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An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children
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 st...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6433919/ https://www.ncbi.nlm.nih.gov/pubmed/30911015 http://dx.doi.org/10.1038/s41598-019-41449-x |
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author | Hellmuth, Christian Kirchberg, Franca F. Brandt, Stephanie Moß, Anja Walter, Viola Rothenbacher, Dietrich Brenner, Hermann Grote, Veit Gruszfeld, Dariusz Socha, Piotr Closa-Monasterolo, Ricardo Escribano, Joaquin Luque, Veronica Verduci, Elvira Mariani, Benedetta Langhendries, Jean-Paul Poncelet, Pascale Heinrich, Joachim Lehmann, Irina Standl, Marie Uhl, Olaf Koletzko, Berthold Thiering, Elisabeth Wabitsch, Martin |
author_facet | Hellmuth, Christian Kirchberg, Franca F. Brandt, Stephanie Moß, Anja Walter, Viola Rothenbacher, Dietrich Brenner, Hermann Grote, Veit Gruszfeld, Dariusz Socha, Piotr Closa-Monasterolo, Ricardo Escribano, Joaquin Luque, Veronica Verduci, Elvira Mariani, Benedetta Langhendries, Jean-Paul Poncelet, Pascale Heinrich, Joachim Lehmann, Irina Standl, Marie Uhl, Olaf Koletzko, Berthold Thiering, Elisabeth Wabitsch, Martin |
author_sort | Hellmuth, Christian |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-6433919 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64339192019-04-02 An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children Hellmuth, Christian Kirchberg, Franca F. Brandt, Stephanie Moß, Anja Walter, Viola Rothenbacher, Dietrich Brenner, Hermann Grote, Veit Gruszfeld, Dariusz Socha, Piotr Closa-Monasterolo, Ricardo Escribano, Joaquin Luque, Veronica Verduci, Elvira Mariani, Benedetta Langhendries, Jean-Paul Poncelet, Pascale Heinrich, Joachim Lehmann, Irina Standl, Marie Uhl, Olaf Koletzko, Berthold Thiering, Elisabeth Wabitsch, Martin Sci Rep Article 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. Nature Publishing Group UK 2019-03-25 /pmc/articles/PMC6433919/ /pubmed/30911015 http://dx.doi.org/10.1038/s41598-019-41449-x Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Hellmuth, Christian Kirchberg, Franca F. Brandt, Stephanie Moß, Anja Walter, Viola Rothenbacher, Dietrich Brenner, Hermann Grote, Veit Gruszfeld, Dariusz Socha, Piotr Closa-Monasterolo, Ricardo Escribano, Joaquin Luque, Veronica Verduci, Elvira Mariani, Benedetta Langhendries, Jean-Paul Poncelet, Pascale Heinrich, Joachim Lehmann, Irina Standl, Marie Uhl, Olaf Koletzko, Berthold Thiering, Elisabeth Wabitsch, Martin An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6433919/ https://www.ncbi.nlm.nih.gov/pubmed/30911015 http://dx.doi.org/10.1038/s41598-019-41449-x |
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