Spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy

Abstract Phenotype-based assortative mating is well established in humans, with the potential for further convergence through a shared environment. To assess the correlation within infertile couples of physical, social, and behavioural characteristics and 155 circulating metabolic measures. Cross se...

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Autores principales:	Karema Al Rashid, Neil Goulding, Amy Taylor, Mary Ann Lumsden, Deborah A. Lawlor, Scott M. Nelson
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6742e13aaf63480da71489dd24c86268
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spelling	oai:doaj.org-article:6742e13aaf63480da71489dd24c862682021-11-08T10:50:46ZSpousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy10.1038/s41598-021-00531-z2045-2322https://doaj.org/article/6742e13aaf63480da71489dd24c862682021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00531-zhttps://doaj.org/toc/2045-2322Abstract Phenotype-based assortative mating is well established in humans, with the potential for further convergence through a shared environment. To assess the correlation within infertile couples of physical, social, and behavioural characteristics and 155 circulating metabolic measures. Cross sectional study at a tertiary medical center of 326 couples undertaking IVF. Serum lipids, lipoprotein subclasses, and low-molecular weight metabolites as quantified by NMR spectroscopy (155 metabolic measures). Multivariable and quantile regression correlations within couples of metabolite profiles. Couples exhibited statistical correlations of varying strength for most physical, social, and behavioural characteristics including age, height, alcohol consumption, education, smoking status, physical activity, family history and ethnicity, with correlation coefficients ranging from 0.22 to 0.73. There was no evidence of within couple associations for BMI and weight, where the correlation coefficients were − 0.03 (95% CI − 0.14, 0.08) and 0.01 (95% CI − 0.10, 0.12), respectively. Within spousal associations of the metabolite measurements were all positive but with weak to modest magnitudes, with the median correlation coefficient across all 155 measures being 0.12 (range 0.01–0.37 and interquartile range 0.10–0.18). With just four having associations stronger than 0.3: docosahexaenoic acid (0.37, 95% CI 0.22, 0.52), omega-3 fatty acids (0.32, 95% CI 0.20, 0.43) histidine (0.32, 95% CI 0.23, 0.41) and pyruvate (0.32, 95% CI 0.22, 0.43). Infertile couples exhibit spousal similarities for a range of demographic and serum metabolite measures, supporting initial assortative mating, with diet-derived metabolites suggesting possible subsequent convergence of their individual metabolic profile.Karema Al RashidNeil GouldingAmy TaylorMary Ann LumsdenDeborah A. LawlorScott M. NelsonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Karema Al Rashid Neil Goulding Amy Taylor Mary Ann Lumsden Deborah A. Lawlor Scott M. Nelson Spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy
description	Abstract Phenotype-based assortative mating is well established in humans, with the potential for further convergence through a shared environment. To assess the correlation within infertile couples of physical, social, and behavioural characteristics and 155 circulating metabolic measures. Cross sectional study at a tertiary medical center of 326 couples undertaking IVF. Serum lipids, lipoprotein subclasses, and low-molecular weight metabolites as quantified by NMR spectroscopy (155 metabolic measures). Multivariable and quantile regression correlations within couples of metabolite profiles. Couples exhibited statistical correlations of varying strength for most physical, social, and behavioural characteristics including age, height, alcohol consumption, education, smoking status, physical activity, family history and ethnicity, with correlation coefficients ranging from 0.22 to 0.73. There was no evidence of within couple associations for BMI and weight, where the correlation coefficients were − 0.03 (95% CI − 0.14, 0.08) and 0.01 (95% CI − 0.10, 0.12), respectively. Within spousal associations of the metabolite measurements were all positive but with weak to modest magnitudes, with the median correlation coefficient across all 155 measures being 0.12 (range 0.01–0.37 and interquartile range 0.10–0.18). With just four having associations stronger than 0.3: docosahexaenoic acid (0.37, 95% CI 0.22, 0.52), omega-3 fatty acids (0.32, 95% CI 0.20, 0.43) histidine (0.32, 95% CI 0.23, 0.41) and pyruvate (0.32, 95% CI 0.22, 0.43). Infertile couples exhibit spousal similarities for a range of demographic and serum metabolite measures, supporting initial assortative mating, with diet-derived metabolites suggesting possible subsequent convergence of their individual metabolic profile.
format	article
author	Karema Al Rashid Neil Goulding Amy Taylor Mary Ann Lumsden Deborah A. Lawlor Scott M. Nelson
author_facet	Karema Al Rashid Neil Goulding Amy Taylor Mary Ann Lumsden Deborah A. Lawlor Scott M. Nelson
author_sort	Karema Al Rashid
title	Spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy
title_short	Spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy
title_full	Spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy
title_fullStr	Spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy
title_full_unstemmed	Spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy
title_sort	spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6742e13aaf63480da71489dd24c86268
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Spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy

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