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Wei H, Chen C, Di F, Sun C, Wang X, Sun M, Liu N, Zhang M, Li M, Zhang J, Zhang S, Liang X. PM 2.5-induced ferroptosis by Nrf2/Hmox1 signaling pathway led to inflammation in microglia. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 352:124130. [PMID: 38729511 DOI: 10.1016/j.envpol.2024.124130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 04/15/2024] [Accepted: 05/07/2024] [Indexed: 05/12/2024]
Abstract
Particulate matter (PM) has been a dominant contributor to air contamination, which will enter the central nervous system (CNS), causing neurotoxicity. However, the biological mechanism is poorly identified. In this study, C57BL/6J mice were applied to evaluate the neurotoxicity of collected fine particulate matter (PM2.5), via oropharyngeal aspiration at two ambient equivalent concentrations. The Y-maze results showed that PM2.5 exposure in mice would lead to the damage in hippocampal-dependent working memory. In addition, cell neuroinflammation, microglial activation were detected in hippocampus of PM2.5-exposure mice. To confirm the underlying mechanism, the microarray assay was conducted to screen the differentially expressed genes (DEGs) in microglia after PM2.5 exposure, and the results indicated the enrichment of DEGs in ferroptosis pathways. Furthermore, Heme oxygenase-1 (Hmox1) was found to be one of the most remarkably upregulated genes after PM2.5 exposure for 24 h. And PM2.5 exposure induced ferroptosis with iron accumulation through heme degradation by Nrf2-mediated Hmox1 upregulation, which could be eliminated by Nrf2-inhibition. Meanwhile, Hmox1 antagonist zinc protoporphyrin IX (ZnPP) could protect BV2 cells from ferroptosis. The results taken together indicated that PM2.5 resulted in the ferroptosis by causing iron overload through Nrf2/Hmox1 signaling pathway, which could account for the inflammation in microglia.
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Affiliation(s)
- Haiyun Wei
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China; Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Chao Chen
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Fanglin Di
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Changhua Sun
- Shandong Center for Disease Control and Prevention, Jinan, Shandong, 250014, China
| | - Xinzhi Wang
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Meng Sun
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, 250014, China
| | - Natong Liu
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Min Zhang
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Meng Li
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, 250014, China
| | - Jie Zhang
- Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China; Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Shuping Zhang
- Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China; Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Xue Liang
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China; Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China.
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Badami MM, Tohidi R, Sioutas C. Los Angeles Basin's air quality transformation: a long-term investigation on the impacts of PM regulations on the trends of ultrafine particles and co-pollutants. JOURNAL OF AEROSOL SCIENCE 2024; 176:106316. [PMID: 38223364 PMCID: PMC10783618 DOI: 10.1016/j.jaerosci.2023.106316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
This study investigates the long-term trends of ambient ultrafine particles (UFPs) and associated airborne pollutants in the Los Angeles Basin from 2007 to 2022, focusing on the indirect effects of regulations on UFP levels. The particle number concentration (PNC) of UFPs was compiled from previous studies in the area, and associated co-pollutant data, including nitrogen oxides (NOx), carbon monoxide (CO), elemental carbon (EC), organic carbon (OC), and ozone (O3), were obtained from the chemical speciation network (CSN) database. Over the study period, a general decrease was noted in the PNC of UFPs, NOx, EC, and OC, except for CO, the concentration trends of which did not exhibit a consistent pattern. UFPs, NOx, EC, and OC were positively correlated, while O3 had a negative correlation, especially with NOx. Our analysis discerned two distinct subperiods in pollutant trends: 2007-2015 and 2016-2022. For example, there was an overall decrease in the PNC of UFPs at an annual rate of -850.09 particles/cm3/year. This rate was more pronounced during the first sub-period (2007-2015) at -1814.9 particles/cm3/year and then slowed to -227.21 particles/cm3/year in the second sub-period (2016-2023). The first sub-period (2007-2015) significantly influenced pollutant level changes, exhibiting more pronounced and statistically significant changes than the second sub-period (2016-2022). Since 2016, almost all primary pollutants have stabilized, indicating a reduced impact of current regulations, and emphasizing the need for stricter standards. In addition, the study included an analysis of Vehicle Miles Traveled (VMT) trends from 2007 to 2022 within the Los Angeles Basin. Despite the general increase in VMT, current regulations and cleaner technologies seem to have successfully mitigated the potential increase in increase in PNC. Overall, while a decline in UFPs and co-pollutant levels was observed, the apparent stabilization of these levels underscores the need for more stringent regulatory measures and advanced emission standards.
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Affiliation(s)
- Mohammad Mahdi Badami
- University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, California, USA
| | - Ramin Tohidi
- University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, California, USA
| | - Constantinos Sioutas
- University of Southern California, Department of Civil and Environmental Engineering, Los Angeles, California, USA
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