Review outlines multicellular niche dynamics and network restoration strategies in skeletal muscle aging

A review in Aging Cell describes skeletal muscle aging as a tissue-level failure of multicellular coordination, suggesting that future therapeutics should prioritize restoring intercellular communication networks rather than targeting isolated cell types.

Researchers from the Korea Research Institute of Bioscience and Biotechnology (KRIBB) and Korea University of Science and Technology published a review in Aging Cell on the dynamics of skeletal muscle aging.

The authors synthesized evidence showing that muscle decline is driven by age-dependent remodeling of muscle stem cells, fibro-adipogenic progenitors, immune cells, vascular cells, and neuromuscular components.

The review highlights that these diverse populations become locked in maladaptive, self-reinforcing signaling circuits that drive persistent inflammation, fibrosis, senescence, and impaired tissue repair.

The authors emphasized the importance of transitioning from computationally inferred ligand-receptor interactions to functionally validated in vivo pathways to establish therapeutic targets.

Traditional therapeutic development has often focused on isolating and correcting defects within a single cell type, such as muscle stem cells.

By framing muscle decline as a failure of multicellular network coordination, the review argues that repairing communication circuits is a more promising framework for addressing sarcopenia than simple cell elimination.

This framework could influence target discovery platforms by prioritizing therapeutic candidates capable of modulating complex, multi-population cellular crosstalk.

The paradigm shift from senolysis (eliminating dysfunctional cells) to communication-network reconstruction may impact preclinical pipelines targeting tissue fibrosis and stem cell niche microenvironments.

The emergence of in vivo functional validation studies to confirm the causal intercellular signaling pathways identified by single-cell and spatial muscle atlases.