利用孟德尔随机化和共定位技术三角测量抗高血压药物类别对心血管和代谢结果的疗效证据

Nhu Ngoc Le, Tran Quoc Bao Tran, John D. McClure, Dipender Gill, Sandosh Padmanabhan
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引用次数: 0

摘要

背景目前的高血压治疗指南通常建议采用标准化方法,但这可能无法解释血压(BP)反应的个体差异或高血压的复杂病因。本研究旨在调查各种抗高血压药物对各种心脏代谢和肾脏结果反应的异质性。方法本研究采用孟德尔随机化(MR)、基于摘要的MR(SMR)和共定位分析相结合的综合方法,研究降低血压和17类降压药的疗效对冠心病(CAD)、心肌梗死(MI)、心房颤动(AF)、心力衰竭(HF)、缺血性中风、慢性肾病(CKD)和2型糖尿病(T2D)风险的影响。从最大的欧洲血统 GWAS 和 GTEx v8 中获得了 29 种组织的遗传关联和基因表达摘要数据,这些数据与心血管疾病的病理生理学广泛相关。基因预测的 SBP 降低与降压药物类别的关联存在显著差异,揭示了降压药物对不同健康结果影响的异质性。研究发现了新的 MR 关联,包括内皮素受体拮抗剂、sGC 刺激剂和 PDE5 抑制剂对冠状动脉粥样硬化症(SBP 每降低 10 mmHg,OR 范围 = 0.197 - 0.348)和缺血性中风(OR 范围 = 0.218 - 0.686)的保护作用;以及 sGC 刺激剂和 PDE5 抑制剂对慢性肾脏病风险的保护作用(OR 范围 = 0.532 - 0.55)。SMR 和共定位分析包括 GUCY1A3 与 CAD 和 MI 风险、KCNH2 与房颤风险以及 PDE5A 与 CAD 风险相关的证据。结论我们的研究结果支持抗高血压药物类别对心脏代谢和肾脏结局的潜在不同影响,强调了个性化治疗的潜力。未来的研究应在不同人群中验证这些发现,并探索降压药血压调节与健康结果之间的机理途径。
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Triangulating Evidence for Antihypertensive Drug Class Efficacy on Cardiovascular and Metabolic Outcomes Using Mendelian Randomisation and Colocalisation
Background Current hypertension treatment guidelines typically recommend a standardised approach, which may not account for the inter-individual variability in blood pressure (BP) response or the complex causation of hypertension. This study aims to investigate the heterogeneity of responses to a broad range of antihypertensive drugs across various cardiometabolic and renal outcomes. Methods This study employed an integrative approach combining Mendelian randomisation (MR), summary-based MR (SMR), and colocalisation analyses to investigate the impact of BP lowering and the efficacy of seventeen antihypertensive drug classes on the risk of coronary artery disease (CAD), myocardial infarction (MI), atrial fibrillation (AF), heart failure (HF), ischemic stroke, chronic kidney disease (CKD), and type 2 diabetes (T2D). Genetic association and gene expression summary data were obtained from the largest European ancestry GWAS and GTEx v8 for 29 tissues that were broadly relevant to the pathophysiology of cardiovascular outcomes included. Results The genetic evidence supported that lower SBP was universally beneficial, causally associated with reduced risks of all studied outcomes. The association of genetically predicted SBP lowering varied significantly depending on the antihypertensive drug class, revealing heterogeneity in their impact on different health outcomes. Novel MR associations were identified, including protective effects of endothelin receptor antagonists, sGC stimulators, and PDE5 inhibitors against CAD (per 10-mmHg decrease in SBP, OR range = 0.197 - 0.348) and ischemic stroke (OR range = 0.218 - 0.686); and sGC stimulators and PDE5 inhibitors against CKD risk (OR range = 0.532 - 0.55). SMR and colocalisation analyses include evidence for GUCY1A3 and CAD and MI risk, KCNH2 with AF risk, and PDE5A with CAD risk. Conclusions Our results support potential differential impacts of antihypertensive drug classes on cardiometabolic and renal outcomes, underscoring the potential for personalised therapy. Future research should validate these findings across diverse populations and explore the mechanistic pathways between antihypertensive BP modulation and health outcomes.
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