Guo-Chong Chen1,2, Jin Choul Chai2, Jiaqian Xing2, Jee-Young Moon2, Zhilei Shan3, Bing Yu4, Yasmin Mossavar-Rahman2, Daniela Sotres-Alvarez5, Jun Li3, Josiemer Mattei3, Martha L Daviglus6, David L Perkins7, Robert D Burk2,8, Eric Boerwinkle4, Robert C Kaplan2,9, Frank B Hu3,10,11, Qibin Qi12,13. 1. Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China. 2. Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA. 3. Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA. 4. Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA. 5. Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. 6. Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA. 7. Department of Medicine, University of Illinois, Chicago, IL, USA. 8. Department of Pediatrics, Department of Microbiology and Immunology, Department of Obstetrics, Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA. 9. Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. 10. Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA. 11. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. 12. Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA. qibin.qi@einsteinmed.edu. 13. Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA. qibin.qi@einsteinmed.edu.
Abstract
AIMS/HYPOTHESIS: We aimed to evaluate associations of multiple recommended dietary patterns (i.e. the alternate Mediterranean diet [aMED], the Healthy Eating Index [HEI]-2015 and the healthful Plant-based Diet Index [hPDI]) with serum metabolite profile, and to examine dietary-pattern-associated metabolites in relation to incident diabetes. METHODS: We included 2842 adult participants free from diabetes, CVD and cancer during baseline recruitment of the Hispanic Community Health Study/Study of Latinos. Metabolomics profiling of fasting serum was performed using an untargeted approach. Dietary pattern scores were derived using information collected by two 24 h dietary recalls. Dietary-pattern-associated metabolites were identified using multivariable survey linear regressions and their associations with incident diabetes were assessed using multivariable survey Poisson regressions with adjustment for traditional risk factors. RESULTS: We identified eight metabolites (mannose, γ/β-tocopherol, N1-methylinosine, pyrraline and four amino acids) that were inversely associated with all dietary scores. These metabolites were detrimentally associated with various cardiometabolic risk traits, especially insulin resistance. A score comprised of these metabolites was associated with elevated risk of diabetes (RRper SD 1.54 [95% CI 1.29, 1.83]), and this detrimental association appeared to be attenuated or eliminated by having a higher score for aMED (pinteraction = 0.0001), HEI-2015 (pinteraction = 0.020) or hPDI (pinteraction = 0.023). For example, RR (95% CI) of diabetes for each SD increment in the metabolite score was 1.99 (1.44, 2.37), 1.67 (1.17, 2.38) and 1.08 (0.86, 1.34) across the lowest to the highest tertile of aMED score, respectively. CONCLUSIONS/ INTERPRETATION: Various recommended dietary patterns were inversely related to a group of metabolites that were associated with elevated risk of diabetes. Adhering to a healthful eating pattern may attenuate or eliminate the detrimental association between metabolically unhealthy serum metabolites and risk of diabetes.
AIMS/HYPOTHESIS: We aimed to evaluate associations of multiple recommended dietary patterns (i.e. the alternate Mediterranean diet [aMED], the Healthy Eating Index [HEI]-2015 and the healthful Plant-based Diet Index [hPDI]) with serum metabolite profile, and to examine dietary-pattern-associated metabolites in relation to incident diabetes. METHODS: We included 2842 adult participants free from diabetes, CVD and cancer during baseline recruitment of the Hispanic Community Health Study/Study of Latinos. Metabolomics profiling of fasting serum was performed using an untargeted approach. Dietary pattern scores were derived using information collected by two 24 h dietary recalls. Dietary-pattern-associated metabolites were identified using multivariable survey linear regressions and their associations with incident diabetes were assessed using multivariable survey Poisson regressions with adjustment for traditional risk factors. RESULTS: We identified eight metabolites (mannose, γ/β-tocopherol, N1-methylinosine, pyrraline and four amino acids) that were inversely associated with all dietary scores. These metabolites were detrimentally associated with various cardiometabolic risk traits, especially insulin resistance. A score comprised of these metabolites was associated with elevated risk of diabetes (RRper SD 1.54 [95% CI 1.29, 1.83]), and this detrimental association appeared to be attenuated or eliminated by having a higher score for aMED (pinteraction = 0.0001), HEI-2015 (pinteraction = 0.020) or hPDI (pinteraction = 0.023). For example, RR (95% CI) of diabetes for each SD increment in the metabolite score was 1.99 (1.44, 2.37), 1.67 (1.17, 2.38) and 1.08 (0.86, 1.34) across the lowest to the highest tertile of aMED score, respectively. CONCLUSIONS/ INTERPRETATION: Various recommended dietary patterns were inversely related to a group of metabolites that were associated with elevated risk of diabetes. Adhering to a healthful eating pattern may attenuate or eliminate the detrimental association between metabolically unhealthy serum metabolites and risk of diabetes.
Authors: Ramón Estruch; Emilio Ros; Jordi Salas-Salvadó; Maria-Isabel Covas; Dolores Corella; Fernando Arós; Enrique Gómez-Gracia; Valentina Ruiz-Gutiérrez; Miquel Fiol; José Lapetra; Rosa M Lamuela-Raventos; Lluís Serra-Majem; Xavier Pintó; Josep Basora; Miguel A Muñoz; José V Sorlí; J Alfredo Martínez; Montserrat Fitó; Alfredo Gea; Miguel A Hernán; Miguel A Martínez-González Journal: N Engl J Med Date: 2018-06-13 Impact factor: 91.245
Authors: Renata Micha; Jose L Peñalvo; Frederick Cudhea; Fumiaki Imamura; Colin D Rehm; Dariush Mozaffarian Journal: JAMA Date: 2017-03-07 Impact factor: 56.272