biostudies-literatureUnknown12(10)Dai JExcessive gestational weight gain (GWG) is associated with adverse pregnancy outcomes. This metabolome-wide association study aimed to identify metabolomic markers for GWG. This longitudinal study included 39 Black and White pregnant women with a prepregnancy body mass index (BMI) of ≥ 25 kg/m². Untargeted metabolomic profiling was performed using fasting plasma samples collected at baseline (mean: 12.1 weeks) and 32 weeks of gestation. The associations of metabolites at each time point and changes between the two time points with GWG were examined by linear and least absolute shrinkage and selection operator (LASSO) regression analyses. Pearson correlations between the identified metabolites and cardiometabolic biomarkers were examined. Of the 769 annotated metabolites, 88 metaMetabolites960https://www.ebi.ac.uk/biostudies/studies/S-EPMC9609233biostudies-literatureMetabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity.PMC9609233Sarzynski MALiu JLi JFiehn OChen LLuo FSun XDai JBoghossian NSfalseMetabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity.Excessive gestational weight gain (GWG) is associated with adverse pregnancy outcomes. This metabolome-wide association study aimed to identify metabolomic markers for GWG. This longitudinal study included 39 Black and White pregnant women with a prepregnancy body mass index (BMI) of ≥ 25 kg/m². Untargeted metabolomic profiling was performed using fasting plasma samples collected at baseline (mean: 12.1 weeks) and 32 weeks of gestation. The associations of metabolites at each time point and changes between the two time points with GWG were examined by linear and least absolute shrinkage and selection operator (LASSO) regression analyses. Pearson correlations between the identified metabolites and cardiometabolic biomarkers were examined. Of the 769 annotated metabolites, 88 meta2022-01-01T00:00:00Z2022 Oct2025-04-03T21:30:00.846Z2025-04-03T21:30:00.846ZS-EPMC96092333629586210.3390/metabo12100960