MicroRNAs Associated With Incident Diabetes in the Diabetes Prevention Program.

ABSTRACT:

Context

MicroRNAs (miRs) are short (ie, 18-26 nucleotide) regulatory elements of messenger RNA translation to amino acids.

Objective

The purpose of this study was to assess whether miRs are predictive of incident type 2 diabetes (T2D) in the Diabetes Prevention Program (DPP) trial.

Methods

This was a secondary analysis (n = 1000) of a subset of the DPP cohort that leveraged banked biospecimens to measure miRs. We used random survival forest and Lasso methods to identify the optimal miR predictors and the Cox proportional hazards to model time to T2D overall and within intervention arms.

Results

We identified 5 miRs (miR-144, miR-186, miR-203a, miR-205, miR-206) that constituted the optimal predictors of incident T2D after adjustment for covariates (hazard ratio

SUBMITTER: Flowers E 

PROVIDER: S-EPMC10188307 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature