Single-Nucleus RNA Sequencing Reveals Muscle Fiber Cell Heterogeneity during Human Skeletal Muscle Aging
Li Wu, Caixia Gong, Ange Wang, Jing Chen, Qin Zhang

TL;DR
This study uses single-nucleus RNA sequencing to uncover changes in muscle cell types and signaling pathways during human aging, revealing potential targets for treating age-related muscle decline.
Contribution
The study provides a novel molecular atlas of human skeletal muscle aging using snRNA-seq, identifying specific cell subpopulations and signaling pathways associated with aging.
Findings
Older adults showed muscle fiber atrophy, especially in type IIA and IIX fibers, with increased RUNX1+, NCAM1+, and SORBS2+ subpopulations.
Age-related changes in metabolic pathways, calcium signaling, HIF-1, and MAPK were identified through differential gene expression and pathway analysis.
Enhanced cell-cell communication in aged muscle, particularly between mast cells and FAPs, suggests roles in extracellular matrix remodeling and inflammation.
Abstract
Skeletal muscle aging is characterized by a progressive decline in muscle mass and function, yet its cellular and molecular mechanisms remain incompletely understood. In this study, we utilized single-nucleus RNA sequencing (snRNA-seq) to construct a comprehensive molecular atlas of skeletal muscle aging by analyzing vastus lateralis muscle samples from five Chinese male adults (aged 22 to 60 years) and three older adults (aged 99 to 101 years). Our analysis revealed significant muscle fiber atrophy in the older group, particularly a reduction in type IIA and IIX fibers, accompanied by a relative increase in RUNX1+, NCAM1+, and SORBS2+ fiber subpopulations. Differential gene expression and pathway enrichment analyses identified age-related alterations in metabolic pathways, calcium signaling, HIF-1, and MAPK pathways. Cell–cell communication analysis demonstrated an enhanced interaction…
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Taxonomy
TopicsMuscle Physiology and Disorders · Adipose Tissue and Metabolism · Single-cell and spatial transcriptomics
