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Suyama, Atsuhito Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Otsuka, Yuki Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Nakano, Yasuhiro Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Tokumasu, Kazuki Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences ORCID publons researchmap
Sakurada, Yasue Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Matsuda, Yui Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Honda, Hiroyuki Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Soejima, Yoshiaki Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Hasegawa, Toru Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Takase, Ryosuke Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Omura, Daisuke Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Oguni, Kohei Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Ueda, Keigo Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
Otsuka, Fumio Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences ORCID Kaken ID publons researchmap
Abstract
Background: Although several risk factors have been reported for long COVID (LC), reliable biomarkers for this illness remain lacking. Insulin-like growth factor (IGF)-I, a major mediator of growth hormones, plays an important role in metabolism, neuroprotection, and systemic homeostasis, and therefore may be useful in predicting the severity and prognosis of LC. Methods: This study included patients who visited a specialized clinic for long COVID between 2022 and 2025 during the Omicron period and had serum IGF-I measurements taken. IGF-I levels were expressed as age- and sex-adjusted standard deviation scores (IGF-I SD), and patients were classified into low (SD < −1.0), normal (−1.0 ≤ SD < 1.0), and high (SD ≥ 1.0) groups. Clinical characteristics, patient-reported outcomes, laboratory data, and follow-up duration were analyzed. Results: A total of 811 patients were included (median 42 years; 52.5% female). Compared with the normal group, the low-IGF-I group exhibited higher fatigue (FAS: 37.0 vs. 34.0; p < 0.05) and depressive (SDS: 50.0 vs. 49.0; p < 0.05) status. Multivariable linear regression analyses identified lower IGF-I SD as independently associated with higher scores of both FAS and SDS. IGF-I SD values showed negative correlations with ferritin (ρ = −0.125, p < 0.05) and TSH (ρ = −0.202, p < 0.01) and positive correlations with albumin (ρ = 0.227, p < 0.01) and FT4 (ρ = 0.165, p < 0.01). Among the 237 patients who completed follow-up, the median duration from the initial visit to recovery tended to be longer in the low-IGF-I group (221 days) compared with the normal (191 days) and high (109 days) groups, although these differences were not statistically significant overall. In patients aged < 50 years, the low-IGF-I group showed a relatively longer follow-up duration (p < 0.05). Furthermore, the low-IGF-I group had a longer time to recovery compared to the high-IGF-I group (p < 0.05), and this difference was more pronounced in patients under 50 years of age, with significant differences observed among the three IGF-I groups. Conclusions: Lower IGF-I levels in LC may be associated with greater fatigue and depressive symptoms and longer recovery time, particularly in younger patients. Further studies are needed to clarify the clinical significance of these findings.
Keywords
COVID-19
fatigue
IGF-I
long COVID
recovery
Published Date
2026-05-11
Publication Title
Journal of Clinical Medicine
Volume
volume15
Issue
issue10
Publisher
MDPI AG
Start Page
3702
ISSN
2077-0383
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2026 by the authors.
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isVersionOf https://doi.org/10.3390/jcm15103702
License
https://creativecommons.org/licenses/by/4.0/
Citation
Suyama, A.; Otsuka, Y.; Nakano, Y.; Tokumasu, K.; Sakurada, Y.; Matsuda, Y.; Honda, H.; Soejima, Y.; Hasegawa, T.; Takase, R.; et al. Exploratory Analysis of Serum IGF-I Levels and Symptom Trajectories in Long COVID During the Omicron Period. J. Clin. Med. 2026, 15, 3702. https://doi.org/10.3390/jcm15103702
助成情報
( Growth Science Foundation )
( Ofuji Endocrine Medical Award )
( Kobayashi Magobe Memorial Medical Foundation )
26K20545: コロナ後遺症からME/CFSへの移行を阻止するための臨床疫学的研究 ( 独立行政法人日本学術振興会 / Japan Society for the Promotion of Science )