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  <Article>
    <Journal>
      <PublisherName>Oxford University Press (OUP)</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2329-6933</Issn>
      <Volume>23</Volume>
      <Issue>5</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Global trends in sarcoidosis-associated mortality, 2001&#8211;2023: insights from the World Health Organization mortality database</ArticleTitle>
    <FirstPage LZero="delete">823</FirstPage>
    <LastPage>827</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Ko</FirstName>
        <LastName>Harada</LastName>
        <Affiliation>Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mariko</FirstName>
        <LastName>Fujii</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Nanami</FirstName>
        <LastName>Sako</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Quynh Thi</FirstName>
        <LastName>Vu</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Nishimura</LastName>
        <Affiliation>Division of Hematology and Oncology, Mayo Clinic</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Keith Pardillada</FirstName>
        <LastName>Belangoy</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hanane</FirstName>
        <LastName>Ouddoud</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tatsuaki</FirstName>
        <LastName>Takeda</LastName>
        <Affiliation>Department of Education and Research Centre for Clinical Pharmacy, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hideharu</FirstName>
        <LastName>Hagiya</LastName>
        <Affiliation>Department of Infectious Diseases, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
    </AuthorList>
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    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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  </Article>
  <Article>
    <Journal>
      <PublisherName>American Association for Cancer Research (AACR)</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1078-0432</Issn>
      <Volume/>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Incidence of B-cell Malignancies in Patients with Lung Cancer Receiving PD-1 Blockade Therapy</ArticleTitle>
    <FirstPage LZero="delete"/>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Toshifumi</FirstName>
        <LastName>Ninomiya</LastName>
        <Affiliation>Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Caiyang</FirstName>
        <LastName>Fang</LastName>
        <Affiliation>Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Teruya</FirstName>
        <LastName>Morinaga</LastName>
        <Affiliation>Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Wenhao</FirstName>
        <LastName>Zhou</LastName>
        <Affiliation>Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation>Department of Pharmaceutical Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Sakura</FirstName>
        <LastName>Miki</LastName>
        <Affiliation>Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Li</FirstName>
        <LastName>Zhu</LastName>
        <Affiliation>Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yusuke</FirstName>
        <LastName>Naoi</LastName>
        <Affiliation>Department of Hematology, Oncology and Respiratory Medicine, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Daisuke</FirstName>
        <LastName>Ennishi</LastName>
        <Affiliation>Department of Hematology, Oncology and Respiratory Medicine, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tomoya</FirstName>
        <LastName>Katsuta</LastName>
        <Affiliation>Department of Respiratory Medicine, Ehime Prefectural Central Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kadoaki</FirstName>
        <LastName>Ohashi</LastName>
        <Affiliation>Department of Respiratory Medicine, Okayama University Hospital, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shin</FirstName>
        <LastName>Morizane</LastName>
        <Affiliation>Department of Dermatology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tomoka</FirstName>
        <LastName>Ohki-Ikeda</LastName>
        <Affiliation>Department of Pathology, Okayama University Hospital, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tatsuya</FirstName>
        <LastName>Nishi</LastName>
        <Affiliation>Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Youki</FirstName>
        <LastName>Ueda</LastName>
        <Affiliation>Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takamasa</FirstName>
        <LastName>Ishino</LastName>
        <Affiliation>Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshinobu</FirstName>
        <LastName>Maeda</LastName>
        <Affiliation>Department of Hematology, Oncology and Respiratory Medicine, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Isamu</FirstName>
        <LastName>Okamoto</LastName>
        <Affiliation>Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Joji</FirstName>
        <LastName>Nagasaki</LastName>
        <Affiliation>Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yosuke</FirstName>
        <LastName>Togashi</LastName>
        <Affiliation>Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
    </AuthorList>
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    <Abstract>Purpose: Many patients with various cancer types have received immune checkpoint inhibitors (ICI) worldwide since their approval, and novel unexpected complications from their long-term use are apparent. We identified some cases of B-cell lymphoma occurring during PD-1 blockade therapy as such unexpected complications. In this study, we aimed to evaluate the incidence of hematologic malignancies in patients with lung cancer receiving PD-1 blockade therapy and to elucidate the mechanisms underlying the progression of these malignancies.&lt;br&gt;
Experimental Design: We performed IHC staining on the clinical samples from patients with B-cell lymphoma that developed during PD-1 blockade therapy and analyzed large-scale real-world datasets. We further investigated the underlying mechanisms through in vitro and in vivo experiments.&lt;br&gt;
Results: A higher incidence of B-cell malignancies has been observed in patients with lung cancer treated with PD-1 blockade therapies based on large-scale real-world data analyses (n = 15,670). The identified lymphomas had a large amount of CD4+ T follicular helper (TFH) cell infiltration. In addition, PD-1 blockade activated PD-1+ TFH cells, which promoted lymphoma proliferation via the IL4/IL4R, IL21/IL21R, and CD40L/CD40 axes. Notably, the lymphomas exhibited high expression of IL4R, IL21R, and CD40.&lt;br&gt;
Conclusions: Our findings highlight the need for careful monitoring and consideration of the potential B-cell malignancy complications in clinical settings in which ICIs are used.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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  </Article>
  <Article>
    <Journal>
      <PublisherName>Elsevier BV</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2211-0348</Issn>
      <Volume>109</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Bile acids as candidate therapies for multiple sclerosis: inverse signal analysis using the FDA adverse event reporting system and preclinical validation</ArticleTitle>
    <FirstPage LZero="delete">107113</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Mizuho</FirstName>
        <LastName>Asada</LastName>
        <Affiliation>Department of Medical Molecular Informatics, Meiji Pharmaceutical University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Fuka</FirstName>
        <LastName>Aizawa</LastName>
        <Affiliation>Department of Pharmacy, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takahisa</FirstName>
        <LastName>Mikami</LastName>
        <Affiliation>Department of Neurology, Massachusetts General Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mitsuhiro</FirstName>
        <LastName>Goda</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical and Health Sciences, Hiroshima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yuhei</FirstName>
        <LastName>Sonoda</LastName>
        <Affiliation>Department of Pharmacy, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takahiro</FirstName>
        <LastName>Niimura</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Masayuki</FirstName>
        <LastName>Chuma</LastName>
        <Affiliation>Department of Hospital Pharmacy and Pharmacology, Asahikawa Medical University and University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshihiro</FirstName>
        <LastName>Uesawa</LastName>
        <Affiliation>Department of Medical Molecular Informatics, Meiji Pharmaceutical University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Keisuke</FirstName>
        <LastName>Ishizawa</LastName>
        <Affiliation>Department of Pharmacy, Tokushima University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background: Alterations in bile acid metabolism have been observed in individuals with multiple sclerosis (MS), yet the therapeutic implications of bile acid supplementation remain uncertain.&lt;br&gt;
Methods: We conducted a two-stage study integrating pharmacovigilance analysis with preclinical validation to evaluate bile acid derivatives as candidate therapies for MS. A disproportionality analysis of the FDA Adverse Event Reporting System (FAERS; Q4/2003&#8211;Q2/2025) was performed to identify inverse associations between MS and bile acid preparations. The effects of ursodeoxycholic acid (UDCA) and obeticholic acid (6-ECDCA) were evaluated in a therapeutic experimental autoimmune encephalomyelitis (EAE) model, with treatment initiated after disease onset.&lt;br&gt;
Results: Among 13,734,539 FAERS reports, 75,659 involved MS. Inverse associations were identified for UDCA (odds ratio [OR]: 0.197, 95% confidence interval [CI]: 0.117&#8211;0.333) and 6-ECDCA (OR: 0.128, 95% CI: 0.041&#8211;0.396). In the EAE model, UDCA was associated with lower clinical scores at the peak (day 18) and late phases (days 26&#8211;28), whereas 6-ECDCA showed only a non-significant trend toward improvement at day 28.&lt;br&gt;
Conclusion: This two-stage investigation highlights the potential utility of pharmacovigilance-guided approaches for identifying therapeutic candidates. Bile acid derivatives, particularly UDCA, are biologically plausible candidates meriting further investigation in the context of MS.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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        <Param Name="value">Bile acids</Param>
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      <Object Type="keyword">
        <Param Name="value">Multiple sclerosis</Param>
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      <Object Type="keyword">
        <Param Name="value">Database analysis</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Drug repositioning</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Experimental autoimmune encephalomyelitis</Param>
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  </Article>
  <Article>
    <Journal>
      <PublisherName>Springer Science and Business Media LLC</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2055-0294</Issn>
      <Volume>12</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Adverse events of romidepsin versus tucidinostat for peripheral T-cell lymphoma: a pharmacovigilance study using the Japanese adverse drug event report database</ArticleTitle>
    <FirstPage LZero="delete">48</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Nao</FirstName>
        <LastName>Takatsu</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jun</FirstName>
        <LastName>Matsumoto</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yurie</FirstName>
        <LastName>Oka</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tomonori</FirstName>
        <LastName>Sakai</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Naohiro</FirstName>
        <LastName>Iwata</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tsukasa</FirstName>
        <LastName>Higashionna</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tatsuaki</FirstName>
        <LastName>Takeda</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Clinical Pharmacology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Clinical Pharmacology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
    </AuthorList>
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    <Abstract>Background Peripheral T-cell lymphoma (PTCL) is a heterogeneous group of lymphomas with poor prognosis, particularly in patients with relapsed or refractory (R/R) disease. Romidepsin and tucidinostat are histone deacetylase inhibitors used to treat R/R PTCL. No head-to-head post-marketing surveillance studies have compared adverse events (AEs) between the two agents. In this brief report, the AE profiles of romidepsin and tucidinostat were compared using the Japanese Adverse Drug Event Report (JADER) database to facilitate their differentiation and promote the management of AEs.&lt;br&gt;
Methods We conducted a descriptive analysis using data from the JADER database from April 2018 to July 2025. The reported AEs for romidepsin and tucidinostat were extracted and classified according to preferred terms (PTs) and system organ classes (SOCs). Reporting odds ratios with 95% confidence intervals were calculated to compare the AE profiles between the groups.&lt;br&gt;
Results In total, 998,397 reports were analysed for all drugs, including 323 for romidepsin and 753 for tucidinostat. Compared with all drugs, both agents showed significant disproportionality signals in four SOCs: Blood and lymphatic system disorders; General disorders and administration site conditions; Investigations; and Neoplasms benign, malignant and unspecified. Romidepsin exhibited additional significant signals in six SOCs: Cardiac disorders, Eye disorders, Gastrointestinal disorders, Immune system disorders, Infections and infestations, and Metabolism and nutrition disorders. Direct comparison between the two agents revealed broader AE profiles for romidepsin, with AEs more frequently reported in eight SOCs, whereas tucidinostat showed AEs in only two SOCs. Romidepsin was associated with AEs more frequently reported in several PTs, including atrial fibrillation and gastrointestinal toxicities, such as constipation, tumour lysis syndrome, hepatotoxicity, and peripheral neuropathy, which was consistent with the results at the SOC level. In contrast, several significant PTs for tucidinostat were observed in General disorders and administration site conditions and Investigations.&lt;br&gt;
Conclusions The Japanese real-world pharmacovigilance analysis showed differences in the AE profiles between romidepsin and tucidinostat. These differences in safety profiles may be useful for treatment selection and AE management in routine clinical practice among patients with R/R PTCL. Further studies are warranted to confirm these findings and better characterise the safety profiles of these agents.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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        <Param Name="value">Romidepsin</Param>
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        <Param Name="value">Adverse event</Param>
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  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>138</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>薬物相互作用（65―気管支喘息治療薬の薬物相互作用）</ArticleTitle>
    <FirstPage LZero="delete">19</FirstPage>
    <LastPage>22</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Takayoshi</FirstName>
        <LastName>Kawabata</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tsukasa</FirstName>
        <LastName>Higashionna</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takashi</FirstName>
        <LastName>Makita</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
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    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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  </Article>
  <Article>
    <Journal>
      <PublisherName>Wiley</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2190-5991</Issn>
      <Volume>17</Volume>
      <Issue>2</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Muscle Atrophy-Related Adverse Events of Antidiabetic Drug Classes: A Pharmacovigilance Analysis Using VigiBase Data</ArticleTitle>
    <FirstPage LZero="delete">e70251</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Shiho</FirstName>
        <LastName>Ueta</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, University of Tokushima Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takahiro</FirstName>
        <LastName>Niimura</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, University of Tokushima Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mitsuhiro</FirstName>
        <LastName>Goda</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, University of Tokushima Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tomoaki</FirstName>
        <LastName>Ishida</LastName>
        <Affiliation>Department of Clinical Pharmacy, Graduate School of Pharmaceutical Sciences, Nagoya City University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Naohiro</FirstName>
        <LastName>Iwata</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tatsuaki</FirstName>
        <LastName>Takeda</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kei</FirstName>
        <LastName>Kawada</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, University of Tokushima Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Koji</FirstName>
        <LastName>Miyata</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, University of Tokushima Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Fuka</FirstName>
        <LastName>Aizawa</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, University of Tokushima Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kenta</FirstName>
        <LastName>Yagi</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, University of Tokushima Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Masayuki</FirstName>
        <LastName>Chuma</LastName>
        <Affiliation>Department of Hospital Pharmacy and Pharmacology, Asahikawa Medical University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yuki</FirstName>
        <LastName>Izawa‐Ishizawa</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, University of Tokushima Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Keisuke</FirstName>
        <LastName>Ishizawa</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, University of Tokushima Graduate School of Biomedical Sciences</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background: Diabetes mellitus―a chronic metabolic disorder associated with an increased risk of muscle atrophy―can significantly impact patients' quality of life and overall health outcomes. While antidiabetic medications are crucial for managing blood glucose levels, some have been linked to muscle-related adverse events, potentially exacerbating the already elevated risk of muscle deterioration in diabetic patients. However, a comprehensive analysis of muscle atrophy-related adverse events across different classes of antidiabetic drugs has been lacking. Therefore, this study investigates the profile of muscle atrophy-related adverse events across major antidiabetic drug classes using the World Health Organization's (WHO's) Individual Case Safety Reports database.&lt;br&gt;
Methods: A pharmacovigilance analysis was conducted using data from VigiBase, the WHO's global reporting database, from 1968 to September 2025. The study examined adverse event signals related to muscle atrophy, sarcopenia, muscular weakness and motor function decline for nine classes of antidiabetic medications. Reporting odds ratios (RORs) were calculated to assess signal detection, and co-occurrence patterns of adverse events were analysed.&lt;br&gt;
Results: Among 41&#8201;551&#8201;306 adverse event reports, 2&#8201;095&#8201;847 were related to antidiabetic medications. Safety signals for muscle atrophy were detected with sulfonylureas (ROR: 1.2, 95% CI: 1.01&#8211;1.43, p&#8201;=&#8201;0.042), GLP-1 analogues (ROR: 1.2, 95% CI: 1.02&#8211;1.41, p&#8201;=&#8201;0.031) and SGLT2 inhibitors (ROR: 1.5, 95% CI: 1.19&#8211;1.78, p&#8201;&lt;&#8201;0.001). SGLT2 inhibitors also showed a signal for sarcopenia (ROR: 6.2, 95% CI: 3.71&#8211;10.3, p&#8201;&lt;&#8201;0.001). Biguanides demonstrated signals for muscular weakness (ROR: 1.6, 95% CI: 1.54&#8211;1.71, p&#8201;&lt;&#8201;0.001) and motor function decline (ROR: 1.7, 95% CI: 1.41&#8211;2.13, p&#8201;&lt;&#8201;0.001). Thiazolidinediones, glinides, DPP-4 inhibitors and alpha-glucosidase inhibitors showed no safety signals for the examined adverse events. Additionally, co-occurrence analysis revealed frequent associations between muscle atrophy and nausea/vomiting, falls and decreased appetite across different drug classes.&lt;br&gt;
Conclusions: These findings indicate notable differences in the profiles of muscle atrophy&#8211;related adverse events among major classes of antidiabetic drugs, suggesting that drug selection may influence the risk of muscle function decline in patients. Clinicians should consider these safety profiles when prescribing antidiabetic therapies; however, causal relationships cannot be inferred solely from pharmacovigilance data. Further studies are warranted to establish causality between antidiabetic drug use and muscle-related adverse events and to elucidate the underlying mechanisms.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">antidiabetic drug</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">muscle atrophy</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">sarcopenia</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">VigiBase</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Springer Science and Business Media LLC</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0770-3198</Issn>
      <Volume>45</Volume>
      <Issue>5</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Global trends in systemic sclerosis-related mortality, 2001&#8211;2023: an epidemiological analysis using World Health Organization mortality data</ArticleTitle>
    <FirstPage LZero="delete">2741</FirstPage>
    <LastPage>2748</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Keith Pardillada</FirstName>
        <LastName>Belangoy</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Nishimura</LastName>
        <Affiliation>Division of Haematology and Oncology, Mayo Clinic, Rochester</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ko</FirstName>
        <LastName>Harada</LastName>
        <Affiliation>Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hideharu</FirstName>
        <LastName>Hagiya</LastName>
        <Affiliation>Department of Infectious Diseases, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Quynh Thi</FirstName>
        <LastName>Vu</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hanane</FirstName>
        <LastName>Ouddoud</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Judah Israel Ong</FirstName>
        <LastName>Lescano</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Michio</FirstName>
        <LastName>Yamamoto</LastName>
        <Affiliation>Graduate School of Human Sciences, The University of Osaka</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tatsuaki</FirstName>
        <LastName>Takeda</LastName>
        <Affiliation>Department of Education and Research Center for Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Objectives This study aimed to evaluate the global trends in systemic sclerosis (SSc)-related mortality by age, sex, and geographic region. SSc is a multisystem autoimmune disease characterized by tissue fibrosis, vascular dysfunction, and multi-organ involvement, which is associated with a high mortality risk.&lt;br&gt;
Methods Using the World Health Organization Mortality Database, we examined trends in SSc-related crude mortality rates (SSc-CRs) and age-standardized mortality rates (SSc-ASMR) per 1,000,000 population from 2001 to 2023. Locally weighted regression was applied to visualize long-term patterns, and Joinpoint regression was used to assess the national trends from 2010 to 2023.&lt;br&gt;
Results Across 74 countries, 85,291 SSc-related deaths were reported, with 79.41% occurring in females. The SSc-CR steadily increased from 1.97 (95% confidence interval [CI]: 1.71&#8211;2.23) in 2001 to 2.34 (95% CI: 2.01&#8211;2.68) in 2023, while the SSc-ASMR decreased from 1.58 (95% CI: 1.42&#8211;1.74) to 1.29 (95% CI: 1.08&#8211;1.50), respectively. Regionally, mortality was the highest in the Western Pacific region and declined in the Americas and Europe, with temporal fluctuations. The SSc-ASMR was highest in countries with a middle sociodemographic index (SDI).&lt;br&gt;
Conclusions While overall age-standardized mortality from SSc has declined in many regions, disparities persist. These results underscore the importance of sustaining research and enhancing disease awareness, as well as developing strategies to reduce mortality in high-risk populations and regions.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Age-standardized mortality rate</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Global health</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Mortality trends</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Sociodemographic index</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Systemic sclerosis</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>JMIR Publications Inc.</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2369-3762</Issn>
      <Volume>12</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Prescription Support Practice for Pharmacy Students: Pre-Post Educational Intervention Study</ArticleTitle>
    <FirstPage LZero="delete">e79545</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Fuka</FirstName>
        <LastName>Aizawa</LastName>
        <Affiliation>Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kenta</FirstName>
        <LastName>Yagi</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tsukasa</FirstName>
        <LastName>Higashionna</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shimon</FirstName>
        <LastName>Takahashi</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kazuaki</FirstName>
        <LastName>Shinomiya</LastName>
        <Affiliation>Department of Pharmaceutical Care and Clinical Pharmacy, Tokushima Bunri University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takahiro</FirstName>
        <LastName>Niimura</LastName>
        <Affiliation>Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mitsuhiro</FirstName>
        <LastName>Goda</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kei</FirstName>
        <LastName>Kawada</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Keisuke</FirstName>
        <LastName>Ishizawa</LastName>
        <Affiliation>Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background: In the field of team-based care, pharmacists are vital for optimizing medication therapy. However, many medical professionals lack the opportunity to learn how to propose prescription changes with precision.&lt;br&gt;
Objective: This study aimed to address this knowledge gap by developing and assessing a new educational program for pharmacy students focused on prescription support and interprofessional collaboration.&lt;br&gt;
Methods: We recruited 191 fifth-year pharmaceutical students during the 2022‐2024 academic years. The program featured a 7-day intensive curriculum that included learning how to assist with prescriptions, analyzing clinical data, and engaging in role-playing exercises. A web-based questionnaire and a paper test were used to evaluate students’ awareness and knowledge both before and after the program. Statistical analyses were performed to verify the significance of changes; we utilized the Wilcoxon signed-rank test for the ordinal data derived from the specific behavioral objectives and 2-tailed paired t tests for the interval data from the knowledge tests. The magnitude of change was quantified using r for Wilcoxon tests and Cohen dz for 2-tailed t tests, with 95% CI calculated to ensure the stability and reliability of the observed results.&lt;br&gt;
Results: Analysis of the primary outcome specific behavioral objectives revealed statistically significant effects across all items (Wilcoxon signed-rank test; P&lt;.001). Effect sizes (r=0.505‐0.835) ranged from moderate to large, with particularly large effects observed in identifying contents issue (r=0.835, 95% CI 0.126-0.330; P&lt;.001). Knowledge test scores showed significant improvement in the following 3 subjects: pharmacology (r=−0.504, 95% CI &#8211;0.215 to 0.127; P&lt;.001), organic chemistry (r=0.254, 95% CI &#8211;0.148 to &#8211;0.193; P=.004), and communication (r=0.221, 95% CI &#8211;0.151 to &#8211;0.190; P=.01). No significant changes were observed in pathology or pharmacokinetics.&lt;br&gt;
Conclusions: This program provides strong evidence that practical, hands-on learning with hospital pharmacists helps improve pharmacy students’ professional skills and optimize pharmaceutical therapies in interprofessional care. By teaching pharmacists to effectively propose prescription changes, the program equips them to become integral members of interprofessional care, ultimately leading to optimized pharmaceutical care for patients.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">academic detailing</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">pharmaceutical clinical practice</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">prescription support</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">professional education</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Interprofessional care</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Elsevier BV</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1201-9712</Issn>
      <Volume>164</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Global trends in Clostridioides difficile infection&#8211;related mortality, 2001-2023: An observational study</ArticleTitle>
    <FirstPage LZero="delete">108315</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Hideharu</FirstName>
        <LastName>Hagiya</LastName>
        <Affiliation>Department of Infectious Diseases, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Nishimura</LastName>
        <Affiliation>Division of Hematology/Oncology, Mayo Clinic</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ko</FirstName>
        <LastName>Harada</LastName>
        <Affiliation>Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Maki</FirstName>
        <LastName>Yamamoto</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tatsuaki</FirstName>
        <LastName>Takeda</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Quynh Thi</FirstName>
        <LastName>Vu</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Keith Pardillada</FirstName>
        <LastName>Belangoy</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hanane</FirstName>
        <LastName>Ouddoud</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Objectives: Clostridioides difficile infection (CDI) is a major public health concern, particularly in aging populations. The aim of this study was to evaluate global trends in CDI-related mortality to inform sustainable and cost-effective management strategies.&lt;br&gt;
Methods: We conducted an observational study using mortality data from the World Health Organization (WHO) database spanning 2001 to 2023. Sixty-three countries with satisfactory data quality and at least 12 years of data between 2001 and 2023 were included. Crude and age-standardized CDI-related mortality rates per 1,000,000 individuals were calculated after stratification by age, sex, WHO region, and sociodemographic index (SDI). Global trends were analyzed using locally weighted regression.&lt;br&gt;
Results: The global age-standardized CDI-related mortality rate was 0.76 per 1,000,000 individuals in 2001, peaked at 4.08 in 2010, and declined to 2.44 in 2023. The most notable downward trends were observed in the Americas and high-SDI countries. These improvements may reflect the impact of multidisciplinary efforts in CDI prevention and management.&lt;br&gt;
Conclusions: Although CDI-related mortality has declined globally over the past decade, the disease remains a significant threat, especially in older populations. Ongoing global efforts are essential to further reduce CDI-related deaths.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Aging</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Locally weighted regression model</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Infection</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Clostridioides difficile</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Disparity</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Pharmaceutical Society of Japan</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0918-6158</Issn>
      <Volume>49</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Exploratory Analysis for Development Predictive Models of Immune Checkpoint Inhibitor-Induced Myocarditis Using a Nationwide Claims Database</ArticleTitle>
    <FirstPage LZero="delete">66</FirstPage>
    <LastPage>73</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Reina</FirstName>
        <LastName>Yamamoto</LastName>
        <Affiliation>Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Koki</FirstName>
        <LastName>Nakagomi</LastName>
        <Affiliation>Department of Clinical Pharmacy, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Miyu</FirstName>
        <LastName>Uchiyama</LastName>
        <Affiliation>Department of Clinical Pharmacy, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ayana</FirstName>
        <LastName>Michihara</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Aya F.</FirstName>
        <LastName>Ozaki</LastName>
        <Affiliation>Department of Clinical Pharmacy Practice, School of Pharmacy &amp;amp; Pharmaceutical Sciences, University of California</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Pranav M.</FirstName>
        <LastName>Patel</LastName>
        <Affiliation>Division of Cardiology, School of Medicine, University of California</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Maki</FirstName>
        <LastName>Tanioka</LastName>
        <Affiliation>Medical AI Project, Dentistry and Pharmaceutical Science, Okayama University Graduate School of Medicine</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takashi</FirstName>
        <LastName>Uehara</LastName>
        <Affiliation>Department of Medicinal Pharmacology, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Immune checkpoint inhibitors (ICIs), essential in cancer therapy, can cause severe immune-related adverse events (irAEs), including myocarditis with a high fatality rate. Currently, the pathogenesis, biomarkers, and risk factors of ICI-induced myocarditis (ICIM) are not fully understood. This exploratory study aimed to develop machine learning-based models to predict the onset of ICIM within 3 months of starting ICI therapy, using a large health insurance database. The models were constructed using the Light Gradient Boosting Machine (LightGBM) and Random Forest algorithms, incorporating clinical variables such as comorbidities and prior medication classifications. In this study, a strategy combining undersampling and bagging was used to minimize the impact of highly imbalanced datasets. The Random Forest model demonstrated superior performance compared with the LightGBM model, and the SHapley Additive exPlanations (SHAP) analysis for the Random Forest model revealed that the concurrent use of ICIs was the most important variable for predictions. Although predictive performance remains limited (AUROC &#8776; 0.63), this exploratory framework demonstrates the feasibility of developing data-driven risk prediction models for ICIM. Future studies with expanded datasets and integration of laboratory parameters are warranted to improve predictive accuracy and potential clinical applicability.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">machine learning</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">immune checkpoint inhibitor</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">myocarditis</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">adverse event</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Oxford University Press (OUP)</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1083-7159</Issn>
      <Volume>30</Volume>
      <Issue>7</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Pharmacovigilance study for the identification of mogamulizumab-induced immune-related adverse events using a real-world database</ArticleTitle>
    <FirstPage LZero="delete">oyaf201</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Koji</FirstName>
        <LastName>Miyata</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yuki</FirstName>
        <LastName>Izawa-Ishizawa</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takahiro</FirstName>
        <LastName>Niimura</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiko</FirstName>
        <LastName>Yoshioka</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mizusa</FirstName>
        <LastName>Hyodo</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shuto</FirstName>
        <LastName>Itokazu</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tatsumi</FirstName>
        <LastName>Miyata</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Fuka</FirstName>
        <LastName>Aizawa</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kenta</FirstName>
        <LastName>Yagi</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kei</FirstName>
        <LastName>Kawada</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mitsuhiro</FirstName>
        <LastName>Goda</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Keisuke</FirstName>
        <LastName>Ishizawa</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background: Mogamulizumab is a humanized anti-CCR4 monoclonal antibody used for relapsed/refractory adult T-cell leukemia, cutaneous T-cell lymphoma, and/or S&#233;zary syndrome. Reports of immune-related adverse events (irAEs) in these patients are increasing, and the association between irAEs and mogamulizumab remains to be elucidated. This study aimed to evaluate the association between mogamulizumab and immune-related adverse events (irAEs), as well as to characterize the irAEs associated with mogamulizumab using data from a large-scale spontaneous reporting system.&lt;br&gt;
Methods: We performed an exploratory hypothesis-generating analysis of patients from 1967 to September 2023 using VigiBase, a World Health Organization spontaneous adverse event reporting system database. We performed a disproportionality analysis and determined the reporting odds ratios and information components between the drugs of interest and each irAE.&lt;br&gt;
Results: Mogamulizumab was associated with some irAEs, including myocarditis, severe cutaneous adverse reactions, hepatitis, and myositis. Mogamulizumab exhibited significantly higher reporting rates of these 4 irAEs compared to the anticancer agents other than mogamulizumab. Conversely, the reporting rate of other irAEs, including endocrine autoimmune diseases induced by immune checkpoint inhibitors, was not significant in patients who received mogamulizumab.&lt;br&gt;
Conclusions: Mogamulizumab is associated with irAEs, including myocarditis, severe cutaneous adverse reactions, hepatitis, and myositis.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">irAEs</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">mogamulizumab</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">VigiBase</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">disproportionality analysis</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">s&#233;zary syndrome</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>137</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>薬物相互作用（64―抗サイトメガロウイルス薬の薬物相互作用）</ArticleTitle>
    <FirstPage LZero="delete">137</FirstPage>
    <LastPage>139</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yoshikazu</FirstName>
        <LastName>Teramoto</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Wiley</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1752-8054</Issn>
      <Volume>18</Volume>
      <Issue>10</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Effectiveness of Statins for Oxaliplatin‐Induced Peripheral Neuropathy: A Multicenter Retrospective Observational Study</ArticleTitle>
    <FirstPage LZero="delete">e70318</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Kenshi</FirstName>
        <LastName>Takechi</LastName>
        <Affiliation>Department of Drug Information Analysis, College of Pharmaceutical Sciences, Matsuyama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takehiro</FirstName>
        <LastName>Kawashiri</LastName>
        <Affiliation>Department of Clinical Pharmacy and Pharmaceutical Care, Graduate School of Pharmaceutical Sciences, Kyushu University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Keisuke</FirstName>
        <LastName>Mine</LastName>
        <Affiliation>Department of Clinical Pharmacy and Pharmaceutical Care, Graduate School of Pharmaceutical Sciences, Kyushu University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Soichiro</FirstName>
        <LastName>Ushio</LastName>
        <Affiliation>Department of Emergency and Disaster Medical Pharmacy, Faculty of Pharmaceutical Sciences, Fukuoka University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Noriko</FirstName>
        <LastName>Hida</LastName>
        <Affiliation>Department of Clinical Research and Development, Graduate School of Pharmacy, SHOWA Medical University </Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kenji</FirstName>
        <LastName>Momo</LastName>
        <Affiliation>Department of Hospital Pharmaceutics, Graduate School of Pharmacy, SHOWA Medical University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Masanobu</FirstName>
        <LastName>Uchiyama</LastName>
        <Affiliation>Department of Oncology and Infectious Disease Pharmacy, Faculty of Pharmaceutical Sciences, Fukuoka University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mami</FirstName>
        <LastName>Uchida</LastName>
        <Affiliation>Department of Pharmacy, Fukuoka University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mamoru</FirstName>
        <LastName>Tanaka</LastName>
        <Affiliation>Division of Pharmacy, Ehime University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Noriaki</FirstName>
        <LastName>Hidaka</LastName>
        <Affiliation>Division of Pharmacy, Ehime University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hideki</FirstName>
        <LastName>Yasui</LastName>
        <Affiliation>Center for Clinical Research, Hamamatsu University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Masahiro</FirstName>
        <LastName>Ueda</LastName>
        <Affiliation>Faculty of Pharmaceutical Sciences, Setsunan University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ryohei</FirstName>
        <LastName>Fujii</LastName>
        <Affiliation>Department of Pharmacy, Kansai Medical University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Misaki</FirstName>
        <LastName>Hashimoto</LastName>
        <Affiliation>Department of Pharmacy, Kansai Medical University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yasutaka</FirstName>
        <LastName>Sakamoto</LastName>
        <Affiliation>Department of Pharmacy, Yokohama City University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kana</FirstName>
        <LastName>Uyama</LastName>
        <Affiliation>Department of Pharmacy, Yokohama City University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takahiro</FirstName>
        <LastName>Niimura</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, University of Tokushima Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yuki</FirstName>
        <LastName>Hanai</LastName>
        <Affiliation>Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Toho University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ayaka</FirstName>
        <LastName>Tsuboya</LastName>
        <Affiliation>Department of Pharmacy, Kawasaki Municipal Tama Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Keisuke</FirstName>
        <LastName>Suzuki</LastName>
        <Affiliation>Innovation Center for Translational Research, National Center for Geriatrics and Gerontology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Naoya</FirstName>
        <LastName>Kamiyama</LastName>
        <Affiliation>Asahikawa Medical University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiromi</FirstName>
        <LastName>Hagiwara</LastName>
        <Affiliation>Nagoya City University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Naoto</FirstName>
        <LastName>Okada</LastName>
        <Affiliation>Pharmacy Department, Yamaguchi University Hospital </Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Keisuke</FirstName>
        <LastName>Ishizawa</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, University of Tokushima Graduate School of Biomedical Sciences</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Chemotherapy-induced peripheral neuropathy, including oxaliplatin-induced peripheral neuropathy (OIPN), can have a negative impact on patient quality of life for months or even years after discontinuation of chemotherapy. Statins are commonly used for lowering cholesterol; however, evidence indicates that statins have multiple pleiotropic effects. Although statins are anticipated to exert neuroprotective actions against OIPN, no large-scale investigations have been conducted in real-world clinical settings. Our investigation aimed to determine if statins protected against OIPN. This multicentre retrospective study enrolled Japanese patients with cancer, including those with colorectal cancer (CRC), who received oxaliplatin-containing chemotherapy between April 2009 and December 2019. Propensity score matching between groups was performed to assess the relationship between the occurrence of OIPN and statin use. Among the examined 2657 patients receiving oxaliplatin, 24.7% had Grade &#8805;&#8201;2 OIPN. There was no significant difference in the incidence of OIPN between the statin and non-statin groups, even after propensity score matching. However, among the matched patients with CRC (n&#8201;=&#8201;510), statin use was associated with a significantly lower incidence of Grade &#8805;&#8201;2 OIPN than no statin use (19.8% vs. 28.3%, respectively; p&#8201;=&#8201;0.029). Our findings indicate that statins may protect against OIPN in patients with CRC.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">cancer</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">colorectal cancer</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">oxaliplatin</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">peripheral neuropathy</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">statins</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Elsevier BV</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2666-0873</Issn>
      <Volume>7</Volume>
      <Issue>6</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Risk of Heart Failure Hospitalization in Patients Treated With Osimertinib</ArticleTitle>
    <FirstPage LZero="delete">738</FirstPage>
    <LastPage>748</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yasuhisa</FirstName>
        <LastName>Tatebe</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yuta</FirstName>
        <LastName>Tanaka</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yohei</FirstName>
        <LastName>Manabe</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shinobu</FirstName>
        <LastName>Okano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tsukasa</FirstName>
        <LastName>Higashionna</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kiminaka</FirstName>
        <LastName>Murakawa</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background Osimertinib, an oral epidermal growth factor receptor tyrosine kinase inhibitor, is used to treat patients with epidermal growth factor receptor&#8211;mutant non&#8211;small-cell lung cancer. Although osimertinib has been linked to heart failure (HF), detailed risk estimates remain unclear.&lt;br&gt;
Objectives The aim of this study was to examine the association between osimertinib use and HF hospitalization.&lt;br&gt;
Methods In this retrospective cohort study using a large-scale Japanese claims database, patients diagnosed with lung cancer between April 2008 and December 2021 who received cancer therapy were identified. Patients were categorized into osimertinib and control groups according to treatment received. The incidence of HF hospitalization during the treatment period was compared between the groups. Multivariable analyses were performed before and after propensity score matching.&lt;br&gt;
Results The osimertinib and control groups included 11,391 and 108,144 patients, respectively. Among the entire cohort, the median age was 70 years (Q1-Q3: 64-76 years), and the median follow-up duration was 173 days (Q1-Q3: 73-448 days). The incidence of HF hospitalization was 9.9 and 4.1 cases per 1,000 person-years in the osimertinib and control groups, respectively. In multivariable analysis, osimertinib was associated with a higher risk for HF hospitalization than control therapy (subdistribution HR: 2.56; 95% CI: 2.07-3.18; P &lt; 0.001). This association remained significant after propensity score matching (subdistribution HR: 2.29; 95% CI: 1.62-3.24; P &lt; 0.001).&lt;br&gt;
Conclusions Osimertinib use was associated with an increased risk for HF hospitalization. Cardiac function should be closely monitored in patients receiving osimertinib.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">adverse events</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">cardiotoxicity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">epidermal growth factor receptor tyrosine kinase inhibitor</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">heart failure</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">lung cancer</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">pharmacotherapy</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">propensity score matching</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Wiley</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1752-8054</Issn>
      <Volume>18</Volume>
      <Issue>8</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Cardiotoxicity Assessment of EGFR Tyrosine Kinase Inhibitors Using Human iPS Cell‐Derived Cardiomyocytes and FDA Adverse Events Reporting System</ArticleTitle>
    <FirstPage LZero="delete">e70325</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Shota</FirstName>
        <LastName>Yanagida</LastName>
        <Affiliation>Division of Pharmacology, National Institute of Health Sciences (NIHS)</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiroyuki</FirstName>
        <LastName>Kawagishi</LastName>
        <Affiliation>Division of Pharmacology, National Institute of Health Sciences (NIHS)</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mitsuo</FirstName>
        <LastName>Saito</LastName>
        <Affiliation>Japan Pharmaceutical Information Center (JAPIC)</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yasunari</FirstName>
        <LastName>Kanda</LastName>
        <Affiliation>Division of Pharmacology, National Institute of Health Sciences (NIHS)</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Recent advances in the development of anti-cancer drugs have contributed to prolonged survival of cancer patients. In contrast, drug-induced cardiotoxicity, particularly cardiac contractile dysfunction, is of growing concern in cancer treatment. Therefore, it is important to understand the risks of anti-cancer drug-induced cardiac contractile dysfunction in drug development. We have previously developed image-based motion analysis using human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) to assess the effect of drugs on contractility. However, the utility and predictive potential of image-based motion analysis using hiPSC-CMs for anti-cancer drug-induced cardiac contractile dysfunction have not been well understood. Here we focused on epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) and investigated the correlation between the hiPSC-CMs data and clinical signals of adverse events related to cardiac contractile dysfunction. We examined the effects of the four EGFR-TKIs, osimertinib, gefitinib, afatinib, and erlotinib, on the contractility of hiPSC-CMs using image-based motion analysis. We found that osimertinib decreased contraction velocity and deformation distance in a dose- and time-dependent manner, whereas gefitinib, afatinib, and erlotinib had little effect on these parameters. Next, we examined the real-world data of the EGFR-TKIs using FDA Adverse Event Reporting System (FAERS; JAPIC AERS). Only osimertinib showed significant clinical signals of adverse events related to cardiac contractile dysfunction. These data suggest that hiPSC-CM data correlate with clinical signals in FAERS analysis for four EGFR-TKIs. Thus, image-based motion analysis using hiPSC-CMs can be a useful platform for predicting the risk of anti-cancer drug-induced cardiac contractile dysfunction in patients.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">cardiomyocytes</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">cardiotoxicity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">contractility</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">EGFR-tyrosine kinase inhibitor</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">FAERS</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">human iPS cell</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Elsevier BV</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0753-3322</Issn>
      <Volume>188</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Unravelling the cardioprotective effects of calcitriol in Sunitinib-induced toxicity: A comprehensive in silico and in vitro study</ArticleTitle>
    <FirstPage LZero="delete">118137</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yoshika</FirstName>
        <LastName>Sakamoto</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takahiro</FirstName>
        <LastName>Niimura</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mitsuhiro</FirstName>
        <LastName>Goda</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Nanami</FirstName>
        <LastName>Tomochika</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Wakana</FirstName>
        <LastName>Murakawa</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Fuka</FirstName>
        <LastName>Aizawa</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kenta</FirstName>
        <LastName>Yagi</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yuki</FirstName>
        <LastName>Izawa-Ishizawa</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Keisuke</FirstName>
        <LastName>Ishizawa</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Sunitinib (SUN), a drug used to treat advanced renal cell carcinoma and other cancers, causes cardiotoxicity. This study aimed to identify a potential drug candidate to counteract SUN-induced cardiotoxicity. We analysed real-world data from adverse event report databases of existing clinically approved drugs to identify potential candidates. Through in silico analyses and in vitro experiments, the mechanisms of action were determined. The study identified calcitriol (CTL), an active form of vitamin D, as a promising candidate against SUN-induced cardiotoxicity. In H9c2 cells, SUN decreased cell viability significantly, whereas CTL mitigated this effect significantly. The SUN-treated group exhibited increased autophagy in H9c2 cells, which was reduced significantly in the CTL group. Bioinformatics analysis using Ingenuity Pathway Analysis revealed the mechanistic target of rapamycin (mTOR) as a common factor between autophagy and CTL. Notably, rapamycin, an mTOR inhibitor, nullified the effects of CTL on cell viability and autophagy. Furthermore, SUN treatment led to significant reductions in cardiomyocyte diameters and increases in their widths, changes that were inhibited by CTL. SUN also induced morphological changes in surviving H9c2 cells, causing them to adopt a rounded shape, whereas CTL improved their morphology to resemble the elongated shape of the control group. In conclusion, the findings of the present study suggest that CTL has the potential to prevent SUN-induced cardiomyocyte damage through autophagy, particularly via mTOR-mediated pathways. The findings indicate that CTL could serve as an effective prophylactic agent against SUN-induced cardiotoxicity, offering a promising avenue for further research and potential clinical applications.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Sunitinib</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Advanced renal cell carcinoma</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Cardiotoxicity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Calcitriol</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Autophagy</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">MTOR</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Springer Science and Business Media LLC</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2057-3804</Issn>
      <Volume>11</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Time dependent predictors of cardiac inflammatory adverse events in cancer patients receiving immune checkpoint inhibitors</ArticleTitle>
    <FirstPage LZero="delete">40</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Michael</FirstName>
        <LastName>Sayer</LastName>
        <Affiliation>School of Pharmacy &amp; Pharmaceutical Sciences, University of California</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Misako</FirstName>
        <LastName>Nagasaka</LastName>
        <Affiliation>Division of Hematology and Oncology, University of California</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Benjamin J.</FirstName>
        <LastName>Lee</LastName>
        <Affiliation>Department of Pharmacy, University of California Irvine Health</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jean</FirstName>
        <LastName>Doh</LastName>
        <Affiliation>Department of Pharmacy, University of California Irvine Health</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Pranav M.</FirstName>
        <LastName>Patel</LastName>
        <Affiliation>Division of Cardiology, Department of Medicine, University of California</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Aya F.</FirstName>
        <LastName>Ozaki</LastName>
        <Affiliation>School of Pharmacy &amp; Pharmaceutical Sciences, University of California</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background: Cardio-inflammatory immune related adverse events (irAEs) while receiving immune checkpoint inhibitor (ICI) therapy are particularly consequential due to their associations with poorer treatment outcomes. Evaluation of predictive factors of these serious irAEs with a time dependent approach allows better understanding of patients most at risk.&lt;br&gt;
Objective: To identify different elements of patient data that are significant predictors of early and late-onset or delayed cardio-inflammatory irAEs through various predictive modeling strategies.&lt;br&gt;
Methods: A cohort of patients receiving ICI therapy from January 1, 2010 to May 1, 2022 was identified from TriNetX meeting inclusion/exclusion criteria. Patient data collected included occurrence of early and later cardio-inflammatory irAEs, patient survival time, patient demographic information, ICI therapies, comorbidities, and medication histories. Predictive and statistical modeling approaches identified unique risk factors for early and later developing cardio-inflammatory irAEs.&lt;br&gt;
Results: A cohort of 66,068 patients on ICI therapy were identified in the TriNetX platform; 193 (0.30%) experienced early cardio-inflammatory irAEs and 175 (0.26%) experienced later cardio-inflammatory irAEs. Significant predictors for early irAEs included: anti-PD-1 therapy at index, combination ICI therapy at index, and history of peripheral vascular disease. Significant predictors for later irAEs included: a history of myocarditis and/or pericarditis, cerebrovascular disease, and history of non-steroidal anti-inflammatory medication use.&lt;br&gt;
Conclusions: Cardio-inflammatory irAEs can be divided into clinically meaningful categories of early and late based on time since initiation of ICI therapy. Considering distinct risk factors for early-onset and late-onset events may allow for more effective patient monitoring and risk assessment.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Immune checkpoint inhibitors</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Immune-Related adverse events</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Myocarditis</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Pericarditis</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Predictive modeling</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">TriNetx</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>137</Volume>
      <Issue>2</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>薬物相互作用（63―薬物相互作用の観点からみた抗真菌薬の使用上の注意点）</ArticleTitle>
    <FirstPage LZero="delete">72</FirstPage>
    <LastPage>75</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Ryo</FirstName>
        <LastName>Kikuoka</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tsukasa</FirstName>
        <LastName>Higashionna</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Elsevier BV</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2589-5370</Issn>
      <Volume>86</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Global trends in mortality related to pulmonary embolism: an epidemiological analysis of data from the World Health Organization mortality database from 2001 to 2023</ArticleTitle>
    <FirstPage LZero="delete">103389</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Hideharu</FirstName>
        <LastName>Hagiya</LastName>
        <Affiliation>Department of Infectious Diseases, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ko</FirstName>
        <LastName>Harada</LastName>
        <Affiliation>Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Nishimura</LastName>
        <Affiliation>Division of Hematology and Oncology, Mayo Clinic</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Maki</FirstName>
        <LastName>Yamamoto</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Sayoko</FirstName>
        <LastName>Nishimura</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Michio</FirstName>
        <LastName>Yamamoto</LastName>
        <Affiliation>Graduate School of Human Sciences, Osaka University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takahiro</FirstName>
        <LastName>Niimura</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Institute of Biomedical Sciences, Tokushima University Graduate School</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yuka</FirstName>
        <LastName>Osaki</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Quynh Thi</FirstName>
        <LastName>Vu</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mariko</FirstName>
        <LastName>Fujii</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Nanami</FirstName>
        <LastName>Sako</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tatsuaki</FirstName>
        <LastName>Takeda</LastName>
        <Affiliation>Center for Education in Medicine and Health Sciences, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Medical Development Field, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Medical Development Field, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Pulmonary embolism</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Mortality</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">WHO</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Global trends</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Elsevier BV</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1201-9712</Issn>
      <Volume>158</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Trends in nontuberculous mycobacterial disease mortality based on 2000-2022 data from 83 countries</ArticleTitle>
    <FirstPage LZero="delete">107932</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Ko</FirstName>
        <LastName>Harada</LastName>
        <Affiliation>Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Quynh Thi</FirstName>
        <LastName>Vu</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Nishimura</LastName>
        <Affiliation>Division of Hematology/Oncology, Mayo Clinic</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tatsuaki</FirstName>
        <LastName>Takeda</LastName>
        <Affiliation>Department of Education and Research Centre for Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yusuke</FirstName>
        <LastName>Minato</LastName>
        <Affiliation>Center for Infectious Disease Research, Fujita Health University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hideharu</FirstName>
        <LastName>Hagiya</LastName>
        <Affiliation>Department of Infectious Diseases, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Objectives: To examine the international trends for nontuberculous mycobacterial-associated mortality rates, as nontuberculous mycobacterial infections are becoming increasingly prevalent and pose a significant public health challenge, especially in older populations.&lt;br&gt;
Methods: This retrospective observational study used data from the World Health Organization mortality database, which included patients with nontuberculous mycobacterial infection in 83 countries. We stratified the data by sex, age, and geographic region and calculated crude and age-standardized mortality rates to estimate long-term mortality trends.&lt;br&gt;
Results: In total, 42,182 nontuberculous mycobacterial infection-associated deaths (58.1% in women) were reported in 83 countries between 2000 and 2022. The locally weighted regression model estimation for the nontuberculous mycobacterial infection-associated mortality rate more than doubled―from 0.36 deaths per 1000,000 individuals in 2000 to 0.77 deaths per 1000,000 individuals in 2022. Eighty-six percent of nontuberculous mycobacterial infection-associated deaths occurred in people aged &#8805;65 years. The mortality rate was the highest in the Western Pacific Region.&lt;br&gt;
Conclusion: This study highlights the impact of emerging nontuberculous mycobacterial diseases and the importance of targeted interventions for managing and reducing mortality, particularly in vulnerable older populations. Further studies are warranted to determine the factors contributing to geographical disparity and treatment options.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Population surveillance</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Mortality</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Nontuberculous mycobacterial infections</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Wiley</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0306-5251</Issn>
      <Volume>91</Volume>
      <Issue>9</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Comprehensive analysis of adverse event profile changes with pertuzumab addition to trastuzumab‐based breast cancer therapy: Disproportionality analysis using VigiBase</ArticleTitle>
    <FirstPage LZero="delete">2659</FirstPage>
    <LastPage>2671</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Tatsuaki</FirstName>
        <LastName>Takeda</LastName>
        <Affiliation>Department of Education and Research Center for Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jun</FirstName>
        <LastName>Matsumoto</LastName>
        <Affiliation>Department of Education and Research Center for Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tomonori</FirstName>
        <LastName>Sakai</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Naohiro</FirstName>
        <LastName>Iwata</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Noritaka</FirstName>
        <LastName>Ariyoshi</LastName>
        <Affiliation>Department of Education and Research Center for Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Aims: Pertuzumab is used in combination with trastuzumab-based therapy for HER2-positive breast cancer. However, real-world safety information on pertuzumab remains limited. This study assessed the safety of adding pertuzumab to trastuzumab-based therapy for HER2-positive breast cancer using real-world data.&lt;br&gt;
Methods: VigiBase, the World Health Organization's global database of adverse events (AEs), containing reports from November 1967 to December 2023, was used. Signals for pertuzumab-associated AEs in breast cancer cases were detected using the reporting odds ratio (ROR).&lt;br&gt;
Results: Signals of trastuzumab plus pertuzumab relative to trastuzumab alone were detected in gastrointestinal disorders (ROR: 1.45, 95% confidence interval: 1.26&#8211;1.67), including diarrhoea (3.49, 2.83&#8211;4.30); infections and infestations (1.54, 1.24&#8211;1.91); and skin and subcutaneous tissue disorders (ROR: 1.63, 1.40&#8211;1.90), including pruritus (1.96, 1.51&#8211;2.55) and rash (1.63, 1.20&#8211;2.23). Further, signals of trastuzumab plus docetaxel plus pertuzumab relative to those of trastuzumab plus docetaxel were detected in gastrointestinal disorders (1.63, 1.38&#8211;1.93), including nausea (1.72, 1.24&#8211;2.39) and vomiting (1.48, 1.01&#8211;2.17), and in nervous system disorders (1.50, 1.20&#8211;1.87), including paraesthesia (2.60, 1.33&#8211;5.08) and peripheral sensory neuropathy (5.94, 1.79&#8211;19.71). The frequency of AEs causing or prolonging hospitalization was increased with trastuzumab plus pertuzumab compared to that with trastuzumab alone (1.18, 1.00&#8211;1.38).&lt;br&gt;
Conclusions: AE profiles after the addition of pertuzumab to trastuzumab-based therapy were comprehensively identified. The findings in this study highlight the importance of considering these AEs when selecting pertuzumab combination therapy to ensure the safety of patients with breast cancer.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">adverse event</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">breast cancer</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">pertuzumab</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">trastuzumab</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">VigiBase</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>137</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>薬物相互作用（62―カリウム吸着薬の薬物相互作用）</ArticleTitle>
    <FirstPage LZero="delete">30</FirstPage>
    <LastPage>32</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Saori</FirstName>
        <LastName>Ariki</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Okayama University Medical School</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0386-300X</Issn>
      <Volume>79</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Photoinitiators Induce Histamine Production in Human Mast Cells</ArticleTitle>
    <FirstPage LZero="delete">51</FirstPage>
    <LastPage>58</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Taro</FirstName>
        <LastName>Miura</LastName>
        <Affiliation>Department of Clinical Pharmacy, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoichi</FirstName>
        <LastName>Kawasaki</LastName>
        <Affiliation>Laboratory of Clinical Pharmacology and Therapeutics, Kagawa School of Pharmaceutical Sciences, Tokushima Bunri University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Clinical Pharmacy, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Clinical Pharmacy, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshiaki</FirstName>
        <LastName>Sendo</LastName>
        <Affiliation>Department of Clinical Pharmacy, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Original Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.18926/AMO/68362</ArticleId>
    </ArticleIdList>
    <Abstract>Photoinitiators are used in the manufacture of many daily products, and may produce harmful effects due to their cytotoxicity. They have also been detected in human serum. Here, we investigated the histamine-producing effects in HMC-1 cells and the inflammatory cytokine release effects in RAW264 cells for four photoinitiators: 1-hydroxycyclohexyl phenyl ketone; 2-isopropylthioxanthone; methyl 2-benzoylbenzoate; and 2-methyl-4´-(methylthio)-2-morpholinopropiophenone. All four promoted histamine production in HMC-1 cells; however, they did not significantly affect the release of inflammatory cytokines in RAW264 cells. These findings suggest that these four photoinitiators induce inflammatory cytokine-independent histamine production, potentially contributing to histamine-mediated chronic inflammation in vitro.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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        <Param Name="value">photoinitiator</Param>
      </Object>
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        <Param Name="value">injection</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">histamine</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">inflammation</Param>
      </Object>
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  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>136</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>薬物相互作用（61―がん悪液質治療薬の相互作用）</ArticleTitle>
    <FirstPage LZero="delete">135</FirstPage>
    <LastPage>138</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Eiji</FirstName>
        <LastName>Kawakami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiroto</FirstName>
        <LastName>Okuda</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Frontiers Media</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1663-9812</Issn>
      <Volume>15</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Ameliorating effect of chotosan and its active component, Uncaria hook, on lipopolysaccharide-induced anxiety-like behavior in mice</ArticleTitle>
    <FirstPage LZero="delete">1471602</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yasumasa</FirstName>
        <LastName>Okawa</LastName>
        <Affiliation>Department of Clinical Pharmacy, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Soichiro</FirstName>
        <LastName>Ushio</LastName>
        <Affiliation>Department of Clinical Pharmacy, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yasuhisa</FirstName>
        <LastName>Izushi</LastName>
        <Affiliation>Department of Pharmacotherapy, School of Pharmacy, Shujitsu University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshihisa</FirstName>
        <LastName>Kitamura</LastName>
        <Affiliation>Department of Pharmacotherapy, School of Pharmacy, Shujitsu University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Clinical Pharmacy, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshiaki</FirstName>
        <LastName>Sendo</LastName>
        <Affiliation>Department of Clinical Pharmacy, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Introduction: In this study, we aimed to examine the effects of chotosan, a traditional Japanese botanical drug, and its active component, Uncaria hook, on anxiety-like behaviors induced by systemic inflammation in mice. &lt;br&gt;
Methods: To induce systemic inflammation, the mice were treated with lipopolysaccharide (LPS), a bacterial endotoxin. Prior to LPS treatment, the mice were administered chotosan or Uncaria hook orally each day for 14 days. Anxiety-like behavior of the mice was evaluated using the light-dark test 24 h after LPS treatment.&lt;br&gt;
Results: Repeated administration of chotosan prevented anxiety-like behavior in both normal and LPS-treated mice. Similarly, administration of Uncaria hook suppressed LPS-induced anxiety-like behavior in mice. Furthermore, treatment with tandospirone, a 5-HT1A receptor agonist, alleviated anxiety-like behavior in mice, whereas treatment with DOI, a 5-HT2A receptor agonist, enhanced anxiety-like behavior in mice. LPS treatment significantly increased serotonin (5-HT)(2A) receptor mRNA expression in the frontal cortex, whereas 5-HT1A receptor mRNA expression remained unchanged in the hippocampus. Notably, chotosan significantly suppressed the mRNA expression of 5-HT2A receptor. &lt;br&gt;
Discussion: These findings indicate that chotosan exerts anxiolytic-like effects in the context of inflammation-induced anxiety, potentially mediated by the inhibition of 5-HT2A receptor hyperfunction in LPS-treated mice. Consequently, we postulate that chotosan may be effective in managing inflammation-induced anxiety-like behaviors.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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        <Param Name="value">anxiolytic</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">chotosan</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">inflammation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">serotonin receptor</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Uncaria hook</Param>
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    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>136</Volume>
      <Issue>2</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>mRNA ワクチン</ArticleTitle>
    <FirstPage LZero="delete">83</FirstPage>
    <LastPage>84</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yuta</FirstName>
        <LastName>Tanaka</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Okayama University Medical School</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0386-300X</Issn>
      <Volume>78</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Effect of Lipopolysaccharide on the Duration of Zolpidem-Induced Loss of Righting Reflex in Mice</ArticleTitle>
    <FirstPage LZero="delete">227</FirstPage>
    <LastPage>235</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yudai</FirstName>
        <LastName>Wada</LastName>
        <Affiliation>Department of Clinical Pharmacy, Okayama University, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Soichiro</FirstName>
        <LastName>Ushio</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshihisa</FirstName>
        <LastName>Kitamura</LastName>
        <Affiliation>Department of Clinical Pharmacy, Okayama University, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Clinical Pharmacy, Okayama University, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshiaki</FirstName>
        <LastName>Sendo</LastName>
        <Affiliation>Department of Clinical Pharmacy, Okayama University, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Original Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.18926/AMO/67197</ArticleId>
    </ArticleIdList>
    <Abstract>Zolpidem, a non-benzodiazepine hypnotic, is primarily used to treat insomnia. In a previous study, pior treatment with non-benzodiazepine receptor agonists was associated with inflammation. The present study aimed to clarify the association between the effects of zolpidem and inflammation in mice treated with lipopolysaccharide (LPS), a known model of inflammation. We assessed the zolpidem-induced loss of righting reflex (LORR) duration 24 h after LPS treatment in mice. Additionally, the expressions of γ-aminobutyric acid (GABA)A receptor subunit and K+-Cl− cotransporter isoform 2 (KCC2) mRNA in the hippocampus and frontal cortex were examined in LPS-treated mice. Pretreatment with LPS was associated with significantly prolonged duration of zolpidem-induced LORR compared to control mice. This effect was significantly attenuated by administering bicuculline, a GABAA receptor antagonist, or flumazenil, a benzodiazepine receptor antagonist, in LPS-treated mice. Compared to controls, LPS-treated mice showed no significant change in the expression of GABAA receptor subunits in the hippocampus or frontal cortex. Bumetanide, an Na+-K+-2Cl− cotransporter isoform 1 blocker, attenuated the extended duration of zolpidem-induced LORR observed in LPS-treated mice. LPS significantly decreased Kcc2 mRNA expression in the hippocampus and the frontal cortex. These findings suggest that inflammation increases zolpidem-induced LORR, possibly through a reduction in KCC2 expression.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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      <Object Type="keyword">
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        <Param Name="value">GABAA receptor</Param>
      </Object>
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        <Param Name="value">K+-Cl− cotransporters</Param>
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  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>136</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>薬物相互作用（59―肺癌希少フラクションの分子標的治療薬）</ArticleTitle>
    <FirstPage LZero="delete">29</FirstPage>
    <LastPage>32</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Hiroto</FirstName>
        <LastName>Okuda</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Satoshi</FirstName>
        <LastName>Kuroda</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Frontiers Media</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2234-943X</Issn>
      <Volume>14</Volume>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Lysyl oxidase-like 4 promotes the invasiveness of triple-negative breast cancer cells by orchestrating the invasive machinery formed by annexin A2 and S100A11 on the cell surface</ArticleTitle>
    <FirstPage LZero="delete">1371342</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Tetta</FirstName>
        <LastName>Takahashi</LastName>
        <Affiliation>Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Nahoko</FirstName>
        <LastName>Tomonobu</LastName>
        <Affiliation>Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Rie</FirstName>
        <LastName>Kinoshita</LastName>
        <Affiliation>Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ken-Ichi</FirstName>
        <LastName>Yamamoto</LastName>
        <Affiliation>Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hitoshi</FirstName>
        <LastName>Murata</LastName>
        <Affiliation>Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ni Luh Gede Yoni</FirstName>
        <LastName>Komalasari</LastName>
        <Affiliation>Faculty of Medicine, Udayana University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Youyi</FirstName>
        <LastName>Chen</LastName>
        <Affiliation>Department of Breast Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Fan</FirstName>
        <LastName>Jiang</LastName>
        <Affiliation>Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yuma</FirstName>
        <LastName>Gohara</LastName>
        <Affiliation>Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshiki</FirstName>
        <LastName>Ochi</LastName>
        <Affiliation>Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">I. Made Winarsa</FirstName>
        <LastName>Ruma</LastName>
        <Affiliation>Faculty of Medicine, Udayana University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">I. Wayan</FirstName>
        <LastName>Sumardika</LastName>
        <Affiliation>Faculty of Medicine, Udayana University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jin</FirstName>
        <LastName>Zhou</LastName>
        <Affiliation>Medical Oncology Department of Gastrointestinal Tumors, Liaoning Cancer Hospital &amp; Institute, Cancer Hospital of the Dalian University of Technology</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tomoko</FirstName>
        <LastName>Honjo</LastName>
        <Affiliation>Department of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshihiko</FirstName>
        <LastName>Sakaguchi</LastName>
        <Affiliation>Department of Microbiology, Tokushima Bunri University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Akira</FirstName>
        <LastName>Yamauchi</LastName>
        <Affiliation>Department of Biochemistry, Kawasaki Medical School</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Futoshi</FirstName>
        <LastName>Kuribayashi</LastName>
        <Affiliation>Department of Biochemistry, Kawasaki Medical School</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Eisaku</FirstName>
        <LastName>Kondo</LastName>
        <Affiliation>Division of Tumor Pathology, Near InfraRed Photo-Immuno-Therapy Research Institute, Kansai Medical University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yusuke</FirstName>
        <LastName>Inoue</LastName>
        <Affiliation>Faculty of Science and Technology, Division of Molecular Science, Gunma University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Junichiro</FirstName>
        <LastName>Futami</LastName>
        <Affiliation>Department of Interdisciplinary Science and Engineering in Health Systems, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shinichi</FirstName>
        <LastName>Toyooka</LastName>
        <Affiliation>Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Masakiyo</FirstName>
        <LastName>Sakaguchi</LastName>
        <Affiliation>Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background: Our earlier research revealed that the secreted lysyl oxidase-like 4 (LOXL4) that is highly elevated in triple-negative breast cancer (TNBC) acts as a catalyst to lock annexin A2 on the cell membrane surface, which accelerates invasive outgrowth of the cancer through the binding of integrin-β1 on the cell surface. However, whether this machinery is subject to the LOXL4-mediated intrusive regulation remains uncertain.&lt;br&gt;
&lt;br&gt;
Methods: Cell invasion was assessed using a transwell-based assay, protein&#8211;protein interactions by an immunoprecipitation&#8211;Western blotting technique and immunocytochemistry, and plasmin activity in the cell membrane by gelatin zymography.&lt;br&gt;
&lt;br&gt;
Results: We revealed that cell surface annexin A2 acts as a receptor of plasminogen via interaction with S100A10, a key cell surface annexin A2-binding factor, and S100A11. We found that the cell surface annexin A2/S100A11 complex leads to mature active plasmin from bound plasminogen, which actively stimulates gelatin digestion, followed by increased invasion.&lt;br&gt;
&lt;br&gt;
Conclusion: We have refined our understanding of the role of LOXL4 in TNBC cell invasion: namely, LOXL4 mediates the upregulation of annexin A2 at the cell surface, the upregulated annexin 2 binds S100A11 and S100A10, and the resulting annexin A2/S100A11 complex acts as a receptor of plasminogen, readily converting it into active-form plasmin and thereby enhancing invasion.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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      </Object>
      <Object Type="keyword">
        <Param Name="value">lysyl oxidase</Param>
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        <Param Name="value">annexin A2</Param>
      </Object>
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        <Param Name="value">S100A11</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">plasmin</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">cancer microenvironment</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Springer Science and Business Media LLC</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>2210-7703</Issn>
      <Volume>46</Volume>
      <Issue>2</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2024</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>A comparison between the adverse event profiles of patients receiving palbociclib and abemaciclib: analysis of two real-world databases</ArticleTitle>
    <FirstPage LZero="delete">536</FirstPage>
    <LastPage>541</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Tatsuaki</FirstName>
        <LastName>Takeda</LastName>
        <Affiliation>Department of Education and Research Center for Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shiho</FirstName>
        <LastName>Sugimoto</LastName>
        <Affiliation>Department of Personalized Medicine and Preventive Healthcare Sciences, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Jun</FirstName>
        <LastName>Matsumoto</LastName>
        <Affiliation>Department of Education and Research Center for Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Naohiro</FirstName>
        <LastName>Iwata</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Akihiko</FirstName>
        <LastName>Nakamoto</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Aya Fukuma</FirstName>
        <LastName>Ozaki</LastName>
        <Affiliation>Department of Clinical Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University of California</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Noritaka</FirstName>
        <LastName>Ariyoshi</LastName>
        <Affiliation>Department of Education and Research Center for Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background Palbociclib and abemaciclib are cyclin-dependent kinase (CDK) 4/6 inhibitors currently used to treat breast cancer. Although their therapeutic efficacies are considered comparable, differences in adverse event (AE) profiles of the two drugs remain unclear.&lt;br&gt;
Aim We analysed two real-world databases, the World Health Organization’s VigiBase and the Food and Drug Administration Adverse Event Reporting System (FAERS), to identify differences in AE profiles of palbociclib and abemaciclib.&lt;br&gt;
Method Data of patients with breast cancer receiving palbociclib or abemaciclib recorded until December 2022 were extracted from the VigiBase and FAERS databases. In total, 200 types of AEs were analysed. The reporting odds ratios were calculated using a disproportionality analysis.&lt;br&gt;
Results Cytopenia was frequently reported in patients receiving palbociclib, whereas interstitial lung disease and diarrhoea were frequently reported in those receiving abemaciclib. Moreover, psychiatric and nervous system disorders were more common in the palbociclib group, whereas renal and urinary disorders were more common in the abemaciclib group.&lt;br&gt;
Conclusion This study is the first to show comprehensively the disparities in the AE profiles of palbociclib and abemaciclib. The findings highlight the importance of considering these differences when selecting a suitable CDK4/6 inhibitor to ensure safe and favourable outcomes for patients with breast cancer.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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        <Param Name="value">Adverse event</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Breast cancer</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Cyclin-dependent kinase 4/6 inhibitor</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Palbociclib</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Springer Science and Business Media LLC</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0114-5916</Issn>
      <Volume>47</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2023</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>International Trends in Adverse Drug Event-Related Mortality from 2001 to 2019: An Analysis of the World Health Organization Mortality Database from 54 Countries</ArticleTitle>
    <FirstPage LZero="delete">237</FirstPage>
    <LastPage>249</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shunya</FirstName>
        <LastName>Iinuma</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Michio</FirstName>
        <LastName>Yamamoto</LastName>
        <Affiliation>Graduate School of Human Sciences, Osaka University, Osaka, Japan RIKEN Center for Advanced Intelligence Project,</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takahiro</FirstName>
        <LastName>Niimura</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Institute of Biomedical Sciences, Tokushima University Graduate School</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yuka</FirstName>
        <LastName>Osaki</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Sayoko</FirstName>
        <LastName>Nishimura</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ko</FirstName>
        <LastName>Harada</LastName>
        <Affiliation>Department of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Beth Israel</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hideharu</FirstName>
        <LastName>Hagiya</LastName>
        <Affiliation>Department of Infectious Diseases, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Background and Objective&lt;br&gt;
Adverse drug events (ADEs) are becoming a significant public health issue. However, reports on ADE-related mortality are limited to national-level evaluations. Therefore, we aimed to reveal overall trends in ADE-related mortality across the 21st century on an international level.&lt;br&gt;
Methods&lt;br&gt;
This observational study analysed long-term trends in ADE-related mortality rates from 2001 to 2019 using the World Health Organization Mortality Database. The rates were analysed according to sex, age and region. North America, Latin America and the Caribbean, Western Europe, Eastern Europe and Western Pacific regions were assessed. Fifty-four countries were included with four-character International Statistical Classification of Disease and Related Health Problems, Tenth Revision codes in the database, population data in the World Population Prospects 2019 report, mortality data in more than half of the study period, and high-quality or medium-quality death registration data. A locally weighted regression curve was used to show international trends in age-standardised rates.&lt;br&gt;
Results&lt;br&gt;
The global ADE-related mortality rate per 100,000 population increased from 2.05 (95% confidence interval 0.92&#8211;3.18) in 2001 to 6.86 (95% confidence interval 5.76&#8211;7.95) in 2019. Mortality rates were higher among men than among women, especially in those aged 20&#8211;50 years. The population aged &#8805;&#8201;75 years had higher ADE-related mortality rates than the younger population. North America had the highest mortality rate among the five regions. The global ADE-related mortality rate increased by approximately 3.3-fold from 2001 to 2019.&lt;br&gt;
Conclusions&lt;br&gt;
The burden of ADEs has increased internationally with rising mortality rates. Establishing pharmacovigilance systems can facilitate efforts to reduce ADE-related mortality rates globally.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>135</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2023</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>薬物相互作用（58―タクロリムスの薬物相互作用）</ArticleTitle>
    <FirstPage LZero="delete">167</FirstPage>
    <LastPage>171</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Ikuya</FirstName>
        <LastName>Kimura</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Makoto</FirstName>
        <LastName>Kajizono</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Okayama University Medical School</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0386-300X</Issn>
      <Volume>77</Volume>
      <Issue>6</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2023</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Concomitant Use of Multiple Nephrotoxins including Renal Hypoperfusion Medications Causes Vancomycin-Associated Nephrotoxicity: Combined Retrospective Analyses of Two Real-World Databases</ArticleTitle>
    <FirstPage LZero="delete">595</FirstPage>
    <LastPage>605</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Takashi</FirstName>
        <LastName>Bando</LastName>
        <Affiliation>Department of Pharmacy, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Masayuki</FirstName>
        <LastName>Chuma</LastName>
        <Affiliation>Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Takahiro</FirstName>
        <LastName>Niimura</LastName>
        <Affiliation>Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Naoto</FirstName>
        <LastName>Okada</LastName>
        <Affiliation>Department of Pharmacy, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Masateru</FirstName>
        <LastName>Kondo</LastName>
        <Affiliation>Department of Pharmacy, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yuki</FirstName>
        <LastName>Izumi</LastName>
        <Affiliation>Department of Pharmacy, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shunsuke</FirstName>
        <LastName>Ishida</LastName>
        <Affiliation>Department of Pharmacy, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiko</FirstName>
        <LastName>Yoshioka</LastName>
        <Affiliation>Department of Pharmacy, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mizuho</FirstName>
        <LastName>Asada</LastName>
        <Affiliation>Department of Medical Molecular Informatics, Meiji Pharmaceutical University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kenshi</FirstName>
        <LastName>Takechi</LastName>
        <Affiliation>Department of Drug Information Analysis, College of Pharmaceutical Sciences, Matsuyama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mitsuhiro</FirstName>
        <LastName>Goda</LastName>
        <Affiliation>Department of Pharmacy, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Koji</FirstName>
        <LastName>Miyata</LastName>
        <Affiliation>Department of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kenta</FirstName>
        <LastName>Yagi</LastName>
        <Affiliation>Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yuki</FirstName>
        <LastName>Izawa-Ishizawa</LastName>
        <Affiliation>Department of Pharmacology, Tokushima University Graduate School of Biomedical Sciences</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Momoyo</FirstName>
        <LastName>Azuma</LastName>
        <Affiliation>Department of Infection Control and Prevention, Tokushima University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiroaki</FirstName>
        <LastName>Yanagawa</LastName>
        <Affiliation>Department of Nursing, Faculty of Health and Welfare, Tokushima Bunri University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshikazu</FirstName>
        <LastName>Tasaki</LastName>
        <Affiliation>Department of Hospital Pharmacy and Pharmacology, Asahikawa Medical University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Keisuke</FirstName>
        <LastName>Ishizawa</LastName>
        <Affiliation>Department of Pharmacy, Tokushima University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType>Original Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.18926/AMO/66151</ArticleId>
    </ArticleIdList>
    <Abstract>There is a growing concern about the relationship between vancomycin-associated nephrotoxicity (VAN) and concomitant use of nephrotoxins. We examined this relationship by combined retrospective analyses of two real-world databases. Initially, the FDA Adverse Event Reporting System (FAERS) was analyzed for the effects of concomitant use of one or more nephrotoxins on VAN and the types of combinations of nephrotoxins that exacerbate VAN. Next, electronic medical records (EMRs) of patients who received vancomycin (VCM) at Tokushima University Hospital between January 2006 and March 2019 were examined to confirm the FAERS analysis. An elevated reporting odds ratio (ROR) was observed with increases in the number of nephrotoxins administered (VCM + one nephrotoxin, adjusted ROR (95% confidence interval [CI]) 1.67 [1.51-1.85]; VCM + &#8805;2 nephrotoxins, adjusted ROR [95% CI] 1.54 [1.37-1.73]) in FAERS. EMRs analysis showed that the number of nephrotoxins was associated with higher incidences of VAN [odds ratio: 1.99; 95% CI: 1.42-2.78]. Overall, concomitant use of nephrotoxins was associated with an increased incidence of VAN, especially when at least one of those nephrotoxins was a renal hypoperfusion medication (furosemide, non-steroidal anti-inflammatory drugs, and vasopressors). The concomitant use of multiple nephrotoxins, especially including renal hypoperfusion medication, should be avoided to prevent VAN.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">vancomycin-associated nephrotoxicity</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">polypharmacy</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">nephrotoxin</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">spontaneous adverse event reporting database</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">electronic medical records</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>135</Volume>
      <Issue>2</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2023</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>薬物相互作用（57―腎不全の薬物相互作用）</ArticleTitle>
    <FirstPage LZero="delete">89</FirstPage>
    <LastPage>91</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Makoto</FirstName>
        <LastName>Kajizono</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shigeki</FirstName>
        <LastName>Nishihara</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kiminaka</FirstName>
        <LastName>Murakawa</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>135</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2023</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>薬物相互作用（56―抗不整脈薬の薬物相互作用）</ArticleTitle>
    <FirstPage LZero="delete">39</FirstPage>
    <LastPage>42</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Takuya</FirstName>
        <LastName>Murao</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Satoru</FirstName>
        <LastName>Esumi</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hirofumi</FirstName>
        <LastName>Hamano</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kiminaka</FirstName>
        <LastName>Murakawa</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>134</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>薬物相互作用（55―妊婦において注意が必要な薬物相互作用の例）</ArticleTitle>
    <FirstPage LZero="delete">185</FirstPage>
    <LastPage>186</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Shoya</FirstName>
        <LastName>Shiromizu</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Satoru</FirstName>
        <LastName>Esumi</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>134</Volume>
      <Issue>2</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>薬物相互作用（54―抗がん剤の吸収，排泄過程における薬物相互作用）</ArticleTitle>
    <FirstPage LZero="delete">102</FirstPage>
    <LastPage>107</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Minato</FirstName>
        <LastName>Danzako</LastName>
        <Affiliation>Department of pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Satoru</FirstName>
        <LastName>Esumi</LastName>
        <Affiliation>Department of pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>岡山医学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0030-1558</Issn>
      <Volume>134</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>薬物相互作用（53―がん領域に用いる漢方薬の相互作用）</ArticleTitle>
    <FirstPage LZero="delete">43</FirstPage>
    <LastPage>47</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Naohiro</FirstName>
        <LastName>Iwata</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Satoru</FirstName>
        <LastName>Esumi</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Springer Science and Business Media LLC</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0300-8177</Issn>
      <Volume>478</Volume>
      <Issue>8</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Significance of UGT1A6, UGT1A9, and UGT2B7 genetic variants and their mRNA expression in the clinical outcome of renal cell carcinoma</ArticleTitle>
    <FirstPage LZero="delete">1779</FirstPage>
    <LastPage>1790</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Jun</FirstName>
        <LastName>Matsumoto</LastName>
        <Affiliation>Department of Personalized Medicine and Preventive Healthcare Sciences, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Anzu</FirstName>
        <LastName>Nishimoto</LastName>
        <Affiliation>Department of Personalized Medicine and Preventive Healthcare Sciences, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shogo</FirstName>
        <LastName>Watari</LastName>
        <Affiliation>Department of Urology, National Hospital Organization Okayama Medical Center</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hideo</FirstName>
        <LastName>Ueki</LastName>
        <Affiliation>Department of Urology, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shoya</FirstName>
        <LastName>Shiromizu</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Naohiro</FirstName>
        <LastName>Iwata</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tatsuaki</FirstName>
        <LastName>Takeda</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Soichiro</FirstName>
        <LastName>Ushio</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Makoto</FirstName>
        <LastName>Kajizono</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Masachika</FirstName>
        <LastName>Fujiyoshi</LastName>
        <Affiliation>Department of Pharmacy, Tottori University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation>Department of Pharmaceuticals Biomedicine, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Motoo</FirstName>
        <LastName>Araki</LastName>
        <Affiliation>Department of Urology, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Koichiro</FirstName>
        <LastName>Wada</LastName>
        <Affiliation>Department of Urology, Faculty of Medicine, Shimane University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yasutomo</FirstName>
        <LastName>Nasu</LastName>
        <Affiliation>Department of Urology, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Noritaka</FirstName>
        <LastName>Ariyoshi</LastName>
        <Affiliation>Department of Personalized Medicine and Preventive Healthcare Sciences, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>UDP-glucuronosyltransferase (UGT) metabolizes a number of endogenous and exogenous substrates. Renal cells express high amounts of UGT; however, the significance of UGT in patients with renal cell carcinoma (RCC) remains unknown. In this study, we profile the mRNA expression of UGT subtypes (UGT1A6, UGT1A9, and UGT2B7) and their genetic variants in the kidney tissue of 125 Japanese patients with RCC (Okayama University Hospital, Japan). In addition, we elucidate the association between the UGT variants and UGT mRNA expression levels and clinical outcomes in these patients. The three representative genetic variants, namely, UGT1A6 541A &gt; G, UGT1A9 i399C &gt; T, and UGT2B7-161C &gt; T, were genotyped, and their mRNA expression levels in each tissue were determined. We found that the mRNA expression of the three UGTs (UGT1A6, UGT1A9, and UGT2B7) are significantly downregulated in RCC tissues. Moreover, in patients with RCC, the UGT2B7-161C &gt; T variant and high UGT2B7 mRNA expression are significantly correlated with preferable cancer-specific survival (CSS) and overall survival (OS), respectively. As such, the UGT2B7-161C &gt; T variant and UGT2B7 mRNA expression level were identified as significant independent prognostic factors of CSS and CSS/OS, respectively. Taken together, these findings indicate that UGT2B7 has a role in RCC progression and may, therefore, represent a potential prognostic biomarker for patients with RCC.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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      </Object>
      <Object Type="keyword">
        <Param Name="value">Polymorphism</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Renal cell carcinoma</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Survival</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">UDP-glucuronosyltransferase</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>MDPI</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1010-660X</Issn>
      <Volume>58</Volume>
      <Issue>10</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Polypharmacy in Older Adults with Alzheimer's Disease</ArticleTitle>
    <FirstPage LZero="delete">1445</FirstPage>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Satoru</FirstName>
        <LastName>Esumi</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Soichiro</FirstName>
        <LastName>Ushio</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>The number of patients with Alzheimer's disease is increasing annually. Most of these patients are older adults with comorbid physical illnesses, which means that they are often treated with a combination of medications for the disease they have and those for Alzheimer's disease. Thus, older adults with Alzheimer's disease are potentially at risk for polypharmacy. In addition, the drug interactions between Alzheimer's disease medications and those for the treatment of physical illnesses may reduce their efficacy and increase side effects. This article reviews polypharmacy and drug interactions in elderly patients with Alzheimer's disease, with a focus on psychotropic drugs.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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        <Param Name="value">Alzheimer's disease</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">polypharmacy</Param>
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      <Object Type="keyword">
        <Param Name="value">drug interactions</Param>
      </Object>
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    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>Wiley</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1444-1586</Issn>
      <Volume>22</Volume>
      <Issue>8</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Trends in places and causes of death among centenarians in Japan from 2006 to 2016</ArticleTitle>
    <FirstPage LZero="delete">675</FirstPage>
    <LastPage>680</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation>Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tsukasa</FirstName>
        <LastName>Higashionna</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Akinori</FirstName>
        <LastName>Maruo</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Soichiro</FirstName>
        <LastName>Ushio</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation>Department of Pharmacy, Okayama University Hospital</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Ko</FirstName>
        <LastName>Harada</LastName>
        <Affiliation>Department of Medicine, Icahn School of Medicine at Mount Sinai</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hideharu</FirstName>
        <LastName>Hagiya</LastName>
        <Affiliation>Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
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    </ArticleIdList>
    <Abstract>Aim&lt;br&gt;
Amid the global aging, an establishment of healthcare policies for the aged population is a common issue to be addressed. However, few studies on centenarians have reported place and cause of death (PoD and CoD, respectively) as indicators of end-of-life care quality. This study aimed to analyze trends in PoD and CoD among centenarians in Japan.&lt;br&gt;
&lt;br&gt;
Methods&lt;br&gt;
Data from death certificates from Japanese vital statistics were analyzed; 205&#8201;513 deaths occurred among centenarians (aged &#8805;100&#8201;years) in Japan during the period from 2006 to 2016. PoD prevalence was calculated for each CoD. Trends in PoD prevalence were analyzed using the Joinpoint regression model. Changing points, annual percentage changes, and average annual percentage changes (AAPCs) were calculated to examine trends.&lt;br&gt;
&lt;br&gt;
Results&lt;br&gt;
The number of deaths more than doubled from 10&#8201;340 in 2006 to 26&#8201;427 in 2016. PoDs were composed of hospitals (52.7%), nursing homes (31.4%), own homes (13.6%) and others (2.2%). Dementia and old age increased rapidly as CoD. Proportions of hospital and home deaths decreased, with AAPCs of −2.3% (95% confidence interval [CI], −2.6 to −1.9) and −2.3% (95% CI, −3.2 to −1.4), respectively. Conversely, the proportion of deaths in nursing homes rapidly increased, with an AAPC of 6.8% (95% CI, 6.0&#8211;7.7).&lt;br&gt;
&lt;br&gt;
Conclusions&lt;br&gt;
The results revealed changes in PoD among centenarians in Japan. Understanding these transitions is indispensable for health policy in aging societies.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
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        <Param Name="value">aging</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">centenarians</Param>
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      <Object Type="keyword">
        <Param Name="value">death</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">nursing home</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">trend</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>日本静脈経腸栄養学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1344-4980</Issn>
      <Volume>29</Volume>
      <Issue>4</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2014</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>粉砕法による経管投与における薬剤量損失に対する簡易懸濁法の有用性についての検討</ArticleTitle>
    <FirstPage LZero="delete">1027</FirstPage>
    <LastPage>1033</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tetsuya</FirstName>
        <LastName>Aiba</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Manabu</FirstName>
        <LastName>Amano</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Tetsuaki</FirstName>
        <LastName>Ando</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Naomi</FirstName>
        <LastName>Kurata</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hideki</FirstName>
        <LastName>Nawa</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hironori</FirstName>
        <LastName>Nakura</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yoshihisa</FirstName>
        <LastName>Kitamura</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshiaki</FirstName>
        <LastName>Sendo</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>【目的】従来の薬剤経管投与法である粉砕法は薬効の減少につながる薬剤量の損失が指摘されている。そこで粉砕法による薬剤量損失に対する簡易懸濁法の有用性について検討した。
【方法】頻繁に粉砕指示がなされる5種類の薬剤を用いて粉砕・分包による薬物含量減少、薬剤調製時の懸濁性および実際の経管投与を想定した薬物含量について2つの方法を比較した。
【結果】薬剤を粉砕・分包するとそれぞれの薬物含量は減少した。またワーファリン&#174;錠を粉砕して水に溶解すると完全には懸濁せず、小さな塊が生じたが、簡易懸濁法では均一に懸濁した。ワーファリン&#174;錠の経管投与を想定した実験において粉砕法では薬物含量が大幅に減少したが、簡易懸濁法では、ほとんど損失が認められなかった。【結論】簡易懸濁法は粉砕法に比べて薬剤損失の面で有用性が高いことが示唆され、ワーファリン&#174;錠のように安定性が悪い薬剤では特に適正な薬物投与に貢献出来ると考えられる。</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">簡易懸濁法 (simple suspension method)</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">経管投与 (tube administration)</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">薬剤量の損失 (loss of drug amount)</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>日本薬学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>09186158</Issn>
      <Volume>31</Volume>
      <Issue>11</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2008</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Royal jelly ameliorates insulin resistance in fructose-drinking rats</ArticleTitle>
    <FirstPage LZero="delete">2103</FirstPage>
    <LastPage>2107</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shingo</FirstName>
        <LastName>Takatori</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mitsuhiro</FirstName>
        <LastName>Goda</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yukiko</FirstName>
        <LastName>Iwatani</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Xin</FirstName>
        <LastName>Jin</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shima</FirstName>
        <LastName>Takada-Doi</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiromu</FirstName>
        <LastName>Kawasaki</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Royal jelly (RJ) is known to contain excellent nutrition and a variety of biological activities. The present study was designed to investigate the effects of RJ on insulin resistance (hyperinsulinemia) in fructose-drinking rats (FDR; insulin resistance animal model). Male Wistar rats (6 weeks old) received 15% fructose solution in drinking water for 8 weeks. FDR showed significant increases in plasma levels of insulin and triglyceride, Homeostasis Model Assessment ratio (HOMA-R, an index of insulin resistance), and systolic blood pressure, but not blood glucose levels, when compared with control rats. RJ (100, 300mg/kg, p.o.) treatment for 8 weeks significantly decreased the plasma levels of insulin and triglyceride, HOMA-R, without affecting blood glucose or total cholesterol levels and tended to lower systolic blood pressure. In isolated and perfused mesenteric vascular beds of FDR, RJ treatment resulted in a significant reduction in sympathetic nerve-mediated vasoconstrictor response to periarterial nerve stimulation (PNS) and tended to increase the calcitonin gene-related peptide (CGRP) nervemediated vasodilator response to PNS, compared with those in untreated FDR. However, RJ treatment did not significantly affect norepinephrine-induced vasoconstriction or CGRP-induced vasodilation. These results suggest that RJ could be an effective functional food to prevent insulin resistance associated with the development of hypertension.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">royal jelly</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">fructose-drinking rat</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">insulin resistance</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">periarterial nerve function</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>日本薬学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>00316903</Issn>
      <Volume>127</Volume>
      <Issue>12</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2007</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>フルクトース負荷インスリン抵抗性モデル(ラット)におけるPropolisによるインスリン抵抗性改善作用</ArticleTitle>
    <FirstPage LZero="delete">2065</FirstPage>
    <LastPage>2073</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shingo</FirstName>
        <LastName>Takatori</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Toshihiro</FirstName>
        <LastName>Koayama</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mitsuhiro</FirstName>
        <LastName>Goda</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yukiko</FirstName>
        <LastName>Iwatani</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shima</FirstName>
        <LastName>Doi</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiromu</FirstName>
        <LastName>Kawasaki</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Propolis, a honeybee product, contains a variety of biologically active substances. The present study was designed to investigate the effects of propolis on insulin resistance induced by fructose-drinking rats (FDR; type 2 diabetic animal model). Male Wistar rats (6 weeks old) received 15% fructose solution in drinking water for 8 weeks. FDR showed significant increases in plasma levels of insulin, Homeostasis Model Assessment ratio (HOMA-R, an index of insulin resistance), body weight, and systolic blood pressure but not blood glucose levels, when compared with control rats. Brazilian propolis extract (100 and 300mg/kg, p. o.) treatment for 8 weeks significantly decreased the plasma level of insulin, HOMA-R, and body weight, increased plasma triglyceride levels without affecting blood glucose and total cholesterol levels, and tended to decrease systolic blood pressure. In isolated and perfused mesenteric vascular beds of FDR, propolis treatment resulted in a significant reduction of sympathetic nerve-mediated vasoconstrictor response to periarterial nerve stimulation (PNS; 8Hz) and tended to increase the calcitonin gene-related peptide (CGRP) nerve-mediated vasodilator response to PNS, compared with those in untreated FDR. However, propolis treatment did not significantly affect norepinephrine-induced vasoconstriction and CGRP-induced vasodilation. These results suggest that propolis could be an effective functional food to prevent the development of insulin resistance.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">propolis</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">fructose-drinking rat</Param>
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      <Object Type="keyword">
        <Param Name="value">insulin resistance</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">periarterial nerve function</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>日本薬学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>00316903</Issn>
      <Volume>128</Volume>
      <Issue>3</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2008</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>食後高血糖が血管反応性に及ぼす影響</ArticleTitle>
    <FirstPage LZero="delete">419</FirstPage>
    <LastPage>424</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Shingo</FirstName>
        <LastName>Takatori</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Yukiko</FirstName>
        <LastName>Iwatani</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kosuke</FirstName>
        <LastName>Yamawaki</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Satoko</FirstName>
        <LastName>Miyashita</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Nana</FirstName>
        <LastName>Yabumae</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Fusako</FirstName>
        <LastName>Takayama</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mitsunobu</FirstName>
        <LastName>Mio</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiromu</FirstName>
        <LastName>Kawasaki</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Recent clinical studies demonstrated that transient postprandial hyperglycemia and hyperinsulinemia may contribute to the development of hypertension. Therefore, we investigated influence of acute hyperglycemia and/or hyperinsulinemia induced by glucose or insulin infusion on neuronal and humoral control of vascular tone in rats. Euglycemic male Wistar rats were pithed under anesthesia and arterial blood pressure was measured. Changes in vascular responses to spinal cord stimulation (SCS) and intravenous bolus injections of noradrenaline, angiotensin II, calcitonin generelated peptide (CGRP), acetylcholine and sodium nitroprusside (SNP) were studied by infusing various concentration of glucose or insulin. Continuous glucose infusion, which increased both blood glucose and serum insulin levels, significantly augmented adrenergic nerve-mediated pressor responses to SCS without affecting injection of pressor responses to noradrenaline or angiotensin II. In pithed rats with artificially increased blood pressure and blockade of autonomic outflow, glucose infusion attenuated CGRPergic nerve-depressor responses to SCS without affecting depressor responses to injection of CGRP, acetylcholine or SNP. In pithed rats treated with octreotide, which increased blood glucose without increasing serum insulin levels, glucose infusion caused only significant augmentation of adrenergic nervemediated pressor responses. Combined infusion of insulin and glucose, which resulted in increased serum insulin levels with euglycemic, significantly augmented adrenergic nerve-mediated pressor responses and attenuated CGRPergic nerve-mediated depressor responses. The present results suggest that acute hyperglycemia and hyperinsulinemia increases adrenergic nerve-mediated vasoconstriction, which is partly associated with the blunted CGRPergic nerve function, and that plasma insulin concentration associated with hyperglycemia may be responsible for alteration of neuronal vascular regulation.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">hyperglycemia</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">hyperinsulinemia</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Calcitonin gene-related peptide nerve</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName>日本薬学会</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>0031-6903</Issn>
      <Volume>130</Volume>
      <Issue>6</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2010</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Propolis 長期投与による Otsuka Long-Evans Tokushima Fatty (OLETF) ラットの インスリン抵抗性改善作用</ArticleTitle>
    <FirstPage LZero="delete">833</FirstPage>
    <LastPage>840</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiroki</FirstName>
        <LastName>Fujiwara</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Miho</FirstName>
        <LastName>Hosoda</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hayato</FirstName>
        <LastName>Hino</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kazuhiro</FirstName>
        <LastName>Hirai</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kazuaki</FirstName>
        <LastName>Okamoto</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N"/>
        <LastName/>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N"/>
        <LastName/>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N"/>
        <LastName/>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Hiromu</FirstName>
        <LastName>Kawasaki</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>Propolis is known to have abundant bioactive constituents and a variety of biological activities. To investigate the effect of Brazilian propolis on insulin resistance, 10-week-old Otsuka Long-Evans Tokushima Fatty (OLETF) rats, a non-insulin-dependent type 2 diabetic model, were treated for 4 weeks with propolis (100 and 300 mg/kg, p.o.) or vehicle (control). Propolis treatment significantly decreased the plasma levels of insulin and insulin resistance index (Homeostasis Model Assessment-Insulin Resistance; HOM-IR), without affecting blood glucose levels and tended to lower systolic blood pressure compared with the control. In isolated and perfused mesenteric vascular beds of OLETF rats, propolis treatment resulted in significant reduction of sympathetic nerve-mediated vasoconstrictor response to periarterial nerve stimulation (PNS) and tended to increase calcitonin gene-related peptide (CGRP) nerve-mediated vasodilator response to PNS compared with in vehicle-treated OLETF rats. However, propolis treatment did not significantly affect the vasoconstrictor and vasodilator response to noradrenaline, CGRP, acetylcholine, and sodium nitroprusside. These results suggest that propolis could be an effective and functional food to prevent development of insulin resistance.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">propolis</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">insulin resistance</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Otsuka Long-Evans Tokushima Fatty rat</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">periarterial nerve function</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">mesenteric vascular bed</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName/>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn/>
      <Volume/>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2008</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>神経性血圧調節に及ぼす高血糖および高インスリンの影響に関する循環薬理学的研究</ArticleTitle>
    <FirstPage LZero="delete"/>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Yoshito</FirstName>
        <LastName>Zamami</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract/>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
</ArticleSet>
