Evidence map›Paper›PMID 40025137›Full record

ArticleScientific reports2025

Profiling of RNA N6-Methyladenosine methylation reveals the critical role of m6A in betaine alleviating hepatic steatosis.

Yuna Wu, Jingsu Yu, Haisen Song, Dehao Lu, Zhilin Li, Xiangling Li, Zhaoxuan Ding, Lei Zhou, Jie Ma, Ying Zhang and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 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. Article
  3. Article
  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

11 authors.

Yuna Wu *Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Jingsu Yu *Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Haisen SongGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Dehao LuGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Zhilin LiGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Xiangling LiGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Zhaoxuan DingGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Lei ZhouGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Jie MaGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.
Ying ZhangSchool of Life Sciences, Biodiscovery Institute, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
Yixing LiGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, 530004, China. liyixing39@gxu.edu.cn.

Funding

Guangxi Science Foundation for Distinguished Young Scholars 2020GXNSFFA297008National College Students Innovation and Entrepreneurship Training Program 202110593147National Key R&D Program of China 2023YFE0100800National Natural Science Foundation of China 32272952
6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major predisposing factor of metabolic dysfunction-associated steatohepatitis, hepatic fibrosis and hepatocellular carcinoma. Abnormal RNA m6A modification leads to the disturbance of lipid metabolism, insulin resistance, and chronic inflammation, all of which are critical for the onset and progression of MASLD. It has been shown that betaine supplementation has an ameliorative effect on symptoms associated with MASLD. The purpose of this study is to explore the role of RNA m6A modification in the alleviation of MASLD by betaine, and to find out the possible targets of betaine. Methylated RNA immunoprecipitation sequencing (MeRIP-seq) and RNA sequencing (RNA-seq) were respectively employed to contrast m6A methylation profiles of livers from high-fat diet mice with betaine supplementation vs. those without betaine supplementation (HB vs. HFD). Functional enrichment analysis showed that up-methylated genes are mainly related to mTOR signaling pathway, Rap1 signaling pathway and MAPK signaling pathway. In addition, differentially expressed mRNAs were enriched in pathways such as promoting lipid catabolism and reducing lipid accumulation. By combining analyses of MeRIP-seq and RNA-seq, we identified 27 genes exhibiting significant differences in m6A abundance and mRNA levels. Notably, a new candidate gene, Trub2, was screened out and identified. Inhibition of Trub2 increased intracellular TG levels in AML12 cells, and this promotion was reduced by betaine, suggesting that betaine reduces intracellular TG levels by increasing Trub2 expression. Our findings in this study provide a new target and a new approach for the treatment of MASLD.

Indexed as

AdenosineBetaineFatty LiverAnimalsDiet, High-FatLipid MetabolismLiverMaleMethylationMiceMice, Inbred C57BLAdenosineBetaineN-methyladenosineBetaineMASLDMeRIP-seqN6-methyladenosine (m6A)Trub2

Identifiers

PMID40025137
PMCPMC11873031

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.