Department of Civil and Environmental Engineering, University of Illinois at Urbana Champaign, Urbana, IL, 61801, USA.
Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada.
Nat Commun. 2024 Jun 19;15(1):5263. doi: 10.1038/s41467-024-49649-4.
Most fine ambient particulate matter (PM)-based epidemiological models use globalized concentration-response (CR) functions assuming that the toxicity of PM is solely mass-dependent without considering its chemical composition. Although oxidative potential (OP) has emerged as an alternate metric of PM toxicity, the association between PM mass and OP on a large spatial extent has not been investigated. In this study, we evaluate this relationship using 385 PM samples collected from 14 different sites across 4 different continents and using 5 different OP (and cytotoxicity) endpoints. Our results show that the relationship between PM mass vs. OP (and cytotoxicity) is largely non-linear due to significant differences in the intrinsic toxicity, resulting from a spatially heterogeneous chemical composition of PM. These results emphasize the need to develop localized CR functions incorporating other measures of PM properties (e.g., OP) to better predict the PM-attributed health burdens.
大多数基于细颗粒物质 (PM) 的流行病学模型使用全球化的浓度反应 (CR) 函数，假设 PM 的毒性仅取决于质量，而不考虑其化学成分。虽然氧化潜力 (OP) 已成为 PM 毒性的替代指标，但在很大的空间范围内，PM 质量与 OP 之间的关联尚未得到研究。在这项研究中，我们使用来自四大洲 14 个不同地点的 385 个 PM 样本，并使用 5 个不同的 OP（和细胞毒性）终点来评估这种关系。我们的结果表明，由于 PM 化学成分在空间上存在显著差异，导致其内在毒性存在显著差异，因此 PM 质量与 OP（和细胞毒性）之间的关系在很大程度上是非线性的。这些结果强调需要开发本地化的 CR 函数，将 PM 特性的其他度量指标（例如 OP）纳入其中，以更好地预测与 PM 相关的健康负担。
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