Predictive Metabolomic Markers in Early to Mid-pregnancy for Gestational Diabetes Mellitus: A Prospective Test and Validation Study

Autor: Yeyi Zhu, Dinesh K. Barupal, Amanda L. Ngo, Charles P. Quesenberry, Juanran Feng, Oliver Fiehn, Assiamira Ferrara
Rok vydání: 2021
Předmět:
Zdroj: Diabetes. 71(8)
ISSN: 1939-327X
Popis: Gestational diabetes mellitus (GDM) predisposes pregnant individuals to perinatal complications and long-term diabetes and cardiovascular diseases. We developed and validated metabolomic markers for GDM in a prospective test-validation study. In a case-control sample within the PETALS cohort (GDM n = 91 and non-GDM n = 180; discovery set), a random PETALS subsample (GDM n = 42 and non-GDM n = 372; validation set 1), and a case-control sample within the GLOW trial (GDM n = 35 and non-GDM n = 70; validation set 2), fasting serum untargeted metabolomics were measured by gas chromatography/time-of-flight mass spectrometry. Multivariate enrichment analysis examined associations between metabolites and GDM. Ten-fold cross-validated LASSO regression identified predictive metabolomic markers at gestational weeks (GW) 10–13 and 16–19 for GDM. Purinone metabolites at GW 10–13 and 16–19 and amino acids, amino alcohols, hexoses, indoles, and pyrimidine metabolites at GW 16–19 were positively associated with GDM risk (false discovery rate
Databáze: OpenAIRE