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From a Solitary Blood-Derived Biomarker to Combined Biomarkers of Sarcopenia: Experiences From the Korean Frailty and Aging Cohort Study

肌萎缩 生物标志物 肌生成抑制素 内科学 医学 GDF15型 内分泌学 神经营养因子 生物信息学 生物 骨骼肌 生物化学 受体
作者
Chang Won Won,Miji Kim,Hyung Eun Shin
出处
期刊:The Journals of Gerontology [Oxford University Press]
卷期号:80 (6) 被引量:3
标识
DOI:10.1093/gerona/glae237
摘要

Abstract Sarcopenia is recognized as a complex and multifactorial disorder that includes nutritional deficiency, inactivity, proinflammatory status, hormonal changes, neurological degeneration, and metabolic disturbances. It’s 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.
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