Evidence mapPaperPMID 41769157Full record

ReviewFrontiers in sports and active living2026

Exercise-specific post-translational modification signatures: unveiling precise regulatory mechanisms of molecular exercise language and cellular adaptation.

Yinghao Shen, Zhujun Mao, Heming Chen, Wenyue Zhu, Qianhui Guan, Yupeng Yang, Junjie Liu, Li Li

Abstract readReview
In one paragraph

Review in Frontiers in sports and active living, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Lactate regulates osteoclastogenesis via H3k18la in osteoarthritis.International journal of molecular medicine · 2026
    Article
  2. Review
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.

Yinghao Shen *Graduate School, Harbin Sport University, Harbin, China.
Zhujun Mao *Graduate School, Harbin Sport University, Harbin, China.
Heming ChenGraduate School, Harbin Sport University, Harbin, China.
Wenyue ZhuGraduate School, Harbin Sport University, Harbin, China.
Qianhui GuanGraduate School, Harbin Sport University, Harbin, China.
Yupeng YangGraduate School, Harbin Sport University, Harbin, China.
Junjie LiuGraduate School, Harbin Sport University, Harbin, China.
Li LiGraduate School, Harbin Sport University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exercise reshapes cellular function and intercellular communication through dynamic post-translational modifications (PTMs) that fine-tune protein activity and inter-organ signaling. However, the traditional aerobic-anaerobic dichotomy does not fully capture PTM-driven regulatory logic across exercise modes. This review centers on the muscle-brain and muscle-liver axes and proposes an operational concept of exercise-specific PTM signatures, emphasizing acetylation, ubiquitination, and lactylation as core PTMs implicated in metabolic memory and adaptive remodeling. To connect exercise intensity with metabolic improvement, we introduce the PTM threshold theory and outline how integrated exercise-PTM-disease target databases, coupled with machine-learning approaches, can support personalized exercise prescription and translation toward exercise pharmacology and rare-disease rehabilitation. Overall, PTM-centered regulatory networks provide a unifying and actionable framework for decoding exercise adaptation and prioritizing therapeutic strategies.

Indexed as

exercise-specific PTM signaturesinter-organ communicationmachine learningmetabolic memorypost-translational modificationsprecision exercise prescription

Identifiers

PMID41769157
PMCPMC12945398

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.