Air pollution accounts for more than 7 million premature deaths worldwide. Using ultrafine carbon black (CB) and ozone (O3) as a model for an environmental co-exposure scenario, the dose response relationships in acute pulmonary injury and inflammation were determined by generating, characterizing, and comparing stable concentrations of CB aerosols (2.5, 5.0, 10.0âmg/m3), O3 (0.5, 1.0, 2.0âppm) with mixture CB + O3 (2.5â+â0.5, 5.0â+â1.0, 10.0â+â2.0). C57BL6 male mice were exposed for 3âh by whole body inhalation and acute toxicity determined after 24âh. CB itself did not cause any alteration, however, a dose response in pulmonary injury/inflammation was observed with O3 and CB + O3. This increase in response with mixtures was not dependent on the uptake but was due to enhanced reactivity of the particles. Benchmark dose modeling showed several-fold increase in potency with CB + O3 compared with CB or O3 alone. Principal component analysis provided insight into response relationships between various doses and treatments. There was a significant correlation in lung responses with charge-based size distribution, total/alveolar deposition, oxidant generation, and antioxidant depletion potential. Lung tissue gene/protein response demonstrated distinct patterns that are better predicted by either particle dose/aerosol responses (interleukin-1β, keratinocyte chemoattractant, transforming growth factor beta) or particle reactivity (thymic stromal lymphopoietin, interleukin-13, interleukin-6). Hierarchical clustering showed a distinct signature with high dose and a similarity in mRNA expression pattern of low and medium doses of CB + O3. In conclusion, we demonstrate that the biological outcomes from CB + O3 co-exposure are significantly greater than individual exposures over a range of aerosol concentrations and aerosol characteristics can predict biological outcome.
Aerosol physicochemical determinants of carbon black and ozone inhalation co-exposure induced pulmonary toxicity.
炭黑和臭氧吸入共同暴露诱发肺毒性的气溶胶物理化学决定因素
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作者:Majumder Nairrita, Kodali Vamsi, Velayutham Murugesan, Goldsmith Travis, Amedro Jessica, Khramtsov Valery V, Erdely Aaron, Nurkiewicz Timothy R, Harkema Jack R, Kelley Eric E, Hussain Salik
| 期刊: | Toxicological Sciences | 影响因子: | 4.100 |
| 时间: | 2023 | 起止号: | 2023 Jan 31; 191(1):61-78 |
| doi: | 10.1093/toxsci/kfac113 | 研究方向: | 其它 |
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