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Guo T, Tian S, Xin H, Du J, Cao X, Feng B, He Y, He Y, Wang D, Zhang B, Liu Z, Yan J, Shen L, Di Y, Chen Y, Jin Q, Pan S, Kioumourtzoglou MA, Gao L, Gao X. Impact of fine particulate matter on latent tuberculosis infection and active tuberculosis in older adults: a population-based multicentre cohort study. Emerg Microbes Infect 2024; 13:2302852. [PMID: 38240283 PMCID: PMC10826784 DOI: 10.1080/22221751.2024.2302852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 01/03/2024] [Indexed: 01/30/2024]
Abstract
Evidence showed that air pollution was associated with an increased risk of tuberculosis (TB). This study aimed to study the impact of long-term exposure to ambient particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5) on the acquisition of LTBI and on the risk of subsequent active disease development among rural older adults from a multicentre cohort, which have not yet been investigated to date. A total of 4790 older adults were included in a population-based, multicentre, prospective cohort study (LATENTTB-NSTM) from 2013 to 2018. The level of long-term exposure to PM2.5 for each participant was assessed by aggregating satellite-based estimates. Logistic regression and time-varying Cox proportional hazards models with province-level random intercepts were employed to assess associations of long-term exposures to PM2.5 with the risk of LTBI and subsequent development of active TB, respectively. Out of 4790 participants, 3284 were LTBI-free at baseline, among whom 2806 completed the one-year follow-up and 127 developed newly identified LTBI. No significant associations were identified between PM2.5 and the risk of LTBI. And among 1506 participants with LTBI at baseline, 30 active TB cases were recorded during the 5-year follow-up. Particularly, an increment of 5 μg/m3 in 2-year moving averaged PM2.5 was associated with a 50.6% increased risk of active TB (HR = 1.506, 95% CI: 1.161-1.955). Long-term air pollution might be a neglected risk factor for active TB development from LTBI, especially for those living in developing or less-developed areas where the air quality is poor.
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Affiliation(s)
- Tonglei Guo
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Sifan Tian
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, People’s Republic of China
| | - Henan Xin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Jiang Du
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Xuefang Cao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Boxuan Feng
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Yijun He
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Yongpeng He
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Dakuan Wang
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, People’s Republic of China
| | - Bin Zhang
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, People’s Republic of China
| | - Zisen Liu
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, People’s Republic of China
| | - Jiaoxia Yan
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, People’s Republic of China
| | - Lingyu Shen
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Yuanzhi Di
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Yanxiao Chen
- College of Public Health, Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Qi Jin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Shouguo Pan
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, People’s Republic of China
| | | | - Lei Gao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China
| | - Xu Gao
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, People’s Republic of China
- Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing, People's Republic of China
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Liao C, He ZW, Yu R, Yu YJ, Liu XR, Kong DL, Wang Y. CircRNA: a rising therapeutic strategy for lung injury induced by pulmonary toxicants. Arch Toxicol 2024; 98:1297-1310. [PMID: 38498160 DOI: 10.1007/s00204-024-03706-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 02/14/2024] [Indexed: 03/20/2024]
Abstract
Lung injury has been a serious medical problem that requires new therapeutic approaches and biomarkers. Circular RNAs (circRNAs) are non-coding RNAs (ncRNAs) that exist widely in eukaryotes. CircRNAs are single-stranded RNAs that form covalently closed loops. CircRNAs are significant gene regulators that have a role in the development, progression, and therapy of lung injury by controlling transcription, translating into protein, and sponging microRNAs (miRNAs) and proteins. Although the study of circRNAs in lung injury caused by pulmonary toxicants is just beginning, several studies have revealed their expression patterns. The function that circRNAs perform in relation to pulmonary toxicants (severe acute respiratory distress syndrome coronavirus-2 (SARS-CoV-2), drug abuse, PM2.5, and cigarette smoke) is the main topic of this review. A variety of circRNAs can serve as potential biomarkers of lung injury. In this review, the biogenesis, properties, and biological functions of circRNAs were concluded, and the relationship between circRNAs and pulmonary toxicants was discussed. It is expected that the new ideas and potential treatment targets that circRNAs provide would be beneficial to research into the molecular mechanisms behind lung injury.
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Affiliation(s)
- Cai Liao
- Department of Clinical Pharmacology, School of Pharmacy, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - Zhen-Wei He
- Department of Neurology, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Rui Yu
- Department of Clinical Pharmacology, School of Pharmacy, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - Ya-Jie Yu
- Department of Clinical Pharmacology, School of Pharmacy, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - Xiao-Ru Liu
- Department of Clinical Pharmacology, School of Pharmacy, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - De-Lei Kong
- Department of Respiratory and Critical Care Medicine, The First Hospital of China Medical University, No. 155, Nanjing Street, Heping District, Shenyang, 110000, Liaoning, China.
| | - Yun Wang
- Department of Clinical Pharmacology, School of Pharmacy, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China.
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Wang JT, Hu W, Xue Z, Cai X, Zhang SY, Li FQ, Lin LS, Chen H, Miao Z, Xi Y, Guo T, Zheng JS, Chen YM, Lin HL. Mapping multi-omics characteristics related to short-term PM 2.5 trajectory and their impact on type 2 diabetes in middle-aged and elderly adults in Southern China. J Hazard Mater 2024; 468:133784. [PMID: 38382338 DOI: 10.1016/j.jhazmat.2024.133784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/29/2024] [Accepted: 02/12/2024] [Indexed: 02/23/2024]
Abstract
The relationship between PM2.5 and metabolic diseases, including type 2 diabetes (T2D), has become increasingly prominent, but the molecular mechanism needs to be further clarified. To help understand the mechanistic association between PM2.5 exposure and human health, we investigated short-term PM2.5 exposure trajectory-related multi-omics characteristics from stool metagenome and metabolome and serum proteome and metabolome in a cohort of 3267 participants (age: 64.4 ± 5.8 years) living in Southern China. And then integrate these features to examine their relationship with T2D. We observed significant differences in overall structure in each omics and 193 individual biomarkers between the high- and low-PM2.5 groups. PM2.5-related features included the disturbance of microbes (carbohydrate metabolism-associated Bacteroides thetaiotaomicron), gut metabolites of amino acids and carbohydrates, serum biomarkers related to lipid metabolism and reducing n-3 fatty acids. The patterns of overall network relationships among the biomarkers differed between T2D and normal participants. The subnetwork membership centered on the hub nodes (fecal rhamnose and glycylproline, serum hippuric acid, and protein TB182) related to high-PM2.5, which well predicted higher T2D prevalence and incidence and a higher level of fasting blood glucose, HbA1C, insulin, and HOMA-IR. Our findings underline crucial PM2.5-related multi-omics biomarkers linking PM2.5 exposure and T2D in humans.
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Affiliation(s)
- Jia-Ting Wang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Wei Hu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Zhangzhi Xue
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang Province, 310030, China; School of Medicine, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, 310030, China
| | - Xue Cai
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang Province, 310030, China; School of Medicine, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, 310030, China
| | - Shi-Yu Zhang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Fan-Qin Li
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Li-Shan Lin
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Hanzu Chen
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Zelei Miao
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang Province, 310030, China; School of Medicine, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, 310030, China
| | - Yue Xi
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Tiannan Guo
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang Province, 310030, China; School of Medicine, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, 310030, China
| | - Ju-Sheng Zheng
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang Province, 310030, China; School of Medicine, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, 310030, China.
| | - Yu-Ming Chen
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Hua-Liang Lin
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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Hammer L, Heazell AEP, Povey A, Myers JE, Thompson JMD, Johnstone ED. Assessment of the association between ambient air pollution and stillbirth in the UK: Results from a secondary analysis of the MiNESS case-control study. BJOG 2024; 131:598-609. [PMID: 37880925 DOI: 10.1111/1471-0528.17696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 09/27/2023] [Accepted: 10/12/2023] [Indexed: 10/27/2023]
Abstract
OBJECTIVE We examined whether the risk of stillbirth was related to ambient air pollution in a UK population. DESIGN Prospective case-control study. SETTING Forty-one maternity units in the UK. POPULATION Women who had a stillbirth ≥28 weeks' gestation (n = 238) and women with an ongoing pregnancy at the time of interview (n = 597). METHODS Secondary analysis of data from the Midlands and North of England Stillbirth case-control study only including participants domiciled within 20 km of fixed air pollution monitoring stations. Pollution exposure was calculated using pollution climate modelling data for NO2 , NOx and PM2.5 . The association between air pollution exposure and stillbirth risk was assessed using multivariable logistic regression adjusting for household income, maternal body mass index (BMI), maternal smoking, Index of Multiple Deprivation quintile and household smoking and parity. MAIN OUTCOME MEASURE Stillbirth. RESULTS There was no association with whole pregnancy ambient air pollution exposure and stillbirth risk, but there was an association with preconceptual NO2 exposure (adjusted odds ratio [aOR] 1.06, 95% CI 1.01-1.08 per microg/m3 ). Risk of stillbirth was associated with maternal smoking (aOR 2.54, 95% CI 1.38-4.71), nulliparity (aOR 2.16, 95% CI 1.55-3.00), maternal BMI (aOR 1.05, 95% CI 1.01-1.08) and placental abnormalities (aOR 4.07, 95% CI 2.57-6.43). CONCLUSIONS Levels of ambient air pollution exposure during pregnancy in the UK, all of were beneath recommended thresholds, are not associated with an increased risk of stillbirth. Periconceptual exposure to NO2 may be associated with increased risk but further work is required to investigate this association.
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Affiliation(s)
- Lucy Hammer
- Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, University of Manchester, Manchester, UK
| | - Alexander E P Heazell
- Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, University of Manchester, Manchester, UK
- Saint Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Science Centre, Manchester, UK
| | - Andrew Povey
- Centre for Occupational and Environmental Health, Division of Population Health, Health Services Research and Primary Care, University of Manchester, Manchester, UK
| | - Jenny E Myers
- Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, University of Manchester, Manchester, UK
- Saint Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Science Centre, Manchester, UK
| | - John M D Thompson
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
- Department of Paediatrics: Child Health and Youth Health, University of Auckland, Auckland, New Zealand
| | - Edward D Johnstone
- Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, University of Manchester, Manchester, UK
- Saint Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Science Centre, Manchester, UK
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Xu S, Ma L, Wu T, Tian Y, Wu L. Assessment of cellular senescence potential of PM2.5 using 3D human lung fibroblast spheroids in vitro model. Toxicol Res (Camb) 2024; 13:tfae037. [PMID: 38500513 PMCID: PMC10944558 DOI: 10.1093/toxres/tfae037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/30/2024] [Accepted: 02/26/2024] [Indexed: 03/20/2024] Open
Abstract
Background Epidemiological studies demonstrate that particulate matter 2.5 (PM2.5) exposure closely related to chronic respiratory diseases. Cellular senescence plays an important role in many diseases. However, it is not fully clear whether PM2.5 exposure could induce cellular senescence in the human lung. In this study, we generated a three-dimensional (3D) spheroid model using isolated primary human lung fibroblasts (HLFs) to investigate the effects of PM2.5 on cellular senescence at the 3D level. Methods 3D spheroids were exposed to 25-100 μg/ml of PM2.5 in order to evaluate the impact on cellular senescence. SA-β-galactosidase activity, cell proliferation, and the expression of key genes and proteins were detected. Results Exposure of the HLF spheroids to PM2.5 yielded a more sensitive cytotoxicity than 2D HLF cell culture. Importantly, PM2.5 exposure induced the rapid progression of cellular senescence in 3D HLF spheroids, with a dramatically increased SA-β-Gal activity. In exploiting the mechanism underlying the effect of PM2.5 on senescence, we found a significant increase of DNA damage, upregulation of p21 protein levels, and suppression of cell proliferation in PM2.5-treated HLF spheroids. Moreover, PM2.5 exposure created a significant inflammatory response, which may be at least partially associated with the activation of TGF-β1/Smad3 axis and HMGB1 pathway. Conclusions Our results indicate that PM2.5 could induce DNA damage, inflammation, and cellular senescence in 3D HLF spheroids, which may provide a new evidence for PM2.5 toxicity based on a 3D model which has been shown to be more in vivo-like in their phenotype and physiology than 2D cultures.
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Affiliation(s)
- Shengmin Xu
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiulong Road, Jingkai District, Hefei, Anhui 230601, China
| | - Lin Ma
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiulong Road, Jingkai District, Hefei, Anhui 230601, China
| | - Tao Wu
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 350 Shushanhu Road, Shushan District, Hefei, Anhui 230031, China
| | - Yushan Tian
- Key Laboratory of Tobacco Biological Effects, China National Tobacco Quality Supervision and Test Center, 6 Cuizhu Street, New & High-tech Industry Development District, Zhengzhou, Henan 450001, China
| | - Lijun Wu
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiulong Road, Jingkai District, Hefei, Anhui 230601, China
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 350 Shushanhu Road, Shushan District, Hefei, Anhui 230031, China
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Kiely L, Neyestani SE, Binte-Shahid S, York RA, Porter WC, Barsanti KC. California Case Study of Wildfires and Prescribed Burns: PM 2.5 Emissions, Concentrations, and Implications for Human Health. Environ Sci Technol 2024; 58:5210-5219. [PMID: 38483184 DOI: 10.1021/acs.est.3c06421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Wildfires are a significant threat to human health, in part through degraded air quality. Prescribed burning can reduce wildfire severity but can also lead to an increase in air pollution. The complexities of fires and atmospheric processes lead to uncertainties when predicting the air quality impacts of fire and make it difficult to fully assess the costs and benefits of an expansion of prescribed fire. By modeling differences in emissions, surface conditions, and meteorology between wildfire and prescribed burns, we present a novel comparison of the air quality impacts of these fire types under specific scenarios. One wildfire and two prescribed burn scenarios were considered, with one prescribed burn scenario optimized for potential smoke exposure. We found that PM2.5 emissions were reduced by 52%, from 0.27 to 0.14 Tg, when fires burned under prescribed burn conditions, considerably reducing PM2.5 concentrations. Excess short-term mortality from PM2.5 exposure was 40 deaths for fires under wildfire conditions and 39 and 15 deaths for fires under the default and optimized prescribed burn scenarios, respectively. Our findings suggest prescribed burns, particularly when planned during conditions that minimize smoke exposure, could be a net benefit for the impacts of wildfires on air quality and health.
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Affiliation(s)
- Laura Kiely
- Chemical and Environmental Engineering, University of California Riverside, Riverside, California 92521, United States
- Now at: Scion, Christchurch 8011, New Zealand
| | - Soroush E Neyestani
- Department of Environmental Sciences, University of California Riverside, Riverside, California 92521, United States
| | - Samiha Binte-Shahid
- Chemical and Environmental Engineering, University of California Riverside, Riverside, California 92521, United States
| | - Robert A York
- Department of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, California 94720, United States
| | - William C Porter
- Department of Environmental Sciences, University of California Riverside, Riverside, California 92521, United States
| | - Kelley C Barsanti
- Chemical and Environmental Engineering, University of California Riverside, Riverside, California 92521, United States
- Atmospheric Chemistry Observations and Modeling, U.S. National Science Foundation National Center for Atmospheric Research, Boulder, Colorado 80301, United States
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Wei S, Xu T, Sang N, Yue H, Chen Y, Jiang T, Jiang T, Yin D. Mixed Metal Components in PM 2.5 Contribute to Chemokine Receptor CCR5-Mediated Neuroinflammation and Neuropathological Changes in the Mouse Olfactory Bulb. Environ Sci Technol 2024; 58:4914-4925. [PMID: 38436231 DOI: 10.1021/acs.est.3c08506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Particulate matter, especially PM2.5, can invade the central nervous system (CNS) via the olfactory pathway to induce neurotoxicity. The olfactory bulb (OB) is the key component integrating immunoprotection and olfaction processing and is necessarily involved in the relevant CNS health outcomes. Here we show that a microglial chemokine receptor, CCR5, is the target of environmentally relevant PM2.5 in the OB to trigger neuroinflammation and then neuropathological injuries. Mechanistically, PM2.5-induced CCR5 upregulation results in the pro-inflammatory paradigm of microglial activation, which subsequently activates TLR4-NF-κB neuroinflammation signaling and induces neuropathological changes that are closely related to neurodegenerative disorders (e.g., Aβ deposition and disruption of the blood-brain barrier). We specifically highlight that manganese and lead in PM2.5 are the main contributors to CCR5-mediated microglial activation and neuroinflammation in synergy with aluminum. Our results uncover a possible pathway of PM2.5-induced neuroinflammation and identify the principal neurotoxic components, which can provide new insight into efficiently diminishing the adverse health effects of PM2.5.
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Affiliation(s)
- Sheng Wei
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Ting Xu
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
- Department of Key Laboratory, Changshu No.2 People's Hospital, Changshu 215500, China
| | - Nan Sang
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan 030006, China
| | - Huifeng Yue
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan 030006, China
| | - Yawen Chen
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
- Postdoctoral Research Station of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Tao Jiang
- Lyon Neuroscience Research Center (CRNL), Sensory Neuro-Ethology Team, 59 Bd Pinel, Bron 69500, France
| | - Tingwang Jiang
- Department of Key Laboratory, Changshu No.2 People's Hospital, Changshu 215500, China
| | - Daqiang Yin
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
- Department of Key Laboratory, Changshu No.2 People's Hospital, Changshu 215500, China
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Ofodile J, Alves MR, Liang Y, Franklin EB, Lunderberg DM, Ivey CE, Singer BC, Nazaroff WW, Goldstein AH. Characterizing PM 2.5 Emissions and Temporal Evolution of Organic Composition from Incense Burning in a California Residence. Environ Sci Technol 2024; 58:5047-5057. [PMID: 38437595 DOI: 10.1021/acs.est.3c08904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Abstract
The chemical composition of incense-generated organic aerosol in residential indoor air has received limited attention in Western literature. In this study, we conducted incense burning experiments in a single-family California residence during vacancy. We report the chemical composition of organic fine particulate matter (PM2.5), associated emission factors (EFs), and gas-particle phase partitioning for indoor semivolatile organic compounds (SVOCs). Speciated organic PM2.5 measurements were made using two-dimensional gas chromatography coupled with high-resolution time-of-flight mass spectrometry (GC×GC-HR-ToF-MS) and semivolatile thermal desorption aerosol gas chromatography (SV-TAG). Organic PM2.5 EFs ranged from 7 to 31 mg g-1 for burned incense and were largely comprised of polar and oxygenated species, with high abundance of biomass-burning tracers such as levoglucosan. Differences in PM2.5 EFs and chemical profiles were observed in relation to the type of incense burned. Nine indoor SVOCs considered to originate from sources other than incense combustion were enhanced during incense events. Time-resolved concentrations of these SVOCs correlated well with PM2.5 mass (R2 > 0.75), suggesting that low-volatility SVOCs such as bis(2-ethylhexyl)phthalate and butyl benzyl phthalate partitioned to incense-generated PM2.5. Both direct emissions and enhanced partitioning of low-volatility indoor SVOCs to incense-generated PM2.5 can influence inhalation exposures during and after indoor incense use.
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Affiliation(s)
- Jennifer Ofodile
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California 94720, United States
| | - Michael R Alves
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California 94720, United States
| | - Yutong Liang
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California 94720, United States
| | - Emily B Franklin
- Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, California 94720, United States
| | - David M Lunderberg
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California 94720, United States
| | - Cesunica E Ivey
- Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, California 94720, United States
| | - Brett C Singer
- Indoor Environment Group, Energy Analysis and Environmental Impacts Division, Building Technologies and Urban Systems Division, Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - William W Nazaroff
- Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, California 94720, United States
| | - Allen H Goldstein
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, Berkeley, California 94720, United States
- Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, California 94720, United States
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Upaphong P, Thonusin C, Wanichthanaolan O, Chattipakorn N, Chattipakorn SC. Consequences of exposure to particulate matter on the ocular surface: Mechanistic insights from cellular mechanisms to epidemiological findings. Environ Pollut 2024; 345:123488. [PMID: 38311159 DOI: 10.1016/j.envpol.2024.123488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/28/2024] [Accepted: 01/31/2024] [Indexed: 02/10/2024]
Abstract
Exposure to air pollutants, especially in the case of particulate matter (PM), poses significant health risks throughout the body. The ocular surface is directly exposed to atmospheric PM making it challenging to avoid. This constant exposure makes the ocular surface a valuable model for investigating the impact of air pollutants on the eyes. This comprehensive review assembles evidence from across the spectrum, from in vitro and in vivo investigations to clinical studies and epidemiological studies, offering a thorough understanding of how PM10 and PM2.5 affect the health of the ocular surface. PM has been primarily found to induce inflammatory responses, allergic reactions, oxidative stress, DNA damage, mitochondrial impairment, and inhibit the proliferation and migration of ocular surface cells. In toto these effects ultimately lead to impaired wound healing and ocular surface damage. In addition, PM can alter tear composition. These events contribute to ocular diseases such as dry eye disease, blepharitis, conjunctivitis, keratitis, limbal stem cell deficiency and pterygium. Importantly, preexisting ocular conditions such as dry eye, allergic conjunctivitis, and infectious keratitis can be worsened by PM exposure. Adaptive responses may partially alleviate the mentioned insults, resulting in morphological and physiological changes that could be different between periods of short-term and long-term exposure. Particle size is not the only determinant of the ocular effect of PM, the composition and solubility of PM also play critical roles. Increasing awareness of how PM affects the ocular surface is crucial in the field of public health, and mechanistic insights of these adverse effects may provide guidelines for preventive and therapeutic strategies in dealing with a polluted environment.
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Affiliation(s)
- Phit Upaphong
- Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Chanisa Thonusin
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand
| | | | - Nipon Chattipakorn
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand
| | - Siriporn C Chattipakorn
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand; Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand; Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Thailand.
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10
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Zhu J, Zhou Y, Lin Q, Wu K, Ma Y, Liu C, Liu N, Tu T, Liu Q. Causal relationship between particulate matter and COVID-19 risk: A mendelian randomization study. Heliyon 2024; 10:e27083. [PMID: 38439838 PMCID: PMC10909784 DOI: 10.1016/j.heliyon.2024.e27083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 02/15/2024] [Accepted: 02/23/2024] [Indexed: 03/06/2024] Open
Abstract
Background Observational studies have linked exposure to fine (PM2.5) and coarse (PM10) particulate matter air pollution with adverse COVID-19 outcomes, including higher incidence and mortality. However, some studies questioned the effect of air pollution on COVID-19 susceptibility, raising questions about the causal nature of these associations. To address this, a less biased method like Mendelian randomization (MR) is utilized, which employs genetic variants as instrumental variables to infer causal relationships in observational data. Method We performed two-sample MR analysis using public genome-wide association studies data. Instrumental variables correlated with PM2.5 concentration, PM2.5 absorbance, PM2.5-10 concentration and PM10 concentration were identified. The inverse variance weighted (IVW), robust adjusted profile score (RAPS) and generalized summary data-based Mendelian randomization (GSMR) methods were used for analysis. Results IVW MR analysis showed PM2.5 concentration [odd ratio (OR) = 3.29, 95% confidence interval (CI) 1.48-7.35, P-value = 0.0036], PM2.5 absorbance (OR = 5.62, 95%CI 1.98-15.94, P-value = 0.0012), and PM10 concentration (OR = 3.74, 95%CI 1.52-9.20, P-value = 0.0041) increased the risk of COVID-19 severity after Bonferroni correction. Further validation confirmed PM2.5 absorbance was associated with heightened COVID-19 severity (OR = 6.05, 95%CI 1.99-18.38, P-value = 0.0015 for RAPS method; OR = 4.91, 95%CI 1.65-14.59, P-value = 0.0042 for GSMR method) and hospitalization (OR = 3.15, 95%CI 1.54-6.47, P-value = 0.0018 for RAPS method). No causal links were observed between particulate matter exposure and COVID-19 susceptibility. Conclusions Our study established a causal relationship between smaller particle pollution, specifically PM2.5, and increased risk of COVID-19 severity and hospitalization. These findings highlight the importance of improving air quality to mitigate respiratory disease progression.
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Affiliation(s)
- Jiayi Zhu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China
| | - Yong Zhou
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China
| | - Qiuzhen Lin
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China
| | - Keke Wu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China
| | - Yingxu Ma
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China
| | - Chan Liu
- International Medical Department, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China
| | - Na Liu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China
| | - Tao Tu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China
| | - Qiming Liu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China
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11
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Moonwiriyakit A, Dinsuwannakol S, Sontikun J, Timpratueang K, Muanprasat C, Khemawoot P. Fine particulate matter PM2.5 and its constituent, hexavalent chromium induce acute cytotoxicity in human airway epithelial cells via inflammasome-mediated pyroptosis. Environ Toxicol Pharmacol 2024; 107:104416. [PMID: 38492761 DOI: 10.1016/j.etap.2024.104416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 03/14/2024] [Indexed: 03/18/2024]
Abstract
PM2.5-induced airway injury contributes to an increased rate of respiratory morbidity. However, the relationship between PM2.5 toxicants and acute cytotoxic effects remains poorly understood. This study aimed to investigate the mechanisms of PM2.5- and its constituent-induced cytotoxicity in human airway epithelial cells. Exposure to PM2.5 resulted in dose-dependent cytotoxicity within 24 h. Among the PM2.5 constituents examined, Cr(VI) at the dose found in PM2.5 exhibited cytotoxic effects. Both PM2.5 and Cr(VI) cause necrosis while also upregulating the expression of proinflammatory cytokine transcripts. Interestingly, exposure to the conditioned PM, obtained from adsorption in the Cr(VI)-reducing agents, FeSO4 and EDTA, showed a decrease in cytotoxicity. Furthermore, PM2.5 mechanistically enhances programmed pyroptosis through the activation of NLRP3/caspase-1/Gasdermin D pathway and increase of IL-1β. These pyroptosis markers were reduced when exposure to conditioned PM. These findings provide a deeper understanding of mechanisms underlying PM2.5 and Cr(VI) in acute airway toxicity.
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Affiliation(s)
- Aekkacha Moonwiriyakit
- Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Samut Prakan 10540, Thailand.
| | - Sasiwimol Dinsuwannakol
- Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Samut Prakan 10540, Thailand
| | - Jenjira Sontikun
- Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Samut Prakan 10540, Thailand
| | - Kanokphorn Timpratueang
- Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Samut Prakan 10540, Thailand
| | - Chatchai Muanprasat
- Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Samut Prakan 10540, Thailand
| | - Phisit Khemawoot
- Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Samut Prakan 10540, Thailand
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12
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Zhu C, Yao M. Real-Time Monitoring of Air Pollution Health Impacts Using Breath-Borne Gaseous Biomarkers from Rats. Environ Sci Technol 2024; 58:4522-4534. [PMID: 38411076 DOI: 10.1021/acs.est.3c08629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Offline techniques are adopted for studying air pollution health impacts, thus failing to provide in situ observations. Here, we have demonstrated their real-time monitoring by online analyzing an array of gaseous biomarkers from rats' exhaled breath using an integrated exhaled breath array sensor (IEBAS) developed. The biomarkers include total volatile organic compounds (TVOC), CO2, CO, NO, H2S, H2O2, O2, and NH3. Specific breath-borne VOCs were also analyzed by a gas chromatography-ion mobility spectrometer (GC-IMS). After real-life ambient air pollution exposures (2 h), the pollution levels of PM2.5 and O3 were both found to significantly affect the relative levels of multiple gaseous biomarkers in rats' breath. Eleven biomarkers, especially NO, H2S, and 1-propanol, were detected as significantly correlated with PM2.5 concentration, while heptanal was shown to be significantly correlated with O3. Likewise, significant changes were also detected in multiple breath-borne biomarkers from rats under lab-controlled O3 exposures with levels of 150, 300, and 1000 μg/m3 (2 h), compared to synthetic air exposure. Importantly, heptanal was experimentally confirmed as a reliable biomarker for O3 exposure, with a notable dose-response relationship. In contrast, conventional biomarkers of inflammation and oxidative stress in rat sera exhibited insignificant differences after the 2 h exposures. The results imply that breath-borne gaseous biomarkers can serve as an early and sensitive indicator for ambient pollutant exposure. This work pioneered a new research paradigm for online monitoring of air pollution health impacts while obtaining important candidate biomarker information for PM2.5 and O3 exposures.
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Affiliation(s)
- Chenyu Zhu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Maosheng Yao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
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13
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Li G, Aboubakri O, Soleimani S, Maleki A, Rezaee R, Safari M, Goudarzi G, Fatehi F. Estimation of PM 2.5 using high-resolution satellite data and its mortality risk in an area of Iran. Int J Environ Health Res 2024:1-13. [PMID: 38461371 DOI: 10.1080/09603123.2024.2325629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 02/26/2024] [Indexed: 03/11/2024]
Abstract
Satellite-based exposure of fine particulate matters has been seldom used as a predictor of mortality. PM2.5 was predicted using Aerosol Optical Depths (AOD) through a two-stage regression model. The predicted PM2.5 was corrected for the bias using two approaches. We estimated the impact by two different scenarios of PM2.5 in the model. We statistically found different distributions of the predicted PM2.5 over the region. Compared to the reference value (5 µg/m3), 90th and 95th percentiles had significant adverse effect on total mortality (RR 90th percentile:1.45; CI 95%: 1.08-1.95 and RR 95th percentile:1.53; CI 95%: 1.11-2.1). Nearly 1050 deaths were attributed to any range of the air pollution (unhealthy range), of which more than half were attributed to high concentration range. Given the adverse effect of extreme values compared to the both scenarios, more efforts are suggested to define local-specific reference values and preventive strategies.
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Affiliation(s)
- Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University, School of Public Health, Beijing, China
| | - Omid Aboubakri
- Environmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Samira Soleimani
- Student Research Committee, Department of Environmental Health Engineering, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Afshin Maleki
- Environmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Reza Rezaee
- Environmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Mahdi Safari
- Environmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Gholamreza Goudarzi
- Center for Climate Change and Health Research (CCCHR), Dezful University of Medical Sciences, Dezful, Iran
- Department of Environmental Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Fariba Fatehi
- Vice Chancellor for Research and Technology, Kurdistan University of Medical Sciences, Sanandaj, Iran
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14
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Khan Y, Banerjee R. Exposure to air pollution as a risk factor for anaemia: a global scoping review. Int J Environ Health Res 2024:1-13. [PMID: 38461370 DOI: 10.1080/09603123.2024.2327532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 03/03/2024] [Indexed: 03/11/2024]
Abstract
Anaemia is an important global health issue with various factors responsible for its occurrence. Though nutritional deficiency is one of the main causes of the disease, evidence suggests a potential link between long-term exposure to ambient air pollution and an increased risk of developing anaemia. Our scoping review evaluates studies conducted across the world to examine possible associations between anaemia and ambient air pollution. Six databases were searched, 153 sources were identified, and 21 articles were included in the review. Apart from one article which showed no significant effect, studies reported positive associations between anaemia and air pollution. This was true for both indoor and outdoor air pollution, various types of particulate matter exposure, and across demographic groups. The review highlights the importance of recognizing exposure to air pollution as a potential risk factor for anaemia and emphasizes the imperative for focused interventions and policy measures to mitigate air pollution.
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Affiliation(s)
- Yasmin Khan
- Department of Health Management, International Institute of Health Management Research, Dwarka, New Delhi, India
| | - Rupsa Banerjee
- Department of Health Management, International Institute of Health Management Research, Dwarka, New Delhi, India
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15
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Wu FL, Wu JH, Dai QL, Xiao ZM, Feng YC. [Spatial Variability and Source Apportionment of PM 2.5 Carbon Components in Tianjin]. Huan Jing Ke Xue 2024; 45:1328-1336. [PMID: 38471849 DOI: 10.13227/j.hjkx.202304116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
The contents of eight carbonaceous subfractions were determined by simultaneously collecting PM2.5 samples from four sites in different functional areas of Tianjin in 2021. The results showed that the organic carbon (OC) concentration was 3.7 μg·m-3 to 4.4 μg·m-3, and the elemental carbon (EC) concentration was 1.6 μg·m-3 to 1.7 μg·m-3, with the highest OC concentration in the central urban area. There was no significant difference in EC concentration. The concentration of PM2.5 showed the distribution characteristics of the surrounding city>central city>peripheral area. The OC/EC minimum ratio method was used to estimate the concentrations of secondary organic carbon (SOC) in PM2.5, and the results showed that the secondary pollution was more prominent in the surrounding city, with SOC accounting for 48.8%. The correlation between carbon subcomponents in each functional area showed the characteristics of the peripheral area>central area>surrounding area, all showing the strongest correlation between EC1 and OC2 and EC1 and OC4. By including the carbon component concentration into the positive definite matrix factorization (PMF) model for source apportionment, the results showed that road dust sources(9.7%-23.5%), coal-combustion sources (10.2%-13.3%), diesel vehicle exhaust (12.6%-20.2%)and gasoline vehicle exhaust (18.9%-38.8%)were the main sources of carbon components in PM2.5 in Tianjin. The pollution sources of carbon components were different in different functional areas, with the central city and peripheral areas mainly affected by gasoline vehicle exhaust; the surrounding city was more prominently affected by the secondary pollution and diesel vehicle exhaust.
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Affiliation(s)
- Fu-Liang Wu
- State Environment Protection Key Laboratory of Urban Particulate Air Pollution Prevention, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Jian-Hui Wu
- State Environment Protection Key Laboratory of Urban Particulate Air Pollution Prevention, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Qi-Li Dai
- State Environment Protection Key Laboratory of Urban Particulate Air Pollution Prevention, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Zhi-Mei Xiao
- Tianjin Eco-Environmental Monitoring Center, Tianjin 300191, China
| | - Yin-Chang Feng
- State Environment Protection Key Laboratory of Urban Particulate Air Pollution Prevention, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
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16
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Du HX, Ren LH, Zhao MS, Han HX, Xu YS. [Characterization of Metal Elements in Atmospheric PM 2.5 and Health Risk Assessment in Heze in Winter from 2017 to 2018]. Huan Jing Ke Xue 2024; 45:1361-1370. [PMID: 38471852 DOI: 10.13227/j.hjkx.202304185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
Atmospheric PM2.5 samples were collected in Heze, Shandong Province, from a total of three sampling sites at Heze College, Huarun Pharmacy, and a wastewater treatment plant between October 15, 2017 and January 31, 2018, to determine the concentrations of 21 metal elements in PM2.5 using inductively coupled plasma mass spectrometry (ICP-MS). The degree of elemental enrichment was also discussed, the health risks and potential heavy metal ecological risks were assessed. The results showed that ρ (PM2.5) ranged from 26.7 to 284.1 μg·m-3 at the three sampling sites during the sampling period, and the concentration values did not differ significantly, all of which were at high pollution levels. The highest concentrations of K were found in the three sampling sites, accounting for 31.03%, 39.47%, and 38.43% of the total, respectively, mainly due to the high contribution of biomass burning in autumn and winter in Heze, a large agricultural city. The highest concentrations of Zn, 89.70, 84.21, and 67.68 ng·m-3, were found in the trace elements at the three sampling sites, respectively. The enrichment factor results showed that the enrichment factor values of Zn, Pb, Sn, Sb, Cd, and Se were higher than 100, among which the enrichment factors of Cd and Se were higher than 2 000 and 4 000, respectively, which were significantly influenced by anthropogenic activities and might have been related to industrial production, metal smelting, road sources, and coal combustion emissions. The health risk results showed that there was some potential non-carcinogenic risk (HQ>0.1 for children and adults) for As and a combined potential non-carcinogenic risk (HI>0.1) and some potential carcinogenic risk (CRT>1×10-6) for both children and adults at the three sampling sites. There was a more significant carcinogenic risk (CRT>1×10-4) for adults at the wastewater treatment plant, and the slightly higher carcinogenic risk for adults than that for children may have been related to the longer outdoor activity and higher PM2.5 exposure for adults. The elements with the highest potential ecological risk values were Cd, As, and Pb, with Cd exhibiting a very high potential ecological risk that should be taken seriously. All three sampling sites showed a very high combined potential ecological risk, with the intensity spatially expressed as Heze College>Huarun Pharmacy>wastewater treatment plant.
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Affiliation(s)
- Hong-Xuan Du
- Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Li-Hong Ren
- Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Ming-Sheng Zhao
- Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
- School of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou 730050, China
| | - Hui-Xia Han
- Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yi-Sheng Xu
- Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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17
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Gui JQ, Yang Y, Wang XQ, Li YW, Yan GX, Xu P. [Characteristics and Source Analysis of Carbonaceous Aerosols in PM 2.5 in Huaxi District, Guiyang]. Huan Jing Ke Xue 2024; 45:1337-1348. [PMID: 38471850 DOI: 10.13227/j.hjkx.202304115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
Carbonaceous aerosol, as an important component of atmospheric aerosol, has a significant impact on atmospheric environmental quality, human health, and global climate change. To investigate the characteristics and sources of carbonaceous aerosol in atmospheric fine particulate matter (PM2.5) in Huaxi District of Guiyang, an in-situ observational study was conducted during different seasons in 2020, and the carbonaceous components of PM2.5 were measured using a thermal-optical carbon analyzer (DRI Model 2015). The results of the study showed that the average concentrations of PM2.5, total carbonaceous aerosol (TCA), organic carbon (OC), secondary organic carbon (SOC), and elemental carbon (EC) concentrations during the observation period were (39.7±22.3), (14.1±7.2), (7.6±3.9), (4.4±2.6), and (2.0±1.0) μg·m-3, respectively, and the mean value of OC/EC was (3.9±0.8). ρ(PM2.5), ρ(TCA), ρ(OC), ρ(SOC), and ρ(EC) showed a seasonal variation pattern with the highest in winter [(52.6±28.6), (17.0±9.6), (9.1±5.2), (6.1±3.9), and (2.4±1.2) μg·m-3, respectively] and the lowest in summer [(25.1±7.1), (11.6±3.6), (6.3±1.9), (3.7±1.2), and (1.6±0.6) μg·m-3, respectively]. The seasonal variation in OC/EC showed summer (4.2±0.8) > winter (3.8±0.9) > autumn (3.8±0.5) > spring (3.7±0.9), indicating the presence of SOC generation in all seasons in Huaxi District. SOC showed a significant correlation with OC (R2 =0.9), and the SOC concentration tended to increase with the increase in atmospheric oxidation. OC showed a good correlation with EC in all seasons, with the highest in autumn (R2 =0.9) and lower correlations in the other three seasons (R2 ranged from 0.74 to 0.75), indicating a common source. According to OC/EC ratio range, it was preliminarily determined that carbonaceous aerosol came from vehicle exhaust emissions, coal burning emissions, and biomass combustion emissions. In order to further quantify the contribution of major emission sources to carbonaceous aerosol, the results of this study using PMF to analyze the sources of carbonaceous aerosol showed that the main sources of carbonaceous aerosol in Huaxi District of Guiyang were coal combustion sources (29.3%), motor vehicle emission sources (21.5%), and biomass combustion sources (49.2%).
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Affiliation(s)
- Jia-Qun Gui
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Key Laboratory of Karst Georesources and Environment, Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China
| | - Yuan Yang
- Guizhou Research and Designing Institute of Environmental Sciences, Guiyang 550081, China
| | - Xian-Qin Wang
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Key Laboratory of Karst Georesources and Environment, Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China
| | - Yun-Wu Li
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Key Laboratory of Karst Georesources and Environment, Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China
| | - Guang-Xuan Yan
- School of Environment, Henan Normal University, Xinxiang 453007, China
| | - Peng Xu
- Guizhou Karst Environmental Ecosystems Observation and Research Station, Ministry of Education, Key Laboratory of Karst Georesources and Environment, Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China
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18
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Liu HJ, Li LQ, Li HL, Ren Y, Xu MY, Jia MK, Liu HZ, Yang Y, Song TS, Hong QH. [Pollution Characteristics, Source Apportionment, and Meteorological Response of Water-soluble Ions in PM 2.5 in Xinxiang, North China]. Huan Jing Ke Xue 2024; 45:1349-1360. [PMID: 38471851 DOI: 10.13227/j.hjkx.202303265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
Pollution variation, source characteristics, and meteorological effects of water-soluble inorganic ions (WSIIs) in PM2.5 were analyzed in Xinxiang city, Henan Province. PM2.5 samples and their chemical components were monitored online by using URG-9000 in four seasons:winter (January, 2022), spring (April, 2022), summer (July, 2022), and fall (October, 2022). The results showed that the TWSIIs had the same seasonal fluctuations as PM2.5. The average seasonal concentrations of WSIIs ranged from 19.62-72.15 μg·m-3, accounting for more than 60% of PM2.5, demonstrating that WSIIs were the major components of PM2.5. The annual concentration value of NO3-/SO42- was 2.11, which showed an increasing trend, suggesting predominantly mobile sources for secondary inorganic aerosols (SNA). Further, the molar concentration value [NH4+]/[NO3-] was 1.95, demonstrating that agriculture emissions were the dominant contributors to atmospheric nitrogen. Furthermore, the backward trajectory analysis showed that the concentrations of Ca2+ and Mg2+ were higher when the northeasterly wind prevailed and the wind speed was high. High values of SOR and NOR were correlated with low temperatures and high relative humidity (T < 8℃, RH > 60%), demonstrating that more gaseous precursors were converted into sulfate and nitrate. At high temperatures (T > 24℃), there was no apparent high NOR value like that for SOR, mainly due to the decomposition of NH4NO3 at high temperatures. Finally, backward trajectories associated with the PMF-resolved results were used to explore the regional transport characteristics. The results illustrated that dust sources in the study areas were mainly influenced by air trajectories originating from the northwest regions, whereas secondary sulfate, secondary nitrate, and biomass sources contributed more to WSIIs when wind speed and altitude air masses were low in the area surrounding the observation site.
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Affiliation(s)
- Huan-Jia Liu
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang 453007, China
| | - Lan-Qing Li
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang 453007, China
| | - Huan-Li Li
- Xin'an Branch of Luoyang Ecological Environment Bureau, Luoyang 471800, China
| | - Yan Ren
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang 453007, China
| | - Meng-Yuan Xu
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang 453007, China
| | - Meng-Ke Jia
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang 453007, China
| | - Heng-Zhi Liu
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang 453007, China
| | - Ying Yang
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang 453007, China
| | - Tian-Song Song
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang 453007, China
| | - Qi-Hang Hong
- Key Laboratory of Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, School of Environment, Henan Normal University, Xinxiang 453007, China
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Cheng PP, Yu F, Chen SJ, Feng X, Jia ZH, Hu SH, Cui XL, Zhou YY, Niu Q, Liang LM, Wang M, Song LJ, He XL, Xiong L, Xiang F, Wang X, Ma WL, Ye H. PM2.5 exposure-induced senescence-associated secretory phenotype in airway smooth muscle cells contributes to airway remodeling. Environ Pollut 2024; 347:123674. [PMID: 38458517 DOI: 10.1016/j.envpol.2024.123674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/25/2024] [Accepted: 02/27/2024] [Indexed: 03/10/2024]
Abstract
Fine particulate matter (PM2.5) has been linked to increased severity and incidence of airway diseases, especially chronic obstructive pulmonary disease (COPD) and asthma. Airway remodeling is an important event in both COPD and asthma, and airway smooth muscle cells (ASMCs) are key cells which directly involved in airway remodeling. However, it was unclear how PM2.5 affected ASMCs. This study investigates the effects of PM2.5 on airway smooth muscle and its mechanism. We first showed that inhaled particulate matter was distributed in the airway smooth muscle bundle, combined with increased airway smooth muscle bundle and collagen deposition in vivo. Then, we demonstrated that PM2.5 induced up-regulation of collagen-I and alpha-smooth muscle actin (α-SMA) expression in rat and human ASMCs in vitro. Next, we found PM2.5 led to rat and human ASMCs senescence and exhibited senescence-associated secretory phenotype (SASP) by autophagy-induced GATA4/TRAF6/NF-κB signaling, which contributed to collagen-I and α-SMA synthesis as well as airway smooth muscle remodeling. Together, our results provided evidence that SASP induced by PM2.5 in airway smooth muscle cells prompted airway remodeling.
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Affiliation(s)
- Pei-Pei Cheng
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Fan Yu
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Key Laboratory of Respiratory Diseases of National Health Commission of China, Wuhan, China
| | - Shuai-Jun Chen
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiao Feng
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zi-Heng Jia
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Shi-He Hu
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiao-Lin Cui
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ya-Ya Zhou
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Qian Niu
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Li-Mei Liang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Meng Wang
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Lin-Jie Song
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Key Laboratory of Respiratory Diseases of National Health Commission of China, Wuhan, China
| | - Xin-Liang He
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Key Laboratory of Respiratory Diseases of National Health Commission of China, Wuhan, China
| | - Liang Xiong
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Key Laboratory of Respiratory Diseases of National Health Commission of China, Wuhan, China
| | - Fei Xiang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Key Laboratory of Respiratory Diseases of National Health Commission of China, Wuhan, China
| | - Xiaorong Wang
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Key Laboratory of Respiratory Diseases of National Health Commission of China, Wuhan, China
| | - Wan-Li Ma
- Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Key Laboratory of Respiratory Diseases of National Health Commission of China, Wuhan, China
| | - Hong Ye
- Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China; Key Laboratory of Respiratory Diseases of National Health Commission of China, Wuhan, China.
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20
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Wiora A, Wiora J, Kasprzyk J. Indication Variability of the Particulate Matter Sensors Dependent on Their Location. Sensors (Basel) 2024; 24:1683. [PMID: 38475219 DOI: 10.3390/s24051683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 02/20/2024] [Accepted: 03/01/2024] [Indexed: 03/14/2024]
Abstract
Particulate matter (PM) suspended in the air significantly impacts human health. Those of anthropogenic origin are particularly hazardous. Poland is one of the countries where the air quality during the heating season is the worst in Europe. Air quality in small towns and villages far from state monitoring stations is often much worse than in larger cities where they are located. Their residents inhale the air containing smoke produced mainly by coal-fired stoves. In the frame of this project, an air quality monitoring network was built. It comprises low-cost PMS7003 PM sensors and ESP8266 microcontrollers with integrated Wi-Fi communication modules. This article presents research results on the influence of the PM sensor location on their indications. It has been shown that the indications from sensors several dozen meters away from each other can differ by up to tenfold, depending on weather conditions and the source of smoke. Therefore, measurements performed by a network of sensors, even of worse quality, are much more representative than those conducted in one spot. The results also indicated the method of detecting a sudden increase in air pollutants. In the case of smokiness, the difference between the mean and median indications of the PM sensor increases even up to 400 µg/m3 over a 5 min time window. Information from this comparison suggests a sudden deterioration in air quality and can allow for quick intervention to protect people's health. This method can be used in protection systems where fast detection of anomalies is necessary.
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Affiliation(s)
- Alicja Wiora
- Department of Measurements and Control Systems, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland
| | - Józef Wiora
- Department of Measurements and Control Systems, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland
| | - Jerzy Kasprzyk
- Department of Measurements and Control Systems, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland
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21
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Shen W, Chen H, Shih C, Samet J, Tong H. Modulatory effects of dietary saturated fatty acids on platelet mitochondrial function following short-term exposure to ambient Particulate Matter (PM 2.5). J Toxicol Environ Health A 2024; 87:215-226. [PMID: 38111233 DOI: 10.1080/15287394.2023.2292709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Exposure to ambient fine particulate matter (PM2.5) was found to produce vascular injury, possibly by activating platelets within days after exposure. The aim of this study was to investigate the modulatory effects of dietary saturated fatty acids on platelet mitochondrial respiratory parameters following short-term inhalational exposure to PM2.5. A total of 22 healthy male volunteers were recruited from the Research Triangle area of North Carolina. Platelets were isolated from fresh whole blood samples and mitochondrial respiratory parameters were measured using an extracellular flux analyzer. Intake of saturated fat was averaged from multiple 24-hr dietary recalls. Daily ambient PM2.5 concentrations were obtained from ambient air quality monitoring stations. Correlation and ANOVA were used in data analyses, along with the pick-a-point method and the Johnson-Neyman technique for probing moderation. After controlling for age and omega-3 index, the intake of dietary saturated fatty acids after reaching 9.3% or higher of the total caloric intake significantly moderated the associations between PM2.5 exposure and several platelet mitochondrial respiratory parameters. In conclusion, dietary saturated fatty acids above 9.3% of total caloric intake influenced the relationship between short-term PM2.5 exposure and platelet mitochondrial respiration. Further research is needed to understand these associations and their implications for cardiovascular health.
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Affiliation(s)
- Wan Shen
- Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA
- Food and Nutrition Program, Department of Public and Allied Health, Bowling Green State University, Bowling Green, OH USA
| | - Hao Chen
- Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA
| | - Chiahao Shih
- Department of Emergency Medicine, University of Toledo, Toledo, OH, USA
| | - James Samet
- Public Health and Integrated Toxicology Division, US Environmental Protection Agency, Chapel Hill, WA, USA
| | - Haiyan Tong
- Public Health and Integrated Toxicology Division, US Environmental Protection Agency, Chapel Hill, WA, USA
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22
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Jang TY, Ho CC, Liang PC, Wu CD, Wei YJ, Tsai PC, Hsu PY, Hsieh MY, Lin YH, Hsieh MH, Wang CW, Yang JF, Yeh ML, Huang CF, Chuang WL, Huang JF, Cheng YY, Dai CY, Chen PC, Yu ML. Air pollution associate with advanced hepatic fibrosis among patients with chronic liver disease. Kaohsiung J Med Sci 2024; 40:304-314. [PMID: 37947277 DOI: 10.1002/kjm2.12781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 10/20/2023] [Accepted: 10/25/2023] [Indexed: 11/12/2023] Open
Abstract
We aimed to investigate the association between air pollution and advanced fibrosis among patients with metabolic associated fatty liver disease (MAFLD) and chronic hepatitis B virus (HBV) and hepatitis C virus (HCV) infections. A total of 1376 participants who were seropositive for HBV surface antigen (HBsAg) or antibodies to HCV (anti-HCV) or had abnormal liver function in a community screening program from 2019 to 2021 were enrolled for the assessment of liver fibrosis using transient elastography. Daily estimates of air pollutants (particulate matter ≤2.5 μm in diameter [PM2.5 ], nitrogen dioxide [NO2 ], ozone [O3 ] and benzene) were aggregated into mean estimates for the previous year based on the date of enrolment. Of the 1376 participants, 767 (52.8%) and 187 (13.6) had MAFLD and advanced fibrosis, respectively. A logistic regression analysis revealed that the factors associated with advanced liver fibrosis were HCV viremia (odds ratio [OR], 3.13; 95% confidence interval [CI], 2.05-4.77; p < 0.001), smoking (OR, 1.79; 95% CI, 1.16-2.74; p = 0.01), age (OR, 1.04; 95% CI, 1.02-1.05; p < 0.001) and PM2.5 (OR, 1.10; 95% CI, 1.05-1.16; p < 0.001). Linear regression analysis revealed that LSM was independently correlated with PM2.5 (β: 0.134; 95% CI: 0.025, 0.243; p = 0.02). There was a dose-dependent relationship between different fibrotic stages and the PM2.5 level (the PM2.5 level in patients with fibrotic stages 0, 1-2 and 3-4: 27.9, 28.4, and 29.3 μg/m3 , respectively; trend p < 0.001). Exposure to PM2.5 , as well as HBV and HCV infections, is associated with advanced liver fibrosis in patients with MAFLD. There was a dose-dependent correlation between PM2.5 levels and the severity of hepatic fibrosis.
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Affiliation(s)
- Tyng-Yuan Jang
- Ph.D. Program in Environmental and Occupational Medicine, College of Medicine, Kaohsiung Medical University and National Health Research Institutes, Kaohsiung, Taiwan
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Internal Medicine, Pingtung Hospital, Ministry of Health and Welfare, Ping-Tung, Taiwan
| | - Chi-Chang Ho
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan
| | - Po-Cheng Liang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Da Wu
- Department of Geomatics, National Cheng Kung University, Tainan, Taiwan
- Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Tainan, Taiwan
| | - Yu-Ju Wei
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Pei-Chien Tsai
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Po-Yao Hsu
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Yen Hsieh
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yi-Hung Lin
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Meng-Hsuan Hsieh
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Wen Wang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jeng-Fu Yang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Lun Yeh
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chung-Feng Huang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wan-Long Chuang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jee-Fu Huang
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ya-Yun Cheng
- School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Chia-Yen Dai
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Pau-Chung Chen
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan
- Department of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei, Taiwan
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Ming-Lung Yu
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- College of Medicine and Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
- School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung, Taiwan
- Division of Hepato-Gastroenterology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
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23
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Xiong Q, Tian X, Xu C, Ma B, Li W, Xia Y, Liu W, Sun B, Ru Q, Shu X. Mediation of PM2.5-induced cytotoxicity: the role of P2X7 receptor in NR8383 cells. Int J Environ Health Res 2024; 34:1602-1614. [PMID: 37394938 DOI: 10.1080/09603123.2023.2230920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 06/25/2023] [Indexed: 07/04/2023]
Abstract
Ambient fine particulate matter (PM2.5) is a threat to public health. The P2 X 7purinergic receptor (P2X7R) is a modulator that responds to inflammation. Yet the role of P2X7R in the mediation of PM2.5-induced pulmonary cytotoxicity is rarely investigated. In this study, the expression of P2X7R and its effect on cell viability, oxidative damage, apoptosis, mitochondrial dysfunction and underlying mechanism following PM2.5 treatment in rat alveolar macrophages (NR8383) were analyzed. The outcome indicated that PM2.5 exposure significantly increased the expression of P2X7R, while P2X7R antagonist oATP markedly alleviate the production of reactive oxygen species (ROS), Nitrite Oxidation (NO), mitochondrial membrane potential, apoptosis rate, and release of inflammatory cytokines. In contrast, P2X7 agonist BzATP showed opposite effect in PM2.5-treated NR8383 cells. Therefore, these results demonstrated that P2X7R participated in PM2.5-induced pulmonary toxicity, while the blockade of P2X7R is a promising therapeutic approach of treating PM2.5-induced lung diseases.
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Affiliation(s)
- Qi Xiong
- Wuhan Institutes of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan City, Hubei Province, China
| | - Xiang Tian
- Wuhan Institutes of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan City, Hubei Province, China
| | - Congyue Xu
- Wuhan Institutes of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan City, Hubei Province, China
| | - Baomiao Ma
- Wuhan Institutes of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan City, Hubei Province, China
| | - Wenshuang Li
- Wuhan Institutes of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan City, Hubei Province, China
| | - Yiyuan Xia
- Wuhan Institutes of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan City, Hubei Province, China
| | - Wei Liu
- Wuhan Institutes of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan City, Hubei Province, China
| | - Binlian Sun
- Wuhan Institutes of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan City, Hubei Province, China
| | - Qin Ru
- School of Health and Physical Education, Jianghan University, Wuhan City, Hubei Province, China
| | - Xiji Shu
- Wuhan Institutes of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan City, Hubei Province, China
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24
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Xiong A, He X, Liu S, Ran Q, Zhang L, Wang J, Jiang M, Niu B, Xiong Y, Li G. Oxidative stress-mediated activation of FTO exacerbates impairment of the epithelial barrier by up-regulating IKBKB via N6-methyladenosine-dependent mRNA stability in asthmatic mice exposed to PM2.5. Ecotoxicol Environ Saf 2024; 272:116067. [PMID: 38325270 DOI: 10.1016/j.ecoenv.2024.116067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 02/09/2024]
Abstract
In order to comprehend the underlying mechanisms contributing to the development and exacerbation of asthma resulting from exposure to fine particulate matter (PM2.5), we established an asthmatic model in fat mass and obesity-associated gene knockdown mice subjected to PM2.5 exposure. Histological analyses using hematoxylin-eosin (HE) and Periodic Acid-Schiff (PAS) staining revealed that the down-regulation of the fat mass and obesity-associated gene (Fto) expression significantly ameliorated the pathophysiological alterations observed in asthmatic mice exposed to PM2.5. Furthermore, the down-regulation of Fto gene expression effectively attenuated damage to the airway epithelial barrier. Additionally, employing in vivo and in vitro models, we elucidated that PM2.5 modulated FTO expression by inducing oxidative stress. Asthmatic mice exposed to PM2.5 exhibited elevated Fto expression, which correlated with increased levels of reactive oxygen species. Similarly, when cells were exposed to PM2.5, FTO expression was up-regulated in a ROS-dependent manner. Notably, the administration of N-acetyl cysteine successfully reversed the PM2.5-induced elevation in FTO expression. Concurrently, we performed transcriptome-wide Methylated RNA immunoprecipitation Sequencing (MeRIP-seq) analysis subsequent to PM2.5 exposure. Through the implementation of Gene Set Enrichment Analysis and m6A-IP-qPCR, we successfully identified inhibitor of nuclear factor kappa B kinase subunit beta (IKBKB) as a target gene regulated by FTO. Interestingly, exposure to PM2.5 led to increased expression of IKBKB, while m6A modification on IKBKB mRNA was reduced. Furthermore, our investigation revealed that PM2.5 also regulated IKBKB through oxidative stress. Significantly, the down-regulation of IKBKB effectively mitigated epithelial barrier damage in cells exposed to PM2.5 by modulating nuclear factor-kappa B (NF-κB) signaling. Importantly, we discovered that decreased m6A modification on IKBKB mRNA facilitated by FTO enhanced its stability, consequently resulting in up-regulation of IKBKB expression. Collectively, our findings propose a novel role for FTO in the regulation of IKBKB through m6A-dependent mRNA stability in the context of PM2.5-induced oxidative stress. Therefore, it is conceivable that the utilization of antioxidants or inhibition of FTO could represent potential therapeutic strategies for the management of asthma exacerbated by PM2.5 exposure.
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Affiliation(s)
- Anying Xiong
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, the Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu third people's hospital branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Xiang He
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, the Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu third people's hospital branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China; National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, China.
| | - Shengbin Liu
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, the Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu third people's hospital branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Qin Ran
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, the Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu third people's hospital branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Lei Zhang
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, the Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu third people's hospital branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China; State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China
| | - Junyi Wang
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, the Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu third people's hospital branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Manling Jiang
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, the Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu third people's hospital branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China; State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China
| | - Bin Niu
- Department of Pulmonary and Critical Care Medicine, Chengdu third people's hospital branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China
| | - Ying Xiong
- Department of Pulmonary and Critical Care Medicine, Sichuan friendship hospital, Chengdu 610000, China.
| | - Guoping Li
- Laboratory of Allergy and Precision Medicine, Chengdu Institute of Respiratory Health, the Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu 610031, China; Department of Pulmonary and Critical Care Medicine, Chengdu third people's hospital branch of National Clinical Research Center for Respiratory Disease, Affiliated Hospital of ChongQing Medical University, Chengdu 610031, China.
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Ei ZZ, Srithawirat T, Chunhacha P, Chaotham C, Arunmanee W, Phookphan P, Chanvorachote P. Resveratrol Shows Potent Senescence Reversal in Experimental Cellular Models of Particular Matter 2.5-induced Cellular Senescence in Human Dermal Papilla Cells. In Vivo 2024; 38:665-673. [PMID: 38418101 PMCID: PMC10905444 DOI: 10.21873/invivo.13487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 12/13/2023] [Accepted: 12/14/2023] [Indexed: 03/01/2024]
Abstract
BACKGROUND/AIM Particular matter 2.5 (PM2.5) pollution is associated with senescence induction. Since the impact of PM2.5 on stem cell senescence and potential compounds capable of reversing this process are largely unknown, this study aimed to examine the senescence effects of PM2.5 on dermal papilla (DP) stem cells. Additionally, we explored the reversal of these effects using natural product-derived substances, such as resveratrol (Res) or Emblica fruits, soybean, and Thunbergia Laurifolia (EST) extract. MATERIALS AND METHODS Cell senescence was determined using the β-Galactosidase (SA-β-gal) assay. The senescence-associated secretory phenotype (SASP) was detected using real-time RT-PCR. For senescence markers, the mRNA and protein levels of p21 and p16 were measured using real-time RT-PCR and immunofluorescence analysis. RESULTS Subtoxic concentration of PM2.5 (50 μg/ml) induced senescence in DP cells. Resveratrol (50, 100 μM) and plant extracts (400, 800 μg/ml) reversed PM2.5-induced cell senescence. Treatment with Res or EST significantly decreased SA-β-gal staining in PM2.5-treated cells. Furthermore, Res and EST decreased the mRNA levels of SASP, including IL1α, IL7, IL8, and CXCL1. DP cells exposed to PM2.5 exhibited an increase in p21 and p16 mRNA and protein levels, which could be reversed by the addition of Res or EST. Res and EST could reduce p21 and p16 in senescent cells approximately 3- and 2-fold, respectively, compared to untreated senescent cells. CONCLUSION PM2.5 induced senescence in human DP stem cells. Res and EST extract potentially reverse the senescence phenotypes of such cells.
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Affiliation(s)
- Zin Zin Ei
- Department of Pharmacology and Physiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence in Cancer Cell and Molecular Biology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Thunwadee Srithawirat
- Department of Environmental Science, Pibulsongkram Rajabhat University, Phitsanulok, Thailand
| | - Preedakorn Chunhacha
- Center of Excellence in Cancer Cell and Molecular Biology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
- Department of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Chatchai Chaotham
- Center of Excellence in Cancer Cell and Molecular Biology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
- Department of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Wanatchaporn Arunmanee
- Center of Excellence in Cancer Cell and Molecular Biology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
- Department of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Preeyaphan Phookphan
- Department of Pharmacology and Physiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence in Cancer Cell and Molecular Biology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Pithi Chanvorachote
- Department of Pharmacology and Physiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand;
- Center of Excellence in Cancer Cell and Molecular Biology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
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Takahara H, Morikawa A, Kitayama S, Matsuyama T, Tsuji K. Elemental analysis of hourly collected air filters with X-ray fluorescence under grazing incidence. ANAL SCI 2024; 40:519-529. [PMID: 38143248 DOI: 10.1007/s44211-023-00483-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/27/2023] [Indexed: 12/26/2023]
Abstract
The X-ray fluorescence under grazing incidence condition (XRF-UGI) was applied for the direct analysis of aerosol filters. Particulate matter less than 2.5 microns (PM2.5) was collected hourly on polytetrafluoroethylene filters using a continuous PM monitor with a virtual impactor method. Although the sampling mass is in trace amounts of 5-30 μg, the metallic contents, such as V, Cr, Mn, Fe, Zn, and Pb, can be measured at sub-ng m-3 detection limits. The effects of the non-uniformity and poor flatness of the PM filters were discussed with regard to the measurement repeatability. The relationship between the XRF-UGI intensities and the mass concentrations obtained via conventional X-ray fluorescence (XRF) analysis was confirmed using the fundamental parameter method. Finally, quantification was successfully demonstrated using the XRF-UGI results with the relative sensitivity factors.
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Affiliation(s)
- Hikari Takahara
- X-ray Product Div., Rigaku Corporation, 14-8 Akaoji-cho, Takatsuki, Osaka, 569-1146, Japan.
| | - Atsushi Morikawa
- X-ray Product Div., Rigaku Corporation, 14-8 Akaoji-cho, Takatsuki, Osaka, 569-1146, Japan
| | - Saori Kitayama
- Engineering Sect., Kimoto Electric Co., Ltd., 3-1, Funabashi-cho, Tennoji-ku, Osaka, 543-0024, Japan
| | - Tsugufumi Matsuyama
- Graduate School of Engineering, Osaka Metropolitan University, 3-3-138 Sugimoto-cho, Sumiyoshi-ku, Osaka, 558-8585, Japan
| | - Kouichi Tsuji
- Graduate School of Engineering, Osaka Metropolitan University, 3-3-138 Sugimoto-cho, Sumiyoshi-ku, Osaka, 558-8585, Japan
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Kriit HK, Forsberg B, Nilsson Sommar J. Increase in sick leave episodes from short-term fine particulate matter exposure: A case-crossover study in Stockholm, Sweden. Environ Res 2024; 244:117950. [PMID: 38104916 DOI: 10.1016/j.envres.2023.117950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/05/2023] [Accepted: 12/12/2023] [Indexed: 12/19/2023]
Abstract
Air pollution's short-term effects on a wide range of health outcomes have been studied extensively, primarily focused on vulnerable groups (e.g., children and the elderly). However, the air pollution effects on the adult working population through sick leave have received little attention. This study aims to 1) estimate the associations between particulate matter ≤2.5 μm3 (PM2.5) and sick leave episodes and 2) calculate the attributable number of sick leave days and the consequential productivity loss in the City of Stockholm, Sweden. Individual level daily sick leave data was obtained from Statistics Sweden for the years 2011-2019. Daily average concentrations of PM2.5 were obtained from the main urban background monitoring station in Stockholm. A case-crossover study design was applied to estimate the association between short-term PM2.5 and onset of sick leave episodes. Conditional logistic regression was used to estimate the relative increase in odds of onset per 10 μg/m3 of PM2.5, adjusting for temperature, season, and pollen. A human capital method was applied to estimate the PM2.5 attributable productivity loss. In total, 1.5 million (M) individual sick leave occurrences were studied. The measured daily mean PM2.5 concentration was 4.2 μg/m3 (IQR 3.7 μg/m3). The odds of a sick leave episode was estimated to increase by 8.5% (95% CI: 7.8-9.3) per 10 μg/m3 average exposure 2-4 days before. Sub-group analysis showed that private sector and individuals 15-24 years old had a lower increase in odds of sick leave episodes in relation to PM2.5 exposure. In Stockholm, 4% of the sick leave episodes were attributable to PM2.5 exposure, corresponding to €17 M per year in productivity loss. Our study suggests a positive association between PM2.5 and sick leave episodes in a low exposure area.
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Affiliation(s)
- Hedi Katre Kriit
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden; Health Economics and Health Financing Group, Institute of Global Health, Heidelberg University, Heidelberg, Germany; Climate-Sensitive Infectious Disease Lab, Interdisciplinary Centre of Scientific Computing, Heidelberg University, Heidelberg, Germany; Climate-smart Health Systems, Institute of Global Health, Heidelberg University, Heidelberg, Germany.
| | - Bertil Forsberg
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Johan Nilsson Sommar
- Section of Sustainable Health, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
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Ou C, Li F, Zhang J, Jiang P, Li W, Kong S, Guo J, Fan W, Zhao J. Multi-scenario PM2.5 distribution and dynamic exposure assessment of university community residents: Development and application of intelligent health risk management system integrated low-cost sensors. Environ Int 2024; 185:108539. [PMID: 38460243 DOI: 10.1016/j.envint.2024.108539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 02/01/2024] [Accepted: 02/26/2024] [Indexed: 03/11/2024]
Abstract
Exposure scenario and receptor behavior significantly affect PM2.5 exposure quantity of persons and resident groups, which in turn influenced indoor or outdoor air quality & health management. An Internet of Things (IoT) system, EnvironMax+, was developed to accurately and conveniently assess residential dynamic PM2.5 exposure state. A university community "QC", as the application area, was divided into four exposure scenarios and five groups of residents. Low-cost mobile sensors and indoor/outdoor pollution migration (IOP) models jointly estimated multi-scenario real-time PM2.5 concentrations. Questionnaire was used to investigate residents' indoor activity characteristics. Mobile application (app) "Air health management (AHM)" could automatic collect residents' activity trajectory. At last, multi-scenario daily exposure concentrations of each residents-group were obtained. The results showed that residential exposure scenario was the most important one, where residents spend about 60 % of their daily time. Closing window was the most significant behavior affecting indoor contamination. The annual average PM2.5 concentration in the studied scenarios: residential scenario (RS) < public scenario (PS) < outdoor scenario (OS) < catering scenario (CS). Except for CS, the outdoor PM2.5 in other scenarios was higher than indoor by 5-10 μg/m3. The multi-scenario population weighted annual average exposure concentration was 37.1 μg/m3, which was 78 % of the annual average outdoor concentration. The exposure concentration of 5 groups: cooks > outdoor workers > indoor workers > students > the elderly, related to their daily activity time proportion in different exposure scenario.
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Affiliation(s)
- Changhong Ou
- Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China; School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - Fei Li
- Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China; School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China.
| | - Jingdong Zhang
- Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China; School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China.
| | - Pei Jiang
- Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China; School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - Wei Li
- Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China; School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - Shaojie Kong
- Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China; School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - Jinyuan Guo
- Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China; School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - Wenbo Fan
- Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China; School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - Junrui Zhao
- Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China; School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China
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Suhaimi NF, Jalaludin J, Roslan NIS. Traffic-Related Air Pollution (TRAP) in relation to respiratory symptoms and lung function of school-aged children in Kuala Lumpur. Int J Environ Health Res 2024; 34:1384-1396. [PMID: 37160687 DOI: 10.1080/09603123.2023.2211020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 05/02/2023] [Indexed: 05/11/2023]
Abstract
Traffic-Related Air Pollution (TRAP) exposure has been connected to significant health impacts among children. A cross-sectional comparative study was conducted among school children in Malaysia to determine the relationship between their exposure to TRAP and respiratory health effects. Air monitoring was conducted in schools and residences, while the children's routines were investigated using a diary of daily activities. Respondents' background and respiratory symptoms were obtained from a validated questionnaire, while a spirometry test was performed to determine their lung function status. The distances between schools and residences from the had contributed to the higher concentration of air pollutants in this study, which had associations with the children's respiratory symptoms and lung function status. PM2.5 was the main predictor influencing the respondents' respiratory symptoms and lung function abnormalities. In conclusion, exposure of school children to a high TRAP level might increase their risk of getting respiratory symptoms and lung function reduction.
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Affiliation(s)
- Nur Faseeha Suhaimi
- Environmental and Occupational Health, Universiti Putra Malaysia, Serdang, Malaysia
| | - Juliana Jalaludin
- Environmental and Occupational Health, Universiti Putra Malaysia, Serdang, Malaysia
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Jawaa ZT, Biswas KF, Khan MF, Moniruzzaman M. Source and respiratory deposition of trace elements in PM 2.5 at an urban location in Dhaka city. Heliyon 2024; 10:e25420. [PMID: 38375259 PMCID: PMC10875380 DOI: 10.1016/j.heliyon.2024.e25420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 01/16/2024] [Accepted: 01/25/2024] [Indexed: 02/21/2024] Open
Abstract
Air pollution has been creating severe environmental crises in Dhaka. This city ranks at the top among the major cities of the world. A multidimensional study is needed to assess the severity of this crisis. This study aims to determine the sources of trace elements in PM2.5 and their effects on health. We measured concentrations of 15 trace elements in PM2.5 every hour for eight days using a well-equipped mobile air quality monitoring system integrated with an automatic sampling system (AQMS, Horiba, Japan). We analyzed the concentrations of the trace elements to identify their potential sources and diurnal variation and to compute the respiratory deposition dose of the trace elements to estimate the health risks they pose. The daily average concentration of PM2.5 was higher than the allowable limit set by the World Health Organization (WHO). Among the trace elements, sulfur had the highest concentration and vanadium was the lowest. We found out that concentrations of the elements were the highest during the middle of the day and the lowest during midnight. Four source profiles of PM2.5 were identified by positive matrix factorization (PMF). Soil dust with sulfur-rich petroleum contributed about 65 %, industrial and non-exhaust emissions about 5 % each, and heavy engine oil combustion about 25 % to air pollution. Air mass backward trajectory analysis indicated that Dhaka's air contains both local and transboundary pollution. According to the determined respiratory deposition dose of the elements, males had higher deposition than females during heavy exercise. Sulfur and vanadium have the highest and lowest respiratory deposition dose, respectively. The highest amount of deposition occurred in the upper airways. We expect that this study will help professionals develop effective strategies to prevent and mitigate the emission of air pollutants.
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Affiliation(s)
- Zarin Tasneem Jawaa
- Department of Environmental Science and Management, North South University, Dhaka, Bangladesh
| | - Karabi Farhana Biswas
- Department of Environmental Science and Management, North South University, Dhaka, Bangladesh
| | - Md Firoz Khan
- Department of Environmental Science and Management, North South University, Dhaka, Bangladesh
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31
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Liu Z, Wan C. Air pollution and the burden of long-term care: Evidence from China. Health Econ 2024. [PMID: 38393964 DOI: 10.1002/hec.4816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 01/10/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024]
Abstract
We examine the causal effects of PM2.5 exposure on the burden of long-term care (LTC) by matching a satellite-based PM2.5 (particulate matter smaller than 2.5 micrometers (μm) in diameter) dataset with a nationally representative longitudinal study in China from 2011 to 2018. We find significant adverse effects of PM2.5 exposure-instrumented by thermal inversions-on the LTC burden. A 10 μg/m3 increase in annual PM2.5 exposure increases average monthly hours of LTC and the associated financial costs by 28 h and CNY 452, respectively. The effects are greater for those who had never smoked nor experienced severe PM2.5 pollution (annual average PM2.5 > 35 μg/m3 ) in the previous 5 years. We also find that as PM2.5 increases, chronic diseases, particularly cardiovascular diseases, could lead to a higher likelihood of LTC dependency but reduce the total hours and costs of LTC provision. Finally, we find that PM2.5 reduces the total years of LTC need, suggesting that PM2.5 increases LTC costs by increasing the severity of LTC dependency, rather than the duration of LTC need. Our findings can assist policymakers in planning for LTC provisions and clean air policies.
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Affiliation(s)
- Zining Liu
- School of Insurance, Central University of Finance and Economics, Beijing, China
| | - Cheng Wan
- Chair of Integrative Risk Management and Economics, Zürich, Switzerland
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Zhang Y, Yu J, Pei H, Zhao X, Wang C, Wang G, Shen Z, Hua J, He B. Potential causal associations of PM2.5 and osteoporosis: a two-sample mendelian randomization study. Front Genet 2024; 15:1263916. [PMID: 38463167 PMCID: PMC10921569 DOI: 10.3389/fgene.2024.1263916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 02/12/2024] [Indexed: 03/12/2024] Open
Abstract
Background: Observational studies suggest a potential association between atmospheric particulate matter 2.5 (PM2.5) and osteoporosis, but a causal association is unclear due to the presence of confounding factors. Methods: We utilized bone mineral density indices at four specific sites to represent osteoporosis: femoral neck (FN-BMD), lumbar spine (LS-BMD), forearm (FA-BMD), and heel (HE-BMD). The PM2.5 data was obtained from the UK Biobank database, while the datasets for FN-BMD, LS-BMD, and FA-BMD were obtained from the GEFOS database, and the dataset for HE-BMD was obtained from the EBI database. A two-sample Mendelian randomization analysis was conducted using mainly the inverse variance weighted method, horizontal pleiotropy and heterogeneity were also assessed. Results: The results indicated that PM2.5 was not correlated with a decrease in FN-BMD (β: -0.305, 95%CI: -0.762, 0.153), LS-BMD (β: 0.134, 95%CI: -0.396, 0.666), FA-BMD (β: -0.056, 95%CI: -1.172,1.060), and HE-BMD (β: -0.084, 95%CI: -0.261,0.093). Additionally, acceptable levels of horizontal pleiotropy and heterogeneity were observed. Conclusion: In contrast to most observational studies, our research did not discover a potential causal relationship between PM2.5 and the development of osteoporosis.
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Affiliation(s)
- Yi Zhang
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Jinsheng Yu
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Hang Pei
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Xinzheng Zhao
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Chao Wang
- Anji County Hospital of Traditional Chinese Medicine, Anji, China
| | - Guanyin Wang
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Zan Shen
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Jiang Hua
- First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China
| | - Bangjian He
- First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China
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Huang J, Hu Y, Wang Y, Jin Z. Activation of Notch1-GATA3 pathway in asthma bronchial epithelial cells induced by acute PM2.5 exposure and the potential protective role of microRNA-139-5p. J Asthma 2024:1-11. [PMID: 38346176 DOI: 10.1080/02770903.2024.2316711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 02/05/2024] [Indexed: 02/22/2024]
Abstract
OBJECTIVE PM2.5 is closed linked to asthma exacerbation. The Notch1 pathway acts as an important pathway, ultimately inducing T-helper cells that express GATA3 and its corresponding Th2 cytokines. The regulatory effects of miR-139-5p on the Notch1 pathway have been indicated in cancer. However, studies on miR-139-5p have not applied asthma-related models. The role of miR-139-5p and its regulatory effects on the Notch1-GATA3 pathway in asthma exacerbation induced by acute PM2.5 exposure has not been elucidated. We hypothesize that acute PM2.5 exposure induces asthma exacerbation by regulating the expression of miR-139-5p and activating the Notch1-GATA3 pathway. METHODS We first employed Diseased Human Bronchial Epithelial Cells-Asthma cells to establish an in vitro model of acute exposure to PM2.5, and explored the relationship between the different concentrations and durations of acute PM2.5 exposure and the activation of Notch1-GATA3 pathway. We investigated the protein and mRNA expression changes of Notch1, upstream Jagged1, downstream GATA3, as well as the regulatory effect of miR-139-5p involved in it. RESULTS The miR-139-5p expression increased within 24 h of PM2.5 exposure. However, if PM2.5 exposure was sustained, miR-139-5p expression turned to decrease, accompanied by upregulations of the mRNA and protein expression of Notch1-GATA3 pathway. Overexpression of miR-139-5p blocked Notch1-GATA3 pathway activation induced by acute PM2.5 exposure. CONCLUSION Acute PM2.5 exposure can activate Notch1-GATA3 pathway in asthma bronchial epithelial cells model, which might be involved in PM2.5-induced asthma exacerbation. miR-139-5p has a potential protective role of inhibiting PM2.5-induced asthma airway inflammation by targeting Notch1.
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Affiliation(s)
- Junjun Huang
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
| | - Yan Hu
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
- Department of Geriatrics, Peking University First Hospital, Beijing, China
| | - Yunxia Wang
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
| | - Zhou Jin
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
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Jeon JI, Jung JY, Park SY, Lee HW, Lee JI, Lee CM. A Comparison of Health Risks from PM 2.5 and Heavy Metal Exposure in Industrial Complexes in Dangjin and Yeosu·Gwangyang. Toxics 2024; 12:158. [PMID: 38393253 PMCID: PMC10893162 DOI: 10.3390/toxics12020158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/16/2024] [Accepted: 02/17/2024] [Indexed: 02/25/2024]
Abstract
Particulate matter (PM) can cause illness, including respiratory diseases, and PM2.5 compositions are likely to vary according to the emission profiles of industrial complexes. This study analyzed and compared the concentrations and distributions of PM2.5 and heavy metals in two regions of Republic of Korea: Yeosu·Gwangyang, which houses a massive national industrial complex, and Dangjin, which houses power plants. Further, we conducted a health risk assessment on the residents of the areas near these industrial complexes. Measurements were taken at five different points in each setting over a two-year period from August 2020 to August 2022. We found differences in PM2.5 concentrations and heavy metal composition ratios across the sites. Specifically, PM2.5 concentrations exceeded the standard of 1 at all measurement sites, while the specific heavy metals exceeding the standard varied across the sites. Ultimately, we observed regional differences in PM2.5 composition across measurement sites across and within the two regions and variations in health risks and according health effects due to the absence of PM2.5 toxicity values, and compared the health risks of two industrial complexes with different characteristics. These findings underscore the importance of considering not only PM2.5 but also its composition in exposure and health risk assessments.
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Affiliation(s)
- Jeong-In Jeon
- Department of Chemical and Environmental Engineering, Seokyeong University, Seoul 02713, Republic of Korea; (J.-I.J.); (J.-Y.J.); (S.-Y.P.)
| | - Ji-Yun Jung
- Department of Chemical and Environmental Engineering, Seokyeong University, Seoul 02713, Republic of Korea; (J.-I.J.); (J.-Y.J.); (S.-Y.P.)
| | - Shin-Young Park
- Department of Chemical and Environmental Engineering, Seokyeong University, Seoul 02713, Republic of Korea; (J.-I.J.); (J.-Y.J.); (S.-Y.P.)
| | - Hye-Won Lee
- Institute of Environment and Health, Seoul 02713, Republic of Korea;
| | - Jeong-Il Lee
- Department of Nano, Chemical and Biological Engineering, Seokyeong University, Seoul 02713, Republic of Korea;
| | - Cheol-Min Lee
- Department of Chemical and Environmental Engineering, Seokyeong University, Seoul 02713, Republic of Korea; (J.-I.J.); (J.-Y.J.); (S.-Y.P.)
- Institute of Environment and Health, Seoul 02713, Republic of Korea;
- Department of Nano, Chemical and Biological Engineering, Seokyeong University, Seoul 02713, Republic of Korea;
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Lee H, Hanson HA, Logan J, Maguire D, Kapadia A, Dewji S, Agasthya G. Evaluating county-level lung cancer incidence from environmental radiation exposure, PM 2.5, and other exposures with regression and machine learning models. Environ Geochem Health 2024; 46:82. [PMID: 38367080 PMCID: PMC10874317 DOI: 10.1007/s10653-023-01820-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 11/27/2023] [Indexed: 02/19/2024]
Abstract
Characterizing the interplay between exposures shaping the human exposome is vital for uncovering the etiology of complex diseases. For example, cancer risk is modified by a range of multifactorial external environmental exposures. Environmental, socioeconomic, and lifestyle factors all shape lung cancer risk. However, epidemiological studies of radon aimed at identifying populations at high risk for lung cancer often fail to consider multiple exposures simultaneously. For example, moderating factors, such as PM2.5, may affect the transport of radon progeny to lung tissue. This ecological analysis leveraged a population-level dataset from the National Cancer Institute's Surveillance, Epidemiology, and End-Results data (2013-17) to simultaneously investigate the effect of multiple sources of low-dose radiation (gross [Formula: see text] activity and indoor radon) and PM2.5 on lung cancer incidence rates in the USA. County-level factors (environmental, sociodemographic, lifestyle) were controlled for, and Poisson regression and random forest models were used to assess the association between radon exposure and lung and bronchus cancer incidence rates. Tree-based machine learning (ML) method perform better than traditional regression: Poisson regression: 6.29/7.13 (mean absolute percentage error, MAPE), 12.70/12.77 (root mean square error, RMSE); Poisson random forest regression: 1.22/1.16 (MAPE), 8.01/8.15 (RMSE). The effect of PM2.5 increased with the concentration of environmental radon, thereby confirming findings from previous studies that investigated the possible synergistic effect of radon and PM2.5 on health outcomes. In summary, the results demonstrated (1) a need to consider multiple environmental exposures when assessing radon exposure's association with lung cancer risk, thereby highlighting (1) the importance of an exposomics framework and (2) that employing ML models may capture the complex interplay between environmental exposures and health, as in the case of indoor radon exposure and lung cancer incidence.
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Affiliation(s)
- Heechan Lee
- Nuclear and Radiological Engineering and Medical Physics Programs, George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 770 State Street, Atlanta, GA, 30332, USA
- Advanced Computing for Health Sciences Section, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, 37830, USA
| | - Heidi A Hanson
- Advanced Computing for Health Sciences Section, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, 37830, USA
| | - Jeremy Logan
- Data Engineering Group, Data and AI Section, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, 37830, USA
| | - Dakotah Maguire
- Advanced Computing for Health Sciences Section, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, 37830, USA
| | - Anuj Kapadia
- Advanced Computing for Health Sciences Section, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, 37830, USA
| | - Shaheen Dewji
- Nuclear and Radiological Engineering and Medical Physics Programs, George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 770 State Street, Atlanta, GA, 30332, USA
| | - Greeshma Agasthya
- Advanced Computing for Health Sciences Section, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, 37830, USA
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Giammona A, Remedia S, Porro D, Lo Dico A, Bertoli G. The biological interplay between air pollutants and miRNAs regulation in cancer. Front Cell Dev Biol 2024; 12:1343385. [PMID: 38434617 PMCID: PMC10905188 DOI: 10.3389/fcell.2024.1343385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 01/18/2024] [Indexed: 03/05/2024] Open
Abstract
Air pollution, especially fine particulate matter (PM2.5, with an aerodynamic diameter of less than 2.5 μm), represents a risk factor for human health. Many studies, regarding cancer onset and progression, correlated with the short and/or long exposition to PM2.5. This is mainly mediated by the ability of PM2.5 to reach the pulmonary alveoli by penetrating into the blood circulation. This review recapitulates the methodologies used to study PM2.5 in cellular models and the downstream effects on the main molecular pathways implicated in cancer. We report a set of data from the literature, that describe the involvement of miRNAs or long noncoding RNAs on the main biological processes involved in oxidative stress, inflammation, autophagy (PI3K), cell proliferation (NFkB, STAT3), and EMT (Notch, AKT, Wnt/β-catenin) pathways. microRNAs, as well as gene expression profile, responds to air pollution environment modulating some key genes involved in epigenetic modification or in key mediators of the biological processes described below. In this review, we provide some scientific evidences about the thigh correlation between miRNAs dysregulation, PM2.5 exposition, and gene pathways involved in cancer progression.
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Affiliation(s)
- Alessandro Giammona
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Segrate, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
| | - Sofia Remedia
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Segrate, Italy
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Segrate, Italy
| | - Danilo Porro
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Segrate, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
| | - Alessia Lo Dico
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Segrate, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
| | - Gloria Bertoli
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Segrate, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
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Xia Z, Liu Y, Liu C, Dai Z, Liang X, Zhang N, Wu W, Wen J, Zhang H. The causal effect of air pollution on the risk of essential hypertension: a Mendelian randomization study. Front Public Health 2024; 12:1247149. [PMID: 38425468 PMCID: PMC10903282 DOI: 10.3389/fpubh.2024.1247149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 01/22/2024] [Indexed: 03/02/2024] Open
Abstract
Background Air pollution poses a major threat to human health by causing various illnesses, such as cardiovascular diseases. While plenty of research indicates a correlation between air pollution and hypertension, a definitive answer has yet to be found. Methods Our analyses were performed using the Genome-wide association study (GWAS) of exposure to air pollutants from UKB (PM2.5, PM10, NO2, and NOX; n = 423,796 to 456,380), essential hypertension from FinnGen (42,857 cases and 162,837 controls) and from UKB (54,358 cases and 408,652 controls) as a validated cohort. Univariable and multivariable Mendelian randomization (MR) were conducted to investigate the causal relationship between air pollutants and essential hypertension. Body mass index (BMI), alcohol intake frequency, and the number of cigarettes previously smoked daily were included in multivariable MRs (MVMRs) as potential mediators/confounders. Results Our findings suggested that higher levels of both PM2.5 (OR [95%CI] per 1 SD increase in predicted exposure = 1.24 [1.02-1.53], p = 3.46E-02 from Finn; OR [95%CI] = 1.04 [1.02-1.06], p = 7.58E-05 from UKB) and PM10 (OR [95%CI] = 1.24 [1.02-1.53], p = 3.46E-02 from Finn; OR [95%CI] = 1.04 [1.02-1.06], p = 7.58E-05 from UKB) were linked to an increased risk for essential hypertension. Even though we used MVMR to adjust for the impacts of smoking and drinking on the relationship between PM2.5 exposure and essential hypertension risks, our findings suggested that although there was a direct positive connection between them, it is not present after adjusting BMI (OR [95%CI] = 1.05 [0.87-1.27], p = 6.17E-01). Based on the study, higher exposure to PM2.5 and PM10 increases the chances of developing essential hypertension, and this influence could occur through mediation by BMI. Conclusion Exposure to both PM2.5 and PM10 is thought to have a causal relationship with essential hypertension. Those impacted by substantial levels of air pollution require more significant consideration for their cardiovascular health.
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Affiliation(s)
- Zhiwei Xia
- Department of Neurology, Hunan Aerospace Hospital, Changsha, Hunan Province, China
| | - Yinjiang Liu
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Chao Liu
- Department of Neurosurgery, Central Hospital of Zhuzhou, Zhuzhou, Hunan Province, China
| | - Ziyu Dai
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Xisong Liang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Nan Zhang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wantao Wu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Jie Wen
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Hao Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
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Yu Z, Sun Z, Liu L, Li C, Zhang X, Amat G, Ran M, Hu X, Xu Y, Zhao X, Zhou J. Environmental surveillance in Jinan city of East China (2014-2022) reveals improved air quality but remained health risks attributable to PM2.5-bound metal contaminants. Environ Pollut 2024; 343:123275. [PMID: 38163628 DOI: 10.1016/j.envpol.2023.123275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/22/2023] [Accepted: 12/29/2023] [Indexed: 01/03/2024]
Abstract
PM2.5-bound metal contaminants are associated with multiple chronic diseases in human. At global level, the contamination status has not been well controlled yet. Here we report findings from a long-term air pollution surveillance in Jinan city of Shandong, China. During 2014-2022, the dynamics and trends of PM2.5-bound heavy metal contaminants were monitored in an industrial area and a downtown area. The surveillance targets included: antimony (Sb), aluminum (Al), arsenic (As), beryllium (Be), cadmium (Cd), chromium (Cr), mercury (Hg), lead (Pb), manganese (Mn), nickel (Ni), selenium (Se). The human exposure and health risks were calculated and we found that the health risks of most contaminants showed peak values in autumn and winter. But Al, Mn, Hg and Be were found to result in highest health risk in spring or summer in the downtown area. In the industrial area we identified 100% alarming health index >1 (ranged from 1.12 to 3.35) in autumn and winter. In winter the total non-carcinogenic HI was all above 1 (peak value 2.21). Mn and As together posed >85% non-carcinogenic risk. As and Cd were ranked as major drivers of carcinogenic risks (5.84 × 10-6 and 2.78 × 10-6). Pd and Cd both showed non-negligible environmental levels but risk assessment model for their air-exposure associated non-carcinogenic risks are not yet available. This study updates air pollution data and status for air pollution status in China. This study provides valuable 9 year long-term reference to experimental and field studies in the related fields.
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Affiliation(s)
- Zhigang Yu
- Institute of Physical and Chemical Analysis, Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, 250021, China.
| | - Zhan Sun
- Institute of Physical and Chemical Analysis, Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, 250021, China.
| | - Lanzheng Liu
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, 250021, China.
| | - Chao Li
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250062, China.
| | - Xin Zhang
- Institute of Physical and Chemical Analysis, Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, 250021, China.
| | - Gzalnur Amat
- School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, China.
| | - Mohan Ran
- School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, China.
| | - Xiaoyue Hu
- School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, China.
| | - Yunxiang Xu
- School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, China.
| | - Xiulan Zhao
- Department of Toxicology and Nutrition, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, China.
| | - Jun Zhou
- Department of Toxicology and Nutrition, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250021, China.
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Luo L, Jiang M, Xiong Y, Xiong A, Zhang L, Wu D, Liu Y, Ran Q, Liu J, Zhang Y, Li J, He X, Wang J, Li G. Fine particulate matter 2.5 induces susceptibility to Pseudomonas aeruginosa infection via expansion of PD-L1 high neutrophils in mice. Respir Res 2024; 25:90. [PMID: 38355515 PMCID: PMC10865610 DOI: 10.1186/s12931-023-02640-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 12/15/2023] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Exposure to PM2.5 has been implicated in a range of detrimental health effects, particularly affecting the respiratory system. However, the precise underlying mechanisms remain elusive. METHODS To address this objective, we collected ambient PM2.5 and administered intranasal challenges to mice, followed by single-cell RNA sequencing (scRNA-seq) to unravel the heterogeneity of neutrophils and unveil their gene expression profiles. Flow cytometry and immunofluorescence staining were subsequently conducted to validate the obtained results. Furthermore, we assessed the phagocytic potential of neutrophils upon PM2.5 exposure using gene analysis of phagocytosis signatures and bacterial uptake assays. Additionally, we utilized a mouse pneumonia model to evaluate the susceptibility of PM2.5-exposed mice to Pseudomonas aeruginosa infection. RESULTS Our study revealed a significant increase in neutrophil recruitment within the lungs of PM2.5-exposed mice, with subclustering of neutrophils uncovering subsets with distinct gene expression profiles. Notably, exposure to PM2.5 was associated with an expansion of PD-L1high neutrophils, which exhibited impaired phagocytic function dependent upon PD-L1 expression. Furthermore, PM2.5 exposure was found to increase the susceptibility of mice to Pseudomonas aeruginosa, due in part to increased PD-L1 expression on neutrophils. Importantly, monoclonal antibody targeting of PD-L1 significantly reduced bacterial burden, dissemination, and lung inflammation in PM2.5-exposed mice upon Pseudomonas aeruginosa infection. CONCLUSIONS Our study suggests that PM2.5 exposure promotes expansion of PD-L1high neutrophils with impaired phagocytic function in mouse lungs, contributing to increased vulnerability to bacterial infection, and therefore targeting PD-L1 may be a therapeutic strategy for reducing the harmful effects of PM2.5 exposure on the immune system.
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Affiliation(s)
- Li Luo
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Manling Jiang
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science & Technology, Macao Special Administrative Region, Taipa, China
| | - Ying Xiong
- Department of Pulmonary and Critical Care Medicine, Sichuan Friendship Hospital, Chengdu, China
| | - Anying Xiong
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Lei Zhang
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science & Technology, Macao Special Administrative Region, Taipa, China
| | - Dehong Wu
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Yao Liu
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science & Technology, Macao Special Administrative Region, Taipa, China
| | - Qin Ran
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Jiliu Liu
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Yi Zhang
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Jiahuan Li
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
- North Sichuan Medical College, Nanchong, China
| | - Xiang He
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China.
| | - Junyi Wang
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China.
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science & Technology, Macao Special Administrative Region, Taipa, China.
| | - Guoping Li
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China.
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Yang C, Wang W, Wang F, Wang Y, Zhang F, Liang Z, Liang C, Wang J, Ma L, Li P, Li S, Zhang L. Ambient PM 2.5 components and prevalence of chronic kidney disease: a nationwide cross-sectional survey in China. Environ Geochem Health 2024; 46:70. [PMID: 38353840 DOI: 10.1007/s10653-024-01867-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 01/10/2024] [Indexed: 02/16/2024]
Abstract
OBJECTIVES Chronic kidney disease (CKD) is a global public health concern, and accumulating evidence has indicated that air pollution increases the odds of CKD. However, a limited number of studies have examined the long-term effects of ambient fine particulate matter (PM2.5) components on the risk of CKD among general population; thus, major knowledge gaps remain. METHODS Using data from a nationwide representative cross-sectional survey in China and a validated PM2.5 composition dataset, we established generalized linear models to quantify the association between five major components of PM2.5 and CKD prevalence. RESULTS There were significant associations between long-term exposure to three PM2.5 components [including black carbon (BC), sulfate (SO42-), organic matter (OM)] and increased odds of CKD prevalence. Along with an interquartile range (IQR) increment in BC (3.3 μg/m3), SO42- (9.7 μg/m3), and OM (16.2 μg/m3) at a 4-year moving average, the odds ratios (ORs) for CKD prevalence were 1.28 (95% CI 1.07, 1.54), 1.23 (95% CI 1.03, 1.45), and 1.23 (95% CI 1.02, 1.47), respectively. We did not detect any significant association of the other two PM2.5 components [nitrate (NO3-) or ammonium (NH4+)] with CKD prevalence. Stratified analyses revealed no differences (P ≥ 0.05) in the effect estimates of subgroups based on administrative region, sex, age, and other demographic characteristics. For instance, along with an IQR increment in BC at a 4-year moving average, the ORs of CKD prevalence among males and females were 1.30 (95% CI 0.98, 1.73) and 1.29 (95% CI 1.01, 1.65), respectively. The odds of CKD were generally higher with increasing PM2.5 composition concentration. CONCLUSIONS Our study demonstrated that long-term exposure to specific PM2.5 components including BC, SO42-, and OM increased CKD risk in the general population. This study could provide new insights into source-directed PM2.5 control and CKD prevention.
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Affiliation(s)
- Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China
| | - Wanzhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
| | - Fulin Wang
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China
| | - Yueyao Wang
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Feifei Zhang
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China
| | - Ze Liang
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Chenyu Liang
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Jinwei Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China
| | - Lin Ma
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Pengfei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China
| | - Shuangcheng Li
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Luxia Zhang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China.
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China.
- National Institute of Health Data Science at Peking University, Beijing, 100191, China.
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Wu SQ, Gu YY, Zhang TY, Zhao WJ. [Nonlinear Variations in PM 2. 5 Concentration in the Three Major Urban Agglomerations in China]. Huan Jing Ke Xue 2024; 45:709-720. [PMID: 38471911 DOI: 10.13227/j.hjkx.202302234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
ITA and Beast methods were used to quantitatively analyze the nonlinear process of a PM2.5 concentration time series based on the PM2.5 concentration data of the three major urban agglomerations in China. The results showed that: ① the degree of the PM2.5 pollution in the three major urban agglomerations had decreased, and the high-concentration areas had noticeably shrunk. The degree of spatial polarization of PM2.5 concentration was reduced, and the spatial difference was narrowed. The PM2.5 concentration in most areas showed downward trends, but the degree of change was not the same. Compared with the YRD and PRD, the concentration of PM2.5 in the BTH was still at a relatively high level. ② The concentration of PM2.5 in the three major urban agglomerations had seasonal variation characteristics that were high in winter and spring and low in summer and autumn. There were obvious differences in PM2.5 concentration between winter and summer, and the convergence of PM2.5 concentration in summer was greater than that in winter. Areas with high PM2.5 concentration also had obvious downward trends, but the downward trends of PM2.5 concentration in the PRD were not obvious compared with those in the YRD and BTH. ③ The PM2.5 concentration time series of the three major urban agglomerations all had significant downward trends: Beijing-Tianjin-Hebei (BTH) > the Yangtze River Delta (YRD) > the Pearl River Delta (PRD). The PM2.5 concentration had the largest downward trends in winter. The higher the PM2.5 pollution level, the greater the downward trends. ④ The trend component of the PM2.5 concentration time series in the BTH had two change points, and there was one change point in the seasonal component. The trend and seasonal components of the PM2.5 concentration time series in the YRD had no change point. There was no change point in the seasonal component but one change point in the trend component of the PM2.5 concentration time series in the PRD. These results can provide scientific references for regional air pollution control.
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Affiliation(s)
- Shu-Qi Wu
- College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
| | - Yang-Yang Gu
- College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
| | - Tian-Yue Zhang
- College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
| | - Wen-Ji Zhao
- College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
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Guo H, Fei L, Yu H, Li Y, Feng Y, Wu S, Wang Y. Exosome-encapsulated lncRNA HOTAIRM1 contributes to PM 2.5-aggravated COPD airway remodeling by enhancing myofibroblast differentiation. Sci China Life Sci 2024:10.1007/s11427-022-2392-8. [PMID: 38332218 DOI: 10.1007/s11427-022-2392-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 02/20/2023] [Indexed: 02/10/2024]
Abstract
Emphysema, myofibroblast accumulation and airway remodeling can occur in the lungs due to exposure to atmospheric pollution, especially fine particulate matter (PM2.5), leading to chronic obstructive pulmonary disease (COPD). Specifically, bronchial epithelium-fibroblast communication participates in airway remodeling, which results in COPD. An increasing number of studies are now being conducted on the role of exosome-mediated cell-cell communication in disease pathogenesis. Here, we investigated whether exosomes generated from bronchial epithelial cells could deliver information to normal stromal fibroblasts and provoke cellular responses, resulting in airway obstruction in COPD. We studied the mechanism of exosome-mediated intercellular communication between human bronchial epithelial (HBE) cells and primary lung fibroblasts (pLFs). We found that PM2.5-induced HBE-derived exosomes promoted myofibroblast differentiation in pLFs. Then, the exosomal lncRNA expression profiles derived from PM2.5-treated HBE cells and nontreated HBE cells were investigated using an Agilent Human LncRNA Array. Combining coculture assays and direct exosome treatment, we found that HBE cell-derived exosomal HOTAIRM1 facilitated the myofibroblast differentiation of pLFs. Surprisingly, we discovered that exosomal HOTAIRM1 enhanced pLF proliferation to secrete excessive collagen secretion, leading to airway obstruction by stimulating the TGF-β/SMAD3 signaling pathway. Significantly, PM2.5 reduced FEV1/FVC and FEV1 and increased the level of serum exosomal HOTAIRM1 in healthy people; moreover, serum exosomal HOTAIRM1 was associated with PM2.5-related reductions in FEV1/FVC and FVC. These findings show that PM2.5 triggers alterations in exosome components and clarify that one of the paracrine mediators of myofibroblast differentiation is bronchial epithelial cell-derived HOTAIRM1, which has the potential to be an effective prevention and therapeutic target for PM2.5-induced COPD.
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Affiliation(s)
- Huaqi Guo
- The Ninth People's Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Luo Fei
- The Ninth People's Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Hengyi Yu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200020, China
| | - Yan Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200020, China
| | - Yan Feng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200020, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Xi'an Jiao Tong University Health Science Center, Xi'an, 710049, China.
| | - Yan Wang
- The Ninth People's Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200020, China.
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Xu Y, O'Sharkey K, Cabison J, Rosales M, Chavez T, Johnson M, Yang T, Cho SH, Chartier R, Grubbs B, Lurvey N, Lerner D, Lurmann F, Farzan S, Bastain TM, Breton C, Wilson JP, Habre R. Sources of personal PM 2.5 exposure during pregnancy in the MADRES cohort. J Expo Sci Environ Epidemiol 2024:10.1038/s41370-024-00648-z. [PMID: 38326532 DOI: 10.1038/s41370-024-00648-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 02/09/2024]
Abstract
BACKGROUND Personal exposure to fine particulate matter (PM2.5) is impacted by different sources each with different chemical composition. Determining these sources is important for reducing personal exposure and its health risks especially during pregnancy. OBJECTIVE Identify main sources and their contributions to the personal PM2.5 exposure in 213 women in the 3rd trimester of pregnancy in Los Angeles, CA. METHODS We measured 48-hr integrated personal PM2.5 exposure and analyzed filters for PM2.5 mass, elemental composition, and optical carbon fractions. We used the EPA Positive Matrix Factorization (PMF) model to resolve and quantify the major sources of personal PM2.5 exposure. We then investigated bivariate relationships between sources, time-activity patterns, and environmental exposures in activity spaces and residential neighborhoods to further understand sources. RESULTS Mean personal PM2.5 mass concentration was 22.3 (SD = 16.6) μg/m3. Twenty-five species and PM2.5 mass were used in PMF with a final R2 of 0.48. We identified six sources (with major species in profiles and % contribution to PM2.5 mass) as follows: secondhand smoking (SHS) (brown carbon, environmental tobacco smoke; 65.3%), fuel oil (nickel, vanadium; 11.7%), crustal (aluminum, calcium, silicon; 11.5%), fresh sea salt (sodium, chlorine; 4.7%), aged sea salt (sodium, magnesium, sulfur; 4.3%), and traffic (black carbon, zinc; 2.6%). SHS was significantly greater in apartments compared to houses. Crustal source was correlated with more occupants in the household. Aged sea salt increased with temperature and outdoor ozone, while fresh sea salt was highest on days with westerly winds from the Pacific Ocean. Traffic was positively correlated with ambient NO2 and traffic-related NOx at residence. Overall, 76.8% of personal PM2.5 mass came from indoor or personal compared to outdoor sources. IMPACT We conducted source apportionment of personal PM2.5 samples in pregnancy in Los Angeles, CA. Among identified sources, secondhand smoking contributed the most to the personal exposure. In addition, traffic, crustal, fuel oil, fresh and aged sea salt sources were also identified as main sources. Traffic sources contained markers of combustion and non-exhaust wear emissions. Crustal source was correlated with more occupants in the household. Aged sea salt source increased with temperature and outdoor ozone and fresh sea salt source was highest on days with westerly winds from the Pacific Ocean.
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Affiliation(s)
- Yan Xu
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA.
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
| | - Karl O'Sharkey
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Jane Cabison
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Marisela Rosales
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Thomas Chavez
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Mark Johnson
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Tingyu Yang
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | | | | | - Brendan Grubbs
- Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA
| | | | | | | | - Shohreh Farzan
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Carrie Breton
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - John P Wilson
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
- Department of Civil & Environmental Engineering, Computer Science, and Sociology, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
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Zhu Z, Naunton M, Mortazavi R, Bushell M. The Impact of Australian Bushfires on Asthma Medicine Prescription Dispensing. Healthcare (Basel) 2024; 12:428. [PMID: 38391803 PMCID: PMC10888028 DOI: 10.3390/healthcare12040428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/30/2024] [Accepted: 02/05/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND Air pollution can cause numerous health problems and increase the need for medicines to treat and prevent asthma in affected areas. There is limited evidence about the association between airborne particles with a diameter of 2.5 micrometres or smaller (PM2.5) and asthma medicine usage. This study examined the potential association between the levels of PM2.5 and the supply of prescription asthma medicines in the Australian Capital Territory (ACT), Australia, during the severe bushfire season between November 2019-January 2020. METHODS Daily data was obtained from an ACT air quality monitoring station from November 2019 to January 2020 (study period) and November 2018 to January 2019 (control period, no bushfire). The number and types of government-funded asthma medicine prescriptions were obtained from the Services Australia (government) website by searching under 'Pharmaceutical Benefits Scheme Item Reports' and using relevant item codes during the study and control periods. RESULTS The medians for PM2.5 levels for the study period were significantly higher than those for the control period (p < 0.001). There were increases in the number of dispensed prescriptions of short-acting beta-2 agonists (SABA), inhaled corticosteroids, and long-acting beta-2 agonists combined with inhaled corticosteroids. The greatest difference was seen with the inhaled corticosteroids: a 138% increase. CONCLUSIONS The increase in the number of dispensed asthma prescriptions during the bushfire season should be used to inform the stock holdings of these medicines in preparation for future events to ensure access to lifesaving asthma medicines.
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Affiliation(s)
- Zhihua Zhu
- Discipline of Pharmacy, School of Health Sciences, Faculty of Health, University of Canberra, Canberra, ACT 2617, Australia
| | - Mark Naunton
- Discipline of Pharmacy, School of Health Sciences, Faculty of Health, University of Canberra, Canberra, ACT 2617, Australia
| | - Reza Mortazavi
- Discipline of Pharmacy, School of Health Sciences, Faculty of Health, University of Canberra, Canberra, ACT 2617, Australia
| | - Mary Bushell
- Discipline of Pharmacy, School of Health Sciences, Faculty of Health, University of Canberra, Canberra, ACT 2617, Australia
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Herath HMUL, Piao MJ, Kang KA, Fernando PDSM, Hyun JW. Rosmarinic Acid Protects Skin Keratinocytes from Particulate Matter 2.5-Induced Apoptosis. Int J Med Sci 2024; 21:681-689. [PMID: 38464827 PMCID: PMC10920844 DOI: 10.7150/ijms.90814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 01/27/2024] [Indexed: 03/12/2024] Open
Abstract
Background: The exposure of the human skin to particulate matter 2.5 (PM2.5) results in adverse health outcomes, such as skin aging, wrinkle formation, pigment spots, and atopic dermatitis. It has previously been shown that rosmarinic acid (RA) can protect keratinocytes from ultraviolet B radiation by enhancing cellular antioxidant systems and reducing oxidative damage; however, its protective action against the adverse effects of PM2.5 on skin cells remains unclear. Therefore, in this study, we explored the mechanism underlying the protective effects of RA against PM2.5-mediated oxidative stress in HaCaT keratinocytes. Methods: HaCaT keratinocytes were pretreated with RA and exposed to PM2.5. Thereafter, reactive oxygen species (ROS) production, protein carbonylation, lipid peroxidation, DNA damage, and cellular apoptosis were investigated using various methods, including confocal microscopy, western blot analysis, and flow cytometry. Results: RA significantly inhibited PM2.5-induced lipid peroxidation, protein carbonylation, DNA damage, increases in intracellular Ca2+ level, and mitochondrial depolarization. It also significantly attenuated PM2.5-induced apoptosis by downregulating Bcl-2-associated X, cleaved caspase-9, and cleaved caspase-3 protein levels, while upregulating B-cell lymphoma 2 protein level. Further, our results indicated that PM2.5-induced apoptosis was associated with the activation of the mitogen-activated protein kinase (MAPK) signaling pathway and that MAPK inhibitors as well as RA exhibited protective effects against PM2.5-induced apoptosis. Conclusion: RA protected HaCaT cells from PM2.5-induced apoptosis by lowering oxidative stress.
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Affiliation(s)
| | | | | | | | - Jin Won Hyun
- Department of Biochemistry, College of Medicine and Jeju Research Center for Natural Medicine, Jeju National University, Jeju 63243, Republic of Korea
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Hou T, Zhu L, Wang Y, Peng L. Oxidative stress is the pivot for PM2.5-induced lung injury. Food Chem Toxicol 2024; 184:114362. [PMID: 38101601 DOI: 10.1016/j.fct.2023.114362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/20/2023] [Accepted: 12/08/2023] [Indexed: 12/17/2023]
Abstract
Fine particulate matter (PM2.5) is a primary air pollutant recognized worldwide as a serious threat to public health. PM2.5, which has a diameter of less than 2.5 μm, is known to cause various diseases, including cardiovascular, respiratory, metabolic, and neurological diseases. Studies have shown that the respiratory system is particularly susceptible to PM2.5 as it is the first line of defense against external pollutants. PM2.5 can cause oxidative stress, which is triggered by the catalyzation of biochemical reactions, the activation of oxidases and metabolic enzymes, and mitochondrial dysfunction, all of which can lead to lung injury and aggravate various respiratory diseases including chronic obstructive pulmonary disease (COPD), asthma, pulmonary fibrosis, and cancer. Oxidative stress plays a crucial role in the harmful effects and mechanisms of PM2.5 on the respiratory system by activating several detrimental pathways related to inflammation and cellular damage. However, experimental studies have shown that antioxidative therapy methods can effectively cure PM2.5-induced lung injury. This review aims to clarify how PM2.5 induces oxidative stress and the mechanisms by which it is involved in the aggravation of various lung diseases. Additionally, we have listed antioxidant treatments to protect against PM2.5-induced lung injury.
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Affiliation(s)
- Tianhua Hou
- Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, Jilin, 130001, China
| | - Laiyu Zhu
- Institute of Translational Medicine, The First Hospital of Jilin University, Changchun, Jilin, 130001, China
| | - Yusheng Wang
- Department of Otolaryngology Head and Neck Surgery, The First Hospital of Jilin University, Changchun, Jilin, 130001, China.
| | - Liping Peng
- Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, Jilin, 130001, China.
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47
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Shen H, Gong M, Zhang M, Sun S, Zheng R, Yan Q, Hu J, Xie X, Wu Y, Yang J, Wu J, Yang J. Effects of PM 2.5 exposure on clock gene BMAL1 and cell cycle in human umbilical vein endothelial cells. Toxicol Res (Camb) 2024; 13:tfae022. [PMID: 38419835 PMCID: PMC10898333 DOI: 10.1093/toxres/tfae022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 02/02/2024] [Accepted: 02/07/2024] [Indexed: 03/02/2024] Open
Abstract
Background Fine particulate matter (PM2.5) exposure has been closely associated with cardiovascular diseases, which are relevant to cell cycle arrest. Brain and muscle aryl-hydrocarbon receptor nuclear translocator-like protein 1 (BMAL1) not only participates in regulating the circadian clock but also plays a role in modulating cell cycle. However, the precise contribution of the circadian clock gene BMAL1 to PM2.5-induced cell cycle change remains unclear. This study aims to explore the impact of PM2.5 exposure on BMAL1 expression and the cell cycle in human umbilical vein endothelial cells (HUVECs). Methods HUVECs was exposed to PM2.5 for 24 hours at different concentrations ((0, 12.5, 25, 75 and 100 μg.mL-1) to elucidate the potential toxic mechanism. Following exposure to PM2.5, cell viability, ROS, cell cycle, and the expression of key genes and proteins were detected. Results A remarkable decrease in cell viability is observed in the PM2.5-exposed HUVECs, as well as a significant increase in ROS production. In addition, PM2.5-exposed HUVECs have cycle arrest in G0/G1 phase, and the gene expression of p27 is also markedly increased. The protein expression of BMAL1 and the gene expression of BMAL1 are increased significantly. Moreover, the protein expressions of p-p38 MAPK and p-ERK1/2 exhibit a marked increase in the PM2.5-exposed HUVECs. Furthermore, following the transfection of HUVECs with siBMAL1 to suppress BMAL1 expression, we observed a reduction in both the protein and gene expression of the MAPK/ERK pathway in HUVECs exposed to PM2.5. Conclusions Overall, our results indicate that PM2.5 exposure significantly upregulates the circadian clock gene expression of BMAL1 and regulates G0/G1 cell cycle arrest in HUVECs through the MAPK/ERK pathway, which may provide new insights into the potential molecular mechanism regarding BMAL1 on PM2.5-induced cardiovascular diseases.
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Affiliation(s)
- Haochong Shen
- Department of Toxicology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Meidi Gong
- Department of Toxicology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Minghao Zhang
- Department of Toxicology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Shikun Sun
- Department of Toxicology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Rao Zheng
- Department of Toxicology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Qing Yan
- Department of Toxicology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Juan Hu
- Department of Toxicology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Xiaobin Xie
- Department of Toxicology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Yan Wu
- Department of Toxicology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Junjie Yang
- Department of Toxicology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Jing Wu
- Department of Toxicology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, 199 Renai Road, Suzhou Industrial Park, Suzhou, Jiangsu 215123, China
| | - Jing Yang
- School of Basic Medicine and Forensic Medicine, Baotou Medical College, Inner Mongolia University of Science and Technology, 31 Jianshe Road, Donghe District, Baotou, Inner Mongolia 014040, China
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Li H, Zhao Y, Wang L, Liu H, Shi Y, Liu J, Chen H, Yang B, Shan H, Yuan S, Gao W, Wang G, Han C. Association between PM 2.5 and hypertension among the floating population in China: a cross-sectional study. Int J Environ Health Res 2024; 34:943-955. [PMID: 36919640 DOI: 10.1080/09603123.2023.2190959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 03/09/2023] [Indexed: 06/18/2023]
Abstract
Few studies have investigated the association between PM2.5 and hypertension among floating populations. We therefore examined the relationship using binary logistic regression. Each grade of increment in the annual average PM2.5 (grade one: ≤15 µg/m3; grade two: 15-25 µg/m3; grade three: 25-35 µg/m3 [Excluding 25]; grade four: ≥35 µg/m3) was associated with an increased risk of hypertension (odds ratio [OR] = 1.081, 95% confidence interval (CI): 1.034-1.129). Among the female floating population (OR = 1.114, 95% CI: 1.030-1.204), those with education level of primary school and below (OR = 1.140, 95% CI: 1.058-1.229), construction workers (OR = 1.228, 95% CI: 1.058-1.426), and those living in the eastern region of China (OR = 1.241, 95% CI: 1.145-1.346) were more vulnerable to PM2.5. These results indicate that PM2.5 is positively associated with hypertension in floating populations. Floating populations who are female, less educated, construction workers, and living in the eastern region of China are more vulnerable to the adverse impacts of PM2.5.
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Affiliation(s)
- Hongyu Li
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Yang Zhao
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
- Digital Health and Stroke Program, The George Institute for Global Health, Beijing, China
| | - Luyang Wang
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Haiyun Liu
- Department of Medicine, Shandong College of Traditional Chinese Medicine, Yantai, Shandong, China
| | - Yukun Shi
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Junyan Liu
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Haotian Chen
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Baoshun Yang
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Haifeng Shan
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
- Science and Education Department, Zibo Mental Health Center, Zibo, Shandong, China
| | - Shijia Yuan
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Wenhui Gao
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Guangcheng Wang
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
| | - Chunlei Han
- School of Public Health and Management, Binzhou Medical University, Yantai, Shandong, China
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Mo B, Hou M, Huo X. The synergistic reduction effect of PM 2.5 and CO 2: evidence from national key ecological functional areas in China. Environ Sci Pollut Res Int 2024; 31:13766-13779. [PMID: 38265592 DOI: 10.1007/s11356-024-32063-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 01/15/2024] [Indexed: 01/25/2024]
Abstract
China faces the dual pressure of haze pollution control and carbon emission reduction. The goals of national key ecological functional areas (NKEFAs) are to improve ecological quality and enhance ecological supply. In this paper, a time-varying difference-in-differences model is used to assess the impact of NKEFAs on PM2.5 and CO2 by the panel data of prefecture-level cities of China and then investigate the synergistic reduction effect. This quasi-natural experiment reveals that NKEFAs can effectively reduce both PM2.5 and CO2 and then achieve the synergistic emission reduction effect. Land use pattern optimization and productivity enhancement are identified as key drivers for promoting this synergistic effect. This effect is observed in NKEFAs of water conservation and soil conservation types, as well as in the northern region, middle and lower reaches of the Yangtze River, and southeast coastal areas of the southern region. This study provides valuable theoretical references and empirical insights for realizing a synergistic status of environmental improvement and low-carbon transformation.
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Affiliation(s)
- Binbin Mo
- College of Economics and Management, Northwest Agriculture & Forest University, Yangling, China.
| | - Mengyang Hou
- School of Economics, Hebei University, Baoding, China
| | - Xuexi Huo
- College of Economics and Management, Northwest Agriculture & Forest University, Yangling, China
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50
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Trako N, Mašić F, Ajanović F, Merdan S, Huremović J, Žero S, Mašić A, Gojak-Salimović S. Health risk assessment of heavy metals in PM 2.5 and PM 10 in Sarajevo air, Bosnia and Herzegovina. J Environ Sci Health A Tox Hazard Subst Environ Eng 2024; 58:1039-1045. [PMID: 38270333 DOI: 10.1080/10934529.2024.2307834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 01/13/2024] [Indexed: 01/26/2024]
Abstract
The concentrations of eight heavy metals (Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn) associated with PM2.5 and PM10 in Sarajevo air, Bosnia and Herzegovina (BiH) have been studied. A total of 136 PM2.5 and PM10 samples were simultaneously collected from 21 February to 11 November 2020. Metal contents were determined by atomic absorption spectrometry, flame (FAAS) and electrothermal (ETAAS) techniques. The mean concentrations of metals in PM10 are 2.93 ng/m3 (Cd), 7.21 ng/m3 (Cr), 12.02 ng/m3 (Cu), 126 ng/m3 (Fe), 20.74 ng/m3 (Mn), 6.98 ng/m3 (Ni), 8.74 ng/m3 (Pb) and 128 ng/m3 (Zn). In PM2.5 samples the mean concentrations of Cd, Cr, Cu, Fe, Mn, Ni and Zn are 0.39, 4.06, 2.26, 110, 0.63, 1.93 and 5.28 ng/m3, respectively. Pb was not detected in PM2.5 samples. Strong correlation was obtained for metal pairs Mn-Cu in PM10 and moderate for Ni-Fe in PM2.5. The health risk assessment shows that the adult population of Sarajevo is at increased lifetime risk of experiencing cancer because of exposure to Cd concentrations in PM10.
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Affiliation(s)
- Nejira Trako
- Faculty of Science, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Ferida Mašić
- Faculty of Science, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Faruk Ajanović
- Faculty of Science, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Samra Merdan
- Faculty of Science, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Jasna Huremović
- Faculty of Science, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Sabina Žero
- Faculty of Science, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
| | - Adnan Mašić
- Faculty of Mechanical Engineering, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
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