ReviewSkeletal muscle2026
Mechanobiological landscape of muscle stem cells.
Review in Skeletal muscle, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
2 authors.
Funding
Abstract
Skeletal muscle is distinguished by its remarkable regenerative capacity and mechanical resilience. Continuously challenged by mechanical stress, it adapts to increased load through hypertrophy but undergoes atrophy when mechanical stress is reduced. This regenerative plasticity depends on tissue-resident muscle stem cells (satellite cells; MuSCs), which orchestrate regeneration following injury. Recent studies reveal that change in the MuSCs microenvironment (niche) regulate their regenerative capacity, with particular attention being given to the mechanisms of mechanosensation. In this review, we summarize our current knowledge of the mechanosensory mechanisms through which MuSCs respond to mechanical perturbations in regenerating myofibers. We highlight recent advances in mechanosensitive receptors, including ion channels, and the downstream mechano-signaling pathways that shape MuSC fate. Finally, we discuss future directions in the field, emphasizing emerging biochemical and biomedical technologies that advance the study of MuSC mechanobiology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.