Xu Siqi, Wen Simin, Zong Xizeng, Wen Shifeng, Zhu Jianwei, Zheng Weipeng, Wang Zhiqiang, Cao Peihua, Liang Zhijiang, Ding Changhai, Zhang Yan, Ruan Guangfeng
Department of Rheumatology (S.X., Simin Wen, X.Z., Shifeng Wen, C.D., G.R.), Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, China.
Clinical Research Centre, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China (S.X., Simin Wen, X.Z., Shifeng Wen, C.D., G.R.).
Hypertension. 2025 Feb;82(2):333-346. doi: 10.1161/HYPERTENSIONAHA.124.24151. Epub 2024 Dec 3.
Circulating proteins in blood are involved in various physiological processes, but their contributions to blood pressure regulation remain partially understood. In traditional observational studies, identifying circulating proteins causally associated with blood pressure is challenging because of potentially unmeasured confounding and possible reverse causality.
Two-sample Mendelian randomization analyses were conducted to estimate the causal effects of 2270 circulating proteins (data sourced from 8 genome-wide association studies) on diastolic blood pressure, systolic blood pressure, and pulse pressure. Colocalization analyses were then used to investigate whether the circulating proteins and blood pressure traits shared causal genetic variants. To further verify the findings, we subsequently performed Steiger filtering analyses, annotation of protein-altering variants, assessment of overlap between protein quantitative trait loci and expression quantitative trait loci, protein-protein interaction and functional enrichment analyses, and drug target evaluation. To provide more potential biomarkers, we further evaluated the epidemiological associations of 2923 circulating proteins with blood pressure and hypertension by cross-sectional and longitudinal analyses using individual data in the UK Biobank.
Mendelian randomization and colocalization analyses identified 121 circulating proteins with putative causal effects on at least 1 blood pressure trait. Many of the identified proteins are enriched in the pathways relevant to blood pressure regulation, and a majority of these proteins are either known drug targets or druggable candidates.
This study has uncovered numerous circulating proteins potentially causally associated with blood pressure, providing insights into the regulatory mechanisms of blood pressure and potential therapeutic targets to facilitate blood pressure management.
血液中的循环蛋白参与多种生理过程,但其对血压调节的作用仍部分未明。在传统的观察性研究中,由于潜在的未测量混杂因素和可能的反向因果关系,确定与血压有因果关联的循环蛋白具有挑战性。
进行两样本孟德尔随机化分析,以估计2270种循环蛋白(数据来源于8项全基因组关联研究)对舒张压、收缩压和脉压的因果效应。然后使用共定位分析来研究循环蛋白和血压特征是否共享因果遗传变异。为进一步验证研究结果,我们随后进行了斯泰格过滤分析、蛋白质改变变异的注释、蛋白质定量性状位点与表达定量性状位点之间重叠的评估、蛋白质-蛋白质相互作用和功能富集分析以及药物靶点评估。为了提供更多潜在的生物标志物,我们使用英国生物银行的个体数据,通过横断面和纵向分析进一步评估了2923种循环蛋白与血压和高血压的流行病学关联。
孟德尔随机化和共定位分析确定了121种对至少一种血压特征有假定因果效应的循环蛋白。许多已鉴定的蛋白在与血压调节相关的途径中富集,并且这些蛋白中的大多数要么是已知的药物靶点,要么是可成药的候选物。
本研究发现了许多可能与血压有因果关联的循环蛋白,为血压调节机制和促进血压管理的潜在治疗靶点提供了见解。