Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1038/s41598-019-41449-x
Licence creative commons licence
Title (Primary) An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children
Author Hellmuth, C.; Kirchberg, F.F.; Brandt, S.; Moß, A.; Walter, V.; Rothenbacher, D.; Brenner, H.; Grote, V.; Gruszfeld, D.; Socha, P.; Closa-Monasterolo, R.; Escribano, J.; Luque, V.; Verduci, E.; Mariani, B.; Langhendries, J.-P.; Poncelet, P.; Heinrich, J.; Lehmann, I.; Standl, M.; Uhl, O.; Koletzko, B.; Thiering, E.; Wabitsch, M.
Source Titel Scientific Reports
Year 2019
Department IMMU
Volume 9
Page From art. 5053
Language englisch
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.
Persistent UFZ Identifier
Hellmuth, C., Kirchberg, F.F., Brandt, S., Moß, A., Walter, V., Rothenbacher, D., Brenner, H., Grote, V., Gruszfeld, D., Socha, P., Closa-Monasterolo, R., Escribano, J., Luque, V., Verduci, E., Mariani, B., Langhendries, J.-P., Poncelet, P., Heinrich, J., Lehmann, I., Standl, M., Uhl, O., Koletzko, B., Thiering, E., Wabitsch, M. (2019):
An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children
Sci. Rep. 9 , art. 5053 10.1038/s41598-019-41449-x