Suppr超能文献

利用遗传学评估常用降压药物与糖尿病、血糖性状及血脂的关联:一项跨血统孟德尔随机化研究

Using genetics to assess the association of commonly used antihypertensive drugs with diabetes, glycaemic traits and lipids: a trans-ancestry Mendelian randomisation study.

作者信息

Zhao Jie V, Liu Fangchao, Schooling C Mary, Li Jianxin, Gu Dongfeng, Lu Xiangfeng

机构信息

School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.

Key Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

出版信息

Diabetologia. 2022 Apr;65(4):695-704. doi: 10.1007/s00125-021-05645-7. Epub 2022 Jan 26.

Abstract

AIMS/HYPOTHESIS: Diabetes and hyperlipidaemia are common comorbidities in people with hypertension. Despite similar protective effects on CVD, different classes of antihypertensive drugs have different effects on CVD risk factors, including diabetes, glucose metabolism and lipids. However, these pleiotropic effects have not been assessed in long-term, large randomised controlled trials, especially for East Asians.

METHODS

We used Mendelian randomisation to obtain unconfounded associations of ACE inhibitors, β-blockers (BBs) and calcium channel blockers (CCBs). Specifically, we used genetic variants in drug target genes and related to systolic BP in Europeans and East Asians, and applied them to the largest available genome-wide association studies of diabetes (74,124 cases and 824,006 controls in Europeans, 77,418 cases and 356,122 controls in East Asians), blood glucose levels, HbA, and lipids (LDL-cholesterol, HDL-cholesterol and triacylglycerols) (approximately 0.5 million Europeans and 0.1 million East Asians). We used coronary artery disease (CAD) as a control outcome and used different genetic instruments and analysis methods as sensitivity analyses.

RESULTS

As expected, genetically proxied ACE inhibition, BBs and CCBs were related to lower risk of CAD in both ancestries. Genetically proxied ACE inhibition was associated with a lower risk of diabetes (OR 0.85, 95% CI 0.78-0.93), and genetic proxies for BBs were associated with a higher risk of diabetes (OR 1.05, 95% CI 1.02-1.09). The estimates were similar in East Asians, and were corroborated by systematic review and meta-analyses of randomised controlled trials. In both ancestries, genetic proxies for BBs were associated with lower HDL-cholesterol and higher triacylglycerols, and genetic proxies for CCBs were associated with higher LDL-cholesterol. The estimates were robust to the use of different genetic instruments and analytical methods.

CONCLUSIONS/INTERPRETATION: Our findings suggest protective association of genetically proxied ACE inhibition with diabetes, while genetic proxies for BBs and CCBs possibly relate to an unfavourable metabolic profile. Developing a deeper understanding of the pathways underlying these diverse associations would be worthwhile, with implications for drug repositioning as well as optimal CVD prevention and treatment strategies in people with hypertension, diabetes and/or hyperlipidaemia.

摘要

目的/假设:糖尿病和高脂血症是高血压患者常见的合并症。尽管不同类别的降压药对心血管疾病(CVD)具有相似的保护作用,但它们对包括糖尿病、糖代谢和血脂在内的CVD危险因素有不同影响。然而,这些多效性作用尚未在长期、大型随机对照试验中进行评估,尤其是针对东亚人群。

方法

我们采用孟德尔随机化方法来获得血管紧张素转换酶抑制剂(ACE抑制剂)、β受体阻滞剂(BBs)和钙通道阻滞剂(CCBs)的无混杂关联。具体而言,我们使用了欧洲人和东亚人药物靶基因中与收缩压相关的基因变异,并将其应用于现有最大规模的糖尿病全基因组关联研究(欧洲人中有74124例病例和824006例对照,东亚人中有77418例病例和356122例对照)、血糖水平、糖化血红蛋白(HbA)以及血脂(低密度脂蛋白胆固醇、高密度脂蛋白胆固醇和甘油三酯)(约50万欧洲人和10万东亚人)。我们将冠心病(CAD)作为对照结局,并使用不同的基因工具和分析方法进行敏感性分析。

结果

正如预期的那样,在两个祖先群体中,基因代理的ACE抑制、BBs和CCBs与CAD风险降低相关。基因代理的ACE抑制与糖尿病风险降低相关(比值比[OR]0.85,95%置信区间[CI]0.78 - 0.93),而BBs的基因代理与糖尿病风险升高相关(OR 1.05,95% CI 1.02 - 1.09)。东亚人群中的估计结果相似,并且得到了随机对照试验的系统评价和荟萃分析的证实。在两个祖先群体中,BBs的基因代理与较低的高密度脂蛋白胆固醇和较高的甘油三酯相关,而CCBs的基因代理与较高的低密度脂蛋白胆固醇相关。这些估计结果在使用不同的基因工具和分析方法时具有稳健性。

结论/解读:我们的研究结果表明,基因代理的ACE抑制与糖尿病存在保护性关联,而BBs和CCBs的基因代理可能与不良代谢特征相关。深入了解这些不同关联背后的机制将是有价值的,这对药物重新定位以及高血压、糖尿病和/或高脂血症患者的最佳CVD预防和治疗策略具有重要意义。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验