Integrated Bioinformatics Analysis Reveals the Aberrantly Methylated Differentially Expressed Genes in Dilated Cardiomyopathy

被引:0
|
作者
Li, Nana [1 ,2 ,3 ]
Wang, Jinglin [1 ,2 ,3 ,4 ,5 ,6 ]
Wang, Xuhong [1 ,2 ,3 ]
Zha, Lingfeng [1 ,2 ,3 ]
机构
[1] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Dept Cardiol, Wuhan 430022, Peoples R China
[2] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Hubei Key Lab Biol Targeted Therapy, Wuhan 430022, Peoples R China
[3] Huazhong Univ Sci & Technol, Union Hosp, Tongji Med Coll, Hubei Prov Engn Res Ctr Immunol Diag & Therapy Ca, Wuhan 430022, Peoples R China
[4] Wuhan Univ, Dept Cardiol, Renmin Hosp, Wuhan 430060, Peoples R China
[5] Wuhan Univ, Cardiovasc Res Inst, Wuhan 430060, Peoples R China
[6] Hubei Key Lab Cardiol, Wuhan 430060, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
integrative bioinformatics analysis; dilated cardiomyopathy; epigenetics; DNA methylation; biomarker; DNA METHYLATION; HEART-FAILURE; R PACKAGE; DISEASE; INSIGHTS; BLOOD;
D O I
10.7150/ijms.92537
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Dilated cardiomyopathy (DCM) causes heart failure and sudden death. Epigenetics is crucial in cardiomyopathy susceptibility and progression; however, the relationship between epigenetics, particularly DNA methylation, and DCM remains unknown. Therefore, this study identified aberrantly methylated differentially expressed genes (DEGs) associated with DCM using bioinformatics analysis and characterized their clinical utility in DCM. DNA methylation expression profiles and transcriptome data from public datasets of human DCM and healthy control cardiac tissues were obtained from the Gene Expression Omnibus public datasets. Then an epigenome-wide association study was performed. DEGs were identified in both DCM and healthy control cardiac tissues. In total, 3,353 cytosine-guanine dinucleotide sites annotated to 2,818 mRNAs were identified, and 479 DCM-related genes were identified. Subsequently, core genes were screened using logistic, least absolute shrinkage and selection operator, random forest, and support vector machine analyses. The overlapping of these genes resulted in DEGs with abnormal methylation patterns. Cross-tabulation analysis identified 8 DEGs with abnormal methylation. Real-time quantitative polymerase chain reaction confirmed the expression of aberrantly methylated DEGs in mice. In DCM murine cardiac tissues, the expressions of SLC16A9, SNCA, PDE5A, FNDC1, and HTRA1 were higher compared to normal murine cardiac tissues. Moreover, logistic regression model associated with aberrantly methylated DEGs was developed to evaluate the diagnostic value, and the area under the receiver operating characteristic curve was 0.949, indicating that the diagnostic model could reliably distinguish DCM from non-DCM samples. In summary, our study identified 5 DEGs through integrated bioinformatic analysis and in vivo experiments, which could serve as potential targets for further comprehensive investigation.
引用
收藏
页码:1769 / 1782
页数:14
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