Circulating long non-coding RNAs as predictors of type 2 diabetes mellitus development: results from the CORDIOPREV study
Authors' conclusion
Circulating lncRNAs, particularly integrated into an epigenetic score, represent promising predictive biomarkers for T2DM development. The interaction with dietary intervention-especially the Mediterranean diet-supports their potential use in guiding personalized dietary strategies for T2DM prevention in high-risk populations.
Study context
- Population
- Non-diabetic participants of the CORDIOPREV study, followed 5 years under Mediterranean or low-fat diet interventions; 22 circulating long non-coding RNAs (lncRNAs) quantified by qPCR
- Participants
- 462 participants
- Exposure
- Model of 4 lncRNAs plus clinical variables vs models with HbA1c or clinical variables alone
- Outcome
- T2D incidence
- Follow-up
- 5 years
Methodological detailsbiomarker prediction analysis within the CORDIOPREV study, 5-year follow-up, Mediterranean or low-fat diet interventions, random forest and machine learning methods
- Biomarker prediction analysis within the CORDIOPREV study
- 5-year follow-up
- Mediterranean or low-fat diet interventions
- Random forest and machine learning methods
Main finding
As reported in the abstract
Prediction of T2D incidence
- AUC of lncRNAs combined with clinical variables
- 0.730
- Improvement vs model with HbA1c
- p = 0.015
- Improvement vs clinical variables alone
- p < 0.001
Observational data: associations, not effects.
Further findings
Lower lncRNA score and risk of developing T2D
- HR (lower lncRNA score)
- 0.37 (0.24-0.59), p < 0.001
lncRNA score and disposition index, Mediterranean diet
- Inverse correlation, r
- - 0.18, p = 0.009
Original publication
Circulating long non-coding RNAs as predictors of type 2 diabetes mellitus development: results from the CORDIOPREV study. Cardiovasc Diabetol. Published 8 December 2025. doi:10.
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