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The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses

Background: It is plausible that maternal pregnancy metabolism influences the risk of offspring congenital heart disease (CHD). We sought to explore this through a systematic approach using different methods and data. Methods: We undertook multivariable logistic regression of the odds of CHD for 923...

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Autores principales: Taylor, Kurt, McBride, Nancy, Zhao, Jian, Oddie, Sam, Azad, Rafaq, Wright, John, Andreassen, Ole A., Stewart, Isobel D., Langenberg, Claudia, Magnus, Maria Christine, Borges, Maria Carolina, Caputo, Massimo, Lawlor, Deborah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410051/
https://www.ncbi.nlm.nih.gov/pubmed/36005401
http://dx.doi.org/10.3390/jcdd9080237
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author Taylor, Kurt
McBride, Nancy
Zhao, Jian
Oddie, Sam
Azad, Rafaq
Wright, John
Andreassen, Ole A.
Stewart, Isobel D.
Langenberg, Claudia
Magnus, Maria Christine
Borges, Maria Carolina
Caputo, Massimo
Lawlor, Deborah A.
author_facet Taylor, Kurt
McBride, Nancy
Zhao, Jian
Oddie, Sam
Azad, Rafaq
Wright, John
Andreassen, Ole A.
Stewart, Isobel D.
Langenberg, Claudia
Magnus, Maria Christine
Borges, Maria Carolina
Caputo, Massimo
Lawlor, Deborah A.
author_sort Taylor, Kurt
collection PubMed
description Background: It is plausible that maternal pregnancy metabolism influences the risk of offspring congenital heart disease (CHD). We sought to explore this through a systematic approach using different methods and data. Methods: We undertook multivariable logistic regression of the odds of CHD for 923 mass spectrometry (MS)-derived metabolites in a sub-sample of a UK birth cohort (Born in Bradford (BiB); N = 2605, 46 CHD cases). We considered metabolites reaching a p-value threshold <0.05 to be suggestively associated with CHD. We sought validation of our findings, by repeating the multivariable regression analysis within the BiB cohort for any suggestively associated metabolite that was measured by nuclear magnetic resonance (NMR) or clinical chemistry (N = 7296, 87 CHD cases), and by using genetic risk scores (GRS: weighted genetic risk scores of single nucleotide polymorphisms (SNPs) that were associated with any suggestive metabolite) in Mendelian randomization (MR) analyses. The MR analyses were performed in BiB and two additional European birth cohorts (N = 38,662, 319 CHD cases). Results: In the main multivariable analyses, we identified 44 metabolites suggestively associated with CHD, including those from the following super pathways: amino acids, lipids, co-factors and vitamins, xenobiotics, nucleotides, energy, and several unknown molecules. Of these 44, isoleucine and leucine were available in the larger BiB cohort (NMR), and for these the results were validated. The MR analyses were possible for 27/44 metabolites and for 11 there was consistency with the multivariable regression results. Conclusions: In summary, we have used complimentary data sources and statistical techniques to construct layers of evidence. We found that pregnancy amino acid metabolism, androgenic steroid lipids, and levels of succinylcarnitine could be important contributing factors for CHD.
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spelling pubmed-94100512022-08-26 The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses Taylor, Kurt McBride, Nancy Zhao, Jian Oddie, Sam Azad, Rafaq Wright, John Andreassen, Ole A. Stewart, Isobel D. Langenberg, Claudia Magnus, Maria Christine Borges, Maria Carolina Caputo, Massimo Lawlor, Deborah A. J Cardiovasc Dev Dis Article Background: It is plausible that maternal pregnancy metabolism influences the risk of offspring congenital heart disease (CHD). We sought to explore this through a systematic approach using different methods and data. Methods: We undertook multivariable logistic regression of the odds of CHD for 923 mass spectrometry (MS)-derived metabolites in a sub-sample of a UK birth cohort (Born in Bradford (BiB); N = 2605, 46 CHD cases). We considered metabolites reaching a p-value threshold <0.05 to be suggestively associated with CHD. We sought validation of our findings, by repeating the multivariable regression analysis within the BiB cohort for any suggestively associated metabolite that was measured by nuclear magnetic resonance (NMR) or clinical chemistry (N = 7296, 87 CHD cases), and by using genetic risk scores (GRS: weighted genetic risk scores of single nucleotide polymorphisms (SNPs) that were associated with any suggestive metabolite) in Mendelian randomization (MR) analyses. The MR analyses were performed in BiB and two additional European birth cohorts (N = 38,662, 319 CHD cases). Results: In the main multivariable analyses, we identified 44 metabolites suggestively associated with CHD, including those from the following super pathways: amino acids, lipids, co-factors and vitamins, xenobiotics, nucleotides, energy, and several unknown molecules. Of these 44, isoleucine and leucine were available in the larger BiB cohort (NMR), and for these the results were validated. The MR analyses were possible for 27/44 metabolites and for 11 there was consistency with the multivariable regression results. Conclusions: In summary, we have used complimentary data sources and statistical techniques to construct layers of evidence. We found that pregnancy amino acid metabolism, androgenic steroid lipids, and levels of succinylcarnitine could be important contributing factors for CHD. MDPI 2022-07-27 /pmc/articles/PMC9410051/ /pubmed/36005401 http://dx.doi.org/10.3390/jcdd9080237 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
Taylor, Kurt
McBride, Nancy
Zhao, Jian
Oddie, Sam
Azad, Rafaq
Wright, John
Andreassen, Ole A.
Stewart, Isobel D.
Langenberg, Claudia
Magnus, Maria Christine
Borges, Maria Carolina
Caputo, Massimo
Lawlor, Deborah A.
The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses
title The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses
title_full The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses
title_fullStr The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses
title_full_unstemmed The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses
title_short The Relationship of Maternal Gestational Mass Spectrometry-Derived Metabolites with Offspring Congenital Heart Disease: Results from Multivariable and Mendelian Randomization Analyses
title_sort relationship of maternal gestational mass spectrometry-derived metabolites with offspring congenital heart disease: results from multivariable and mendelian randomization analyses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410051/
https://www.ncbi.nlm.nih.gov/pubmed/36005401
http://dx.doi.org/10.3390/jcdd9080237
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