Modifiable pathways for longevity: A Mendelian randomization analysis

被引:3
|
作者
Ni, Xiaolin [1 ]
Su, Huabin [2 ]
Lv, Yuan [2 ]
Li, Rongqiao [2 ]
Liu, Lei [3 ]
Zhu, Yan [4 ]
Yang, Ze [1 ]
Hu, Caiyou [2 ]
机构
[1] Chinese Acad Med Sci, Beijing Hosp, Beijing Inst Geriatr, Inst Geriatr Med, Beijing 100730, Peoples R China
[2] Jiangbin Hosp, Guangxi Zhuang Autonomous Reg, Zhenjiang 530021, Peoples R China
[3] Univ Groningen, Univ Med Ctr Groningen, Dept Med Microbiol & Infect Prevent, Hanzeplein 1, NL-9713 GZ Groningen, Netherlands
[4] Natl Hlth Commiss Peoples Republ China, Ctr Hlth Stat & Informat, Beijing 100044, Peoples R China
关键词
Longevity; Risk factors; Mendelian randomization; BMI; Metabolism; GENETIC-VARIANTS; CAUSAL INFERENCE; IDENTIFICATION; METAANALYSIS; ASSOCIATION; IMPACT; LOCI;
D O I
10.1016/j.clnu.2023.04.026
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background: A variety of factors, including diet and lifestyle, obesity, physiology, metabolism, hormone levels, psychology, and inflammation, have been associated with longevity. The specific influences of these factors, however, are poorly understood. Here, possible causal relationships between putative modifiable risk factors and longevity are investigated.Methods: A random effects model was used to investigate the association between 25 putative risk factors and longevity. The study population comprised 11,262 long-lived subjects (>= 90 years old, including 3484 individuals >= 99 years old) and 25,483 controls (<= 60 years old), all of European ancestry. The data were obtained from the UK Biobank database. Genetic variations were used as instruments in two-sample Mendelian randomization to reduce bias. The odds ratios for genetically predicted SD unit increases were calculated for each putative risk factor. Egger regression was used to determine possible violations of the Mendelian randomization model.Results: Thirteen potential risk factors showed significant associations with longevity (>= 90th) after correction for multiple testing. These included smoking initiation (OR:1.606; CI: 1.112-2.319) and educational attainment (OR:2.538, CI: 1.685-3.823) in the diet and lifestyle category, systolic and dia-stolic blood pressure (OR per SD increase: 0.518; CI: 0.438-0.614 for SBP and 0.620; CI 0.514-0.748 for DBP) and venous thromboembolism (OR:0.002; CI: 0.000-0.047) in the physiology category, obesity (OR: 0.874; CI: 0.796-0.960), BMI (OR per 1-SD increase: 0.691; CI: 0.628-0.760), and body size at age 10 (OR per 1-SD increase:0.728; CI: 0.595-0.890) in the obesity category, type 2 diabetes (T2D) (OR:0.854; CI: 0.816-0.894), LDL cholesterol (OR per 1-SD increase: 0.743; CI: 0.668-0.826), HDL cholesterol (OR per 1 -SD increase: 1.243; CI: 1.112-1.390), total cholesterol (TC) (OR per 1-SD increase: 0.786; CI: 0.702-0.881), and triglycerides (TG) (OR per 1-SD increase: 0.865; CI: 0.749-0.998) in the metabolism category. Both longevity (>= 90th) and super-longevity (>= 99th), smoking initiation, body size at age 10, BMI, obesity, DBP, SBP, T2D, HDL, LDL, and TC were consistently associated with outcomes. The examination of underlying pathways found that BMI indirectly affected longevity through three pathways, namely, SBP, plasma lipids (HDL/TC/LDL), and T2D (p < 0.05).Conclusion: BMI was found to significantly affect longevity through SBP, plasma lipid (HDL/TC/LDL), and T2D. Future strategies should focus on modifying BMI to improve health and longevity.(c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:1041 / 1047
页数:7
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