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环境空气中的细颗粒物(PM10和PM2.5)与2型糖尿病风险及作用机制:一项全球系统评价和荟萃分析

Ambient air fine particulate matter (PM10 and PM2.5) and risk of type 2 diabetes mellitus and mechanisms of effects: a global systematic review and meta-analysis.

作者信息

Azizi Salah, Hadi Dehghani Mohammad, Nabizadeh Ramin

机构信息

Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Int J Environ Health Res. 2025 Jun;35(6):1413-1432. doi: 10.1080/09603123.2024.2391993. Epub 2024 Sep 13.

DOI:10.1080/09603123.2024.2391993
PMID:39267465
Abstract

Type 2 diabetes causes early mortality worldwide. Air pollution's relationship with T2DM has been studied. The association between them is unclear because of inconsistent outcomes. Studies on this topic have been published since 2019, but not thoroughly evaluated. We conducted a systematic review and meta-analysis using relevant data. The study protocol was registered in PROSPIRO and conducted according to MOOSE guidelines. In total, 4510 manuscripts were found. After screening, 46 studies were assessed using the OHAT tool. This meta-analysis evaluated fine particles with T2DM using OR and HR effect estimates. Evaluation of publication bias was conducted by Egger's test, Begg's test, and funnel plot analysis. A sensitivity analysis was conducted to evaluate the influence of several studies on the total estimations. Results show a significant association between PM2.5 and PM10 exposure and T2DM. Long-term exposure to fine air particles may increase the prevalence and incidence of T2DM. Fine air pollution increases the chance of developing T2DM mainly via systemic inflammation, oxidative stress, and endoplasmic reticulum stress.

摘要

2型糖尿病在全球范围内导致过早死亡。空气污染与2型糖尿病的关系已得到研究。由于结果不一致,它们之间的关联尚不清楚。自2019年以来已发表了关于该主题的研究,但未进行全面评估。我们使用相关数据进行了系统评价和荟萃分析。研究方案已在PROSPIRO注册,并按照MOOSE指南进行。总共发现了4510篇手稿。筛选后,使用OHAT工具对46项研究进行了评估。这项荟萃分析使用OR和HR效应估计值评估细颗粒物与2型糖尿病的关系。通过Egger检验、Begg检验和漏斗图分析对发表偏倚进行评估。进行敏感性分析以评估多项研究对总体估计值的影响。结果显示,PM2.5和PM10暴露与2型糖尿病之间存在显著关联。长期暴露于细空气颗粒物可能会增加2型糖尿病的患病率和发病率。细空气污染主要通过全身炎症、氧化应激和内质网应激增加患2型糖尿病的几率。

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