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@ARTICLE{Wedekind:156943,
      author       = {R. Wedekind and A. Kiss and P. Keski-Rahkonen and V.
                      Viallon and J. A. Rothwell and A. J. Cross and A. L.
                      Rostgaard-Hansen and T. M. Sandanger and P. Jakszyn and J.
                      A. Schmidt and V. Pala and R. Vermeulen and M. B. Schulze
                      and T. Kühn$^*$ and T. Johnson$^*$ and A. Trichopoulou and
                      E. Peppa and C. La Vechia and G. Masala and R. Tumino and C.
                      Sacerdote and C. Wittenbecher and M. S. de Magistris and C.
                      C. Dahm and G. Severi and F. R. Mancini and E. Weiderpass
                      and M. J. Gunter and I. Huybrechts and A. Scalbert},
      title        = {{A} metabolomic study of red and processed meat intake and
                      acylcarnitine concentrations in human urine and blood.},
      journal      = {The American journal of clinical nutrition},
      volume       = {112},
      number       = {2},
      issn         = {1938-3207},
      address      = {Oxford},
      publisher    = {Oxford University Press},
      reportid     = {DKFZ-2020-01248},
      pages        = {381-388},
      year         = {2020},
      note         = {Volume 112, Issue 2, 1 August 2020, Pages 381-388},
      abstract     = {Acylcarnitines (ACs) play a major role in fatty acid
                      metabolism and are potential markers of metabolic
                      dysfunction with higher blood concentrations reported in
                      obese and diabetic individuals. Diet, and in particular red
                      and processed meat intake, has been shown to influence AC
                      concentrations but data on the effect of meat consumption on
                      AC concentrations is limited.To investigate the effect of
                      red and processed meat intake on AC concentrations in plasma
                      and urine using a randomized controlled trial with
                      replication in an observational cohort.In the randomized
                      crossover trial, 12 volunteers successively consumed 2
                      different diets containing either pork or tofu for 3 d each.
                      A panel of 44 ACs including several oxidized ACs was
                      analyzed by LC-MS in plasma and urine samples collected
                      after the 3-d period. ACs that were associated with pork
                      intake were then measured in urine (n = 474) and serum
                      samples (n = 451) from the European Prospective
                      Investigation into Cancer and nutrition (EPIC) study and
                      tested for associations with habitual red and processed meat
                      intake derived from dietary questionnaires.In urine samples
                      from the intervention study, pork intake was positively
                      associated with concentrations of 18 short- and medium-chain
                      ACs. Eleven of these were also positively associated with
                      habitual red and processed meat intake in the EPIC
                      cross-sectional study. In blood, C18:0 was positively
                      associated with red meat intake in both the intervention
                      study (q = 0.004, Student's t-test) and the
                      cross-sectional study (q = 0.033, linear regression).AC
                      concentrations in urine and blood were associated with red
                      meat intake in both a highly controlled intervention study
                      and in subjects of a cross-sectional study. Our data on the
                      role of meat intake on this important pathway of fatty acid
                      and energy metabolism may help understanding the role of red
                      meat consumption in the etiology of some chronic diseases.
                      This trial was registered at Clinicaltrials.gov as
                      NCT03354130.},
      cin          = {C020},
      ddc          = {570},
      cid          = {I:(DE-He78)C020-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32492168},
      doi          = {10.1093/ajcn/nqaa140},
      url          = {https://inrepo02.dkfz.de/record/156943},
}