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...
Gespeichert in:
| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
25 March 2019
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| In: |
Scientific reports
Year: 2019, Jahrgang: 9 |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-019-41449-x |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1038/s41598-019-41449-x Verlag, Volltext: https://www.nature.com/articles/s41598-019-41449-x 
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| Verfasserangaben: | 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 |
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| 245 | 1 | 3 | |a An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children |c 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 |
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| 520 | |a 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. | ||
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