{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T03:29:54Z","timestamp":1787887794476,"version":"build-2784847793"},"reference-count":74,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T00:00:00Z","timestamp":1729123200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Ministry of Health and Welfare, Republic of Korea","award":["HI15C3153"],"award-info":[{"award-number":["HI15C3153"]}]},{"name":"National Institute of Health, Korea Disease Control and Prevention Agency","award":["2021-ER0605-00"],"award-info":[{"award-number":["2021-ER0605-00"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Sarcopenia is recognized as a complex and multifactorial disorder that includes nutritional deficiency, inactivity, proinflammatory status, hormonal changes, neurological degeneration, and metabolic disturbances. It\u2019s pathogenesis is not fully understood. Therefore, identifying specific biomarkers of sarcopenia will help us understand its pathophysiology. The most frequently reported blood-derived biomarkers of sarcopenia are growth factors, neuromuscular junctions, endocrine systems, mitochondrial dysfunction, inflammation-mediated and redox processes, muscle protein turnover, blood metabolomics, and behavior-mediated biomarkers. Here, we address the implications of sarcopenia biomarkers based on our research experience with Korean Frailty and Aging Cohort Study cohort data. It includes free testosterone, myostatin, fibroblast growth factor 21 (FGF-21), growth differentiation factor 15 (GDF-15), procollagen type III N-terminal peptide (P3NP), creatinine-based biomarkers, eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), brain-derived neurotrophic factor (BDNF), metabolites (proline, alanine, tryptophan), and multi-biomarker risk score. We attempted to explain the paradoxical findings of myostatin and FGF-21 levels in relation to sarcopenia. GDF-15 levels were associated with sarcopenia prevalence but not its incidence. Plasma P3NP and BDNF levels may be biomarkers of muscle quality rather than quantity. Lower erythrocyte eicosapentaenoic acid (EPA) and docosahexaenoic acid levels were associated with slow gait speed, and erythrocyte EPA levels were associated with low handgrip strength. We developed a multi-biomarker risk score for sarcopenia and found that its accuracy in diagnosing sarcopenia was higher than that of any single biomarker.<\/jats:p>","DOI":"10.1093\/gerona\/glae237","type":"journal-article","created":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T09:13:37Z","timestamp":1729156417000},"source":"Crossref","is-referenced-by-count":8,"title":["From a Solitary Blood-Derived Biomarker to Combined Biomarkers of Sarcopenia: Experiences From the Korean Frailty and Aging Cohort Study"],"prefix":"10.1093","volume":"80","author":[{"given":"Chang Won","family":"Won","sequence":"first","affiliation":[{"name":"Department of Family Medicine, Elderly Frailty Sarcopenia Research Center, College of Medicine, Kyung Hee University, Kyung Hee University Medical Center , Seoul ,","place":["Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1055-1371","authenticated-orcid":false,"given":"Miji","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Health Sciences and Technology, College of Medicine, Kyung Hee University , Seoul ,","place":["Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyung Eun","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Health Sciences and Technology, College of Medicine, Kyung Hee University , Seoul ,","place":["Republic of Korea"]},{"name":"Department of Orthopaedics, Emory Musculoskeletal Institute, Emory University School of Medicine , Atlanta, Georgia ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,10,17]]},"reference":[{"issue":"12","key":"2025060705251825800_CIT0001","doi-asserted-by":"publisher","first-page":"2415","DOI":"10.1093\/gerona\/glad165","article-title":"Predicting slow walking speed from a pooled cohort analysis: sarcopenia definitions, agreement, and prevalence in Australia and New Zealand","volume":"78","author":"Zanker","year":"2023","journal-title":"J Gerontol A Biol Sci Med Sci."},{"issue":"10","key":"2025060705251825800_CIT0002","doi-asserted-by":"publisher","first-page":"M911","DOI":"10.1093\/gerona\/58.10.m911","article-title":"Sarcopenia: causes, consequences, and preventions","volume":"58","author":"Marcell","year":"2003","journal-title":"J Gerontol A Biol Sci Med Sci."},{"issue":"6","key":"2025060705251825800_CIT0003","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1097\/BOR.0b013e328358d59b","article-title":"Sarcopenia in older adults","volume":"24","author":"Walston","year":"2012","journal-title":"Curr Opin Rheumatol."},{"issue":"4","key":"2025060705251825800_CIT0004","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/j.jamda.2011.01.003","article-title":"Sarcopenia: an undiagnosed condition in older adults. 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