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000143167 1001_ $$aHellmuth, Christian$$b0
000143167 245__ $$aAn individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children.
000143167 260__ $$a[London]$$bMacmillan Publishers Limited, part of Springer Nature$$c2019
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000143167 520__ $$aChildhood obesity prevalence is rising in countries worldwide. A variety of etiologic factors contribute to childhood obesity but little is known about underlying biochemical mechanisms. We performed an individual participant meta-analysis including 1,020 pre-pubertal children from three European studies and investigated the associations of 285 metabolites measured by LC/MS-MS with BMI z-score, height, weight, HOMA, and lipoprotein concentrations. Seventeen metabolites were significantly associated with BMI z-score. Sphingomyelin (SM) 32:2 showed the strongest association with BMI z-score (P = 4.68 × 10-23) and was also closely related to weight, and less strongly to height and LDL, but not to HOMA. Mass spectrometric analyses identified SM 32:2 as myristic acid containing SM d18:2/14:0. Thirty-five metabolites were significantly associated to HOMA index. Alanine showed the strongest positive association with HOMA (P = 9.77 × 10-16), while acylcarnitines and non-esterified fatty acids were negatively associated with HOMA. SM d18:2/14:0 is a powerful marker for molecular changes in childhood obesity. Tracing back the origin of SM 32:2 to dietary source in combination with genetic predisposition will path the way for early intervention programs. Metabolic profiling might facilitate risk prediction and personalized interventions in overweight children.
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000143167 7001_ $$aKirchberg, Franca F$$b1
000143167 7001_ $$aBrandt, Stephanie$$b2
000143167 7001_ $$aMoß, Anja$$b3
000143167 7001_ $$0P:(DE-He78)6c2a1ea8cce3580fe2d1c1df120a92b9$$aWalter, Viola$$b4$$udkfz
000143167 7001_ $$aRothenbacher, Dietrich$$b5
000143167 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, Hermann$$b6$$udkfz
000143167 7001_ $$aGrote, Veit$$b7
000143167 7001_ $$aGruszfeld, Dariusz$$b8
000143167 7001_ $$aSocha, Piotr$$b9
000143167 7001_ $$aClosa-Monasterolo, Ricardo$$b10
000143167 7001_ $$aEscribano, Joaquin$$b11
000143167 7001_ $$00000-0003-2615-8175$$aLuque, Veronica$$b12
000143167 7001_ $$aVerduci, Elvira$$b13
000143167 7001_ $$aMariani, Benedetta$$b14
000143167 7001_ $$aLanghendries, Jean-Paul$$b15
000143167 7001_ $$aPoncelet, Pascale$$b16
000143167 7001_ $$aHeinrich, Joachim$$b17
000143167 7001_ $$00000-0001-8875-5587$$aLehmann, Irina$$b18
000143167 7001_ $$aStandl, Marie$$b19
000143167 7001_ $$aUhl, Olaf$$b20
000143167 7001_ $$aKoletzko, Berthold$$b21
000143167 7001_ $$aThiering, Elisabeth$$b22
000143167 7001_ $$aWabitsch, Martin$$b23
000143167 773__ $$0PERI:(DE-600)2615211-3$$a10.1038/s41598-019-41449-x$$gVol. 9, no. 1, p. 5053$$n1$$p5053$$tScientific reports$$v9$$x2045-2322$$y2019
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