Evidence map›Paper›PMID 40421929›Full record

ArticleEpigenomics2025

Transcriptome-wide N6-methyladenosine methylation dynamic profile in type 1 diabetes progression.

Wu Duan, Ziyi Peng, Kun Yang, Mengyuan Hu, Xuefeng Yu, Benping Zhang, Li Liu

Abstract read
In one paragraph

Article in Epigenomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wu DuanDivision of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ziyi PengDivision of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Kun YangDepartment of Dermatology and Venereology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Mengyuan HuThe Second School of Clinical Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xuefeng YuDivision of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Benping ZhangDivision of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Li LiuDivision of Endocrinology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo map transcriptome-wide N6-methyladenosine (m6A) profile at different stages of type 1 diabetes (T1D). MATERIALS &

methodsRNA extracted from islet tissues of non-obese diabetic mice at different ages (4-week-old control group, 8-week-old pre-diabetes group, and 14-week-old diabetes group) was analyzed by MeRIP-seq and mRNA-seq. Bioinformatics analyses, including m6A motif enrichment, differential methylation, gene ontology and pathway analysis.

resultsBioinformatic analysis revealed a progressive increase in m6A methylation sites and unique peaks throughout diabetes progression. The predominant m6A motif was "GGACU" in the control and pre-diabetes stages, shifting to "GGACU/A" in the diabetes stage. m6A modifications were primarily enriched at the start codon, coding region, and stop codon. Integrated analysis found pre-diabetes, diabetes groups showed distinct m6A and mRNA changes versus control. Pathway analysis indicated that differentially expressed mRNAs with m6A methylation were predominantly enriched in insulin/IGF-MAPKK/MAPK cascades, apoptosis, T-cell activation, interleukins, CCKR, and inflammation-related pathways in the pre-diabetes stage. As diabetes progressed, additional pathways, including Wnt, EGF receptor, PDGF, GnRH receptor, and angiogenesis, became involved in disease development. In vitro, cytokine stimulation of INS-1 cells increased m6A methylation, upregulated METTL3, downregulated ALKBH5.

conclusionsm6A methyl group dynamics in T1D disease progression, potentially influencing mRNA expression and signal transduction pathways.

Indexed as

AdenosineDiabetes Mellitus, Type 1DNA MethylationTranscriptomeAnimalsDisease ProgressionGene Expression ProfilingMaleMethylationMethyltransferasesMiceAdenosineMethyltransferasesN-methyladenosinebioinformatics analysisepigenetic regulationgene expression modulationm6A methylationtype 1 diabetes

Identifiers

PMID40421929
PMCPMC12140450

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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.