Elucidating the Histone Deacetylase Gene Expression Signatures in Peripheral Blood Mononuclear Cells That Correlate Essential Cardiac Function and Aid in Classifying Coronary Artery Disease through a Logistic Regression Model

A proinflammatory role of <i>HDACs</i> has been implicated in the pathogenesis of atherosclerosis as an emerging novel epigenetic diagnostic biomarker. However, its association with the clinical and cardiovascular function in coronary artery disease is largely unknown. The study aimed to...

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Bibliographic Details
Main Authors: K. Monisha, S. Mahema, M. Chokkalingam, Sheikh F. Ahmad, Talha Bin Emran, Paramasivam Prabu, Shiek S. S. J. Ahmed
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Biomedicines
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Online Access:https://www.mdpi.com/2227-9059/11/11/2952
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Summary:A proinflammatory role of <i>HDACs</i> has been implicated in the pathogenesis of atherosclerosis as an emerging novel epigenetic diagnostic biomarker. However, its association with the clinical and cardiovascular function in coronary artery disease is largely unknown. The study aimed to profile the gene expression of <i>HDAC1</i>–<i>11</i> in human peripheral blood mononuclear cells and to evaluate their influence on hematological, biochemical, and two-dimensional echocardiographic indices in CAD. The <i>HDAC</i> gene expression profiles were assessed in 62 angioproven CAD patients and compared with 62 healthy controls. Among the <i>HDACs</i>, upregulated <i>HDACs 1,2</i>, <i>4</i>, <i>6</i>, <i>8</i>, <i>9</i>, and <i>11</i> were upregulated, and <i>HDAC3</i> was downregulated, which was significantly (<i>p</i> ≤ 0.05) linked with the hematological (basophils, lymphocytes, monocytes, and neutrophils), biochemical (LDL, HDL, and TGL), and echocardiographic parameters (cardiac function: biplane LVEF, GLS, MV E/A, IVRT, and PV S/D) in CAD. Furthermore, our constructed diagnostic model with the crucial <i>HDACs</i> establishes the most crucial <i>HDACs</i> in the classification of CAD from control with an excellent accuracy of 88.6%. Conclusively, our study has provided a novel perspective on the <i>HDAC</i> gene expression underlying cardiac function that is useful in developing molecular methods for CAD diagnosis.
ISSN:2227-9059