Gaokun Qiu1, Yan Zheng2, Hao Wang1, Jie Sun3, Hongxia Ma3, Yang Xiao1, Yizhun Li1, Yu Yuan1, Handong Yang4, Xiulou Li4, Xinwen Min4, Ce Zhang4, Chengwei Xu4, Yue Jiang3, Xiaomin Zhang1, Meian He1, Ming Yang1, Zhibin Hu3, Huiru Tang5,6, Hongbing Shen3, Frank B Hu2, An Pan7, Tangchun Wu7. 1. Department of Occupational and Environmental Health and Department of Epidemiology and Biostatistics, Ministry of Education and State Key Laboratory of Environmental Health, Huazhong University of Science and Technology, Wuhan, China. 2. Department of Nutrition and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA. 3. Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China. 4. Department of Cardiovascular Disease, Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China. 5. State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China and. 6. CAS Key Laboratory of Magnetic Resonance in Biological Systems, University of Chinese Academy of Sciences, Wuhan, China. 7. Department of Occupational and Environmental Health and Department of Epidemiology and Biostatistics, Ministry of Education and State Key Laboratory of Environmental Health, Huazhong University of Science and Technology, Wuhan, China, wut@mails.tjmu.edu.cn panan@hust.edu.cn.
Abstract
BACKGROUND: Metabolomics studies in Caucasians have identified a number of novel metabolites in association with the risk of type 2 diabetes (T2D). However, few prospective metabolomic studies are available in Chinese populations. In the present study, we sought to identify novel metabolites consistently associated with incident T2D in two independent cohorts of Chinese adults. METHODS: We performed targeted metabolomics (52 metabolites) of fasting plasma samples by liquid chromatography-mass spectrometry in two prospective case-control studies nested within the Dongfeng-Tongji (DFTJ) cohort and Jiangsu Non-communicable Disease (JSNCD) cohort. After following for 4.61 ± 0.15 and 7.57 ± 1.13 years, respectively, 1039 and 520 eligible participants developed incident T2D in these two cohorts, and controls were 1:1 matched with cases by age (± 5 years) and sex. Multivariate conditional logistic regression models were constructed to identify metabolites associated with future T2D risk in both cohorts. RESULTS: We identified four metabolites consistently associated with an increased risk of developing T2D in the two cohorts, including alanine, phenylalanine, tyrosine and palmitoylcarnitine. In the meta-analysis of two cohorts, the odds ratios (95% confidence intervals, CIs) comparing extreme quartiles were 1.79 (1.32-2.42) for alanine, 1.91 (1.41-2.60) for phenylalanine, 1.85 (1.37-2.48) for tyrosine and 1.63 (1.21-2.20) for palmitoylcarnitine (all Ptrend ≤ 0.01). CONCLUSIONS: We confirmed the association of alanine, phenylalanine and tyrosine with future T2D risk and further identified palmitoylcarnitine as a novel metabolic marker of incident T2D in two prospective cohorts of Chinese adults. Our findings might provide new aetiological insight into the development of T2D.
BACKGROUND: Metabolomics studies in Caucasians have identified a number of novel metabolites in association with the risk of type 2 diabetes (T2D). However, few prospective metabolomic studies are available in Chinese populations. In the present study, we sought to identify novel metabolites consistently associated with incident T2D in two independent cohorts of Chinese adults. METHODS: We performed targeted metabolomics (52 metabolites) of fasting plasma samples by liquid chromatography-mass spectrometry in two prospective case-control studies nested within the Dongfeng-Tongji (DFTJ) cohort and Jiangsu Non-communicable Disease (JSNCD) cohort. After following for 4.61 ± 0.15 and 7.57 ± 1.13 years, respectively, 1039 and 520 eligible participants developed incident T2D in these two cohorts, and controls were 1:1 matched with cases by age (± 5 years) and sex. Multivariate conditional logistic regression models were constructed to identify metabolites associated with future T2D risk in both cohorts. RESULTS: We identified four metabolites consistently associated with an increased risk of developing T2D in the two cohorts, including alanine, phenylalanine, tyrosine and palmitoylcarnitine. In the meta-analysis of two cohorts, the odds ratios (95% confidence intervals, CIs) comparing extreme quartiles were 1.79 (1.32-2.42) for alanine, 1.91 (1.41-2.60) for phenylalanine, 1.85 (1.37-2.48) for tyrosine and 1.63 (1.21-2.20) for palmitoylcarnitine (all Ptrend ≤ 0.01). CONCLUSIONS: We confirmed the association of alanine, phenylalanine and tyrosine with future T2D risk and further identified palmitoylcarnitine as a novel metabolic marker of incident T2D in two prospective cohorts of Chinese adults. Our findings might provide new aetiological insight into the development of T2D.
Authors: Lu Deng; Kathleen Ismond; Zhengjun Liu; Jeremy Constable; Haili Wang; Olusegun I Alatise; Martin R Weiser; T P Kingham; David Chang Journal: Cancer Epidemiol Biomarkers Prev Date: 2019-05-31 Impact factor: 4.254
Authors: Miguel Ruiz-Canela; Marta Guasch-Ferré; Estefanía Toledo; Clary B Clish; Cristina Razquin; Liming Liang; Dong D Wang; Dolores Corella; Ramón Estruch; Álvaro Hernáez; Edward Yu; Enrique Gómez-Gracia; Yan Zheng; Fernando Arós; Dora Romaguera; Courtney Dennis; Emilio Ros; José Lapetra; Lluis Serra-Majem; Christopher Papandreou; Olga Portoles; Montserrat Fitó; Jordi Salas-Salvadó; Frank B Hu; Miguel A Martínez-González Journal: Diabetologia Date: 2018-04-16 Impact factor: 10.122
Authors: Jean-Philippe Drouin-Chartier; Amanda L Schwab; Siyu Chen; Yanping Li; Frank M Sacks; Bernard Rosner; JoAnn E Manson; Walter C Willett; Meir J Stampfer; Frank B Hu; Shilpa N Bhupathiraju Journal: Am J Clin Nutr Date: 2020-09-01 Impact factor: 8.472