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Fetal effects of mild maternal COVID-19 infection: metabolomic profiling of cord blood

INTRODUCTION: The impact of maternal coronavirus disease 2019 (COVID-19) infection on fetal health remains to be precisely characterized. OBJECTIVES: Using metabolomic profiling of newborn umbilical cord blood, we aimed to investigate the potential fetal biological consequences of maternal COVID-19...

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Autores principales: Turkoglu, Onur, Alhousseini, Ali, Sajja, Sonia, Idler, Jay, Stuart, Sean, Ashrafi, Nadia, Yilmaz, Ali, Wharton, Kurt, Graham, Stewart F., Bahado-Singh, Ray O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105349/
https://www.ncbi.nlm.nih.gov/pubmed/37060499
http://dx.doi.org/10.1007/s11306-023-01988-x
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author Turkoglu, Onur
Alhousseini, Ali
Sajja, Sonia
Idler, Jay
Stuart, Sean
Ashrafi, Nadia
Yilmaz, Ali
Wharton, Kurt
Graham, Stewart F.
Bahado-Singh, Ray O.
author_facet Turkoglu, Onur
Alhousseini, Ali
Sajja, Sonia
Idler, Jay
Stuart, Sean
Ashrafi, Nadia
Yilmaz, Ali
Wharton, Kurt
Graham, Stewart F.
Bahado-Singh, Ray O.
author_sort Turkoglu, Onur
collection PubMed
description INTRODUCTION: The impact of maternal coronavirus disease 2019 (COVID-19) infection on fetal health remains to be precisely characterized. OBJECTIVES: Using metabolomic profiling of newborn umbilical cord blood, we aimed to investigate the potential fetal biological consequences of maternal COVID-19 infection. METHODS: Cord blood plasma samples from 23 mild COVID-19 cases (mother infected/newborn negative) and 23 gestational age-matched controls were analyzed using nuclear magnetic spectroscopy and liquid chromatography coupled with mass spectrometry. Metabolite set enrichment analysis (MSEA) was used to evaluate altered biochemical pathways due to COVID-19 intrauterine exposure. Logistic regression models were developed using metabolites to predict intrauterine exposure. RESULTS: Significant concentration differences between groups (p-value < 0.05) were observed in 19 metabolites. Elevated levels of glucocorticoids, pyruvate, lactate, purine metabolites, phenylalanine, and branched-chain amino acids of valine and isoleucine were discovered in cases while ceramide subclasses were decreased. The top metabolite model including cortisol and ceramide (d18:1/23:0) achieved an Area under the Receiver Operating Characteristics curve (95% CI) = 0.841 (0.725–0.957) for detecting fetal exposure to maternal COVID-19 infection. MSEA highlighted steroidogenesis, pyruvate metabolism, gluconeogenesis, and the Warburg effect as the major perturbed metabolic pathways (p-value < 0.05). These changes indicate fetal increased oxidative metabolism, hyperinsulinemia, and inflammatory response. CONCLUSION: We present fetal biochemical changes related to intrauterine inflammation and altered energy metabolism in cases of mild maternal COVID-19 infection despite the absence of viral infection. Elucidation of the long-term consequences of these findings is imperative considering the large number of exposures in the population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11306-023-01988-x.
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spelling pubmed-101053492023-04-17 Fetal effects of mild maternal COVID-19 infection: metabolomic profiling of cord blood Turkoglu, Onur Alhousseini, Ali Sajja, Sonia Idler, Jay Stuart, Sean Ashrafi, Nadia Yilmaz, Ali Wharton, Kurt Graham, Stewart F. Bahado-Singh, Ray O. Metabolomics Original Article INTRODUCTION: The impact of maternal coronavirus disease 2019 (COVID-19) infection on fetal health remains to be precisely characterized. OBJECTIVES: Using metabolomic profiling of newborn umbilical cord blood, we aimed to investigate the potential fetal biological consequences of maternal COVID-19 infection. METHODS: Cord blood plasma samples from 23 mild COVID-19 cases (mother infected/newborn negative) and 23 gestational age-matched controls were analyzed using nuclear magnetic spectroscopy and liquid chromatography coupled with mass spectrometry. Metabolite set enrichment analysis (MSEA) was used to evaluate altered biochemical pathways due to COVID-19 intrauterine exposure. Logistic regression models were developed using metabolites to predict intrauterine exposure. RESULTS: Significant concentration differences between groups (p-value < 0.05) were observed in 19 metabolites. Elevated levels of glucocorticoids, pyruvate, lactate, purine metabolites, phenylalanine, and branched-chain amino acids of valine and isoleucine were discovered in cases while ceramide subclasses were decreased. The top metabolite model including cortisol and ceramide (d18:1/23:0) achieved an Area under the Receiver Operating Characteristics curve (95% CI) = 0.841 (0.725–0.957) for detecting fetal exposure to maternal COVID-19 infection. MSEA highlighted steroidogenesis, pyruvate metabolism, gluconeogenesis, and the Warburg effect as the major perturbed metabolic pathways (p-value < 0.05). These changes indicate fetal increased oxidative metabolism, hyperinsulinemia, and inflammatory response. CONCLUSION: We present fetal biochemical changes related to intrauterine inflammation and altered energy metabolism in cases of mild maternal COVID-19 infection despite the absence of viral infection. Elucidation of the long-term consequences of these findings is imperative considering the large number of exposures in the population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11306-023-01988-x. Springer US 2023-04-15 2023 /pmc/articles/PMC10105349/ /pubmed/37060499 http://dx.doi.org/10.1007/s11306-023-01988-x Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Turkoglu, Onur
Alhousseini, Ali
Sajja, Sonia
Idler, Jay
Stuart, Sean
Ashrafi, Nadia
Yilmaz, Ali
Wharton, Kurt
Graham, Stewart F.
Bahado-Singh, Ray O.
Fetal effects of mild maternal COVID-19 infection: metabolomic profiling of cord blood
title Fetal effects of mild maternal COVID-19 infection: metabolomic profiling of cord blood
title_full Fetal effects of mild maternal COVID-19 infection: metabolomic profiling of cord blood
title_fullStr Fetal effects of mild maternal COVID-19 infection: metabolomic profiling of cord blood
title_full_unstemmed Fetal effects of mild maternal COVID-19 infection: metabolomic profiling of cord blood
title_short Fetal effects of mild maternal COVID-19 infection: metabolomic profiling of cord blood
title_sort fetal effects of mild maternal covid-19 infection: metabolomic profiling of cord blood
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105349/
https://www.ncbi.nlm.nih.gov/pubmed/37060499
http://dx.doi.org/10.1007/s11306-023-01988-x
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