Evidence map›Paper›PMID 40984037›Full record

ReviewJournal of cellular and molecular medicine2025

Advances and Deep Insights Into Lactylation: Essential Roles in Cellular Regulation and Disease Association.

Tong Pan, Can-Can Du, Ying-Jian Zhang, Zhen-Long Liu

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

4 authors.

Tong PanDepartment of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.ORCID 0009-0002-5857-2768
Can-Can DuDepartment of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.
Ying-Jian ZhangPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
Zhen-Long LiuDepartment of Sports Medicine, Peking University Third Hospital, Institute of Sports Medicine of Peking University, Beijing, China.

Funding

General Administration of Sport Science and Technology Innovation Project 22KJCX007Innovation & Transfer Fund of Peking University Third Hospital HDCXZHKC2021213Natural Science Foundation of Beijing Municipality L222065
6 · The paper itself

Abstract

Proteins exert biological functions not only depending on abundance but also on regulation. Lactylation is an important novel post-translational modification (PTM) that can affect protein structure and function, playing a crucial role in signal transduction, gene expression and cellular metabolism. Lactylation participates in the progression of various diseases, such as tumours, heart failure, myocardial infarction, renal fibrosis and Alzheimer's disease. These studies suggest that lactylation may mediate metabolic reprogramming and enhance cellular plasticity, providing new entry points for developing therapeutic approaches. This review introduces the progress on various aspects of lactylation, including mechanisms, regulations and disease associations, aiming to provide valuable insights and inspiration for further exploration of protein modification networks.

Indexed as

Protein Processing, Post-TranslationalProteinsAnimalsHumansNeoplasmsSignal TransductionProteinscellular regulationdisease associationlactatelactylationmolecular mechanism

Identifiers

PMID40984037
PMCPMC12454208

What OpenQuestion holds

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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.