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Published on: December 21, 2016
Blood-Based DNA Methylation Models Improve Short-term Cardiovascular Risk Stratification in Individuals With Type 2
Michele Longo1, Antonella Desiderio1, Maria Masulli2
1Department of Translational Medicine, Federico II University of Naples, Naples, Italy.
Diabetes Care
|July 16, 2026
Summary
Blood DNA methylation biomarkers show promise for improving cardiovascular risk stratification in type 2 diabetes mellitus (T2DM). These novel DNAm models can help identify T2DM patients at higher risk for major adverse cardiovascular events (MACE).
Area of Science:
- Epigenetics
- Cardiovascular Medicine
- Diabetes Research
Background:
- Cardiovascular complications are a primary cause of mortality in type 2 diabetes mellitus (T2DM).
- Accurate risk stratification for major adverse cardiovascular events (MACE) is crucial for managing T2DM patients.
Purpose of the Study:
- To evaluate the utility of blood-based DNA methylation (DNAm) biomarkers for enhancing MACE risk stratification in individuals with T2DM.
- To develop and validate DNAm-based models for predicting short-term MACE risk.
Main Methods:
- Epigenome-wide DNAm profiling was conducted on peripheral blood mononuclear cells from 305 T2DM participants.
- Differential DNAm analyses were performed using five distinct analytical frameworks.
- Binomial LASSO logistic regression with stability selection was employed to build DNAm-based risk models.
Main Results:
- Over 7,000 differentially methylated CpG sites were identified across analytical frameworks.
- Five DNAm models were developed, each utilizing 22-26 CpG predictors.
- Models demonstrated high discriminative performance in an internal test cohort, with AUC values up to 0.937 and AUPRC values up to 0.940.
Conclusions:
- Generated DNAm-based models show potential for improving short-term cardiovascular risk stratification in T2DM.
- These biomarkers offer a promising avenue for refining the identification of T2DM individuals at elevated MACE risk.
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