Heidi T M Lai1,2, Fumiaki Imamura3, Andres V Ardisson Korat4,5, Rachel A Murphy6, Nathan Tintle7,8, Julie K Bassett9, Jiaying Chen10, Janine Kröger11, Kuo-Liong Chien12, Mackenzie Senn13, Alexis C Wood13, Nita G Forouhi3, Matthias B Schulze11,14,15, William S Harris8,16, Ramachandran S Vasan17,18, Frank Hu4,5, Graham G Giles9,19,20, Allison Hodge9, Luc Djousse21, Ingeborg A Brouwer22, Frank Qian23, Qi Sun4,5, Jason H Y Wu24, Matti Marklund1,24,25, Rozenn N Lemaitre26, David S Siscovick27, Amanda M Fretts28, Aladdin H Shadyab29, JoAnn E Manson30,31, Barbara V Howard32, Jennifer G Robinson33, Robert B Wallace33, Nick J Wareham3, Yii-Der Ida Chen34, Jerome I Rotter34, Michael Y Tsai35, Renata Micha1, Dariush Mozaffarian1. 1. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA. 2. Department of Primary Care and Public Health, Imperial College London, London, U.K. 3. MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K. 4. Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA. 5. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA. 6. School of Population & Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada. 7. Department of Mathematics and Statistics, Dordt University, Sioux Center, IA. 8. Fatty Acid Research Institute, Sioux Falls, SD. 9. Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia. 10. Division of Aging, Brigham and Women's Hospital, Boston, MA. 11. Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany. 12. Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Republic of China. 13. U.S. Department of Agriculture/Agriculture Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX. 14. German Center for Diabetes Research (DZD), Neuherberg, Germany. 15. Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany. 16. Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD. 17. Boston University School of Medicine, Boston, MA. 18. The Framingham Heart Study, Framingham, MA. 19. Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia. 20. Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia. 21. Divisions of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA. 22. Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands. 23. Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA. 24. The George Institute for Global Health, the Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia. 25. Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden. 26. Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA. 27. The New York Academy of Medicine, New York, NY. 28. Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington School of Public Health, Seattle, WA. 29. Family Medicine and Public Health, School of Medicine, University of California, San Diego, La Jolla, CA. 30. Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA. 31. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA. 32. Georgetown University Medical Center, Georgetown University, Hyattsville, MD. 33. The University of Iowa, Iowa City, IA. 34. The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA. 35. Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN.
Abstract
OBJECTIVE: Trans fatty acids (TFAs) have harmful biologic effects that could increase the risk of type 2 diabetes (T2D), but evidence remains uncertain. We aimed to investigate the prospective associations of TFA biomarkers and T2D by conducting an individual participant-level pooled analysis. RESEARCH DESIGN AND METHODS: We included data from an international consortium of 12 prospective cohorts and nested case-control studies from six nations. TFA biomarkers were measured in blood collected between 1990 and 2008 from 25,126 participants aged ≥18 years without prevalent diabetes. Each cohort conducted de novo harmonized analyses using a prespecified protocol, and findings were pooled using inverse-variance weighted meta-analysis. Heterogeneity was explored by prespecified between-study and within-study characteristics. RESULTS: During a mean follow-up of 13.5 years, 2,843 cases of incident T2D were identified. In multivariable-adjusted pooled analyses, no significant associations with T2D were identified for trans/trans-18:2, relative risk (RR) 1.09 (95% CI 0.94-1.25); cis/trans-18:2, 0.89 (0.73-1.07); and trans/cis-18:2, 0.87 (0.73-1.03). Trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated with T2D (RR 0.81 [95% CI 0.67-0.99], 0.86 [0.75-0.99], and 0.84 [0.74-0.96], respectively). Findings were not significantly different according to prespecified sources of potential heterogeneity (each P ≥ 0.1). CONCLUSIONS: Circulating individual trans-18:2 TFA biomarkers were not associated with risk of T2D, while trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated. Findings may reflect the influence of mixed TFA sources (industrial vs. natural ruminant), a general decline in TFA exposure due to policy changes during this period, or the relatively limited range of TFA levels.
OBJECTIVE: Trans fatty acids (TFAs) have harmful biologic effects that could increase the risk of type 2 diabetes (T2D), but evidence remains uncertain. We aimed to investigate the prospective associations of TFA biomarkers and T2D by conducting an individual participant-level pooled analysis. RESEARCH DESIGN AND METHODS: We included data from an international consortium of 12 prospective cohorts and nested case-control studies from six nations. TFA biomarkers were measured in blood collected between 1990 and 2008 from 25,126 participants aged ≥18 years without prevalent diabetes. Each cohort conducted de novo harmonized analyses using a prespecified protocol, and findings were pooled using inverse-variance weighted meta-analysis. Heterogeneity was explored by prespecified between-study and within-study characteristics. RESULTS: During a mean follow-up of 13.5 years, 2,843 cases of incident T2D were identified. In multivariable-adjusted pooled analyses, no significant associations with T2D were identified for trans/trans-18:2, relative risk (RR) 1.09 (95% CI 0.94-1.25); cis/trans-18:2, 0.89 (0.73-1.07); and trans/cis-18:2, 0.87 (0.73-1.03). Trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated with T2D (RR 0.81 [95% CI 0.67-0.99], 0.86 [0.75-0.99], and 0.84 [0.74-0.96], respectively). Findings were not significantly different according to prespecified sources of potential heterogeneity (each P ≥ 0.1). CONCLUSIONS: Circulating individual trans-18:2 TFA biomarkers were not associated with risk of T2D, while trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated. Findings may reflect the influence of mixed TFA sources (industrial vs. natural ruminant), a general decline in TFA exposure due to policy changes during this period, or the relatively limited range of TFA levels.
Authors: Ivonne Sluijs; Nita G Forouhi; Joline W J Beulens; Yvonne T van der Schouw; Claudia Agnoli; Larraitz Arriola; Beverley Balkau; Aurelio Barricarte; Heiner Boeing; H Bas Bueno-de-Mesquita; Françoise Clavel-Chapelon; Francesca L Crowe; Blandine de Lauzon-Guillain; Dagmar Drogan; Paul W Franks; Diana Gavrila; Carlos Gonzalez; Jytte Halkjaer; Rudolf Kaaks; Aurelie Moskal; Peter Nilsson; Kim Overvad; Domenico Palli; Salvatore Panico; José R Quirós; Fulvio Ricceri; Sabina Rinaldi; Olov Rolandsson; Carlotta Sacerdote; María-José Sánchez; Nadia Slimani; Annemieke M W Spijkerman; Birgit Teucher; Anne Tjonneland; María-José Tormo; Rosario Tumino; Daphne L van der A; Stephen J Sharp; Claudia Langenberg; Edith J M Feskens; Elio Riboli; Nicholas J Wareham Journal: Am J Clin Nutr Date: 2012-07-03 Impact factor: 7.045
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Authors: Matti Marklund; Jason H Y Wu; Fumiaki Imamura; Liana C Del Gobbo; Amanda Fretts; Janette de Goede; Peilin Shi; Nathan Tintle; Maria Wennberg; Stella Aslibekyan; Tzu-An Chen; Marcia C de Oliveira Otto; Yoichiro Hirakawa; Helle Højmark Eriksen; Janine Kröger; Federica Laguzzi; Maria Lankinen; Rachel A Murphy; Kiesha Prem; Cécilia Samieri; Jyrki Virtanen; Alexis C Wood; Kerry Wong; Wei-Sin Yang; Xia Zhou; Ana Baylin; Jolanda M A Boer; Ingeborg A Brouwer; Hannia Campos; Paulo H M Chaves; Kuo-Liong Chien; Ulf de Faire; Luc Djoussé; Gudny Eiriksdottir; Naglaa El-Abbadi; Nita G Forouhi; J Michael Gaziano; Johanna M Geleijnse; Bruna Gigante; Graham Giles; Eliseo Guallar; Vilmundur Gudnason; Tamara Harris; William S Harris; Catherine Helmer; Mai-Lis Hellenius; Allison Hodge; Frank B Hu; Paul F Jacques; Jan-Håkan Jansson; Anya Kalsbeek; Kay-Tee Khaw; Woon-Puay Koh; Markku Laakso; Karin Leander; Hung-Ju Lin; Lars Lind; Robert Luben; Juhua Luo; Barbara McKnight; Jaakko Mursu; Toshiharu Ninomiya; Kim Overvad; Bruce M Psaty; Eric Rimm; Matthias B Schulze; David Siscovick; Michael Skjelbo Nielsen; Albert V Smith; Brian T Steffen; Lyn Steffen; Qi Sun; Johan Sundström; Michael Y Tsai; Hugh Tunstall-Pedoe; Matti I J Uusitupa; Rob M van Dam; Jenna Veenstra; W M Monique Verschuren; Nick Wareham; Walter Willett; Mark Woodward; Jian-Min Yuan; Renata Micha; Rozenn N Lemaitre; Dariush Mozaffarian; Ulf Risérus Journal: Circulation Date: 2019-05-21 Impact factor: 29.690
Authors: Jason H Y Wu; Matti Marklund; Fumiaki Imamura; Nathan Tintle; Andres V Ardisson Korat; Janette de Goede; Xia Zhou; Wei-Sin Yang; Marcia C de Oliveira Otto; Janine Kröger; Waqas Qureshi; Jyrki K Virtanen; Julie K Bassett; Alexis C Frazier-Wood; Maria Lankinen; Rachel A Murphy; Kalina Rajaobelina; Liana C Del Gobbo; Nita G Forouhi; Robert Luben; Kay-Tee Khaw; Nick Wareham; Anya Kalsbeek; Jenna Veenstra; Juhua Luo; Frank B Hu; Hung-Ju Lin; David S Siscovick; Heiner Boeing; Tzu-An Chen; Brian Steffen; Lyn M Steffen; Allison Hodge; Gudny Eriksdottir; Albert V Smith; Vilmunder Gudnason; Tamara B Harris; Ingeborg A Brouwer; Claudine Berr; Catherine Helmer; Cecilia Samieri; Markku Laakso; Michael Y Tsai; Graham G Giles; Tarja Nurmi; Lynne Wagenknecht; Matthias B Schulze; Rozenn N Lemaitre; Kuo-Liong Chien; Sabita S Soedamah-Muthu; Johanna M Geleijnse; Qi Sun; William S Harris; Lars Lind; Johan Ärnlöv; Ulf Riserus; Renata Micha; Dariush Mozaffarian Journal: Lancet Diabetes Endocrinol Date: 2017-10-12 Impact factor: 32.069
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Authors: Frank Qian; Andres V Ardisson Korat; Fumiaki Imamura; Matti Marklund; Nathan Tintle; Jyrki K Virtanen; Xia Zhou; Julie K Bassett; Heidi Lai; Yoichiro Hirakawa; Kuo-Liong Chien; Alexis C Wood; Maria Lankinen; Rachel A Murphy; Cecilia Samieri; Kamalita Pertiwi; Vanessa D de Mello; Weihua Guan; Nita G Forouhi; Nick Wareham; InterAct Consortium Frank B Hu; Ulf Riserus; Lars Lind; William S Harris; Aladdin H Shadyab; Jennifer G Robinson; Lyn M Steffen; Allison Hodge; Graham G Giles; Toshiharu Ninomiya; Matti Uusitupa; Jaakko Tuomilehto; Jaana Lindström; Markku Laakso; David S Siscovick; Catherine Helmer; Johanna M Geleijnse; Jason H Y Wu; Amanda Fretts; Rozenn N Lemaitre; Renata Micha; Dariush Mozaffarian; Qi Sun Journal: Diabetes Care Date: 2021-03-03 Impact factor: 19.112