染色体损伤与空气颗粒物的实证关系:对暴露人群研究的系统回顾和荟萃分析。
Empirical relationship between chromosomal damage and airborne particulate matter: A systematic review and meta-analysis of studies in exposed populations.
发表日期:2023 Feb 12
作者:
Francisco Carlos da Silva Junior, Leticya Pinto de Araújo, João Paulo de Mendonça Freitas, Nilmara de Oliveira Alves, Stefano Bonassi, Silvia Regina Batistuzzo de Medeiros
来源:
Mutat Res-Rev Mutat
摘要:
环境颗粒物(PM)已成为影响人类健康的环境风险因素之一。尽管已经对环境PM和微核(MN)诱导的关联进行了调查,但PM与基因不稳定性之间的数量关联仍未有定论。我们进行了系统综述和荟萃分析,研究了PM暴露和MN终点之间的关系。我们在四个数据库中系统搜寻于2022年11月发布的关于环境PM和MN诱导之间关系的研究报告。基于均值比(RoM)和95%置信区间(95% CIs),采用随机效应模型进行总体效应的估计,同时进行亚组分析、漏斗图和Egger和Begg检验。研究结果包括了来自九个国家的23项研究,共涉及了4450名参与者。相对于未暴露PM的人群,PM暴露者的MN的荟萃比为2.13(95% CI 1.63-2.79)。亚组分析发现口腔细胞(3.16,95% CI 2.20-4.52)和低经济水平(3.61,95% CI 1.44-9.01)之间存在显著差异。荟萃分析表明,PM暴露与MN频率之间存在关联,并确定了可能的影响修饰因素。使用MN检测等有效方法可以识别人类早期基因损伤,从而预测发展呼吸道疾病,包括肺癌的风险。本文版权归Elsevier B.V.所有,未经许可,严禁转载。
Ambient particulate matter (PM) has gained significant attention as an environmental risk factor for human health. Although the association between ambient PM and micronucleus (MN) induction has been investigated, the quantitative association of PM and genomic instability is inconclusive. We conducted a systematic review and meta-analysis to study the association between PM exposure and MN endpoint. Four databases were systematically searched for studies published up to November 2022, to find papers investigating the relationship between ambient PM and MN induction. Random effect models were conducted to estimate the overall effect based on the Ratio of Means (RoM) with 95% confidence intervals (95% CIs). Subgroup analysis, funnel plot, and Egger and Begg tests, were also performed. Twenty-three studies across nine countries, including 4450 participants, were included. A meta-RoM of 2.13 for MN (95% CI 1.63-2.79) was observed for individuals exposed to ambient PM compared to non-exposed. A significant difference in the subgroup test was found for buccal cells (3.16, 95% CI 2.20-4.52) and low economy level (3.61, 95% CI 1.44-9.01). Our meta-analysis suggests the presence of an association between PM exposure and the frequency of MN and identified the kind of cells and economic status as possible effect modifiers. The use of effective methods, such as the MN assay, enables identification of early genetic damage in humans, which in turn may anticipate the risk of developing respiratory diseases, including lung cancer.Copyright © 2023 Elsevier B.V. All rights reserved.