Department of Physiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran Iran.
Arch Environ Occup Health. 2022;77(8):684-694. doi: 10.1080/19338244.2021.2001637. Epub 2022 Mar 4.
Air pollution is a big ecumenical problem associated with public health around the world. The rapid development of nanotechnology worldwide resulted in a significant increase in human exposure with unknown particles, and ultimately leading to an increase in acute and chronic diseases. The effect of nanoparticles on pulmonary fibrosis has been reported in vivo and in vitro studies; however, the results are inconsistent. The present systematic review and meta-analysis of animal preclinical studies was conducted to assess the effect of nanoparticles on pulmonary fibrosis. A systematic search of online databases and gray literature as well as reference lists of retrieved studies was performed up to February 2019 to identify preclinical animal studies. Studies were assessed for methodological quality using the SYstematic Review Center for Laboratory animal Experimentation bias risk tool (SYRCLE's ROB tool). Pooled standardized mean difference (SMD) estimate with corresponding 95% CI was calculated using inverse-variance weights method while random effects meta-analysis was used, taking into account conceptual heterogeneity. To assess the robustness of pooled estimates as well as heterogeneity across studies, sensitivity analysis and Cochran statistic (with statistic) was carried out using Stata 11.0. Of 6494 retrieved studies, 85 were reviewed in depth for eligibility. 16 studies met the criteria for inclusion in this systematic review. The meta-analysis was conducted on 10 studies which had reported the mean of TGF-β in 7 days after exposure by nanoparticles jointly (exposure compared to no exposure). Findings showed that exposure to nanoparticles significantly induced pulmonary fibrosis (SMD: 4.12, 95% CI: 2.57-5.67). A statistical heterogeneity was found [ < 0.001 (Q statistics), = 83.0%] across studies. Nanoparticles were the most influencing in inducing pulmonary fibrosis in animal models. Sensitivity analysis demonstrated consistency of the results, indicating that the meta-analysis model was robust. Publication bias (using visual inspection and statistical tests) was unlikely in the association between nanoparticles and pulmonary fibrosis. We found that the nanoparticles significantly induce pulmonary fibrosis through increasing proinflammatory cytokine TGF-β and histopathological changes.
空气污染是一个全球性的重大公共卫生问题。纳米技术在全球范围内的迅速发展导致人类暴露于未知颗粒的风险显著增加,最终导致急性和慢性疾病的增加。已有体内和体外研究报道了纳米颗粒对肺纤维化的影响;然而,结果并不一致。本系统评价和荟萃分析对动物临床前研究进行了评估,以评估纳米颗粒对肺纤维化的影响。对在线数据库和灰色文献以及检索研究的参考文献列表进行了系统搜索,以确定临床前动物研究。使用 SYstematic Review Center for Laboratory animal Experimentation bias risk tool (SYRCLE's ROB tool) 评估研究的方法学质量。使用逆方差权重法计算标准化均数差(SMD)估计值及其相应的 95%置信区间(CI),同时考虑到概念异质性,采用随机效应荟萃分析。为了评估汇总估计值的稳健性和研究之间的异质性,使用 Stata 11.0 进行了敏感性分析和 Cochran 统计量(与 统计量)。在 6494 项检索研究中,有 85 项进行了深入审查以确定其是否符合纳入标准。16 项研究符合本系统评价的纳入标准。荟萃分析是基于 10 项研究进行的,这些研究共同报告了暴露于纳米颗粒后 7 天 TGF-β的平均值(暴露与无暴露相比)。结果表明,暴露于纳米颗粒可显著诱导肺纤维化(SMD:4.12,95%CI:2.57-5.67)。研究之间存在统计学异质性[<0.001(Q 统计量),=83.0%]。纳米颗粒在诱导动物模型肺纤维化方面的影响最大。敏感性分析表明结果一致,表明荟萃分析模型稳健。通过视觉检查和统计检验发现,纳米颗粒与肺纤维化之间的关联不存在发表偏倚。我们发现,纳米颗粒通过增加促炎细胞因子 TGF-β和组织病理学变化,显著诱导肺纤维化。