Evidence map›Paper›PMID 41121125›Full record

ArticleJournal of translational medicine2025

Bridging metabolism and immuno-inflammation: a novel framework to characterize dilated cardiomyopathy subtype.

Cheng Yu, Changhu Liu, Bingjun Liu, Jiaying Feng, Yichen Deng, Jing Yuan

Abstract read
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Article in Journal of translational medicine, 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

6 authors.

Cheng Yu *Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Changhu Liu *Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Bingjun LiuDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Jiaying FengDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yichen DengDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Jing YuanDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. yhelen13@163.com.

Funding

National Natural Science Foundation of China 82470368Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0504600
6 · The paper itself

Abstract

backgroundThe heterogeneous subtypes in dilated cardiomyopathy (DCM) are poorly characterized, thus posing challenges to risk stratification. This study aimed to establish a DCM subtype framework based on metabolic and immunoinflammatory factors.

methodsDCM subtypes were identified using unsupervised clustering based on the expression patterns of metabolism-related genes in the left ventricular myocardium of 89 DCM patients. By comparing metabolic pathways, clinical characteristics, immune cell infiltration, inflammatory responses, and immunotherapy efficacy between the subtypes, key metabolic genes were identified through correlation analysis and validated at both bulk and single-cell levels. The alterations in gene expression were verified using the DCM mouse model. Molecular docking was performed to assess the binding affinity between the target protein and potential therapeutic small molecules.

resultsTwo subtypes were identified; subtypes 1 and 2 were characterized by increased amino acid metabolism and decreased glucose and energy-related metabolisms, respectively. Subtype 2 displayed worse left ventricular structure and function, higher levels of immune and inflammatory activity, and a more favorable response to immunotherapy. The integrative analysis identified DHRS7C as a key regulator of glucose/energy metabolism; its expression was inversely correlated with left ventricular impairment. The DCM mice showed downregulated DHRS7C expression, which positively correlated with cardiac dysfunction. Additionally, molecular docking identified 17beta-estradiol as a potential therapeutic agent targeting DHRS7C.

conclusionsThis study suggested two heterogeneous DCM subtypes with different metabolic and immunoinflammatory profiles. Furthermore, DHRS7C was inversely correlated with DCM indices and could be targeted by 17beta-estradiol.

Indexed as

Cardiomyopathy, DilatedInflammationAnimalsCluster AnalysisFemaleGene Expression RegulationHumansImmunotherapyMaleMiceMice, Inbred C57BLMiddle AgedMolecular Docking SimulationMyocardiumDHRS7CDilated cardiomyopathyHeterogeneous subtypesImmunoinflammatory responseMetabolism

Identifiers

PMID41121125
PMCPMC12538739

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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.