Guascito Maria Rachele, Lionetto Maria Giulia, Mazzotta Franco, Conte Marianna, Giordano Maria Elena, Caricato Roberto, De Bartolomeo Anna Rita, Dinoi Adelaide, Cesari Daniela, Merico Eva, Mazzotta Laura, Contini Daniele
Department of Environmental and Biological Sciences and Technologies (DISTEBA), University of Salento, Lecce 73100, Italy; Institute of Atmospheric Sciences and Climate, ISAC-CNR, Str. Prv. Lecce-Monteroni km 1.2, 73100 Lecce, Italy.
Department of Environmental and Biological Sciences and Technologies (DISTEBA), University of Salento, Lecce 73100, Italy.
J Hazard Mater. 2023 Apr 15;448:130872. doi: 10.1016/j.jhazmat.2023.130872. Epub 2023 Jan 25.
Atmospheric particulate matter (PM) is one of the major risks for global health. The exact mechanisms of toxicity are still not completely understood leading to contrasting results when different toxicity metrics are compared. In this work, PM was collected at three sites for the determination of acellular oxidative potential (OP), intracellular oxidative stress (OSGC), cytotoxicity (MTT assay), and genotoxicity (Comet assay). The in vitro tests were done on the A549 cell line. The objective was to investigate the correlations among acellular and intracellular toxicity indicators, the variability among the sites, and how these correlations were influenced by the main sources by using PMF receptor model coupled with MLR. The OP, OSGC, and cytotoxicity were strongly influenced by combustion sources. Advection of African dust led to lower-than-average intrinsic toxicity indicators. OP and OSGC showed site-dependent correlations suggesting that acellular OP may not be fully representative of the intracellular oxidative stress at all sites and conditions. Cytotoxicity correlated with both OP and OSGC at two sites out of three and the strength of the correlation was larger with OSGC. Genotoxicity was correlated with cytotoxicity at all sites and correlated with both, OP and OSGC, at two sites out of three. Results suggest that several toxicity indicators are useful to gain a global picture of the potential health effects of PM.
大气颗粒物（PM）是全球健康面临的主要风险之一。其确切的毒性机制仍未完全明确，导致在比较不同毒性指标时出现相互矛盾的结果。在这项研究中，在三个地点采集了PM，用于测定无细胞氧化潜能（OP）、细胞内氧化应激（OSGC）、细胞毒性（MTT法）和遗传毒性（彗星试验）。体外试验在A549细胞系上进行。目的是通过使用与多元线性回归相结合的PMF受体模型，研究无细胞和细胞内毒性指标之间的相关性、不同地点之间的变异性，以及这些相关性如何受到主要来源的影响。OP、OSGC和细胞毒性受到燃烧源的强烈影响。非洲沙尘的平流导致内在毒性指标低于平均水平。OP和OSGC显示出地点依赖性相关性，这表明无细胞OP可能并非在所有地点和条件下都能完全代表细胞内氧化应激。在三个地点中的两个地点，细胞毒性与OP和OSGC均相关，且与OSGC的相关性更强。在所有地点，遗传毒性与细胞毒性相关，在三个地点中的两个地点，遗传毒性与OP和OSGC均相关。结果表明，多种毒性指标有助于全面了解PM对健康的潜在影响。
