Unmasking subclinical cardiac dysfunction in type 2 diabetes through genetic and epigenetic profiling
Year: 2026
Type: article
Abstract: Background Diabetic Cardiomyopathy (DiabCM) develops in patients with Type-2-Diabetes Mellitus (T2D) and is characterized by cardiac dysfunction independent of ischemic heart disease or systemic hypertension. Its underlying mechanisms remain poorly defined with likely genetic and non-genetic mechanisms including epigenetic modifications. Combining T2D-derived polygenic risk scores (PRS) and methylation risk scores (MRS) with key clinical characteristics may aid risk stratification for myocardial dysfunction among patients with T2D. Methods We analyzed 173 deeply phenotyped participants from the CARDIATEAM discovery study, grouping them by the severity of myocardial dysfunction determined by echocardiography. Both PRS and MRS show significantly different distribution between severity groups ( p -value = 0.02 and 1.29e-05, respectively) with significant odds ratios (ORs) at ≥ 80th and ≥ 90th percentiles: PRS (2.23 [95%CI 1.03–4.92] and 2.82 [95%CI 1.02–8.34]), and MRS (4.52 [95%CI 2.01–10.83] and 3.49 [95%CI 1.22–11.02]) respectively. Combining individuals with PRS and MRS above the 80th percentile showed a higher OR (6.48). The combined PRS + MRS model demonstrated the best discriminative ability (AUC = 0.753), while the interaction model did not enhance performance (AUC = 0.752). Results Adding PRS and MRS to ten baseline covariates (age, sex and eight cardiometabolic variables) slightly increased bootstrap-validated sensitivity/specificity, from 0.819/0.878 to 0.827/0.885. MRS increased step-wise from non-diabetic low-risk to diabetic high-risk clusters, whereas PRS primarily distinguished diabetic from non-diabetic status. Exploratory pathway analysis of MRS-mapped genes identified enrichment for phosphatase signalling and oxidative-stress pathways implicated in diabetic cardiomyopathy. Conclusions This study provides proof-of-concept evidence that integrating T2D-derived polygenic and methylation risk scores with detailed clinical phenotyping captures distinct biological information related to subclinical myocardial dysfunction. MRS showed stronger association, including after adjustment for clinical covariates and in sensitivity analyses restricted to individuals with T2D, whereas the PRS added limited discriminatory value within the T2D population. These findings are exploratory and require validation in larger independent cohorts.
Source: Cardiovascular Diabetology
Authors: Cecilia di Primio, Khadija Sana Hafeez, Elisabetta Casalone, Rebecca Filomena, Miriam Rosselli, Alessia Russo, Alessandra Allione, Simonetta Guarrera, Bianca Riccardi, Paul Balfanz, Bart Jacobs, Yvan Devaux, Javier Bermejo, Stephane Heymans, Benedicte Gaborit, Cyrille Bergerot, Florian Sohler, Robin Liechti, Olivier Martin, Josefina Lascano-Maillard, Mark Ibberson, Étienne Audureau, Rui Wang-Sattler, Chim C. Lang, Flora Sam, Geneviève Derumeaux, Giuseppe Matullo
Institutions: University of Turin, Italian institute for Genomic Medicine, Candiolo Cancer Institute, Inserm, Université Paris-Est Créteil, Assistance Publique – Hôpitaux de Paris, Hôpitaux Universitaires Henri-Mondor, Institut Mondor de Recherche Biomédicale, Centre Hospitalier Universitaire Henri-Mondor, RWTH Aachen University, Universitair Ziekenhuis Leuven, KU Leuven, Luxembourg Institute of Health, Universidad Complutense de Madrid, Hospital General Universitario Gregorio Marañón, Centro de Investigación en Red en Enfermedades Cardiovasculares, Instituto de Investigación Sanitaria Gregorio Marañón, Maastricht University, ERN GUARD-Heart, Aix-Marseille Université, Assistance Publique Hôpitaux de Marseille, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Hospices Civils de Lyon, Bayer (Germany), SIB Swiss Institute of Bioinformatics, Helmholtz Munich, University of Dundee, Boston University, Eli Lilly (United States), Azienda Ospedaliera Citta' della Salute e della Scienza di Torino
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,290
Funder: Innovative Medicines Initiative
OpenAlex ID: W7203635838
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