Evidence map›Paper›PMID 40824213›Full record

ArticleGut microbes2025

Gut microbiota-mediated betaine regulates skeletal muscle fiber type transition by affecting m

Chao Yan, Yilong Yao, Zhaobo Zhang, Fanqinyu Li, Danyang Fan, Wen Liu, Xinhao Fan, Lingna Xu, Yanwen Liu, Shilong Wang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Gut microbes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. The role of mNaunyn-Schmiedeberg's archives of pharmacology · 2026
    Review
  2. Article
  3. Review
  4. AAnimals : an open access journal from MDPI · 2026
    Article
  5. The gut as a central hub for multi-organ crosstalk in aging.Cellular and molecular life sciences : CMLS · 2026
    Review
  6. Article
  7. Article
  8. Article
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

13 authors.

Chao YanShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yilong YaoKunpeng Institute of Modern Agriculture at Foshan, Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Foshan, China.
Zhaobo ZhangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Fanqinyu LiShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Danyang FanShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Wen LiuDepartment of Molecular Biology and Biophysics, University of Connecticut Health Center, Farmington, CT, USA.
Xinhao FanShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Lingna XuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yanwen LiuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Shilong WangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Mengling HuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yalan YangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Zhonglin TangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.ORCID 0000-0002-4538-4349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle fiber composition is essential for maintaining muscle function and overall health. Growing evidence underscores the pivotal role of the gut-muscle axis in mediating the influence of gut microbiota on skeletal muscle development. However, the mechanisms underlying microbiota-mediated regulation of skeletal muscle fiber type remain unclear. Here, we employed multi-omics approaches, including RNA-seq, MeRIP-seq, 16S rRNA gene sequencing, and metabolomics, to investigate the causal relationship between the gut microbiota and skeletal muscle fiber transition. Our results demonstrate that the gut microbiota modulates skeletal muscle fiber transition by influencing N6-methyladenosine (m

Indexed as

BetaineGastrointestinal MicrobiomeMuscle Fibers, SkeletalMyosin Heavy ChainsAdenosineAnimalsMaleMethylationMethyltransferasesMiceMice, Inbred C57BLMuscle, SkeletalRNA MethylationAdenosineBetaineMethyltransferasesMyh7 protein, mouseMyosin Heavy ChainsN-methyladenosineBetainegut microbiotam6A RNA methylationMyh7myofiber-type transition

Identifiers

PMID40824213
PMCPMC12363516

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.