Evidence map›Paper›PMID 42032731›Full record

ArticleJournal of cardiothoracic surgery2026

A new insight of hypertrophic cardiomyopathy: integrated analysis of differentially expressed genes, expression quantitative trait loci, and mendelian randomization.

Yaozong Guan, Huai Wang, Huanjie Huang, Dongyan Liang, Tang Zhang, Hao Liu

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Article in Journal of cardiothoracic surgery, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yaozong Guan *Department of Cardiology, The Second Affiliated Hospital of Guangxi Medical University, No.166, Daxue Dong Road, Nanning, 530007, Guangxi, Republic of China.
Huai Wang *Department of Cardiology, The Second Affiliated Hospital of Guangxi Medical University, No.166, Daxue Dong Road, Nanning, 530007, Guangxi, Republic of China.
Huanjie HuangDepartment of Cardiology, The Second Affiliated Hospital of Guangxi Medical University, No.166, Daxue Dong Road, Nanning, 530007, Guangxi, Republic of China.
Dongyan LiangDepartment of Cardiology, The Second Affiliated Hospital of Guangxi Medical University, No.166, Daxue Dong Road, Nanning, 530007, Guangxi, Republic of China.
Tang ZhangDepartment of Cardiology, The Second Affiliated Hospital of Guangxi Medical University, No.166, Daxue Dong Road, Nanning, 530007, Guangxi, Republic of China. zhangtang20040200@163.com.
Hao LiuDepartment of Cardiology, The Second Affiliated Hospital of Guangxi Medical University, No.166, Daxue Dong Road, Nanning, 530007, Guangxi, Republic of China. liuhaomd@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertrophic cardiomyopathy (HCM) has a genetic basis, with pathogenic variants identified in the majority of familial cases and unclear mechanism. This study aimed to identify the genetic contributors underlying HCM pathogenesis and to identify novel genetic targets of HCM via integrated analysis of microarray datasets.

methodsThree independent HCM datasets were used for comprehensive analysis by using R software. Differentially expressed genes (DEGs) between HCM and control, expression quantitative trait loci (eQTL) analysis, and Two-Sample Mendelian Randomization (TSMR) analyses were performed to identify the novel genes. CIBERSORT was utilized for immune cell infiltration analysis. Finally, the identified genes were verified, and their targeted drugs were explored.

resultsTSMR analysis revealed that four significantly HCM co-expressed genes, TNNT1, KCNK17, GADD45B, and CXCL6, were enriched in essential biological processes and pathways, including macrophage activation and neural system regulation. TNNT1 and CXCL6 genes were validated as the novel genes, enhancing the reliability of our findings. The candidate compounds with predicted binding affinity (Atorvastatin, Zearalenone, Cotinine, and S-1,2-Dichlorovinyl-N-acetylcysteine) were predicted and molecular docking was performed to evaluate the binding ability of the drug to the protein.

conclusionsThis study reveals a new molecular insight in the pathogenesis of HCM, highlighting TNNT1 and CXCL6 as candidate targets in specific molecular pathways for the interference of HCM.

Indexed as

Cardiomyopathy, HypertrophicMendelian Randomization AnalysisQuantitative Trait LociGene Expression ProfilingHumansBiomarkereQTL analysisHCMImmune cell infiltrationTSMR

Identifiers

PMID42032731
PMCPMC13262309

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