Evidence map›Paper›PMID 41790394›Full record

ArticleCurrent medical science2026

Screening and Functional Validation of Common Key Genes in Hypertrophic Cardiomyopathy and Ischemic Cardiomyopathy.

Ping Jiang, Kai-Shen Cao, Ya-Jiao Liu, Xiang Wang

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Article in Current medical science, 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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5 · Who and what money

Authors and funding

4 authors.

Ping JiangDepartment of Cardiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Kai-Shen CaoJiangxi Medical College, Nanchang University, Nanchang, China.
Ya-Jiao LiuDepartment of Health Management Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Xiang WangDepartment of Cardiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China. ndyfy10316@ncu.edu.cn.ORCID http://orcid.org/0000-0001-8148-4155

Funding

Natural Science Foundation of Jiangxi Province 20242BAB21039Special Scientific Research Project for Talent Introduction and Training of Jiangxi Provincial Health Commission 2026Y0026The National Natural Science Foundation of China 82400462The Youth Talent Research and Cultivation Fund of the First Affiliated Hospital of Nanchang University YFYPY202395
6 · The paper itself

Abstract

objectiveHypertrophic cardiomyopathy (HCM) and ischemic cardiomyopathy (ICM) are the most common main etiologies of heart failure (HF), which is also a leading cause of mortality and morbidity; however, the common mechanisms triggering the gradual progression and evolution of HF have not yet been fully elucidated. Hence, the purpose of this study focuses on the communal biological mechanisms involved, screening and functional validation of common key genes.

methodsThe gene expression profiles of HCMs (GSE36961, GSE160997) and ICMs (GSE5406, GSE26887) were downloaded from the Gene Expression Omnibus (GEO) database. After the common genes (CGs) were identified based on the intersection of the differentially expressed genes (DEGs) from the GSE36961 and GSE5406 datasets, pathway enrichment, functional annotation, protein‒protein interaction (PPI) network, hub gene identification, transcription factor (TF)-mRNA regulatory network and diagnostic efficiency evaluation were performed. In addition, the hub genes were verified with the GSE160977 and GSE26887 datasets. These findings ultimately validated the functional role of Bcl6 in both cellular and animal experiments.

resultsIn total, 88 CGs (54 downregulated genes and 34 upregulated genes) were screened for subsequent analyses. Functional annotation and pathway enrichment revealed the important role of angiogenesis in these two diseases. Seven important hub genes were identified, including MYC, STAT3, CEBPB, CEBPD, CDKN1A, BCL6 and MAP2K1. The TF-mRNA network revealed that BCL6, STAT3, MYC and CDKN1A were closely related and might coordinately participate in common biological pathogenesis. Receiver operating characteristic (ROC) curve analysis revealed that the hub genes had great value for clinical diagnostic efficiency. The ROC curve prediction revealed that the optimal indicator in HCM and ICM is the Bcl6 protein. Overexpression of Bcl6 ameliorates cardiac phenotypes in mouse models of both HCM and ICM.

conclusionsOur research revealed the common potential pathogenesis mechanism of HCM and ICM. The identification of these hub genes might provide novel directions for further treatment research, clinical diagnosis and treatment.

Indexed as

Cardiomyopathy, HypertrophicMyocardial IschemiaAnimalsDatabases, GeneticGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMiceProtein Interaction MapsProto-Oncogene Proteins c-bcl-6STAT3 Transcription FactorProto-Oncogene Proteins c-bcl-6STAT3 Transcription FactorBcl6Genetic analysisHeart failureHIF-1 signaling pathwayHub genesHypertrophic cardiomyopathyIschemic cardiomyopathy

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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.