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@ARTICLE{Hardikar:157074,
      author       = {S. Hardikar and R. D. Albrechtsen and D. Achaintre and T.
                      Lin and S. Pauleck and M. Playdon and A. N. Holowatyj and B.
                      Gigic and P. Schrotz-King$^*$ and J. Boehm and N. Habermann
                      and S. Brezina and A. Gsur and E. H. van Roekel and M. P.
                      Weijenberg and P. Keski-Rahkonen and A. Scalbert and J. Ose
                      and C. M. Ulrich},
      title        = {{I}mpact of {P}re-blood {C}ollection {F}actors on {P}lasma
                      {M}etabolomic {P}rofiles.},
      journal      = {Metabolites},
      volume       = {10},
      number       = {5},
      issn         = {2218-1989},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {DKFZ-2020-01365},
      pages        = {213},
      year         = {2020},
      abstract     = {Demographic, lifestyle and biospecimen-related factors at
                      the time of blood collection can influence metabolite levels
                      in epidemiological studies. Identifying the major influences
                      on metabolite concentrations is critical to designing
                      appropriate sample collection protocols and considering
                      covariate adjustment in metabolomics analyses. We examined
                      the association of age, sex, and other short-term pre-blood
                      collection factors (time of day, season, fasting duration,
                      physical activity, NSAID use, smoking and alcohol
                      consumption in the days prior to collection) with 133
                      targeted plasma metabolites (acylcarnitines, amino acids,
                      biogenic amines, sphingolipids, glycerophospholipids, and
                      hexoses) among 108 individuals that reported exposures
                      within 48 h before collection. The differences in mean
                      metabolite concentrations were assessed between groups based
                      on pre-collection factors using two-sided t-tests and ANOVA
                      with FDR correction. Percent differences in metabolite
                      concentrations were negligible across season, time of day of
                      collection, fasting status or lifestyle behaviors at the
                      time of collection, including physical activity or the use
                      of tobacco, alcohol or NSAIDs. The metabolites differed in
                      concentration between the age and sex categories for
                      $21.8\%$ and $14.3\%$ metabolites, respectively. In
                      conclusion, extrinsic factors in the short period prior to
                      collection were not meaningfully associated with
                      concentrations of selected endogenous metabolites in a
                      cross-sectional sample, though metabolite concentrations
                      differed by age and sex. Larger studies with more coverage
                      of the human metabolome are warranted.},
      cin          = {C120},
      ddc          = {540},
      cid          = {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:32455751},
      pmc          = {pmc:PMC7281389},
      doi          = {10.3390/metabo10050213},
      url          = {https://inrepo02.dkfz.de/record/157074},
}