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 und Wabitsch, Martin (2019): An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children. In: Scientific Reports, Bd. 9, 5053

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 x 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 x 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.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin ; Medizin > Institut und Poliklinik für Arbeits-, Sozial- und Umweltmedizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 2045-2322
• Sprache: Englisch