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Somayajulu M, Muhammed FS, Wright R, McClellan SA, Hazlett LD. Mechanisms of PM 10 Disruption of the Nrf2 Pathway in Cornea. Int J Mol Sci 2024; 25:3754. [PMID: 38612568 PMCID: PMC11011424 DOI: 10.3390/ijms25073754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024] Open
Abstract
We have previously shown that PM10 exposure causes oxidative stress and reduces Nrf2 protein levels, and SKQ1 pre-treatment protects against this damage in human corneal epithelial cells (HCE-2). The current study focuses on uncovering the mechanisms underlying acute PM10 toxicity and SKQ1-mediated protection. HCE-2 were pre-treated with SKQ1 and then exposed to 100 μg/mL PM10. Cell viability, oxidative stress markers, programmed cell death, DNA damage, senescence markers, and pro-inflammatory cytokines were analyzed. Nrf2 cellular location and its transcriptional activity were determined. Effects of the Nrf2 inhibitor ML385 were similarly evaluated. Data showed that PM10 decreased cell viability, Nrf2 transcriptional activity, and mRNA levels of antioxidant enzymes, but increased p-PI3K, p-NFκB, COX-2, and iNOS proteins levels. Additionally, PM10 exposure significantly increased DNA damage, phosphor-p53, p16 and p21 protein levels, and β-galactosidase (β-gal) staining, which confirmed the senescence. SKQ1 pre-treatment reversed these effects. ML385 lowered the Nrf2 protein levels and mRNA levels of its downstream targets. ML385 also abrogated the protective effects of SKQ1 against PM10 toxicity by preventing the restoration of cell viability and reduced oxidative stress. In conclusion, PM10 induces inflammation, reduces Nrf2 transcriptional activity, and causes DNA damage, leading to a senescence-like phenotype, which is prevented by SKQ1.
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Affiliation(s)
| | | | | | | | - Linda D. Hazlett
- Department of Ophthalmology, Visual and Anatomical Sciences, Wayne State University School of Medicine, 540 E. Canfield, Detroit, MI 48201, USA; (M.S.); (F.S.M.); (R.W.); (S.A.M.)
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Maleki H, Sorooshian A, Alam K, Fathi A, Weckwerth T, Moazed H, Jamshidi A, Babaei AA, Hamid V, Soltani F, Goudarzi G. The impact of meteorological parameters on PM 10 and visibility during the Middle Eastern dust storms. JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE & ENGINEERING 2022; 20:495-507. [PMID: 35669815 PMCID: PMC9163216 DOI: 10.1007/s40201-022-00795-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 02/24/2022] [Indexed: 06/15/2023]
Abstract
Air pollution is one of the most pressing issues in populated Middle Eastern cities, in particular for the city of Ahvaz, Iran, imposing deleterious effects on the environment, public health, economy, culture, and other sectors. In this study, we investigate the relationship between meteorological parameters, PM10, AOD, air mass source origin, and visibility during severe desert dust storms (Average3h PM10 > 3200 µg m-3) between 2009 and 2012. Six of seven such events occurred between February and March. Interestingly, for the seven cases there was always an alarming PM10 mass concentration peak (137-553 µg m-3) between 12:00-18:00 (local time) that was 18-24 h before the dominant peak of the storm (3279-4899 µg m-3). The maximum wind speed over the multi-day periods examined for the dust storms is usually observed 6 h before the alarming PM10 peak. The minimum relative humidity, dew point temperature and air pressure occurred ± 3 h around the time of the alarming PM10 peak. Wind speed was the meteorological parameter that was consistently higher around the time of the first peak as compared to the second peak, with the reverse being true for sea level pressure. Based on four years of daily data in Ahvaz, PM10 was positively correlated with wind speed and air temperature and inversely correlated with sea level pressure and RH. An empirically-derived equation with R2 = 0.95 is reported to estimate the maximum PM10 concentration for severe desert dust events in the study region based on meteorological parameters. Finally, AOD is shown to correlate strongly (R2 = 0.86) with PM10 during periods with severe desert dust storms in the region.
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Affiliation(s)
- Heidar Maleki
- Department of Environmental Health Engineering, School of Public Health, Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Armin Sorooshian
- Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ USA
- Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ USA
| | - Khan Alam
- Department of Physics, University of Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - Ahmad Fathi
- Department of Hydraulic Structure, Faculty of Science Water Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
| | - Tammy Weckwerth
- Earth Observing Laboratory, National Center for Atmospheric Research, Boulder, CO USA
| | - Hadi Moazed
- Department of Irrigation and Drainage Engineering, Faculty of Science Water Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
| | - Arsalan Jamshidi
- Department of Environmental Health Engineering, School of Health and Nutrition Sciences, Yasuj University of Medical Sciences, Yasuj, Iran
| | - Ali Akbar Babaei
- Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Environmental Technologies Research Center (ETRC), Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Vafa Hamid
- Department of Environmental Health Engineering, School of Public Health, Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Fatemeh Soltani
- Department of Environmental Health Engineering, School of Public Health, Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Gholamreza Goudarzi
- Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Environmental Technologies Research Center (ETRC), Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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Ain NU, Qamar SUR. Particulate Matter-Induced Cardiovascular Dysfunction: A Mechanistic Insight. Cardiovasc Toxicol 2021; 21:505-516. [PMID: 33886046 DOI: 10.1007/s12012-021-09652-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 04/16/2021] [Indexed: 12/13/2022]
Abstract
Air pollution and particulate matter (PM) are significant factors for adverse health effects most prominently cardiovascular disease (CVD). PM is produced from various sources, which include both natural and anthropogenic. It is composed of biological components, organic compounds, minerals, and metals, which are responsible for inducing inflammation and adverse health effects. However, the adverse effects are related to PM size distribution. Finer particles are a significant cause of cardiovascular events. This review discusses the direct and indirect mechanisms of PM-induced CVD like myocardial infarction, the elevation of blood pressure, cardiac arrhythmias, atherosclerosis, and thrombosis. The two potential mechanisms are oxidative stress and systemic inflammation. Prenatal exposure has also been linked with cardiovascular outcomes later in life. Moreover, we also mentioned the epidemiological studies that strongly associate PM with CVD.
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Affiliation(s)
- Noor Ul Ain
- Departmetnt of Environmental Sciences, Fatima Jinnah Women University, The Mall Road, Kachari Chowk, Rawalpindi, 46000, Pakistan
- Applied Biological Sciences Program, Chulabhorn Graduate Institute, 54 Kamphaeng Phet 6 Road, Lak Si, Bangkok, 10210, Thailand
| | - Safi Ur Rehman Qamar
- Integrated Genomics, Cellular, Developmental, and Biotechnology Laboratory (IGCDBL), University of Agriculture, Faisalabad, Punjab, 38000, Pakistan.
- Applied Biological Sciences Program, Chulabhorn Graduate Institute, 54 Kamphaeng Phet 6 Road, Lak Si, Bangkok, 10210, Thailand.
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