Evidence map›Paper›PMID 42650156›Full record

ReviewGenes2026

Epigenetic Skeletal Muscle Memory: The Impact of Physical Activity on Aging and Post-Injury Regeneration.

Antoni Godlewski, Marcin Wróblewski, Julia Kuk, Magdalena Moritz, Filip Dobrak, Renata Kołodziejska, Alina Woźniak

Abstract readReview
In one paragraph

Review in Genes, 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

7 authors.

Antoni GodlewskiStudent Scientific Club of Biochemistry and Bioorganic Chemistry, Department of Medical Biology and Biochemistry, Faculty of Medicine, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 24 Karłowicza St., 85-092 Bydgoszcz, Poland.ORCID 0009-0004-0406-8421
Marcin WróblewskiDepartment of Medical Biology and Biochemistry, Faculty of Medicine, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 24 Karłowicza St., 85-092 Bydgoszcz, Poland.ORCID 0000-0002-7887-132X
Julia KukStudent Scientific Club of Biochemistry and Bioorganic Chemistry, Department of Medical Biology and Biochemistry, Faculty of Medicine, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 24 Karłowicza St., 85-092 Bydgoszcz, Poland.
Magdalena MoritzStudent Scientific Club of Biochemistry and Bioorganic Chemistry, Department of Medical Biology and Biochemistry, Faculty of Medicine, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 24 Karłowicza St., 85-092 Bydgoszcz, Poland.
Filip DobrakStudent Scientific Club of Biochemistry and Bioorganic Chemistry, Department of Medical Biology and Biochemistry, Faculty of Medicine, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 24 Karłowicza St., 85-092 Bydgoszcz, Poland.
Renata KołodziejskaDepartment of Medical Biology and Biochemistry, Faculty of Medicine, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 24 Karłowicza St., 85-092 Bydgoszcz, Poland.ORCID 0000-0002-7277-721X
Alina WoźniakDepartment of Medical Biology and Biochemistry, Faculty of Medicine, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 24 Karłowicza St., 85-092 Bydgoszcz, Poland.ORCID 0000-0002-4492-4796

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle retains adaptive information from previous mechanical loading, enabling faster responses to subsequent training and regenerative challenges. This review synthesizes current evidence on the cellular and epigenetic mechanisms underlying skeletal muscle memory and examines how these mechanisms are modified by aging and post-injury regeneration. Muscle memory emerges from complementary structural and molecular components, including myonuclear retention, persistent DNA methylation changes, chromatin remodeling, transcriptional priming, non-coding RNA regulation, and mitochondrial epigenetic adaptations. These mechanisms interact with muscle satellite cells (MuSCs), fibro-adipogenic progenitors (FAPs), immune cells, and extracellular matrix remodeling to maintain regenerative competence. During aging, epigenetic drift, chronic low-grade inflammation, altered macrophage states, MuSC dysfunction, persistent FAP activity, fibrosis, mitochondrial impairment, and anabolic resistance progressively reduce this plasticity, thereby contributing to sarcopenia. Training-detraining-retraining studies indicate that parts of the exercise-induced epigenetic landscape remain detectable after training cessation and can be reactivated during renewed loading, although the persistence and functional importance of individual molecular signatures remain incompletely defined. Physical exercise remains the most established intervention for preserving muscle function and epigenetic responsiveness, whereas caloric restriction, modulation of nutrient-sensing pathways, senolytic strategies, and direct targeting of epigenetic regulators remain promising but translationally less mature approaches. Overall, the preservation of epigenetic plasticity may be a key determinant of healthy skeletal muscle aging and effective regeneration.

Indexed as

AgingEpigenesis, GeneticExerciseMuscle, SkeletalRegenerationAnimalsDNA MethylationEpigenetic MemoryHumansagingepigenetic memorymuscle memorymuscle regenerationphysical exercisesarcopeniaskeletal muscle

Identifiers

PMID42650156
PMCPMC13512625

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.