International Journal of Molecular Sciences

Activin A is linked to muscle stem cell shifts in human aging

Transcriptomic profiling of human skeletal muscle paired with cell experiments identified inflammatory macrophages and Activin A signaling as candidate regulators of altered muscle stem cells.

Figure 1. Age-associated inflammatory activation and metabolic decline in human skeletal muscle transcriptomes.
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Figure 1. Age-associated inflammatory activation and metabolic decline in human skeletal muscle transcriptomes.Age-associated inflammatory activation and metabolic decline in human skeletal muscle transcriptomes.Liu et al., CC BY
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Analyzing bulk and single-cell RNA-sequencing data from human skeletal muscle, researchers characterized age-associated cellular shifts, including inflammatory activation, diminished metabolic programs, and increased macrophage-associated signatures. Inflammatory macrophages from aged muscle showed the highest SenMayo senescence scores, while early-primed muscle stem cells displayed age-associated remodeling involving inflammatory, interferon-related, and extracellular matrix programs.

Ligand-target modeling prioritized inhibin subunit beta A (INHBA), or Activin A, as a candidate signal connecting inflammatory macrophages to this stem cell remodeling, a pattern supported in an independent older adult cohort. In cultured primary human muscle stem cells, Activin A suppressed myogenic regulators and induced Activin-responsive genes, changes that were attenuated by the ALK4/5/7 inhibitor SB431542.

Why it matters

The findings suggest a candidate mechanism by which immune niche remodeling may contribute to declining regenerative capacity in aging human muscle.

Caveats

The initial signaling links were derived from observational, cross-sectional transcriptomic datasets, and functional tests were limited to primary cell cultures outside their native tissue context.

From the paper

Limitation

The transcriptomic datasets were cross-sectional and derived from independent cohorts, and NicheNet provides predictive rather than causal evidence.

3. Discussion

Quoted word for word from the full text on PubMed Central.