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dc.contributor.authorCarayol, Marion
dc.contributor.authorLeitzmann, Michael F
dc.contributor.authorFerrari, Pietro
dc.contributor.authorZamora-Ros, Raul
dc.contributor.authorAchaintre, David
dc.contributor.authorStepien, Magdalena
dc.contributor.authorSchmidt, Julie A
dc.contributor.authorTravis, Ruth C
dc.contributor.authorOvervad, Kim
dc.contributor.authorTjønneland, Anne
dc.contributor.authorHansen, Louise
dc.contributor.authorKaaks, Rudolf
dc.contributor.authorKühn, Tilman
dc.contributor.authorBoeing, Heiner
dc.contributor.authorBachlechner, Ursula
dc.contributor.authorTrichopoulou, Antonia
dc.contributor.authorBamia, Christina
dc.contributor.authorPalli, Domenico
dc.contributor.authorAgnoli, Claudia
dc.contributor.authorTumino, Rosario
dc.contributor.authorVineis, Paolo
dc.contributor.authorPanico, Salvatore
dc.contributor.authorQuirós, J Ramón
dc.contributor.authorSánchez-Cantalejo, Emilio
dc.contributor.authorHuerta, José María
dc.contributor.authorArdanaz, Eva
dc.contributor.authorArriola, Larraitz
dc.contributor.authorAgudo, Antonio
dc.contributor.authorNilsson, Jan
dc.contributor.authorMelander, Olle
dc.contributor.authorBueno-de-Mesquita, Bas
dc.contributor.authorPeeters, Petra H
dc.contributor.authorWareham, Nick
dc.contributor.authorKhaw, Kay-Tee
dc.contributor.authorJenab, Mazda
dc.contributor.authorKey, Timothy J
dc.contributor.authorScalbert, Augustin
dc.contributor.authorRinaldi, Sabina
dc.date.accessioned2018-01-09T09:42:16Z
dc.date.available2018-01-09T09:42:16Z
dc.date.issued2017-09-01
dc.identifier.citationBlood Metabolic Signatures of Body Mass Index: A Targeted Metabolomics Study in the EPIC Cohort. 2017, 16 (9):3137-3146 J. Proteome Res.en
dc.identifier.issn1535-3907
dc.identifier.pmid28758405
dc.identifier.doi10.1021/acs.jproteome.6b01062
dc.identifier.urihttp://hdl.handle.net/10029/621049
dc.description.abstractMetabolomics 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. 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. 40 and 45 individual metabolites showed significant differences according to BMI variations, in the EPIC-Oxford and EPIC-Hepatobiliary subcohorts, respectively. Twenty two individual metabolites (kynurenine, one sphingomyelin, glutamate and 19 phosphatidylcholines) were associated with BMI in both subcohorts. The present findings provide additional knowledge on blood metabolic signatures of BMI in European adults, which may help identify mechanisms mediating the relationship of BMI with obesity-related diseases.
dc.language.isoenen
dc.rightsArchived with thanks to Journal of proteome researchen
dc.titleBlood Metabolic Signatures of Body Mass Index: A Targeted Metabolomics Study in the EPIC Cohort.en
dc.typeArticleen
dc.identifier.journalJ Proteome Res 2017, 16(9):3137-46en
html.description.abstractMetabolomics 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. 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. 40 and 45 individual metabolites showed significant differences according to BMI variations, in the EPIC-Oxford and EPIC-Hepatobiliary subcohorts, respectively. Twenty two individual metabolites (kynurenine, one sphingomyelin, glutamate and 19 phosphatidylcholines) were associated with BMI in both subcohorts. The present findings provide additional knowledge on blood metabolic signatures of BMI in European adults, which may help identify mechanisms mediating the relationship of BMI with obesity-related diseases.


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