UQCR10 and TNNT1: novel biomarkers for sarcopenia identified through integrated transcriptomic analysis and machine learning.

Wenhan Sun, Zhitao Shangguan, Jiandong Li, Xiaoqing Ye, Qiong Lin, Gang Chen

School of Basic Medical Sciences, Fujian Medical University, NO.1 Xueyuan Road, Shangjie Town, Fuzhou, 350122, Fujian, China.School of Basic Medical Sciences, Fujian Medical University, NO.1 Xueyuan Road, Shangjie Town, Fuzhou, 350122, Fujian, China. · pubmed

Paper

Abstract

Sarcopenia, the age-related loss of muscle mass and function, significantly impacts health outcomes in older adults. Despite its prevalence, molecular diagnostics and targeted therapies remain limited due to incomplete understanding of its pathophysiology.

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Research summary

The paper identifies UQCR10 and TNNT1 as novel biomarkers for sarcopenia through integrated transcriptomic analysis and machine learning. The focus on biomarkers for sarcopenia, a condition directly related to aging and its effects on muscle mass and function, contributes to understanding age-related diseases.

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