Evidence map›Paper›PMID 42852640›Full record

ReviewJournal of cellular physiology2026

Rev-erb-α in Skeletal Muscle Adaptation: Integrating Circadian Control Mechanisms and Exercise Dynamic Responses.

Ivo Vieira de Sousa Neto, Alisson Luiz da Rocha, Ana Paula Pinto, Eliézer Lucas Pires Ramos, Eduardo Rochete Ropelle, José Rodrigo Pauli, Ellen Cristini de Freitas, Adelino Sanchez Ramos da Silva

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of cellular physiology, 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

8 authors.

Ivo Vieira de Sousa NetoSchool of Physical Education and Sport of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-1479-5866
Alisson Luiz da RochaSchool of Applied Sciences, University of Campinas (UNICAMP), Limeira, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-4133-8353
Ana Paula PintoSchool of Physical Education and Sport of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-9139-6746
Eliézer Lucas Pires RamosSchool of Physical Education and Sport of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-9437-5545
Eduardo Rochete RopelleSchool of Applied Sciences, University of Campinas (UNICAMP), Limeira, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-1655-9557
José Rodrigo PauliSchool of Applied Sciences, University of Campinas (UNICAMP), Limeira, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-6129-1521
Ellen Cristini de FreitasSchool of Physical Education and Sport of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-7343-2002
Adelino Sanchez Ramos da SilvaSchool of Physical Education and Sport of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-9679-8357

Funding

National Council for Scientific and Technological Development 303766/2022National Council for Scientific and Technological Development 308999/2022-3São Paulo Research Foundation 2019/11820-5São Paulo Research Foundation 2019/21709-4São Paulo Research Foundation 2021/14233-3São Paulo Research Foundation 2023/00380-0São Paulo Research Foundation 2023/16626-8São Paulo Research Foundation 2024/11074-0São Paulo Research Foundation 2024/20524-9
6 · The paper itself

Abstract

Circadian rhythms orchestrate a host of biological processes in a time-dependent manner to maintain homeostasis in response to exercise. Within this framework, Rev-erb-α, an intracellular nuclear receptor and transcriptional regulator, transcends its role in circadian rhythms to drive myogenesis, muscle remodeling, primary metabolism, and autophagy, underscoring its versatile, pleiotropic actions. This review consolidates experimental evidence from cell culture, genetically modified animal models, drug-based approaches and humans, highlighting the role of Rev-erb-α mechanisms in skeletal muscle and exercise adaptation. Recent frontier-of-knowledge data indicate that acute and chronic exercise elicit distinct Rev-erb-α signatures. There is bimodal regulation: Rev-erb-α is downregulated immediately post-exercise, followed by a subsequent increase, reflecting its primary role in pathway repression. In chronic conditions, the upregulation of Rev-erb-α can act as an adaptive mechanism that governs robust responses to energy demand and mitochondrial function, thereby coordinating the metabolic network, calcium homeostasis, and oxidative capacity. Also, Rev-erb-α overexpression or its pharmacological activation may reduce pathways associated with muscle atrophy, thereby preserving tissue function and muscle mass. Excitingly, higher physical activity levels increase the amplitude of Rev-erb-α over 24 h, enhancing health and performance. However, exercise timing determines the Rev-erb-α signature that affects downstream phenotypes in skeletal muscle. Thus, elucidating the mechanisms of regulation and action of the Rev-erb-α protein may offer new perspectives for improving or preserving muscle quality across different health conditions and diseases.

Indexed as

Adaptation, PhysiologicalCircadian RhythmExerciseMuscle, SkeletalNuclear Receptor Subfamily 1, Group D, Member 1AnimalsEnergy MetabolismHumansMuscle DevelopmentNuclear Receptor Subfamily 1, Group D, Member 1autophagycircadian rhythmsexercisemetabolic flexibilitymyogenesis

Identifiers

PMID42852640

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.