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Nontargeted metabolomics reveals the potential mechanism underlying the association between birthweight and metabolic disturbances

AIMS: The aim of this study was to characterize the metabolites associated with small- and large-gestational-age newborns in maternal and cord blood, and to investigate potential mechanisms underlying the association between birthweight and metabolic disturbances. RESEARCH DESIGN AND METHODS: We rec...

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Autores principales: Zhai, Xiao, Liu, Jieying, Yu, Miao, Zhang, Qian, Li, Ming, Zhao, Nan, Liu, Juntao, Song, Yingna, Ma, Liangkun, Li, Rongrong, Qiao, Zongxu, Zhao, Guifen, Wang, Ruiping, Xiao, Xinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830726/
https://www.ncbi.nlm.nih.gov/pubmed/36624413
http://dx.doi.org/10.1186/s12884-023-05346-6
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author Zhai, Xiao
Liu, Jieying
Yu, Miao
Zhang, Qian
Li, Ming
Zhao, Nan
Liu, Juntao
Song, Yingna
Ma, Liangkun
Li, Rongrong
Qiao, Zongxu
Zhao, Guifen
Wang, Ruiping
Xiao, Xinhua
author_facet Zhai, Xiao
Liu, Jieying
Yu, Miao
Zhang, Qian
Li, Ming
Zhao, Nan
Liu, Juntao
Song, Yingna
Ma, Liangkun
Li, Rongrong
Qiao, Zongxu
Zhao, Guifen
Wang, Ruiping
Xiao, Xinhua
author_sort Zhai, Xiao
collection PubMed
description AIMS: The aim of this study was to characterize the metabolites associated with small- and large-gestational-age newborns in maternal and cord blood, and to investigate potential mechanisms underlying the association between birthweight and metabolic disturbances. RESEARCH DESIGN AND METHODS: We recorded detailed anthropometric data of mother-offspring dyads. Untargeted metabolomic assays were performed on 67 pairs of cord blood and maternal fasting plasma samples including 16 pairs of small-for-gestational (SGA, < 10th percentile) dyads, 28 pairs of appropriate-for-gestational (AGA, approximate 50 percentile) dyads, and 23 pairs of large-for-gestational (LGA, > 90th percentile) dyads. The association of metabolites with newborn birthweight was conducted to screen for metabolites with U-shaped and line-shaped distributions. The association of metabolites with maternal and fetal phenotypes was also performed. RESULTS: We found 2 types of metabolites that changed in different patterns according to newborn birthweight. One type of metabolite exhibited a “U-shaped” trend of abundance fluctuation in the SGA-AGA-LGA groups. The results demonstrated that cuminaldehyde level was lower in the SGA and LGA groups, and its abundance in cord blood was negatively correlated with maternal BMI (r = -0.352 p = 0.009) and weight gain (r = -0.267 p = 0.043). 2-Methoxy-estradiol-17b 3-glucuronide, which showed enrichment in the SGA and LGA groups, was positively correlated with homocysteine (r = 0.44, p < 0.001) and free fatty acid (r = 0.42, p < 0.001) in maternal blood. Serotonin and 13(S)-HODE were the second type of metabolites, denoted as “line-shaped”, which both showed increasing trends in the SGA-AGA-LGA groups in both maternal and cord blood and were both significantly positively correlated with maternal BMI before pregnancy. Moreover, cuminaldehyde, serotonin, 13(S)-HODE and some lipid metabolites showed a strong correlation between maternal and cord blood. CONCLUSIONS: These investigations demonstrate broad-scale metabolomic differences associated with newborn birthweight in both pregnant women and their newborns. The U-shaped metabolites associated with both the SGA and LGA groups might explain the U-shaped association between birthweight and metabolic dysregulation. The line-shaped metabolites might participate in intrauterine growth regulation. These observations might help to provide new insights into the insulin resistance and the risk of metabolic disturbance of SGA and LGA babies in adulthood and might identify potential new markers for adverse newborn outcomes in pregnant women. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05346-6.
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spelling pubmed-98307262023-01-11 Nontargeted metabolomics reveals the potential mechanism underlying the association between birthweight and metabolic disturbances Zhai, Xiao Liu, Jieying Yu, Miao Zhang, Qian Li, Ming Zhao, Nan Liu, Juntao Song, Yingna Ma, Liangkun Li, Rongrong Qiao, Zongxu Zhao, Guifen Wang, Ruiping Xiao, Xinhua BMC Pregnancy Childbirth Research AIMS: The aim of this study was to characterize the metabolites associated with small- and large-gestational-age newborns in maternal and cord blood, and to investigate potential mechanisms underlying the association between birthweight and metabolic disturbances. RESEARCH DESIGN AND METHODS: We recorded detailed anthropometric data of mother-offspring dyads. Untargeted metabolomic assays were performed on 67 pairs of cord blood and maternal fasting plasma samples including 16 pairs of small-for-gestational (SGA, < 10th percentile) dyads, 28 pairs of appropriate-for-gestational (AGA, approximate 50 percentile) dyads, and 23 pairs of large-for-gestational (LGA, > 90th percentile) dyads. The association of metabolites with newborn birthweight was conducted to screen for metabolites with U-shaped and line-shaped distributions. The association of metabolites with maternal and fetal phenotypes was also performed. RESULTS: We found 2 types of metabolites that changed in different patterns according to newborn birthweight. One type of metabolite exhibited a “U-shaped” trend of abundance fluctuation in the SGA-AGA-LGA groups. The results demonstrated that cuminaldehyde level was lower in the SGA and LGA groups, and its abundance in cord blood was negatively correlated with maternal BMI (r = -0.352 p = 0.009) and weight gain (r = -0.267 p = 0.043). 2-Methoxy-estradiol-17b 3-glucuronide, which showed enrichment in the SGA and LGA groups, was positively correlated with homocysteine (r = 0.44, p < 0.001) and free fatty acid (r = 0.42, p < 0.001) in maternal blood. Serotonin and 13(S)-HODE were the second type of metabolites, denoted as “line-shaped”, which both showed increasing trends in the SGA-AGA-LGA groups in both maternal and cord blood and were both significantly positively correlated with maternal BMI before pregnancy. Moreover, cuminaldehyde, serotonin, 13(S)-HODE and some lipid metabolites showed a strong correlation between maternal and cord blood. CONCLUSIONS: These investigations demonstrate broad-scale metabolomic differences associated with newborn birthweight in both pregnant women and their newborns. The U-shaped metabolites associated with both the SGA and LGA groups might explain the U-shaped association between birthweight and metabolic dysregulation. The line-shaped metabolites might participate in intrauterine growth regulation. These observations might help to provide new insights into the insulin resistance and the risk of metabolic disturbance of SGA and LGA babies in adulthood and might identify potential new markers for adverse newborn outcomes in pregnant women. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05346-6. BioMed Central 2023-01-09 /pmc/articles/PMC9830726/ /pubmed/36624413 http://dx.doi.org/10.1186/s12884-023-05346-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhai, Xiao
Liu, Jieying
Yu, Miao
Zhang, Qian
Li, Ming
Zhao, Nan
Liu, Juntao
Song, Yingna
Ma, Liangkun
Li, Rongrong
Qiao, Zongxu
Zhao, Guifen
Wang, Ruiping
Xiao, Xinhua
Nontargeted metabolomics reveals the potential mechanism underlying the association between birthweight and metabolic disturbances
title Nontargeted metabolomics reveals the potential mechanism underlying the association between birthweight and metabolic disturbances
title_full Nontargeted metabolomics reveals the potential mechanism underlying the association between birthweight and metabolic disturbances
title_fullStr Nontargeted metabolomics reveals the potential mechanism underlying the association between birthweight and metabolic disturbances
title_full_unstemmed Nontargeted metabolomics reveals the potential mechanism underlying the association between birthweight and metabolic disturbances
title_short Nontargeted metabolomics reveals the potential mechanism underlying the association between birthweight and metabolic disturbances
title_sort nontargeted metabolomics reveals the potential mechanism underlying the association between birthweight and metabolic disturbances
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830726/
https://www.ncbi.nlm.nih.gov/pubmed/36624413
http://dx.doi.org/10.1186/s12884-023-05346-6
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