Xu Jia1,2, Liping Xuan1,2, Yuhong Chen3,4, Min Xu5,6, Huajie Dai1,2, Wen Zhu1,2, Chanjuan Deng1,2, Tiange Wang1,2, Mian Li1,2, Zhiyun Zhao1,2, Yu Xu1,2, Jieli Lu1,2, Yufang Bi1,2, Weiqing Wang1,2, Guang Ning1,2. 1. Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China. 2. Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. 3. Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China. chenyh70@126.com. 4. Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. chenyh70@126.com. 5. Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, China. della.xumin@163.com. 6. Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. della.xumin@163.com.
Abstract
PURPOSE: Whether the association between fruit and type 2 diabetes (T2D) is modified by the genetic predisposition of T2D was yet elucidated. The current study is meant to examine the gene-dietary fruit intake interactions in the risk of T2D and related glycemic traits. METHODS: We performed a cross-sectional study in 11,657 participants aged ≥ 40 years from a community-based population in Shanghai, China. Fruit intake information was collected by a validated food frequency questionnaire by asking the frequency of consumption of typical food items over the previous 12 months. T2D-genetic risk score (GRS) was constructed by 34 well established T2D common variants in East Asians. The risk of T2D, fasting, 2 h-postprandial plasma glucose, and glycated hemoglobin A1c associated with T2D-GRS and each individual single nucleotide polymorphisms (SNPs) were tested. RESULTS: The risk of T2D associated with each 1-point of T2D-GRS was gradually decreased from the lower fruit intake level (< 1 times/week) [the odds ratio (OR) and 95% confidence interval (CI) was 1.10 (1.07-1.13)], to higher levels (1-3 and > 3 times/week) [the corresponding ORs and 95% CIs were 1.08 (1.05-1.10) and 1.07 (1.05-1.08); P for interaction = 0.04]. Analyses for associations with fasting, 2 h-postprandial plasma glucose and glycated hemoglobin A1c demonstrated consistent tendencies (all P for interaction ≤ 0.03). The inverse associations of fruit intake with risk of T2D and glucose traits were more prominent in the higher T2D-GRS tertile. CONCLUSIONS: Fruit intakes interact with the genetic predisposition of T2D on the risk of diabetes and related glucose metabolic traits. Fruit intake alleviates the association between genetic predisposition of T2D and the risk of diabetes; the association of fruit intake with a lower risk of diabetes was more prominent in population with a stronger genetic predisposition of T2D.
PURPOSE: Whether the association between fruit and type 2 diabetes (T2D) is modified by the genetic predisposition of T2D was yet elucidated. The current study is meant to examine the gene-dietary fruit intake interactions in the risk of T2D and related glycemic traits. METHODS: We performed a cross-sectional study in 11,657 participants aged ≥ 40 years from a community-based population in Shanghai, China. Fruit intake information was collected by a validated food frequency questionnaire by asking the frequency of consumption of typical food items over the previous 12 months. T2D-genetic risk score (GRS) was constructed by 34 well established T2D common variants in East Asians. The risk of T2D, fasting, 2 h-postprandial plasma glucose, and glycated hemoglobin A1c associated with T2D-GRS and each individual single nucleotide polymorphisms (SNPs) were tested. RESULTS: The risk of T2D associated with each 1-point of T2D-GRS was gradually decreased from the lower fruit intake level (< 1 times/week) [the odds ratio (OR) and 95% confidence interval (CI) was 1.10 (1.07-1.13)], to higher levels (1-3 and > 3 times/week) [the corresponding ORs and 95% CIs were 1.08 (1.05-1.10) and 1.07 (1.05-1.08); P for interaction = 0.04]. Analyses for associations with fasting, 2 h-postprandial plasma glucose and glycated hemoglobin A1c demonstrated consistent tendencies (all P for interaction ≤ 0.03). The inverse associations of fruit intake with risk of T2D and glucose traits were more prominent in the higher T2D-GRS tertile. CONCLUSIONS: Fruit intakes interact with the genetic predisposition of T2D on the risk of diabetes and related glucose metabolic traits. Fruit intake alleviates the association between genetic predisposition of T2D and the risk of diabetes; the association of fruit intake with a lower risk of diabetes was more prominent in population with a stronger genetic predisposition of T2D.
Authors: Qibin Qi; Audrey Y Chu; Jae H Kang; Majken K Jensen; Gary C Curhan; Louis R Pasquale; Paul M Ridker; David J Hunter; Walter C Willett; Eric B Rimm; Daniel I Chasman; Frank B Hu; Lu Qi Journal: N Engl J Med Date: 2012-09-21 Impact factor: 91.245
Authors: Jiantao Ma; Rachel Hennein; Chunyu Liu; Michelle T Long; Udo Hoffmann; Paul F Jacques; Alice H Lichtenstein; Frank B Hu; Daniel Levy Journal: Gastroenterology Date: 2018-03-29 Impact factor: 22.682
Authors: Raha Pazoki; Abbas Dehghan; Evangelos Evangelou; Helen Warren; He Gao; Mark Caulfield; Paul Elliott; Ioanna Tzoulaki Journal: Circulation Date: 2017-12-18 Impact factor: 29.690
Authors: Claudia Langenberg; Stephen J Sharp; Paul W Franks; Robert A Scott; Panos Deloukas; Nita G Forouhi; Philippe Froguel; Leif C Groop; Torben Hansen; Luigi Palla; Oluf Pedersen; Matthias B Schulze; Maria-Jose Tormo; Eleanor Wheeler; Claudia Agnoli; Larraitz Arriola; Aurelio Barricarte; Heiner Boeing; Geraldine M Clarke; Françoise Clavel-Chapelon; Eric J Duell; Guy Fagherazzi; Rudolf Kaaks; Nicola D Kerrison; Timothy J Key; Kay Tee Khaw; Janine Kröger; Martin Lajous; Andrew P Morris; Carmen Navarro; Peter M Nilsson; Kim Overvad; Domenico Palli; Salvatore Panico; J Ramón Quirós; Olov Rolandsson; Carlotta Sacerdote; María-José Sánchez; Nadia Slimani; Annemieke M W Spijkerman; Rosario Tumino; Daphne L van der A; Yvonne T van der Schouw; Inês Barroso; Mark I McCarthy; Elio Riboli; Nicholas J Wareham Journal: PLoS Med Date: 2014-05-20 Impact factor: 11.069
Authors: Tiange Wang; Tao Huang; Jae H Kang; Yan Zheng; Majken K Jensen; Janey L Wiggs; Louis R Pasquale; Charles S Fuchs; Hannia Campos; Eric B Rimm; Walter C Willett; Frank B Hu; Lu Qi Journal: BMC Med Date: 2017-05-09 Impact factor: 8.775
Authors: Qibin Qi; Audrey Y Chu; Jae H Kang; Jinyan Huang; Lynda M Rose; Majken K Jensen; Liming Liang; Gary C Curhan; Louis R Pasquale; Janey L Wiggs; Immaculata De Vivo; Andrew T Chan; Hyon K Choi; Rulla M Tamimi; Paul M Ridker; David J Hunter; Walter C Willett; Eric B Rimm; Daniel I Chasman; Frank B Hu; Lu Qi Journal: BMJ Date: 2014-03-19
Authors: Eun Ju Baek; Hae Un Jung; Tae-Woong Ha; Dong Jun Kim; Ji Eun Lim; Han Kyul Kim; Ji-One Kang; Bermseok Oh Journal: Front Genet Date: 2022-03-30 Impact factor: 4.599