CDK5R1, GSE1, HSPG2 and WDFY3 as indirect epigenetic‐sensitive genes in atrial fibrillation

Author:

Infante Teresa1ORCID,Pepin Mark E.23,Ruocco Antonio4,Trama Ugo5,Mauro Ciro4,Napoli Claudio1

Affiliation:

1. Department of Advanced Medical and Surgical Sciences (DAMSS) University of Campania “Luigi Vanvitelli” Naples Italy

2. Division of Internal Medicine, Department of Medicine Brigham and Women's Hospital, Harvard Medical School Boston Massachusetts USA

3. The Broad Institute of Harvard and MIT Cambridge Massachusetts USA

4. Cardiology Division “A. Cardarelli” Hospital Naples Italy

5. General Direction of Health Care & Regional Health System Coordination Drug & Device Politics, Campania Region Naples Italy

Abstract

AbstractBackgroundAlthough mounting evidence supports that aberrant DNA methylation occurs in the hearts of patients with atrial fibrillation (AF), noninvasive epigenetic characterization of AF has not yet been defined.MethodsWe investigated DNA methylome changes in peripheral blood CD4+ T cells isolated from 10 patients with AF relative to 11 healthy subjects (HS) who were enrolled in the DIANA clinical trial (NCT04371809) via reduced‐representation bisulfite sequencing (RRBS).ResultsAn atrial‐specific PPI network revealed 18 hub differentially methylated genes (DMGs), wherein ROC curve analysis revealed reasonable diagnostic performance of DNA methylation levels found within CDK5R1 (AUC = 0.76; p = 0.049), HSPG2 (AUC = 0.77; p = 0.038), WDFY3 (AUC = 0.78; p = 0.029), USP49 (AUC = 0.76; p = 0.049), GSE1 (AUC = 0.76; p = 0.049), AIFM1 (AUC = 0.76; p = 0.041), CDK5RAP2 (AUC = 0.81; p = 0.017), COL4A1 (AUC = 0.86; p < 0.001), SEPT8 (AUC = 0.90; p < 0.001), PFDN1 (AUC = 0.90; p < 0.01) and ACOT7 (AUC = 0.78; p = 0.032). Transcriptional profiling of the hub DMGs provided a significant overexpression of PSDM6 (p = 0.004), TFRC (p = 0.01), CDK5R1 (p < 0.001), HSPG2 (p = 0.01), WDFY3 (p < 0.001), USP49 (p = 0.004) and GSE1 (p = 0.021) in AF patients vs HS.ConclusionsCDK5R1, GSE1, HSPG2 and WDFY3 resulted the best discriminatory genes both at methylation and gene expression level. Our results provide several candidate diagnostic biomarkers with the potential to advance precision medicine in AF.

Funder

Ministero della Salute

Publisher

Wiley

Subject

Clinical Biochemistry,Biochemistry,General Medicine

Reference69 articles.

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4. Multiomics analysis of genetics and epigenetics reveals pathogenesis and therapeutic targets for atrial fibrillation;Liu L;Biomed Res Int,2021

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