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Li J, Yao Y, Shang B, Xie Y, Yin H, Song Y, Ma J. Ambient air pollution, low-grade inflammation, and lung function: Evidences from the UK Biobank. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116998. [PMID: 39244880 DOI: 10.1016/j.ecoenv.2024.116998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Revised: 09/01/2024] [Accepted: 09/01/2024] [Indexed: 09/10/2024]
Abstract
The associations of ambient air pollution exposure and low-grade inflammation with lung function remain uncertain. In this study, 276,289 subjects were enrolled in the UK Biobank. Individual exposure to ambient air pollution (including nitrogen dioxide [NO2], nitrogen oxides [NOx]), and particulate matter [PM2.5, PM10, PMcoarse]) were estimated by using the land-use regression model. Forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1) were tested, and low-grade inflammation score (INFLA score) was calculated for each subject. In this cross-sectional study, the median concentrations of air pollution were 9.89 µg/m3 for PM2.5, 15.98 µg/m3 for PM10, 6.09 µg/m3 for PMcoarse, 25.60 µg/m3 for NO2, and 41.46 µg/m3 for NOx, respectively. We observed that PM2.5, PM10, PMcoarse, NO2, NOx was negatively associated with lung function. Besides, significant positive associations between PM exposure and low-grade inflammation were noted. Per interquartile range (IQR) increase in PM2.5, PM10, and PMcoarse was related to higher INFLA score, and the β (95 % CI) was 0.06 (0.03, 0.08), 0.03 (0.02, 0.05), and 0.03 (0.01, 0.04), respectively. Additionally, we found significant negative associations between INFLA scores and lung function. One-unit increase in INFLA score was linked with 12.41- and 11.31-ml decreases in FVC and FEV1, respectively. Compared with individuals with low air pollution exposure and low INFLA scores, participants with high air pollution and high INFLA scores had the lowest FVC and FEV1. Additionally, we observed that INFLA scores could modify the relationships of PM2.5, NO2, and NOx with FVC and FEV1 (Pinteraction <0.05). The negative impact of air pollutants on lung function was more pronounced in subjects with high INFLA scores in comparison to those with low INFLA scores. In conclusion, we demonstrated negative associations between ambient air pollution and lung function, and the observed associations were strengthened and modified by low-grade inflammation.
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Affiliation(s)
- Jia Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yuxin Yao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Binxing Shang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yujia Xie
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Haoyu Yin
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yuanchao Song
- Anhui Province Key Laboratory of Occupational Health, Anhui No.2 Provincial People's Hospital, Hefei 230041, China
| | - Jixuan Ma
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
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Wiora A, Wiora J, Kasprzyk J. Indication Variability of the Particulate Matter Sensors Dependent on Their Location. SENSORS (BASEL, SWITZERLAND) 2024; 24:1683. [PMID: 38475219 DOI: 10.3390/s24051683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [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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Ahn Y, Yim YH, Yoo HM. Particulate Matter Induces Oxidative Stress and Ferroptosis in Human Lung Epithelial Cells. TOXICS 2024; 12:161. [PMID: 38393256 PMCID: PMC10893167 DOI: 10.3390/toxics12020161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 02/11/2024] [Accepted: 02/18/2024] [Indexed: 02/25/2024]
Abstract
Numerous toxicological studies have highlighted the association between urban particulate matter (PM) and increased respiratory infections and lung diseases. The adverse impact on the lungs is directly linked to the complex composition of particulate matter, initiating reactive oxygen species (ROS) production and consequent lipid peroxidation. Excessive ROS, particularly within mitochondria, can destroy subcellular organelles through various pathways. In this study, we confirmed the induction of ferroptosis, an iron-dependent cell death, upon exposure to an urban PM using RT-qPCR and signaling pathway analysis. We used KRISS CRM 109-02-004, the certified reference material for the analysis of particulate matter, produced by the Korea Research Institute of Standards and Science (KRISS). To validate that ferroptosis causes lung endothelial toxicity, we assessed intracellular mitochondrial potential, ROS overproduction, lipid peroxidation, and specific ferroptosis biomarkers. Following exposure to the urban PM, a significant increase in ROS generation and a decrease in mitochondrial potential were observed. Furthermore, it induced hallmarks of ferroptosis, including the accumulation of lipid peroxidation, the loss of antioxidant defenses, and cellular iron accumulation. In addition, the occurrence of oxidative stress as a key feature of ferroptosis was confirmed by increased expression levels of specific oxidative stress markers such as NQO1, CYP1B1, FTH1, SOD2, and NRF. Finally, a significant increase in key ferroptosis markers was observed, including xCT/SLC7A11, NQO1, TRIM16, HMOX-1, FTL, FTH1, CYP1B1, CHAC1, and GPX4. This provides evidence that elevated ROS levels induce oxidative stress, which ultimately triggers ferroptosis. In conclusion, our results show that the urban PM, KRISS CRM, induces cellular and mitochondrial ROS production, leading to oxidative stress and subsequent ferroptosis. These results suggest that it may induce ferroptosis through ROS generation and may offer potential strategies for the treatment of lung diseases.
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Affiliation(s)
- Yujin Ahn
- Biometrology Group, Korea Research Institute of Standards and Science (KRISS), Daejeon 34113, Republic of Korea
- Department of Precision Measurement, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - Yong-Hyeon Yim
- Department of Precision Measurement, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
- Inorganic Metrology Group, Korea Research Institute of Standards and Science (KRISS), Daejeon 34113, Republic of Korea
| | - Hee Min Yoo
- Biometrology Group, Korea Research Institute of Standards and Science (KRISS), Daejeon 34113, Republic of Korea
- Department of Precision Measurement, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
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Weismann D, Möckel M, Paeth H, Slagman A. Modelling variations of emergency attendances using data on community mobility, climate and air pollution. Sci Rep 2023; 13:20595. [PMID: 37996460 PMCID: PMC10667222 DOI: 10.1038/s41598-023-47857-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 11/19/2023] [Indexed: 11/25/2023] Open
Abstract
Air pollution is associated with morbidity and mortality worldwide. We investigated the impact of improved air quality during the economic lockdown during the SARS-Cov2 pandemic on emergency room (ER) admissions in Germany. Weekly aggregated clinical data from 33 hospitals were collected in 2019 and 2020. Hourly concentrations of nitrogen and sulfur dioxide (NO2, SO2), carbon and nitrogen monoxide (CO, NO), ozone (O3) and particulate matter (PM10, PM2.5) measured by ground stations and meteorological data (ERA5) were selected from a 30 km radius around the corresponding ED. Mobility was assessed using aggregated cell phone data. A linear stepwise multiple regression model was used to predict ER admissions. The average weekly emergency numbers vary from 200 to over 1600 cases (total n = 2,216,217). The mean maximum decrease in caseload was 5 standard deviations. With the enforcement of the shutdown in March, the mobility index dropped by almost 40%. Of all air pollutants, NO2 has the strongest correlation with ER visits when averaged across all departments. Using a linear stepwise multiple regression model, 63% of the variation in ER visits is explained by the mobility index, but still 6% of the variation is explained by air quality and climate change.
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Affiliation(s)
- Dirk Weismann
- Intensive Care Unit, Department of Internal Medicine I, University Hospital of Wuerzburg, University of Wuerzburg, Oberdürrbacherstr. 6, 97080, Würzburg, Germany.
| | - Martin Möckel
- Departments of Emergency and Acute Medicine, Campus Mitte and Virchow-Klinikum, Charite-Universitätsmedizin Berlin, Berlin, Germany
| | - Heiko Paeth
- Geographical Institute, University of Wuerzburg, Wuerzburg, Germany
| | - Anna Slagman
- Departments of Emergency and Acute Medicine, Campus Mitte and Virchow-Klinikum, Charite-Universitätsmedizin Berlin, Berlin, Germany
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Shi H, Chen L, Zhang S, Li R, Wu Y, Zou H, Wang C, Cai M, Lin H. Dynamic association of ambient air pollution with incidence and mortality of pulmonary hypertension: A multistate trajectory analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 262:115126. [PMID: 37315366 PMCID: PMC10443233 DOI: 10.1016/j.ecoenv.2023.115126] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 06/06/2023] [Accepted: 06/08/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND There is little evidence regarding the association between ambient air pollution and incidence and the mortality of pulmonary hypertension (PH). METHODS We included 494,750 participants at baseline in the UK Biobank study. Exposures to PM2.5, PM10, NO2, and NOx were estimated at geocoded participants' residential addresses, utilizing pollution data provided by UK Department for Environment, Food and Rural Affairs (DEFRA). The outcomes were the incidence and mortality of PH. We used multivariate multistate models to investigate the impacts of various ambient air pollutants on both incidence and mortality of PH. RESULTS During a median follow-up of 11.75 years, 2517 participants developed incident PH, and 696 died. We observed that all ambient air pollutants were associated with increased incidence of PH with different magnitudes, with adjusted hazard ratios (HRs) [95% confidence intervals (95% CIs)] for each interquartile range (IQR) increase of 1.73 (1.65, 1.81) for PM2.5, 1.70 (1.63, 1.78) for PM10, 1.42 (1.37, 1.48) for NO2, and 1.35 (1.31, 1.40) for NOx. Furthermore, PM2.5, PM10, NO2 and NO2 influenced the transition from PH to death, and the corresponding HRs (95% CIs) were 1.35 (1.25, 1.45), 1.31 (1.21, 1.41), 1.28 (1.20, 1.37) and 1.24 (1.17, 1.32), respectively. CONCLUSION The results of our study indicate that exposure to various ambient air pollutants might play key but differential roles in both the incidence and mortality of PH.
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Affiliation(s)
- Hui Shi
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Lan Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Rui Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yinglin Wu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Hongtao Zou
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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Zheng J, Liu S, Peng J, Peng H, Wang Z, Deng Z, Li C, Li N, Tang L, Xu J, Li J, Li B, Zhou Y, Ran P. Traffic-related air pollution is a risk factor in the development of chronic obstructive pulmonary disease. Front Public Health 2022; 10:1036192. [PMID: 36568772 PMCID: PMC9769455 DOI: 10.3389/fpubh.2022.1036192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 11/17/2022] [Indexed: 12/12/2022] Open
Abstract
Background Outdoor traffic-related air pollution has negative effects on respiratory health. In this study, we aimed to explore the effect of outdoor traffic-related air pollution on chronic obstructive pulmonary disease (COPD) in Guangzhou. Methods We enrolled 1,460 residents aged 40 years or older between 21 January 2014 and 31 January 2018. We administered questionnaires and spirometry tests. The distance of participants' residences or locations of outdoor activities from busy roads (as indicators of outdoor traffic-related air pollution), indoor air pollution, and smoking history were queried in the questionnaires. Results Of the 1,460 residents with valid survey and test results, 292 were diagnosed with COPD, with a detection rate of 20%. Participants who lived and did their outdoor activities near busy roads had a higher detection rate of COPD. Among residents living at distances of <50 meters, 50-199 meters, and more than 200 meters from busy roads, the detection rates were 20.6, 21.2, and 14.8%, respectively; the rates for outdoor activities at these distances were 23.8, 24.5, and 13.7%, respectively (p < 0.05). After adjusting for sex, age, smoking status, family history, and smoking index, the distance of outdoor activities from busy roads was an independent risk factor for COPD. Participants whose outdoor activities were conducted <50 meters and 50-199 meters of main roads had odds ratios of 1.54 (95% confidence interval 1.01-2.36) and 1.84 (95% interval 1.23-2.76) for the risk of COPD in comparison with a distance of more than 200 meters from busy roads. Conclusions Residents of Guangzhou whose outdoor activities were close to busy roads had a high risk of COPD. Traffic-related air pollution presents a risk to human health and a risk of COPD.
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Affiliation(s)
- Jinzhen Zheng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,Department of Pulmonary and Critical Care Medicine, Shantou Central Hospital, Shantou, Guangdong, China
| | - Sha Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Jieqi Peng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,Guangzhou Laboratory, Bio Island, Guangzhou, Guangdong, China
| | - Huanhuan Peng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,Department of Pulmonary and Critical Care Medicine, The Fourth People's Hospital of Chenzhou, Chenzhou, Hunan, China
| | - Zihui Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China
| | - Zhishan Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China
| | - Chenglong Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China
| | - Naijian Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China
| | - Longhui Tang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,Department of Pulmonary and Critical Care Medicine, Chenzhou Third People's Hospital, Chenzhou, Hunan, China
| | - Jianwu Xu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China
| | - Jingwen Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China
| | - Bing Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,College of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yumin Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,Guangzhou Laboratory, Bio Island, Guangzhou, Guangdong, China,Yumin Zhou
| | - Pixin Ran
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, The Guangzhou Institute of Respiratory Health, and The First Affiliated Hospital of Guangzhou Medical University, Guangdong, China,Guangzhou Laboratory, Bio Island, Guangzhou, Guangdong, China,*Correspondence: Pixin Ran
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Tran HM, Chen TT, Lu YH, Tsai FJ, Chen KY, Ho SC, Wu CD, Wu SM, Lee YL, Chung KF, Kuo HP, Lee KY, Chuang HC. Climate-mediated air pollution associated with COPD severity. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 843:156969. [PMID: 35760178 DOI: 10.1016/j.scitotenv.2022.156969] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 06/08/2022] [Accepted: 06/21/2022] [Indexed: 06/15/2023]
Abstract
Air pollution has been reported to be associated with chronic obstructive pulmonary disease (COPD). Our study aim was to examine the mediating effects of air pollution on climate-associated health outcomes of COPD patients. A cross-sectional study of 117 COPD patients was conducted in a hospital in Taiwan. We measured the lung function, 6-min walking distance, oxygen desaturation, white blood cell count, and percent emphysema (low attenuation area, LAA) and linked these to 0-1-, 0-3-, and 0-5-year lags of individual-level exposure to relative humidity (RH), temperature, and air pollution. Linear regression models were conducted to examine associations of temperature, RH, and air pollution with severity of health outcomes. A mediation analysis was conducted to examine the mediating effects of air pollution on the associations of RH and temperature with health outcomes. We observed that a 1 % increase in the RH was associated with increases in forced expiratory volume in 1 s (FEV1), eosinophils, and lymphocytes, and a decrease in the total-lobe LAA. A 1 °C increase in temperature was associated with decreases in oxygen desaturation, and right-, left-, and upper-lobe LAA values. Also, a 1 μg/m3 increase in PM2.5 was associated with a decrease in the FEV1 and an increase in oxygen desaturation. A 1 μg/m3 increases in PM10 and PM2.5 was associated with increases in the total-, right-, left, upper-, and lower-lobe (PM2.5 only) LAA. A one part per billion increase in NO2 was associated with a decrease in the FEV1 and an increase in the upper-lobe LAA. Next, we found that NO2 fully mediated the association between RH and FEV1. We found PM2.5 fully mediated associations of temperature with oxygen saturation and total-, right-, left-, and upper-lobe LAA. In conclusion, climate-mediated air pollution increased the risk of decreasing FEV1 and oxygen saturation and increasing emphysema severity among COPD patients. Climate change-related air pollution is an important public health issue, especially with regards to respiratory disease.
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Affiliation(s)
- Huan Minh Tran
- Ph.D. Program in Global Health and Health Security, College of Public Health, Taipei Medical University, Taipei, Taiwan; Faculty of Public Health, Da Nang University of Medical Technology and Pharmacy, Da Nang, Viet Nam.
| | - Tzu-Tao Chen
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
| | - Yueh-Hsun Lu
- Department of Radiology, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan; Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Radiology, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
| | - Feng-Jen Tsai
- Ph.D. Program in Global Health and Health Security, College of Public Health, Taipei Medical University, Taipei, Taiwan.
| | - Kuan-Yuan Chen
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
| | - Shu-Chuan Ho
- School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.
| | - Chih-Da Wu
- Department of Geomatics, National Cheng Kung University, Tainan, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan.
| | - Sheng-Ming Wu
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
| | - Yueh-Lun Lee
- Department of Microbiology and Immunology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
| | - Kian Fan Chung
- National Heart and Lung Institute, Imperial College London, London, UK.
| | - Han-Pin Kuo
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
| | - Kang-Yun Lee
- Division of Pulmonary Medicine, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
| | - Hsiao-Chi Chuang
- Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan; School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan; Cell Physiology and Molecular Image Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
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Kim T, Lim MN, Kim WJ, Ho TT, Lee CH, Chae KJ, Bak SH, Jin GY, Park EK, Choi S. Structural and functional alterations of subjects with cement dust exposure: A longitudinal quantitative computed tomography-based study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 837:155812. [PMID: 35550893 DOI: 10.1016/j.scitotenv.2022.155812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 04/13/2022] [Accepted: 05/05/2022] [Indexed: 06/15/2023]
Abstract
Cement dust exposure (CDE) can be a risk factor for pulmonary disease, causing changes in segmental airways and parenchymal lungs. This study investigates longitudinal alterations in quantitative computed tomography (CT)-based metrics due to CDE. We obtained CT-based airway structural and lung functional metrics from CDE subjects with baseline CT and follow-up CT scans performed three years later. From the CT, we extracted wall thickness (WT) and bifurcation angle (θ) at total lung capacity (TLC) and functional residual capacity (FRC), respectively. We also computed air volume (Vair), tissue volume (Vtissue), global lung shape, percentage of emphysema (Emph%), and more. Clinical measures were used to associate with CT-based metrics. Three years after their baseline, the pulmonary function tests of CDE subjects were similar or improved, but there were significant alterations in the CT-based structural and functional metrics. The follow-up CT scans showed changes in θ at most of the central airways; increased WT at the subgroup bronchi; smaller Vair at TLC at all except the right upper and lower lobes; smaller Vtissue at all lobes in TLC and FRC except for the upper lobes in FRC; smaller global lung shape; and greater Emph% at the right upper and lower lobes. CT-based structural and functional variables are more sensitive to the early identification of CDE subjects, while most clinical lung function changes were not noticeable. We speculate that the significant long-term changes in CT are uniquely observed in CDE subjects, different from smoking-induced structural changes.
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Affiliation(s)
- Taewoo Kim
- School of Mechanical Engineering, Kyungpook National University, Daegu, Republic of Korea
| | - Myoung-Nam Lim
- Biomedical Research Institute, Kangwon National University Hospital, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University Hospital, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea
| | - Thao Thi Ho
- School of Mechanical Engineering, Kyungpook National University, Daegu, Republic of Korea
| | - Chang Hyun Lee
- Department of Radiology, College of Medicine, Seoul National University, Seoul, Republic of Korea; Department of Radiology, College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Kum Ju Chae
- Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - So Hyeon Bak
- Department of Radiology, Kangwon National University Hospital, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea
| | - Gong Yong Jin
- Department of Radiology, College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Eun-Kee Park
- Department of Medical Humanities and Social Medicine, College of Medicine, Kosin University, Busan, Republic of Korea
| | - Sanghun Choi
- School of Mechanical Engineering, Kyungpook National University, Daegu, Republic of Korea.
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9
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Li N, Ma J, Ji K, Wang L. Association of PM2.5 and PM10 with Acute Exacerbation of Chronic Obstructive Pulmonary Disease at lag0 to lag7: A Systematic Review and Meta-Analysis. COPD 2022; 19:243-254. [PMID: 35616887 DOI: 10.1080/15412555.2022.2070062] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
This study aimed to conduct a meta-analysis to investigate whether short-term exposure to fine (PM2.5) and coarse (PM10) particulate matter was associated with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) hospitalization, emergency room visit, and outpatient visit at different lag values. PubMed, Embase, and the Cochrane Library were searched for relevant papers published up to March 2021. For studies reporting results per 1-µg/m3 increase in PM2.5, the results were recalculated as per 10-µg/m3 increase. We manually calculated the RRs for these two studies and transferred the RRs to estimate 10 µg/m3 increases in PM2.5. Automation tools were initially used to remove ineligible studies. Two reviewers independently screened the remaining records and retrieved reports. Twenty-six studies (28 datasets; 7,018,419 patients) were included. There was a significant association between PM2.5 and AECOPD events on lag0 (ES = 1.01, 95%CI: 1.01-1.02, p < 0.001; I2=88.6%, Pheterogeneity<0.001), lag1 (ES = 1.00, 95%CI: 1.00-1.01, p < 0.001; I2=82.5%, Pheterogeneity<0.001), lag2 (ES = 1.01, 95%CI: 1.01-1.01, p < 0.001; I2=90.6%, Pheterogeneity<0.001), lag3 (ES = 1.01, 95%CI: 1.00-1.01, p < 0.001; I2=88.9%, Pheterogeneity<0.001), lag4 (ES = 1.00, 95%CI: 1.00-1.01, p < 0.001; I2=83.7%, Pheterogeneity<0.001), and lag7 (ES = 1.00, 95%CI: 1.00-1.00, p < 0.001; I2=0.0%, Pheterogeneity=0.743). The subgroup analyses showed that PM2.5 influenced the rates of hospitalization, emergency room visits, and outpatient visits. Similar trends were observed with PM10. The risk of AECOPD events (hospitalization, emergency room visit, and outpatient visit) was significantly increased with a 10-µg/m3 increment in PM2.5 and PM10 from lag0 to lag7.List Of Abbreviations: particulate matter (PM2.5 and PM10); acute exacerbation of chronic obstructive pulmonary disease (AECOPD); Chronic obstructive pulmonary disease (COPD); Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA); Effect sizes [48]; confidence intervals (CIs).
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Affiliation(s)
- Niuniu Li
- Department of Respiration, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Jianling Ma
- Department of Respiration, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Kun Ji
- Department of Respiration, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Liyun Wang
- Department of Respiration, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, China
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10
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Upadhyay S, Chakraborty A, Thimraj TA, Baldi M, Steneholm A, Ganguly K, Gerde P, Ernstgård L, Palmberg L. Establishment of Repeated In Vitro Exposure System for Evaluating Pulmonary Toxicity of Representative Criteria Air Pollutants Using Advanced Bronchial Mucosa Models. TOXICS 2022; 10:toxics10060277. [PMID: 35736886 PMCID: PMC9228979 DOI: 10.3390/toxics10060277] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 05/16/2022] [Accepted: 05/20/2022] [Indexed: 12/28/2022]
Abstract
There is mounting evidence that shows the association between chronic exposure to air pollutants (particulate matter and gaseous) and onset of various respiratory impairments. However, the corresponding toxicological mechanisms of mixed exposure are poorly understood. Therefore, in this study, we aimed to establish a repeated exposure setting for evaluating the pulmonary toxicological effects of diesel exhaust particles (DEP), nitrogen dioxide (NO2), and sulfur dioxide (SO2) as representative criterial air pollutants. Single, combined (DEP with NO2 and SO2), and repeated exposures were performed using physiologically relevant human bronchial mucosa models developed at the air−liquid interface (bro-ALI). The bro-ALI models were generated using human primary bronchial epithelial cells (3−4 donors; 2 replicates per donor). The exposure regime included the following: 1. DEP (12.5 µg/cm2; 3 min/day, 3 days); 2. low gaseous (NO2: 0.1 ppm + SO2: 0.2 ppm); (30 min/day, 3 days); 3. high gaseous (NO2: 0.2 ppm + SO2: 0.4 ppm) (30 min/day, 3 days); and 4. single combined (DEP + low gaseous for 1 day). The markers for pro-inflammatory (IL8, IL6, NFKB, TNF), oxidative stress (HMOX1, GSTA1, SOD3,) and tissue injury/repair (MMP9, TIMP1) responses were assessed at transcriptional and/ or secreted protein levels following exposure. The corresponding sham-exposed samples under identical conditions served as the control. A non-parametric statistical analysis was performed and p < 0.05 was considered as significant. Repeated exposure to DEP and single combined (DEP + low gaseous) exposure showed significant alteration in the pro-inflammatory, oxidative stress and tissue injury responses compared to repeated exposures to gaseous air pollutants. The study demonstrates that it is feasible to predict the long-term effects of air pollutants using the above explained exposure system.
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Affiliation(s)
- Swapna Upadhyay
- Unit of Integrative Toxicology, Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden; (A.C.); (T.A.T.); (M.B.); (K.G.); (P.G.); (L.E.)
- Correspondence: (S.U.); (L.P.); Tel.:+46-85-2487930 (S.U.); +46-8-524-822-10 (L.P.)
| | - Ashesh Chakraborty
- Unit of Integrative Toxicology, Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden; (A.C.); (T.A.T.); (M.B.); (K.G.); (P.G.); (L.E.)
| | - Tania A. Thimraj
- Unit of Integrative Toxicology, Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden; (A.C.); (T.A.T.); (M.B.); (K.G.); (P.G.); (L.E.)
| | - Marialuisa Baldi
- Unit of Integrative Toxicology, Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden; (A.C.); (T.A.T.); (M.B.); (K.G.); (P.G.); (L.E.)
| | | | - Koustav Ganguly
- Unit of Integrative Toxicology, Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden; (A.C.); (T.A.T.); (M.B.); (K.G.); (P.G.); (L.E.)
| | - Per Gerde
- Unit of Integrative Toxicology, Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden; (A.C.); (T.A.T.); (M.B.); (K.G.); (P.G.); (L.E.)
| | - Lena Ernstgård
- Unit of Integrative Toxicology, Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden; (A.C.); (T.A.T.); (M.B.); (K.G.); (P.G.); (L.E.)
| | - Lena Palmberg
- Unit of Integrative Toxicology, Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden; (A.C.); (T.A.T.); (M.B.); (K.G.); (P.G.); (L.E.)
- Correspondence: (S.U.); (L.P.); Tel.:+46-85-2487930 (S.U.); +46-8-524-822-10 (L.P.)
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11
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Wang JM, Ram S, Labaki WW, Han MK, Galbán CJ. CT-Based Commercial Software Applications: Improving Patient Care Through Accurate COPD Subtyping. Int J Chron Obstruct Pulmon Dis 2022; 17:919-930. [PMID: 35502294 PMCID: PMC9056100 DOI: 10.2147/copd.s334592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 04/03/2022] [Indexed: 12/14/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is heterogenous in its clinical manifestations and disease progression. Patients often have disease courses that are difficult to predict with readily available data, such as lung function testing. The ability to better classify COPD into well-defined groups will allow researchers and clinicians to tailor novel therapies, monitor their effects, and improve patient-centered outcomes. Different modalities of assessing these COPD phenotypes are actively being studied, and an area of great promise includes the use of quantitative computed tomography (QCT) techniques focused on key features such as airway anatomy, lung density, and vascular morphology. Over the last few decades, companies around the world have commercialized automated CT software packages that have proven immensely useful in these endeavors. This article reviews the key features of several commercial platforms, including the technologies they are based on, the metrics they can generate, and their clinical correlations and applications. While such tools are increasingly being used in research and clinical settings, they have yet to be consistently adopted for diagnostic work-up and treatment planning, and their full potential remains to be explored.
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Affiliation(s)
- Jennifer M Wang
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Sundaresh Ram
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Wassim W Labaki
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA
| | - MeiLan K Han
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Craig J Galbán
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA,Correspondence: Craig J Galbán, Department of Radiology, University of Michigan, BSRB, Room A506, 109 Zina Pitcher Place, Ann Arbor, MI, 48109-2200, USA, Tel +1 734-764-8726, Fax +1 734-615-1599, Email
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12
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Silva Rodriguez ME, Silveyra P. Air Pollution Exposure as a Relevant Risk Factor for Chronic Obstructive Pulmonary Disease Exacerbations in Male and Female Patients. EUROPEAN MEDICAL JOURNAL 2022. [DOI: 10.33590/emj/21-00228] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a multifactorial lung inflammatory disease that affects 174 million people worldwide, with a recently reported increased incidence in female patients. Patients with COPD are especially vulnerable to the detrimental effects of environmental exposures, especially from air particulate and gaseous pollutants; exposure to air pollution severely influences COPD outcomes, resulting in acute exacerbations, hospitalisations, and death. Here, a literature review of the recent work addressing air pollution-induced acute exacerbations of COPD (AECOPD) was conducted in order to determine whether sex was considered as a biological variable in these studies, and whether air pollution exposure affected patients with COPD in a sex-specific manner. It was found that, while the majority of studies enrolled both male and female patients, only a few reported results were disaggregated by sex. Most studies had a higher enrolment of male patients, only four compared AECOPD outcomes between sexes, and only one study identified sex differences in AECOPD, with females displaying higher rates. Overall, this analysis of the literature confirmed that air pollution exposure is a trigger for AECOPD hospitalisations and revealed a significant gap in the knowledge of sex-specific effects of air pollutants on COPD outcomes, highlighting the need for more studies to consider sex as a biological variable.
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Affiliation(s)
| | - Patricia Silveyra
- School of Public Health, Indiana University Bloomington, Indiana, USA
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13
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Determinants of Pulmonary Emphysema Severity in Taiwanese Patients with Chronic Obstructive Pulmonary Disease: An Integrated Epigenomic and Air Pollutant Analysis. Biomedicines 2021; 9:biomedicines9121833. [PMID: 34944649 PMCID: PMC8698269 DOI: 10.3390/biomedicines9121833] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 11/27/2021] [Accepted: 12/02/2021] [Indexed: 11/25/2022] Open
Abstract
Background: Chronic obstructive pulmonary disease (COPD) continues to pose a therapeutic challenge. This may be connected with its nosological heterogeneity, broad symptomatology spectrum, varying disease course, and therapy response. The last three decades has been characterized by increased understanding of the pathobiology of COPD, with associated advances in diagnostic and therapeutic modalities; however, the identification of pathognomonic biomarkers that determine disease severity, affect disease course, predict clinical outcome, and inform therapeutic strategy remains a work in progress. Objectives: Hypothesizing that a multi-variable model rather than single variable model may be more pathognomonic of COPD emphysema (COPD-E), the present study explored for disease-associated determinants of disease severity, and treatment success in Taiwanese patients with COPD-E. Methods: The present single-center, prospective, non-randomized study enrolled 125 patients with COPD and 43 healthy subjects between March 2015 and February 2021. Adopting a multimodal approach, including bioinformatics-aided analyses and geospatial modeling, we performed an integrated analysis of selected epigenetic, clinicopathological, geospatial, and air pollutant variables, coupled with correlative analyses of time-phased changes in pulmonary function indices and COPD-E severity. Results: Our COPD cohort consisted of 10 non-, 57 current-, and 58 ex-smokers (median age = 69 ± 7.76 years). Based on the percentages of low attenuation area below − 950 Hounsfield units (%LAA-950insp), 36 had mild or no emphysema (%LAA-950insp < 6), 22 were moderate emphysema cases (6 ≤ %LAA-950insp < 14), and 9 presented with severe emphysema (%LAA-950insp ≥ 14). We found that BMI, lnc-IL7R, PM2.5, PM10, and SO2 were differentially associated with disease severity, and are highly-specific predictors of COPD progression. Per geospatial levels, areas with high BMI and lnc-IL7R but low PM2.5, PM10, and SO2 were associated with fewer and ameliorated COPD cases, while high PM2.5, PM10, and SO2 but low BMI and lnc-IL7R characterized places with more COPD cases and indicated exacerbation. The prediction pentad effectively differentiates patients with mild/no COPD from moderate/severe COPD cases, (mean AUC = 0.714) and exhibited very high stratification precision (mean AUC = 0.939). Conclusion: Combined BMI, lnc-IL7R, PM2.5, PM10, and SO2 levels are optimal classifiers for accurate patient stratification and management triage for COPD in Taiwan. Low BMI, and lnc-IL7R, with concomitant high PM2.5, PM10, and SO2 levels is pathognomonic of exacerbated/aggravated COPD in Taiwan.
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14
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Choi SB, Yun S, Kim SJ, Park YB, Oh K. Effects of exposure to ambient air pollution on pulmonary function impairment in South Korea: Korea National Health and Nutritional Examination Survey. Epidemiol Health 2021; 43:e2021082. [PMID: 34665957 PMCID: PMC8861554 DOI: 10.4178/epih.e2021082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 10/18/2021] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES This study aimed to investigate the association between pulmonary function and air pollution using 2007–2017 data from the Korea National Health and Nutrition Examination Survey, a nationwide cross-sectional representative survey. METHODS A total of 27,378 participants that had sampling weights from a complex sample survey were included in this study. Using the data for forced expiratory volume in 1 second and forced vital capacity, the participants with pulmonary function impairment were classified according to the criteria of restrictive lung disease and chronic obstructive pulmonary disease (COPD). Exposure to ambient air pollution was estimated using the Community Multiscale Air Quality model. Multivariate linear and logistic regression analyses with complex samples were used to determine the associations between pulmonary function and air pollution after adjusting for covariates. RESULTS In total, 13.2% of the participants aged >40 years had COPD, and 10.7% were classified as being in the restrictive lung disease group. According to the multivariate logistic regression model, the odds ratios for the fourth quartiles of particulate matter less than 10 μm in diameter (PM10), particulate matter less than 2.5 μm in diameter (PM2.5) and carbon monoxide (CO) with a 2-year lag period were 1.203 (95% confidence interval [CI], 1.036 to 1.396), 1.283 (95% CI, 1.101 to1.495), and 1.292 (95% CI, 1.110 to 1.504), respectively, using the restrictive lung disease group as an event after adjusting for covariates in the complex sample. CONCLUSIONS Long-term exposure to PM10, PM2.5, and CO was significantly associated with pulmonary function, especially restrictive lung disease.
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Affiliation(s)
- Soo Beom Choi
- Division of Health and Nutrition Survey and Analysis, Korea Disease Control and Prevention Agency, Cheongju, South Korea
| | - Sungha Yun
- Division of Health and Nutrition Survey and Analysis, Korea Disease Control and Prevention Agency, Cheongju, South Korea
| | - Sun-Ja Kim
- Division of Health and Nutrition Survey and Analysis, Korea Disease Control and Prevention Agency, Cheongju, South Korea
| | - Yong Bum Park
- Lung Research Institute of Hallym University College of Medicine, Chuncheon, South Korea.,Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Kangdong Sacred Heart Hospital, Seoul, South Korea
| | - Kyungwon Oh
- Division of Health and Nutrition Survey and Analysis, Korea Disease Control and Prevention Agency, Cheongju, South Korea
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15
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Kapwata T, Wright CY, du Preez DJ, Kunene Z, Mathee A, Ikeda T, Landman W, Maharaj R, Sweijd N, Minakawa N, Blesic S. Exploring rural hospital admissions for diarrhoeal disease, malaria, pneumonia, and asthma in relation to temperature, rainfall and air pollution using wavelet transform analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 791:148307. [PMID: 34139502 DOI: 10.1016/j.scitotenv.2021.148307] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/10/2021] [Accepted: 06/02/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Climate variables impact human health and in an era of climate change, there is a pressing need to understand these relationships to best inform how such impacts are likely to change. OBJECTIVES This study sought to investigate time series of daily admissions from two public hospitals in Limpopo province in South Africa with climate variability and air quality. METHODS We used wavelet transform cross-correlation analysis to monitor coincidences in changes of meteorological (temperature and rainfall) and air quality (concentrations of PM2.5 and NO2) variables with admissions to hospitals for gastrointestinal illnesses including diarrhoea, pneumonia-related diagnosis, malaria and asthma cases. We were interested to disentangle meteorological or environmental variables that might be associated with underlying temporal variations of disease prevalence measured through visits to hospitals. RESULTS We found preconditioning of prevalence of pneumonia by changes in air quality and showed that malaria in South Africa is a multivariate event, initiated by co-occurrence of heat and rainfall. We provided new statistical estimates of time delays between the change of weather or air pollution and increase of hospital admissions for pneumonia and malaria that are addition to already known seasonal variations. We found that increase of prevalence of pneumonia follows changes in air quality after a time period of 10 to 15 days, while the increase of incidence of malaria follows the co-occurrence of high temperature and rainfall after a 30-day interval. DISCUSSION Our findings have relevance for early warning system development and climate change adaptation planning to protect human health and well-being.
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Affiliation(s)
- Thandi Kapwata
- Environment and Health Research Unit, South African Medical Research Council, Johannesburg, South Africa; Environmental Health Department, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa
| | - Caradee Y Wright
- Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa; Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa.
| | - David Jean du Preez
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa; Laboratoire de l'Atmosphère et des Cyclones (UMR 8105 CNRS, Université de La Réunion, MétéoFrance), 97744 Saint-Denis de La Réunion, France
| | - Zamantimande Kunene
- Environment and Health Research Unit, South African Medical Research Council, Johannesburg, South Africa
| | - Angela Mathee
- Environment and Health Research Unit, South African Medical Research Council, Johannesburg, South Africa; Environmental Health Department, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa; School of Public Health, University of the Witwatersrand, Johannesburg 2028, South Africa; Department of Environmental Health, Faculty of Health Sciences, Nelson Mandela University, Port Elizabeth, South Africa
| | | | - Willem Landman
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa; International Research Institute for Climate and Society, The Earth Institute of Columbia University, New York, NY, 10964, USA
| | - Rajendra Maharaj
- Office of Malaria Research, South African Medical Research Council, Durban, South Africa
| | - Neville Sweijd
- Applied Centre for Climate and Earth Systems Science, National Research Foundation, Cape Town, South Africa
| | - Noboru Minakawa
- Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Suzana Blesic
- Institute for Medical Research, University of Belgrade, Belgrade, Serbia; Center for Participatory Science, Belgrade, Serbia
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16
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Misiukiewicz-Stepien P, Paplinska-Goryca M. Biological effect of PM 10 on airway epithelium-focus on obstructive lung diseases. Clin Immunol 2021; 227:108754. [PMID: 33964432 DOI: 10.1016/j.clim.2021.108754] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 04/16/2021] [Accepted: 05/03/2021] [Indexed: 12/11/2022]
Abstract
Recently, a continuous increase in environmental pollution has been observed. Despite wide-scale efforts to reduce air pollutant emissions, the problem is still relevant. Exposure to elevated levels of airborne particles increased the incidence of respiratory diseases. PM10 constitute the largest fraction of air pollutants, containing particles with a diameter of less than 10 μm, metals, pollens, mineral dust and remnant material from anthropogenic activity. The natural airway defensive mechanisms against inhaled material, such as mucus layer, ciliary clearance and macrophage phagocytic activity, may be insufficient for proper respiratory function. The epithelium layer can be disrupted by ongoing oxidative stress and inflammatory processes induced by exposure to large amounts of inhaled particles as well as promote the development and exacerbation of obstructive lung diseases. This review draws attention to the current state of knowledge about the physical features of PM10 and its impact on airway epithelial cells, and obstructive pulmonary diseases.
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Affiliation(s)
- Paulina Misiukiewicz-Stepien
- Postgraduate School of Molecular Medicine, Medical University of Warsaw, Warsaw, Poland; Department of Internal Medicine, Pulmonary Diseases and Allergy, Medical University of Warsaw, Poland.
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17
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Kim J, Kim B, Bak SH, Oh YM, Kim WJ. A comparative study of chest CT findings regarding the effects of regional dust exposure on patients with COPD living in urban areas and rural areas near cement plants. Respir Res 2021; 22:43. [PMID: 33549113 PMCID: PMC7866433 DOI: 10.1186/s12931-021-01649-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 02/01/2021] [Indexed: 12/02/2022] Open
Abstract
Background The clinical and radiological presentation of chronic obstructive pulmonary disease (COPD) is heterogenous depending on the characterized sources of inflammation. This study aimed to evaluate COPD phenotypes associated with specific dust exposure. Methods This study was designed to compare the characteristics, clinical outcomes and radiological findings between two prospective COPD cohorts representing two distinguishing regions in the Republic of Korea; COPD in Dusty Area (CODA) and the Korean Obstructive Lung Disease (KOLD) cohort. A total of 733 participants (n = 186 for CODA, and n = 547 for KOLD) were included finally. A multivariate analysis to compare lung function and computed tomography (CT) measurements of both cohort studies after adjusting for age, sex, education, body mass index, smoking status, and pack-year, Charlson comorbidity index, and frequency of exacerbation were performed by entering the level of FEV1(%), biomass exposure and COPD medication into the model in stepwise. Results The mean wall area (MWA, %) became significantly lower in COPD patients in KOLD from urban and metropolitan area than those in CODA cohort from cement dust area (mean ± standard deviation [SD]; 70.2 ± 1.21% in CODA vs. 66.8 ± 0.88% in KOLD, p = 0.028) after including FEV1 in the model. COPD subjects in KOLD cohort had higher CT-emphysema index (EI, 6.07 ± 3.06 in CODA vs. 20.0 ± 2.21 in KOLD, p < 0.001, respectively). The difference in the EI (%) was consistently significant even after further adjustment of FEV1 (6.12 ± 2.88% in CODA vs. 17.3 ± 2.10% in KOLD, p = 0.002, respectively). However, there was no difference in the ratio of mean lung density (MLD) between the two cohorts (p = 0.077). Additional adjustment for biomass parameters and medication for COPD did not alter the statistical significance after entering into the analysis with COPD medication. Conclusions Higher MWA and lower EI were observed in COPD patients from the region with dust exposure. These results suggest that the imaging phenotype of COPD is influenced by specific environmental exposure.
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Affiliation(s)
- Junghyun Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul, Republic of Korea
| | - Bom Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University, Chuncheon, Republic of Korea
| | - So Hyeon Bak
- Deparment of Radiology, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea
| | - Yeon-Mok Oh
- Department of Pulmonary and Critical Care Medicine and Clinical Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University, Chuncheon, Republic of Korea.
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18
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Han H, Oh EY, Lee JH, Park JW, Park HJ. Effects of Particulate Matter 10 Inhalation on Lung Tissue RNA expression in a Murine Model. Tuberc Respir Dis (Seoul) 2020; 84:55-66. [PMID: 33253518 PMCID: PMC7801812 DOI: 10.4046/trd.2020.0107] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 11/30/2020] [Indexed: 12/17/2022] Open
Abstract
Background Particulate matter 10 (PM10; airborne particles <10 μm) inhalation has been demonstrated to induce airway and lung diseases. In this study, we investigate the effects of PM10 inhalation on RNA expression in lung tissues using a murine model. Methods Female BALB/c mice were affected with PM10, ovalbumin (OVA), or both OVA and PM10. PM10 was administered intranasally while OVA was both intraperitoneally injected and intranasally administered. Treatments occurred 4 times over a 2-week period. Two days after the final challenges, mice were sacrificed. Full RNA sequencing using lung homogenates was conducted. Results While PM10 did not induce cell proliferation in bronchoalveolar fluid or lead to airway hyper-responsiveness, it did cause airway inflammation and lung fibrosis. Levels of interleukin 1β, tumor necrosis factor-α, and transforming growth factor-β in lung homogenates were significantly elevated in the PM10-treated group, compared to the control group. The PM10 group also showed increased RNA expression of Rn45a, Snord22, Atp6v0c-ps2, Snora28, Snord15b, Snora70, and Mmp12. Generally, genes associated with RNA splicing, DNA repair, the inflammatory response, the immune response, cell death, and apoptotic processes were highly expressed in the PM10-treated group. The OVA/PM10 treatment did not produce greater effects than OVA alone. However, the OVA/PM10-treated group did show increased RNA expression of Clca1, Snord22, Retnla, Prg2, Tff2, Atp6v0c-ps2, and Fcgbp when compared to the control groups. These genes are associated with RNA splicing, DNA repair, the inflammatory response, and the immune response. Conclusion Inhalation of PM10 extensively altered RNA expression while also inducing cellular inflammation, fibrosis, and increased inflammatory cytokines in this murine mouse model.
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Affiliation(s)
- Heejae Han
- Department of Internal Medicine, Gangnam Severance Hospital, Seoul, Republic of Korea
| | - Eun-Yi Oh
- Institute of Allergy, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jae-Hyun Lee
- Institute of Allergy, Yonsei University College of Medicine, Seoul, Republic of Korea.,Division of Allergy and Immunology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jung-Won Park
- Institute of Allergy, Yonsei University College of Medicine, Seoul, Republic of Korea.,Division of Allergy and Immunology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hye Jung Park
- Department of Internal Medicine, Gangnam Severance Hospital, Seoul, Republic of Korea
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