Blood metabolic signatures of body mass index: a targeted metabolomics study in the EPIC cohort

Publikation: Forskning - peer reviewTidsskriftartikel


  • Marion Carayol
    Marion CarayolFrankrig
  • Michael F Leitzmann
    Michael F LeitzmannFrankrig
  • Pietro Ferrari
    Pietro FerrariFrankrig
  • Raul Zamora-Ros
    Raul Zamora-RosFrankrig
  • David Achaintre
    David AchaintreFrankrig
  • Magdalena Stepien
    Magdalena StepienFrankrig
  • Julie A Schmidt
    Julie A SchmidtStorbritannien
  • Ruth C Travis
    Ruth C TravisStorbritannien
  • Kim Overvad
  • Anne Tjønneland
    Anne TjønnelandDanmark
  • Louise Hansen
    Louise HansenDanmark
  • Rudolf Kaaks
    Rudolf KaaksTyskland
  • Tilman Kühn
    Tilman KühnTyskland
  • Heiner Boeing
    Heiner BoeingTyskland
  • Ursula Bachlechner
    Ursula BachlechnerTyskland
  • Antonia Trichopoulou
    Antonia TrichopoulouGrækenland
  • Christina Bamia
    Christina BamiaGrækenland
  • Domenico Palli
    Domenico PalliItalien
  • Claudia Agnoli
    Claudia AgnoliItalien
  • Rosario Tumino
    Rosario TuminoItalien
  • Paolo Vineis
    Paolo VineisStorbritannien
  • Salvatore Panico
    Salvatore PanicoItalien
  • J Ramón Quirós
    J Ramón QuirósSpanien
  • Emilio Sánchez-Cantalejo
    Emilio Sánchez-CantalejoSpanien
  • José María Huerta
    José María HuertaSpanien
  • Eva Ardanaz
    Eva ArdanazSpanien
  • Larraitz Arriola
    Larraitz ArriolaSpanien
  • Antonio Agudo
    Antonio AgudoSpanien
  • Jan-Ake Nilsson
    Jan-Ake NilssonSverige
  • Olle Melander
    Olle MelanderSverige
  • Bas Bueno-de-Mesquita
    Bas Bueno-de-MesquitaStorbritannien
  • Petra H Peeters
    Petra H PeetersStorbritannien
  • Nick Wareham
    Nick WarehamStorbritannien
  • Kay-Tee Khaw
    Kay-Tee KhawStorbritannien
  • Mazda Jenab
    Mazda JenabFrankrig
  • Timothy J Key
    Timothy J KeyStorbritannien
  • Augustin Scalbert
    Augustin ScalbertFrankrig
  • Sabina Rinaldi
    Sabina RinaldiFrankrig

OBJECTIVE: Metabolomic is now widely used to characterize metabolic phenotypes associated with lifestyle risk factors such as obesity. The objective of the present study was to explore the associations of body mass index (BMI) with 145 metabolites measured in blood samples in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.

METHODS: Metabolites were measured in blood from 392 men from the Oxford (UK) cohort (EPIC-Oxford) and in 327 control subjects who were part of a nested case-control study on hepatobiliary carcinomas (EPIC-Hepatobiliary). Measured metabolites included amino acids, acylcarnitines, hexoses, biogenic amines, phosphatidylcholines, and sphingomyelins. Linear regression models controlled for potential confounders and multiple testing were run to evaluate the associations of metabolite concentrations with BMI.

RESULTS: Forty and 45 individual metabolites showed significant differences according to BMI variations, in the EPIC-Oxford and EPIC-Hepatobiliary sub-cohorts, respectively. Twenty two individual metabolites were associated with BMI in both sub-cohorts including kynurenine, one sphingomyelin, glutamate and 19 phosphatidylcholines.

CONCLUSIONS: The present findings provide additional knowledge on blood metabolic signatures of BMI in European adults, which may help identifying mechanisms mediating the relationship of BMI with obesity-related diseases.

TidsskriftJournal of Proteome Research
Sider (fra-til)3137-3146
Antal sider10
StatusUdgivet - 1 sep. 2017

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