An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children

Abstract Childhood obesity prevalence is rising in countries worldwide. A variety of etiologic factors contribute to childhood obesity but little is known about underlying biochemical mechanisms. We performed an individual participant meta-analysis including 1,020 pre-pubertal children from three Eu...

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Autores principales:	Christian Hellmuth, Franca F. Kirchberg, Stephanie Brandt, Anja Moß, Viola Walter, Dietrich Rothenbacher, Hermann Brenner, Veit Grote, Dariusz Gruszfeld, Piotr Socha, Ricardo Closa-Monasterolo, Joaquin Escribano, Veronica Luque, Elvira Verduci, Benedetta Mariani, Jean-Paul Langhendries, Pascale Poncelet, Joachim Heinrich, Irina Lehmann, Marie Standl, Olaf Uhl, Berthold Koletzko, Elisabeth Thiering, Martin Wabitsch
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7cda4e5f56dc47ad91dd6a8098663926
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spelling	oai:doaj.org-article:7cda4e5f56dc47ad91dd6a80986639262021-12-02T15:10:02ZAn individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children10.1038/s41598-019-41449-x2045-2322https://doaj.org/article/7cda4e5f56dc47ad91dd6a80986639262019-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-41449-xhttps://doaj.org/toc/2045-2322Abstract Childhood obesity prevalence is rising in countries worldwide. A variety of etiologic factors contribute to childhood obesity but little is known about underlying biochemical mechanisms. We performed an individual participant meta-analysis including 1,020 pre-pubertal children from three European studies and investigated the associations of 285 metabolites measured by LC/MS-MS with BMI z-score, height, weight, HOMA, and lipoprotein concentrations. Seventeen metabolites were significantly associated with BMI z-score. Sphingomyelin (SM) 32:2 showed the strongest association with BMI z-score (P = 4.68 × 10−23) and was also closely related to weight, and less strongly to height and LDL, but not to HOMA. Mass spectrometric analyses identified SM 32:2 as myristic acid containing SM d18:2/14:0. Thirty-five metabolites were significantly associated to HOMA index. Alanine showed the strongest positive association with HOMA (P = 9.77 × 10−16), while acylcarnitines and non-esterified fatty acids were negatively associated with HOMA. SM d18:2/14:0 is a powerful marker for molecular changes in childhood obesity. Tracing back the origin of SM 32:2 to dietary source in combination with genetic predisposition will path the way for early intervention programs. Metabolic profiling might facilitate risk prediction and personalized interventions in overweight children.Christian HellmuthFranca F. KirchbergStephanie BrandtAnja MoßViola WalterDietrich RothenbacherHermann BrennerVeit GroteDariusz GruszfeldPiotr SochaRicardo Closa-MonasteroloJoaquin EscribanoVeronica LuqueElvira VerduciBenedetta MarianiJean-Paul LanghendriesPascale PonceletJoachim HeinrichIrina LehmannMarie StandlOlaf UhlBerthold KoletzkoElisabeth ThieringMartin WabitschNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-13 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Christian Hellmuth Franca F. Kirchberg Stephanie Brandt Anja Moß Viola Walter Dietrich Rothenbacher Hermann Brenner Veit Grote Dariusz Gruszfeld Piotr Socha Ricardo Closa-Monasterolo Joaquin Escribano Veronica Luque Elvira Verduci Benedetta Mariani Jean-Paul Langhendries Pascale Poncelet Joachim Heinrich Irina Lehmann Marie Standl Olaf Uhl Berthold Koletzko Elisabeth Thiering Martin Wabitsch An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children
description	Abstract Childhood obesity prevalence is rising in countries worldwide. A variety of etiologic factors contribute to childhood obesity but little is known about underlying biochemical mechanisms. We performed an individual participant meta-analysis including 1,020 pre-pubertal children from three European studies and investigated the associations of 285 metabolites measured by LC/MS-MS with BMI z-score, height, weight, HOMA, and lipoprotein concentrations. Seventeen metabolites were significantly associated with BMI z-score. Sphingomyelin (SM) 32:2 showed the strongest association with BMI z-score (P = 4.68 × 10−23) and was also closely related to weight, and less strongly to height and LDL, but not to HOMA. Mass spectrometric analyses identified SM 32:2 as myristic acid containing SM d18:2/14:0. Thirty-five metabolites were significantly associated to HOMA index. Alanine showed the strongest positive association with HOMA (P = 9.77 × 10−16), while acylcarnitines and non-esterified fatty acids were negatively associated with HOMA. SM d18:2/14:0 is a powerful marker for molecular changes in childhood obesity. Tracing back the origin of SM 32:2 to dietary source in combination with genetic predisposition will path the way for early intervention programs. Metabolic profiling might facilitate risk prediction and personalized interventions in overweight children.
format	article
author	Christian Hellmuth Franca F. Kirchberg Stephanie Brandt Anja Moß Viola Walter Dietrich Rothenbacher Hermann Brenner Veit Grote Dariusz Gruszfeld Piotr Socha Ricardo Closa-Monasterolo Joaquin Escribano Veronica Luque Elvira Verduci Benedetta Mariani Jean-Paul Langhendries Pascale Poncelet Joachim Heinrich Irina Lehmann Marie Standl Olaf Uhl Berthold Koletzko Elisabeth Thiering Martin Wabitsch
author_facet	Christian Hellmuth Franca F. Kirchberg Stephanie Brandt Anja Moß Viola Walter Dietrich Rothenbacher Hermann Brenner Veit Grote Dariusz Gruszfeld Piotr Socha Ricardo Closa-Monasterolo Joaquin Escribano Veronica Luque Elvira Verduci Benedetta Mariani Jean-Paul Langhendries Pascale Poncelet Joachim Heinrich Irina Lehmann Marie Standl Olaf Uhl Berthold Koletzko Elisabeth Thiering Martin Wabitsch
author_sort	Christian Hellmuth
title	An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children
title_short	An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children
title_full	An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children
title_fullStr	An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children
title_full_unstemmed	An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children
title_sort	individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in european children
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/7cda4e5f56dc47ad91dd6a8098663926
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An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children

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