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

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作者
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
机构
[1] LMU - Ludwig-Maximilians-Universität München,Division of Pediatric Endocrinology and Diabetes, Interdisciplinary Obesity Unit, Department of Pediatrics and Adolescent Medicine
[2] Dr. von Hauner Children’s Hospital,Division of Clinical Epidemiology and Aging Research
[3] Div. Metabolic and Nutritional Medicine,Institute of Epidemiology and Medical Biometry
[4] University of Ulm,Neonatal Intensive Care Unit
[5] German Cancer Reasearch Center (DKFZ),Pediatric Nutrition and Development Research Unit
[6] Ulm University,Department of Paediatrics
[7] Children’s Memorial Health Institute,Institute of Epidemiology I
[8] Universitat Rovira I Virgili,Department of Environmental Immunology/Core Facility Studies
[9] IISPV,undefined
[10] San Paolo Hospital,undefined
[11] University of Milan,undefined
[12] Centre Hospitalier Chrétien St Vincent,undefined
[13] Hôpital Universitaire des enfants Reine Fabila,undefined
[14] Helmholtz Zentrum München- German Research Center for Environmental Health,undefined
[15] Ludwig-Maximilians-Universität München,undefined
[16] Institute and Outpatient Clinic for Occupational,undefined
[17] Social and Environmental Medicine,undefined
[18] Helmholtz Centre for Environmental Research – UFZ,undefined
[19] Berlin Institute of Health and Charité- Universitätsmedizin Berlin,undefined
[20] Molecular Epidemiology Unit,undefined
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摘要
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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