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探索高血压、血脂水平与痛风之间的因果途径:孟德尔随机化和美国国家健康与营养检查调查(NHANES)观察结果的见解

Exploring causal pathways between hypertension, lipid levels, and gout: Insights from Mendelian randomization and NHANES observations.

作者信息

Li Mingyang, Nie Qilong, Lv Kangle, Liu Jiaying, Jiang Zeping

机构信息

The Eighth Clinical Medical College, Guangzhou University of Chinese Medicine, Foshan, Guangdong Province, China.

Gaoyao District People's Hospital, Zhaoqing, Guangdong Province, China.

出版信息

Medicine (Baltimore). 2025 Aug 1;104(31):e43638. doi: 10.1097/MD.0000000000043638.

Abstract

Gout, a common form of inflammatory arthritis, is caused by the deposition of monosodium urate crystals in joints and soft tissues. While associations between hypertension, lipid levels, and gout have been explored, their causal relationships remain unclear. This study aimed to examine the causal effects of hypertension and lipid levels on gout using multivariable Mendelian randomization (MR) and observational data from the National Health and Nutrition Examination Survey. We combined data from National Health and Nutrition Examination Survey (2006-2016) and genetic information from genome-wide association studies to investigate the associations between hypertension, lipid levels (high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides (TG), and total cholesterol), and gout. A 2-sample MR analysis was conducted using genetic instruments from genome-wide association studies and FinnGen datasets to determine the causal effects of hypertension and lipid levels on gout. In addition, multivariate Mendelian randomization was employed to simultaneously assess the causal impacts of multiple lipid traits and hypertension on gout. Sensitivity analyses were performed to assess the robustness of the findings. Observational analyses demonstrated a strong positive association between hypertension and gout risk (odds ratio [OR] = 5.35, 95% confidence interval [CI]: 4.45-6.37, P < .001). MR analysis further confirmed a causal relationship between hypertension (inverse variance weighting [IVW] OR = 2.68, 95% CI: 1.60-4.49, P < .001), TG (IVW OR = 1.37, 95% CI: 1.20-1.56, P < .001), low-density lipoprotein cholesterol (IVW OR = 1.34, 95% CI: 1.18-1.54, P < .001), and gout risk. Multivariate Mendelian randomization analysis indicated that while TG showed a significant causal effect on gout, hypertension and other lipid traits did not exhibit significant causal relationships in the multivariate framework. Sensitivity analyses affirmed the consistency and reliability of these findings. This study provides robust evidence for a significant causal relationship between hypertension, lipid levels, and gout, with TG emerging as a key factor in gout pathogenesis. These findings suggest that targeting hypertension and dyslipidemia, particularly TG, may serve as important strategies for the prevention and management of gout. Further research into the underlying biological pathways could offer new insights into gout pathogenesis and potential therapeutic interventions.

摘要

痛风是炎症性关节炎的常见形式,由尿酸钠晶体在关节和软组织中的沉积引起。虽然已经探讨了高血压、血脂水平与痛风之间的关联,但其因果关系仍不明确。本研究旨在使用多变量孟德尔随机化(MR)以及来自美国国家健康与营养检查调查(National Health and Nutrition Examination Survey)的观察性数据,研究高血压和血脂水平对痛风的因果效应。我们将美国国家健康与营养检查调查(2006 - 2016年)的数据与全基因组关联研究的遗传信息相结合,以研究高血压、血脂水平(高密度脂蛋白胆固醇、低密度脂蛋白胆固醇、甘油三酯(TG)和总胆固醇)与痛风之间的关联。使用来自全基因组关联研究和芬兰基因数据集(FinnGen datasets)的遗传工具进行双样本MR分析,以确定高血压和血脂水平对痛风的因果效应。此外,采用多变量孟德尔随机化方法同时评估多种脂质性状和高血压对痛风的因果影响。进行敏感性分析以评估研究结果的稳健性。观察性分析表明高血压与痛风风险之间存在强正相关(优势比[OR]=5.35,95%置信区间[CI]:4.45 - 6.37,P<.001)。MR分析进一步证实高血压(逆方差加权[IVW] OR = 2.68,95% CI:1.60 - 4.49,P<.001)、TG(IVW OR = 1.37,95% CI:1.20 - 1.56,P<.001)、低密度脂蛋白胆固醇(IVW OR = 1.34,95% CI:1.18 - 1.54,P<.001)与痛风风险之间存在因果关系。多变量孟德尔随机化分析表明,虽然TG对痛风有显著的因果效应,但在多变量框架中,高血压和其他脂质性状未表现出显著的因果关系。敏感性分析证实了这些研究结果的一致性和可靠性。本研究为高血压、血脂水平与痛风之间存在显著因果关系提供了有力证据,其中TG是痛风发病机制中的关键因素。这些研究结果表明,针对高血压和血脂异常,特别是TG,可能是预防和管理痛风的重要策略。对潜在生物学途径的进一步研究可能为痛风发病机制和潜在治疗干预提供新的见解。

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