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
相关论文
共 50 条
  • [41] Modifiable risk factors and Parkinson's disease: systematic Mendelian randomization studies
    Grover, Sandeep
    Del Greco, Fabiola M.
    Lill, Chistina
    Koenig, Inke R.
    GENETIC EPIDEMIOLOGY, 2018, 42 (07) : 703 - 703
  • [42] Univariable and multivariable mendelian randomization study revealed the modifiable risk factors of urolithiasis
    Fang, Hailin
    Deng, Jiwang
    Chen, Qingjiang
    Chen, Dong
    Diao, Pengfei
    Peng, Lian
    Lai, Bin
    Zeng, Yongmao
    Han, Yuefu
    PLOS ONE, 2023, 18 (08):
  • [43] Identifying modifiable risk factors of lung cancer: Indications from Mendelian randomization
    Ding, Jie
    Tu, Zhenxing
    Chen, Hongquan
    Liu, Zhiguang
    PLOS ONE, 2021, 16 (10):
  • [44] COVID-19 infection and longevity: an observational and mendelian randomization study
    Shizheng Qiu
    Jianhua Liu
    Jiahe Guo
    Zhishuai Zhang
    Yu Guo
    Yang Hu
    Journal of Translational Medicine, 23 (1)
  • [45] Association of modifiable risk factors with obstructive sleep apnea: a Mendelian randomization study
    Li, Ye
    Miao, Yuyang
    Tan, Jin
    Zhang, Qiang
    AGING-US, 2023, 15 (23): : 14039 - 14065
  • [46] Modifiable risk factors for epilepsy: A two-sample Mendelian randomization study
    Yuan, Shuai
    Tomson, Torbjorn
    Larsson, Susanna C.
    BRAIN AND BEHAVIOR, 2021, 11 (05):
  • [47] Evaluating the causal relationship between five modifiable factors and the risk of spinal stenosis: a multivariable Mendelian randomization analysis
    Wan, Bangbei
    Ma, Ning
    Lu, Weiying
    PEERJ, 2023, 11
  • [48] Exploring the Causal Relationship Between Modifiable Exposures and Diabetes Mellitus: A Two-Sample Mendelian Randomization Analysis
    Muaddi, Mohammed A.
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (04)
  • [49] Blood metabolites, neurocognition and psychiatric disorders: a Mendelian randomization analysis to investigate causal pathways
    Guo, Jing
    Yang, Ping
    Wang, Jia-Hao
    Tang, Shi-Hao
    Han, Ji-Zhou
    Yao, Shi
    Yu, Ke
    Liu, Cong-Cong
    Dong, Shan-Shan
    Zhang, Kun
    Duan, Yuan-Yuan
    Yang, Tie-Lin
    Guo, Yan
    TRANSLATIONAL PSYCHIATRY, 2024, 14 (01):
  • [50] Smoking, DNA Methylation, and Lung Function: a Mendelian Randomization Analysis to Investigate Causal Pathways
    Jamieson, Emily
    Korologou-Linden, Roxanna
    Wootton, Robyn E.
    Guyatt, Anna L.
    Battram, Thomas
    Burrows, Kimberley
    Gaunt, Tom R.
    Tobin, Martin D.
    Munafo, Marcus
    Smith, George Davey
    Tilling, Kate
    Relton, Caroline
    Richardson, Tom G.
    Richmond, Rebecca C.
    AMERICAN JOURNAL OF HUMAN GENETICS, 2020, 106 (03) : 315 - 326