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Kazemi Shariat Panahi H, Dehhaghi M, Guillemin GJ, Peng W, Aghbashlo M, Tabatabaei M. Targeting microRNAs as a promising anti-cancer therapeutic strategy against traffic-related air pollution-mediated lung cancer. Cancer Metastasis Rev 2024; 43:657-672. [PMID: 37910296 DOI: 10.1007/s10555-023-10142-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 09/25/2023] [Indexed: 11/03/2023]
Abstract
Air pollutants are increasingly emitted into the atmosphere because of the high dependency of humans on fossil-derived fuels. Wind speed and direction assisted high dispersibility and uncontrolled nature of air pollution across geo-/demographical borders, making it one of the major global concerns. Besides climate change, air pollution has been found to be associated with various diseases, such as cancer. Lung cancer, which is the world's most common type of cancer, has been found to be associated with traffic-related air pollution. Research and political efforts have been taken to explore green/renewable energy sources. However, these efforts at the current intensity cannot cope with the increasing need for fossil fuels. More specifically, political tensions such as the Russian-Ukraine war, economic tension (e.g., China-USA economic tensions), and other issues (e.g., pandemic, higher inflation rate, and poverty) significantly hindered phasing out fossil fuels. In this context, an increasing global population will be exposed to traffic-related air pollution, which justifies the current uptrend in the number of lung cancer patients. To combat this health burden, novel treatments with higher efficiency and specificity must be designed. One of the potential "life changer" options is microRNA (miRNA)-based therapy to target the expression of oncogenic genes. That said, this review discusses the association of traffic-related air pollution with lung cancer, the changes in indigenous miRNAs in the body during lung cancer, and the current status of miRNA therapeutics for lung cancer treatment. We believe that the article will significantly appeal to a broad readership of oncologists, environmentalists, and those who work in the field of (bio)energy. It may also gain the policymakers' attention to establish better health policies and regulations about air pollution, for example, by promoting (bio)fuel exploration, production, and consumption.
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Affiliation(s)
- Hamed Kazemi Shariat Panahi
- Henan Province Engineering Research Center for Biomass Value-Added Products, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China
- Neuroinflammation Group, Department of Biomedical Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- Biofuel Research Team (BRTeam), Kuala Terengganu, Terengganu, Malaysia
| | - Mona Dehhaghi
- Neuroinflammation Group, Department of Biomedical Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- Biofuel Research Team (BRTeam), Kuala Terengganu, Terengganu, Malaysia
| | | | - Wanxi Peng
- Henan Province Engineering Research Center for Biomass Value-Added Products, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China.
| | - Mortaza Aghbashlo
- Department of Mechanical Engineering of Agricultural Machinery, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.
| | - Meisam Tabatabaei
- Henan Province Engineering Research Center for Biomass Value-Added Products, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China.
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
- Department of Biomaterials, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, India.
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Chen TL, Hsiao TC, Chen AY, Chang KE, Lin TC, Griffith SM, Chou CCK. A traffic-induced shift of ultrafine particle sources under COVID-19 soft lockdown in a subtropical urban area. ENVIRONMENT INTERNATIONAL 2024; 187:108658. [PMID: 38640612 DOI: 10.1016/j.envint.2024.108658] [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: 02/04/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 04/21/2024]
Abstract
During the unprecedented COVID-19 city lockdown, a unique opportunity arose to dissect the intricate dynamics of urban air quality, focusing on ultrafine particles (UFPs) and volatile organic compounds (VOCs). This study delves into the nuanced interplay between traffic patterns and UFP emissions in a subtropical urban setting during the spring-summer transition of 2021. Leveraging meticulous roadside measurements near a traffic nexus, our investigation unravels the intricate relationship between particle number size distribution (PNSD), VOCs mixing ratios, and detailed vehicle activity metrics. The soft lockdown era, marked by a 20-27% dip in overall traffic yet a surprising surge in early morning motorcycle activity, presented a natural experiment. We observed a consequential shift in the urban aerosol regime: the decrease in primary emissions from traffic substantially amplified the role of aged particles and secondary aerosols. This shift was particularly pronounced under stagnant atmospheric conditions, where reduced dilution exacerbated the influence of alternative emission sources, notably solvent evaporation, and was further accentuated with the resumption of normal traffic flows. A distinct seasonal trend emerged as warmer months approached, with aromatic VOCs such as toluene, ethylbenzene, and xylene not only increasing but also significantly contributing to more frequent particle growth events. These findings spotlight the criticality of targeted strategies at traffic hotspots, especially during periods susceptible to weak atmospheric dilution, to curb UFP and precursor emissions effectively. As we stand at the cusp of widespread vehicle electrification, this study underscores the imperative of a holistic approach to urban air quality management, embracing the complexities of primary emission reductions and the resultant shifts in atmospheric chemistry.
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Affiliation(s)
- Tse-Lun Chen
- Institute of Environmental Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan; Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, Taiwan
| | - Ta-Chih Hsiao
- Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, Taiwan; Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan.
| | - Albert Y Chen
- Department of Civil Engineering, National Taiwan University, Taipei, Taiwan
| | - Kuo-En Chang
- Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, Taiwan
| | - Tzu-Chi Lin
- Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, Taiwan
| | - Stephen M Griffith
- Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan
| | - Charles C-K Chou
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan
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Liu J, Ma F, Chen TL, Jiang D, Du M, Zhang X, Feng X, Wang Q, Cao J, Wang J. High-time resolution PM 2.5 source apportionment assisted by spectrum-based characteristics analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169055. [PMID: 38056663 DOI: 10.1016/j.scitotenv.2023.169055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 11/14/2023] [Accepted: 11/30/2023] [Indexed: 12/08/2023]
Abstract
Characteristics extraction and anomaly analysis based on frequency spectrum can provide crucial support for source apportionment of PM2.5 pollution. In this study, an effective source apportionment framework combining the Fast Fourier Transform (FFT)- and Continuous Wavelet Transform (CWT)-based spectral analyses and Positive Matrix Factorization (PMF) receptor model is developed for spectrum characteristics extraction and source contribution assessment. The developed framework is applied to Beijing during the winter heating period with 1-h time resolution. The spectrum characteristics of anomaly frequency, location, duration and intensity of PM2.5 pollution can be captured to gain an in-depth understanding of source-oriented information and provide necessary indicators for reliable PMF source apportionment. The combined analysis demonstrates that the secondary inorganic aerosols make relatively high contributions (50.59 %) to PM2.5 pollution during the winter heating period in Beijing, followed by biomass burning, vehicle emission, coal combustion, road dust, industrial process and firework emission sources accounting for 15.01 %, 11.00 %, 10.70 %, 5.31 %, 3.88 %, and 3.51 %, respectively. The source apportionment result suggests that combining frequency spectrum characteristics with source apportionment can provide consistent rationales for understanding the temporal evolution of PM2.5 pollution, identifying the potential source types and quantifying the related contributions.
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Affiliation(s)
- Jie Liu
- School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China; Institute of Environmental Engineering (IfU), ETH Zürich, 8093 Zürich, Switzerland
| | - Fangjingxin Ma
- School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China
| | - Tse-Lun Chen
- Institute of Environmental Engineering (IfU), ETH Zürich, 8093 Zürich, Switzerland; Laboratories of Advanced Analytical Technologies, Swiss Federal Laboratories for Materials Science and Technology, 8600 Dübendorf, Switzerland
| | - Dexun Jiang
- School of Information Engineering, Harbin University, Harbin 150086, China; Institute of Environmental Engineering (IfU), ETH Zürich, 8093 Zürich, Switzerland
| | - Meng Du
- School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China
| | - Xiaole Zhang
- Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China
| | - Xiaoxiao Feng
- Institute of Environmental Engineering (IfU), ETH Zürich, 8093 Zürich, Switzerland; Laboratories of Advanced Analytical Technologies, Swiss Federal Laboratories for Materials Science and Technology, 8600 Dübendorf, Switzerland
| | - Qiyuan Wang
- Key Laboratory of Aerosol Chemistry and Physics, State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
| | - Junji Cao
- Key Laboratory of Aerosol Chemistry and Physics, State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
| | - Jing Wang
- Institute of Environmental Engineering (IfU), ETH Zürich, 8093 Zürich, Switzerland; Laboratories of Advanced Analytical Technologies, Swiss Federal Laboratories for Materials Science and Technology, 8600 Dübendorf, Switzerland.
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Das M, Proshad R, Chandra K, Islam M, Abdullah Al M, Baroi A, Idris AM. Heavy metals contamination, receptor model-based sources identification, sources-specific ecological and health risks in road dust of a highly developed city. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:8633-8662. [PMID: 37682507 DOI: 10.1007/s10653-023-01736-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/16/2023] [Indexed: 09/09/2023]
Abstract
The present study quantified Ni, Cu, Cr, Pb, Cd, As, Zn, and Fe levels in road dust collected from a variety of sites in Tangail, Bangladesh. The goal of this study was to use a matrix factorization model to identify the specific origin of these components and to evaluate the ecological and health hazards associated with each potential origin. The inductively coupled plasma mass spectrometry was used to determine the concentrations of Cu, Ni, Cr, Pb, As, Zn, Cd, and Fe. The average concentrations of these elements were found to be 30.77 ± 8.80, 25.17 ± 6.78, 39.49 ± 12.53, 28.74 ± 7.84, 1.90 ± 0.79, 158.30 ± 28.25, 2.42 ± 0.69, and 18,185.53 ± 4215.61 mg/kg, respectively. Compared to the top continental crust, the mean values of Cu, Pb, Zn, and Cd were 1.09, 1.69, 2.36, and 26.88 times higher, respectively. According to the Nemerow integrated pollution index (NIPI), pollution load index (PLI), Nemerow integrated risk index (NIRI), and potential ecological risk (PER), 84%, 42%, 30%, and 16% of sampling areas, respectively, which possessed severe contamination. PMF model revealed that Cu (43%), Fe (69.3%), and Cd (69.2%) were mainly released from mixed sources, natural sources, and traffic emission, respectively. Traffic emission posed high and moderate risks for modified NIRI and potential ecological risks. The calculated PMF model-based health hazards indicated that the cancer risk value for traffic emission, natural, and mixed sources had been greater than (1.0E-04), indicating probable cancer risks and that traffic emission posed 38% risk to adult males where 37% for both adult females and children.
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Affiliation(s)
- Mukta Das
- Department of Zoology, Government Saadat College, Tangail, 1903, Bangladesh
| | - Ram Proshad
- Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, Sichuan, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Krishno Chandra
- Faculty of Agricultural Engineering and Technology, Sylhet Agricultural University, Sylhet, 3100, Bangladesh
| | - Maksudul Islam
- Department of Environmental Science, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh
| | - Mamun Abdullah Al
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Aquatic Eco-Health Group, Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
| | - Artho Baroi
- Department of Crop Botany, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh
| | - Abubakr M Idris
- Department of Chemistry, College of Science, King Khalid University, 62529, Abha, Saudi Arabia
- Research Center for Advanced Materials Science (RCAMS), King Khalid University, 62529, Abha, Saudi Arabia
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