First Trimester Plasma MicroRNA Levels Predict Risk of Developing Gestational Diabetes Mellitus.

ABSTRACT:

Aims

Our objective is to identify first-trimester plasmatic miRNAs associated with and predictive of GDM.

Methods

We quantified miRNA using next-generation sequencing in discovery (Gen3G: n = 443/GDM = 56) and replication (3D: n = 139/GDM = 76) cohorts. We have diagnosed GDM using a 75-g oral glucose tolerance test and the IADPSG criteria. We applied stepwise logistic regression analysis among replicated miRNAs to build prediction models.

Results

We identified 17 miRNAs associated with GDM development in both cohorts. The prediction performance of hsa-miR-517a-3p|hsa-miR-517b-3p, hsa-miR-218-5p, and hsa-let7a-3p was slightly better than GDM classic risk factors (age, BMI, familial history of type 2 diabetes, history of GDM or macrosomia, and HbA1c) (AUC 0.78 vs. 0.75)

SUBMITTER: Legare C 

PROVIDER: S-EPMC9693764 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature