Circulating metabolites associated with alcohol intake in the european prospective investigation into cancer and nutrition cohort
van Roekel, Eline H.; Trijsburg, Laura; Assi, Nada; Carayol, Marion; Achaintre, David; Murphy, Neil; Rinaldi, Sabina; Schmidt, Julie A.; Stepien, Magdalena; Kaaks, Rudolf; Kühn, Tilman; Boeing, Heiner; Iqbal, Khalid; Palli, Domenico; Krogh, Vittorio; Tumino, Rosario; Ricceri, Fulvio; Panico, Salvatore; Peeters, Petra H.; Bueno-de-Mesquita, Bas; Ardanaz, Eva; Lujan-Barroso, Leila; Quirós, J. Ramón; Huerta, José M.; Molina-Portillo, Elena; Dorronsoro, Miren; Tsilidis, Konstantinos K.; Riboli, Elio; Rostgaard-Hansen, Agnetha Linn; Tjønneland, Anne; Overvad, Kim; Weiderpass, Elisabete; Boutron-Ruault, Marie Christine; Severi, Gianluca; Trichopoulou, Antonia; Karakatsani, Anna; Kotanidou, Anastasia; Håkansson, Anders; Malm, Johan; Weijenberg, Matty P.; Gunter, Marc J.; Jenab, Mazda; Johansson, Mattias; Travis, Ruth C.; Scalbert, Augustin; Ferrari, Pietro
(2018) Nutrients, volume 10, issue 5
(Article)
Abstract
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
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at recruitment was self-reported through dietary questionnaires. Metabolite concentrations were measured by tandem mass spectrometry (BIOCRATES AbsoluteIDQTMp180 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 withmetabolite 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 72metabolites 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.
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Keywords: Acylcarnitines, Alcohol, Amino acids, Lipid metabolites, Targeted metabolomics, Food Science, Nutrition and Dietetics
ISSN: 2072-6643
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
Note: Funding Information: E.H. van Roekel was financially supported by Wereld Kanker Onderzoek Fonds (WKOF), as part of the World Cancer Research Fund International grant program (grant number 2016/1620), the GROW School for Oncology and Developmental Biology, and an obtained incentive for PhD Candidates from the Faculty of Health Medicine and Life Sciences at Maastricht University. The postdoctoral fellowship of M. Carayol was supported by the Fondation de France (project grant #2014-00050542). L. Lujan-Barroso was supported by Spanish Regional Governments and the Catalan Institute of Oncology; AGAUR, Generalitat de Catalunya [exp. 2014 SGR 726]; and the Red Tematica de Investigacion Cooperativa en Cancer of the Instituto de Salud Carlos III [ISCIII RTICC RD12/0036/0018], co-funded by FEDER funds/European Regional Development Fund (ERDF) “A way to build Europe”. Data on the EPIC-Colorectal cancer dataset was generated through support from the World Cancer Research Fund (WCRF) (grant number 2013/1002; PI: M.J. Gunter). The data on the EPIC-Hepatobiliary dataset was generated through support from the French National Cancer Institute (L’Institut National du Cancer; INCA) (grant number 2009-139; PI: M. Jenab). The data on the EPIC-Kidney dataset was generated through support from the World Cancer Research Fund (grant number 2014/1193; PI: M. Johansson). The data on the EPIC-prostate cancer dataset was generated through support from Cancer Research UK (C8221/A19170) and grant 2014/1183 from World Cancer Research Fund (WCRF UK), as part of the World Cancer Research Fund International grant program. The coordination of EPIC is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany); the Hellenic Health Foundation (Greece). Funding Information: Acknowledgments: E.H. van Roekel was financially supported by Wereld Kanker Onderzoek Fonds (WKOF), as part of the World Cancer Research Fund International grant program (grant number 2016/1620), the GROW School for Oncology and Developmental Biology, and an obtained incentive for PhD Candidates from the Faculty of Health Medicine and Life Sciences at Maastricht University. The postdoctoral fellowship of M. Carayol was supported by the Fondation de France (project grant #2014-00050542). L. Lujan-Barroso was supported by Spanish Regional Governments and the Catalan Institute of Oncology; AGAUR, Generalitat de Catalunya [exp. 2014 SGR 726]; and the Red Tematica de Investigacion Cooperativa en Cancer of the Instituto de Salud Carlos III [ISCIII RTICC RD12/0036/0018], co-funded by FEDER funds/European Regional Development Fund (ERDF) “A way to build Europe”. Data on the EPIC-Colorectal cancer dataset was generated through support from the World Cancer Research Fund (WCRF) (grant number 2013/1002; PI: M.J. Gunter). The data on the EPIC-Hepatobiliary dataset was generated through support from the French National Cancer Institute (L’Institut National du Cancer; INCA) (grant number 2009–139; PI: M. Jenab). The data on the EPIC-Kidney dataset was generated through support from the World Cancer Research Fund (grant number 2014/1193; PI: M. Johansson). The data on the EPIC-prostate cancer dataset was generated through support from Cancer Research UK (C8221/A19170) and grant 2014/1183 from World Cancer Research Fund (WCRF UK), as part of the World Cancer Research Fund International grant program. The coordination of EPIC is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany); the Hellenic Health Foundation (Greece); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy); Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); ERC-2009-AdG 232997 and Nordforsk, Nordic Centre of Excellence program on Food, Nutrition and Health (Norway); Health Research Fund (FIS), PI13/00061 to Granada, PI13/01162 to EPIC-Murcia, PI13/02633 to EPIC-Navarra), Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra, ISCIII RETIC (RD06/0020) (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C570/A16491 and C8221/A19170 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk, MR/M012190/1 to EPIC-Oxford) (UK). Publisher Copyright: © 2018 by the authors.
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