Interaction Between the FOXO1A-209 Genotype and Tea Drinking Is Significantly Associated with Reduced Mortality at Advanced Ages
Year: 2015
Type: article
Study design: Observational Study
Abstract: On the basis of the genotypic/phenotypic data from Chinese Longitudinal Healthy Longevity Survey (CLHLS) and Cox proportional hazard model, the present study demonstrates that interactions between carrying FOXO1A-209 genotypes and tea drinking are significantly associated with lower risk of mortality at advanced ages. Such a significant association is replicated in two independent Han Chinese CLHLS cohorts (p = 0.028-0.048 in the discovery and replication cohorts, and p = 0.003-0.016 in the combined dataset). We found the associations between tea drinking and reduced mortality are much stronger among carriers of the FOXO1A-209 genotype compared to non-carriers, and drinking tea is associated with a reversal of the negative effects of carrying FOXO1A-209 minor alleles, that is, from a substantially increased mortality risk to substantially reduced mortality risk at advanced ages. The impacts are considerably stronger among those who carry two copies of the FOXO1A minor allele than those who carry one copy. On the basis of previously reported experiments on human cell models concerning FOXO1A-by-tea-compounds interactions, we speculate that results in the present study indicate that tea drinking may inhibit FOXO1A-209 gene expression and its biological functions, which reduces the negative impacts of FOXO1A-209 gene on longevity (as reported in the literature) and offers protection against mortality risk at oldest-old ages. Our empirical findings imply that the health outcomes of particular nutritional interventions, including tea drinking, may, in part, depend upon individual genetic profiles, and the research on the effects of nutrigenomics interactions could potentially be useful for rejuvenation therapies in the clinic or associated healthy aging intervention programs.
Source: Rejuvenation Research
Authors: Yi Zeng, Huashuai Chen, Ting Ni, Rongping Ruan, Chao Nie, Xiaomin Liu, Lei Feng, Fengyu Zhang, Jiehua Lu, Jianxin Li, Yang Li, Wei Tao, Simon G. Gregory, William Gottschalk, Michael W. Lutz, Kenneth C. Land, Anatoli Yashin, Qihua Tan, Ze Yang, Lars Bolund, Qi Ming, Huanming Yang, Junxia Min, D. Craig Willcox, Bradley J. Willcox, Jun Gu, Elizabeth Hauser, Xiao-Li Tian, James W. Vaupel
Institutions: Duke University, Peking University, Duke Medical Center, Xiangtan University, Fudan University, State Key Laboratory of Genetic Engineering, Renmin University of China, BGI Group (China), National University of Singapore, Johns Hopkins University, Lieber Institute for Brain Development, University of Southern Denmark, Beijing Hospital, Aarhus University, Zhejiang University, King Abdulaziz University, University of Hawaiʻi at Mānoa, Kuakini Medical Center, University of Hawaii System, Okinawa International University, Max Planck Institute for Demographic Research
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
Awards: G1420263408, G1436341924, G180777892, G2777672791, G356667115, G3976396087, G4209606003, G4380180953, Demographic Analysis on Determinants of Healthy Longevity in China, G7278757109, G73765994, 关于改善老龄健康保障机制和科学管理效益的研究, G9000002753, G9000233197, G9000235145, G9000266332, Center for Population Health and Aging
OpenAlex ID: W1850970098