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Blood Metabolic Signatures of Body Mass Index: A Targeted Metabolomics Study in the EPIC Cohort

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1 International Agency for Research on Cancer, Section of Nutrition and Metabolism, 150 cours Albert Thomas, 69372 Lyon Cedex 08, France
2 Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Oxford OX3 7LF, United Kingdom
3 Aarhus University, Department of Public Health, Section for Epidemiology, Bartholins Alle 2, DK-8000 Aarhus C, Denmark
4 Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen, Denmark
5 Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany
6 Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
7 Hellenic Health Foundation, Alexandroupoleos 23, Athens 11527, Greece
8 WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Mikras Asias 75, Goudi GR,11527 Athens, Greece
9 Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, Massachusetts 02115, United States
10 Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Ponte Nuovo, Via delle Oblate n.4, Padiglione 28-A Mario Fiori, 50141 Florence, Italy
11 Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian, 1, 20133 Milan, Italy
12 Cancer Registry and Histopathology Unit, “Civic - M.P. Arezzo” Hospital, Via Dante 109, 97100 ASP Ragusa, Italy
13 Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, St Mary’s Campus, Norfolk Place, W2 1PG London, U.K.
14 HuGeF Foundation, Via Nizza 52, 10126 Turin, Italy
15 Dipartimento di Medicina Clinica e Chirurgia, Medical School of Naples, Federico II University, Via Sergio Pansini, 5, 80131 Naples, Italy
16 EPIC Asturias, Public Health Directorate, Asturias, Ciriaco Miguel Vigil St, 9, 33006 Oviedo, Spain
17 Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs. Granada, Hospitales Universitarios de Granada/Universidad de Granada, Cuesta del Observatorio, 4, 18011 Granada, Spain
18 CIBER Epidemiología y Salud Pública (CIBERESP), Av. Monforte de Lemos, 3-5, 28029 Madrid, Spain
19 Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Ronda de Levante, 11, 30008 Murcia, Spain
20 Navarra Public Health Institute, C/Leyre, 15, 31003 Pamplona, Spain
21 IdiSNA, Navarra Institute for Health Research, C/Irunlarrea, 3, 31008 Pamplona, Spain
22 Public Health Division of Gipuzkoa, Instituto BIO−Donostia, Basque Government, Av. Navarra 4, 20013 San Sebastian, Spain
23 Unit of Nutrition and Cancer. Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, Av. Gran Via de l’Hospitalet 199-203, 08908 L’Hospitalet de Llobregat, Spain
24 Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, 20502 Malmö, Sweden
25 Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), PO Box 1, 3720 BA Bilthoven, The Netherlands
26 Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Room number F02.649, Internal mail no F02.618, P.O. Box 85500, 3508 GA Utrecht, The Netherlands
27 Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Pantai Valley, 50603 Kuala Lumpur, Malaysia
28 Dept of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, STR 6.131, PO Box 85500, 3508GA Utrecht, The Netherlands
29 Medical Research Council Epidemiology Unit, MRC Epidemiology Unit, University of Cambridge, School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, U.K.
30 Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge CB1 8RN, U.K.
*Phone: +33 (0)4 72 73 81 75. Fax: +33 (0)4 72 73 83 61. E-mail: [email protected]
Cite this: J. Proteome Res. 2017, 16, 9, 3137–3146
Publication Date (Web):July 31, 2017
https://doi.org/10.1021/acs.jproteome.6b01062
Copyright © 2017 American Chemical Society

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    Abstract

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    Metabolomics 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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    The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acs.jproteome.6b01062.

    • Appendix S1, Materials and methods; Table S1, Means and standard deviations (SD) of metabolites concentrations according to body mass index (BMI); Table S2, Relationship of metabolites with body mass index in the EPIC-Oxford and the EPIC-Hepatobiliary control cohorts; Figure S1, Proportion of variability explained by lifestyle, dietary and blood sample characteristics in the metabolomics data of the EPIC-Oxford cohort; Figure S2, Proportion of variability explained by lifestyle, dietary and blood sample characteristics in the metabolomics data of the EPIC-Hepatobiliary controls cohort (PDF)

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    38. Rachael Stolzenberg-Solomon, Andriy Derkach, Steven Moore, Stephanie J Weinstein, Demetrius Albanes, Joshua Sampson. Associations between metabolites and pancreatic cancer risk in a large prospective epidemiological study. Gut 2020, 69 (11) , 2008-2015. https://doi.org/10.1136/gutjnl-2019-319811
    39. Erikka Loftfield, Karl-Heinz Herzig, J. Gregory Caporaso, Andriy Derkach, Yunhu Wan, Doratha A. Byrd, Emily Vogtmann, Minna Männikkö, Ville Karhunen, Rob Knight, Marc J. Gunter, Marjo-Riitta Järvelin, Rashmi Sinha. Association of Body Mass Index with Fecal Microbial Diversity and Metabolites in the Northern Finland Birth Cohort. Cancer Epidemiology, Biomarkers & Prevention 2020, 29 (11) , 2289-2299. https://doi.org/10.1158/1055-9965.EPI-20-0824
    40. Habtamu B. Beyene, Gavriel Olshansky, Adam Alexander T. Smith, Corey Giles, Kevin Huynh, Michelle Cinel, Natalie A. Mellett, Gemma Cadby, Joseph Hung, Jennie Hui, John Beilby, Gerald F. Watts, Jonathan S. Shaw, Eric K. Moses, Dianna J. Magliano, Peter J. Meikle, . High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies. PLOS Biology 2020, 18 (9) , e3000870. https://doi.org/10.1371/journal.pbio.3000870
    41. Bingjie Zhou, Reiko Ichikawa, Laurence D. Parnell, Sabrina E. Noel, Xiyuan Zhang, Shilpa N. Bhupathiraju, Caren E. Smith, Katherine L. Tucker, Jose M. Ordovas, Chao-Qiang Lai. Metabolomic Links between Sugar-Sweetened Beverage Intake and Obesity. Journal of Obesity 2020, 2020 , 1-10. https://doi.org/10.1155/2020/7154738
    42. Julie A. Schmidt, Georgina K. Fensom, Sabina Rinaldi, Augustin Scalbert, Paul N. Appleby, David Achaintre, Audrey Gicquiau, Marc J. Gunter, Pietro Ferrari, Rudolf Kaaks, Tilman Kühn, Heiner Boeing, Antonia Trichopoulou, Anna Karakatsani, Eleni Peppa, Domenico Palli, Sabina Sieri, Rosario Tumino, Bas Bueno‐de‐Mesquita, Antonio Agudo, Maria‐Jose Sánchez, María‐Dolores Chirlaque, Eva Ardanaz, Nerea Larrañaga, Aurora Perez‐Cornago, Nada Assi, Elio Riboli, Konstantinos K. Tsilidis, Timothy J. Key, Ruth C. Travis. Patterns in metabolite profile are associated with risk of more aggressive prostate cancer: A prospective study of 3,057 matched case–control sets from EPIC. International Journal of Cancer 2020, 146 (3) , 720-730. https://doi.org/10.1002/ijc.32314
    43. Victoria L. Stevens, Brian D. Carter, Marjorie L. McCullough, Peter T. Campbell, Ying Wang. Metabolomic Profiles Associated with BMI, Waist Circumference, and Diabetes and Inflammation Biomarkers in Women. Obesity 2020, 28 (1) , 187-196. https://doi.org/10.1002/oby.22670
    44. Augustin Scalbert, Pietro Ferrari. Biomarker discovery. 2020, 201-226. https://doi.org/10.1016/B978-0-12-812784-1.00010-4
    45. Mathilde His, Vivian Viallon, Laure Dossus, Audrey Gicquiau, David Achaintre, Augustin Scalbert, Pietro Ferrari, Isabelle Romieu, N. Charlotte Onland-Moret, Elisabete Weiderpass, Christina C. Dahm, Kim Overvad, Anja Olsen, Anne Tjønneland, Agnès Fournier, Joseph A. Rothwell, Gianluca Severi, Tilman Kühn, Renée T. Fortner, Heiner Boeing, Antonia Trichopoulou, Anna Karakatsani, Georgia Martimianaki, Giovanna Masala, Sabina Sieri, Rosario Tumino, Paolo Vineis, Salvatore Panico, Carla H. van Gils, Therese H. Nøst, Torkjel M. Sandanger, Guri Skeie, J. Ramón Quirós, Antonio Agudo, Maria-Jose Sánchez, Pilar Amiano, José María Huerta, Eva Ardanaz, Julie A. Schmidt, Ruth C. Travis, Elio Riboli, Konstantinos K. Tsilidis, Sofia Christakoudi, Marc J. Gunter, Sabina Rinaldi. Prospective analysis of circulating metabolites and breast cancer in EPIC. BMC Medicine 2019, 17 (1) https://doi.org/10.1186/s12916-019-1408-4
    46. Langenau, Boeing, Bergmann, Nöthlings, Oluwagbemigun. The Association between Alcohol Consumption and Serum Metabolites and the Modifying Effect of Smoking. Nutrients 2019, 11 (10) , 2331. https://doi.org/10.3390/nu11102331
    47. Oscar Daniel Rangel-Huerta, Belén Pastor-Villaescusa, Angel Gil. Are we close to defining a metabolomic signature of human obesity? A systematic review of metabolomics studies. Metabolomics 2019, 15 (6) https://doi.org/10.1007/s11306-019-1553-y
    48. Pablo Hernández‐Alonso, Simona Giardina, Daniel Cañueto, Jordi Salas‐Salvadó, Nicolau Cañellas, Mònica Bulló. Changes in Plasma Metabolite Concentrations after a Low‐Glycemic Index Diet Intervention. Molecular Nutrition & Food Research 2019, 63 (1) https://doi.org/10.1002/mnfr.201700975
    49. Eline H. van Roekel, Erikka Loftfield, Rachel S. Kelly, Oana A. Zeleznik, Krista A. Zanetti. Metabolomics in epidemiologic research: challenges and opportunities for early-career epidemiologists. Metabolomics 2019, 15 (1) https://doi.org/10.1007/s11306-018-1468-z
    50. Chung-Ho E. Lau, Alexandros P. Siskos, Léa Maitre, Oliver Robinson, Toby J. Athersuch, Elizabeth J. Want, Jose Urquiza, Maribel Casas, Marina Vafeiadi, Theano Roumeliotaki, Rosemary R. C. McEachan, Rafaq Azad, Line S. Haug, Helle M. Meltzer, Sandra Andrusaityte, Inga Petraviciene, Regina Grazuleviciene, Cathrine Thomsen, John Wright, Remy Slama, Leda Chatzi, Martine Vrijheid, Hector C. Keun, Muireann Coen. Determinants of the urinary and serum metabolome in children from six European populations. BMC Medicine 2018, 16 (1) https://doi.org/10.1186/s12916-018-1190-8
    51. Jason Rockel, Mohit Kapoor. The Metabolome and Osteoarthritis: Possible Contributions to Symptoms and Pathology. Metabolites 2018, 8 (4) , 92. https://doi.org/10.3390/metabo8040092
    52. Nada Assi, Marc J Gunter, Duncan C Thomas, Michael Leitzmann, Magdalena Stepien, Véronique Chajès, Thierry Philip, Paolo Vineis, Christina Bamia, Marie-Christine Boutron-Ruault, Torkjel M Sandanger, Amaia Molinuevo, Hendriek Boshuizen, Anneli Sundkvist, Tilman Kühn, Ruth Travis, Kim Overvad, Elio Riboli, Augustin Scalbert, Mazda Jenab, Vivian Viallon, Pietro Ferrari. Metabolic signature of healthy lifestyle and its relation with risk of hepatocellular carcinoma in a large European cohort. The American Journal of Clinical Nutrition 2018, 108 (1) , 117-126. https://doi.org/10.1093/ajcn/nqy074