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New research · Endocrinology
Diabetes care · 2d
Cohort studyDiabetes care · 2026

Blood-Based DNA Methylation Models Improve Short-term Cardiovascular Risk Stratification in Individuals With Type 2 Diabetes.

Michele Longo, Antonella Desiderio, Maria Masulli … Gregory A Raciti
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EndocrinologyCohort study

DNA methylation models accurately stratify cardiovascular risk in type 2 diabetes.

Blood-Based DNA Methylation Models Improve Short-term Cardiovascular Risk Stratification in Individuals With Type 2 Diabetes.

Michele Longo et al. · Diabetes care · 2026
Background

Cardiovascular complications are the leading cause of death in type 2 diabetes mellitus (T2DM).

Purpose

We investigated whether blood-based DNA methylation (DNAm) biomarkers could improve risk stratification for major adverse cardiovascular events (MACE) in individuals with T2DM.

Methods

Trial (TOSCA.

n = 305 T2DM participants
Results
to 0.937
how well the models predicted who would develop serious heart problems
n = 305 T2DM participants
More results

Differential DNAm analysis identified 23,839, 21,529, 21,500, 12,114, and 7,101 differentially methylated CpG sites across the five analytical frameworks.

LASSO logistic regression was used to develop five DNAm-based models.

Stability selection retained 22-26 CpG predictors per model.

More results

Several CpGs were independently associated with either increased or decreased risk of MACE, including 12 CpGs identified across all of the models.

“
Conclusion

The DNAm-based models we have generated may improve risk stratification for short-term cardiovascular events in individuals with T2DM, providing a promising approach to refine identification of those at increased risk of MACE.

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