Poluição atmosférica e seu impacto atual na doença de Parkinson: uma revisão sistemática

Adriana Rocha Nunes, Liebert Bernardes Carvalho, Rodrigo Augusto Da Silva, Emanuel Silva Rovai
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Abstract

Introduction. Parkinson's disease (PD) is a highly prevalent neurodegenerative disease affecting millions worldwide, is characterized by the depletion of dopaminergic neurons in the substantia nigra. Airborne smoke is a growing concern and has been linked to acute inflammatory processes in the body and potential neurodegenerative effects due to its transport to the brain through the olfactory bulb. Objective. This systematic review aims to assess the impact of air pollution on PD. Method. The review followed the Reporting Preferred Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and was registered in the Prospective International Register of Systematic Reviews. Electronic literature search was performed in the following databases: PubMed, LILACS and BINACIS. Results. The review process identified 2703 articles, of which 7 studies met the inclusion criteria and were included in the review. The studies investigated the relationship between PD and exposure to various air pollutants, such as PM2.5, NO2 and CO. Individual studies provided mixed results, some found no statistically significant associations, while others showed a positive association between exposure to air pollution and the incidence of PD. Studies using PM2.5 as an indicator of air pollution have consistently demonstrated a possible link with the incidence of PD. Exposure to PM10 and NO2 also showed some evidence of an association with PD risk. Conclusion. This systematic review suggests that there may be an association between air pollution, especially exposure to PM2.5, and the incidence of PD. Objective: This systematic review aims to assess the impact of air pollution on Parkinson's disease. Methods: The review followed the Reporting Preferred Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and was registered in the Prospective International Register of Systematic Reviews (PROSPERO). Electronic literature search was performed in the following databases: PubMed, LILACS and BINACIS. Eligibility criteria included observational cohort studies that assessed the impact of air pollution on PD. Results: The review process identified 2703 articles, of which 7 studies met the inclusion criteria and were included in the review. The studies investigated the relationship between PD and exposure to various air pollutants, such as PM2.5, NO2, SO2, CO and O3. Individual studies provided mixed results, some found no statistically significant associations, while others showed a positive association between exposure to air pollution and the incidence of PD. Studies using PM2.5 as an indicator of air pollution have consistently demonstrated a possible link with the incidence of PD. Exposure to PM10 and NO2 also showed some evidence of an association with PD risk. Conclusion: This systematic review suggests that there may be an association between air pollution, especially exposure to PM2.5, and the incidence of Parkinson's disease.    
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空气污染及其目前对帕金森病的影响:系统综述
简介帕金森病(PD)是一种影响全球数百万人的高发神经退行性疾病,其特征是黑质中的多巴胺能神经元耗竭。空气中的烟雾日益引起人们的关注,它与人体的急性炎症过程和通过嗅球进入大脑的潜在神经退行性病变有关。目的。本系统综述旨在评估空气污染对帕金森病的影响。方法。本综述遵循《系统综述和元分析报告首选项》(PRISMA)指南,并在《系统综述前瞻性国际注册》中注册。在以下数据库中进行了电子文献检索:PubMed、LILACS 和 BINACIS。结果审查过程中发现了 2703 篇文章,其中 7 项研究符合纳入标准并被纳入审查。这些研究调查了猝死症与暴露于各种空气污染物(如 PM2.5、二氧化氮和一氧化碳)之间的关系。各项研究的结果不一,有些研究发现两者之间没有统计学意义,而有些研究则显示暴露于空气污染与脊髓灰质炎发病率之间存在正相关。以 PM2.5 作为空气污染指标的研究一致表明,PM2.5 可能与前列腺增生症的发病率有关。暴露于 PM10 和二氧化氮也有一些证据表明与前列腺增生症风险有关。结论。本系统综述表明,空气污染(尤其是 PM2.5)与肢端麻痹症的发病率之间可能存在关联:本系统综述旨在评估空气污染对帕金森病的影响:本综述遵循系统综述和荟萃分析报告首选项目(PRISMA)指南,并在系统综述前瞻性国际注册中心(PROSPERO)注册。在以下数据库中进行了电子文献检索:PubMed、LILACS 和 BINACIS。资格标准包括评估空气污染对肺结核影响的观察性队列研究:审查过程中发现了 2703 篇文章,其中 7 项研究符合纳入标准并被纳入审查范围。这些研究调查了肢端麻痹症与暴露于各种空气污染物(如 PM2.5、二氧化氮、二氧化硫、一氧化碳和臭氧)之间的关系。各项研究的结果不一,有些研究发现两者之间没有统计学意义,而有些研究则显示暴露于空气污染与脊髓灰质炎发病率之间存在正相关。使用 PM2.5 作为空气污染指标的研究一致表明,PM2.5 可能与前列腺增生症的发病率有关。暴露于 PM10 和二氧化氮也有一些证据表明与前列腺增生症风险有关:本系统综述表明,空气污染(尤其是 PM2.5)与帕金森病的发病率之间可能存在关联。
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