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Metabolome-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/m(2). U...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609233/ https://www.ncbi.nlm.nih.gov/pubmed/36295862 http://dx.doi.org/10.3390/metabo12100960 |
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author | Dai, Jin Boghossian, Nansi S. Sarzynski, Mark A. Luo, Feng Sun, Xiaoqian Li, Jian Fiehn, Oliver Liu, Jihong Chen, Liwei |
author_facet | Dai, Jin Boghossian, Nansi S. Sarzynski, Mark A. Luo, Feng Sun, Xiaoqian Li, Jian Fiehn, Oliver Liu, Jihong Chen, Liwei |
author_sort | Dai, Jin |
collection | PubMed |
description | 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/m(2). 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. |
format | Online Article Text |
id | pubmed-9609233 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96092332022-10-28 Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity Dai, Jin Boghossian, Nansi S. Sarzynski, Mark A. Luo, Feng Sun, Xiaoqian Li, Jian Fiehn, Oliver Liu, Jihong Chen, Liwei Metabolites Article 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/m(2). 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. MDPI 2022-10-11 /pmc/articles/PMC9609233/ /pubmed/36295862 http://dx.doi.org/10.3390/metabo12100960 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dai, Jin Boghossian, Nansi S. Sarzynski, Mark A. Luo, Feng Sun, Xiaoqian Li, Jian Fiehn, Oliver Liu, Jihong Chen, Liwei Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity |
title | Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity |
title_full | Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity |
title_fullStr | Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity |
title_full_unstemmed | Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity |
title_short | Metabolome-Wide Associations of Gestational Weight Gain in Pregnant Women with Overweight and Obesity |
title_sort | metabolome-wide associations of gestational weight gain in pregnant women with overweight and obesity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609233/ https://www.ncbi.nlm.nih.gov/pubmed/36295862 http://dx.doi.org/10.3390/metabo12100960 |
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