Zhou Yun, Zhang Kemeng, Zhang Yanling, He Ping, Wang Zhaohui
Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Front Endocrinol (Lausanne). 2025 Sep 3;16:1635234. doi: 10.3389/fendo.2025.1635234. eCollection 2025.
Sarcopenia is a disease of loss of muscle mass and decreased skeletal muscle function with impaired ability in the activities of daily life. Exploring potential biomarkers for sarcopenia may lead to early screening and intervention for sarcopenia.This study investigated the prevalence and potential biomarkers of sarcopenia in older adults living in rural community in Wuhan,China.
This cross-sectional study involved 236 older participants (age ≥65 years) who received a health examination that included body composition and 23 circulating biomarkers. Sarcopenia was defined by the Asian Working Group for Sarcopenia revised in 2019 (AWGS2019). We divided the participants into a non-sarcopenia group and a sarcopenia group. The correlation between biomarkers and sarcopenia was analyzed by independent sample -test, and then the significant variables of the -test ( < 0.05) were included in the binary logistic regression model to determine the independent factors associated with sarcopenia.
Among the 236 participants, 61% were females, with a mean age of 70.6 ± 4.4years. The prevalence of sarcopenia in rural community was 25.4%(men 20.7%, women 28.5%). Analyses were conducted using binary logistic regression, growth differentiation factor 11(GDF11), was an independent risk factor for sarcopenia [Exp (B) 1.031, 95% CI: 1.010-1.052, = 0.003]. Body mass index(BMI), albumin(ALB), fibroblast growth factor 19(FGF19), and tumour necrosis factor alpha(TNF-α) were independent protective factors for sarcopenia [BMI: Exp (B) 0.007, 95% CI: 0.000-0.244, = 0.006;ALB: Exp (B) 0.490, 95% CI: 0.281-0.853, = 0.012; FGF19: Exp(B) 0.804, 95% CI: 0.683-0.946, = 0.009; TNF-α: Exp (B) 0.379, 95% CI: 0.194-0.742, = 0.005].
About a quarter of older adults in rural Chinese communities are at risk of sarcopenia. Lower BMI, lower serum ALB, FGF19, TNF-α, and higher circulating GDF11 are associated with sarcopenia.
肌肉减少症是一种肌肉量减少、骨骼肌功能下降且日常生活活动能力受损的疾病。探索肌肉减少症的潜在生物标志物可能有助于早期筛查和干预肌肉减少症。本研究调查了中国武汉农村社区老年人中肌肉减少症的患病率及其潜在生物标志物。
这项横断面研究纳入了236名年龄≥65岁的老年参与者，他们接受了包括身体成分和23种循环生物标志物在内的健康检查。肌肉减少症采用2019年亚洲肌肉减少症工作组修订版（AWGS2019）进行定义。我们将参与者分为非肌肉减少症组和肌肉减少症组。通过独立样本t检验分析生物标志物与肌肉减少症之间的相关性，然后将t检验的显著变量（P<0.05）纳入二元逻辑回归模型，以确定与肌肉减少症相关的独立因素。
在236名参与者中，61%为女性，平均年龄为70.6±4.4岁。农村社区肌肉减少症的患病率为25.4%（男性为20.7%，女性为28.5%）。采用二元逻辑回归分析，生长分化因子11（GDF11）是肌肉减少症的独立危险因素[Exp（B）1.031，95%CI：1.010 - 1.052，P = 0.003]。体重指数（BMI）、白蛋白（ALB）、成纤维细胞生长因子19（FGF19）和肿瘤坏死因子α（TNF-α）是肌肉减少症的独立保护因素[BMI：Exp（B）0.007，95%CI：0.000 - 0.244，P = 0.006；ALB：Exp（B）0.490，95%CI：0.281 - 0.853，P = 0.012；FGF19：Exp（B）0.804，95%CI：0.683 - 0.946，P = 0.009；TNF-α：Exp（B）0.379，95%CI：0.194 - 0.742，P = 0.005]。
约四分之一的中国农村社区老年人存在肌肉减少症风险。较低的BMI、较低的血清ALB、FGF19、TNF-α以及较高的循环GDF11与肌肉减少症相关。
