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Inter-continental variability in the relationship of oxidative potential and cytotoxicity with PM2.5 mass

Most fine ambient particulate matter (PM 2.5 )-based epidemiological models use globalized concentration-response (CR) functions assuming that the toxicity of PM 2.5 is solely mass-dependent without considering its chemical composition. Although oxidative potential (OP) has emerged as an alternate m...

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Bibliographic Details
Published in:Nature communications 2024-06, Vol.15 (1), p.5263-13, Article 5263
Main Authors: Salana, Sudheer, Yu, Haoran, Dai, Zhuying, Subramanian, P. S. Ganesh, Puthussery, Joseph V., Wang, Yixiang, Singh, Ajit, Pope, Francis D., Leiva G., Manuel A., Rastogi, Neeraj, Tripathi, Sachchida Nand, Weber, Rodney J., Verma, Vishal
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Language:English
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Summary:Most fine ambient particulate matter (PM 2.5 )-based epidemiological models use globalized concentration-response (CR) functions assuming that the toxicity of PM 2.5 is solely mass-dependent without considering its chemical composition. Although oxidative potential (OP) has emerged as an alternate metric of PM 2.5 toxicity, the association between PM 2.5 mass and OP on a large spatial extent has not been investigated. In this study, we evaluate this relationship using 385 PM 2.5 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 2.5 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 2.5 . These results emphasize the need to develop localized CR functions incorporating other measures of PM 2.5 properties (e.g., OP) to better predict the PM 2.5 -attributed health burdens. This study shows that the relationship between concentrations of ambient fine particulate matter (PM 2.5 ) and its health effects may vary in different regions of the world due to significant spatial variations in the toxicities of PM 2.5 .
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-49649-4