TY - JOUR
AU - van Roekel, Eline H
AU - Trijsburg, Laura
AU - Assi, Nada
AU - Carayol, Marion
AU - Achaintre, David
AU - Murphy, Neil
AU - Rinaldi, Sabina
AU - Schmidt, Julie A
AU - Stepien, Magdalena
AU - Kaaks, Rudolf
AU - Kühn, Tilman
AU - Boeing, Heiner
AU - Iqbal, Khalid
AU - Palli, Domenico
AU - Krogh, Vittorio
AU - Tumino, Rosario
AU - Ricceri, Fulvio
AU - Panico, Salvatore
AU - Peeters, Petra H
AU - Bueno-de-Mesquita, Bas
AU - Ardanaz, Eva
AU - Lujan-Barroso, Leila
AU - Quirós, J Ramón
AU - Huerta, José M
AU - Molina-Portillo, Elena
AU - Dorronsoro, Miren
AU - Tsilidis, Konstantinos K
AU - Riboli, Elio
AU - Rostgaard-Hansen, Agnetha Linn
AU - Tjønneland, Anne
AU - Overvad, Kim
AU - Weiderpass, Elisabete
AU - Boutron-Ruault, Marie-Christine
AU - Severi, Gianluca
AU - Trichopoulou, Antonia
AU - Karakatsani, Anna
AU - Kotanidou, Anastasia
AU - Håkansson, Anders
AU - Malm, Johan
AU - Weijenberg, Matty P
AU - Gunter, Marc J
AU - Jenab, Mazda
AU - Johansson, Mattias
AU - Travis, Ruth C
AU - Scalbert, Augustin
AU - Ferrari, Pietro
TI - Circulating Metabolites Associated with Alcohol Intake in the European Prospective Investigation into Cancer and Nutrition Cohort.
JO - Nutrients
VL - 10
IS - 5
SN - 2072-6643
CY - Basel
PB - MDPI
M1 - DKFZ-2018-01263
SP - 654 -
PY - 2018
AB - Identifying the metabolites associated with alcohol consumption may provide insights into the metabolic pathways through which alcohol may affect human health. We studied associations of alcohol consumption with circulating concentrations of 123 metabolites among 2974 healthy participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Alcohol consumption at recruitment was self-reported through dietary questionnaires. Metabolite concentrations were measured by tandem mass spectrometry (BIOCRATES AbsoluteIDQTM p180 kit). Data were randomly divided into discovery (2/3) and replication (1/3) sets. Multivariable linear regression models were used to evaluate confounder-adjusted associations of alcohol consumption with metabolite concentrations. Metabolites significantly related to alcohol intake in the discovery set (FDR q-value < 0.05) were further tested in the replication set (Bonferroni-corrected p-value < 0.05). Of the 72 metabolites significantly related to alcohol intake in the discovery set, 34 were also significant in the replication analysis, including three acylcarnitines, the amino acid citrulline, four lysophosphatidylcholines, 13 diacylphosphatidylcholines, seven acyl-alkylphosphatidylcholines, and six sphingomyelins. Our results confirmed earlier findings that alcohol consumption was associated with several lipid metabolites, and possibly also with specific acylcarnitines and amino acids. This provides further leads for future research studies aiming at elucidating the mechanisms underlying the effects of alcohol in relation to morbid conditions.
LB - PUB:(DE-HGF)16
C6 - pmid:29789452
C2 - pmc:PMC5986533
DO - DOI:10.3390/nu10050654
UR - https://inrepo02.dkfz.de/record/136825
ER -