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Article

Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity

1
Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA
2
Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
3
Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
4
School of Computing, Clemson University, Clemson, SC 29634, USA
5
Department of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA
6
Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA
7
School of Nursing, University of California, Los Angeles, CA 90095, USA
8
West Coast Metabolomics Center, University of California, Davis, CA 95616, USA
*
Authors to whom correspondence should be addressed.
Metabolites 2022, 12(10), 960; https://doi.org/10.3390/metabo12100960
Submission received: 3 September 2022 / Revised: 24 September 2022 / Accepted: 5 October 2022 / Published: 11 October 2022
(This article belongs to the Special Issue Metabolic Profiles and Biomarkers in Pregnancy)

Abstract

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 metabolites at 32 weeks were individually associated with GWG, with four (phosphatidylcholine (PC) 34:4, triacylglycerol (TAG) 52:6, arachidonic acid, isoleucine) jointly associated with GWG (area under the receiver operating characteristic curve (AUC) for excessive GWG: 0.80, 95% CI: 0.67, 0.93). No correlations were observed between the 88 metabolites and insulin, C-peptide, and high-sensitivity C-reactive protein at 32 weeks. Twelve metabolites at baseline (AUC for excessive GWG: 0.80, 95% CI: 0.62, 0.99) and three metabolite changes (AUC for excessive GWG: 0.73, 95% CI: 0.44, 1.00) were jointly associated with GWG. We identified novel metabolites in the first and third trimesters associated with GWG, which may shed light on the pathophysiology of GWG.
Keywords: biomarkers; gestational weight gain; metabolomics; pregnancy; obesity; overweight biomarkers; gestational weight gain; metabolomics; pregnancy; obesity; overweight
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MDPI and ACS Style

Dai, J.; Boghossian, N.S.; Sarzynski, M.A.; Luo, F.; Sun, X.; Li, J.; Fiehn, O.; Liu, J.; Chen, L. Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity. Metabolites 2022, 12, 960. https://doi.org/10.3390/metabo12100960

AMA Style

Dai J, Boghossian NS, Sarzynski MA, Luo F, Sun X, Li J, Fiehn O, Liu J, Chen L. Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity. Metabolites. 2022; 12(10):960. https://doi.org/10.3390/metabo12100960

Chicago/Turabian Style

Dai, Jin, Nansi S. Boghossian, Mark A. Sarzynski, Feng Luo, Xiaoqian Sun, Jian Li, Oliver Fiehn, Jihong Liu, and Liwei Chen. 2022. "Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity" Metabolites 12, no. 10: 960. https://doi.org/10.3390/metabo12100960

APA Style

Dai, J., Boghossian, N. S., Sarzynski, M. A., Luo, F., Sun, X., Li, J., Fiehn, O., Liu, J., & Chen, L. (2022). Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity. Metabolites, 12(10), 960. https://doi.org/10.3390/metabo12100960

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