MicroRNAs Associated With Incident Diabetes in the Diabetes Prevention Program
Authors' conclusion
We identified 5 miRs that are optimal predictors of incident T2D in the DPP cohort. Future directions include validation of this finding in an independent sample in order to determine whether this risk score may have potential clinical utility for risk stratification of individuals with prediabetes, and functional analysis of the potential genes and pathways targeted by the miRs that were included in the risk score.
Study context
- Population
- Subset of the Diabetes Prevention Program (DPP) cohortDPP subset
- Participants
- 1,000 participants
- Comparison
- Predictive value of microRNAs (miRs) for incident T2D
- Primary endpoint
- Time to incident T2D
Methodological detailsbanked biospecimens, random survival forest and Lasso, Cox proportional hazards, cross-validation
- Banked biospecimens
- Random survival forest and Lasso
- Cox proportional hazards
- Cross-validation
Primary result
As reported in the abstract
Incident T2D: 5-miR optimal predictors (miRs (miR-144), miR-186, miR-203a, miR-205, miR-206)
HR for incident T2D, 5 miRs, covariate-adjusted
2.81
95% CI 2.05, 3.87P < .001
Further findings
| Outcome | HR (95% CI) | P value | |
|---|---|---|---|
| Predictive risk score after cross-validation: highestvs lowest quartileCross-validation | 5.91 (2.02–17.3) | P < 0.001 | |
| Interaction with intervention arm vs placeboIntensive lifestylevs PlaceboSignificant interaction | 3.60 (2.50–5.18) | P < 0.001 | |
| Interaction with intervention arm vs placeboMetforminvs PlaceboSignificant interaction | 2.72 (1.47–5.00) | P = 0.001 | |
| 0.050.21520Hazard ratio (log scale) |
Gene targets
- miRs targeting a gene with prior known association with T2D risk (of 5)
- 1
Original publication
MicroRNAs Associated With Incident Diabetes in the Diabetes Prevention Program. J Clin Endocrinol Metab. Published 8 December 2022. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →