Evidence map›Paper›PMID 42286768›Full record

ReviewSkeletal muscle2026

Enhancers integrate microenvironmental signals in muscle stem cells during regeneration in health, disease, and aging.

Sarah Hachmer, F Jeffrey Dilworth

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sarah HachmerDepartment of Cell and Regenerative Biology, University of Wisconsin, Madison, WI, 53705, USA.
F Jeffrey DilworthDepartment of Cell and Regenerative Biology, University of Wisconsin, Madison, WI, 53705, USA. fdilworth@wisc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective skeletal muscle regeneration requires muscle stem cells (MuSCs) to continuously interpret and respond to signals from their surrounding microenvironment. These niche-derived cues, including inflammatory, extracellular matrix, paracrine, metabolic, and biomechanical signals, direct MuSC progression through quiescence, activation, proliferation, and differentiation by reshaping gene expression programs. Increasing evidence suggests that transcriptional enhancers serve as a key regulatory interface through which environmental information is translated into transcriptional output. Enhancer activity is governed by the coordinated action of lineage-defining transcription factors, histone modifiers, chromatin remodelers, transcriptional coactivators, and architectural proteins that together regulate chromatin accessibility, enhancer-promoter communication, and gene activation. Recent work has shown that enhancer landscapes and three-dimensional genome organization are highly dynamic during muscle regeneration and become altered in aging and disease. In this review, we examine how enhancer-associated mechanisms enable MuSCs to interpret niche-derived signals, highlighting the roles of transcription factor networks, chromatin remodeling complexes, and enhancer-promoter interactions in coordinating gene expression. We further discuss how disruption of enhancer regulation contributes to impaired regeneration in aging and muscular dystrophy, where altered chromatin states and genome organization lead to aberrant transcriptional responses. Understanding how these regulatory elements integrate complex environmental signals will be essential for defining the mechanisms underlying muscle regeneration and may provide new avenues for therapeutic intervention.

Indexed as

AgingEnhancer Elements, GeneticMuscle, SkeletalRegenerationStem CellsAnimalsChromatin Assembly and DisassemblyHumansMuscle DevelopmentSignal TransductionGene ExpressionInflammationMuscle Stem CellsMyogenesisNicheRegenerationTranscriptional Enhancers

Identifiers

PMID42286768
PMCPMC13488210

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.