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Metabolic dynamics and prediction of sFGR and adverse fetal outcomes: a prospective longitudinal cohort study

BACKGROUND: Selective fetal growth restriction (sFGR) is an extreme complication that significantly increases the risk of perinatal mortality and long-term adverse neurological outcomes in offspring, affecting approximately 15% of monochorionic diamniotic (MCDA) twin pregnancies. The lack of longitu...

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Autores principales: Huang, Nana, Chen, Wei, Jiang, Hai, Yang, Jing, Zhang, Youzhen, Shi, Huifeng, Wang, Ying, Yuan, Pengbo, Qiao, Jie, Wei, Yuan, Zhao, Yangyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666385/
https://www.ncbi.nlm.nih.gov/pubmed/37996847
http://dx.doi.org/10.1186/s12916-023-03134-9
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author Huang, Nana
Chen, Wei
Jiang, Hai
Yang, Jing
Zhang, Youzhen
Shi, Huifeng
Wang, Ying
Yuan, Pengbo
Qiao, Jie
Wei, Yuan
Zhao, Yangyu
author_facet Huang, Nana
Chen, Wei
Jiang, Hai
Yang, Jing
Zhang, Youzhen
Shi, Huifeng
Wang, Ying
Yuan, Pengbo
Qiao, Jie
Wei, Yuan
Zhao, Yangyu
author_sort Huang, Nana
collection PubMed
description BACKGROUND: Selective fetal growth restriction (sFGR) is an extreme complication that significantly increases the risk of perinatal mortality and long-term adverse neurological outcomes in offspring, affecting approximately 15% of monochorionic diamniotic (MCDA) twin pregnancies. The lack of longitudinal cohort studies hinders the early prediction and intervention of sFGR. METHODS: We constructed a prospective longitudinal cohort study of sFGR, and quantified 25 key metabolites in 337 samples from maternal plasma in the first, second, and third trimester and from cord plasma. In particular, our study examined fetal growth and brain injury data from ultrasonography and used the Ages and Stages Questionnaire-third edition subscale (ASQ-3) to evaluate the long-term neurocognitive behavioral development of infants aged 2–3 years. Furthermore, we correlated metabolite levels with ultrasound data, including physical development and brain injury indicators, and ASQ-3 data using Spearman’s-based correlation tests. In addition, special combinations of differential metabolites were used to construct predictive models for the occurrence of sFGR and fetal brain injury. RESULTS: Our findings revealed various dynamic patterns for these metabolites during pregnancy and a maximum of differential metabolites between sFGR and MCDA in the second trimester (n = 8). The combination of l-phenylalanine, l-leucine, and l-isoleucine in the second trimester, which were closely related to fetal growth indicators, was highly predictive of sFGR occurrence (area under the curve [AUC]: 0.878). The combination of l-serine, l-histidine, and l-arginine in the first trimester and creatinine in the second trimester was correlated with long-term neurocognitive behavioral development and showed the capacity to identify fetal brain injury with high accuracy (AUC: 0.94). CONCLUSIONS: The performance of maternal plasma metabolites from the first and second trimester is superior to those from the third trimester and cord plasma in discerning sFGR and fetal brain injury. These metabolites may serve as useful biomarkers for early prediction and promising targets for early intervention in clinical settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-03134-9.
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spelling pubmed-106663852023-11-23 Metabolic dynamics and prediction of sFGR and adverse fetal outcomes: a prospective longitudinal cohort study Huang, Nana Chen, Wei Jiang, Hai Yang, Jing Zhang, Youzhen Shi, Huifeng Wang, Ying Yuan, Pengbo Qiao, Jie Wei, Yuan Zhao, Yangyu BMC Med Research Article BACKGROUND: Selective fetal growth restriction (sFGR) is an extreme complication that significantly increases the risk of perinatal mortality and long-term adverse neurological outcomes in offspring, affecting approximately 15% of monochorionic diamniotic (MCDA) twin pregnancies. The lack of longitudinal cohort studies hinders the early prediction and intervention of sFGR. METHODS: We constructed a prospective longitudinal cohort study of sFGR, and quantified 25 key metabolites in 337 samples from maternal plasma in the first, second, and third trimester and from cord plasma. In particular, our study examined fetal growth and brain injury data from ultrasonography and used the Ages and Stages Questionnaire-third edition subscale (ASQ-3) to evaluate the long-term neurocognitive behavioral development of infants aged 2–3 years. Furthermore, we correlated metabolite levels with ultrasound data, including physical development and brain injury indicators, and ASQ-3 data using Spearman’s-based correlation tests. In addition, special combinations of differential metabolites were used to construct predictive models for the occurrence of sFGR and fetal brain injury. RESULTS: Our findings revealed various dynamic patterns for these metabolites during pregnancy and a maximum of differential metabolites between sFGR and MCDA in the second trimester (n = 8). The combination of l-phenylalanine, l-leucine, and l-isoleucine in the second trimester, which were closely related to fetal growth indicators, was highly predictive of sFGR occurrence (area under the curve [AUC]: 0.878). The combination of l-serine, l-histidine, and l-arginine in the first trimester and creatinine in the second trimester was correlated with long-term neurocognitive behavioral development and showed the capacity to identify fetal brain injury with high accuracy (AUC: 0.94). CONCLUSIONS: The performance of maternal plasma metabolites from the first and second trimester is superior to those from the third trimester and cord plasma in discerning sFGR and fetal brain injury. These metabolites may serve as useful biomarkers for early prediction and promising targets for early intervention in clinical settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-03134-9. BioMed Central 2023-11-23 /pmc/articles/PMC10666385/ /pubmed/37996847 http://dx.doi.org/10.1186/s12916-023-03134-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Article
Huang, Nana
Chen, Wei
Jiang, Hai
Yang, Jing
Zhang, Youzhen
Shi, Huifeng
Wang, Ying
Yuan, Pengbo
Qiao, Jie
Wei, Yuan
Zhao, Yangyu
Metabolic dynamics and prediction of sFGR and adverse fetal outcomes: a prospective longitudinal cohort study
title Metabolic dynamics and prediction of sFGR and adverse fetal outcomes: a prospective longitudinal cohort study
title_full Metabolic dynamics and prediction of sFGR and adverse fetal outcomes: a prospective longitudinal cohort study
title_fullStr Metabolic dynamics and prediction of sFGR and adverse fetal outcomes: a prospective longitudinal cohort study
title_full_unstemmed Metabolic dynamics and prediction of sFGR and adverse fetal outcomes: a prospective longitudinal cohort study
title_short Metabolic dynamics and prediction of sFGR and adverse fetal outcomes: a prospective longitudinal cohort study
title_sort metabolic dynamics and prediction of sfgr and adverse fetal outcomes: a prospective longitudinal cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666385/
https://www.ncbi.nlm.nih.gov/pubmed/37996847
http://dx.doi.org/10.1186/s12916-023-03134-9
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