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

• Verfasst von: Hellmuth, Christian [VerfasserIn]
• Verfasst von: Brenner, Hermann [VerfasserIn]
• Titel: An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children
• Verf.angabe: 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
• E-Jahr: 2019
• Jahr: 25 March 2019
• Umfang: 13 S.
• Teil: volume:9
• Teil: year:2019
• Teil: extent:13
• Fussnoten: Gesehen am 08.04.2019
• Titel Quelle: Enthalten in: Scientific reports
• Ort Quelle: [London] : Macmillan Publishers Limited, part of Springer Nature, 2011
• Jahr Quelle: 2019
• Band/Heft Quelle: 9(2019) Article number: 5053, 13 Seiten
• ISSN Quelle: 2045-2322
• DOI: doi:10.1038/s41598-019-41449-x
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1662969333

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.