Causal Relationship Between Air Pollutants and Blood Pressure Phenotypes: A Mendelian Randomization Study.

IF 3.1 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Global Heart Pub Date : 2025-02-24 eCollection Date: 2025-01-01 DOI:10.5334/gh.1404
Xianshang Zhu, Huabo Mao, Hongyu Zeng, Fengli Lv, Jiancheng Wang
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Abstract

Objectives: Hypertension is a chronic disease widely prevalent around the world. While previous observational studies have suggested a link between air pollutants and an increased risk of hypertension, causality has not been established. Our study aimed to investigate potential causal relationships between five air pollutants and four blood pressure phenotypes through two-sample Mendelian randomization.

Methods: Two-sample Mendelian randomization (MR) analyses were performed using genome-wide association studies (GWAS) data from the IEU OpenGWAS project. The main analysis method was the inverse variance weighting (IVW) method. Heterogeneity was assessed by Cochran's Q test, while pleiotropy was assessed by MR-Egger regression. Sensitivity analysis was performed by weighted median method, MR-Egger method, simple mode method, weighted mode method, and leave-one-out analysis method.

Results: Mendelian randomization results showed positive causal associations between PM10 with hypertension (OR: 1.49; 95%CI: 1.06, 2.09; P: 2.23 × 10-2) and systolic blood pressure (β: 1.89; 95%CI: 0.32, 3.47; P: 1.85 × 10-2), positive causal associations between PM2.5 and hypertension (OR: 1.26; 95%CI: 1.01, 2.58; P: 4.30 × 10-2), and negative causal associations between NO2 and systolic blood pressure (β: -1.71; 95%CI: -3.39, -0.02; P: 4.74 × 10-2). None of the above associations were subject to pleiotropic bias, and all associations were heterogeneous except for PM10 and hypertension. The leave-one-out analysis showed that no single SNP affected the stability of the results.

Conclusion: Elevated levels of PM2.5 and PM10 have been associated with an increased risk of developing hypertension, with PM10 specifically linked to higher systolic blood pressure levels. Interestingly, NO2 has shown potential as a protective factor in lowering systolic blood pressure. This study clarifies the causal relationship between five air pollutants and elevated blood pressure. Ensuring good ambient air quality is essential in preventing hypertension and reducing the overall disease burden.

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空气污染物与血压表型之间的因果关系:孟德尔随机化研究。
目的:高血压是一种在世界范围内广泛流行的慢性疾病。虽然先前的观察性研究表明空气污染物与高血压风险增加之间存在联系,但因果关系尚未确定。本研究旨在通过双样本孟德尔随机化研究五种空气污染物与四种血压表型之间的潜在因果关系。方法:使用来自IEU OpenGWAS项目的全基因组关联研究(GWAS)数据进行双样本孟德尔随机化(MR)分析。主要分析方法为方差逆加权法(IVW)。异质性采用Cochran’s Q检验,多效性采用MR-Egger回归。采用加权中位数法、MR-Egger法、简单模态法、加权模态法和留一分析法进行敏感性分析。结果:孟德尔随机化结果显示PM10与高血压呈正相关(OR: 1.49;95%ci: 1.06, 2.09;P: 2.23 × 10-2)和收缩压(β: 1.89;95%ci: 0.32, 3.47;P: 1.85 × 10-2), PM2.5与高血压呈正相关(OR: 1.26;95%ci: 1.01, 2.58;P: 4.30 × 10-2),一氧化氮与收缩压之间存在负因果关系(β: -1.71;95%ci: -3.39, -0.02;P: 4.74 × 10-2)。上述关联均不存在多效性偏倚,除PM10和高血压外,所有关联均存在异质性。留一分析表明,没有单个SNP影响结果的稳定性。结论:PM2.5和PM10水平升高与高血压风险增加有关,PM10特别与收缩压水平升高有关。有趣的是,二氧化氮已显示出作为降低收缩压的保护因子的潜力。本研究阐明了五种空气污染物与血压升高之间的因果关系。确保良好的环境空气质量对于预防高血压和减轻总体疾病负担至关重要。
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来源期刊
Global Heart
Global Heart Medicine-Cardiology and Cardiovascular Medicine
CiteScore
5.70
自引率
5.40%
发文量
77
审稿时长
5 weeks
期刊介绍: Global Heart offers a forum for dialogue and education on research, developments, trends, solutions and public health programs related to the prevention and control of cardiovascular diseases (CVDs) worldwide, with a special focus on low- and middle-income countries (LMICs). Manuscripts should address not only the extent or epidemiology of the problem, but also describe interventions to effectively control and prevent CVDs and the underlying factors. The emphasis should be on approaches applicable in settings with limited resources. Economic evaluations of successful interventions are particularly welcome. We will also consider negative findings if important. While reports of hospital or clinic-based treatments are not excluded, particularly if they have broad implications for cost-effective disease control or prevention, we give priority to papers addressing community-based activities. We encourage submissions on cardiovascular surveillance and health policies, professional education, ethical issues and technological innovations related to prevention. Global Heart is particularly interested in publishing data from updated national or regional demographic health surveys, World Health Organization or Global Burden of Disease data, large clinical disease databases or registries. Systematic reviews or meta-analyses on globally relevant topics are welcome. We will also consider clinical research that has special relevance to LMICs, e.g. using validated instruments to assess health-related quality-of-life in patients from LMICs, innovative diagnostic-therapeutic applications, real-world effectiveness clinical trials, research methods (innovative methodologic papers, with emphasis on low-cost research methods or novel application of methods in low resource settings), and papers pertaining to cardiovascular health promotion and policy (quantitative evaluation of health programs.
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