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Chen CC, Wang YR, Liu JS, Chang HY, Chen PC. Associations between long-term ambient PM 2.5 exposure and the incidence of cardiopulmonary diseases and diabetes, attributable years lived with disability, and policy implication. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 282:116688. [PMID: 38971102 DOI: 10.1016/j.ecoenv.2024.116688] [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: 04/18/2024] [Revised: 06/19/2024] [Accepted: 07/02/2024] [Indexed: 07/08/2024]
Abstract
Long-term exposure to ambient PM2.5 is known associated with cardiovascular and respiratory health effects. However, the heterogeneous concentrationresponse function (CRF) between PM2.5 exposure across different concentration range and cardiopulmonary disease and diabetes mellitus (DM) incidence, and their implications on attributable years lived with disability (YLD) and regulation policy has not been well-studied. In this retrospective longitudinal cohort study, disease-free participants (approximately 170,000 individuals, aged ≥ 30 years) from the MJ Health Database were followed up (2007-2017) regarding incidents of coronary heart disease (CHD), ischemic stroke, chronic obstructive pulmonary disease (COPD), lower respiratory tract infections (LRIs), and DM. We used a time-dependent nonlinear weight-transformation Cox regression model for the CRF with an address-matched 3-year mean PM2.5 exposure estimate. Town/district-specific PM2.5-attributable YLD were calculated by multiplying the disease incidence rate, population attributable fraction, disability weight, and sex-age group specific subpopulation for each disease separately. The estimated CRFs for cardiopulmonary diseases were heterogeneously with the hazard ratios (HRs) increased rapidly for CHD and ischemic stroke at PM2.5 concentration lower than 10 μg/m3, whereas the HRs for DM (LRIs) increased with PM2.5 higher than 15 (20) μg/m3. Women had higher HRs for ischemic stroke and DM but not CHD. Relative to the lowest observed PM2.5 concentration of 6 μg/m3 of the study population, the PM2.5 level with an extra risk of 0.1 % (comparable to the disease incidence) for CHD, ischemic stroke, DM, and LRIs were 8.59, 11.85, 22.09, and 24.23 μg/m3, respectively. The associated attributable YLD decreased by 51.4 % with LRIs reduced most (83.6 %), followed by DM (63.7 %) as a result of PM2.5 concentration reduction from 26.10 to 16.82 μg/m3 during 2011-2019 in Taiwan. The proportion of YLD due to CHD and ischemic stroke remained dominant (56.4 %-69.9 %). The cost-benefit analysis for the tradeoff between avoidable YLD and mitigation cost suggested an optimal PM2.5 exposure level at 12 μg/m3. CRFs for cardiopulmonary diseases, attributable YLD, and regulation level, may vary depending on the national/regional background and spatial distribution of PM2.5 concentrations, as well as demographic characteristics.
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Affiliation(s)
- Chu-Chih Chen
- Institute of Population Health Sciences, National Health Research Institutes, Taiwan; Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Taiwan.
| | - Yin-Ru Wang
- Institute of Population Health Sciences, National Health Research Institutes, Taiwan
| | - Jih-Shin Liu
- Institute of Population Health Sciences, National Health Research Institutes, Taiwan
| | - Hsing-Yi Chang
- Institute of Population Health Sciences, National Health Research Institutes, Taiwan
| | - Pau-Chung Chen
- Department of Environmental and Occupational Medicine, National Taiwan University (NTU) College of Medicine and NTU Hospital, Taiwan; Institute of Environmental and Occupational Health Sciences, School of Public Health, National Taiwan University, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institutes, Taiwan
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Aron J, Baldomero AK, Rau A, Fiecas MB, Wendt CH, Berman JD. Individual Risk Factors of PM 2.5 Associated With Wintertime Mortality in Urban Patients With COPD. Chest 2024; 165:825-835. [PMID: 37858719 PMCID: PMC11026168 DOI: 10.1016/j.chest.2023.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/19/2023] [Accepted: 10/11/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND Air pollution contributes to premature mortality, but potential impacts differ in populations with existing disease, particularly for individuals with multiple risk factors. Although COPD increases vulnerability to air pollution, individuals with COPD and other individual risk factors are at the intersection of multiple risks and may be especially susceptible to the effect of acute outdoor air pollution. RESEARCH QUESTION What is the association between wintertime air pollution and mortality in patients with COPD and the modifying role of individual risk factors? STUDY DESIGN AND METHODS This study evaluated 19,243 deceased veterans with prior COPD diagnosis who had resided in 25 US metropolitan regions (2016-2019). Electronic health records included patient demographic characteristics; smoking status; and comorbidities such as asthma, coronary artery disease (CAD), obesity, and diabetes. Using geocoded addresses, individuals were assigned wintertime fine particulate matter (particulate matter smaller than 2.5 μg in diameter [PM2.5]) and nitrogen dioxide air pollution exposures. Associations between acute air pollution and mortality were estimated by using a time-stratified case-crossover design with a conditional logistic model, and individual risk differences were assessed according to stratified analysis. RESULTS A 1.05 (95% CI, 1.02-1.09) mortality risk was estimated for each 10 μg/m3 increase in daily wintertime PM2.5). Older patients and Black individuals displayed elevated risk. Obesity was a substantial air pollution-related mortality risk factor (OR, 1.11; 95% CI, 1.01-1.23), and the estimated risk for individuals with obesity plus CAD or obesity plus diabetes was 16% higher. INTERPRETATION Wintertime PM2.5 exposure was associated with elevated mortality risk in people with COPD, but individuals with multiple comorbidities, notably obesity, had high vulnerability. Our study suggests that obesity, CAD, and diabetes are understudied modifiers of air pollution-related risks for people with existing COPD.
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Affiliation(s)
- Jordan Aron
- Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN.
| | - Arianne K Baldomero
- Pulmonary, Allergy, Critical Care and Sleep Medicine, Medical School, University of Minnesota, Minneapolis, MN; Pulmonary, Allergy, Critical Care, and Sleep Medicine, Minneapolis VA Health Care System, Minneapolis, MN; Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN
| | - Austin Rau
- Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Mark B Fiecas
- Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Christine H Wendt
- Pulmonary, Allergy, Critical Care and Sleep Medicine, Medical School, University of Minnesota, Minneapolis, MN; Pulmonary, Allergy, Critical Care, and Sleep Medicine, Minneapolis VA Health Care System, Minneapolis, MN
| | - Jesse D Berman
- Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN
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Cheng XF, Min SH, Guo RQ, Zhang JD, Zhang YL, Li B. Disease burden of COPD attributable to PM 2.5 in China, Japan and South Korea from 1990 to 2019: a comparative study based on Global Burden of Disease Study 2019. BMJ Open 2024; 14:e078887. [PMID: 38355185 PMCID: PMC10868288 DOI: 10.1136/bmjopen-2023-078887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 01/26/2024] [Indexed: 02/16/2024] Open
Abstract
OBJECTIVE We hope to reveal the changing trends of chronic obstructive pulmonary disease (COPD) burden attributable to particulate matter pollution (PM2.5) and its age, period and cohort effects in China, Japan and Korea. DESIGN We analysed the trend of COPD disease burden attributable to PM2.5 from 1990 to 2019 based on the latest Global Burden of Disease Database (GBD 2019) using JoinPoint model and analysed the effect of age, period and cohort on COPD burden attributable to PM2.5 in China, Japan and Korea from 1990 to 2019 using age-period-cohort model (model). SETTING GBD data from 1990 to 2019. PARTICIPANTS Data were publicly available and individuals were not involved. MAIN OUTCOMES Outcomes included the age standardised mortality rate (ASMR), the age-standardised disability-adjusted life year (DALY), average annual per cent change (AAPC), net drift, local drift, longitudinal age curves, period (cohort) rate ratios, age (period, cohort) bias coefficient. RESULTS From 1990 to 2019, the ASMR of COPD attributable to PM2.5 in China (AAPC=-5.862), Japan (AAPC=-1.715) and Korea (AAPC=-1.831) showed a downward trend. The age-standardised DALY of COPD attributable to PM2.5 in China (AAPC=-5.821), Japan (AAPC=-1.39) and Korea (AAPC=-1.239) showed a downward trend. Mortality of COPD attributable to PM2.5 increased slowly with age in Korea and Japan. Mortality of COPD attributable to PM2.5 in China decreased after rising (95% CI: 404.66 to 466.01). Mortality of COPD attributable to PM2.5 decreased over time in China and Korea, while it increased in Japan from 2015 to 2019. In China and Japan, mortality of COPD attributable to PM2.5 was approximately lower the later the birth, while in Korea it decreased after an increase (95% CI: 2.13 to 2.40) in the 1900-1910. CONCLUSIONS Most COPD burden attributable to PM2.5 is on the decline; COPD mortality attributable to PM2.5 both increased with age and decreased with time and cohort. Countries with high burden should develop targeted measures to control PM2.5.
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Affiliation(s)
| | - Shu-Hui Min
- Southern Medical University, Guangzhou, China
| | - Rui-Qi Guo
- Southern Medical University, Guangzhou, China
| | | | - Yi-Li Zhang
- Southern Medical University, Guangzhou, China
| | - Bei Li
- Southern Medical University, Guangzhou, China
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Sebastião BF, Hortelão RM, Granadas SS, Faria JM, Pinto JR, Henriques HR. Air quality self-management in asthmatic patients with COPD: An integrative review for developing nursing interventions to prevent exacerbations. Int J Nurs Sci 2024; 11:46-56. [PMID: 38352284 PMCID: PMC10859576 DOI: 10.1016/j.ijnss.2023.12.003] [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: 08/24/2023] [Revised: 11/16/2023] [Accepted: 12/07/2023] [Indexed: 02/16/2024] Open
Abstract
Objectives Asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) patients experience a lower quality of life, frequent exacerbations, and worse pulmonary function. Environmental management is essential in a complex chronic condition, as pollutant exposure can worsen symptoms and increase morbidity and mortality. We aimed to identify evidence that informs nursing interventions in promoting self-management of air quality in asthmatic people with COPD. Methods We conducted an integrative review in March of 2023. We searched the databases CINAHL, MEDLINE, Academic Search Complete, Cochrane Database of Systematic Reviews (CDSR), Scopus, Web of Science, Joanna Briggs Institute (JBI) Evidence-Based Practice Database, and Google Scholar. We included articles whose participants were adults with asthma, COPD, or both; the intervention was air quality management and the outcome of any exacerbations. We excluded editorials, letters, commentaries, opinion papers, position papers, study protocols, conference abstracts, and reviews. Data extraction and synthesis were performed, categorizing interventions according to nursing actions. Methodological quality assessment was conducted using the JBI Critical Appraisal Checklist tools. The review protocol was registered at Open Science Framework (https://doi.org/10.17605/OSF.IO/5Y4KW). Results We included five articles from different countries. The interventions promoting air quality self-management for individuals with asthma and COPD included vigilance interventions (health professional regular visits, assessment of symptoms), monitoring interventions (measurement of indoor and outdoor trigger factors), and educational interventions (air quality alerts, allergen avoidance). Policy interventions such as smoke-free policies and comprehensive strategies to improve air quality were also identified. These areas of focus represent critical components of nurses' interventions and can integrate the fundamental patterns of knowing in nursing. Although the studies reveal heterogeneous interventions and the methodological quality is variable, these interventions showed potential for preventing exacerbations, reducing emergency department visits, and minimizing hospitalizations. Conclusions The study emphasizes the need for a comprehensive approach involving nurses in multidisciplinary teams to air quality self-management. They can use these results to inform their interventions and ways of knowing, benefiting individuals with asthma and COPD. Further research is needed to expand the evidence base and refine these interventions.
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Affiliation(s)
- Bruna F. Sebastião
- Nursing School of Lisbon, Lisbon, Portugal
- Hospital Center of Central Lisbon, Portugal
| | - Raquel M. Hortelão
- Nursing School of Lisbon, Lisbon, Portugal
- CUF Tejo Hospital, Lisbon, Portugal
| | - Sara S. Granadas
- Nursing School of Lisbon, Lisbon, Portugal
- University Hospital Center of Northern Lisbon, Lisbon, Portugal
| | - José M. Faria
- Nursing School of Lisbon, Lisbon, Portugal
- Hospital Center of Central Lisbon, Portugal
- Nursing Research, Innovation and Development Centre of Lisbon (CIDNUR), Lisbon, Portugal
| | - Joana R. Pinto
- Nursing School of Lisbon, Lisbon, Portugal
- Hospital Center of Central Lisbon, Portugal
- Nursing Research, Innovation and Development Centre of Lisbon (CIDNUR), Lisbon, Portugal
| | - Helga Rafael Henriques
- Nursing School of Lisbon, Lisbon, Portugal
- Nursing Research, Innovation and Development Centre of Lisbon (CIDNUR), Lisbon, Portugal
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Pokharel A, Hennessy DA, Wu F. Health burden associated with tillage-related PM 2.5 pollution in the United States, and mitigation strategies. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 903:166161. [PMID: 37574060 DOI: 10.1016/j.scitotenv.2023.166161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 08/02/2023] [Accepted: 08/07/2023] [Indexed: 08/15/2023]
Abstract
Exposure to airborne particulate matter of diameter less than 2.5 μm (PM2.5) is associated with cardiovascular diseases (CVD) and chronic obstructive pulmonary disease (COPD). In agriculture, the practice of tilling generates PM2.5 emissions that can jeopardize human health. This paper estimates the annual deaths and disability-adjusted life years (DALYs) from CVD and COPD attributable to PM2.5 emissions from corn, soybean, cotton, and wheat tillage in the contiguous United States. Primary PM2.5 from crop-tillage combination was calculated using values obtained from the Environmental Protection Agency's National Emissions Inventory, 2017, while deaths and DALYs estimates were calculated using data from the Institute of Health Metrics and Evaluation's global burden of risk factors study, the US decennial census, and the US Centers for Disease Control. We also propose and implement a conceptual framework for identifying the optimal subsidy upon accounting for health benefits arising from reducing conventional tillage, and we discuss strategies to achieve conservation tillage. Annual PM2.5 emissions from crop tillage is about 0.25 million tons. We estimate that approximately 1000 annual deaths and 22,000 DALYs from CVD, as well as 300 annual deaths and 7400 DALYs from COPD, were attributable to tillage-related PM2.5 emissions. Tillage related primary PM2.5 emissions contribute about 0.002 % of total CVD and COPD deaths in the United States, and its related health economic value loss is about 12.9 billion USD annually. About 350 annual deaths may be averted upon a shift from conventional to conservation tillage. Conservation tillage is generally adopted when the pecuniary and soil health benefits exceed those from adopting intensive tillage. Agricultural policies and on-farm measures that may help reduce intensive tillage, and the related PM2.5 emissions, include subsidies for adopting conservation tillage and carbon capture credits, use of herbicides and herbicide-tolerant crops, protecting herbicide-tolerance traits, planting cover crops, and use of windbreaks.
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Affiliation(s)
- Ashish Pokharel
- Department of Agricultural, Food, and Resource Economics, Michigan State University, East Lansing, MI, USA
| | | | - Felicia Wu
- Department of Agricultural, Food, and Resource Economics, Michigan State University, East Lansing, MI, USA; Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA.
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Delavar MA, Jahani MA, Sepidarkish M, Alidoost S, Mehdinezhad H, Farhadi Z. Relationship between fine particulate matter (PM 2.5) concentration and risk of hospitalization due to chronic obstructive pulmonary disease: a systematic review and meta-analysis. BMC Public Health 2023; 23:2229. [PMID: 37953239 PMCID: PMC10641956 DOI: 10.1186/s12889-023-17093-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 10/28/2023] [Indexed: 11/14/2023] Open
Abstract
BACKGROUND Short-term exposure to PM2.5 has been associated with human health risks. However, evidence on the association between short-term exposure to PM2.5 and the risk of chronic obstructive pulmonary disease (COPD) remains limited and controversial. This study aimed to specifically assess the relationship between exposure to PM2.5 and the risk of hospitalization due to COPD. METHODS A systematic search was conducted in PubMed, Web of Science, and Google Scholar databases from January 1, 2010 to May 1, 2022. The odds ratio (OR) statistic was calculated as a common measure of effect size. Publication bias was also examined in all eligible studies on COPD hospitalization using funnel plots and Egger's test, as well as trim-and-fill method for missing studies on COPD hospitalization. RESULTS A total of 19 studies were included in this meta-analysis. Random-effects models were plotted to calculate the pooled effect size by measuring OR (χ2 = 349.95; df = 18; I2 = 94.86%; P = 0.007; Z = 2.68; P < 0.001). A 10-mg/m3 daily increase in PM2.5 concentration was associated with a 1.6% (95% CI: 0.4-2.9%) increase in COPD hospitalization. There was no publication bias regarding the association between COPD hospitalization and PM2.5 (bias = 1.508; 95% CI: -1.475, 4.491; t = 1.066; P = 0.301). The subgroups of age ≥ 65 years and Asian countries were associated with an increased risk of COPD hospitalization. Besides, higher risks were estimated in the subgroups of studies performed in the warm season, case-crossover studies, studies with three lag days, and studies without adjustments for humidity and temperature confounders, with very small heterogeneity. CONCLUSION Evidence suggests that short-term exposure to PM2.5 increases COPD hospitalization. Further studies are needed to understand the mechanism of the association between PM2.5 and COPD for reducing air pollution, which can be beneficial for COPD patients.
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Affiliation(s)
- Mouloud Agajani Delavar
- Infertility and Reproductive Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Mohammad Ali Jahani
- Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Mahdi Sepidarkish
- Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Saeide Alidoost
- National Center for Strategic Research in Medical Education, Tehran, Iran
| | - Hamed Mehdinezhad
- Department of Internal Medicine, School of Medicine, Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran
| | - Zeynab Farhadi
- Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
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Chen D, Billmire M, Loughner CP, Bredder A, French NHF, Kim HC, Loboda TV. Simulating spatio-temporal dynamics of surface PM 2.5 emitted from Alaskan wildfires. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 898:165594. [PMID: 37467978 DOI: 10.1016/j.scitotenv.2023.165594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 07/13/2023] [Accepted: 07/15/2023] [Indexed: 07/21/2023]
Abstract
Wildfire is a major disturbance agent in Arctic boreal and tundra ecosystems that emits large quantities of atmospheric pollutants, including PM2.5. Under the substantial Arctic warming which is two to three times of global average, wildfire regimes in the high northern latitude regions are expected to intensify. This imposes a considerable threat to the health of the people residing in the Arctic regions. Alaska, as the northernmost state of the US, has a sizable rural population whose access to healthcare is greatly limited by a lack of transportation and telecommunication infrastructure and low accessibility. Unfortunately, there are only a few air quality monitoring stations across the state of Alaska, and the air quality of most remote Alaskan communities is not being systematically monitored, which hinders our understanding of the relationship between wildfire emissions and human health within these communities. Models simulating the dispersion of pollutants emitted by wildfires can be extremely valuable for providing spatially comprehensive air quality estimates in areas such as Alaska where the monitoring station network is sparse. In this study, we established a methodological framework that is based on an integration of the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, the Wildland Fire Emissions Inventory System (WFEIS), and the Arctic-Boreal Vulnerability Experiment (ABoVE) Wildfire Date of Burning (WDoB) dataset, an Arctic-oriented fire product. Through our framework, daily gridded surface-level PM2.5 concentrations for the entire state of Alaska between 2001 and 2015 for which wildfires are responsible can be estimated. This product reveals the spatio-temporal patterns of the impacts of wildfires on the regional air quality in Alaska, which, in turn, offers a direct line of evidence indicating that wildfire is the dominant driver of PM2.5 concentrations over Alaska during the fire season. Additionally, it provides critical data inputs for research on understanding how wildfires affect human health which creates the basis for the development of effective and efficient mitigation efforts.
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Affiliation(s)
- Dong Chen
- Department of Geographical Sciences, University of Maryland, College Park, MD, USA.
| | - Michael Billmire
- Michigan Tech Research Institute, Michigan Technological University, Ann Arbor, MI, USA.
| | - Christopher P Loughner
- Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA.
| | - Allison Bredder
- Department of Geographical Sciences, University of Maryland, College Park, MD, USA.
| | - Nancy H F French
- Michigan Tech Research Institute, Michigan Technological University, Ann Arbor, MI, USA.
| | - Hyun Cheol Kim
- Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA; Cooperative Institute for Satellite Earth System Studies, University of Maryland, College Park, MD, USA.
| | - Tatiana V Loboda
- Department of Geographical Sciences, University of Maryland, College Park, MD, USA.
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Maccarone J, Grady ST, Moy ML, Hart JE, Kang CM, Coull BA, Schwartz JD, Koutrakis P, Zhang J, Garshick E. Indoor (residential) and ambient particulate matter associations with urinary oxidative stress biomarkers in a COPD cohort. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 897:165352. [PMID: 37419349 PMCID: PMC10529440 DOI: 10.1016/j.scitotenv.2023.165352] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/18/2023] [Accepted: 07/04/2023] [Indexed: 07/09/2023]
Abstract
OBJECTIVES Oxidative stress contributes to chronic obstructive pulmonary disease (COPD) pathophysiology. Associations between indoor (residential) exposure to particulate matter ≤2.5 μm in diameter (PM2.5) and one of its components, black carbon (BC), and oxidative stress are ill-defined. METHODS Between 2012 and 2017, 140 patients with COPD completed in-home air sampling over one week intervals, followed by collection of urine samples to measure oxidative stress biomarkers, malondialdehyde (MDA), a marker of lipid peroxidation, and 8-hydroxy-2' -deoxyguanosine (8-OHdG), a marker of oxidative DNA damage. Ambient (central site) BC and PM2.5 were measured, and the ratio of indoor/ambient sulfur in PM2.5, a surrogate for residential ventilation and particle infiltration, was used to estimate indoor BC and PM2.5 of outdoor origin. Mixed effects linear regression models with a participant-specific random intercept were used to assess associations with oxidative biomarkers, adjusting for personal characteristics. RESULTS There were positive associations (% increase per IQR; 95 % CI) of directly measured indoor BC with total MDA (6.96; 1.54, 12.69) and 8-OHdG (4.18; -0.67, 9.27), and similar associations with both indoor BC of outdoor origin and ambient BC. There were no associations with directly measured indoor PM2.5, but there were positive associations between indoor PM2.5 of outdoor origin and total MDA (5.40; -0.91, 12.11) and 8-OHdG (8.02; 2.14, 14.25). CONCLUSIONS In homes with few indoor combustion sources, directly measured indoor BC, estimates of indoor BC and PM2.5 of outdoor origin, and ambient BC, were positively associated with urinary biomarkers of oxidative stress. This suggests that the infiltration of particulate matter from outdoor sources, attributable to traffic and other sources of combustion, promotes oxidative stress in COPD patients.
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Affiliation(s)
- Jennifer Maccarone
- VA Boston Healthcare System, Boston, MA, USA; The Pulmonary Center, Boston University School of Medicine, Boston, MA, USA.
| | | | - Marilyn L Moy
- VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Jaime E Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Brent A Coull
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel D Schwartz
- Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Junfeng Zhang
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Eric Garshick
- VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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Zou Z, Yoshimura Y, Yamanishi Y, Oki S. Elucidating disease-associated mechanisms triggered by pollutants via the epigenetic landscape using large-scale ChIP-Seq data. Epigenetics Chromatin 2023; 16:34. [PMID: 37743474 PMCID: PMC10518938 DOI: 10.1186/s13072-023-00510-w] [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: 08/21/2023] [Accepted: 09/19/2023] [Indexed: 09/26/2023] Open
Abstract
BACKGROUND Despite well-documented effects on human health, the action modes of environmental pollutants are incompletely understood. Although transcriptome-based approaches are widely used to predict associations between chemicals and disorders, the molecular cues regulating pollutant-derived gene expression changes remain unclear. Therefore, we developed a data-mining approach, termed "DAR-ChIPEA," to identify transcription factors (TFs) playing pivotal roles in the action modes of pollutants. METHODS Large-scale public ChIP-Seq data (human, n = 15,155; mouse, n = 13,156) were used to predict TFs that are enriched in the pollutant-induced differentially accessible genomic regions (DARs) obtained from epigenome analyses (ATAC-Seq). The resultant pollutant-TF matrices were then cross-referenced to a repository of TF-disorder associations to account for pollutant modes of action. We subsequently evaluated the performance of the proposed method using a chemical perturbation data set to compare the outputs of the DAR-ChIPEA and our previously developed differentially expressed gene (DEG)-ChIPEA methods using pollutant-induced DEGs as input. We then adopted the proposed method to predict disease-associated mechanisms triggered by pollutants. RESULTS The proposed approach outperformed other methods using the area under the receiver operating characteristic curve score. The mean score of the proposed DAR-ChIPEA was significantly higher than that of our previously described DEG-ChIPEA (0.7287 vs. 0.7060; Q = 5.278 × 10-42; two-tailed Wilcoxon rank-sum test). The proposed approach further predicted TF-driven modes of action upon pollutant exposure, indicating that (1) TFs regulating Th1/2 cell homeostasis are integral in the pathophysiology of tributyltin-induced allergic disorders; (2) fine particulates (PM2.5) inhibit the binding of C/EBPs, Rela, and Spi1 to the genome, thereby perturbing normal blood cell differentiation and leading to immune dysfunction; and (3) lead induces fatty liver by disrupting the normal regulation of lipid metabolism by altering hepatic circadian rhythms. CONCLUSIONS Highlighting genome-wide chromatin change upon pollutant exposure to elucidate the epigenetic landscape of pollutant responses outperformed our previously described method that focuses on gene-adjacent domains only. Our approach has the potential to reveal pivotal TFs that mediate deleterious effects of pollutants, thereby facilitating the development of strategies to mitigate damage from environmental pollution.
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Affiliation(s)
- Zhaonan Zou
- Department of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Yuka Yoshimura
- Department of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Yoshihiro Yamanishi
- Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Furo-Cho, Chikusa-Ku, Nagoya, 464-8602, Japan
| | - Shinya Oki
- Department of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
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Zhu RX, Nie XH, Liu XF, Zhang YX, Chen J, Liu XJ, Hui XJ. Short-term effect of particulate matter on lung function and impulse oscillometry system (IOS) parameters of chronic obstructive pulmonary disease (COPD) in Beijing, China. BMC Public Health 2023; 23:1417. [PMID: 37488590 PMCID: PMC10367330 DOI: 10.1186/s12889-023-16308-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 07/13/2023] [Indexed: 07/26/2023] Open
Abstract
OBJECTIVE This study aimed to evaluate the associations between particulate matter (PM), lung function and Impulse Oscillometry System (IOS) parameters in chronic obstructive pulmonary disease (COPD) patients and identity effects between different regions in Beijing, China. METHODS In this retrospective study, we recruited 1348 outpatients who visited hospitals between January 2016 and December 2019. Ambient air pollutant data were obtained from the central monitoring stations nearest the participants' residential addresses. We analyzed the effect of particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5) exposure on lung function and IOS parameters using a multiple linear regression model, adjusting for sex, smoking history, education level, age, body mass index (BMI), mean temperature, and relative humidity . RESULTS The results showed a relationship between PM2.5, lung function and IOS parameters. An increase of 10 µg/m3 in PM2.5 was associated with a decline of 2.083% (95% CI: -3.047 to - 1.103) in forced expiratory volume in one second /predict (FEV1%pred), a decline of 193 ml/s (95% CI: -258 to - 43) in peak expiratory flow (PEF), a decline of 0.932% (95% CI: -1.518 to - 0.342) in maximal mid-expiratory flow (MMEF); an increase of 0.732 Hz (95% CI: 0.313 to 1.148) in resonant frequency (Fres), an increase of 36 kpa/(ml/s) (95% CI: 14 to 57) in impedance at 5 Hz (Z5) and an increase of 31 kpa/(ml/s) (95% CI: 2 to 54) in respiratory impedance at 5 Hz (R5). Compared to patients in the central district, those in the southern district had lower FEV1/FVC, FEV1%pred, PEF, FEF75%, MMEF, X5, and higher Fres, Z5 and R5 (p < 0.05). CONCLUSION Short-term exposure to PM2.5 was associated with reductions in lung function indices and an increase in IOS results in patients with COPD. The heavier the PM2.5, the more severe of COPD.
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Affiliation(s)
- Rui-Xia Zhu
- Department of pulmonary and critical care medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiu-Hong Nie
- Department of pulmonary and critical care medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
| | - Xiao-Fang Liu
- Department of pulmonary and critical care medicine, Tong Ren Hospital, Capital Medical University, Beijing, China
| | - Yong-Xiang Zhang
- Department of pulmonary and critical care medicine, Daxing District People's Hospital, Beijing, China.
| | - Jin Chen
- Respiratory department, Fuxing Hospital, Capital Medical University, Beijing, China
| | - Xue-Jiao Liu
- Department of pulmonary and critical care medicine, Daxing District People's Hospital, Beijing, China
| | - Xin-Jie Hui
- Department of pulmonary and critical care medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
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Kim H, Huh JY, Na G, Park S, Ra SW, Kang SY, Kim HC, Kim HC, Lee SW. Lifestyle practices that reduce seasonal PM 2.5 exposure and their impact on COPD. Sci Rep 2023; 13:11822. [PMID: 37479736 PMCID: PMC10361977 DOI: 10.1038/s41598-023-38714-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 07/13/2023] [Indexed: 07/23/2023] Open
Abstract
Particulate matter (PM) is a major air pollutant that has led to global health concerns and can cause and exacerbate chronic obstructive pulmonary disease (COPD). We asked patients with COPD to complete a detailed questionnaire about their lifestyle practices to reduce PM2.5 exposure and analyzed the relationship between ambient PM2.5 concentrations and lifestyle practices. We prospectively enrolled 104 COPD patients from four hospitals in different areas of Korea. They completed detailed questionnaires twice (at enrollment and the end of the study) and Internet of Things-based sensors were installed in their homes to continuously measure PM2.5 for 1 year. The relationship between PM2.5 concentrations, lifestyle practices, and COPD exacerbations were analyzed in each season. The PM2.5 concentration was higher outdoors than indoors in all seasons except summer, and the difference was largest in winter. The six lifestyle practices that significantly lowered the annual indoor PM2.5 concentration compared with the outdoors. The higher the economic status and educational level of patients, the lower the indoor PM2.5 concentration. Some lifestyle practices were associated with reduced small airway resistance, presented as R5-R20 determined by impulse oscillometry, and scores of the St. George's Respiratory Questionnaire. Some lifestyle practices are associated with reduced indoor PM2.5 concentrations and can even affect clinical outcomes, including small airway resistance and quality of life of COPD patients.
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Affiliation(s)
- Hajeong Kim
- Department of Pulmonary and Critical Care Medicine, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Kangdong Sacred Heart Hospital, Seoul, Republic of Korea
| | - Jin-Young Huh
- Department of Pulmonary and Critical Care Medicine, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Republic of Korea
| | - Geunjoo Na
- Department of Occupational and Environmental Medicine, College of Medicine, Inha University, 27 Inhang-Ro, Jung-gu, Incheon, 22332, Republic of Korea
- Green Environment Industrial Institute, Seoul, Republic of Korea
| | - Shinhee Park
- Department of Pulmonary, Allergy and Critical Care Medicine, Gangneung Asan Hospital, Gangneung, Republic of Korea
- Division of Allergy and Respiratory Medicine, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, South Korea
| | - Seung Won Ra
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea
| | - Sung-Yoon Kang
- Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Republic of Korea
| | - Ho Cheol Kim
- Department of Pulmonary and Critical Care Medicine, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Hwan-Cheol Kim
- Department of Occupational and Environmental Medicine, College of Medicine, Inha University, 27 Inhang-Ro, Jung-gu, Incheon, 22332, Republic of Korea.
| | - Sei Won Lee
- Department of Pulmonary and Critical Care Medicine, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
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12
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Zhu R, Chen J. Long-term effects of air pollution on hospital admissions and mortality for chronic obstructive pulmonary disease in Beijing, China. THE CLINICAL RESPIRATORY JOURNAL 2023; 17:672-683. [PMID: 37392082 PMCID: PMC10363839 DOI: 10.1111/crj.13656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/11/2023] [Accepted: 06/13/2023] [Indexed: 07/02/2023]
Abstract
OBJECTIVE We aimed to clarify the association between air pollution and hospital admissions for chronic obstructive pulmonary disease (COPD) and mortality in Beijing, China. METHODS In this retrospective study, we recruited 510 COPD patients from 1 January 2006 to 31 December 2009. The patient data were obtained from the electronic medical records of Peking University Third Hospital in Beijing. Air pollution and meteorological data were obtained from the Institute of Atmospheric Physics of the Chinese Academy of Sciences. Monthly COPD hospital admissions, mortality and air pollution data were analysed using Poisson regression in generalised additive models adjusted for mean temperature, pressure and relative humidity. RESULTS There were positive correlations between sulfur dioxide (SO2 ), particulate matter with an aerodynamic diameter ≤ 10 μm (PM10 ) and COPD hospital admissions in the single-pollutant model. An increase of 10 μg/m3 in SO2 and PM10 were associated with an increase of 4.053% (95% CI: 1.470-5.179%) and 1.401% (95%CI: 0.6656-1.850%) in COPD hospital admissions. In the multiple-pollutant model [SO2 and nitrogen dioxide (NO2 ) combinations], there was only a positive correlation between SO2 and COPD hospital admissions. An increase of 10 μg/m3 in SO2 were associated with an increase of 1.916% (95% CI: 1.118-4.286%) in COPD hospital admissions. There was no correlation between three pollutant combinations and COPD hospital admissions. We did not find correlations between air pollution and COPD mortality in either single- or multiple-pollutant models. CONCLUSIONS SO2 and PM10 may be important factors for the increase in COPD hospital admissions in Beijing, China.
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Affiliation(s)
- Rui‐xia Zhu
- Respiratory Department, Fuxing HospitalCapital Medical UniversityBeijingChina
| | - Jin Chen
- Respiratory Department, Fuxing HospitalCapital Medical UniversityBeijingChina
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13
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Cowan KN, Wyatt LH, Luben TJ, Sacks JD, Ward-Caviness C, Rappazzo KM. Effect measure modification of the association between short-term exposures to PM 2.5 and hospitalizations by longs-term PM 2.5 exposure among a cohort of people with Chronic Obstructive Pulmonary Disease (COPD) in North Carolina, 2002-2015. Environ Health 2023; 22:49. [PMID: 37386433 PMCID: PMC10308617 DOI: 10.1186/s12940-023-00999-4] [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: 03/29/2023] [Accepted: 06/08/2023] [Indexed: 07/01/2023]
Abstract
BACKGROUND Approximately nine million adults in the United States are living with chronic obstructive pulmonary disease (COPD), and positive associations between short-term air pollution exposure and increased risk of COPD hospitalizations in older adults are consistently reported. We examined the association between short-term PM2.5 exposure and hospitalizations and assessed if there is modification by long-term exposure in a cohort of individuals with COPD. METHODS In a time-referent case-crossover design, we used a cohort of randomly selected individuals with electronic health records from the University of North Carolina Healthcare System, restricted to patients with a medical encounter coded with a COPD diagnosis from 2004-2016 (n = 520), and estimated ambient PM2.5 concentrations from an ensemble model. Odds ratios and 95% confidence intervals (OR (95%CI)) were estimated with conditional logistic regression for respiratory-related, cardiovascular (CVD), and all-cause hospitalizations. Exposures examined were 0-2 and 0-3 day lags of PM2.5 concentration, adjusting for daily census-tract temperature and humidity, and models were stratified by long-term (annual average) PM2.5 concentration at the median value. RESULTS We observed generally null or low-magnitude negative associations with short-term PM2.5 exposure and respiratory-related (OR per 5 µg/m3 increase in 3-day lag PM2.5: 0.971 (0.885, 1.066)), CVD (2-day lag: 0.976 (0.900, 1.058) and all-cause (3 day lag: 1.003 (0.927, 1.086)) hospitalizations. Associations between short-term PM2.5 exposure and hospitalizations were higher among patients residing in areas with higher levels of annual PM2.5 concentrations (OR per 5 µg/m3 in 3-day lag PM2.5 for all-cause hospitalizations: 1.066 (0.958, 1.185)) than those in areas with lower annual PM2.5 concentrations (OR per 5 µg/m3 in 3-day lag PM2.5 for all-cause hospitalizations: 0.914 (0.804, 1.039)). CONCLUISONS Differences in associations demonstrate that people in areas with higher annual PM2.5 exposure may be associated with higher risk of hospitalization during short-term increases in PM2.5 exposure.
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Affiliation(s)
- Kristen N Cowan
- Department of Epidemiology, GillingsSchool of Global Public Health, University of North Carolina, Chapel Hill, USA
- Oak Ridge Institute for Science and Education (ORISE) at US EPA, Oak Ridge, USA
| | - Lauren H Wyatt
- U.S. Environmental Protection Agency, Office of Research and Development, 109 T.W. Alexander Dr, MD 58C, Research Triangle Park, Durham, NC, 27711, USA
| | - Thomas J Luben
- U.S. Environmental Protection Agency, Office of Research and Development, 109 T.W. Alexander Dr, MD 58C, Research Triangle Park, Durham, NC, 27711, USA
| | - Jason D Sacks
- U.S. Environmental Protection Agency, Office of Research and Development, 109 T.W. Alexander Dr, MD 58C, Research Triangle Park, Durham, NC, 27711, USA
| | - Cavin Ward-Caviness
- U.S. Environmental Protection Agency, Office of Research and Development, 109 T.W. Alexander Dr, MD 58C, Research Triangle Park, Durham, NC, 27711, USA
| | - Kristen M Rappazzo
- U.S. Environmental Protection Agency, Office of Research and Development, 109 T.W. Alexander Dr, MD 58C, Research Triangle Park, Durham, NC, 27711, USA.
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14
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Badaloni C, De Sario M, Caranci N, De' Donato F, Bolignano A, Davoli M, Leccese L, Michelozzi P, Leone M. A spatial indicator of environmental and climatic vulnerability in Rome. ENVIRONMENT INTERNATIONAL 2023; 176:107970. [PMID: 37224679 DOI: 10.1016/j.envint.2023.107970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/14/2023] [Accepted: 05/08/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND Urban areas are disproportionately affected by multiple pressures from overbuilding, traffic, air pollution, and heat waves that often interact and are interconnected in producing health effects. A new synthetic tool to summarize environmental and climatic vulnerability has been introduced for the city of Rome, Italy, to provide the basis for environmental and health policies. METHODS From a literature overview and based on the availability of data, several macro-dimensions were identified on 1,461 grid cells with a width of 1 km2 in Rome: land use, roads and traffic-related exposure, green space data, soil sealing, air pollution (PM2.5, PM10, NO2, C6H6, SO2), urban heat island intensity. The Geographically Weighted Principal Component Analysis (GWPCA) method was performed to produce a composite spatial indicator to describe and interpret each spatial feature by integrating all environmental dimensions. The method of natural breaks was used to define the risk classes. A bivariate map of environmental and social vulnerability was described. RESULTS The first three components explained most of the variation in the data structure with an average of 78.2% of the total percentage of variance (PTV) explained by the GWPCA, with air pollution and soil sealing contributing most in the first component; green space in the second component; road and traffic density and SO2 in the third component. 56% of the population lives in areas with high or very high levels of environmental and climatic vulnerability, showing a periphery-centre trend, inverse to the deprivation index. CONCLUSIONS A new environmental and climatic vulnerability indicator for the city of Rome was able to identify the areas and population at risk in the city, and can be integrated with other vulnerability dimensions, such as social deprivation, providing the basis for risk stratification of the population and for the design of policies to address environmental, climatic and social injustice.
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Affiliation(s)
- Chiara Badaloni
- Department of Epidemiology of the Lazio Regional Health Service, ASL Roma 1, Rome, Italy.
| | - Manuela De Sario
- Department of Epidemiology of the Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Nicola Caranci
- Regional Health and Social Care Agency, Emilia-Romagna Region, Bologna, Italy
| | - Francesca De' Donato
- Department of Epidemiology of the Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | | | - Marina Davoli
- Department of Epidemiology of the Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Letizia Leccese
- Department of Epidemiology of the Lazio Regional Health Service, ASL Roma 1, Rome, Italy
| | - Paola Michelozzi
- Department of Epidemiology of the Lazio Regional Health Service, ASL Roma 1, Rome, Italy
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15
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Lee HL, Kim JM, Go MJ, Kim TY, Joo SG, Kim JH, Lee HS, Kim HJ, Heo HJ. Protective Effect of Lonicera japonica on PM 2.5-Induced Pulmonary Damage in BALB/c Mice via the TGF-β and NF-κB Pathway. Antioxidants (Basel) 2023; 12:antiox12040968. [PMID: 37107342 PMCID: PMC10135714 DOI: 10.3390/antiox12040968] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 04/29/2023] Open
Abstract
This study aimed to assess the protective effect of an extract of Lonicera japonica against particulate-matter (PM)2.5-induced pulmonary inflammation and fibrosis. The compounds with physiological activity were identified as shanzhiside, secologanoside, loganic acid, chlorogenic acid, secologanic acid, secoxyloganin, quercetin pentoside, and dicaffeoyl quinic acids (DCQA), including 3,4-DCQA, 3,5-DCQA, 4,5-DCQA, and 1,4-DCQA using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MSE). The extract of Lonicera japonica reduced cell death, reactive oxygen species (ROS) production, and inflammation in A549 cells. The extract of Lonicera japonica decreased serum T cells, including CD4+ T cells, CD8+ T cells, and total T helper 2 (Th2) cells, and immunoglobulins, including immunoglobulin G (IgG) and immunoglobulin E (IgE), in PM2.5-induced BALB/c mice. The extract of Lonicera japonica protected the pulmonary antioxidant system by regulating superoxide dismutase (SOD) activity, reduced glutathione (GSH) contents, and malondialdehyde (MDA) levels. In addition, it ameliorated mitochondrial function by regulating the production of ROS, mitochondrial membrane potential (MMP), and ATP contents. Moreover, the extract of Lonicera japonica exhibited a protective activity of apoptosis, fibrosis, and matrix metalloproteinases (MMPs) via TGF-β and NF-κB signaling pathways in lung tissues. This study suggests that the extract of Lonicera japonica might be a potential material to improve PM2.5-induced pulmonary inflammation, apoptosis, and fibrosis.
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Affiliation(s)
- Hyo Lim Lee
- Division of Applied Life Science (BK21), Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Jong Min Kim
- Division of Applied Life Science (BK21), Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Min Ji Go
- Division of Applied Life Science (BK21), Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Tae Yoon Kim
- Division of Applied Life Science (BK21), Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Seung Gyum Joo
- Division of Applied Life Science (BK21), Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Ju Hui Kim
- Division of Applied Life Science (BK21), Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Han Su Lee
- Division of Applied Life Science (BK21), Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Hyun-Jin Kim
- Division of Applied Life Science (BK21), Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Ho Jin Heo
- Division of Applied Life Science (BK21), Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Republic of Korea
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16
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Bailie CR, Ghosh JKC, Kirk MD, Sullivan SG. Effect of ambient PM 2.5 on healthcare utilisation for acute respiratory illness, Melbourne, Victoria, Australia, 2014-2019. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (1995) 2023; 73:120-132. [PMID: 36376253 DOI: 10.1080/10962247.2022.2146810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Revised: 10/29/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Ambient particulate matter (PM2.5) is an important component of natural and human-generated air pollution and a major contributor to the global burden of disease. Short-term effects of PM2.5 exposure on respiratory illness have been described but most evidence arises from high pollution settings. We used case-crossover methods to estimate effects of outdoor PM2.5 levels on emergency department (ED) presentations and hospital admissions for a range of acute respiratory illnesses and age groups in Melbourne, Australia from 2014-2019, with and without adjustment for other pollutants and weather conditions, using daily and one-week averaged lags. We estimated incidence rate ratios for a 10 μg/m3 increase in 7-day average ambient PM2.5 of 1.043 (95% confidence interval (CI): 1.000-1.089) on ED presentation and 1.013 (95% CI: 0.971-1.056) on hospital admissions for acute respiratory illnesses for patients of any age. We observed distinct temporal patterns in daily lag effect by disease. The largest effects on acute lower respiratory tract infection and asthma were observed in children. Ambient PM2.5 levels rarely exceeded standards in place at the time. Although uncertainty around most point estimates was relatively wide, these findings are most compatible with adverse health effects of ambient PM2.5 at levels below currently established Australian national standards.Implications: Understanding the health impacts of air pollution is important for setting air quality targets, as well as for informing robust health system planning. Adverse effects of exposure to outdoor fine particulate matter on human respiratory health have been consistently described. However, most studies have been done in higher-pollution settings. Further, many studies have assessed health effects in broad categories such as all-cause respiratory mortality or hospitalization, and thus lack the granularity to inform detailed health service planning. Our study aimed to estimate effects of outdoor fine particulate matter on emergency department (ED) presentations and hospital admissions for a range of acute respiratory illnesses and age groups in Melbourne, Australia, a city with relatively good air quality by international comparison. Our study estimated consistent effects on both ED presentations and hospital admissions compatible with distinct patterns of adverse health effects at levels at or below established Australian national (and many international) standards. These results will help to inform both air quality policy and public health policy in similar settings.
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Affiliation(s)
- Christopher R Bailie
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- National Centre for Epidemiology and Public Health, Australian National University, Canberra, Australia
| | - Jo Kay C Ghosh
- Heluna Health, City of Industry, Los Angeles County, CA, USA
| | - Martyn D Kirk
- National Centre for Epidemiology and Public Health, Australian National University, Canberra, Australia
| | - Sheena G Sullivan
- WHO Collaborating Centre for Reference and Research on Influenza, Royal Melbourne Hospital, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
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Aranburu-Imatz A, Jiménez-Hornero JE, Morales-Cané I, López-Soto PJ. Environmental pollution in North-Eastern Italy and its influence on chronic obstructive pulmonary disease: time series modelling and analysis using visibility graphs. AIR QUALITY, ATMOSPHERE, & HEALTH 2023; 16:793-804. [PMID: 36714016 PMCID: PMC9875196 DOI: 10.1007/s11869-023-01310-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 01/16/2023] [Indexed: 06/01/2023]
Abstract
The impact on human health from environmental pollution is receiving increasing attention. In the case of respiratory diseases such as chronic obstructive pulmonary disease (COPD), the relationship is now well documented. However, few studies have been carried out in areas with low population density and low industrial production, such as the province of Belluno (North-Eastern Italy). The aim of the study was to analyze the effect of exposure to certain pollutants on the temporal dynamics of hospital admissions for COPD in the province of Belluno. Daily air pollution concentration, humidity, precipitations, and temperature were collected from the air monitoring stations in Belluno. Generalized additive mixed models (GAMM) and visibility graphs were used to determine the effects of the short-term exposure to environmental agents on hospital admissions associated to COPD. In the case of the city of Belluno, the GAMM showed that hospital admissions were associated with NO2, PM10, date, and temperature, while for the city of Feltre, GAMM produced no associated variables. Several visibility graph indices (average edge overlap and interlayer mutual information) showed a significant overlap between environmental agents and hospital admission for both cities. Our study has shown that visibility graphs can be useful in establishing associations between environmental agents and COPD hospitalization in sparsely populated areas.
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Affiliation(s)
- Alejandra Aranburu-Imatz
- Department of Nursing, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menéndez Pidal S/N., 14004 Córdoba, Spain
- Department of Nursing, Pharmacology and Physiotherapy, University of Cordoba, Córdoba, Spain
- Outpatient Clinic, Hospital Giovanni Paolo II, ULSS1 Dolomiti, Veneto, Italy
| | | | - Ignacio Morales-Cané
- Department of Nursing, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menéndez Pidal S/N., 14004 Córdoba, Spain
- Department of Nursing, Pharmacology and Physiotherapy, University of Cordoba, Córdoba, Spain
- Department of Nursing, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain
| | - Pablo Jesús López-Soto
- Department of Nursing, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Av. Menéndez Pidal S/N., 14004 Córdoba, Spain
- Department of Nursing, Pharmacology and Physiotherapy, University of Cordoba, Córdoba, Spain
- Department of Nursing, Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain
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18
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Ju X, Yimaer W, Du Z, Wang X, Cai H, Chen S, Zhang Y, Wu G, Wu W, Lin X, Wang Y, Jiang J, Hu W, Zhang W, Hao Y. The impact of monthly air pollution exposure and its interaction with individual factors: Insight from a large cohort study of comprehensive hospitalizations in Guangzhou area. Front Public Health 2023; 11:1137196. [PMID: 37026147 PMCID: PMC10071997 DOI: 10.3389/fpubh.2023.1137196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 03/01/2023] [Indexed: 04/08/2023] Open
Abstract
Background Although the association between short-term air pollution exposure and certain hospitalizations has been well documented, evidence on the effect of longer-term (e. g., monthly) air pollution on a comprehensive set of outcomes is still limited. Method A total of 68,416 people in South China were enrolled and followed up during 2019-2020. Monthly air pollution level was estimated using a validated ordinary Kriging method and assigned to individuals. Time-dependent Cox models were developed to estimate the relationship between monthly PM10 and O3 exposures and the all-cause and cause-specific hospitalizations after adjusting for confounders. The interaction between air pollution and individual factors was also investigated. Results Overall, each 10 μg/m3 increase in PM10 concentration was associated with a 3.1% (95%CI: 1.3%-4.9%) increment in the risk of all-cause hospitalization. The estimate was even greater following O3 exposure (6.8%, 5.5%-8.2%). Furthermore, each 10 μg/m3 increase in PM10 was associated with a 2.3%-9.1% elevation in all the cause-specific hospitalizations except for those related to respiratory and digestive diseases. The same increment in O3 was relevant to a 4.7%-22.8% elevation in the risk except for respiratory diseases. Additionally, the older individuals tended to be more vulnerable to PM10 exposure (P interaction: 0.002), while the alcohol abused and those with an abnormal BMI were more vulnerable to the impact of O3 (P interaction: 0.052 and 0.011). However, the heavy smokers were less vulnerable to O3 exposure (P interaction: 0.032). Conclusion We provide comprehensive evidence on the hospitalization hazard of monthly PM10 and O3 exposure and their interaction with individual factors.
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Affiliation(s)
- Xu Ju
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Wumitijiang Yimaer
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Zhicheng Du
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Xinran Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Huanle Cai
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Shirui Chen
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Yuqin Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Gonghua Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Wenjing Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Xiao Lin
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Ying Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
| | - Jie Jiang
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking, China
| | - Weihua Hu
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking, China
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Wangjian Zhang
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking, China
- Yuantao Hao
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Luo H, Zhang Q, Niu Y, Kan H, Chen R. Fine particulate matter and cardiorespiratory health in China: A systematic review and meta-analysis of epidemiological studies. J Environ Sci (China) 2023; 123:306-316. [PMID: 36521994 DOI: 10.1016/j.jes.2022.04.026] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 04/21/2022] [Accepted: 04/22/2022] [Indexed: 06/17/2023]
Abstract
This review aimed to systematically summarize the epidemiological literature on the cardiorespiratory effects of PM2.5 published during the 13th Five-Year Plan period (2016-2020) in China. Original articles published between January 1, 2016 and June 30, 2021 were searched in PubMed, Web of Science, the China National Knowledge Internet Database and Wanfang Database. Random- or fixed-effects models were used to pool effect estimates where appropriate. Of 8558 records identified, 145 met the full eligibility criteria. A 10 µg/m³ increase in short-term PM2.5 exposure was significantly associated with increases of 0.70%, 0.86%, 0.38% and 0.96% in cardiovascular mortality, respiratory mortality, cardiovascular morbidity, and respiratory morbidity, respectively. The specific diseases with significant associations included stroke, ischemic heart disease, heart failure, arrhythmia, chronic obstructive pulmonary disease, pneumonia and allergic rhinitis. The pooled estimates per 10 µg/m³ increase in long-term PM2.5 exposure were 15.1%, 11.9% and 21.0% increases in cardiovascular, stroke and lung cancer mortality, and 17.4%, 11.0% and 4.88% increases in cardiovascular, hypertension and lung cancer incidence respectively. Adverse changes in blood pressure, heart rate variability, systemic inflammation, blood lipids, lung function and airway inflammation were observed for either short-term or long-term PM2.5 exposure, or both. Collectively, we summarized representative exposure-response relationships between short- and long-term PM2.5 exposure and a wide range of cardiorespiratory outcomes applicable to China. The magnitudes of estimates were generally smaller in short-term associations and comparable in long-term associations compared with those in developed countries. Our findings are helpful for future standard revisions and policy formulation. There are still some notable gaps that merit further investigation in China.
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Affiliation(s)
- Huihuan Luo
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Qingli Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Yue Niu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
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20
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Keswani A, Akselrod H, Anenberg SC. Health and Clinical Impacts of Air Pollution and Linkages with Climate Change. NEJM EVIDENCE 2022; 1:EVIDra2200068. [PMID: 38319260 DOI: 10.1056/evidra2200068] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
Air Pollution Impacts and Climate Change LinksAs part of the NEJM Group series on climate change, Keswani and colleagues review the linkages between climate change and air pollution and suggest strategies that clinicians may use to mitigate the adverse health impacts of air pollution.
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Affiliation(s)
- Anjeni Keswani
- Division of Allergy/Immunology, George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Hana Akselrod
- Division of Infectious Diseases, George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Susan C Anenberg
- George Washington University Milken Institute School of Public Health, Washington, DC
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Hua Y, Yuan X, Wang J, Zeng K, Zhi S, Liu L. Association between air pollution and hospital admissions for chronic respiratory disease in people aged over 65 years: a time series analysis in Ningbo, China, 2015-2017. Int Arch Occup Environ Health 2022; 95:1293-1304. [PMID: 35661917 DOI: 10.1007/s00420-022-01887-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 05/16/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE To provide essential information of environmental triggers leading to CRD. METHODS We investigated the short-term effects of ambient air pollutants on CRD-related hospitalizations in people aged ≥ 65 years in Ningbo. Data on 23,610 cases of CRD requiring hospitalization were collected from January 2015 to August 2017. After adjusting for temporal trends, seasonality, meteorological conditions, day of week (DOW), and public holidays, we used generalized additive Poisson distribution models to calculate the excess risks (ERs) and 95% confidence intervals (95% CIs) of CRD related hospitalizations. RESULTS Our results showed that fine particulate matter (PM2.5), inhalable particulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO) were associated with CRD-related hospitalizations in people aged ≥ 65 years. We observed that each 10 μg/m3 increase (except for each 0.1 mg/m3 increase in CO) in the concentration of air pollutants, the percentage of CRD-related hospitalizations due to PM2.5, PM10, and SO2 exposure at lag 07, NO2 exposure at lag 03, and CO exposure at lag 0 increased by 2.13% (95% CI: 0.55%, 3.74%), 1.76% (95% CI: 0.70%, 2.83%), 8.24% (95% CI: 0.92%, 16.09%), 2.16% (95% CI: 0.26%, 4.05%), and 1.19% (95% CI: 0.26%, 2.12%), respectively. In addition, we found stronger effects of particulate matter in 75-84 years age group, on warmer days, and in asthmatics. CONCLUSION In conclusion, air pollution may have adverse effects on CRD-related hospitalizations among people aged ≥ 65 years in Ningbo. Therefore, public health measures should be taken to improve air quality.
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Affiliation(s)
- Yuzhe Hua
- School of Medicine, Ningbo University, Ningbo, China
| | - Xiaoqi Yuan
- Ningbo Women and Children Hospital, Ningbo, China
| | - Jichao Wang
- The Affiliated Hospital of Medical School, Ningbo, China
| | - Ke Zeng
- The Affiliated Hospital of Medical School, Ningbo, China
| | - Shuai Zhi
- School of Medicine, Ningbo University, Ningbo, China
| | - Liya Liu
- School of Medicine, Ningbo University, Ningbo, China.
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22
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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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Yu H, Lin Y, Zhong Y, Guo X, Lin Y, Yang S, Liu J, Xie X, Sun Y, Wang D, Li B, Ran P, Dai J. Impaired AT2 to AT1 cell transition in PM2.5-induced mouse model of chronic obstructive pulmonary disease. Respir Res 2022; 23:70. [PMID: 35337337 PMCID: PMC8957194 DOI: 10.1186/s12931-022-01996-w] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 03/16/2022] [Indexed: 12/12/2022] Open
Abstract
Background Particular matter 2.5 (PM2.5) is one of the most important air pollutant, and it is positively associated with the development of chronic obstructive pulmonary disease (COPD). However, the precise underlying mechanisms through which PM2.5 promotes the development of COPD remains largely unknown.
Methods Mouse alveolar destruction were determined by histological analysis of lung tissues and lung function test. Alveolar type II cells (AT2) to alveolar type I cells (AT1) transition in PM2.5-induced COPD mouse model was confirmed via immunofluorescence staining and qPCR analysis. The differentially expressed genes in PM2.5-induced COPD mouse model were identified by RNA-sequencing of alveolar epithelial organoids and generated by bioinformatics analysis. Results In this study, we found that 6 months exposure of PM2.5 induced a significantly decreased pulmonary compliance and resulted in pulmonary emphysema in mice. We showed that PM2.5 exposure significantly reduced the AT2 to AT1 cell transition in vitro and in vivo. In addition, we found a reduced expression of the intermediate AT2-AT1 cell process marker claudin 4 (CLDN4) at day 4 of differentiation in mouse alveolar organoids treated with PM2.5, suggesting that PM2.5 exposure inhibited AT2 cells from entering the transdifferentiation process. RNA-sequencing of mouse alveolar organoids showed that several key signaling pathways that involved in the AT2 to AT1 cell transition were significantly altered including the Wnt signaling, MAPK signaling and signaling pathways regulating pluripotency of stem cells following PM2.5 exposure. Conclusions In summary, these data demonstrate a critical role of AT2 to AT1 cell transition in PM2.5-induced COPD mouse model and reveal the signaling pathways that potentially regulate AT2 to AT1 cell transition during this process. Our findings therefore advance the current knowledge of PM2.5-induced COPD and may lead to a novel therapeutic strategy to treat this disease. Supplementary Information The online version contains supplementary material available at 10.1186/s12931-022-01996-w.
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Affiliation(s)
- Hongjiao Yu
- Guangzhou Medical University-Guangzhou Institute of Biomedicine and Health (GMU-GIBH) Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 510000, People's Republic of China
| | - Yingnan Lin
- Guangzhou Medical University-Guangzhou Institute of Biomedicine and Health (GMU-GIBH) Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 510000, People's Republic of China
| | - Yue Zhong
- Guangzhou Medical University-Guangzhou Institute of Biomedicine and Health (GMU-GIBH) Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 510000, People's Republic of China
| | - Xiaolan Guo
- Guangzhou Medical University-Guangzhou Institute of Biomedicine and Health (GMU-GIBH) Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 510000, People's Republic of China
| | - Yuyin Lin
- Guangzhou Medical University-Guangzhou Institute of Biomedicine and Health (GMU-GIBH) Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 510000, People's Republic of China
| | - Siqi Yang
- Guangzhou Medical University-Guangzhou Institute of Biomedicine and Health (GMU-GIBH) Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 510000, People's Republic of China
| | - Jinglin Liu
- Guangzhou Medical University-Guangzhou Institute of Biomedicine and Health (GMU-GIBH) Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 510000, People's Republic of China
| | - Xinran Xie
- Guangzhou Medical University-Guangzhou Institute of Biomedicine and Health (GMU-GIBH) Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 510000, People's Republic of China
| | - Yaowei Sun
- Guangzhou Medical University-Guangzhou Institute of Biomedicine and Health (GMU-GIBH) Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 510000, People's Republic of China
| | - Dong Wang
- State Key Lab of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China
| | - Bing Li
- Guangzhou Medical University-Guangzhou Institute of Biomedicine and Health (GMU-GIBH) Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 510000, People's Republic of China
| | - Pixin Ran
- State Key Lab of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China.
| | - Jianwei Dai
- Guangzhou Medical University-Guangzhou Institute of Biomedicine and Health (GMU-GIBH) Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, 510000, People's Republic of China. .,State Key Lab of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China. .,The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Guangzhou Medical University, Qingyuan, 511500, People's Republic of China.
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Yang X, Zhang T, Zhang Y, Chen H, Sang S. Global burden of COPD attributable to ambient PM2.5 in 204 countries and territories, 1990 to 2019: A systematic analysis for the Global Burden of Disease Study 2019. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 796:148819. [PMID: 34265615 DOI: 10.1016/j.scitotenv.2021.148819] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 06/29/2021] [Accepted: 06/29/2021] [Indexed: 06/13/2023]
Abstract
The global spatiotemporal pattern of the COPD burden attributable to ambient PM2.5 is unknown in the context of the continuing increase in exposure to ambient PM2.5. Data on COPD burden attributable to ambient PM2.5 from 1990 to 2019 were retrieved from the Global Burden of Disease Study 2019. Cases and age-standardized rates of COPD mortality (ASMR) and disability-adjusted life years (ASDR) were estimated by age, sex, region, and country. The estimated annual percentage change (EAPC) was calculated to quantify the secular trends of ASMR and ASDR from 1990 to 2019. Globally, the number of COPD deaths and DALYs attributable to ambient PM2.5 both increased by over 90% from 1990 to 2019, but ASMR and ASDR both slightly decreased, with EAPC of -0.58 (95% CI: -0.72, -0.44) and -0.40 (95% CI: -0.51, -0.29), respectively. Most COPD deaths and DALYs attributable to PM2.5 occurred in the middle sociodemographic index (SDI) region, but the fastest growth of ASMR and ASDR occurred in the low SDI region, with EAPCs of 2.41 (95% CI: 2.23, 2.59) and 2.34 (95% CI: 2.16, 2.52), respectively. East Asia and South Asia were the high-risk areas of COPD deaths and DALYs attributable to PM2.5, among which China and India were the countries with the heaviest burden. COPD deaths and DALYs attributable to PM2.5 mainly occurred in individuals 70-89 years old and 60-84 years old, respectively. The age-specific rates of mortality and DALYs had a rapid increase in low and low-middle SDI regions from 1990 to 2019. The ASMR or ASDR had a reverse V-shaped relationship with SDI. In summary, the ambient PM2.5-attributable COPD burden is socioeconomic- and age-dependent, and it mediates the heterogeneity of spatial and temporal distribution. Low- and middle-income countries endure the highest ambient PM2.5-attributable COPD burden due to the high exposure to PM2.5 and poor availability and affordability of medicines and diagnostic tests.
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Affiliation(s)
- Xiaorong Yang
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China; Clinical Research Center of Shandong University, Jinan, Shandong, People's Republic of China
| | - Tongchao Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China
| | - Yuan Zhang
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China; Clinical Research Center of Shandong University, Jinan, Shandong, People's Republic of China
| | - Hao Chen
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China; Clinical Research Center of Shandong University, Jinan, Shandong, People's Republic of China
| | - Shaowei Sang
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China; Clinical Research Center of Shandong University, Jinan, Shandong, People's Republic of China; Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
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25
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Wei H, Yuan W, Yu H, Geng H. Cytotoxicity induced by fine particulate matter (PM 2.5) via mitochondria-mediated apoptosis pathway in rat alveolar macrophages. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:25819-25829. [PMID: 33474668 PMCID: PMC7817249 DOI: 10.1007/s11356-021-12431-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 01/07/2021] [Indexed: 05/22/2023]
Abstract
Although positive associations exist between ambient particulate matter (PM2.5; diameter ≤ 2.5 μm) and the morbidity and mortality rates for respiratory diseases, the biological mechanisms of the reported health effects are unclear. Considering that alveolar macrophages (AM) are the main cells responsible for phagocytic clearance of xenobiotic particles that reach the airspaces of the lungs, the purpose of this study was to investigate whether PM2.5 induced AM apoptosis, and investigate its possible mechanisms. Freshly isolated AM from Wistar rats were treated with extracted PM2.5 at concentrations of 33, 100, or 300 μg/mL for 4 h; thereafter, the cytotoxic effects were evaluated. The results demonstrated that PM2.5 induced cytotoxicity by decreasing cell viability and increasing lactate dehydrogenase (LDH) levels in AMs. The levels of reactive oxygen species (ROS) and intracellular calcium cations (Ca2+) markedly increased in higher PM2.5 concentration groups. Additionally, the apoptotic ratio increased, and the apoptosis-related proteins BCL2-associated X (Bax), caspase-3, and caspase-9 were upregulated, whereas B cell lymphoma-2 (Bcl-2) protein levels were downregulated following PM2.5 exposure. Cumulative findings showed that PM2.5 induced apoptosis in AMs through a mitochondrial-mediated pathway, which indicated that PM2.5 plays a significant role in lung injury diseases.
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Affiliation(s)
- Haiying Wei
- College of Environmental and Resource Sciences, Shanxi University, No. 92 Wucheng Road, Taiyuan, 030006, Shanxi, China.
| | - Wanjun Yuan
- College of Environmental and Resource Sciences, Shanxi University, No. 92 Wucheng Road, Taiyuan, 030006, Shanxi, China
| | - Huan Yu
- College of Environmental and Resource Sciences, Shanxi University, No. 92 Wucheng Road, Taiyuan, 030006, Shanxi, China
| | - Hong Geng
- College of Environmental and Resource Sciences, Shanxi University, No. 92 Wucheng Road, Taiyuan, 030006, Shanxi, China
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Yee J, Cho YA, Yoo HJ, Yun H, Gwak HS. Short-term exposure to air pollution and hospital admission for pneumonia: a systematic review and meta-analysis. Environ Health 2021; 20:6. [PMID: 33413431 PMCID: PMC7792212 DOI: 10.1186/s12940-020-00687-7] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 12/14/2020] [Indexed: 05/30/2023]
Abstract
BACKGROUND Air pollution is a major issue that poses a health threat worldwide. Although several studies investigated the adverse effects of air pollution on various diseases, few have directly demonstrated the effects on pneumonia. Therefore, we performed a systematic review and meta-analysis on the associations between short-term exposure of air pollutants and hospital admission or emergency room (ER) visit for pneumonia. METHODS A literature search was performed using PubMed, Embase, and Web of Science up to April 10, 2020. Pooled estimates were calculated as % increase with 95% confidence intervals using a random-effects model. A sensitivity analysis using the leave-one-out method and subgroup analysis by region were performed. RESULTS A total of 21 studies were included in the analysis. Every 10 μg/m3 increment in PM2.5 and PM10 resulted in a 1.0% (95% CI: 0.5-1.5) and 0.4% (95% CI: 0.2-0.6) increase in hospital admission or ER visit for pneumonia, respectively. Every 1 ppm increase of CO and 10 ppb increase of NO2, SO2, and O3 was associated with 4.2% (95% CI: 0.6-7.9), 3.2% (95% CI: 1.3-5.1), 2.4% (95% CI: - 2.0-7.1), and 0.4% (95% CI: 0-0.8) increase in pneumonia-specific hospital admission or ER visit, respectively. Except for CO, the sensitivity analyses yielded similar results, demonstrating the robustness of the results. In a subgroup analysis by region, PM2.5 increased hospital admission or ER visit for pneumonia in East Asia but not in North America. CONCLUSION By combining the inconsistent findings of several studies, this study revealed the associations between short-term exposure of air pollutants and pneumonia-specific hospital admission or ER visit, especially for PM and NO2. Based on the results, stricter intervention policies regarding air pollution and programs for protecting human respiratory health should be implemented.
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Affiliation(s)
- Jeong Yee
- College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea
| | - Young Ah Cho
- College of Pharmacy, Gyeongsang National University, Jinju, Gyeongnam, 52828, Republic of Korea
- Mokhwa Convalescent Hospital, Jinju, Gyeongnam, 52828, Republic of Korea
| | - Hee Jeong Yoo
- College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea
- Department of Pharmacy, National Medical Center, Seoul, 04564, Republic of Korea
| | - Hyunseo Yun
- Graduate School of Clinical Biohealth, Ewha Womans University, Seoul, 03760, Republic of Korea
| | - Hye Sun Gwak
- College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea.
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