Evidence map›Paper›PMID 42881441›Full record

ArticleBMC cardiovascular disorders2026

Multi-omics profiling reveals coordinated metabolic and immuno-inflammatory remodeling in a high-fat diet and single-dose streptozotocin-induced mouse model of diabetic cardiomyopathy.

Feng Zhang, Chunbo Ai, Hao Zhang, Xiaoqiang Sun, Li Wang, Chao Li, Wei Cai, Xuemei Yin, Yanxin Wang, Yanwei Li and 2 more

Abstract read
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Article in BMC cardiovascular disorders, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Feng ZhangFirst Central Hospital of Tianjin Medical University, Tianjin Medical University, Tianjin, 300070, China.ORCID http://orcid.org/0009-0001-0217-7323
Chunbo AiDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Scottsdale, AZ, 85259, USA.
Hao ZhangFirst Central Hospital of Tianjin Medical University, Tianjin Medical University, Tianjin, 300070, China.
Xiaoqiang SunDepartment of Cardiology, Tianjin First Central Hospital, Tianjin, 300192, China.
Li WangDepartment of Cardiology, Tianjin First Central Hospital, Tianjin, 300192, China.
Chao LiDepartment of Cardiology, Tianjin First Central Hospital, Tianjin, 300192, China.
Wei CaiInstitute of Cardiovascular Disease, Characteristic Medical Center of People's Armed Police Force, Tianjin, 300000, China.
Xuemei YinDepartment of Cardiology, Tianjin First Central Hospital, Tianjin, 300192, China.
Yanxin WangFirst Central Hospital of Tianjin Medical University, Tianjin Medical University, Tianjin, 300070, China.
Yanwei LiChronic Disease Management Center, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, Liaoning, 121001, China.
Chengzhi LuFirst Central Hospital of Tianjin Medical University, Tianjin Medical University, Tianjin, 300070, China. 5020200072@nankai.edu.cn.ORCID http://orcid.org/0000-0002-4546-6395
Zhuqing LiDepartment of Cardiology, Tianjin First Central Hospital, Tianjin, 300192, China. dinger326@126.com.ORCID http://orcid.org/0000-0001-8349-1156

Funding

National Natural Science Foundation of China 82300445Research Plan Project of Hebei Provincial Administration of Traditional Chinese Medicine T2025011the Incubation Fund of Tianjin First Central Hospital 2025FYMS02the Medical Health Science and Technology Project of Tianjin Municipal Health Commission TJWJ2023QN026the Medical Health Science and Technology Project of Tianjin Municipal Health Commission TJWJ2023XK011the National Natural Science Foundation of China 82470294the Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-054B
6 · The paper itself

Abstract

backgroundDiabetic cardiomyopathy (DCM) is a major myocardial complication of type 2 diabetes and a contributor to heart failure. However, coordinated remodeling across the cardiac transcriptome, proteome and metabolome in DCM remains incompletely defined.

methodsType 2 diabetes was induced in mice by a high-fat diet combined with single-dose streptozotocin. DCM was characterized by echocardiography, histology, transmission electron microscopy, and systemic metabolic and inflammatory assessments. Left ventricular myocardium underwent RNA sequencing, quantitative proteomics and untargeted metabolomics, followed by integrated pathway and network analyses. Selected pathways were further examined by biochemical assays, with additional evaluation of mitochondrial injury and cGAS-STING signaling.

resultsDiabetic mice developed systolic and diastolic dysfunction with ventricular remodeling, interstitial fibrosis, mitochondrial ultrastructural damage, insulin resistance, and heightened systemic and myocardial inflammation. Transcriptomic and proteomic profiling revealed concordant suppression of sarcomeric organization, calcium handling, and mitochondrial oxidative metabolism, indicating downregulation of a contraction-calcium-mitochondrial energetics axis. Metabolomics showed reduced pyruvate-linked intermediates and enrichment of pentose phosphate, nucleotide and glutathione-related metabolites, consistent with diversion of central carbon flux from mitochondrial oxidation toward redox and biosynthetic programs. Across all three omics layers, phospholipid-choline metabolism emerged as a remodeled hub connecting central carbon pathways with complement, cell adhesion and inflammatory signaling. Increased cGAS-STING activity in DCM myocardium further linked mitochondrial injury to innate immune activation.

conclusionsIntegrated multi-omics analysis reveals coordinated remodeling across mitochondrial function, metabolism, inflammation, and fibrosis in experimental DCM. Alterations in phospholipid-choline metabolism, pentose phosphate and central carbon pathways, cGAS-STING signaling, and the contraction-calcium-mitochondrial module were concurrently observed and collectively characterize the molecular landscape of diabetic cardiomyopathy. These findings provide a framework for future mechanistic studies and may help identify candidate biomarkers and potential therapeutic pathways for further investigation.

Indexed as

Diabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2Diabetic CardiomyopathiesDiet, High-FatEnergy MetabolismGene Expression ProfilingInflammation MediatorsMetabolomeMetabolomicsMyocardiumProteomicsTranscriptomeVentricular RemodelingAnimalscGAS-STING Signaling PathwayCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthasecGAS protein, mouseCyclic Guanosine Monophosphate-Adenosine Monophosphate SynthaseInflammation MediatorsMembrane ProteinsNucleotidyltransferasesSting1 protein, mouseSTING ProteinStreptozocincGAS–STING pathwayDiabetic cardiomyopathyMitochondrial dysfunctionMulti-omics integrationPhospholipid-choline metabolism

Identifiers

PMID42881441
PMCPMC13670706

What Socratic holds

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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 Socratic graph.