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@ARTICLE{Hellmuth:143167,
      author       = {C. Hellmuth and F. F. Kirchberg and S. Brandt and A. Moß
                      and V. Walter$^*$ and D. Rothenbacher and H. Brenner$^*$ and
                      V. Grote and D. Gruszfeld and P. Socha and R.
                      Closa-Monasterolo and J. Escribano and V. Luque and E.
                      Verduci and B. Mariani and J.-P. Langhendries and P.
                      Poncelet and J. Heinrich and I. Lehmann and M. Standl and O.
                      Uhl and B. Koletzko and E. Thiering and M. Wabitsch},
      title        = {{A}n individual participant data meta-analysis on
                      metabolomics profiles for obesity and insulin resistance in
                      {E}uropean children.},
      journal      = {Scientific reports},
      volume       = {9},
      number       = {1},
      issn         = {2045-2322},
      address      = {[London]},
      publisher    = {Macmillan Publishers Limited, part of Springer Nature},
      reportid     = {DKFZ-2019-00766},
      pages        = {5053},
      year         = {2019},
      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.},
      cin          = {C070 / C120},
      ddc          = {600},
      cid          = {I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30911015},
      doi          = {10.1038/s41598-019-41449-x},
      url          = {https://inrepo02.dkfz.de/record/143167},
}