Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Clinical Pharmacology and Therapeutics Section, Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St George's, University of London, London, UK.
Int J Obes (Lond). 2021 Jul;45(7):1428-1438. doi: 10.1038/s41366-021-00807-4. Epub 2021 May 17.
Higher body mass index (BMI) and waist-to-hip ratio (WHR) increase the risk of cardiovascular disease, but the extent to which this is mediated by blood pressure, diabetes, lipid traits, and smoking is not fully understood.
Using consortia and UK Biobank genetic association summary data from 140,595 to 898,130 participants predominantly of European ancestry, Mendelian randomization mediation analysis was performed to investigate the degree to which systolic blood pressure (SBP), diabetes, lipid traits, and smoking mediated an effect of BMI and WHR on the risk of coronary artery disease (CAD), peripheral artery disease (PAD) and stroke.
The odds ratio of CAD per 1-standard deviation increase in genetically predicted BMI was 1.49 (95% CI 1.39 to 1.60). This attenuated to 1.34 (95% CI 1.24 to 1.45) after adjusting for genetically predicted SBP (proportion mediated 27%, 95% CI 3% to 50%), to 1.27 (95% CI 1.17 to 1.37) after adjusting for genetically predicted diabetes (41% mediated, 95% CI 18% to 63%), to 1.47 (95% CI 1.36 to 1.59) after adjusting for genetically predicted lipids (3% mediated, 95% -23% to 29%), and to 1.46 (95% CI 1.34 to 1.58) after adjusting for genetically predicted smoking (6% mediated, 95% CI -20% to 32%). Adjusting for all the mediators together, the estimate attenuated to 1.14 (95% CI 1.04 to 1.26; 66% mediated, 95% CI 42% to 91%). A similar pattern was observed when considering genetically predicted WHR as the exposure, and PAD or stroke as the outcome.
Measures to reduce obesity will lower the risk of cardiovascular disease primarily by impacting downstream metabolic risk factors, particularly diabetes and hypertension. Reduction of obesity prevalence alongside control and management of its mediators is likely to be most effective for minimizing the burden of obesity.
较高的体重指数(BMI)和腰臀比(WHR)会增加心血管疾病的风险,但目前尚不完全清楚血压、糖尿病、血脂特征和吸烟在多大程度上对此进行了介导。
利用来自 140595 至 898130 名主要为欧洲血统参与者的联盟和英国生物库遗传关联汇总数据,采用孟德尔随机化中介分析来研究收缩压(SBP)、糖尿病、血脂特征和吸烟在多大程度上介导 BMI 和 WHR 对冠心病(CAD)、外周动脉疾病(PAD)和中风风险的影响。
遗传预测 BMI 每增加 1 个标准差,CAD 的比值比为 1.49(95%CI 1.39 至 1.60)。在调整遗传预测 SBP 后,该比值比降至 1.34(95%CI 1.24 至 1.45)(介导比例 27%,95%CI 3%至 50%),在调整遗传预测糖尿病后降至 1.27(95%CI 1.17 至 1.37)(介导比例 41%,95%CI 18%至 63%),在调整遗传预测血脂后降至 1.47(95%CI 1.36 至 1.59)(介导比例 3%,95%CI-23%至 29%),在调整遗传预测吸烟后降至 1.46(95%CI 1.34 至 1.58)(介导比例 6%,95%CI-20%至 32%)。当同时调整所有中介因素时,该估计值降至 1.14(95%CI 1.04 至 1.26;介导比例 66%,95%CI 42%至 91%)。当考虑遗传预测 WHR 作为暴露因素,以及 PAD 或中风作为结局时,观察到类似的模式。
降低肥胖症的措施将主要通过影响下游代谢风险因素,尤其是糖尿病和高血压,来降低心血管疾病的风险。降低肥胖症的流行率,并同时控制和管理其介导因素,可能是最大限度减少肥胖症负担的最有效方法。