Identification of novel biomarkers and drug targets for frailty-related skeletal muscle aging: a multi-omics study.

ABSTRACT:

Background

Skeletal muscle aging is the major cause and hallmark of frailty, which poses a significant challenge to the healthcare system.

Aim

This study aimed to identify the potential biomarkers for the early detection and therapeutic intervention of this age-related condition.

Methods

A transcriptomics-based methodology using machine learning algorithms was performed to select the biomarker genes. A predictive machine learning model for (pre-)frailty based on the transcriptomic profile of the biomarker genes was constructed and validated. The cell-type specific changes of the biomarkers during muscle aging were investigated in a single-cell RNA sequencing dataset of human skeletal muscle. Summary data-based Mendelian randomization (SMR) and Bayesian colocalization

SUBMITTER: Wang Q 

PROVIDER: S-EPMC12668438 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature