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Liang W, Li R, Chen G, Ma H, Han A, Hu Q, Xie N, Wei J, Shen H, Wang X, Xiang H. Long-term exposure to ambient particulate matter is associated with prognosis in people living with HIV/AIDS: Evidence from a longitudinal study. Sci Total Environ 2024; 928:172453. [PMID: 38641108 DOI: 10.1016/j.scitotenv.2024.172453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/24/2024] [Accepted: 04/11/2024] [Indexed: 04/21/2024]
Abstract
BACKGROUND Evidence on the association between particulate matter (PM) exposure and prognosis in people living with HIV/AIDS (PWHA) is scarce. We aim to investigate the associations of long-term exposure to PM with AIDS-related deaths and complications. METHODS We collected follow-up information on 7444 PWHAs from 2000 to 2021 from the HIV/AIDS Comprehensive Response Information Management System of the Wuhan Center for Disease Control and Prevention. The AIDS-related deaths and complications were assessed by physicians every 3 to 6 months, and the monthly average PM concentrations for each PWHA were extracted from the China High Air Pollutants dataset. We employed time-varying Cox regression models to evaluate the associations of the average cumulative PM exposure concentrations with AIDS-related deaths and complications, as well as the mediating effects of AIDS-related complications in PM-induced AIDS-related deaths. RESULTS For each 1 μg/m3 increase in PM1, PM2.5, and PM10, the adjusted hazard ratios (HRs) for AIDS-related deaths were 1.021 (1.009, 1.033), 1.012 (1.005, 1.020), and 1.010 (1.005, 1.015), respectively; and the HRs for AIDS-related complications were 1.049 (1.034, 1.064), 1.029 (1.020, 1.038), and 1.031 (1.024, 1.037), respectively. AIDS-related complications mediated 18.38 % and 18.68 % of the association of exposure to PM1 and PM2.5 with AIDS-related deaths, respectively. The association of PM exposure with AIDS-related deaths was more significant in older PWHA. Meanwhile, the association between PM exposure and AIDS-related complications was stronger in PWHA with a BMI ≥ 24 kg/m2. CONCLUSION Long-term exposure to PM is positively associated with AIDS-related deaths and complications, and AIDS-related complications have mediating effects in PM-induced AIDS-related deaths. Our evidence emphasizes that enhanced protection against PM exposure for PWHAs is an additional mitigation strategy to reduce AIDS-related deaths and complications.
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Affiliation(s)
- Wei Liang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Ruihan Li
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Hongfei Ma
- Wuhan Center for Disease Control and Prevention, 288# Machang Road, Wuhan 430024, China
| | - Aojing Han
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Qilin Hu
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Nianhua Xie
- Wuhan Center for Disease Control and Prevention, 288# Machang Road, Wuhan 430024, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20742, United States
| | - Huanfeng Shen
- School of Resource and Environmental Science, Wuhan University, 115# Donghu Road, Wuhan 430071, China
| | - Xia Wang
- Wuhan Center for Disease Control and Prevention, 288# Machang Road, Wuhan 430024, China.
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China; Global Health Institute, School of Public Health, Wuhan University, 115# Donghu Road, Wuhan 430071, China.
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Qi Q, Yu F, Nair AA, Lau SSS, Luo G, Mithu I, Zhang W, Li S, Lin S. Hidden danger: The long-term effect of ultrafine particles on mortality and its sociodemographic disparities in New York State. J Hazard Mater 2024; 471:134317. [PMID: 38636229 DOI: 10.1016/j.jhazmat.2024.134317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 04/09/2024] [Accepted: 04/14/2024] [Indexed: 04/20/2024]
Abstract
Although previous studies have shown increased health risks of particulate matters, few have evaluated the long-term health impacts of ultrafine particles (UFPs or PM0.1, ≤ 0.1 µm in diameter). This study assessed the association between long-term exposure to UFPs and mortality in New York State (NYS), including total non-accidental and cause-specific mortalities, sociodemographic disparities and seasonal trends. Collecting data from a comprehensive chemical transport model and NYS Vital Records, we used the interquartile range (IQR) and high-level UFPs (≥75 % percentile) as indicators to link with mortalities. Our modified difference-in-difference model controlled for other pollutants, meteorological factors, spatial and temporal confounders. The findings indicate that long-term UFPs exposure significantly increases the risk of non-accidental mortality (RR=1.10, 95 % CI: 1.05, 1.17), cardiovascular mortality (RR=1.11, 95 % CI: 1.05, 1.18) particularly for cerebrovascular (RR=1.21, 95 % CI: 1.10, 1.35) and pulmonary heart diseases (RR=1.33, 95 % CI: 1.13, 1.57), and respiratory mortality (borderline significance, RR=1.09, 95 % CI: 1.00, 1.18). Hispanics (RR=1.13, 95 % CI: 1.00, 1.29) and non-Hispanic Blacks (RR=1.40, 95 % CI: 1.16, 1.68) experienced significantly higher mortality risk after exposure to UFPs, compared to non-Hispanic Whites. Children under five, older adults, non-NYC residents, and winter seasons are more susceptible to UFPs' effects.
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Affiliation(s)
- Quan Qi
- Department of Economics, University at Albany, State University of New York, Albany, NY, USA
| | - Fangqun Yu
- Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY, USA
| | - Arshad A Nair
- Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY, USA
| | - Sam S S Lau
- Research Centre for Environment and Human Health & College of International Education, School of Continuing Education, Hong Kong Baptist University, Hong Kong, China; Institute of Bioresource and Agriculture, Hong Kong Baptist University, Hong Kong, China
| | - Gan Luo
- Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany, NY, USA
| | - Imran Mithu
- Community, Environment and Policy Division, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Sean Li
- Rausser College of Natural Resources, University of California, Berkeley, CA, USA
| | - Shao Lin
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, Rensselaer, NY, USA; Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, NY, USA.
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Wong PY, Su HJ, Candice Lung SC, Liu WY, Tseng HT, Adamkiewicz G, Wu CD. Explainable geospatial-artificial intelligence models for the estimation of PM 2.5 concentration variation during commuting rush hours in Taiwan. Environ Pollut 2024; 349:123974. [PMID: 38615837 DOI: 10.1016/j.envpol.2024.123974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 04/08/2024] [Accepted: 04/11/2024] [Indexed: 04/16/2024]
Abstract
PM2.5 concentrations are higher during rush hours at background stations compared to the average concentration across these stations. Few studies have investigated PM2.5 concentration and its spatial distribution during rush hours using machine learning models. This study employs a geospatial-artificial intelligence (Geo-AI) prediction model to estimate the spatial and temporal variations of PM2.5 concentrations during morning and dusk rush hours in Taiwan. Mean hourly PM2.5 measurements were collected from 2006 to 2020, and aggregated into morning (7 a.m.-9 a.m.) and dusk (4 p.m.-6 p.m.) rush-hour mean concentrations. The Geo-AI prediction model was generated by integrating kriging interpolation, land-use regression, machine learning, and a stacking ensemble approach. A forward stepwise variable selection method based on the SHapley Additive exPlanations (SHAP) index was used to identify the most influential variables. The performance of the Geo-AI models for morning and dusk rush hours had accuracy scores of 0.95 and 0.93, respectively and these results were validated, indicating robust model performance. Spatially, PM2.5 concentrations were higher in southwestern Taiwan for morning rush hours, and suburban areas for dusk rush hours. Key predictors included kriged PM2.5 values, SO2 concentrations, forest density, and the distance to incinerators for both morning and dusk rush hours. These PM2.5 estimates for morning and dusk rush hours can support the development of alternative commuting routes with lower concentrations.
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Affiliation(s)
- Pei-Yi Wong
- Department of Environmental and Occupational Health, National Cheng Kung University, Tainan, Taiwan
| | - Huey-Jen Su
- Department of Environmental and Occupational Health, National Cheng Kung University, Tainan, Taiwan
| | - Shih-Chun Candice Lung
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan; Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan
| | - Wan-Yu Liu
- Department of Forestry, National Chung Hsing University, Taichung, Taiwan; Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung, Taiwan
| | - Hsiao-Ting Tseng
- Department of Information Management, National Central University, Taoyuan, Taiwan
| | - Gary Adamkiewicz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Chih-Da Wu
- Innovation and Development Center of Sustainable Agriculture, National Chung Hsing University, Taichung, Taiwan; Department of Geomatics, National Cheng Kung University, Tainan, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan; Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
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Zhu Q, Liu Y, Hasheminassab S. Long-term source apportionment of PM 2.5 across the contiguous United States (2000-2019) using a multilinear engine model. J Hazard Mater 2024; 472:134550. [PMID: 38728865 DOI: 10.1016/j.jhazmat.2024.134550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/02/2024] [Accepted: 05/03/2024] [Indexed: 05/12/2024]
Abstract
Identifying PM2.5 sources is crucial for effective air quality management and public health. This research used the Multilinear Engine (ME-2) model to analyze PM2.5 from 515 EPA Chemical Speciation Network (CSN) and Interagency Monitoring of Protected Visual Environments (IMPROVE) sites across the U.S. from 2000 to 2019. The U.S. was divided into nine regions for detailed analysis. A total of seven source types (tracers) were resolved across the country: (1) Soil/Dust (Si, Al, Ca and Fe); (2) Vehicle emissions (EC, OC, Cu and Zn); (3) Biomass/wood burning (K); (4) Heavy oil/coal combustion (Ni, V, Cl and As); (5) Secondary sulfate (SO42-); (6) Secondary nitrate (NO3-) and (7) Sea salt (Mg, Na, Cl and SO42-). Furthermore, we extracted and calculated secondary organic aerosols (SOA) based on the secondary sulfate and nitrate factors. Notably, significant reductions in secondary sulfate, nitrate, and heavy oil/coal combustion emissions reflect recent cuts in fossil-fueled power sector emissions. A decline in SOA suggests effective mitigation of their formation conditions or precursors. Despite these improvements, vehicle emissions and biomass burning show no significant decrease, highlighting the need for focused control on these persistent pollution sources for future air quality management.
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Affiliation(s)
- Qiao Zhu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
| | - Sina Hasheminassab
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
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Chen R, Zhang L, Gu W, Li R, Hong H, Zhou L, Zhang J, Wang Y, Ni P, Xu S, Wang Z, Sun Q, Liu C, Yang J. Lung function benefits of traditional Chinese medicine Qiju granules against fine particulate air pollution exposure: a randomized controlled trial. Front Med (Lausanne) 2024; 11:1370657. [PMID: 38741765 PMCID: PMC11089203 DOI: 10.3389/fmed.2024.1370657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/01/2024] [Indexed: 05/16/2024] Open
Abstract
Introduction Multiple targets are considered as the causes of ambient fine particulate matter [aerodynamic diameters of < 2.5 μm (PM2.5)] induced lung function injury. Qiju granules are derived from the traditional Chinese medicine (TCM) formula known as Qi-Ju-Di-Huang-Wan (Lycium, Chrysanthemum, and Rehmannia Formula, QJDHW), which has been traditionally used to treat symptoms such as cough with phlegm, dry mouth and throat, and liver heat. This treatment approach involves attenuating inflammation, oxidative stress, and fibrosis response. This study investigated the effects of Qiju granules on protecting lung function against PM2.5 exposure in a clinical trial. Methods A randomized, double-blinded, and placebo-controlled trial was performed among 47 healthy college students in Hangzhou, Zhejiang Province in China. The participants were randomly assigned to the Qiju granules group or the control group based on gender. Clinical follow-ups were conducted once every 2 weeks during a total of 4 weeks of intervention. Real-time monitoring of PM2.5 concentrations in the individually exposed participants was carried out. Data on individual characteristics, heart rate (HR), blood pressure (BP), and lung function at baseline and during the follow-ups were collected. The effects of PM2.5 exposure on lung function were assessed within each group using linear mixed-effect models. Results In total, 40 eligible participants completed the scheduled follow-ups. The average PM2.5 level was found to be 64.72 μg/m3 during the study period. A significant negative correlation of lung function with PM2.5 exposure concentrations was observed, and a 1-week lag effect was observed. Forced expiratory volume in one second (FEV1), peak expiratory flow (PEF), maximal mid-expiratory flow (MMEF), forced expiratory flow at 75% of forced vital capacity (FVC) (FEF75), forced expiratory flow at 50% of FVC (FEF50), and forced expiratory flow at 25% of FVC (FEF25) were significantly decreased due to PM2.5 exposure in the control group. Small airway function was impaired more seriously than large airway function when PM2.5 exposure concentrations were increased. In the Qiju granules group, the associations between lung function and PM2.5 exposure were much weaker, and no statistical significance was observed. Conclusion The results of the study showed that PM2.5 exposure was associated with reduced lung function. Qiju granules could potentially be effective in protecting lung functions from the adverse effects of PM2.5 exposure. Clinical Trial Registration identifier: ChiCTR1900021235.
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Affiliation(s)
- Rucheng Chen
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Lu Zhang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Weijia Gu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Ran Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Huihua Hong
- First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Linshui Zhou
- First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Jinna Zhang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Yixuan Wang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Ping Ni
- First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Shuqin Xu
- First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Zhen Wang
- First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Qinghua Sun
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Cuiqing Liu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
- Zhejiang International Science and Technology Cooperation Base of Air Pollution and Health, Hangzhou, China
| | - Junchao Yang
- First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
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Danesh Yazdi M, Amini H, Wei Y, Castro E, Shi L, Schwartz JD. Long-term exposure to PM2.5 species and all-cause mortality among Medicare patients using mixtures analyses. Environ Res 2024; 246:118175. [PMID: 38215924 DOI: 10.1016/j.envres.2024.118175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 12/23/2023] [Accepted: 01/09/2024] [Indexed: 01/14/2024]
Abstract
BACKGROUND The relationship between long-term exposure to PM2.5 and mortality is well-established; however, the role of individual species is less understood. OBJECTIVES In this study, we assess the overall effect of long-term exposure to PM2.5 as a mixture of species and identify the most harmful of those species while controlling for the others. METHODS We looked at changes in mortality among Medicare participants 65 years of age or older from 2000 to 2018 in response to changes in annual levels of 15 PM2.5 components, namely: organic carbon, elemental carbon, nickel, lead, zinc, sulfate, potassium, vanadium, nitrate, silicon, copper, iron, ammonium, calcium, and bromine. Data on exposure were derived from high-resolution, spatio-temporal models which were then aggregated to ZIP code. We used the rate of deaths in each ZIP code per year as the outcome of interest. Covariates included demographic, temperature, socioeconomic, and access-to-care variables. We used a mixtures approach, a weighted quantile sum, to analyze the joint effects of PM2.5 species on mortality. We further looked at the effects of the components when PM2.5 mass levels were at concentrations below 8 μg/m3, and effect modification by sex, race, Medicaid status, and Census division. RESULTS We found that for each decile increase in the levels of the PM2.5 mixture, the rate of all-cause mortality increased by 1.4% (95% CI: 1.3%-1.4%), the rate of cardiovascular mortality increased by 2.1% (95% CI: 2.0%-2.2%), and the rate of respiratory mortality increased by 1.7% (95% CI: 1.5%-1.9%). These effects estimates remained significant and slightly higher when we restricted to lower concentrations. The highest weights for harmful effects were due to organic carbon, nickel, zinc, sulfate, and vanadium. CONCLUSIONS Long-term exposure to PM2.5 species, as a mixture, increased the risk of all-cause, cardiovascular, and respiratory mortality.
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Affiliation(s)
- Mahdieh Danesh Yazdi
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA; Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.
| | - Heresh Amini
- Department of Environmental Medicine and Public Health, Institute for Climate Change, Environmental Health, and Exposomics, Icahn School of Medicine, New York, NY, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Edgar Castro
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
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de Almeida Piai K, Nogueira T, Kaneshiro Olympio KP, Nardocci AC. Assessment of human health risks associated with airborne arsenic, nickel and lead exposure in particulate matter from vehicular sources in Sao Paulo city. Int J Environ Health Res 2024; 34:1926-1943. [PMID: 36745741 DOI: 10.1080/09603123.2023.2173153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
Air pollution is a critical public health concern. The present study assessed the risk to human health of airborne Potentially Toxic Elements (PTE) arsenic, nickel and lead exposure in particulate matter (PM10-2.5) in Sao Paulo, Brazil. Statistical analysis was performed using R Software and the risk assessment for human health was carried out according to the methods of the United States Environmental Protection Agency. The results for mean annual concentration of PTE (ng m-3) were within the limits stipulated for air-quality by international agencies (arsenic <6, nickel <20 and lead <150). Airborne arsenic and lead showed higher mean concentrations during the winter than the other seasons (p < 0.05). However, the results showed a greater health risk for the adult population and during the winter season. These findings highlight the importance of air pollution as a risk factor for population health.
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Affiliation(s)
- Kamila de Almeida Piai
- Departamento de Saúde Ambiental - Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brasil
| | - Thiago Nogueira
- Departamento de Saúde Ambiental - Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brasil
| | | | - Adelaide Cassia Nardocci
- Departamento de Saúde Ambiental - Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, Brasil
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Zhou Y, Xu B, Wang L, Sun Q, Zhang C, Li S. Effects of inhaled fine particulate matter on the lung injury as well as gut microbiota in broilers. Poult Sci 2024; 103:103426. [PMID: 38335666 PMCID: PMC10869302 DOI: 10.1016/j.psj.2024.103426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 12/27/2023] [Accepted: 01/02/2024] [Indexed: 02/12/2024] Open
Abstract
Fine particulate matter (PM2.5) has been widely regarded as an important environmental risk factor that has widely influenced health of both animals and humans. Lung injury is the main cause of PM2.5 affecting respiratory tract health. Gut microbiota participates in the development of lung injury in many pathological processes. However, there is still unknown the specific effects of PM2.5 on the gut-lung axis in broilers. Thus, we conducted a broiler model based on 3-wk-old male Arbor Acres broiler to explore the underlying mechanism. Our results showed that PM2.5 exposure triggered TLR4 signaling pathway and induced the increase of IL-6, IFN-γ, TNF-α expression as well as the decrease of IL-10 expression in the lung. Inhaled PM2.5 exposure significantly altered the gut microbiota diversity and community. Specifically, PM2.5 exposure decreased α diversity and altered β diversity of gut microbiota, and reduced the abundance of DTU089, Oscillospirales, Staphylococcus, and increased the Escherichia-Shigella abundance, leading to the increase of gut-derived lipopolysaccharides (LPS). Moreover, PM2.5 significantly disrupted the intestinal epithelial barrier by reducing the expression of muc2 and claudin-1 to increase intestinal permeability, which possibly facilitated the LPS translocation into the blood. Spearman analysis revealed that gut microbiota dysbiosis was positively related to TLR4, TNF-α, and IFN-γ expression in the lung. In summary, our results showed that PM2.5 exposure induced lung injury by causing inflammation and triggering TLR4 signaling pathway, and also induced gut microbiota dysbiosis resulting in the overproduction of gut-derived LPS. And gut microbiota dysbiosis may be associated with lung injury. The above results provide basis data to comprehend the potential role of gut microbiota dysbiosis in the lung injury as well as providing a new regulatory target for alleviating lung injury associated with environmental pollutants.
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Affiliation(s)
- Ying Zhou
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Bin Xu
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Linyi Wang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Quanyou Sun
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Chaoshuai Zhang
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, China
| | - Shaoyu Li
- Institute of Animal Husbandry and Veterinary Science, Henan Academy of Agricultural Sciences, Zhengzhou, China.
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Kentros PA, Huang Y, Wylie BJ, Khoury-Collado F, Hou JY, de Meritens AB, St Clair CM, Hershman DL, Wright JD. Ambient particulate matter air pollution exposure and ovarian cancer incidence in the USA: An ecological study. BJOG 2024; 131:690-698. [PMID: 37840233 DOI: 10.1111/1471-0528.17689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/09/2023] [Accepted: 09/21/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE To investigate associations between air particulate matter of ≤2.5 μm in diameter (PM2.5 ) and ovarian cancer. DESIGN County-level ecological study. SETTING Surveillance, epidemiology, and end results from a collection of state-level cancer registries across 744 counties. Data from the Environmental Protection Agency's network for PM2.5 monitoring was used to calculate trailing 5- and 10-year PM2.5 county-level values. County-level data on demographic characteristics were obtained from the American Community Survey. POPULATION A total of 98 751 patients with histologically confirmed ovarian cancer as a primary malignancy from 2000 to 2016. METHODS Generalised linear regression models were developed to estimate the association between PM2.5 and PM10 levels, over 5- and 10-year periods of exposure, and ovarian cancer risk, after accounting for county-level covariates. MAIN OUTCOME MEASURES Risk ratios for associations between ovarian cancer (both overall and specifically epithelial ovarian cancer) and PM2.5 levels. RESULTS For the 744 counties included, the average PM2.5 level from 1990 through 2018 was 11.75 μg/m3 (SD = 3.7) and the average PM10 level was 22.7 μg/m3 (SD = 5.7). After adjusting for county-level covariates, the overall annualised ovarian cancer incidence was significantly associated with increases in 5-year PM2.5 (RR = 1.11 per 10 units (μg/m3 ) increase, 95% CI 1.06-1.16). Similarly, when the analysis was limited to epithelial cell tumours and adjusted for county-level covariates there was a significant association with trailing 5-year PM2.5 exposure models (RR = 1.12 per 10 units increase, 95% CI 1.08-1.17). Likewise, 10-year PM2.5 exposure was associated with ovarian cancer overall and with epithelial ovarian cancer. CONCLUSIONS Higher county-level ambient PM2.5 levels are associated with 5- and 10-year incidences of ovarian cancer, as measurable in an ecological study.
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Affiliation(s)
| | - Yongmei Huang
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- Joseph L. Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Blair J Wylie
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
| | - Fady Khoury-Collado
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, New York, New York, USA
| | - June Y Hou
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, New York, New York, USA
| | - Alexandre Buckley de Meritens
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, New York, New York, USA
| | - Caryn M St Clair
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, New York, New York, USA
| | - Dawn L Hershman
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- Joseph L. Mailman School of Public Health, Columbia University, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, New York, New York, USA
| | - Jason D Wright
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- Joseph L. Mailman School of Public Health, Columbia University, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, New York, New York, USA
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10
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Zhang Y, Wei J, Zhao S, Zeng Q, Sun S, Cao W. Ambient fine particulate matter constituents and semen quality among adult men in China. J Hazard Mater 2024; 465:133313. [PMID: 38147745 DOI: 10.1016/j.jhazmat.2023.133313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 11/23/2023] [Accepted: 12/17/2023] [Indexed: 12/28/2023]
Abstract
Exposure to ambient fine particulate matter (PM2.5) was associated with decreased semen quality, but the relationship between PM2.5 constituents and semen quality was unclear. We recruited 27,824 adult men attending an infertility clinic in Wuhan, China, between 2014 and 2020. We used a four-dimensional spatiotemporal deep forest model to estimate concentrations of PM2.5 mass and its chemical constituents, including organic matter (OM), black carbon (BC), sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), and chloride (Cl-). We employed linear regression models to estimate the association between PM2.5 mass and its constituents with various sperm parameters. Exposure to PM2.5 was associated with a reduction in sperm quality, with a percent change of - 5.69% (95% confidence interval [CI]: -8.53%, -2.85%) for sperm density, - 15.09% (95% CI: -22.24%, -7.94%) for sperm total count, - 1.63% (95% CI: -2.36%, -0.91%) for sperm progressive motility, and - 2.30% (95% CI: -3.04%, -1.55%) for sperm total motility. Among specific constituents, exposure to OM, BC, Cl-, or NO3- was associated with a reduction in these four semen quality parameters. The association was more pronounced among older men or individuals with lower levels of education. Our findings suggest that PM2.5 mass and each constituent were associated with decreased semen quality in adult men.
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Affiliation(s)
- Yangchang Zhang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
| | - Shi Zhao
- Centre for Health Systems and Policy Research, Chinese University of Hong Kong, 999077, the Hong Kong Special Administrative Region of China
| | - Qiang Zeng
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China; Beijing Laboratory of Allergic Diseases and Beijing Key Laboratory of Nasal Diseases, Beijing Institute of Otolaryngology, Beijing 100005, China; School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China.
| | - Wangnan Cao
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing 100191, China.
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11
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Shi J, Zhao Z, Gao Y, Yuan W, Ma W, Zhang J, Zhang B, Liu D, Wang J. A High-Voltage-Specialized Direct-Current Triboelectric Nanogenerator for Air Purification. Small 2024:e2311930. [PMID: 38433391 DOI: 10.1002/smll.202311930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 02/20/2024] [Indexed: 03/05/2024]
Abstract
Human health and the environment face significant challenges of air pollution, which is predominantly caused by PM2.5 or PM10 particles. Existing control methods often require elevated energy consumption or bulky high-voltage electrical equipment. To overcome these limitations, a self-powered, convenient, and compact direct current high-voltage triboelectric nanogenerator based on triboelectrification and electrostatic breakdown effects is proposed. By optimizing the structure-design of the direct current triboelectric nanogenerator and corresponding output voltage, it can easily achieve an output voltage of over 3 kV with a high charge density of 320 µC m-2 . A power management circuit is designed to overcome the influence of third domain self-breakdown, optimize 92.5% amplitude of voltage shake, and raise 5% charge utilization ratio. With a device size as tiny as 2.25 cm3 , it can continuously drive carbon nanowires to generate negative ions that settle dust within 300 s. This compact, simple, efficient, and safe high-voltage direct current triboelectric nanogenerator represents a promising sustainable solution. It offers efficient dust mitigation, fostering cleaner environments, and enhancing overall health.
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Affiliation(s)
- Jianxun Shi
- Center on Nanoenergy Research, Guangxi Colleges and Universities Key Laboratory of Blue Energy and Systems Integration, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, P. R. China
| | - Zhihao Zhao
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, P. R. China
| | - Yikui Gao
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, P. R. China
| | - Wei Yuan
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, P. R. China
| | - Wenlong Ma
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, P. R. China
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, P. R. China
| | - Jiayue Zhang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, P. R. China
- Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, P. R. China
| | - Baofeng Zhang
- Hubei Key Laboratory of Automotive Power Train and Electronic control, School of Automotive Engineering, Hubei University of Automotive Technology, Shiyan, 442002, P. R. China
| | - Dongyang Liu
- Center on Nanoenergy Research, Guangxi Colleges and Universities Key Laboratory of Blue Energy and Systems Integration, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, P. R. China
| | - Jie Wang
- Center on Nanoenergy Research, Guangxi Colleges and Universities Key Laboratory of Blue Energy and Systems Integration, School of Physical Science & Technology, Guangxi University, Nanning, 530004, China
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 100083, P. R. China
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12
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Li J, Jiang H, Zhu Y, Ma Z, Li B, Dong J, Xiao C, Hu A. Fine particulate matter (PM 2.5) induces the stem cell-like properties of hepatocellular carcinoma by activating ROS/Nrf2/Keap1-mediated autophagy. Ecotoxicol Environ Saf 2024; 272:116052. [PMID: 38325274 DOI: 10.1016/j.ecoenv.2024.116052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/18/2024] [Accepted: 01/27/2024] [Indexed: 02/09/2024]
Abstract
Exposure to fine particulate matter (PM2.5) has been linked to an increased incidence and mortality of hepatocellular carcinoma (HCC). However, the impact of PM2.5 exposure on HCC progression and the underlying mechanisms remain largely unknown. This study aimed to investigate the effects of PM2.5 exposure on the stem cell-like properties of HCC cells. Our findings indicate that PM2.5 exposure significantly enhances the stemness of HCC cells (p < 0.01). Subsequently, male nude mice were divided into two groups (n = 8/group for tumor-bearing assay, n = 5/group for metastasis assay) for control and PM2.5 exposure. In vivo assays revealed that exposure to PM2.5 promoted the growth, metastasis, and epithelial-mesenchymal transition (EMT) of HCC cells (p < 0.01). Further exploration demonstrated that PM2.5 enhances the stemness of HCC cells by inducing cellular reactive oxygen species (ROS) generation (p < 0.05). Mechanistic investigation indicated that elevated intracellular ROS inhibited kelch-like ECH-associated protein 1 (Keap1) levels, promoting the upregulation and nucleus translocation of NFE2-like bZIP transcription factor 2 (Nrf2). This, in turn, induced autophagy activation, thereby promoting the stemness of HCC cells (p < 0.01). Our present study demonstrates the adverse effects of PM2.5 exposure on HCC development and highlights the mechanism of ROS/Nrf2/Keap1-mediated autophagy. For the first time, we reveal the impact of PM2.5 exposure on the poor prognosis-associated cellular phenotype of HCC and its underlying mechanism, which is expected to provide new theoretical basis for the improvement of public health.
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Affiliation(s)
- Jiujiu Li
- Hefei Center for Disease Control and Prevention, Hefei 230032, China
| | - Haoqi Jiang
- School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Yu Zhu
- Hefei Center for Disease Control and Prevention, Hefei 230032, China
| | - Zijian Ma
- Hefei Center for Disease Control and Prevention, Hefei 230032, China
| | - Bin Li
- School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Jun Dong
- Hefei Center for Disease Control and Prevention, Hefei 230032, China
| | - Changchun Xiao
- Hefei Center for Disease Control and Prevention, Hefei 230032, China.
| | - Anla Hu
- School of Public Health, Anhui Medical University, Hefei 230032, China.
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13
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Liu Y, Zhang Y, Yu P, Ye T, Zhang Y, Xu R, Li S, Guo Y. Applying traffic camera and deep learning-based image analysis to predict PM 2.5 concentrations. Sci Total Environ 2024; 912:169233. [PMID: 38097087 DOI: 10.1016/j.scitotenv.2023.169233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 11/24/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Air pollution has caused a significant burden in terms of mortality and mobility worldwide. However, the current coverage of air quality monitoring networks is still limited. OBJECTIVE This study aims to apply a novel approach to convert the existing traffic cameras into sensors measuring particulate matter with a diameter of 2.5 μm or less (PM2.5) so that the coverage of PM2.5 monitoring could be expanded without extra cost. METHODS In our study, the traffic camera images were collected at a rate of 4 images/h and the corresponding hourly PM2.5 concentration was collected from the reference grade PM2.5 station 3 km away. A customized neural network model was trained to obtain the PM2.5 concentration from images followed by a random forest model to predict the hourly PM2.5 concentration. The saliency maps and the feature importance were utilized to interpret the neural network. RESULTS Proposed novel approach has a high prediction performance to predict hourly PM2.5 from traffic camera images, with a root mean square error (RMSE) of 0.76 μg/m3 and a coefficient of determination (R2) of 0.98. The saliency map shows neural network focuses on unobstructed far-end road surfaces while the random forest feature importance highlights the first quarter image's significance. The model performance is robust whether weather conditions are controlled or not. CONCLUSION Our study provided a practical approach to converting the existing traffic cameras into PM2.5 sensors. The deep learning method based on the Resnet architecture in our study can broaden the coverage of PM2.5 monitoring with no additional infrastructure needed.
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Affiliation(s)
- Yanming Liu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Yuxi Zhang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia; School of Life and Environmental Sciences, the University of Sydney, Sydney, NSW 2006, Australia
| | - Pei Yu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Tingting Ye
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Yiwen Zhang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Rongbin Xu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Shanshan Li
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
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14
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Feng Y, Castro E, Wei Y, Jin T, Qiu X, Dominici F, Schwartz J. Long-term exposure to ambient PM2.5, particulate constituents and hospital admissions from non-respiratory infection. Nat Commun 2024; 15:1518. [PMID: 38374182 PMCID: PMC10876532 DOI: 10.1038/s41467-024-45776-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 02/05/2024] [Indexed: 02/21/2024] Open
Abstract
The association between PM2.5 and non-respiratory infections is unclear. Using data from Medicare beneficiaries and high-resolution datasets of PM2.5 and its constituents across 39,296 ZIP codes in the U.S between 2000 and 2016, we investigated the associations between annual PM2.5, PM2.5 constituents, source-specific PM2.5, and hospital admissions from non-respiratory infections. Each standard deviation (3.7-μg m-3) increase in PM2.5 was associated with a 10.8% (95%CI 10.8-11.2%) increase in rate of hospital admissions from non-respiratory infections. Sulfates (30.8%), Nickel (22.5%) and Copper (15.3%) contributed the largest weights in the observed associations. Each standard deviation increase in PM2.5 components sourced from oil combustion, coal burning, traffic, dirt, and regionally transported nitrates was associated with 14.5% (95%CI 7.6-21.8%), 18.2% (95%CI 7.2-30.2%), 20.6% (95%CI 5.6-37.9%), 8.9% (95%CI 0.3-18.4%) and 7.8% (95%CI 0.6-15.5%) increases in hospital admissions from non-respiratory infections. Our results suggested that non-respiratory infections are an under-appreciated health effect of PM2.5.
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Affiliation(s)
- Yijing Feng
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Edgar Castro
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tingfan Jin
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel Schwartz
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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15
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Giammona A, Remedia S, Porro D, Lo Dico A, Bertoli G. The biological interplay between air pollutants and miRNAs regulation in cancer. Front Cell Dev Biol 2024; 12:1343385. [PMID: 38434617 PMCID: PMC10905188 DOI: 10.3389/fcell.2024.1343385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 01/18/2024] [Indexed: 03/05/2024] Open
Abstract
Air pollution, especially fine particulate matter (PM2.5, with an aerodynamic diameter of less than 2.5 μm), represents a risk factor for human health. Many studies, regarding cancer onset and progression, correlated with the short and/or long exposition to PM2.5. This is mainly mediated by the ability of PM2.5 to reach the pulmonary alveoli by penetrating into the blood circulation. This review recapitulates the methodologies used to study PM2.5 in cellular models and the downstream effects on the main molecular pathways implicated in cancer. We report a set of data from the literature, that describe the involvement of miRNAs or long noncoding RNAs on the main biological processes involved in oxidative stress, inflammation, autophagy (PI3K), cell proliferation (NFkB, STAT3), and EMT (Notch, AKT, Wnt/β-catenin) pathways. microRNAs, as well as gene expression profile, responds to air pollution environment modulating some key genes involved in epigenetic modification or in key mediators of the biological processes described below. In this review, we provide some scientific evidences about the thigh correlation between miRNAs dysregulation, PM2.5 exposition, and gene pathways involved in cancer progression.
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Affiliation(s)
- Alessandro Giammona
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Segrate, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
| | - Sofia Remedia
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Segrate, Italy
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Segrate, Italy
| | - Danilo Porro
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Segrate, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
| | - Alessia Lo Dico
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Segrate, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
| | - Gloria Bertoli
- Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Segrate, Italy
- National Biodiversity Future Center (NBFC), Palermo, Italy
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16
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Luo L, Jiang M, Xiong Y, Xiong A, Zhang L, Wu D, Liu Y, Ran Q, Liu J, Zhang Y, Li J, He X, Wang J, Li G. Fine particulate matter 2.5 induces susceptibility to Pseudomonas aeruginosa infection via expansion of PD-L1 high neutrophils in mice. Respir Res 2024; 25:90. [PMID: 38355515 PMCID: PMC10865610 DOI: 10.1186/s12931-023-02640-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 12/15/2023] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Exposure to PM2.5 has been implicated in a range of detrimental health effects, particularly affecting the respiratory system. However, the precise underlying mechanisms remain elusive. METHODS To address this objective, we collected ambient PM2.5 and administered intranasal challenges to mice, followed by single-cell RNA sequencing (scRNA-seq) to unravel the heterogeneity of neutrophils and unveil their gene expression profiles. Flow cytometry and immunofluorescence staining were subsequently conducted to validate the obtained results. Furthermore, we assessed the phagocytic potential of neutrophils upon PM2.5 exposure using gene analysis of phagocytosis signatures and bacterial uptake assays. Additionally, we utilized a mouse pneumonia model to evaluate the susceptibility of PM2.5-exposed mice to Pseudomonas aeruginosa infection. RESULTS Our study revealed a significant increase in neutrophil recruitment within the lungs of PM2.5-exposed mice, with subclustering of neutrophils uncovering subsets with distinct gene expression profiles. Notably, exposure to PM2.5 was associated with an expansion of PD-L1high neutrophils, which exhibited impaired phagocytic function dependent upon PD-L1 expression. Furthermore, PM2.5 exposure was found to increase the susceptibility of mice to Pseudomonas aeruginosa, due in part to increased PD-L1 expression on neutrophils. Importantly, monoclonal antibody targeting of PD-L1 significantly reduced bacterial burden, dissemination, and lung inflammation in PM2.5-exposed mice upon Pseudomonas aeruginosa infection. CONCLUSIONS Our study suggests that PM2.5 exposure promotes expansion of PD-L1high neutrophils with impaired phagocytic function in mouse lungs, contributing to increased vulnerability to bacterial infection, and therefore targeting PD-L1 may be a therapeutic strategy for reducing the harmful effects of PM2.5 exposure on the immune system.
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Affiliation(s)
- Li Luo
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Manling Jiang
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science & Technology, Macao Special Administrative Region, Taipa, China
| | - Ying Xiong
- Department of Pulmonary and Critical Care Medicine, Sichuan Friendship Hospital, Chengdu, China
| | - Anying Xiong
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Lei Zhang
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science & Technology, Macao Special Administrative Region, Taipa, China
| | - Dehong Wu
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Yao Liu
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science & Technology, Macao Special Administrative Region, Taipa, China
| | - Qin Ran
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Jiliu Liu
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Yi Zhang
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
| | - Jiahuan Li
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China
- North Sichuan Medical College, Nanchong, China
| | - Xiang He
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China.
| | - Junyi Wang
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China.
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science & Technology, Macao Special Administrative Region, Taipa, China.
| | - Guoping Li
- Laboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, 610031, China.
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17
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Richards SL, Sousan S, Murray W, White A, Peyton K, Slade R. Development of novel compact wind tunnel for testing efficacy of insecticide formulated products in mosquitoes. Pest Manag Sci 2024. [PMID: 38345320 DOI: 10.1002/ps.8018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/04/2024] [Accepted: 02/08/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND Ultra-low volume (ULV) space sprays aerosolize insecticide formulated products (FP) to contact flying mosquitoes, while barrier sprays expose mosquitoes to FP residue on vegetation and other surfaces. Centers for Disease Control and Prevention bottle bioassays used to assess insecticide resistance are based on residual active ingredient (AI) exposure and do not directly relate to FP efficacy. The current pilot study developed a novel compact wind tunnel for mosquito exposure to FP. Caged Aedes albopictus and Culex pipiens/quinquefasciatus were exposed to undiluted Biomist®3 + 15 FP (permethrin AI) or air (control) within the wind tunnel, transferred to new cages, and held in a 28 °C incubator. Separate mosquitoes were exposed to residual permethrin AI (8 μg mL-1 ) in bottle bioassays. Mortality was monitored 15, 30, 60, and 120 min post-exposure. RESULTS Chi-square tests (P < 0.05) showed significantly higher mortality in Aedes compared to Culex populations for most time points in both bioassay and wind tunnel exposure groups. As expected, mosquitoes exposed to Biomist®3 + 15 showed higher mortality rates than bottle bioassay exposure to permethrin. Two Culex colonies resistant to permethrin in bottle bioassays were susceptible to Biomist®3 + 15 in the wind tunnel. CONCLUSION The novel compact wind tunnel developed here may be an alternative to field trials for testing FP efficacy, avoiding factors such as weather, logistical planning, and extended personnel hours. The wind tunnel could allow programs to conveniently test efficacy of multiple FP. Comparisons of different insecticide exposure methods provide practical information to inform operational decisions. © 2024 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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Affiliation(s)
- Stephanie L Richards
- Department of Health Education and Promotion, Environmental Health Science Program, College of Health and Human Performance, East Carolina University, Greenville, NC, USA
| | - Sinan Sousan
- Department of Public Health, Brody School of Medicine, East Carolina University, Greenville, NC, USA
- North Carolina Agromedicine Institute, East Carolina University, Greenville, NC, USA
| | - Will Murray
- Department of Health Education and Promotion, Environmental Health Science Program, College of Health and Human Performance, East Carolina University, Greenville, NC, USA
- Department of Public Health, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Avian White
- Department of Health Education and Promotion, Environmental Health Science Program, College of Health and Human Performance, East Carolina University, Greenville, NC, USA
| | - Kaya Peyton
- College of Health and Sciences, Department of Environmental, Earth, and Geospatial Science, North Carolina Central University, Durham, NC, USA
| | - Raven Slade
- Department of Health Education and Promotion, Environmental Health Science Program, College of Health and Human Performance, East Carolina University, Greenville, NC, USA
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Bhattarai G, Shrestha SK, Sim HJ, Lee JC, Kook SH. Effects of fine particulate matter on bone marrow-conserved hematopoietic and mesenchymal stem cells: a systematic review. Exp Mol Med 2024; 56:118-128. [PMID: 38200155 PMCID: PMC10834576 DOI: 10.1038/s12276-023-01149-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/25/2023] [Accepted: 11/02/2023] [Indexed: 01/12/2024] Open
Abstract
The harmful effects of fine particulate matter ≤2.5 µm in size (PM2.5) on human health have received considerable attention. However, while the impact of PM2.5 on the respiratory and cardiovascular systems has been well studied, less is known about the effects on stem cells in the bone marrow (BM). With an emphasis on the invasive characteristics of PM2.5, this review examines the current knowledge of the health effects of PM2.5 exposure on BM-residing stem cells. Recent studies have shown that PM2.5 enters the circulation and then travels to distant organs, including the BM, to induce oxidative stress, systemic inflammation and epigenetic changes, resulting in the reduction of BM-residing stem cell survival and function. Understanding the broader health effects of air pollution thus requires an understanding of the invasive characteristics of PM2.5 and its direct influence on stem cells in the BM. As noted in this review, further studies are needed to elucidate the underlying processes by which PM2.5 disturbs the BM microenvironment and inhibits stem cell functionality. Strategies to prevent or ameliorate the negative effects of PM2.5 exposure on BM-residing stem cells and to maintain the regenerative capacity of those cells must also be investigated. By focusing on the complex relationship between PM2.5 and BM-resident stem cells, this review highlights the importance of specific measures directed at safeguarding human health in the face of rising air pollution.
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Affiliation(s)
- Govinda Bhattarai
- Department of Bioactive Material Sciences, Research Center of Bioactive Materials, Jeonbuk National University, Jeonju, 54896, Republic of Korea
- Cluster for Craniofacial Development and Regeneration Research, Institute of Oral Biosciences and School of Dentistry, Jeonbuk National University, Jeonju, 54896, Republic of Korea
| | - Saroj Kumar Shrestha
- Cluster for Craniofacial Development and Regeneration Research, Institute of Oral Biosciences and School of Dentistry, Jeonbuk National University, Jeonju, 54896, Republic of Korea
| | - Hyun-Jaung Sim
- Department of Bioactive Material Sciences, Research Center of Bioactive Materials, Jeonbuk National University, Jeonju, 54896, Republic of Korea
- Cluster for Craniofacial Development and Regeneration Research, Institute of Oral Biosciences and School of Dentistry, Jeonbuk National University, Jeonju, 54896, Republic of Korea
| | - Jeong-Chae Lee
- Department of Bioactive Material Sciences, Research Center of Bioactive Materials, Jeonbuk National University, Jeonju, 54896, Republic of Korea.
- Cluster for Craniofacial Development and Regeneration Research, Institute of Oral Biosciences and School of Dentistry, Jeonbuk National University, Jeonju, 54896, Republic of Korea.
| | - Sung-Ho Kook
- Department of Bioactive Material Sciences, Research Center of Bioactive Materials, Jeonbuk National University, Jeonju, 54896, Republic of Korea.
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19
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Chen Z, Bai Y, Lou C, Wu B. Serum metabolome responses induced by long-term inoculation of suspended PM2.5 in chicken. Poult Sci 2024; 103:103283. [PMID: 38086244 PMCID: PMC10733702 DOI: 10.1016/j.psj.2023.103283] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 10/28/2023] [Accepted: 11/13/2023] [Indexed: 12/24/2023] Open
Abstract
The adverse effects of exposure to fine particulate matter (PM2.5) on body health have attracted global public attention. However, there is limited research on PM2.5 in animal houses. Numerous studies have indicated that long-term exposure to high levels of PM2.5 can cause damage to multiple systems in animals. Poultry houses are one of the primary sources of PM2.5 emissions. However, there is limited research on the effects of PM2.5 exposure on poultry organisms. This study analyzed the histopathological changes in the lung tissue of poultry under PM2.5 exposure conditions. It used the LC-MS method to analyze the alterations in the serum metabolomic profile of poultry. This study confirmed that long-term exposure to high levels of PM2.5 had significantly reduced the growth performance of poultry. Histopathological slides of the lung tissue in chickens exposed to long-term retention of PM2.5 clearly showed significant damage. Furthermore, the serum metabolome analysis revealed significant changes in the serum metabolic profile of chickens exposed to long-term PM2.5 exposure. Specifically, there were notable alterations in the Glycerophospholipid metabolism, Steroid hormone biosynthesis, and Phenylalanine, tyrosine, and tryptophan biosynthesis pathways.
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Affiliation(s)
- Zhuo Chen
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China
| | - Yu Bai
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China
| | - Cheng Lou
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China
| | - Bo Wu
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Science and Engineering, Foshan University, Foshan, 528225, China.
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Luo Y, Wei H, Yang K. The impact of biomass burning occurred in the Indo-China Peninsula on PM2.5 and its spatiotemporal characteristics over Yunnan Province. Sci Total Environ 2024; 908:168185. [PMID: 37907099 DOI: 10.1016/j.scitotenv.2023.168185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/25/2023] [Accepted: 10/27/2023] [Indexed: 11/02/2023]
Abstract
Being one of the most serious biomass burning regions in the world, the air pollution caused by spring combustion in the Indo-China Peninsula (ICP) has already had an impact on Yunnan Province's beautiful environment and excellent air quality to some extent. In this study, considering the differences in geographical location and topography of Yunnan, we used the K-Means algorithm to divide it into five clustering zones according to the spatiotemporal variation characteristics of PM2.5. Then this study explored the spatial and temporal characteristics of pollution in Yunnan Province and biomass combustion in ICP based on the multi-source data such as MOD14A1, GDAS1, and ground-based PM2.5 data, and used HYSPLIT (Hybrid Single-Particle Lagrangian Integrated Trajectory) pollution tracer analysis and other data statistical methods. The results show that the spatiotemporal variation characteristics of PM2.5 in Yunnan Province show large differences within each clustering zone (CZ). Spatially, CZ 2 has better air quality throughout the year, and the areas with higher PM2.5 are mainly in CZ 1 and CZ 3. Temporally, the months with higher concentration values were mainly from February to April, and also this period owed high biomass burning activities in the ICP, which resulted in pollution values exceeding 60 μg/m3 within certain CZs. Finally, the results of the pollution tracer analysis showed that within CZs other than CZ 2, the contribution due to the burning in the ICP was variable, and that the countries with a high contribution of pollution to Yunnan Province were Myanmar, and the other sources of pollution are mainly caused by local and neighbouring anthropogenic activities. Therefore, based on overall improvement of air quality, Yunnan Province is necessary to prevent and control not only the pollutants from the ICP from February to April, but also the pollution caused by the emissions from rapid economic development.
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Affiliation(s)
- Yi Luo
- Faculty of Geography, Yunnan Normal University, Kunming 650500, China; GIS Technology Research Center of Resource and Environment in Western China, Ministry of Education, Yunnan Normal University, Kunming 650500, China
| | - Hong Wei
- Faculty of Geography, Yunnan Normal University, Kunming 650500, China.
| | - Kun Yang
- Faculty of Geography, Yunnan Normal University, Kunming 650500, China; GIS Technology Research Center of Resource and Environment in Western China, Ministry of Education, Yunnan Normal University, Kunming 650500, China.
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21
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Wathanavasin W, Banjongjit A, Phannajit J, Eiam-Ong S, Susantitaphong P. Association of fine particulate matter (PM 2.5) exposure and chronic kidney disease outcomes: a systematic review and meta-analysis. Sci Rep 2024; 14:1048. [PMID: 38200164 PMCID: PMC10781728 DOI: 10.1038/s41598-024-51554-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/06/2024] [Indexed: 01/12/2024] Open
Abstract
Several studies have reported an increased risk of chronic kidney disease (CKD) outcomes after long-term exposure (more than 1 year) to particulate matter with an aerodynamic diameter of ≤ 2.5 µm (PM2.5). However, the conclusions remain inconsistent. Therefore, we conducted this meta-analysis to examine the association between long-term PM2.5 exposure and CKD outcomes. A literature search was conducted in PubMed, Scopus, Cochrane Central Register of Controlled trials, and Embase for relevant studies published until August 10, 2023. The main outcomes were incidence and prevalence of CKD as well as incidence of end-stage kidney disease (ESKD). The random-effect model meta-analyses were used to estimate the risk of each outcome among studies. Twenty two studies were identified, including 14 cohort studies, and 8 cross-sectional studies, with a total of 7,967,388 participants. This meta-analysis revealed that each 10 μg/m3 increment in PM2.5 was significantly associated with increased risks of both incidence and prevalence of CKD [adjusted odds ratio (OR) 1.31 (95% confidence interval (CI) 1.24 to 1.40), adjusted OR 1.31 (95% CI 1.03 to 1.67), respectively]. In addition, the relationship with ESKD incidence is suggestive of increased risk but not conclusive (adjusted OR 1.16; 95% CI 1.00 to 1.36). The incidence and prevalence of CKD outcomes had a consistent association across all subgroups and adjustment variables. Our study observed an association between long-term PM2.5 exposure and the risks of CKD. However, more dedicated studies are required to show causation that warrants urgent action on PM2.5 to mitigate the global burden of CKD.
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Affiliation(s)
- Wannasit Wathanavasin
- Nephrology Unit, Department of Medicine, Charoenkrung Pracharak Hospital, Bangkok Metropolitan Administration, Bangkok, Thailand
| | - Athiphat Banjongjit
- Nephrology Unit, Department of Medicine, Vichaiyut Hospital, Bangkok, Thailand
| | - Jeerath Phannajit
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Division of Clinical Epidemiology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Center of Excellence for Metabolic Bone Disease in CKD Patients, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Somchai Eiam-Ong
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Paweena Susantitaphong
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
- Center of Excellence for Metabolic Bone Disease in CKD Patients, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
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22
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Kim J, Shim IK, Won SR, Hwang ES, Lee Y, Park S, Ryu J, Lee J. Indoor air quality and its determinants in underground shopping malls in Korea. Environ Int 2024; 183:108395. [PMID: 38118208 DOI: 10.1016/j.envint.2023.108395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/11/2023] [Accepted: 12/15/2023] [Indexed: 12/22/2023]
Abstract
Underground shopping malls (USMs) are often open or semi-open environments with interconnected passageways, resulting in the sharing of indoor air. However, indoor air quality (IAQ) within these spaces can vary due to many diverse emission sources. We investigated the relationships between IAQ and geographical areas, as well as IAQ and store types, within USMs, in Korea. In 2020, we studied 10 different USMs, with a total of 128 outlets. We conducted comprehensive IAQ assessments (including measurements of fine particles (PM2.5), aldehydes, and volatile organic compounds (VOCs)) in stores, passages, and outdoor areas. The stores were categorized into three types: clothing, fashion accessories, and food services. Additionally, we measured environmental factors such as CO2 levels and presence of storefront walls. PM2.5 levels were higher outdoors, whereas aldehyde and VOC levels exhibited elevations within passages and the interior of stores than in the outdoor environment. The store-to-passage ratios for PM2.5, individual aldehydes, and VOC concentrations ranged from 1.06 to 4.93. Formaldehyde and total VOC (TVOC) concentrations were found to be elevated in clothing and fashion accessory stores, whereas PM2.5 concentrations were more prominent in food service establishments. Specific individual compounds, including propionaldehyde, hexaldehyde, benzene, n-heptane, toluene, n-octane, xylene, d-limonene, n-undecane, n-dodecane, and ethylbenzene concentrations exhibited associations with store types. Multivariate regression models demonstrated positive associations between most aldehydes and VOCs with CO2 concentrations and presence of storefront walls. This study underscored variations within USMs based on area and store type. Aldehyde and VOC concentrations were notably higher in clothing and fashion accessory stores than in food service outlets; these elevations were closely linked to CO2 levels and presence of storefront walls. These findings suggest that monitoring CO2 levels within USM stores, optimizing air-conditioning systems, and designing future stores without storefront walls can collectively contribute to an overall improvement of IAQ within USMs.
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Affiliation(s)
- Jeonghoon Kim
- Indoor Environment and Noise Research Division, Environmental Infrastructure Research Department, National Institute of Environmental Research, Incheon, Republic of Korea.
| | - In-Keun Shim
- Indoor Environment and Noise Research Division, Environmental Infrastructure Research Department, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Soo Ran Won
- Department of Environmental Science and Engineering, University, Seoul, Republic of Korea
| | - Eun Seol Hwang
- Indoor Environment and Noise Research Division, Environmental Infrastructure Research Department, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Yumi Lee
- Indoor Environment and Noise Research Division, Environmental Infrastructure Research Department, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Sujung Park
- Indoor Environment and Noise Research Division, Environmental Infrastructure Research Department, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Jungmin Ryu
- Indoor Environment and Noise Research Division, Environmental Infrastructure Research Department, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Jongchun Lee
- Indoor Environment and Noise Research Division, Environmental Infrastructure Research Department, National Institute of Environmental Research, Incheon, Republic of Korea
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23
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Henning RJ. Particulate Matter Air Pollution is a Significant Risk Factor for Cardiovascular Disease. Curr Probl Cardiol 2024; 49:102094. [PMID: 37734693 DOI: 10.1016/j.cpcardiol.2023.102094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 09/23/2023]
Abstract
Air pollution is responsible worldwide for 9-12 million deaths annually. The major contributor to air pollution is particulate matter ≤2.5 µg per cubic meter of air (PM2.5) from vehicles, industrial emissions, and wildfire smoke. United States ambient air standards recommend annual average PM2.5 concentrations of ≤12 μg/m³ while European standards allow an average annual PM2.5 concentration of ≤20 μg/m3. However, significant PM2.5 cardiovascular and pulmonary health risks exist below these concentrations. Chronic PM2.5 exposure significantly increases major cardiovascular and pulmonary event risks in Americans by 8 to more than 20% for each 10-μg/m3 increase in PM2.5. PM2.5-induced increases in lipid peroxidation, induction of vascular inflammation and endothelial cell injury initiate and propagate respiratory diseases, coronary and carotid atherosclerosis. PM2.5 can cause atherosclerotic vascular plaque rupture and myocardial infarction and stroke by activating metalloproteinases. This article discusses PM2.5 effects on the cardiovascular and pulmonary systems, specific PM2.5 pathophysiologic mechanisms contributing to cardiopulmonary disease, and preventive measures to limit the cardiovascular and pulmonary effects of PM2.5.
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24
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Scussiatto HO, Wroblewski KE, Pagel KL, Schumm LP, McClintock MK, Ramanathan M, Suh HH, Pinto JM. Air pollution exposure is associated with rhinitis in older US adults via specific immune mechanisms. Int Forum Allergy Rhinol 2024; 14:68-77. [PMID: 37357822 DOI: 10.1002/alr.23225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/09/2023] [Accepted: 06/21/2023] [Indexed: 06/27/2023]
Abstract
BACKGROUND Pathophysiology of rhinitis in older adults is largely unknown. We tested whether air pollution is associated with this condition and how immune mechanisms may play a role in this relationship. METHODS We analyzed cross-sectional data from the National Social Life, Health, and Aging Project, a nationally representative study of older adults born between 1920 and 1947. Particulate matter ≤2.5 μm (PM2.5 ) air pollution exposure estimates were generated using validated spatiotemporal models. Presence of rhinitis was defined based on medication use (≥1: intranasal medications: steroids, antihistamines, lubricants, and/or decongestants, and/or oral medications: antihistamines and/or decongestants). K-means cluster analysis (Jaccard method) was used to group 13 peripheral blood cytokines into 3 clusters to facilitate functional determination. We fitted multivariate logistic regressions to correlate PM2.5 exposure with presence of rhinitis, controlling for confounders, and then determined the role of cytokines in this relationship. RESULTS Long- (but not short-) term exposure to PM2.5 was associated with presence of rhinitis: 3-year exposure window, odds ratio (OR) = 1.32, 95% confidence interval (CI): 0.98, 1.80, per 1 standard deviation (SD) PM2.5 increase. Inclusion of cytokine cluster in the model led to a modestly stronger effect of PM2.5 exposure on rhinitis (OR = 1.37; 95% CI: 1.00, 1.87; 3-year exposure window). The particular immune profile responsible for this result was composed of elevated IL-3, IL-12, and IFN-γ (OR = 4.86, 95% CI: 1.10, 21.58, immune profile-PM2.5 exposure interaction term). CONCLUSION We show for the first time that IL-3, IL-12, and IFN-γ explain in part the relationship between PM2.5 exposure and rhinitis in older US adults. If confirmed, these immune pathways may be used as therapeutic targets.
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Affiliation(s)
| | - Kristen E Wroblewski
- Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA
| | - Kristina L Pagel
- Department of Social and Behavioral Sciences, Colorado Mesa University, Grand Junction, Colorado, USA
| | - L Phillip Schumm
- Department of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA
| | - Martha K McClintock
- Department of Comparative Human Development, The University of Chicago, Chicago, Illinois, USA
| | - Murray Ramanathan
- Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Helen H Suh
- Department of Civil and Environmental Engineering, Tufts University, Boston, Massachusetts, USA
| | - Jayant M Pinto
- Section of Otolaryngology-Head and Neck Surgery, The University of Chicago, Chicago, Illinois, USA
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25
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Zeng H, Chen W, Li M, Shao Y, Li X, Zhang R, Jiang Y. Temporal analysis of lung injury induced by real-ambient PM 2 .5 exposure in mice. Environ Toxicol 2024; 39:377-387. [PMID: 37782690 DOI: 10.1002/tox.23985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 08/19/2023] [Accepted: 09/18/2023] [Indexed: 10/04/2023]
Abstract
Fine particulate matter (PM2.5 ) has been shown to induce lung injury. However, the pathophysiological mechanisms of PM2.5 -induced pulmonary injury after different exposure times are poorly understood. In this study, we exposed male ICR mice to a whole-body PM2.5 inhalation system at daily mean concentration range from 92.00 to 862.00 μg/m3 for 30, 60, and 90 days. We found that following prolonged exposure to PM2.5 , pulmonary injury was increasingly evident with significant histopathological alterations. Notably, the pulmonary inflammatory response and fibrosis caused by PM2.5 after different exposure times were closely associated with histopathological changes. In addition, PM2.5 exposure caused oxidative stress, DNA damage and impairment of DNA repair in a time-dependent manner in the lung. Importantly, exposure to PM2.5 eventually caused apoptosis in the lung through upregulation of cleaved-caspase-3 and downregulation of Bcl-2. Overall, our data demonstrated that PM2.5 led to pulmonary injury in a time-dependent manner via upregulation of proinflammatory and fibrosis-related genes, and activation of the DNA damage response. Our findings provided a novel perspective on the pathophysiology of respiratory diseases caused by airborne pollution.
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Affiliation(s)
- Huixian Zeng
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, China
| | - Wei Chen
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, China
| | - Meizhen Li
- Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, China
| | - Yueting Shao
- Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, China
| | - Xun Li
- Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, China
| | - Rong Zhang
- Department of Toxicology, School of Public Health, Hebei Medical University, Shijiazhuang, China
| | - Yiguo Jiang
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, China
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Zhang J, Li W, Li H, Liu W, Li L, Liu X. Selenium-Enriched Soybean Peptides as Novel Organic Selenium Compound Supplements: Inhibition of Occupational Air Pollution Exposure-Induced Apoptosis in Lung Epithelial Cells. Nutrients 2023; 16:71. [PMID: 38201901 PMCID: PMC10780830 DOI: 10.3390/nu16010071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 12/11/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
The occupational groups exposed to air pollutants, particularly PM2.5, are closely linked to the initiation and advancement of respiratory disorders. The aim of this study is to investigate the potential protective properties of selenium-enriched soybean peptides (Se-SPeps), a novel Se supplement, in mitigating apoptosis triggered by PM2.5 in A549 lung epithelial cells. The results indicate a concentration-dependent reduction in the viability of A549 cells caused by PM2.5, while Se-SPeps at concentrations of 62.5-500 µg/mL showed no significant effect. Additionally, the Se-SPeps reduced the production of ROS, proinflammatory cytokines, and apoptosis in response to PM2.5 exposure. The Se-SPeps suppressed the PM2.5-induced upregulation of Bax/Bcl-2 and caspase-3, while also restoring reductions in p-Akt in A549 cells. The antiapoptotic effects of Se-SPeps have been found to be more effective compared to SPeps, SeMet, and Na2SeO3 when evaluated at an equivalent protein or Se concentration. Our study results furnish evidence that supports the role of Se-SPeps in reducing the harmful effects of PM2.5, particularly in relation to its effect on apoptosis, oxidative stress, and inflammation.
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Affiliation(s)
- Jian Zhang
- National Soybean Processing Industry Technology Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (J.Z.); (W.L.); (W.L.); (L.L.); (X.L.)
- Department of Nutrition and Health, China Agricultural University, Beijing 100193, China
| | - Wenhui Li
- National Soybean Processing Industry Technology Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (J.Z.); (W.L.); (W.L.); (L.L.); (X.L.)
| | - He Li
- National Soybean Processing Industry Technology Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (J.Z.); (W.L.); (W.L.); (L.L.); (X.L.)
- Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China
| | - Wanlu Liu
- National Soybean Processing Industry Technology Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (J.Z.); (W.L.); (W.L.); (L.L.); (X.L.)
| | - Lu Li
- National Soybean Processing Industry Technology Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (J.Z.); (W.L.); (W.L.); (L.L.); (X.L.)
| | - Xinqi Liu
- National Soybean Processing Industry Technology Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (J.Z.); (W.L.); (W.L.); (L.L.); (X.L.)
- Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology and Business University, Beijing 100048, China
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27
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Arregocés HA, Bonivento GJ, Ladino LA, Beristain-Montiel E, Restrepo G, Miranda J, Alvarez-Ospina H, Rojano R. Human health risk assessment of PM 10-bound heavy metals and PAHs around the Latin America's Largest opencast coal mine. Environ Sci Pollut Res Int 2023; 30:125915-125930. [PMID: 38008845 PMCID: PMC10754741 DOI: 10.1007/s11356-023-30787-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 10/27/2023] [Indexed: 11/28/2023]
Abstract
Air pollution in opencast coal mine areas is a critical issue, resulting in harmful severe effects on human health. Therefore, it is essential to understand the air pollution factors and to assess the risks to humans. This study evaluated the potential risks (carcinogen and non-carcinogen) of inhalation exposure to PM10-bound heavy metals and Polycyclic Aromatic Hydrocarbons (PAHs) in an open pit mine in northern Colombia. During February-May 2022, PM10 samples were collected at eight sites. Heavy metals (i.e., Al, Cr(VI), Mn, Cu, Zn, As, Pb) and PAHs (thirteen priority PAHs, and one non-priority PAH) levels linked to PM10 were analyzed by X-ray fluorescence and gas chromatography-mass spectrometry, respectively. PM10 concentrations were found to range between 4.70 and 59.90 µg m-3. Out of the three different zones of the study area (i.e., North Zone, South Zone, and Populated Zone), the North Zone recorded the highest daily average concentrations of Cr(VI) (104.16 ng m-3), Mn (28.39 ng m-3), Cu (33.75 ng m-3), Zn (57.99 ng m-3), As (44.92 ng m-3), and Pb (27.13 ng m-3). The fraction of the analyzed heavy metals at all monitoring sites was 82%-89% for Al, followed by Cr(VI) with 3%-6%. Cr(VI) was the major contributor to the carcinogenic risk values, while Cu, Cr(VI), and As were the main drivers for the non-carcinogenic risk. The average cancer risk range for heavy metals was 3.30 × 10-04 -5.47 × 10-04. On the other hand, the cancer risk for PAHs exposure was acceptable. The average incremental lifetime cancer risk (ILCR) values varied between 2.87 × 10-07 and 4.21 × 10-07. Benzo[a]pyrene contributed to 54%-56% of the total risk from inhalation of PM10-bound PAHs, while Indeno[1,2,3-cd]pyrene contributed to 16%-19%. Based on the Monte Carlo sensitivity analysis, exposure to Cr(VI) was the main factor affecting cancer risk in the North, South, and Populated Zones. A suitable risk assessment and management plan requires understanding PM10-bound heavy metals and PAHs concentration levels as well as their potential health risks, mainly in open-cast coal mine zones. Our study found that people living near open-pit mines face potential health risks, so it is crucial to establish policies and regulations to control emission sources.
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Affiliation(s)
- Heli A Arregocés
- Grupo de Investigación GISA, Facultad de Ingeniería, Universidad de La Guajira, Riohacha, Colombia.
- Grupo Procesos Fisicoquímicos Aplicados, Facultad de Ingeniería, Universidad de Antioquia SIU/UdeA, Calle 70 No. 52-21, Medellín, Colombia.
| | - Guillermo J Bonivento
- Grupo de Investigación GISA, Facultad de Ingeniería, Universidad de La Guajira, Riohacha, Colombia
- Grupo de Investigación ZENTECH, Facultad de Ingeniería, Pontificia Universidad Javeriana, Cra 7 No. 40-62, Bogotá, Colombia
| | - Luis A Ladino
- Instituto de Ciencias de La Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, Mexico City, México
| | | | - Gloria Restrepo
- Grupo Procesos Fisicoquímicos Aplicados, Facultad de Ingeniería, Universidad de Antioquia SIU/UdeA, Calle 70 No. 52-21, Medellín, Colombia
| | - Javier Miranda
- Instituto de Física, Universidad Nacional Autónoma de México, Mexico City, México
| | - Harry Alvarez-Ospina
- Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, México
| | - Roberto Rojano
- Grupo de Investigación GISA, Facultad de Ingeniería, Universidad de La Guajira, Riohacha, Colombia
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Abed Al Ahad M, Demšar U, Sullivan F, Kulu H. Long-term exposure to air pollution and mortality in Scotland: A register-based individual-level longitudinal study. Environ Res 2023; 238:117223. [PMID: 37793592 DOI: 10.1016/j.envres.2023.117223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/16/2023] [Accepted: 09/19/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND Air pollution is associated with several adverse health outcomes. However, heterogeneity in the size of effect estimates between cohort studies for long-term exposures exist and pollutants like SO2 and mental/behavioural health outcomes are little studied. This study examines the association between long-term exposure to multiple ambient air pollutants and all-cause and cause-specific mortality from both physical and mental illnesses. METHODS We used individual-level administrative data from the Scottish-Longitudinal-Study (SLS) on 202,237 individuals aged 17 and older, followed between 2002 and 2017. The SLS dataset was linked to annual concentrations of NO2, SO2, and particulate-matter (PM10, PM2.5) pollution at 1 km2 spatial resolution using the individuals' residential postcode. We applied survival analysis to assess the association between air pollution and all-cause, cardiovascular, respiratory, cancer, mental/behavioural disorders/suicides, and other-causes mortality. RESULTS Higher all-cause mortality was associated with increasing concentrations of PM2.5, PM10, NO2, and SO2 pollutants. NO2, PM10, and PM2.5 were also associated with cardiovascular, respiratory, cancer and other-causes mortality. For example, the mortality hazard from respiratory diseases was 1.062 (95%CI = 1.028-1.096), 1.025 (95%CI = 1.005-1.045), and 1.013 (95%CI = 1.007-1.020) per 1 μg/m3 increase in PM2.5, PM10 and NO2 pollutants, respectively. In contrast, mortality from mental and behavioural disorders was associated with 1 μg/m3 higher exposure to SO2 pollutant (HR = 1.042; 95%CI = 1.015-1.069). CONCLUSION This study revealed an association between long-term (16-years) exposure to ambient air pollution and all-cause and cause-specific mortality. The results suggest that policies and interventions to enhance air quality would reduce the mortality hazard from cardio-respiratory, cancer, and mental/behavioural disorders in the long-term.
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Affiliation(s)
- Mary Abed Al Ahad
- School of Geography and Sustainable Development, University of St Andrews, Scotland, United Kingdom.
| | - Urška Demšar
- School of Geography and Sustainable Development, University of St Andrews, Scotland, United Kingdom
| | - Frank Sullivan
- School of Medicine, University of St Andrews, Scotland, United Kingdom
| | - Hill Kulu
- School of Geography and Sustainable Development, University of St Andrews, Scotland, United Kingdom
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Li Y, Tang D, Zhang J, Ou W, Sun X, Yang Q, Wu J. LncRNA SPRY4-IT1 regulates 16HBE cell malignant transformation induced by particulate matter through DUSP6-ERK1/2-Chk1 signaling pathway. Chemosphere 2023; 344:140358. [PMID: 37797900 DOI: 10.1016/j.chemosphere.2023.140358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 09/16/2023] [Accepted: 10/02/2023] [Indexed: 10/07/2023]
Abstract
Particulate matter (PM), one of the most serious air contaminants, could easily pass through the airway and deposit at the deep alveoli. Thus, it might trigger respiratory diseases like inflammation, asthma and lung cancer on human. Long non-coding RNAs (lncRNAs) are considered as important regulator in promotion and progression of diverse cancers. However, the molecular mechanism of lncRNAs mediating PM-induced lung carcinogenesis remains unclear. In this study, we established a 16HBE malignant transformed cell induced by PM (Cells were treated with 20 μg/ml PM, which named PM-T cells) and explored the roles and mechanisms of lncRNAs in the malignant transformation induced by PM. Compared with 16HBE cells, various biological functions were changed in PM-T cells, such as cell proliferation, migration, cell cycle and apoptosis. LncRNA SPRY4-IT1 was significant down-regulated expression and associated with these biological effects. Our results showed that lncRNA SPRY4-IT1 overexpression reversed these functional changes mentioned above. The further studies indicated that lncRNA SPRY4-IT1 involved in PM-induced cell transformation by modulating Chk1 expression via negative regulation of DUSP6-ERK1/2. In conclusion, our studies suggested that lncRNA SPRY4-IT1 played the role as a tumor suppressor gene and might mediate 16HBE cells malignant transformation induced by PM through regulating DUSP6-ERK1/2-Chk1 signaling pathway.
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Affiliation(s)
- Yanli Li
- State Key Laboratory of Respiratory Disease, Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, 511436, PR China.
| | - Dan Tang
- State Key Laboratory of Respiratory Disease, Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, 511436, PR China.
| | - Jian Zhang
- State Key Laboratory of Respiratory Disease, Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, 511436, PR China.
| | - Wanting Ou
- State Key Laboratory of Respiratory Disease, Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, 511436, PR China.
| | - Xuan Sun
- State Key Laboratory of Respiratory Disease, Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, 511436, PR China.
| | - Qiaoyuan Yang
- State Key Laboratory of Respiratory Disease, Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, 511436, PR China.
| | - Jianjun Wu
- State Key Laboratory of Respiratory Disease, Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, 511436, PR China.
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30
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Abrham Y, Zeng S, Tenney R, Davidson C, Yao E, Kloth C, Dalton S, Arjomandi M. Effect of a single one-hour teaching session about environmental pollutants and climate change on the understanding and behavioral choices of adolescents: The BREATHE pilot randomized controlled trial. PLoS One 2023; 18:e0291199. [PMID: 38011223 PMCID: PMC10681291 DOI: 10.1371/journal.pone.0291199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 09/19/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Despite the wealth of scientific information on the health effects of air pollution, the adult public's lifestyle continues to be largely detrimental towards the environment. OBJECTIVE The purpose of the study was to determine whether a short interactive teaching session on air pollution could shift reported behavioral choices of adolescents towards environmentally friendlier options. METHODS We performed a pilot randomized control trial in which eighth-grade students were randomized to receive a one-hour script-based teaching on either the effects of air pollution on lung health (intervention group) or the role of vaccination in public health (active control group). The enrolled students completed a survey (15 multiple-choice questions; five targeting understanding (score range 5 to 20); ten targeting behavioral choices (score range 10 to 38) newly designed for this study to evaluate their understanding and predict their future behavior towards air pollution immediately before, immediately after, and one month after the teaching sessions. RESULTS Seventy-seven students (age = 13.5±0.6 years; 50.4% female; median annual family income = $25K-$50K with 70.1% <$50K; 39 assigned to intervention group) were enrolled in the study. The teaching sessions did not result in any significant change in the participants' understanding domain scores in either the intervention or the control groups. However, the intervention (air pollution) teaching session resulted in a statistically significant increase in behavior domain score from baseline to immediately post-teaching, which continued to be present at one-month follow-up (mean ± standard deviation of score change immediately after = 1.7±3.3; score change 1-month after = 2.5±3.2; P<0.001; minimally important difference = 1.0). DISCUSSION This pilot study highlights the potential of a short one-time teaching session in promoting environmentally friendly behavior choices among adolescents.
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Affiliation(s)
- Yorusaliem Abrham
- Medical Service, San Francisco Veterans Affairs Health Care System, San Francisco, San Francisco, California, United States of America
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Siyang Zeng
- Medical Service, San Francisco Veterans Affairs Health Care System, San Francisco, San Francisco, California, United States of America
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, United States of America
| | - Rachel Tenney
- Medical Service, San Francisco Veterans Affairs Health Care System, San Francisco, San Francisco, California, United States of America
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
- Department of Medicine, Weil Cornell University Medical Center, New York, New York, United States of America
| | - Caroline Davidson
- Medical Service, San Francisco Veterans Affairs Health Care System, San Francisco, San Francisco, California, United States of America
- National Council for Mental Wellbeing, New York, New York, United States of America
| | - Emily Yao
- Medical Service, San Francisco Veterans Affairs Health Care System, San Francisco, San Francisco, California, United States of America
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Chantal Kloth
- Medical Service, San Francisco Veterans Affairs Health Care System, San Francisco, San Francisco, California, United States of America
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Sarah Dalton
- Medical Service, San Francisco Veterans Affairs Health Care System, San Francisco, San Francisco, California, United States of America
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Mehrdad Arjomandi
- Medical Service, San Francisco Veterans Affairs Health Care System, San Francisco, San Francisco, California, United States of America
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
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31
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Liu Y, Wang Y, Zhang R, Wang S, Li J, An Z, Song J, Wu W. Transcriptomics profile of human bronchial epithelial cells exposed to ambient fine particles and influenza virus (H3N2). Sci Rep 2023; 13:19259. [PMID: 37935887 PMCID: PMC10630401 DOI: 10.1038/s41598-023-46724-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 11/04/2023] [Indexed: 11/09/2023] Open
Abstract
Fine particulate matter (PM2.5) pollution remains a major threat to public health. As the physical barrier against inhaled air pollutants, airway epithelium is a primary target for PM2.5 and influenza viruses, two major environmental insults. Recent studies have shown that PM2.5 and influenza viruses may interact to aggravate airway inflammation, an essential event in the pathogenesis of diverse pulmonary diseases. Airway epithelium plays a critical role in lung health and disorders. Thus far, the mechanisms for the interactive effect of PM2.5 and the influenza virus on gene transcription of airway epithelial cells have not been fully uncovered. In this present pilot study, the transcriptome sequencing approach was introduced to identify responsive genes following individual and co-exposure to PM2.5 and influenza A (H3N2) viruses in a human bronchial epithelial cell line (BEAS-2B). Enrichment analysis revealed the function of differentially expressed genes (DEGs). Specifically, the DEGs enriched in the xenobiotic metabolism by the cytochrome P450 pathway were linked to PM2.5 exposure. In contrast, the DEGs enriched in environmental information processing and human diseases, such as viral protein interaction with cytokines and cytokine receptors and epithelial cell signaling in bacterial infection, were significantly related to H3N2 exposure. Meanwhile, co-exposure to PM2.5 and H3N2 affected G protein-coupled receptors on the cell surface. Thus, the results from this study provides insights into PM2.5- and influenza virus-induced airway inflammation and potential mechanisms.
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Affiliation(s)
- Yuan Liu
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Yinbiao Wang
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Rui Zhang
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Shaolan Wang
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Juan Li
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Zhen An
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Jie Song
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Weidong Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China.
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Hong J, Tan Y, Wang Y, Wang H, Li C, Jin W, Wu Y, Ni D, Peng X. Mechanism of Interaction between hsa_circ_0002854 and MAPK1 Protein in PM 2.5-Induced Apoptosis of Human Bronchial Epithelial Cells. Toxics 2023; 11:906. [PMID: 37999558 PMCID: PMC10674430 DOI: 10.3390/toxics11110906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/28/2023] [Accepted: 10/30/2023] [Indexed: 11/25/2023]
Abstract
Fine particulate matter (PM2.5) pollution increases the risk of respiratory diseases and death, and apoptosis is an important factor in the occurrence of respiratory diseases caused by PM2.5 exposure. In addition, circular RNAs (circRNAs) can interact with proteins and widely participate in physiological and pathological processes in the body. The aim of this study was to investigate the mechanism of circRNA and protein interaction on PM2.5-induced apoptosis of human bronchial epithelial cells (16HBE) in vitro. In this study, we exposed human bronchial epithelial cells to a PM2.5 suspension with different concentration gradients for 24 h. The results showed that apoptosis of 16HBE cells after PM2.5 treatment was accompanied by cell proliferation. After exposure of PM2.5 to 16HBE cells, circRNAs related to apoptosis were abnormally expressed. We further found that the expression of hsa_circ_0002854 increased with the increase in exposure concentration. Functional analysis showed that knocking down the expression of hsa_circ_0002854 could inhibit apoptosis induced by PM2.5 exposure. We then found that hsa_circ_0002854 could interact with MAPK1 protein and inhibit MAPK1 phosphorylation, thus promoting apoptosis. Our results suggest that hsa_circ_0002854 can promote 16HBE apoptosis due to PM2.5 exposure, which may provide a gene therapy target and scientific basis for PM2.5-induced respiratory diseases.
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Affiliation(s)
- Jinchang Hong
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510535, China; (J.H.); (Y.T.); (Y.W.)
- School of Public Health, China Medical University, Shenyang 110122, China
| | - Yi Tan
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510535, China; (J.H.); (Y.T.); (Y.W.)
| | - Yuyu Wang
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510535, China; (J.H.); (Y.T.); (Y.W.)
| | - Hongjie Wang
- School of Public Health, China Medical University, Shenyang 110122, China
| | - Caixia Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510535, China; (J.H.); (Y.T.); (Y.W.)
| | - Wenjia Jin
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510535, China; (J.H.); (Y.T.); (Y.W.)
| | - Yi Wu
- School of Public Health, China Medical University, Shenyang 110122, China
| | - Dechun Ni
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510535, China; (J.H.); (Y.T.); (Y.W.)
| | - Xiaowu Peng
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510535, China; (J.H.); (Y.T.); (Y.W.)
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Park YJ, Heo J, Kim Y, Cho H, Shim M, Im K, Lim W. Glucocorticoids alleviate particulate matter-induced COX-2 expression and mitochondrial dysfunction through the Bcl-2/GR complex in A549 cells. Sci Rep 2023; 13:18884. [PMID: 37919369 PMCID: PMC10622527 DOI: 10.1038/s41598-023-46257-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 10/30/2023] [Indexed: 11/04/2023] Open
Abstract
Exposure to particulate matter (PM) causes mitochondrial dysfunction and lung inflammation. The cyclooxygenase-2 (COX-2) pathway is important for inflammation and mitochondrial function. However, the mechanisms by which glucocorticoid receptors (GRs) suppress COX-2 expression during PM exposure have not been elucidated yet. Hence, we examined the mechanisms underlying the dexamethasone-mediated suppression of the PM-induced COX-2/prostaglandin E2 (PGE2) pathway in A549 cells. The PM-induced increase in COX-2 protein, mRNA, and promoter activity was suppressed by glucocorticoids; this effect of glucocorticoids was antagonized by the GR antagonist RU486. COX-2 induction was correlated with the ability of PM to increase reactive oxygen species (ROS) levels. Consistent with this, antioxidant treatment significantly abolished COX-2 induction, suggesting that ROS is involved in PM-mediated COX-2 induction. We also observed a low mitochondrial membrane potential in PM-treated A549 cells, which was reversed by dexamethasone. Moreover, glucocorticoids significantly enhanced Bcl-2/GR complex formation in PM-treated A549 cells. Glucocorticoids regulate the PM-exposed induction of COX-2 expression and mitochondrial dysfunction and increase the interaction between GR and Bcl-2. These findings suggest that the COX-2/PGE2 pathway and the interaction between GR and Bcl-2 are potential key therapeutic targets for the suppression of inflammation under PM exposure.
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Affiliation(s)
- Yeon-Ji Park
- Department of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon, Republic of Korea
- Department of Biomedical Sciences, Graduate School of Ajou University, Suwon, Republic of Korea
| | - June Heo
- Department of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon, Republic of Korea
- Department of Biomedical Sciences, Graduate School of Ajou University, Suwon, Republic of Korea
| | - Yonghyeon Kim
- Department of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon, Republic of Korea
- Department of Biomedical Sciences, Graduate School of Ajou University, Suwon, Republic of Korea
| | - Hyeseong Cho
- Department of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon, Republic of Korea
- Department of Biomedical Sciences, Graduate School of Ajou University, Suwon, Republic of Korea
| | - Myeongkuk Shim
- BL Healthcare, Yongin-si, Gyeonggi-do, 16827, South Korea
| | - Kyunghyun Im
- BL Healthcare, Yongin-si, Gyeonggi-do, 16827, South Korea
| | - Wonchung Lim
- Department of Sports Medicine, College of Health Science, Cheongju University, Cheongju, 28503, South Korea.
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Liu CS, Wei Y, Danesh Yazdi M, Qiu X, Castro E, Zhu Q, Li L, Koutrakis P, Ekenga CC, Shi L, Schwartz JD. Long-term association of air pollution and incidence of lung cancer among older Americans: A national study in the Medicare cohort. Environ Int 2023; 181:108266. [PMID: 37847981 PMCID: PMC10691920 DOI: 10.1016/j.envint.2023.108266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 10/03/2023] [Accepted: 10/12/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND Despite strong evidence of the association of fine particulate matter (PM2.5) exposure with an increased risk of lung cancer mortality, few studies had investigated associations of multiple pollutants simultaneously, or with incidence, or using causal methods. Disparities were also understudied. OBJECTIVES We investigated long-term effects of PM2.5, nitrogen dioxide (NO2), warm-season ozone, and particle radioactivity (PR) exposures on lung cancer incidence in a nationwide cohort. METHODS We conducted a cohort study with Medicare beneficiaries (aged ≥ 65 years) continuously enrolled in the fee-for-service program in the contiguous US from 2001 to 2016. Air pollution exposure was averaged across three years and assigned based on ZIP code of residence. We fitted Cox proportional hazards models to estimate the hazard ratio (HR) for lung cancer incidence, adjusted for individual- and neighborhood-level confounders. As a sensitivity analysis, we evaluated the causal relationships using inverse probability weights. We further assessed effect modifications by individual- and neighborhood-level covariates. RESULTS We identified 166,860 lung cancer cases of 12,429,951 studied beneficiaries. In the multi-pollutant model, PM2.5 and NO2 exposures were statistically significantly associated with increased lung cancer incidence, while PR was marginally significantly associated. Specifically, the HR was 1.008 (95% confidence interval [CI]: 1.005, 1.011) per 1-μg/m3 increase in PM2.5, 1.013 (95% CI: 1.012, 1.013) per 1-ppb increase in NO2, and 1.005 (0.999, 1.012) per 1-mBq/m3 increase in PR. At low exposure levels, all pollutants were associated with increased lung cancer incidence. Men, older individuals, Blacks, and residents of low-income neighborhoods experienced larger effects of PM2.5 and PR. DISCUSSION Long-term PM2.5, NO2, and PR exposures were independently associated with increased lung cancer incidence among the national elderly population. Low-exposure analysis indicated that current national standards for PM2.5 and NO2 were not restrictive enough to protect public health, underscoring the need for more stringent air quality regulations.
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Affiliation(s)
- Cristina Su Liu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA.
| | - Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA; Program in Public Health, Department of Family, Population and Preventive Medicine, Stony Brook University, 101 Nicolls Road Health Sciences Center, Stony Brook, NY 11794, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Edgar Castro
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Qiao Zhu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd. NE, Atlanta, GA 30322, USA
| | - Longxiang Li
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Christine C Ekenga
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd. NE, Atlanta, GA 30322, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Rd. NE, Atlanta, GA 30322, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
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Zhang J, Feng L, Liu Z, Chen L, Gu Q. Source apportionment of heavy metals in PM 2.5 samples and effects of heavy metals on hypertension among schoolchildren in Tianjin. Environ Geochem Health 2023; 45:8451-8472. [PMID: 37639041 DOI: 10.1007/s10653-023-01689-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 07/11/2023] [Indexed: 08/29/2023]
Abstract
The prevalence of hypertension in children has increased significantly in recent years in China. The aim of this study was to provide scientific support to control ambient heavy metals (HMs) pollution and prevent childhood hypertension. In this study, ambient HMs in PM2.5 were collected, and 1339 students from Tianjin were randomly selected. Positive matrix factorization (PMF) was used to identify and determine the sources of HMs pollution. The generalized linear model, Bayesian kernel machine regression (BKMR) and the quantile g-computation method were used to analyze the relationships between exposure to HMs and the risk of childhood hypertension. The results showed that HMs in PM2.5 mainly came from four sources: soil dust, coal combustion, incineration of municipal waste and the metallurgical industry. The positive relationships between As, Se and Pb exposures and childhood hypertension risk were found. Coal combustion and incineration of municipal waste were important sources of HMs in the occurrence of childhood hypertension. Based on these accomplishments, this study could provide guidelines for the government and individuals to alleviate the damaging effects of HMs in PM2.5. The government must implement policies to control prime sources of HMs pollution.
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Affiliation(s)
- Jingwei Zhang
- Department of Environmental Health and School Hygiene, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China
| | - Lihong Feng
- Department of Environmental Health and School Hygiene, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China
| | - Zhonghui Liu
- Department of Environmental Health and School Hygiene, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China
| | - Lu Chen
- Department of Environmental Health and School Hygiene, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China
| | - Qing Gu
- Department of Environmental Health and School Hygiene, Tianjin Centers for Disease Control and Prevention, No.6 Huayue Rd, Tianjin, China.
- School of Public Health, Tianjin Medical University, No.22 Qixiangtai Rd, Tianjin, China.
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36
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Kang J, Kim HC, Jang Y, Lee JB, Lee JS, Oh YM, Ji HW, Jung JY, Lee SW. Randomised controlled trial of a behavioural intervention to reduce exposure to PM 2.5 in patients with COPD. Environ Int 2023; 181:108286. [PMID: 37918066 DOI: 10.1016/j.envint.2023.108286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 09/22/2023] [Accepted: 10/22/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Fine particulate matter (PM2.5) is a well-known risk factor for worse outcomes of chronic obstructive pulmonary disease (COPD). However, evidence-based guidance on effective personal behavioural strategies to minimise the effects of PM2.5 is limited. This study aimed to assess the effectiveness of a behavioural intervention in reducing PM2.5 exposure and improving clinical outcomes in patients with COPD. MATERIALS AND METHODS Participants were 1:1 randomised, and the intervention group received a behavioural intervention consisting of five activities, while the control group received usual care. The participants were followed up for 9 months. The primary outcomes were differences in the score of St. George's Respiratory Questionnaire for patients with COPD (SGRQ-C) and COPD assessment test (CAT) from baseline. RESULTS A total of 106 participants were enrolled and 102 completed the study. At the end of the study, the intervention group showed significant improvements in the primary outcomes compared to the control group, with a group difference of -5.9 in the reduction of total SGRQ-C (-3.4 vs. 2.5; p = 0.049) and -3.8 in the CAT score (-1.2 vs. 2.7; p = 0.001). Participants with good adherence to the intervention demonstrated a greater extent of improvement in CAT score and lower PM2.5 levels compared to those who had poor adherence or were in the control group. Regular checking of air quality forecasts was significantly associated with a reduction in CAT scores among all the intervention activities. CONCLUSION Individual-level behavioural interventions can be an effective strategy for mitigating the health hazards associated with PM2.5. CLINICALTRIALS gov Identifier: NCT04878367.
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Affiliation(s)
- Jieun Kang
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Republic of Korea
| | - Hwan-Cheol Kim
- Department of Occupational and Environmental Medicine, Inha University College of Medicine, Incheon, Republic of Korea
| | - Youngwon Jang
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jung Bok Lee
- Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, Seoul, Republic of Korea
| | - Jae Seung Lee
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Yeon-Mok Oh
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hyun Woo Ji
- Division of Pulmonology, Department of Internal Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea
| | - Ji Ye Jung
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Sei Won Lee
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
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Li Y, Fan Z, Lu W, Xu R, Liu T, Liu L, Chen G, Lv Z, Huang S, Zhou Y, Liu Y, Sun H. Long-term exposure to ambient fine particulate matter-bound polycyclic aromatic hydrocarbons and cancer mortality: A difference-in-differences approach. Chemosphere 2023; 340:139800. [PMID: 37572709 DOI: 10.1016/j.chemosphere.2023.139800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/19/2023] [Accepted: 08/10/2023] [Indexed: 08/14/2023]
Abstract
The association of ambient fine particulate matter (PM2.5) exposure with cancer mortality was controversial, which may ascribe to the difference in PM2.5 constituents. Polycyclic aromatic hydrocarbons (PAHs) are carcinogenic constituents in PM2.5, which are suspected to account for PM2.5-induced cancer mortality but are yet to be investigated. We aimed to assess the association between long-term exposure to PM2.5-bound PAHs and cancer mortality and estimate the attributable mortality. A difference-in-differences approach was used to investigate the causal effect of long-term exposure to PM2.5-bound PAHs on cancer mortality. We divided Jiangsu province, China into 53 spatial units and summarized the annual number of cancer deaths in each spatial unit during 2016-2020. Annual population-weighted exposure to PM2.5-bound PAHs of each spatial unit was assessed by an inverse distance weighting method. The association between PM2.5-bound PAHs exposures and cancer mortality was evaluated by controlling spatial differences, temporal trends, PM2.5 mass exposures, temperatures, and socioeconomic status. Records of 793,269 cancer deaths were identified among 84.7 million population. Each ln-unit increase of exposure to total benzo[a]pyrene equivalents (∑BaPeq), total carcinogenic PAHs (∑PAH7c), and total PAHs (∑PAHs) was significantly associated with a 3.21%, 3.48%, and 2.64% increased risk of cancer mortality, respectively; the risk increased monotonically at low-level exposures but attenuated or flattened afterward (all p for nonlinearity <0.05). Similar exposure-response associations were identified for specific PAHs except that the associations for both fluoranthene and benzo[a]anthracene were linear. We estimated that exposure to ∑BaPeq, ∑PAH7c, and ∑PAHs contributed to 5.73%, 8.73%, and 7.33% of cancer deaths, respectively. In conclusion, long-term exposure to PM2.5-bound PAHs was associated with an increased risk of cancer mortality and contributed to substantial cancer deaths. Our findings highlight the importance to prevent deaths from cancer by reducing PM2.5-bound PAHs exposures and the necessity to take into consideration specific constituents in particulate pollution management in future.
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Affiliation(s)
- Yingxin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhaoyu Fan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wenfeng Lu
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Tingting Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Likun Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Ziquan Lv
- Central Laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Suli Huang
- Department of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
| | - Yun Zhou
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Hong Sun
- Department of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
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Xu X, Zhang W, Shi X, Su Z, Cheng W, Wei Y, Ma H, Li T, Wang Z. China's air quality improvement strategy may already be having a positive effect: evidence based on health risk assessment. Front Public Health 2023; 11:1250572. [PMID: 37927881 PMCID: PMC10624126 DOI: 10.3389/fpubh.2023.1250572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 09/15/2023] [Indexed: 11/07/2023] Open
Abstract
Aiming to investigate the health risk impact of PM2.5 pollution on a heavily populated province of China. The exposure response function was used to assess the health risk of PM2.5 pollution. Results shows that the total number of premature deaths and diseases related to PM2.5 pollution in Shandong might reach 159.8 thousand people based on the new WHO (2021) standards. The health effects of PM2.5 pollution were more severe in men than in women. Five of the 16 cities in Shandong had higher health risks caused by PM2.5 pollution, including LinYi, HeZe, JiNing, JiNan, and WeiFang. PM2.5 pollution resulted in nearly 7.4 billions dollars in healthy economic cost, which accounted for 0.57% of GDP in Shandong in 2021. HeZe, LiaoCheng, ZaoZhuang, and LinYi were the cities where the health economic loss was more than 1% of the local GDP, accounted for 1.30, 1.26, 1.08, and 1.04%. Although the more rigorous assessment criteria, the baseline concentration was lowered by 30 μg/m3 compared to our previous study, there was no significant increase in health risks and economic losses. China's air quality improvement strategy may already be having a positive effect.
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Affiliation(s)
- Xianmang Xu
- Heze Branch, Biological Engineering Technology Innovation Center of Shandong Province, Qilu University of Technology (Shandong Academy of Sciences), Heze, China
- Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai, China
| | - Wen Zhang
- Department of Clinical Medicine, Heze Medical College, Heze, China
| | - Xiaofeng Shi
- Department of Clinical Medicine, Heze Medical College, Heze, China
| | - Zhi Su
- Heze Ecological Environment Monitoring Center of Shandong Province, Heze, China
| | - Wei Cheng
- Heze Branch, Biological Engineering Technology Innovation Center of Shandong Province, Qilu University of Technology (Shandong Academy of Sciences), Heze, China
| | - Yinuo Wei
- Heze Branch, Biological Engineering Technology Innovation Center of Shandong Province, Qilu University of Technology (Shandong Academy of Sciences), Heze, China
| | - He Ma
- Heze Branch, Biological Engineering Technology Innovation Center of Shandong Province, Qilu University of Technology (Shandong Academy of Sciences), Heze, China
| | - Tinglong Li
- Heze Branch, Biological Engineering Technology Innovation Center of Shandong Province, Qilu University of Technology (Shandong Academy of Sciences), Heze, China
| | - Zhenhua Wang
- Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
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Ben Rayana T, Wild P, Debatisse A, Jouannique V, Sakthithasan K, Suarez G, Guseva Canu I. Job Exposure Matrix, a Solution for Retrospective Assessment of Particle Exposure in a Subway Network and Their Long-Term Effects. Toxics 2023; 11:836. [PMID: 37888686 PMCID: PMC10610788 DOI: 10.3390/toxics11100836] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 09/26/2023] [Accepted: 09/29/2023] [Indexed: 10/28/2023]
Abstract
INTRODUCTION Health effects after long-term exposure to subway particulate matter (PM) remain unknown due to the lack of individual PM exposure data. This study aimed to apply the job exposure matrix (JEM) approach to retrospectively assess occupational exposure to PM in the Parisian subway. METHODS Job, the line and sector of the transport network, as well as calendar period were four JEM dimensions. For each combination of these dimensions, we generated statistical models to estimate the annual average PM10 concentration using data from an exhaustive inventory of the PM measurement campaigns conducted between 2004 and 2020 in the Parisian subway and historical data from the Parisian air pollution monitoring network. The resulting JEM and its exposure estimates were critically examined by experts using the uncertainty analysis framework. RESULTS The resulting JEM allows for the assignment of the estimated annual PM10 concentration to three types of professionals working in the subway: locomotive operators, station agents, and security guards. The estimates' precision and validity depend on the amount and quality of PM10 measurement data used in the job-, line-, and sector-specific models. Models using large amounts of personal exposure measurement data produced rather robust exposure estimates compared to models with lacunary data (i.e., in security guards). The analysis of uncertainty around the exposure estimates allows for the identification of the sources of uncertainty and parameters to be addressed in the future in order to refine and/or improve the JEM. CONCLUSIONS The JEM approach seems relevant for the retrospective exposure assessment of subway workers. When applied to available data on PM10, it allows for the estimation of this exposure in locomotive operators and station agents with an acceptable validity. Conversely, for security guards, the current estimates have insufficient validity to recommend their use in an epidemiological study. Therefore, the current JEM should be considered as a valid prototype, which shall be further improved using more robust measurements for some jobs. This JEM can also be further refined by considering additional exposure determinants.
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Affiliation(s)
- Tesnim Ben Rayana
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland
- Autonomous Parisian Transportation Administration (RATP), 75012 Paris, France
| | - Pascal Wild
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland
| | - Amélie Debatisse
- Autonomous Parisian Transportation Administration (RATP), 75012 Paris, France
| | - Valérie Jouannique
- Autonomous Parisian Transportation Administration (RATP), 75012 Paris, France
| | | | - Guillaume Suarez
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland
| | - Irina Guseva Canu
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland
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40
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Jin XEF, Low DY, Ang L, Lu L, Yin X, Tan YQ, Lee AKY, Seow WJ. Exposure to cooking fumes is associated with perturbations in nasal microbiota composition: A pilot study. Environ Res 2023; 234:116392. [PMID: 37302739 DOI: 10.1016/j.envres.2023.116392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 05/02/2023] [Accepted: 06/09/2023] [Indexed: 06/13/2023]
Abstract
Air pollution is one of the leading causes of overall mortality globally. Cooking emissions are a major source of fine particulate matter (PM2.5). However, studies on their potential perturbations on the nasal microbiota as well as their association with respiratory health are lacking. This pilot study aims to assess the environmental air quality among occupational cooks and its associations with nasal microbiota and respiratory symptoms. A total of 20 cooks (exposed) and 20 unexposed controls (mainly office workers), were recruited in Singapore from 2019 to 2021. Information on sociodemographic factors, cooking methods, and self-reported respiratory symptoms were collected using a questionnaire. Personal PM2.5 concentrations and reactive oxygen species (ROS) levels were measured using portable sensors and filter samplers. DNA was extracted from nasal swabs and sequenced using 16s sequencing. Alpha-diversity and beta-diversity were calculated, and between-group variation analysis of species was performed. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between exposure groups and self-reported respiratory symptoms. Higher daily mean PM2.5 (P = 2 × 10-7) and environmental ROS exposure (P = 3.25 × 10-7) were observed in the exposed group. Alpha diversity of the nasal microbiota between the two groups was not significantly different. However, beta diversity was significantly different (unweighted UniFrac P = 1.11 × 10-5, weighted UniFrac P = 5.42 × 10-6) between the two exposure groups. In addition, certain taxa of bacteria were slightly more abundant in the exposed group compared to unexposed controls. There were no significant associations between the exposure groups and self-reported respiratory symptoms. In summary, the exposed group had higher PM2.5 and ROS exposure levels and altered nasal microbiotas as compared to unexposed controls, though further studies are required to replicate these findings in a larger population.
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Affiliation(s)
- Xin Er Frances Jin
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
| | - Dorrain Yanwen Low
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Lina Ang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Lu Lu
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore
| | - Xin Yin
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Yue Qian Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Alex King Yin Lee
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore; Air Quality Processes Research Section, Environment and Climate Change Canada, Toronto, ON, Canada
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore.
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41
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Safaei Kouchaksaraei E, Khosravani Semnani A, Powell KM, Kelly KE. Regional impacts on air quality and health of changing a manufacturing facility's grid-boiler to a combined heat and power system. J Air Waste Manag Assoc 2023; 73:760-776. [PMID: 37602777 DOI: 10.1080/10962247.2023.2248922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 08/03/2023] [Accepted: 08/11/2023] [Indexed: 08/22/2023]
Abstract
Poor air quality is linked to numerous adverse health effects including strokes, heart attacks, and premature death. Improving energy efficiency in the industrial sector reduces air emissions and yields health benefits. One of these strategies, replacing an existing grid boiler (GB) with a combined heat and power (CHP) system, can improve a facility's energy efficiency but can also increase local air emissions, which in turn can affect health outcomes. Previous studies have considered air-emissions and health outcomes of CHP system installation at a single location, but few studies have investigated the regional air quality and health impacts of replacing an existing GB with new CHP system. This study estimates the emission changes and associated health impacts of this shift in 14 regions in the US, representing different electricity generation profiles. It assumes that one manufacturing facility in each region switches from an existing GB to a CHP system. The monetized annual US health benefits of shifting a single GB to a CHP in each of the 14 regions range from $-5.3 to 0.55 million (2022 USD), while including CHP emission control increases the benefits by 100-170% ($9,000 to 1.15 million (2022 USD)). This study also includes a sensitivity analysis, which suggests that the facility location (region, state, and county), boiler efficiency, and emission control of the CHP are key factors that would determine whether shifting from a GB to CHP system would result in health benefits or burdens.Implications: Combined heat and power (CHP) systems offer industrial facilities the opportunity to improve their energy efficiency and reduce greenhouse gas emissions. However, CHP systems also combust more fuel on site and can also increase local air emissions. This study evaluates how converting an existing grid boiler (GB) system to a CHP system (with or without emission control) affects local (from combustion) and regional emissions (from electricity consumption) and the associated health burdens in different US regions. A facility can use this study's analysis as an example for estimating the tradeoffs between local emission changes, regional emission changes, and health effects. It also provides a comparison between the incremental cost of adding SCR (compared to uncontrolled CHPs) and the NPV of the monetized health benefits associated with adding the SCR.
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Affiliation(s)
| | | | - Kody M Powell
- Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Kerry E Kelly
- Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA
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Yu P, Zhang Y, Meng J, Liu W. Statistical significance of PM 2.5 and O 3 trends in China under long-term memory effects. Sci Total Environ 2023; 892:164598. [PMID: 37271384 DOI: 10.1016/j.scitotenv.2023.164598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 05/05/2023] [Accepted: 05/29/2023] [Indexed: 06/06/2023]
Abstract
Over the past decade, the Chinese government has implemented the "Clean Air Action" measures to enhance the atmospheric environmental quality, primarily focusing on curbing PM2.5 and O3 concentrations. The efficacy of these strategies and the underlying causes (human factors or natural variability) of any observed increases or decreases in PM2.5 and O3 concentrations are of great importance. Examining the hourly PM2.5 and O3 concentration time series from six representative regions in China between 2015 and 2021 revealed an overall downward trend in PM2.5 concentrations. However, the O3 concentration time series indicated upward trends in some regions, except for the Northeast area (NE) and Sichuan Basin (SCB). In the context of conventional significance tests, the assumption is typically that the time series' samples are independent and therefore memoryless. However, in situations where the time series exhibits strong autocorrelation and limited sample size, this assumption can lead to an overestimation of the statistical significance of the linear trend. To account for this, we utilized a long-term memory model that can reproduce the long-term persistence of pollutant records to improve the accuracy of significance tests. By comparing the P-values of real and surrogate data generated by the long-term memory model, we found that only PM2.5 concentrations in the Pearl River Delta (PRD) were slightly insignificant. For the remaining five regions, the P-values of PM2.5 concentrations were smaller than the significant level of 0.05, suggesting that the observed downward trends in PM2.5 concentrations are not due to natural variability, thereby confirming the effectiveness of the government's policies aimed at curbing atmospheric particulate matter in recent years. Our results show that O3 pollution is significantly increasing only in the Beijing-Tianjin-Hebei (BTH) region, beyond natural variability. In contrast, the trends of O3 pollution in many regions of China are markedly impacted by natural and climate variability.
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Affiliation(s)
- Ping Yu
- Data Science Research Center, Faculty of Science, Kunming University of Science and Technology, Kunming, China
| | - Yongwen Zhang
- Data Science Research Center, Faculty of Science, Kunming University of Science and Technology, Kunming, China.
| | - Jun Meng
- School of Science, Beijing University of Posts and Telecommunications, Beijing, China.
| | - Wenqi Liu
- Data Science Research Center, Faculty of Science, Kunming University of Science and Technology, Kunming, China
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Shehata SA, Toraih EA, Ismail EA, Hagras AM, Elmorsy E, Fawzy MS. Vaping, Environmental Toxicants Exposure, and Lung Cancer Risk. Cancers (Basel) 2023; 15:4525. [PMID: 37760496 PMCID: PMC10526315 DOI: 10.3390/cancers15184525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 06/18/2023] [Accepted: 06/22/2023] [Indexed: 09/29/2023] Open
Abstract
Lung cancer (LC) is the second-most prevalent tumor worldwide. According to the most recent GLOBOCAN data, over 2.2 million LC cases were reported in 2020, with an estimated new death incident of 1,796,144 lung cancer cases. Genetic, lifestyle, and environmental exposure play an important role as risk factors for LC. E-cigarette, or vaping, products (EVPs) use has been dramatically increasing world-wide. There is growing concern that EVPs consumption may increase the risk of LC because EVPs contain several proven carcinogenic compounds. However, the relationship between EVPs and LC is not well established. E-cigarette contains nicotine derivatives (e.g., nitrosnornicotine, nitrosamine ketone), heavy metals (including organometal compounds), polycyclic aromatic hydrocarbons, and flavorings (aldehydes and complex organics). Several environmental toxicants have been proven to contribute to LC. Proven and plausible environmental carcinogens could be physical (ionizing and non-ionizing radiation), chemicals (such as asbestos, formaldehyde, and dioxins), and heavy metals (such as cobalt, arsenic, cadmium, chromium, and nickel). Air pollution, especially particulate matter (PM) emitted from vehicles and industrial exhausts, is linked with LC. Although extensive environmental exposure prevention policies and smoking reduction strategies have been adopted globally, the dangers remain. Combined, both EVPs and toxic environmental exposures may demonstrate significant synergistic oncogenicity. This review aims to analyze the current publications on the importance of the relationship between EVPs consumption and environmental toxicants in the pathogenesis of LC.
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Affiliation(s)
- Shaimaa A. Shehata
- Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt; (S.A.S.); (A.M.H.)
| | - Eman A. Toraih
- Division of Endocrine and Oncologic Surgery, Department of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, USA;
- Genetics Unit, Department of Histology and Cell Biology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Ezzat A. Ismail
- Department of Urology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt;
| | - Abeer M. Hagras
- Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt; (S.A.S.); (A.M.H.)
| | - Ekramy Elmorsy
- Department of Pathology, Faculty of Medicine, Northern Border University, Arar 73213, Saudi Arabia;
- Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt
| | - Manal S. Fawzy
- Department of Biochemistry, Faculty of Medicine, Northern Border University, Arar 73213, Saudi Arabia
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Wang X, Xia L, Pei F, Wang Z, Liu Y, Chang L, Pan S. The characteristics of particulate matter in different subway station environmental control systems. Heliyon 2023; 9:e20116. [PMID: 37809848 PMCID: PMC10559854 DOI: 10.1016/j.heliyon.2023.e20116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 10/10/2023] Open
Abstract
Particulate matter (PM2.5, PM10) in urban subway stations can significantly impact passengers' health. The particle concentration in subway stations is influenced by many factors. However, few existing studies have explored the impact of environmental control systems in-depth, especially under different outdoor pollution conditions. To address this research gap, this study focused on measuring and comparing the characteristics of PM2.5 and PM10 at subway stations with three control systems (open, closed, and screen door) under varying pollution conditions in Beijing. Particle concentrations from platforms, carriages, and outdoors were monitored and analyzed using statistical methods. The results showed that the particle concentration in the closed system was generally 20-40 μg/m3 higher than that in the screen system at the platform, which might be attributed to the piston wind, as the air from the tunnel with a lot of dirt. The pollution in the carriage was more severe for the open system than that of the screen system. The PM2.5/PM10 ratio in the carriage was 91%, 90%, and 83.84% for the closed, open, and screen systems, respectively. This indicates that the screen door could reduce the particle concentration in the platform to 10%-50%. The particle concentration varied among subway stations with different environmental control systems, suggesting that the prevention and control strategies for particulate matter pollution should be different for stations with different systems.
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Affiliation(s)
- Xinru Wang
- College of mechanical engineering, Tianjin university of commerce, Tianjin 300134, PR China
- Key Laboratory for Comprehensive Energy Saving of Cold Regions Architecture of Ministry of Education, Jilin jianzhu University, Changchun 130118, PR China
| | - Liang Xia
- Research Centre for Fluids and Thermal Engineering, University of Nottingham Ningbo China, 315100, PR China
| | - Fei Pei
- Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Zu Wang
- Research Centre for Fluids and Thermal Engineering, University of Nottingham Ningbo China, 315100, PR China
| | - Yiqiao Liu
- Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Li Chang
- Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Song Pan
- Key Laboratory for Comprehensive Energy Saving of Cold Regions Architecture of Ministry of Education, Jilin jianzhu University, Changchun 130118, PR China
- Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124, PR China
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Mui W, Kuang XM, Zhang H, Bhandari S, Dominguez R, Polidori A, Papapostolou V. Development of ASTM International D8405-Standard Test Method for Evaluating PM 2.5 Sensors or Sensor Systems Used in Indoor Applications. J Occup Environ Hyg 2023; 20:373-389. [PMID: 37184651 DOI: 10.1080/15459624.2023.2212739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Sensors and sensor systems for monitoring fine particles with aerodynamic diameters smaller than 2.5 µm can provide real-time feedback on indoor air quality and thus can help guide actions to manage indoor air pollutant concentrations. Standardized verification of the performance and accuracy of sensors and sensor systems is crucial for predicting the efficacy of such monitoring. A new ASTM International standard test method (ASTM D8405) was created for this need and is the most exacting laboratory protocol published to date for evaluating indoor air quality sensors and sensor systems measuring particles smaller than 2.5 µm in diameter. ASTM D8405 subjects sensors and sensor systems to five test phases: (1) an initial particle concentration ramp; (2) exposure to various temperature and humidity conditions; (3) exposure to interfering particles; (4) temperature cycling; and (5) a final particle concentration ramp to assess drift. This paper discusses the development of the standard test method, key aspects of the testing process, example evaluation results, and a comparison of this standard test method against peer evaluation protocols.
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Affiliation(s)
- Wilton Mui
- South Coast Air Quality Management District, Diamond Bar, California
| | | | - Hang Zhang
- South Coast Air Quality Management District, Diamond Bar, California
| | | | - Raul Dominguez
- South Coast Air Quality Management District, Diamond Bar, California
| | - Andrea Polidori
- South Coast Air Quality Management District, Diamond Bar, California
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Motairek I, Dong W, Salerno PR, Janus SE, Ganatra S, Chen Z, Guha A, Makhlouf MH, Hassani NS, Rajagopalan S, Al-Kindi SG. Geographical Patterns and Risk Factor Association of Cardio-Oncology Mortality in the United States. Am J Cardiol 2023; 201:150-157. [PMID: 37385168 PMCID: PMC10529631 DOI: 10.1016/j.amjcard.2023.06.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/16/2023] [Accepted: 06/06/2023] [Indexed: 07/01/2023]
Abstract
Cardio-oncology mortality (COM) is a complex issue that is compounded by multiple factors that transcend a depth of socioeconomic, demographic, and environmental exposures. Although metrics and indexes of vulnerability have been associated with COM, advanced methods are required to account for the intricate intertwining of associations. This cross-sectional study utilized a novel approach that combined machine learning and epidemiology to identify high-risk sociodemographic and environmental factors linked to COM in United States counties. The study consisted of 987,009 decedents from 2,717 counties, and the Classification and Regression Trees model identified 9 county socio-environmental clusters that were closely associated with COM, with a 64.1% relative increase across the spectrum. The most important variables that emerged from this study were teen birth, pre-1960 housing (lead paint indicator), area deprivation index, median household income, number of hospitals, and exposure to particulate matter air pollution. In conclusion, this study provides novel insights into the socio-environmental drivers of COM and highlights the importance of utilizing machine learning approaches to identify high-risk populations and inform targeted interventions for reducing disparities in COM.
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Affiliation(s)
- Issam Motairek
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | - Weichuan Dong
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Pedro Rvo Salerno
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | - Scott E Janus
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | - Sarju Ganatra
- Cardio-Oncology Program, Lahey Clinic, Burlington, Massachusetts
| | - Zhuo Chen
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | - Avirup Guha
- Cardio-Oncology Program, Georgia Cancer Center, Medical College of Georgia at Augusta University, Augusta, Georgia
| | - Mohamed He Makhlouf
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | - Neda Shafiabadi Hassani
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio; Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Sadeer G Al-Kindi
- Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio; Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio.
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Nethery RC, Josey K, Gandhi P, Kim JH, Visaria A, Bates B, Schwartz J, Robinson D, Setoguchi S. Air Pollution and Cardiovascular and Thromboembolic Events in Older Adults With High-Risk Conditions. Am J Epidemiol 2023; 192:1358-1370. [PMID: 37070398 PMCID: PMC10666966 DOI: 10.1093/aje/kwad089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 01/11/2023] [Accepted: 04/11/2023] [Indexed: 04/19/2023] Open
Abstract
Little epidemiologic research has focused on pollution-related risks in medically vulnerable or marginalized groups. Using a nationwide 50% random sample of 2008-2016 Medicare Part D-eligible fee-for-service participants in the United States, we identified a cohort with high-risk conditions for cardiovascular and thromboembolic events (CTEs) and linked individuals with seasonal average zip-code-level concentrations of fine particulate matter (particulate matter with an aerodynamic diameter ≤ 2.5 μm (PM2.5)). We assessed the relationship between seasonal PM2.5 exposure and hospitalization for each of 7 CTE-related causes using history-adjusted marginal structural models with adjustment for individual demographic and neighborhood socioeconomic variables, as well as baseline comorbidity, health behaviors, and health-service measures. We examined effect modification across geographically and demographically defined subgroups. The cohort included 1,934,453 individuals with high-risk conditions (mean age = 77 years; 60% female, 87% White). A 1-μg/m3 increase in PM2.5 exposure was significantly associated with increased risk of 6 out of 7 types of CTE hospitalization. Strong increases were observed for transient ischemic attack (hazard ratio (HR) = 1.039, 95% confidence interval (CI): 1.034, 1.044), venous thromboembolism (HR = 1.031, 95% CI: 1.027, 1.035), and heart failure (HR = 1.019, 95% CI: 1.017, 1.020). Asian Americans were found to be particularly susceptible to thromboembolic effects of PM2.5 (venous thromboembolism: HR = 1.063, 95% CI: 1.021, 1.106), while Native Americans were most vulnerable to cerebrovascular effects (transient ischemic attack: HR = 1.093, 95% CI: 1.030, 1.161).
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Affiliation(s)
- Rachel C Nethery
- Correspondence to Dr. Rachel C. Nethery, Department of Biostatistics, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 2, 4th Floor, Boston, MA 02115 (e-mail: )
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Zhou L, Wang Y, Wang Q, Ding Z, Jin H, Zhang T, Zhu B. The interactive effects of extreme temperatures and PM 2.5 pollution on mortalities in Jiangsu Province, China. Sci Rep 2023; 13:9479. [PMID: 37301905 PMCID: PMC10257702 DOI: 10.1038/s41598-023-36635-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 06/07/2023] [Indexed: 06/12/2023] Open
Abstract
Exposure to extreme temperatures or fine particles is associated with adverse health outcomes but their interactive effects remain unclear. We aimed to explore the interactions of extreme temperatures and PM2.5 pollution on mortalities. Based on the daily mortality data collected during 2015-2019 in Jiangsu Province, China, we conducted generalized linear models with distributed lag non-linear model to estimate the regional-level effects of cold/hot extremes and PM2.5 pollution. The relative excess risk due to interaction (RERI) was evaluated to represent the interaction. The relative risks (RRs) and cumulative relative risks (CRRs) of total and cause-specific mortalities associated with hot extremes were significantly stronger (p < 0.05) than those related to cold extremes across Jiangsu. We identified significantly higher interactions between hot extremes and PM2.5 pollution, with the RERI range of 0.00-1.15. The interactions peaked on ischaemic heart disease (RERI = 1.13 [95%CI: 0.85, 1.41]) in middle Jiangsu. For respiratory mortality, RERIs were higher in females and the less educated. The interaction pattern remained consistent when defining the extremes/pollution with different thresholds. This study provides a comprehensive picture of the interactions between extreme temperatures and PM2.5 pollution on total and cause-specific mortalities. The projected interactions call for public health actions to face the twin challenges, especially the co-appearance of hot extremes and PM pollution.
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Affiliation(s)
- Lian Zhou
- Center for Disease Control and Prevention of Jiangsu Province, Nanjing, 210009, China
| | - Yuning Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjia Bridge, Gulou District, Nanjing, 210009, China.
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China.
| | - Qingqing Wang
- Center for Disease Control and Prevention of Jiangsu Province, Nanjing, 210009, China
| | - Zhen Ding
- Center for Disease Control and Prevention of Jiangsu Province, Nanjing, 210009, China
| | - Hui Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, No. 87 Dingjia Bridge, Gulou District, Nanjing, 210009, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Ting Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China.
- Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, Fairfax, VA, 22030, USA.
| | - Baoli Zhu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
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Lynch KA, Merdjanoff AA. Impact of Disasters on Older Adult Cancer Outcomes: A Scoping Review. JCO Glob Oncol 2023; 9:e2200374. [PMID: 37290025 PMCID: PMC10497294 DOI: 10.1200/go.22.00374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2023] [Indexed: 06/10/2023] Open
Abstract
PURPOSE There is an urgent need to address the growing global cancer burden in the context of complex disaster events, which both disrupt access to oncology care and facilitate carcinogenic exposures. Older adults (65 years and older) are a growing population with multifaceted care needs, making them especially vulnerable to disasters. The objective of this scoping review is to characterize the state of the literature concerning older adult cancer-related outcomes and oncologic care after a disaster event. METHODS A search was conducted in PubMed and Web of Science. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for scoping reviews, articles were extracted and screened for inclusion. Eligible articles were summarized using descriptive and thematic analyses. RESULTS Thirty-five studies met all criteria for full-text review. The majority focused on technological disasters (60%, n = 21), followed by climate-amplified disasters (28.6%, n = 10) and geophysical disasters (11.4%, n = 4). Thematic analysis classified the current evidence into three major categories: (1) studies concerned with carcinogenic exposure and cancer incidence related to the disaster event, (2) studies examining changes in access to cancer care and cancer treatment disruptions as a result of the disaster event, and (3) studies exploring the psychosocial experiences of patients with cancer affected by a disaster event. Few studies focused on older adults specifically, and most of the current evidence focuses on disasters in the United States or Japan. CONCLUSION Older adult cancer outcomes after a disaster event are understudied. Current evidence suggests that disasters worsen cancer-related outcomes among older adults by disrupting continuity of care and access to timely treatment. There is a need for prospective longitudinal studies following older adult populations postdisaster and studies focused on disasters in low- and middle-income country contexts.
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Affiliation(s)
- Kathleen A. Lynch
- Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY
| | - Alexis A. Merdjanoff
- Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY
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Wang L, Cui Y, Liu H, Wu J, Li J, Liu X. PM2.5 aggravates airway inflammation in asthmatic mice: activating NF-κB via MyD88 signaling pathway. Int J Environ Health Res 2023; 33:563-574. [PMID: 35227140 DOI: 10.1080/09603123.2022.2041561] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
The role of PM2.5 in the bronchial asthma remains unclear. In this study, the deficient mice of TLR4-/-, TLR2-/- and MyD88 -/- were used to establish asthma model. The effects of PM2.5 on the inflammatory response in lung tissue of these mice were observed. PM2.5 increased alveolar macrophages and neutrophils, up-regulated the IL-12 and KC expression in WT mice, but down-regulated their levels in TLR2 -/-, TLR4 -/- and MyD88 -/- mice. OVA+PM2.5 stimulated neutrophil count in WT mice, but it decreased in TLR2 -/- and TLR4 -/- mice. OVA+PM2.5 also increased the Eotaxin, IL-5, IL-13 and MCP-3 expression levels, and OVA specific IgE and IgG1 in serum also increased in WT group. PM2.5 may activate NF-κB through the TLR2/TLR4/MyD88 signaling pathway and aggravate allergic inflammation of lung in asthmatic mice. The microelements in PM2.5 granules, such as lipopolysaccharide, may be an important factor in the high incidence of asthma.
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Affiliation(s)
- Lei Wang
- Department of Respiratory Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, Shanxi, China
| | - Yanzhi Cui
- Department of Respiratory Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, Shanxi, China
| | - Hu Liu
- Department of Respiratory Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, Shanxi, China
| | - Jing Wu
- Department of Respiratory Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, Shanxi, China
| | - Jie Li
- Department of Respiratory Medicine, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, Shanxi, China
| | - Xiansheng Liu
- Department of Respiratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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