Evidence map›Paper›PMID 39623870›Full record

ArticleEpigenomics2025

Multi-omics insights into the pathogenesis of diabetic cardiomyopathy: epigenetic and metabolic profiles.

Li Zhou, Shuai Mei, Xiaozhu Ma, Qidamugai Wuyun, Ziyang Cai, Chen Chen, Hu Ding, Jiangtao Yan

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. 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

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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.

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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

8 authors.

Li ZhouDivision of Cardiology, Departments of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.ORCID 0009-0003-8110-2331
Shuai MeiDivision of Cardiology, Departments of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Xiaozhu MaDivision of Cardiology, Departments of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Qidamugai WuyunDivision of Cardiology, Departments of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Ziyang CaiDivision of Cardiology, Departments of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Chen ChenDivision of Cardiology, Departments of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Hu DingDivision of Cardiology, Departments of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Jiangtao YanDivision of Cardiology, Departments of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimDiabetic cardiomyopathy (DbCM), a complex metabolic disease, greatly threatens human health due to therapeutic limitations. Multi-omics approaches facilitate the elucidation of its intrinsic pathological changes.

methodsMetabolomics, RNA-seq, proteomics, and assay of transposase-accessible chromatin (ATAC-seq) were utilized to elucidate multidimensional molecular alterations in DbCM.

resultsIn the heart and plasma of mice with DbCM, metabolomic analysis demonstrated significant differences in branched-chain amino acids (BCAAs) and lipids. Subsequent RNA-seq and proteomics showed that the key genes, including BCKDHB, PPM1K, Cpt1b, Fabp4, Acadm, Acadl, Acadvl, HADH, HADHA, HADHB, Eci1, Eci2, PDK4, and HMGCS2, were aberrantly regulated, contributing to the disorder of BCAAs and fatty acids. ATAC-seq analysis underscored the pivotal role of epigenetic regulation by revealing dynamic shifts in chromatin accessibility and a robust positive correlation with gene expression patterns in diabetic cardiomyopathy mice. Furthermore, motif analysis identified that KLF15 as a critical transcription factor in DbCM, regulating the core genes implicated with BCAAs metabolism.

conclusionOur research delved into the metabolic alterations and epigenetic landscape and revealed that KLF15 may be a promising candidate for therapeutic intervention in DbCM.

Indexed as

Diabetic CardiomyopathiesEpigenesis, GeneticAmino Acids, Branched-ChainAnimalsKruppel-Like Transcription FactorsMaleMetabolomeMetabolomicsMiceMultiomicsProteomicsAmino Acids, Branched-ChainKruppel-Like Transcription FactorsATAC-seqBCAAsDiabetic cardiomyopathyepigenomicsmetabolomicsmulti-omicsRNA-seq

Identifiers

PMID39623870
PMCPMC11727868

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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.