Evidence map›Paper›PMID 39994526›Full record

ArticleBMC genomics2025

M6A methyltransferase METTL3 promotes glucose metabolism hub gene expression and induces metabolic dysfunction-associated steatotic liver disease (MASLD).

Shuowen Wang, Ziying Xu, Zijun Wang, Xiaoyu Yi, Jianxin Wu

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Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shuowen WangGastroenterology Department, Children's Hospital Capital Institute of Pediatrics, Beijing, 100020, China.
Ziying XuBacteriology Department, Capital Institute of Pediatrics, Beijing, 100020, China.
Zijun WangBeijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
Xiaoyu YiDepartment of Biochemistry and Immunology, Capital Institute of Pediatrics, Beijing, 100020, China.
Jianxin WuBeijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing, 100020, China. jianxinwu_tongren@163.com.

Funding

Beijing Natural Science Foundation 7244288Capital Institute of Pediatrics basic special key funding project JCYJ-2025-11
6 · The paper itself

Abstract

backgroundN6-methyladenosine (m6A) RNA modification plays a crucial role in various biological events and is implicated in various metabolic-related diseases. However, its role in MASLD remains unclear. This study aims to investigate the impact of METTL3 on MASLD through multi-omics analysis, with a focus on exploring its potential mechanisms of action.

methodsAn MASLD mouse model was established by feeding C57BL/6J mice a high-fat diet for 12 weeks. A METTL3 stable overexpression AML12 cell model was also constructed via lentiviral transfection. Subsequent transcriptomic and proteomic analyses, as well as integrated analysis between different omics datasets, were conducted.

resultsMETTL3 expression was significantly increased in the MASLD mouse model. Through our transcriptomic and proteomic analyses, we identified 848 genes with significant inconsistencies between the transcriptomic and proteomic datasets. GO/ KEGG enrichment analyses identified terms that may be involved in post-transcriptional modifications, particularly METTL3-mediated m6A modification. Subsequently, through integrated proteomic analysis of the METTL3-overexpressed AML12 cell model and the MASLD mouse model, we selected the top 20 co-upregulated and co-downregulated GO/ KEGG terms as the main biological processes influenced by METTL3 during MASLD. By intersecting with pathways obtained from previous integrated analyses, we identified GO/ KEGG terms affected by METTL3-induced m6A modification. Protein-protein interaction analysis of proteins involved in these pathways highlighted GAPDH and TPI1 as two key hub genes.

conclusionsDuring MASLD, METTL3 regulates the glycolytic pathway through m6A modification, influencing the occurrence and development of the disease via the key hub genes GAPDH and TPI1. These findings expand our understanding of MASLD and provide strong evidence for potential therapeutic targets and drug development.

Indexed as

GlucoseMethyltransferasesNon-alcoholic Fatty Liver DiseaseAdenosineAnimalsCell LineDiet, High-FatDisease Models, AnimalGene Expression ProfilingGene Expression RegulationHumansMaleMiceMice, Inbred C57BLProteomicsTranscriptomeAdenosineGlucoseMethyltransferasesMettl3 protein, mouseN-methyladenosinem6AMASLDMETTL3ProteomicTranscriptome

Identifiers

PMID39994526
PMCPMC11853331

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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.