Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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
Descripción
Sumario: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.