Integrative Transcriptomic and Epigenomic Profiling for Signature Identification in Coronary Artery Disease: A Pilot Study

Coronary Artery Disease (CAD), mainly due to the progressive development of atherosclerotic plaques, is one of the world's leading causes of mortality and morbidity. A significant percentage of initial events (around 30%) remain fatal to this day despite significant advances in the diagnosis and treatment of cardiovascular diseases (CVDs). Early detection and risk stratification are therefore essential. In this study, we adopted a multi-omics approach integrating transcriptomic (RNA-seq) and epigenomic (ATAC-seq) profiling of peripheral blood mononuclear cells (PBMCs) from a cohort of individuals undergoing clinically indicated cardiac computed tomography angiography (CCTA) to uncover potential novel molecular markers of CAD. We identified 39 genes consistently dysregulated across all CAD subtypes. ATAC-seq analysis revealed distinct chromatin accessibility patterns at CAD-associated loci, with a predominance of quiescent and transcriptionally active states. Validation in an independent cohort confirmed the expression patterns of key Differentially Expressed Genes (DEGs), such as <i>Claudin 18 (CLDN18)</i>, supporting the robustness of our findings. Consequently, the integration of multi-omics data allowed us to identify a core gene signature and regulatory patterns associated with disease severity, offering potential biomarkers for clinical risk stratification in patients with CAD.

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Journal
International Journal of Molecular Sciences
Published
2025-10-27
DOI
https://doi.org/10.3390/ijms262110437
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Integrative Transcriptomic and Epigenomic Profiling for Signature Identification in Coronary Artery Disease: A Pilot Study

Andrea Soricelli, Katia Pane, Bruna Punzo, Carlo Cavaliere et al.
International Journal of Molecular Sciences
Single-cell and spatial transcriptomics
article

Integrative Transcriptomic and Epigenomic Profiling for Signature Identification in Coronary Artery Disease: A Pilot Study

Andrea Soricelli, Katia Pane, Bruna Punzo, Carlo Cavaliere, Danilo Neglia, Monica Franzese, Mario Zanfardino, Chiara Caselli, Ilaria Leone, Anna D’Agostino
article en

Abstract

Coronary Artery Disease (CAD), mainly due to the progressive development of atherosclerotic plaques, is one of the world's leading causes of mortality and morbidity. A significant percentage of initial events (around 30%) remain fatal to this day despite significant advances in the diagnosis and treatment of cardiovascular diseases (CVDs). Early detection and risk stratification are therefore essential. In this study, we adopted a multi-omics approach integrating transcriptomic (RNA-seq) and epigenomic (ATAC-seq) profiling of peripheral blood mononuclear cells (PBMCs) from a cohort of individuals undergoing clinically indicated cardiac computed tomography angiography (CCTA) to uncover potential novel molecular markers of CAD. We identified 39 genes consistently dysregulated across all CAD subtypes. ATAC-seq analysis revealed distinct chromatin accessibility patterns at CAD-associated loci, with a predominance of quiescent and transcriptionally active states. Validation in an independent cohort confirmed the expression patterns of key Differentially Expressed Genes (DEGs), such as <i>Claudin 18 (CLDN18)</i>, supporting the robustness of our findings. Consequently, the integration of multi-omics data allowed us to identify a core gene signature and regulatory patterns associated with disease severity, offering potential biomarkers for clinical risk stratification in patients with CAD.

International Journal of Molecular SciencesVol. 26(21)
Parthenope University of Naples (IT), Istituto di Fisiologia Clinica (IT), Fondazione Toscana Gabriele Monasterio (IT), Czech Academy of Sciences, Institute of Physiology (CZ)
Openalex Percentile: Top 72%
Single-cell and spatial transcriptomics
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