暴露于空气污染可能会降低骨矿密度并增加骨质疏松症的发病率:一项孟德尔随机研究。

IF 4.2 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Osteoporosis International Pub Date : 2024-12-01 Epub Date: 2024-09-23 DOI:10.1007/s00198-024-07249-4
Junji Du, Hongbin Cui, Yingjian Zhao, Hongbo Xue, Juwen Chen
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引用次数: 0

摘要

这项研究采用孟德尔随机法揭示了氮氧化物和 PM2.5 暴露与全身骨矿物质密度降低之间的因果关系,凸显了骨质疏松症的潜在风险因素。研究结果强调了在空气污染较严重的人群中采取针对性干预措施的重要性:随着人口老龄化的加剧,骨质疏松症的发病率也在不断上升。观察性研究表明,空气污染可能会降低骨矿物质密度(BMD),从而增加患骨质疏松症的可能性:我们的研究采用了双样本孟德尔随机(MR)分析法,旨在探讨空气污染对全身 BMD 的潜在因果效应。在这项研究中,我们利用了大量公开的全基因组关联研究(GWAS)数据。我们选择了反方差加权法进行主要效应估计,并辅以加权中位数、MR-Egger、简单模式和加权模式等其他方法。然后进行了敏感性分析,以评估异质性、多效性和异常值的存在:在 MR 分析中,我们的研究结果显示氮氧化物(β = - 0.55,95% CI - 0.90 至 - 0.21,P = 0.002)和颗粒物 (PM) 2.5(β = - 0.33,95% CI - 0.59 至 - 0.08,P = 0.010)与全身 BMD 减少之间存在因果关系。在 PM2.5-10、PM10、二氧化氮和全身 BMD 之间没有发现明显的关联(P > 0.05)。严格的敏感性分析验证了这些重要结果的稳定性:我们的研究表明,暴露于氮氧化物和 PM2.5 可能会导致全身 BMD 下降,从而增加骨质疏松症的风险。这一证据对政策制定者和医疗保健提供者具有重要意义,因为它可以为预防骨质疏松症提供有针对性的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exposure to air pollution might decrease bone mineral density and increase the prevalence of osteoporosis: a Mendelian randomization study.

This study, using Mendelian randomization, reveals a causal link between nitrogen oxides and PM2.5 exposure and reduced total-body bone mineral density, highlighting a potential risk factor for osteoporosis. The findings emphasize the importance of targeted interventions in populations exposed to higher air pollution.

Introduction: With the aging of the population, the prevalence of osteoporosis is escalating. Observational studies suggest that air pollution might diminish bone mineral density (BMD), contributing to elevating the likelihood of developing osteoporosis.

Methods: Employing a two-sample Mendelian randomization (MR) analysis, our study aimed to explore the potential causal effect of air pollution on total-body BMD. We utilized extensive publicly available data from genome-wide association studies (GWAS) in this research. Inverse variance weighting was selected for the primary effect estimation, complemented by additional approaches such as the weighted median, MR-Egger, simple mode, and weighted mode. Sensitivity analyses were then conducted to evaluate heterogeneity, pleiotropy, and the presence of outliers.

Results: In the MR analysis, our findings revealed causal associations between nitrogen oxides (β =  - 0.55, 95% CI - 0.90 to - 0.21, P = 0.002) and particulate matter (PM) 2.5 (β =  - 0.33, 95% CI - 0.59 to - 0.08, P = 0.010) and a reduction in total-body BMD. No significant associations were detected between PM2.5-10, PM10, nitrogen dioxide, and total-body BMD (P > 0.05). Rigorous sensitivity analyses verified the stability of these significant results.

Conclusions: Our study illustrates that exposure to nitrogen oxides and PM2.5 may lead to a decrease in total-body BMD, increasing the risk of osteoporosis. This evidence holds crucial implications for policymakers and healthcare providers, as it can provide targeted interventions for the prevention of osteoporosis.

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来源期刊
Osteoporosis International
Osteoporosis International 医学-内分泌学与代谢
CiteScore
8.10
自引率
10.00%
发文量
224
审稿时长
3 months
期刊介绍: An international multi-disciplinary journal which is a joint initiative between the International Osteoporosis Foundation and the National Osteoporosis Foundation of the USA, Osteoporosis International provides a forum for the communication and exchange of current ideas concerning the diagnosis, prevention, treatment and management of osteoporosis and other metabolic bone diseases. It publishes: original papers - reporting progress and results in all areas of osteoporosis and its related fields; review articles - reflecting the present state of knowledge in special areas of summarizing limited themes in which discussion has led to clearly defined conclusions; educational articles - giving information on the progress of a topic of particular interest; case reports - of uncommon or interesting presentations of the condition. While focusing on clinical research, the Journal will also accept submissions on more basic aspects of research, where they are considered by the editors to be relevant to the human disease spectrum.
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