Bioinformatics and machine learning approaches to explore key biomarkers in muscle aging linked to adipogenesis.

IF 2.4 3区医学 Q2 ORTHOPEDICS BMC Musculoskeletal Disorders Pub Date : 2025-03-22 DOI:10.1186/s12891-025-08528-9

Yumin Zhang, Li Qin, Juan Liu

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Abstract

Adipogenesis is intricately linked to the onset and progression of muscle aging; however, the relevant biomarkers remain unclear. This study sought to identify key genes associated with adipogenesis in the context of muscle aging. Firstly, gene expression profiles from biopsies of the vastus lateralis muscle in both young and elderly population were retrieved from the GEO database. After intersecting with the results of differential gene analysis, weighted gene co-expression network analysis, and sets of adipogenesis-related genes, 29 adipogenesis-related differential expressed genes (ARDEGs) were selected. Connectivity Map (cMAP) analysis identified tamsulosin, fraxidin, and alaproclate as key target compounds. In further, using three machine learning algorithms and the friends analysis, four hub ARDEGs, ESRRA, RXRG, GADD45A, and CEBPB were identified and verified in vivo aged mice muscles. Immune infiltration analysis showed a strong link between several immune cells and hub ARDEGs. In all, these findings suggested that ESRRA, RXRG, GADD45A, and CEBPB could serve as adipogenesis related biomarkers in muscle aging.

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生物信息学和机器学习方法探索与脂肪生成相关的肌肉老化的关键生物标志物。

脂肪生成与肌肉老化的发生和发展有着复杂的联系；然而，相关的生物标志物仍不清楚。本研究试图在肌肉衰老的背景下确定与脂肪生成相关的关键基因。首先，从GEO数据库中检索了年轻人和老年人的股外侧肌活检的基因表达谱。结合差异基因分析、加权基因共表达网络分析和脂肪生成相关基因集的结果，筛选出29个脂肪生成相关差异表达基因（ardeg）。连接图谱（cMAP）分析发现坦索罗辛、弗拉西丁和阿替丙酸酯是主要的靶化合物。进一步，利用三种机器学习算法和朋友分析，在体内衰老小鼠肌肉中识别并验证了四个中枢ARDEGs， ESRRA， RXRG， GADD45A和CEBPB。免疫浸润分析显示几种免疫细胞与中枢ardeg之间存在密切联系。总之，这些发现表明，ESRRA、RXRG、GADD45A和CEBPB可能是肌肉衰老过程中脂肪生成相关的生物标志物。

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来源期刊

BMC Musculoskeletal Disorders 医学-风湿病学

CiteScore

3.80

自引率

8.70%

发文量

1017

审稿时长

3-6 weeks

期刊介绍： BMC Musculoskeletal Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of musculoskeletal disorders, as well as related molecular genetics, pathophysiology, and epidemiology. The scope of the Journal covers research into rheumatic diseases where the primary focus relates specifically to a component(s) of the musculoskeletal system.