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Wang J, Zhang H, Liu Y, Zhang Y, Wang H. Identifying the pollution risk pattern from industrial production to rural settlements and its countermeasures in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175442. [PMID: 39134271 DOI: 10.1016/j.scitotenv.2024.175442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 07/19/2024] [Accepted: 08/08/2024] [Indexed: 08/19/2024]
Abstract
Impacted by large-scale and rapid rural industrialization in the past few decades, China's rural settlements are confronted with the risk of heavy metal pollution stemming from industrial production, which might pose a significant threat to the rural habitat and the well-beings. This study devised a relative risk model for industrial heavy metal pollution to the rural settlements based on the source-pathway-receptor risk theory. Using this model, we assessed the risk magnitudes of heavy metal pollution from industrial production at a 10 km × 10 km grid scale and identified the characteristics of the risk pattern in China. Our finding reveals: (1) the relative risk values of wastewater, waste gas and total heavy metal pollution are notably concentrated within a confined spectrum, with only a small number of units are characterized by high-risk level; (2) Approximately 21.57 % of China's rural settlements contend with heavy metal pollution, with 4.17 %, 9.84 % and 7.55 % being subjected to high, medium and low risks, respectively; (3) The high-risk units mainly is concentrated in the developed areas such as Yangtze River Delta, Pearl River Delta, and the Beijing-Tianjin metropolitan area, also dispersed in the plain areas with high rural population density. Guided by these insights, this study puts forth regionally tailored prevention and control strategies, as well as distinct process prevention and control strategies.
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Affiliation(s)
- Jieyong Wang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
| | - Haonan Zhang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yaqun Liu
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Yingwen Zhang
- Capital City Environmental Construction Research Base, Beijing City University, Beijing 100083, China
| | - Haitao Wang
- Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
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Kang H, Huang D, Zhang W, Wang J, Liu Z, Wang Z, Jiang G, Gao A. Inhaled polystyrene microplastics impaired lung function through pulmonary flora/TLR4-mediated iron homeostasis imbalance. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174300. [PMID: 38936707 DOI: 10.1016/j.scitotenv.2024.174300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 06/23/2024] [Accepted: 06/24/2024] [Indexed: 06/29/2024]
Abstract
Microplastics (MPs) have been found in the air, human nasal cavity, and lung, suggesting that the respiratory tract is one of the important exposure routes for MPs. The lung is a direct target organ for injury from inhaled MPs, but data on lung injury from longer-term exposure to environmental doses of MPs are limited, and the mechanisms remain unclear. Here, C57BL/6 J mice were treated with 5 μm polystyrene (PS)-MPs by intratracheal instillation (0.6, 3, and 15 mg/kg) for 60 days to establish MPs exposure model. We found that PS-MPs lead to increased collagen fibers and decreased lung barrier permeability and lung function in lung tissue. Mechanistically, the abundance of gram-negative bacteria in the pulmonary flora increased after inhalation of PS-MPs, causing lipopolysaccharide (LPS) release. The expression of Toll-like receptor 4 (TLR4), the key receptor of LPS, was increased, and ferroptosis occurred in lung tissue cells. Further in vitro intervention experiments were performed, pulmonary flora/TLR4-induced imbalance of lung iron homeostasis is an important mechanism of PS-MPs-induced lung injury. Our study provides new evidence for lung injury caused by environmental doses of MPs and strategies to prevent it through longer-term dynamic observation.
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Affiliation(s)
- Huiwen Kang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Danyang Huang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Wei Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China
| | - JingYu Wang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Ziyan Liu
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Ziyan Wang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Guangyu Jiang
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Ai Gao
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China.
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Zeng Y, Bai X, Zhu G, Zhu M, Peng W, Song J, Cai H, Ye L, Chen C, Song Y, Jin M, Zhang XQ, Wang J. m 6A-mediated HDAC9 upregulation promotes particulate matter-induced airway inflammation via epigenetic control of DUSP9-MAPK axis and acts as an inhaled nanotherapeutic target. JOURNAL OF HAZARDOUS MATERIALS 2024; 477:135093. [PMID: 39088948 DOI: 10.1016/j.jhazmat.2024.135093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 06/15/2024] [Accepted: 07/01/2024] [Indexed: 08/03/2024]
Abstract
Exposure to particulate matter (PM) can cause airway inflammation and worsen various airway diseases. However, the underlying molecular mechanism by which PM triggers airway inflammation has not been completely elucidated, and effective interventions are lacking. Our study revealed that PM exposure increased the expression of histone deacetylase 9 (HDAC9) in human bronchial epithelial cells and mouse airway epithelium through the METTL3/m6A methylation/IGF2BP3 pathway. Functional assays showed that HDAC9 upregulation promoted PM-induced airway inflammation and activation of MAPK signaling pathway in vitro and in vivo. Mechanistically, HDAC9 modulated the deacetylation of histone 4 acetylation at K12 (H4K12) in the promoter region of dual specificity phosphatase 9 (DUSP9) to repress the expression of DUSP9 and resulting in the activation of MAPK signaling pathway, thereby promoting PM-induced airway inflammation. Additionally, HDAC9 bound to MEF2A to weaken its anti-inflammatory effect on PM-induced airway inflammation. Then, we developed a novel inhaled lipid nanoparticle system for delivering HDAC9 siRNA to the airway, offering an effective treatment for PM-induced airway inflammation. Collectively, we elucidated the crucial regulatory mechanism of HDAC9 in PM-induced airway inflammation and introduced an inhaled therapeutic approach targeting HDAC9. These findings contribute to alleviating the burden of various airway diseases caused by PM exposure.
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Affiliation(s)
- Yingying Zeng
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Allergy, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xin Bai
- Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, National Key Laboratory of Innovative Immunotherapy, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Guiping Zhu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Allergy, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Mengchan Zhu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Wenjun Peng
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of Allergy, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Juan Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Hui Cai
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Ling Ye
- Department of Allergy, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Cuicui Chen
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yuanlin Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Lung Inflammation and Injury, Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Institute of Infectious Disease and Biosecurity, Shanghai 200032, China; Shanghai Respiratory Research Institute, Shanghai 200032, China
| | - Meiling Jin
- Department of Allergy, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xue-Qing Zhang
- Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, National Key Laboratory of Innovative Immunotherapy, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jian Wang
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
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Yang S, Fang M, Jin L, Shao Z, Zhang X, Han Y, Du B, Yang D, Gu AZ, Chen Y, Li D, Chen J. In Situ and Rapid Toxicity Assessment of Air Pollution by Self-Assembly Passive Colonization Hydrogel. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024. [PMID: 39248495 DOI: 10.1021/acs.est.4c04807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/10/2024]
Abstract
Air pollution is a leading environmental health risk factor, and in situ toxicity assessment is urgently needed. Bacteria-based bioassays offer cost-effective and rapid toxicity assessments. However, the application of these bioassays for air toxicity assessment has been challenging, due to the instability of bacterial survival and functionality when directly exposed to air pollutants. Here, we developed an approach employing self-assembly passive colonization hydrogel (SAPCH) for in situ air toxicity assessment. The SAPCH features a core-shell structure, enabling the quantitatively immobilization of bacteria on its shell while continuously provides nutrients from its core. An antimicrobial polyelectrolyte layer between the core and shell confines bacteria to the air-liquid interface, synchronizing bacterial survival with exposure to air pollutants. The SAPCH immobilized a battery of natural and recombinant luminescent bacteria, enabling simultaneous detection of various toxicological endpoints (cytotoxicity, genotoxicity and oxidative stress) of air pollutants within 2 h. Its sensitivity was 3-5 orders of magnitude greater than that of traditional liquid-phase toxicity testing, and successfully evaluating the toxicity of volatile organic compounds and combustion smoke. This study presents a method for in situ, rapid, and economical toxicity assessment of air pollution, making a significant contribution to future air quality monitoring and control.
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Affiliation(s)
- Shuo Yang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan Tyndall Center, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Mingliang Fang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan Tyndall Center, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Ling Jin
- Department of Civil and Environmental Engineering, Department of Health Technology and Informatics, The Hong Kong Polytechnic University, 999077 Kowloon, Hong Kong
- State Key Laboratory of Marine Pollution, City University of Hong Kong, 99907 Kowloon, Hong Kong
| | - Zhiwei Shao
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan Tyndall Center, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Xiang Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan Tyndall Center, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Yong Han
- Department of Civil and Environmental Engineering, Department of Health Technology and Informatics, The Hong Kong Polytechnic University, 999077 Kowloon, Hong Kong
| | - Banghao Du
- College of Water Conservancy and Civil Engineering, Shandong Agricultural University, 271018 Tai'an, China
| | - Dayong Yang
- Department of Chemistry, Fudan University, 200438 Shanghai, China
| | - April Z Gu
- Atkinson Center for a Sustainable Future Faculty Fellow Civil and Environmental Engineering, Cornell University, Ithaca, New York State 14853, United States
| | - Yingjun Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan Tyndall Center, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Dan Li
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan Tyndall Center, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Jianmin Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan Tyndall Center, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
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He C, Liu J, Zhou Y, Zhou J, Zhang L, Wang Y, Liu L, Peng S. Synergistic PM 2.5 and O 3 control to address the emerging global PM 2.5-O 3 compound pollution challenges. ECO-ENVIRONMENT & HEALTH 2024; 3:325-337. [PMID: 39281068 PMCID: PMC11400616 DOI: 10.1016/j.eehl.2024.04.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 03/05/2024] [Accepted: 04/02/2024] [Indexed: 09/18/2024]
Abstract
In recent years, the issue of PM2.5-O3 compound pollution has become a significant global environmental concern. This study examines the spatial and temporal patterns of global PM2.5-O3 compound pollution and exposure risks, firstly at the global and urban scale, using spatial statistical regression, exposure risk assessment, and trend analyses based on the datasets of daily PM2.5 and surface O3 concentrations monitored in 120 cities around the world from 2019 to 2022. Additionally, on the basis of the common emission sources, spatial heterogeneity, interacting chemical mechanisms, and synergistic exposure risk levels between PM2.5 and O3 pollution, we proposed a synergistic PM2.5-O3 control framework for the joint control of PM2.5 and O3. The results indicated that: (1) Nearly 50% of cities worldwide were affected by PM2.5-O3 compound pollution, with China, South Korea, Japan, and India being the global hotspots for PM2.5-O3 compound pollution; (2) Cities with PM2.5-O3 compound pollution have exposure risk levels dominated by ST + ST (Stabilization) and ST + HR (High Risk). Exposure risk levels of compound pollution in developing countries are significantly higher than those in developed countries, with unequal exposure characteristics; (3) The selected cities showed significant positive spatial correlations between PM2.5 and O3 concentrations, which were consistent with the spatial distribution of the precursors NOx and VOCs; (4) During the study period, 52.5% of cities worldwide achieved synergistic reductions in annual average PM2.5 and O3 concentrations. The average PM2.5 concentration in these cities decreased by 13.97%, while the average O3 concentration decreased by 19.18%. This new solution offers the opportunity to construct intelligent and healthy cities in the upcoming low-carbon transition.
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Affiliation(s)
- Chao He
- College of Resources and Environment, Yangtze University, Wuhan 430100, China
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan 430100, China
| | - Jianhua Liu
- College of Resources and Environment, Yangtze University, Wuhan 430100, China
- Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan 430100, China
| | - Yiqi Zhou
- School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
| | - Jingwei Zhou
- Hydrology and Environmental Hydraulics Group, Wageningen University and Research, Wageningen 6700 HB, the Netherlands
| | - Lu Zhang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Yifei Wang
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, School of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Lu Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, China
| | - Sha Peng
- Collaborative Innovation Center for Emissions Trading System Co-constructed by the Province and Ministry, Hubei University of Economics, Wuhan 430205, China
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Li L, Wang M, Jia T, Jiang X, Yang F, Wang Z, Zhang X. Neutrophil-to-lymphocyte ratio in type 2 diabetes patients combined with Lower Extremity Peripheral Artery Disease. Front Endocrinol (Lausanne) 2024; 15:1434580. [PMID: 39280000 PMCID: PMC11392728 DOI: 10.3389/fendo.2024.1434580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2024] [Accepted: 08/16/2024] [Indexed: 09/18/2024] Open
Abstract
Objective This study explored the utility of NLR (neutrophil-to-lymphocyte ratio) as a marker to predict Lower Extremity Peripheral Artery Disease (PAD) in the Chinese population, as well as to assess its consistency and diagnostic value with digital subtraction angiography. Methods Patients were distributed into three groups according to the angiography in lower limb arterial: group L1, plaque with no stenosis; group L2, plaque with luminal stenosis and group L3, total vascular occlusion. Changes in the neutrophil-to-lymphocyte ratio were documented and compared among groups. Results Compared to group L1, NLR was significantly increased in L2 (1.76 vs 2.35, p=0.037) and L3 (1.76 vs 3.60, p<0.001), with a gradual decrease in ABI (Ankle-Brachial Index, 1.11 vs 1.02 vs 0.94, p<0.001). Those older patients with higher prevalence of hypertension (p=0.002), obesity (p=0.032), or reduced high-density lipoprotein cholesterol (p=0.020) were more likely to develop PAD; higher glycosylated hemoglobin (p=0.045), low-density lipoprotein cholesterol (p=0.006), and systolic blood pressure (p<0.001) levels led to a greater tendency to suffer stenosis or even occlusion; the probability of severe stenosis (>70%) increased to 2.075 times for every 1 increase in NLR, while it was 46.8% for every 0.1 increase in ABI. The optimal NLR cut-off value to predict severe stenosis in PAD was 2.73. Receiver operating characteristic curve analysis of the inflammatory biomarkers and severe stenosis prediction displayed an area under the curve of 0.81. Conclusion NLR could serve as a new noninvasive and accurate marker in predicting PAD.
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Affiliation(s)
- Li Li
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengjie Wang
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ting Jia
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaowan Jiang
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fan Yang
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhongjing Wang
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory for Molecular Diagnosis of Hubei Province, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Regenerative Medicine Clinical Research Center, Wuhan, China
- Wuhan Diabetes Clinical Research Center, Wuhan, China
| | - Xuyan Zhang
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory for Molecular Diagnosis of Hubei Province, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Regenerative Medicine Clinical Research Center, Wuhan, China
- Wuhan Diabetes Clinical Research Center, Wuhan, China
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Liu H, Yin P, Qi J, Zhou M. Burden of non-communicable diseases in China and its provinces, 1990-2021: Results from the Global Burden of Disease Study 2021. Chin Med J (Engl) 2024:00029330-990000000-01201. [PMID: 39193717 DOI: 10.1097/cm9.0000000000003270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND Non-communicable diseases (NCDs) are the primary causes of disability and death. The aim of this study is to analyze the disease burden of NCDs in China from 1990 to 2021. METHODS This study used data on NCDs in China and its provinces from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021. The study analyzed the disease burden of NCDs in 2021 and its changes from 1990 to 2021 using indicators including deaths and disability-adjusted life years (DALYs). RESULTS Between 1990 and 2021, the NCD burden in China exhibited an upward trend. In 2021, China had 10.6 (95% uncertainty interval [UI]: 9.0-12.2) million deaths and 349.3 (95% UI: 301.5-401.2) million DALYs due to NCDs, accounting for 91.0% (95% UI: 90.4-91.7%) of all deaths and 86.7% (95% UI: 86.0-87.4%) of all DALYs. NCDs caused a lower disease burden in females than in males. Cardiovascular diseases and neoplasms were the main NCD level 2 causes of deaths and DALYs, resulting in 5.1 (95% UI: 4.3-5.9) and 2.8 (95% UI: 2.3-3.4) million deaths and 100.2 (95% UI: 84.6-116.6) million and 71.2 (95% UI: 59.3-85.2) million DALYs in 2021, respectively. Chronic respiratory diseases were the third leading cause of NCD deaths, while musculoskeletal disorders were the third leading cause of NCD DALYs. Qinghai, Xizang, and Heilongjiang had the highest age-standardized mortality rates and age-standardized DALY rates (per 100,000) for NCDs, while Hong Kong Special Administration Region (SAR), Macao SAR, and Shanghai recorded the lowest age-standardized mortality rates and age-standardized DALY rates. CONCLUSIONS NCDs disease burden in China and exhibited heterogeneity across sexes provinces. China needs to focus on addressing key NCDs and implement intervention measures tailored to the disease distribution characteristics to reduce the NCD burden.
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Affiliation(s)
- Hanxiao Liu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Peng Yin
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Jinlei Qi
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Maigeng Zhou
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Tu H, Hu Y, Hu K, Dong P, Wen Y, Jiang J, Xu X, Huang J, Zhu J, He C, Chen Q, Liu Y. Assessment of the Respiratory Disease Mortality Risk from Single and Composite Exposures to PM 2.5 and Ozone - Guangzhou City, Guangdong Province, China, 2018-2021. China CDC Wkly 2024; 6:857-861. [PMID: 39211412 PMCID: PMC11350229 DOI: 10.46234/ccdcw2024.184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 07/17/2024] [Indexed: 09/04/2024] Open
Abstract
What is already known about this topic? Fine particulate matter (PM2.5) and ozone (O3) are prevalent pollutants in the atmosphere, which threaten human health, especially the respiratory system. Typically, people are exposed to a mixture of various pollutants in the environment. Thus, the single and combined effects of both pollutants need to be investigated. What is added by this report? PM2.5 and O3 increase the risk of death from lung cancer, chronic obstructive pulmonary disease (COPD), and respiratory diseases, with their lagged and cumulative effects analyzed, indicating an acute effect. In addition, combined exposure to both pollutants can significantly affect disease deaths. What are the implications for public health practice? This study provides further evidence of the single and combined effects of PM2.5 and O3 on respiratory diseases, emphasizing the need for sustained efforts in air pollution control, with greater attention to the synergistic management of air pollutants.
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Affiliation(s)
- Hongwei Tu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
| | - Yijun Hu
- Jinan University; Guangzhou City, Guangdong Province, China
| | - Keqi Hu
- Department of Science and Education, Guangdong Second Provincial General Hospital; Guangzhou City, Guangdong Province, China
| | - Peipei Dong
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
- Sun Yat-sen University, Guangzhou City, Guangdong Province, China
| | - Yue Wen
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
- Sun Yat-sen University, Guangzhou City, Guangdong Province, China
| | - Jing Jiang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
| | - Xuedan Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
| | - Jinxu Huang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
| | - Jiemin Zhu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
| | - Changyun He
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
| | - Qiuxia Chen
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
| | - Yongying Liu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou City, Guangdong Province, China
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Zhang W, Wang Y, Wang L, Cao M, Cao H, Song M, Qian Y, Wang T, Liang Y, Jiang G. COPD-Like Phenotypes in TBC-Treated Mice Can be Effectively Alleviated via Estrogen Supplement. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024. [PMID: 39166923 DOI: 10.1021/acs.est.4c03187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/23/2024]
Abstract
Tris(2,3-dibromopropyl) isocyanurate (TBC), recognized as an endocrine disruptor, can cause inflammatory injury to the lung tissue of mice. To investigate the specific respiratory effects of TBC, male C57BL/6J mice were administered a daily dose of 20 mg/kg of TBC over 14 days. Postexposure, these mice developed chronic obstructive pulmonary disease (COPD)-like symptoms characterized by inflammatory lung damage and functional impairment. In light of the antiestrogenic properties of TBC, we administrated estradiol (E2) to investigate its potential protective role against TBC-induced damage and found that the coexposure of E2 notably mitigated the COPD-like phenotypes. Immunohistochemical analysis revealed that TBC exposure reduced estrogen receptor alpha (ERα) expression and increased nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) expression, while E2 treatment rebalanced the expression levels of ERα and NF-κB to their normative states. Our findings indicate that TBC, as an antiestrogenic agent, may contribute to the pathogenesis of COPD through an ERα-mediated inflammatory pathway, but that E2 treatment could reverse the impairment, providing a potentially promising remedial treatment. Given the lung status as a primary target of air pollution, the presence of antiestrogenic compounds like TBC in atmospheric particulates presents a significant concern, with the potential to exacerbate respiratory conditions such as COPD and pneumonia.
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Affiliation(s)
- Wenjuan Zhang
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, School of Environment and Health, Jianghan University, 430056 Wuhan, P. R. China
| | - Yuxin Wang
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, School of Environment and Health, Jianghan University, 430056 Wuhan, P. R. China
| | - Ling Wang
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, School of Environment and Health, Jianghan University, 430056 Wuhan, P. R. China
| | - Mengxi Cao
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, School of Environment and Health, Jianghan University, 430056 Wuhan, P. R. China
| | - Huiming Cao
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, School of Environment and Health, Jianghan University, 430056 Wuhan, P. R. China
| | - Maoyong Song
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, School of Environment and Health, Jianghan University, 430056 Wuhan, P. R. China
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China
| | - Yun Qian
- Department of Biomedical Engineering, Florida International University, 10555 West Flagler Street, Miami, Florida 33174, United States
| | - Thanh Wang
- Department of Physics, Chemistry and Biology (IFM), Linköping University, SE-58183 Linköping, Sweden
- Department of Thematic Studies - Environmental Change, Linköping University, SE-58183 Linköping, Sweden
| | - Yong Liang
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, School of Environment and Health, Jianghan University, 430056 Wuhan, P. R. China
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China
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10
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Liu Q, Liu J, Zhang Y, Chen H, Liu X, Liu M. Associations between atmospheric PM 2.5 exposure and carcinogenic health risks: Surveillance data from the year of lowest recorded levels in Beijing, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 355:124176. [PMID: 38768675 DOI: 10.1016/j.envpol.2024.124176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 05/13/2024] [Accepted: 05/15/2024] [Indexed: 05/22/2024]
Abstract
Scant research has pinpointed the year of minimum PM2.5 concentration through extensive, uninterrupted monitoring, nor has it thoroughly assessed carcinogenic risks associated with analyzing numerous components during this nadir in Beijing. This study endeavored to delineate the atmospheric PM2.5 pollution in Beijing from 2015 to 2022 and to undertake comprehensive evaluation of carcinogenic risks associated with the composition of atmospheric PM2.5 during the year exhibiting the lowest concentration. PM2.5 concentrations were monitored gradually in 9 districts of Beijing for 7 consecutive days per month from 2015 to 2022, and 32 kinds of PM2.5 components collected in the lowest PM2.5 concentration year were analyzed. This comprehensive dataset served as the basis for carcinogenic risk assessment using Monte Carlo simulation. And we applied the Positive Matrix Factorization (PMF) method to identity the sources of atmospheric PM2.5. Furthermore, we integrated this source appointment model with risk assessment model to discern the origins of these risks. The findings revealed that the annual average PM2.5 concentration in 2022 stood at 43.1 μg/m3, marking the lowest level recorded. The mean carcinogenic risks of atmospheric PM2.5 exposure calculated at 6.30E-6 (empirical 95% CI 1.09E-6 to 2.25E-5) in 2022. The PMF model suggested that secondary sources (35.4%), coal combustion (25.6%), resuspended dust (15.1%), biomass combustion (14.1%), vehicle emissions (7.1%), industrial emissions (2.0%) and others (0.7%) were the main sources of atmospheric PM2.5 in Beijing. The mixed model revealed that coal combustion (2.41E-6), vehicle emissions (1.90E-6) and industrial emissions (1.32E-6) were the main sources of carcinogenic risks with caution. Despite a continual decrease in atmospheric PM2.5 concentration in recent years, the lowest concentration levels still pose non-negligible carcinogenic risks. Notably, the carcinogenic risks associated with metals and metalloids exceeded that of PAHs. And the distribution of risk sources did not align proportionally with the distribution of PM2.5 mass concentration.
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Affiliation(s)
- Qichen Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Institute for Environmental Health, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yong Zhang
- Institute for Environmental Health, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Huajie Chen
- Institute for Environmental Health, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Xiaofeng Liu
- Institute for Environmental Health, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Min Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
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11
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Zhuo B, Ran S, Qian AM, Zhang J, Tabet M, Howard SW, Zhang Z, Tian F, Lin H. Air Pollution Metabolomic Signatures and Chronic Respiratory Diseases Risk: A Longitudinal Study. Chest 2024:S0012-3692(24)04843-8. [PMID: 39059576 DOI: 10.1016/j.chest.2024.06.3809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 06/20/2024] [Accepted: 06/29/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Although evidence has documented the associations of ambient air pollution with chronic respiratory diseases (CRDs) and lung function, the underlying metabolic mechanisms remain largely unclear. RESEARCH QUESTION How does the metabolomic signature for air pollution relate to CRD risk, respiratory symptoms, and lung function? STUDY DESIGN AND METHODS We retrieved 171,132 participants free of COPD and asthma at baseline from the UK Biobank, who had data on air pollution and metabolomics. Exposures to air pollutants (particulate matter with diameter ≤ 2.5 μm [PM2.5], particulate matter with a diameter ≤ 10 μm, nitrogen oxide [NOX], and NO2) were assessed for 4 years before baseline considering residential address histories. We used 10-fold cross-validation elastic net regression to identify air pollution-associated metabolites. Multivariable Cox models were used to assess the associations between metabolomic signatures and CRD risk. Mediation and pathway analysis were conducted to explore the metabolic mechanism underlying the associations. RESULTS During a median follow-up of 12.51 years, 8,951 and 5,980 incident COPD and asthma cases were recorded. In multivariable Cox regressions, air pollution was positively associated with CRD risk (eg, hazard ratio per interquartile range increment in PM2.5, 1.09; 95% CI, 1.06-1.13). We identified 103, 86, 85, and 90 metabolites in response to PM2.5, particulate matter with a diameter ≤ 10 μm, NOX, and NO2 exposure, respectively. The metabolomic signatures showed significant associations with CRD risk (hazard ratio per SD increment in PM2.5 metabolomic signature, 1.11; 95% CI, 1.09-1.14). Mediation analysis showed that peripheral inflammatory and erythrocyte-related markers mediated the effects of metabolomic signatures on CRD risk. We identified 14 and 12 perturbed metabolic pathways (energy metabolism and amino acid metabolism pathways, etc) for PM2.5 and NOX metabolomic signatures. INTERPRETATION Our study identifies metabolomic signatures for air pollution exposure. The metabolomic signatures showed significant associations with CRD risk, and inflammatory- and erythrocyte-related markers partly mediated the metabolomic signatures-CRD links.
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Affiliation(s)
- Bingting Zhuo
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shanshan Ran
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Aaron M Qian
- Department of Psychology, College of Arts and Sciences, Saint Louis University, Saint Louis, MO
| | - Junguo Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Maya Tabet
- College of Global Population Health, University of Health Sciences and Pharmacy, Saint Louis, MO
| | - Steven W Howard
- Department of Health Services Administration, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
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12
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Behera DK, Viswanathan PK, Mishra S. Effects of air pollution on global health: evidence from the global burden of disease study in the BRICS countries. Int Arch Occup Environ Health 2024:10.1007/s00420-024-02087-7. [PMID: 38995431 DOI: 10.1007/s00420-024-02087-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/27/2024] [Indexed: 07/13/2024]
Abstract
PURPOSE Considering the dynamic influence of environmental, social, economic, and political factors in the emergence and growth of the BRICS countries (Brazil, Russia, India, China, and South Africa) over the years and pre-existing differences, the adverse effects of air pollution on the health and well-being of the people have remained major areas of academic inquiry and policy interventions. The present study examines the global trend of deaths and Disability Adjusted Life Years (DALYs) attributable to air pollution with particular reference to the BRICS countries for the period 1990 to 2019. METHODS This study has used the global burden of disease estimates by using different rounds of the Global Burden of Disease (GBD) study report published by the Institute of Health Metrics Evaluation. This study has calculated the cause of death and DALYs due to environmental risk factors (i.e. Air pollution). Data analysis has been done by using the standard formula for the calculation of death (mortality) rate and DALYs rate. Similarly, we calculated the age and gender-wise death and DALYs rate by using the appropriate numerator and denominator. RESULTS The study discovered a significant shift in disease patterns over this period, as communicable diseases like respiratory infections and tuberculosis were replaced by non-communicable diseases such as ischemic heart disease (17.2 million), chronic obstructive pulmonary disease (14.59 million), and stroke (17.02 million) as the primary causes of air pollution-related deaths in 2019 at the global level. Additionally, the study identified a worrying increase in deaths linked to neonatal disorders and respiratory infections caused by ambient particulate matter pollution in South Africa, India, and Brazil. The impact of air pollution on public health is evident across different age groups and genders, with people aged 50-69 years, those aged 70 and above, and children under 5 years being more vulnerable. Furthermore, the male population is disproportionately affected by communicable and noncommunicable diseases caused by air pollution. CONCLUSION The study highlights the need for policymakers to implement evidence-based interventions to tackle this global health problem. The interventions should aim to reduce the emerging crisis of non-communicable diseases related to air pollution, particularly among vulnerable age groups and the male population, ultimately improving public health outcomes.
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Affiliation(s)
- Deepak Kumar Behera
- Department of Economics and Finance, The Business School, RMIT International University Vietnam, Ho Chi Minh City, 700000, Vietnam.
| | | | - Sanghamitra Mishra
- School of Public Health, AIPH University, Bhubaneswar, Odisha, 751002, India
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13
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Yang Y, Li Y, Xie Q, Jiang B, Li J, Xie Y, Ji W. Evaluating the Kinetics and Molecular Mechanism for Biomimetic Metabolic Activation of PAHs by Surface-Enhanced Raman Scattering Spectroscopy. Anal Chem 2024; 96:10365-10372. [PMID: 38869249 DOI: 10.1021/acs.analchem.4c01437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2024]
Abstract
Biomimetic cytochrome P450 for chemical activation of environmental carcinogens is an efficient in vitro model for evaluating their mutagenicity and ultimately acquiring the metabolites that cannot be easily accessed by conventional routes of organic synthesis. Different kinds of mutagen derived from polyaromatic hydrocarbons (PAHs) by metalloporphyrin/oxidant model systems have been reported, but the underlying molecular mechanisms are poorly understood. Herein, we have for the first time demonstrated an effective surface-enhanced Raman scattering (SERS) protocol to study the dynamics and biomimetic metabolic behaviors of pyrene (Pyr) in the presence of various oxygen donors. Quantitative information on the relative concentration of Pyr and its metabolites in the biomimetic system can be extracted from the SERS spectra. On the basis of our results, we conclude that the oxidative metabolism of Pyr is highly influenced by the types and concentrations of oxygen donors, leading to the formation of 1-hydroxypyrene and dioxygenated products. Besides, the addition of an appropriate amount of an organic solvent can promote the formation of secondary oxidation products. These results offer valuable insights into the dynamics of PAHs metabolism and the regulation of their metabolic pathways in biomimetic activation. In comparison to traditional liquid chromatography-mass spectrometry, the present SERS approach is more suitable for high-throughput evaluation of the metabolic process and kinetics of PAHs. We anticipate that this approach will enable a more general and comprehensive tracking of metabolic dynamics and molecular mechanisms involved in the biomimetic activation of other xenobiotics, such as procarcinogens, promutagens, and drugs.
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Affiliation(s)
- Yang Yang
- College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 145040, China
| | - Yifan Li
- College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 145040, China
| | - Qinhui Xie
- College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 145040, China
| | - Bo Jiang
- College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 145040, China
| | - Junbo Li
- College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 145040, China
| | - Yunfei Xie
- State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Wei Ji
- College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 145040, China
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14
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Shen H, Zheng R, Du M, Christiani DC. Environmental pollutants exposure-derived extracellular vesicles: crucial players in respiratory disorders. Thorax 2024; 79:680-691. [PMID: 38631896 DOI: 10.1136/thorax-2023-221302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 03/18/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND Individual exposure to environmental pollutants, as one of the most influential drivers of respiratory disorders, has received considerable attention due to its preventability and controllability. Considering that the extracellular vesicle (EV) was an emerging intercellular communication medium, recent studies have highlighted the crucial role of environmental pollutants derived EVs (EPE-EVs) in respiratory disorders. METHODS PubMed and Web of Science were searched from January 2018 to December 2023 for publications with key words of environmental pollutants, respiratory disorders and EVs. RESULTS Environmental pollutants could disrupt airway intercellular communication by indirectly stimulating airway barrier cells to secrete endogenous EVs, or directly transmitting exogenous EVs, mainly by biological pollutants. Mechanistically, EPE-EVs transferred specific contents to modulate biological functions of recipient cells, to induce respiratory inflammation and impair tissue and immune function, which consequently contributed to the development of respiratory diseases, such as asthma, chronic obstructive pulmonary disease, pulmonary fibrosis, pulmonary hypertension, lung cancer and infectious lung diseases. Clinically, EVs could emerged as promising biomarkers and biological agents for respiratory diseases attributed by their specificity, convenience, sensibility and stability. CONCLUSIONS Further studies of EPE-EVs are helpful to understand the aetiology and pathology of respiratory diseases, and facilitate the precision respiratory medicine in risk screening, early diagnosis, clinical management and biotherapy.
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Affiliation(s)
- Haoran Shen
- School of Pediatrics, Nanjing Medical University, Nanjing, China
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Rui Zheng
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Mulong Du
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Departments of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - David C Christiani
- Departments of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
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15
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Cheng Z, Qin K, Zhang Y, Yu Z, Li B, Jiang C, Xu J. Air pollution and cancer daily mortality in Hangzhou, China: an ecological research. BMJ Open 2024; 14:e084804. [PMID: 38858146 PMCID: PMC11168133 DOI: 10.1136/bmjopen-2024-084804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 05/14/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND Long-term exposure to air pollution has been linked to cancer incidence. However, the evidence is limited regarding the effect of short-term exposure to air pollution on cancer mortality. OBJECTIVES This study aimed to investigate associations between short-term exposure to air pollutants (sulfur dioxide (SO2), nitrogen dioxide (NO2), particulate matter with an aerodynamic diameter <10 mm (PM10) and PM2.5) and cancer daily mortality. METHODS This study used air quality, meteorological and daily cancer death data from 2014 to 2019 in Hangzhou, China. Generalised additive models (GAM) with quasi-Poisson regression were used to analyse the associations between air pollutants and cancer mortality with adjustment for confounding factors including time trends, day of week, temperature and humidity. Then, we conducted stratified analyses by sex, age, season and education. In addition, stratified analyses of age, season and education were performed within each sex to determine whether sex difference was modified by such factors. RESULTS After adjusting for potential confounders, the GAM results indicated a statistically significant relationship between increased cancer mortality and elevated air pollution concentrations, but only in the female population. For every 10 μg/m3 rise in pollutant concentration, the increased risk of cancer death in females was 6.82% (95% CI 3.63% to 10.10%) for SO2 on lag 03, and 2.02% (95% CI 1.12% to 2.93%) for NO2 on lag 01 and 0.89% (95% CI 0.46% to 1.33%) for PM10 on lag 03 and 1.29% (95% CI 0.64% to 1.95%) for PM2.5 on lag 03. However, no statistically significant association was found among males. Moreover, the differences in effect sizes between males and females were more pronounced during the cold season, among the elderly and among subjects with low levels of education. CONCLUSIONS Increased cancer mortality was only observed in females with rising concentrations of air pollutants. Further research is required to confirm this sex difference. Advocate for the reduction of air pollutant emissions to protect vulnerable groups.
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Affiliation(s)
- Zongxue Cheng
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Kang Qin
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Yan Zhang
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Zhecong Yu
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Biao Li
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Caixia Jiang
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Jue Xu
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
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16
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Zhao C, Yang L, Sun Y, Chen C, Huang Z, Yang Q, Yun J, Habib A, Liu G, Zheng M, Jiang G. Atmospheric emissions of hexachlorobutadiene in fine particulate matter from industrial sources. Nat Commun 2024; 15:4737. [PMID: 38834556 DOI: 10.1038/s41467-024-49097-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 05/17/2024] [Indexed: 06/06/2024] Open
Abstract
Hexachlorobutadiene (HCBD) is a concerning chemical that is included in the United States Toxic Substances Control Act, and the Stockholm Convention. Knowledge of the sources of HCBD is insufficient and is pivotal for accurate inventory and implementing global action. In this study, unintentional HCBD release and source emission factors of 121 full-scale industrial plants from 12 industries are investigated. Secondary copper smelting, electric arc furnace steelmaking, and hazardous waste incineration show potential for large emission reductions, which are found of high HCBD emission concentrations of > 20 ng/g in fine particulate matter in this study. The highest HCBD emission concentration is observed for the secondary copper smelting industry (average: 1380 ng/g). Source emission factors of HCBD for the 12 industries range from 0.008 kg/t for coal fire power plants to 0.680 kg/t for secondary lead smelting, from which an estimation of approximately 8452.8 g HCBD emissions annually worldwide achieved. The carcinogenic risks caused by HCBD emissions from countries and regions with intensive 12 industrial sources are 1.0-80 times higher than that without these industries. These results will be useful for formulating effective strategies of HCBD control.
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Affiliation(s)
- Chenyan Zhao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Lili Yang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.
| | - Yuxiang Sun
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Changzhi Chen
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Zichun Huang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Qiuting Yang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Jianghui Yun
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Ahsan Habib
- Department of Chemistry, Dhaka University, Dhaka, Bangladesh
| | - Guorui Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, China.
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.
| | - Minghui Zheng
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
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Li XC, Qian HR, Zhang YY, Zhang QY, Liu JS, Lai HY, Zheng WG, Sun J, Fu B, Zhou XN, Zhang XX. Optimal decision-making in relieving global high temperature-related disease burden by data-driven simulation. Infect Dis Model 2024; 9:618-633. [PMID: 38645696 PMCID: PMC11026972 DOI: 10.1016/j.idm.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 02/27/2024] [Accepted: 03/09/2024] [Indexed: 04/23/2024] Open
Abstract
The rapid acceleration of global warming has led to an increased burden of high temperature-related diseases (HTDs), highlighting the need for advanced evidence-based management strategies. We have developed a conceptual framework aimed at alleviating the global burden of HTDs, grounded in the One Health concept. This framework refines the impact pathway and establishes systematic data-driven models to inform the adoption of evidence-based decision-making, tailored to distinct contexts. We collected extensive national-level data from authoritative public databases for the years 2010-2019. The burdens of five categories of disease causes - cardiovascular diseases, infectious respiratory diseases, injuries, metabolic diseases, and non-infectious respiratory diseases - were designated as intermediate outcome variables. The cumulative burden of these five categories, referred to as the total HTD burden, was the final outcome variable. We evaluated the predictive performance of eight models and subsequently introduced twelve intervention measures, allowing us to explore optimal decision-making strategies and assess their corresponding contributions. Our model selection results demonstrated the superior performance of the Graph Neural Network (GNN) model across various metrics. Utilizing simulations driven by the GNN model, we identified a set of optimal intervention strategies for reducing disease burden, specifically tailored to the seven major regions: East Asia and Pacific, Europe and Central Asia, Latin America and the Caribbean, Middle East and North Africa, North America, South Asia, and Sub-Saharan Africa. Sectoral mitigation and adaptation measures, acting upon our categories of Infrastructure & Community, Ecosystem Resilience, and Health System Capacity, exhibited particularly strong performance for various regions and diseases. Seven out of twelve interventions were included in the optimal intervention package for each region, including raising low-carbon energy use, increasing energy intensity, improving livestock feed, expanding basic health care delivery coverage, enhancing health financing, addressing air pollution, and improving road infrastructure. The outcome of this study is a global decision-making tool, offering a systematic methodology for policymakers to develop targeted intervention strategies to address the increasingly severe challenge of HTDs in the context of global warming.
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Affiliation(s)
- Xin-Chen Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Hao-Ran Qian
- School of Data Science, Fudan University, Shanghai, People's Republic of China
| | - Yan-Yan Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Qi-Yu Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Jing-Shu Liu
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Hong-Yu Lai
- School of Data Science, Fudan University, Shanghai, People's Republic of China
| | - Wei-Guo Zheng
- School of Data Science, Fudan University, Shanghai, People's Republic of China
| | - Jian Sun
- School of Data Science, Fudan University, Shanghai, People's Republic of China
| | - Bo Fu
- School of Data Science, Fudan University, Shanghai, People's Republic of China
| | - Xiao-Nong Zhou
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Xiao-Xi Zhang
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
- Institute of One Health, Shanghai Jiao Tong University, Shanghai, People's Republic of China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
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18
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Song M, Zheng L, Chen L, Zhang C, Chen X, Zhao C. Epidemiological characteristics of chronic non-communicable diseases in Dongfang, China, 2021: a cross-sectional survey. BMJ Open 2024; 14:e081710. [PMID: 38803260 PMCID: PMC11129020 DOI: 10.1136/bmjopen-2023-081710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 05/03/2024] [Indexed: 05/29/2024] Open
Abstract
OBJECTIVES The study aimed to understand the composition, epidemiological characteristics and disease burden of chronic non-communicable diseases and to evaluate the association between sociodemographic factors and chronic non-communicable diseases. DESIGN A cross-sectional study. SETTING AND PARTICIPANTS Medical records of 196 761 residents were collected from Dongfang disease surveillance system from January to December 2021. PRIMARY OUTCOME Prevalence and disability burden were recorded. Logistic regression was used to investigate the relationship between sociodemography factors and diseases. RESULTS Cardiovascular diseases, chronic lower respiratory diseases and other upper respiratory tract diseases were the main chronic non-communicable diseases. In multivariable analysis, men were associated with increased risk of cardiovascular diseases (OR=1.210, 95% CI 1.162 to 1.261) and chronic lower respiratory diseases (OR=1.128, 95% CI 1.079 to 1.180). Older age was associated with increased risk of cardiovascular diseases (OR=83.952, 95% CI 58.954 to 119.550), whereas was associated with decreased risk of chronic lower respiratory diseases (OR=0.442, 95% CI 0.415 to 0.471) and other upper respiratory tract diseases (OR=0.450, 95% CI 0.411 to 0.493). The unemployed and poor household were associated with decreased risk of cardiovascular diseases (OR=0.463, 95% CI 0.412 to 0.521 and OR=0.390, 95% CI 0.342 to 0.444, respectively), whereas were associated with increased risk of chronic lower respiratory diseases (OR=12.219, 95% CI 6.343 to 23.539 and OR=10.954, 95% CI 5.666 to 21.177, respectively) and other upper respiratory tract diseases (OR=2.246, 95% CI 1.719 to 2.936 and OR=3.035, 95% CI 2.308 to 3.991, respectively). Gender and age moderated the association between personnel category and major diseases. CONCLUSIONS The spectrum and epidemiological characteristics of chronic diseases observed in Dongfang is good evidence for developing prevention guides and health policies for region.
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Affiliation(s)
- Meixuan Song
- Department of Nursing, Tongji University School of Medicine, Shanghai, China
- Research Center for Translational Medicine, Tongji University Affilliated East Hospital, Shanghai, China
| | - Liang Zheng
- Research Center for Translational Medicine, Tongji University Affilliated East Hospital, Shanghai, China
| | - Lan Chen
- Department of Internal Medicine, Dongfang People's Hospital, Dongfang, Hainan, China
| | - Chunmei Zhang
- Dongfang Municipal Health Commission, Dongfang, Hainan, China
| | - Xingyi Chen
- Department of Medical, Tongji University Affilliated East Hospital, Shanghai, China
| | - Chunyan Zhao
- Department of Nursing, Tongji University Affilliated East Hospital, Shanghai, China
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Zhu S, Wang X, Liu G. The Protective Effects of Ganoderma lucidum Active Peptide GLP4 on Lung Injury Induced by Cadmium Poisoning in Mice. TOXICS 2024; 12:378. [PMID: 38922058 PMCID: PMC11209525 DOI: 10.3390/toxics12060378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/18/2024] [Accepted: 05/20/2024] [Indexed: 06/27/2024]
Abstract
Ganoderma triterpenes and spore powder have shown promising results in mitigating cadmium-induced renal and hepatic injuries. Ganoderma lucidum active peptide GLP4 is a natural protein with dual antioxidant activities derived from the mycelium of Ganoderma lucidum. However, its efficacy in alleviating cadmium-induced lung injury remains unexplored. This study aims to investigate the protective effects of GLP4 against cadmium-induced lung injury in mice. Mice were exposed to cadmium chloride via nebulization to induce lung injury. The protective effect of GLP4 was assessed by measuring the total cell count in BALF, levels of inflammatory cytokines, and the expression of NLRP3 in lung tissues a through histopathological examination of lung tissue changes. The results showed that GLP4 significantly mitigated histopathological damage in lung tissues, decreased the secretion of inflammatory cytokines, and reduced the expression of NLRP3, which was elevated in cadmium-exposed mice. In vitro studies further revealed that GLP4 inhibited the cadmium-induced activation of the NLRP3 inflammasome. Notably, acute cadmium exposure by the respiratory tract did not affect the liver and kidneys of the mice. The findings suggest that GLP4 reduces cadmium-induced lung injury in mice by inhibiting the activation of the NLRP3 inflammasome, which provides a theoretical foundation for using Ganoderma lucidum as a preventive and therapeutic agent against cadmium poisoning.
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Affiliation(s)
- Shirong Zhu
- Hunan Provincial Key Laboratory of Forestry Biotechnology, Central South University of Forestry & Technology, Changsha 410004, China; (S.Z.); (G.L.)
- International Cooperation Base of Science and Technology Innovation on Forest Resource Biotechnology of Hunan Province, Central South University of Forestry & Technology, Changsha 410004, China
| | - Xiaoling Wang
- Hunan Provincial Key Laboratory of Forestry Biotechnology, Central South University of Forestry & Technology, Changsha 410004, China; (S.Z.); (G.L.)
- International Cooperation Base of Science and Technology Innovation on Forest Resource Biotechnology of Hunan Province, Central South University of Forestry & Technology, Changsha 410004, China
| | - Gaoqiang Liu
- Hunan Provincial Key Laboratory of Forestry Biotechnology, Central South University of Forestry & Technology, Changsha 410004, China; (S.Z.); (G.L.)
- International Cooperation Base of Science and Technology Innovation on Forest Resource Biotechnology of Hunan Province, Central South University of Forestry & Technology, Changsha 410004, China
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20
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Zeng M, Lin Z, Li G, Tang J, Wu Y, Zhang H, Liu T. Risk/benefit trade-off of habitual physical activity and air pollution on mortality: A large-scale prospective analysis in the UK Biobank. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 279:116471. [PMID: 38772143 DOI: 10.1016/j.ecoenv.2024.116471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 05/13/2024] [Accepted: 05/14/2024] [Indexed: 05/23/2024]
Abstract
BACKGROUND Previous observational studies have indicated associations of physical activity (PA) and air pollution with mortality. A few studies have evaluated air pollution and PA interactions for health. Still, the trade-off between the harmful effects of air pollution exposure and the protective effects of PA remains controversial and unclear. OBJECTIVE This study aimed to investigate the joint association of air pollution and PA with mortality risks. METHODS This prospective cohort study included 322,092 participants from 2006 to 2010 and followed up to 2021 in the UK Biobank study. The concentrations of air pollutants (2006-2010), including particulate matter (PM) with diameters <=2.5 mm (PM2.5), <=10 mm (PM10), and between 2.5 and 10 mm (PM2.5-10), and nitrogen oxides (NO2 and NOx) were obtained. Information on PA measured by the International Physical Activity Questionnaire short form (2006-2010) and wrist-worn accelerometer (2013-2015) were collected. All-cause and cause-specific mortalities were recorded. Cox proportional hazard models were used to investigate the associations of air pollution exposure and PA with mortality risks. The additive and multiplicative interactions were also examined. RESULTS During a mean follow-up of 11.83 years, 16629 deaths were recorded. Compared with participants reporting low PA, higher PA was negatively associated with all-cause [hazard ratio (HR), 0.74; 95% CI, 0.71-0.78], cancer (HR, 0.85; 95% CI, 0.80-0.90), CVD (HR, 0.79; 95% CI, 0.71-0.87), and respiratory disease-specific mortality (HR, 0.51; 95% CI, 0.44-0.60). Exposure to PM2.5 (HR, 1.05; 95% CI, 1.00-1.09) and NOx (HR, 1.06; 95% CI, 1.02-1.10) was connected with increased all-cause mortality risk, and significant PM2.5-associated elevated risks for CVD mortality and NOx-associated elevated risks for respiratory disease mortality were observed. No obvious interaction between PA and PM2.5 or NOx exposure was detected. CONCLUSIONS Our study provides additional evidence that higher PA and lower air pollutant levels are independently connected with reduced mortality risk. The benefits of PA are not significantly affected by long-term air pollution exposure, indicating PA can be recommended to prevent mortality regardless of air pollution levels. Our findings highlight the importance of public health policies and interventions facilitating PA and reducing air pollution in reducing mortality risks and maximizing health benefits. Future investigation is urgently needed to identify these findings in areas with severe air pollution conditions.
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Affiliation(s)
- Min Zeng
- Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China
| | - Zhengjun Lin
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, People's Republic of China; Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, People's Republic of China
| | - Guoqing Li
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, People's Republic of China; Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, People's Republic of China
| | - Jinxin Tang
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, People's Republic of China; Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, People's Republic of China
| | - Yanlin Wu
- National Clinical Research Center for Metabolic Disease, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, People's Republic of China
| | - Hong Zhang
- Department of Statistics and Finance, School of Management, University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China.
| | - Tang Liu
- Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, People's Republic of China.
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21
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He BX, Ma JJ, Lai H, Li CG, Huang LX, Huang HN, Liu XQ, Zhou ZR, Xie YC, Kuang PP, Ou CQ, Fu QL. Association between daily 1-km resolution levels of ambient air pollution and hospital visits for allergic diseases. Allergy 2024; 79:1336-1338. [PMID: 37787017 DOI: 10.1111/all.15904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/13/2023] [Accepted: 09/19/2023] [Indexed: 10/04/2023]
Affiliation(s)
- Bi-Xin He
- Otorhinolaryngology Hospital and Department of Allergy, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jia-Jun Ma
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - He Lai
- Department of Allergy, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chan-Gu Li
- Otorhinolaryngology Hospital and Department of Allergy, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Long-Xin Huang
- Otorhinolaryngology Hospital and Department of Allergy, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hao-Neng Huang
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - Xiao-Qing Liu
- Otorhinolaryngology Hospital and Department of Allergy, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhi-Rou Zhou
- Otorhinolaryngology Hospital and Department of Allergy, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ying-Chun Xie
- Otorhinolaryngology Hospital and Department of Allergy, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Peng-Peng Kuang
- Otorhinolaryngology Hospital and Department of Allergy, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chun-Quan Ou
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China
| | - Qing-Ling Fu
- Otorhinolaryngology Hospital and Department of Allergy, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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22
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Zhao N, Wang C, Shi C, Liu X. The effect of education expenditure on air pollution: Evidence from China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 359:121006. [PMID: 38692028 DOI: 10.1016/j.jenvman.2024.121006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 04/04/2024] [Accepted: 04/21/2024] [Indexed: 05/03/2024]
Abstract
Education expenditure is essential in mitigating air pollution, but the relationship between education expenditure and air pollution lacks in-depth discussion. Utilizing data at the county level in China during 2007-2021, this study estimates the effect of education expenditure from local governments on air pollution. Our findings demonstrate that education expenditure significantly and negatively affects air pollution, which remains robust after addressing endogeneity. The mechanism analysis presents that education expenditure reduces air pollution through the composition, technique, and income effects. The heterogeneity analysis indicates that the impact of education expenditure exhibits marked regional heterogeneity. Specifically, the role of education expenditure is significant in strong regulation, key, eastern, and central regions. By considering interaction terms, we identify the moderating effects of human capital, economic development, infrastructure construction, and public service for education expenditure. The cost-benefit analysis emphasizes that education expenditure improves social welfare. Our findings can inspire local governments to place more emphasis on air quality and public education expenditure.
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Affiliation(s)
- Nan Zhao
- School of Statistics, Beijing Normal University, No. 19, Xinjiekouwai St, Haidian District, Beijing, 100875, PR China; Center for Education Economics and Statistics of China, No. 19, Xinjiekouwai St, Haidian District, Beijing, 100875, PR China
| | - Chenyang Wang
- School of Statistics, Beijing Normal University, No. 19, Xinjiekouwai St, Haidian District, Beijing, 100875, PR China; Center for Education Economics and Statistics of China, No. 19, Xinjiekouwai St, Haidian District, Beijing, 100875, PR China.
| | - Chunyan Shi
- School of Statistics, Beijing Normal University, No. 19, Xinjiekouwai St, Haidian District, Beijing, 100875, PR China; Center for Education Economics and Statistics of China, No. 19, Xinjiekouwai St, Haidian District, Beijing, 100875, PR China
| | - Xiaojie Liu
- College of Science, North China University of Technology, Beijing, 100144, PR China
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23
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Duan Y, Fu H, Jiang S, Yin Z, Wang S, Gao J, Yang M, Wang S, Mu Z, Chen C, Zhao Y, Wang C. Association between PM 10 pollution and the hospitalization of chronic obstructive pulmonary disease with comorbidity: evidence in 17 cities of Henan, Central China. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2024; 68:625-635. [PMID: 38147118 DOI: 10.1007/s00484-023-02610-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 12/01/2023] [Accepted: 12/17/2023] [Indexed: 12/27/2023]
Abstract
Particulate matter (PM10) changes have been confirmed as one of the contributory factors affecting human health, the association between PM10 pollution and the hospitalization of chronic obstructive pulmonary disease (COPD) with comorbidity diseases was rarely reported. The same inpatient more than twice times admissions with COPD illness from January 1, 2016 to December 31, 2021 were identified from hospitals in the 17 cities of Henan, Central China. City-specific associations were firstly estimated using the case time series (CTS) model and then combined to obtain the regional average association. The multivariate meta-analytic model produces pooled estimates of the set of coefficients representing the PM10-COPD hospitalizations association across the 17 cities. Cause-specific hospitalization analyses were performed by COPD patients with different comorbidity combinations. A total of 34,348 elderly (age ≥ 65) subjects were analyzed and with a total of 35,122.35 person-years. These coefficients can be used to compute the linear exposure-response curve expressed as relative risk (RR) in per 10 µg/m3 increase in PM10 at lag03, which was 1.0091 (95% CI 1.0070-1.0112) for COPD with comorbidity, 1.0089 (95% CI 1.0067-1.0110) for COPD with circulatory system diseases, 1.0079 (95% CI 1.0052-1.0105) for COPD with respiratory system diseases, 1.0076 (95% CI 1.0032-1.0121) for COPD with endocrine system diseases, and 1.0087 (95% CI 1.0013-1.0162) for COPD with genitourinary system diseases, respectively. Some heterogeneity was found across cities, with estimates ranging from 1.0227 in the Puyang and Jiaozuo to 1.0053 in Henan Provance, China. The effect of higher PM10, on average, was higher in studies for northern cities, with a steeper raise in risk: per 10 µg/m3 increase in PM10, the RR from 1.0062 (95% CI 1.0030-1.0093) for the 10th percentile of latitude to 1.0124 (95% CI 1.0089-1.0160) for the 90th percentile. Our findings indicated that PM10 exposure may increase the risk of hospitalizations for COPD with comorbidity. Moreover, there might be a higher morbidity risk associated with PM10 in northern latitudes, indicating that stricter air quality standards could potentially reduce PM10-related morbidity among individuals with COPD. These findings have implications for the implementation of effective clean air interventions aligned with national climate policies.
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Affiliation(s)
- Yanran Duan
- The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Zhengzhou, 450000, Henan Province, China
- Institute for Hospital Management of Henan Province, Zhengzhou, China
| | - Hang Fu
- The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Zhengzhou, 450000, Henan Province, China
- Institute for Hospital Management of Henan Province, Zhengzhou, China
| | - Shuai Jiang
- The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Zhengzhou, 450000, Henan Province, China
- Institute for Hospital Management of Henan Province, Zhengzhou, China
| | - Zhao Yin
- The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Zhengzhou, 450000, Henan Province, China
- Institute for Hospital Management of Henan Province, Zhengzhou, China
| | - Sufan Wang
- The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Zhengzhou, 450000, Henan Province, China
- Institute for Hospital Management of Henan Province, Zhengzhou, China
| | - Jinghong Gao
- The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Zhengzhou, 450000, Henan Province, China
- Institute for Hospital Management of Henan Province, Zhengzhou, China
| | - Mengyu Yang
- Zhengzhou University School of Public Health, Zhengzhou, China
| | - Suxian Wang
- Zhengzhou University School of Public Health, Zhengzhou, China
| | - Zihan Mu
- Operation Management Department, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, 450001, China
| | - Changying Chen
- The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Zhengzhou, 450000, Henan Province, China
- Institute for Hospital Management of Henan Province, Zhengzhou, China
| | - Yaojun Zhao
- Operation Management Department, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, 450001, China.
| | - Chengzeng Wang
- The First Affiliated Hospital of Zhengzhou University, 1 Jianshe Road, Zhengzhou, 450000, Henan Province, China.
- Institute for Hospital Management of Henan Province, Zhengzhou, China.
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Zhang Y, Lv Q, Yin Y, Wang H, Bueber MA, Phillips MR, Li T. Research in China about the biological mechanisms that potentially link socioenvironmental changes and mental health: a scoping review. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 45:100610. [PMID: 38699292 PMCID: PMC11064722 DOI: 10.1016/j.lanwpc.2022.100610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
China's rapid socioeconomic development since 1990 makes it a fitting location to summarise research about how biological changes associated with socioenvironmental changes affect population mental health and, thus, lay the groundwork for subsequent, more focused studies. An initial search identified 308 review articles in the international literature about biomarkers associated with 12 common mental health disorders. We then searched for studies conducted in China that assessed the association of the identified mental health related-biomarkers with socioenvironmental factors in English-language and Chinese-language databases. We located 1330 articles published between 1 January 1990 and 1 August 2021 that reported a total of 3567 associations between 56 specific biomarkers and 11 socioenvironmental factors: 3156 (88·5%) about six types of environmental pollution, 381 (10·7%) about four health-related behaviours (diet, physical inactivity, internet misuse, and other lifestyle factors), and 30 (0·8%) about socioeconomic inequity. Only 245 (18·4%) of the papers simultaneously considered the possible effect of the biomarkers on mental health conditions; moreover, most of these studies assessed biomarkers in animal models of mental disorders, not human subjects. Among the 245 papers, mental health conditions were linked with biomarkers of environmental pollution in 188 (76·7%), with biomarkers of health-related behaviours in 48 (19·6%), and with biomarkers of socioeconomic inequality in 9 (3·7%). The 604 biomarker-mental health condition associations reported (107 in human subjects and 497 in animal models) included 379 (62·7%) about cognitive functioning, 117 (19·4%) about anxiety, 56 (9·3%) about depression, 21 (3·5%) about neurodevelopmental conditions, and 31 (5·1%) about neurobehavioural symptoms. Improved understanding of the biological mechanisms linking socioenvironmental changes to community mental health will require expanding the range of socioenvironmental factors considered, including mental health outcomes in more of the studies about the association of biomarkers with socioenvironmental factors, and increasing the proportion of studies that assess mental health outcomes in humans.
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Affiliation(s)
- Yamin Zhang
- Department of Neurobiology and Affiliated Mental Health Center, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Qiuyue Lv
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yubing Yin
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Han Wang
- West China School of Medicine, Chengdu, Sichuan, China
| | - Marlys Ann Bueber
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Michael Robert Phillips
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Departments of Psychiatry and Epidemiology, Columbia University, New York, NY, USA
| | - Tao Li
- Department of Neurobiology and Affiliated Mental Health Center, Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Key Laboratory of Medical Neurobiology, Ministry of Education Frontier Science Center for Brain Science and Brain-machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, Zhejiang, China
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Fu X, Wang X, Liu T, He Q, Zhang Z, Zhang Y, Song W, Dai Q, Chen S, Dong F. Secondary inorganic aerosols and aerosol acidity at different PM 2.5 pollution levels during winter haze episodes in the Sichuan Basin, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 918:170512. [PMID: 38286278 DOI: 10.1016/j.scitotenv.2024.170512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/25/2024] [Accepted: 01/26/2024] [Indexed: 01/31/2024]
Abstract
Wintertime fine particle (PM2.5) pollution remains to be perplexing air quality problems in many parts of China. In this study, PM2.5 compositions and aerosol acidity at different pollution levels at an urban cite in the southwest China's Sichuan Basin were investigated during a sustained winter haze episode. Organic matter was the most abundant component of PM2.5, followed by nitrate, sulfate and ammonium. Shares of organic aerosol in PM2.5 mass decreased with the elevated PM2.5 levels, while the enhancements of sulfate and secondary organic aerosol were much less than that of nitrate and ammonium during heavy pollution with increased ratios of nitrate to sulfate, implying a significant role of nitrate in the haze formation. Results also suggest the nighttime chemistry might contribute substantially to the formation of nitrate under severe pollutions. The daily average aerosol pH showed a decreasing trend with the elevated levels of PM2.5, and this increased aerosl acidity was mainly due to the fast rising secondary inorganic aerosol (SIA) concentration, with the increase in hydronium ion concentration in air (Hair+) surpassing the dilution effect of elevated aerosol liquid water content (LWC). Thermodynamic model calculations revealed that the air environment was NH3-rich with total NHx (NH3 + NH4+) greater than required NHx, and the aerosol pH exponentially declined with the decreasing excess NHx (p < 0.01). This study demonstrated that under air stagnation and NH3-rich environment during winter, the raised relative humidity (RH) would lead to an increase in LWC and thereby facilitate the aqueous chemistry processes with the neutralization capacity of NH3 to form sulfate and nitrate, which would further increase the LWC and lower the pH. This self-amplifying SIA formation might be crucial to the severe PM2.5 pollution and haze events during winter, and therefore cutting both NOx and NH3 emissions would benefit stopping the self-amplification.
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Affiliation(s)
- Xiaoxin Fu
- Key Laboratory of Solid Waste Treatment and Resource Recycle, Ministry of Education, Southwest University of Science and Technology, Mianyang 621010, China
| | - Xinming Wang
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China.
| | - Tengyu Liu
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
| | - Quanfu He
- Institute for Energy and Climate Research, IEK-8, Forschungszentrum Jülich, Jülich 52425, Germany
| | - Zhou Zhang
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Yanli Zhang
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Wei Song
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Qunwei Dai
- Key Laboratory of Solid Waste Treatment and Resource Recycle, Ministry of Education, Southwest University of Science and Technology, Mianyang 621010, China
| | - Shu Chen
- Key Laboratory of Solid Waste Treatment and Resource Recycle, Ministry of Education, Southwest University of Science and Technology, Mianyang 621010, China
| | - Faqin Dong
- Key Laboratory of Solid Waste Treatment and Resource Recycle, Ministry of Education, Southwest University of Science and Technology, Mianyang 621010, China
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Feng Y, Zhang W, Wei J, Jiang D, Tong S, Huang C, Xu Z, Wang X, Tao J, Li Z, Hu J, Zhang Y, Cheng J. Medium-term exposure to size-fractioned particulate matter and asthma exacerbations in China: A longitudinal study of asthmatics with poor medication adherence. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 274:116234. [PMID: 38503107 DOI: 10.1016/j.ecoenv.2024.116234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/11/2024] [Accepted: 03/14/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND Studies have shown that short- and long-term exposure to particulate matter (PM) can increase the risk of asthma morbidity and mortality. However, the effect of medium-term exposure remains unknown. We aim to examine the effect of medium-term exposure to size-fractioned PM on asthma exacerbations among asthmatics with poor medication adherence. METHODS We conducted a longitudinal study in China based on the National Mobile Asthma Management System Project that specifically and routinely followed asthma exacerbations in asthmatics with poor medication adherence from April 2017 to May 2019. High-resolution satellite remote-sensing data were used to estimate each participant's medium-term exposure (on average 90 days) to size-fractioned PM (PM1, PM2.5, and PM10) based on the residential address and the date of the follow-up when asthma exacerbations (e.g., hospitalizations and emergency room visits) occurred or the end of the follow-up. The Cox proportional hazards model was employed to examine the hazard ratio of asthma exacerbations associated with each PM after controlling for sex, age, BMI, education level, geographic region, and temperature. RESULTS Modelling results revealed nonlinear exposure-response associations of asthma exacerbations with medium-term exposure to PM1, PM2.5, and PM10. Specifically, for emergency room visits, we found an increased hazard ratio for PM1 above 22.8 µg/m3 (1.060, 95 % CI: 1.025-1.096, per 1 µg/m3 increase), PM2.5 above 38.2 µg/m3 (1.032, 95 % CI: 1.010-1.054), and PM10 above 78.6 µg/m3 (1.019, 95 % CI: 1.006-1.032). For hospitalizations, we also found an increased hazard ratio for PM1 above 20.3 µg/m3 (1.055, 95 % CI: 1.001-1.111) and PM2.5 above 39.2 µg/m3 (1.038, 95 % CI: 1.003-1.074). Furthermore, the effects of PM were greater for a longer exposure window (90-180 days) and among participants with a high BMI. CONCLUSION This study suggests that medium-term exposure to PM is associated with an increased risk of asthma exacerbations in asthmatics with poor medication adherence, with a higher risk from smaller PM.
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Affiliation(s)
- Yufan Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Wenyi Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA
| | - Dingyuan Jiang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Center for Respiratory Medicine, Beijing, China
| | - Shilu Tong
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Zhiwei Xu
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia
| | - Xiling Wang
- School of Public Health, Key Laboratory of Public Health Safety, Fudan University, Ministry of Education, Shanghai, China
| | - Junwen Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Zhiwei Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Jihong Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China
| | - Yongming Zhang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital; National Clinical Research Center for Respiratory Diseases, Beijing, 100029, China.
| | - Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Major Autoimmune Disease, Hefei, China.
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Lu P, Miao J, Yang L, Dou S, Yang L, Wang C, Xiang H, Chen G, Ye T, Yan L, Li S, Guo Y. Cohort profile: China undergraduate cohort for environmental health study. BMC Public Health 2024; 24:828. [PMID: 38491371 PMCID: PMC10943771 DOI: 10.1186/s12889-024-17915-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 01/29/2024] [Indexed: 03/18/2024] Open
Abstract
The China Undergraduate Cohort (CUC) is an ambispective cohort study with its major purpose to better understand the effects of lifetime environmental exposures on health outcomes. We recruited 5322 college students with an average age of 18.3 ± 0.7 years in China from August 23, 2019 to October 28, 2019. Follow-up surveys were conducted annually. The dataset comprises individual demographic data (e.g. age, sex, height, weight, birth date, race, home address, annual family income, contact information), health-related behavior data (smoking status, smoking cessation, passive smoking exposure, drinking habit, physical activity, dietary status), lifestyle data (physical exercise, dietary habit, length of time spent outdoors), disease history (respiratory disease history, cardiovascular disease history, urinary system disease history, etc.), mental health status data (sleep quality, self-reported stress, anxiety and depression symptoms), lung function and blood samples data. Preliminary results from our cohort have found the association between air pollution, summer heat and mercury exposure and lung function among young adults in China.
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Affiliation(s)
- Peng Lu
- School of Public Health, Binzhou Medical University, 346# Guanhai Rd, Shandong, Yantai, China.
| | - Jiaming Miao
- School of Public Health, Binzhou Medical University, 346# Guanhai Rd, Shandong, Yantai, China
| | - Liu Yang
- School of Public Health, Binzhou Medical University, 346# Guanhai Rd, Shandong, Yantai, China
| | - Siqi Dou
- School of Public Health, Binzhou Medical University, 346# Guanhai Rd, Shandong, Yantai, China
| | - Lei Yang
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, 115 Donghu Road, Wuhan, Hubei, China
| | - Gongbo Chen
- Department of Global Health, School of Public Health, Wuhan University, 115 Donghu Road, Wuhan, Hubei, China
| | - Tingting Ye
- Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, 3004, Melbourne, VIC, Australia
| | - Lailai Yan
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, China
| | - Shanshan Li
- Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, 3004, Melbourne, VIC, Australia
| | - Yuming Guo
- School of Public Health, Binzhou Medical University, 346# Guanhai Rd, Shandong, Yantai, China.
- Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, 3004, Melbourne, VIC, Australia.
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Laguna JC, García-Pardo M, Alessi J, Barrios C, Singh N, Al-Shamsi HO, Loong H, Ferriol M, Recondo G, Mezquita L. Geographic differences in lung cancer: focus on carcinogens, genetic predisposition, and molecular epidemiology. Ther Adv Med Oncol 2024; 16:17588359241231260. [PMID: 38455708 PMCID: PMC10919138 DOI: 10.1177/17588359241231260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 01/22/2024] [Indexed: 03/09/2024] Open
Abstract
Lung cancer poses a global health challenge and stands as the leading cause of cancer-related deaths worldwide. However, its incidence, mortality, and characteristics are not uniform across all regions worldwide. Understanding the factors contributing to this diversity is crucial in a prevalent disease where most cases are diagnosed in advanced stages. Hence, prevention and early diagnosis emerge as the most efficient strategies to enhance outcomes. In Western societies, tobacco consumption constitutes the primary risk factor for lung cancer, accounting for up to 90% of cases. In other geographic locations, different significant factors play a fundamental role in disease development, such as individual genetic predisposition, or exposure to other carcinogens such as radon gas, environmental pollution, occupational exposures, or specific infectious diseases. Comprehensive clinical and molecular characterization of lung cancer in recent decades has enabled us to distinguish different subtypes of lung cancer with distinct phenotypes, genotypes, immunogenicity, treatment responses, and survival rates. The ultimate goal is to prevent and individualize lung cancer management in each community and improve patient outcomes.
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Affiliation(s)
- Juan Carlos Laguna
- Medical Oncology Department, Hospital Clinic of Barcelona, Barcelona, Spain
- Laboratory of Translational Genomics and Targeted Therapies in Solid Tumors, IDIBAPS, Barcelona, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Miguel García-Pardo
- Department of Medical Oncology, Hospital Universitario Ramón y Cajal, Madrid, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Joao Alessi
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute
| | - Carlos Barrios
- School of Medicine, Porto Alegre, Rio Grande do Sul, Brazil
| | - Navneet Singh
- Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | | | - Herbert Loong
- Department of Clinical Oncology, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Miquel Ferriol
- Laboratory of Translational Genomics and Targeted Therapies in Solid Tumors, IDIBAPS, Barcelona, Spain
- Barcelona Neural Networking Center, Universitat Politècnica de Catalunya, Barcelona, Spain
| | | | - Laura Mezquita
- Medical Oncology Department, Hospital Clinic of Barcelona, Calle Villarroel 170, Barcelona 08036, Spain
- Laboratory of Translational Genomics and Targeted Therapies in Solid Tumors, IDIBAPS, Barcelona, Spain
- Department of Medicine, University of Barcelona, Barcelona, Spain
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Jung J, Kim G, Kang SW, Jeong S, Kang Y, Lee JY, Myung W, Kim H, Lee H. Short-term exposure to ambient air pollution and injuries due to external causes according to intentions and mechanisms. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169202. [PMID: 38097073 DOI: 10.1016/j.scitotenv.2023.169202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 12/06/2023] [Accepted: 12/06/2023] [Indexed: 12/18/2023]
Abstract
Although injuries are a leading cause of death and affect the life expectancy of individuals who live with disabilities globally, the potential role of air pollution exposure on injuries due to external causes has received little scientific attention, especially compared with that given to the association of air pollution and non-external causes of morbidity and mortality. We investigated the association between emergency department visits for externally caused injuries and short-term exposure to major ambient air pollutants, with focus on the intentions and mechanisms of injuries. We identified 2,049,855 injured patients in Seoul, South Korea between 2008 and 2016 using the National Emergency Database. Daily short-term exposure to air pollution including particles <10 μm (PM10) and <2.5 μm (PM2.5), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and ozone (O3) was estimated based on hourly concentrations. We employed a time-stratified case-crossover study design using a conditional Poisson regression model adjusted for meteorological variables, influenza epidemics, and holidays. Immediate exposure (lag 0) to most pollutants significantly increased the risk of total injuries (PM2.5, 0.42 %; NO2, 0.68 %; SO2, 1.05 %; CO, 0.57 %; O3, 1.86 % per interquartile range increment), and the associations differed according to the intention and mechanism of injury. Unintentional and assault injuries were significantly associated with air pollution exposure, whereas self-harm injuries showed no association. In mechanism-specific analyses, injuries caused by falls, blunt objects, penetration, traffic accidents, machinery, and slips were associated with specific air pollutants, even in the co-pollutant models. The associations were stronger in injured patients aged <15 years, and in males than in their counterparts. Our results suggest that short-term air pollution exposure might play a role in the risk of externally caused injuries and the association may differ depending on the intention and mechanism of injury, which provide important evidence for injury prevention and air quality strategies.
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Affiliation(s)
- Jiyun Jung
- Clinical Trial Center, Dongguk University Ilsan Hospital, Goyang, South Korea; Research Center for Chronic Disease and Environmental Medicine, Dongguk University College of Medicine, Gyeongju, South Korea
| | - Gyeongchan Kim
- Department of Health Administration and Management, Soonchunhyang University Graduate School, Asan, South Korea
| | - Sun-Woo Kang
- Department of Health Administration and Management, Soonchunhyang University Graduate School, Asan, South Korea
| | - Subin Jeong
- Department of Health Administration and Management, Soonchunhyang University Graduate School, Asan, South Korea
| | - Yoonjung Kang
- Department of Health Administration and Management, Soonchunhyang University Graduate School, Asan, South Korea
| | - Jun-Young Lee
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, South Korea
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Ho Kim
- Department of Public Health Science, School of Public Health, Seoul National University, Seoul, South Korea
| | - Hyewon Lee
- Department of Health Administration and Management, Soonchunhyang University Graduate School, Asan, South Korea; Department of Health Administration and Management, College of Medical Sciences, Soonchunhyang University, Asan, South Korea; Department of Software Convergence, Soonchunhyang University Graduate School, Asan, South Korea.
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Jin T, Pang Q, Huang W, Xing D, He Z, Cao Z, Zhang T. Particulate matter 2.5 causally increased genetic risk of autism spectrum disorder. BMC Psychiatry 2024; 24:129. [PMID: 38365642 PMCID: PMC10870670 DOI: 10.1186/s12888-024-05564-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 01/28/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Growing evidence suggested that particulate matter (PM) exhibit an increased risk of autism spectrum disorder (ASD). However, the causal association between PM and ASD risk remains unclear. METHODS We performed two-sample Mendelian randomization (MR) analyses, using instrumental variables (IVs) sourced from the largest genome-wide association studies (GWAS) databases. We employed three MR methods: inverse-variance weighted (IVW), weighted median (WM), and MR-Egger, with IVW method serving as our primary MR method. Sensitivity analyses were performed to ensure the stability of these findings. RESULTS The MR results suggested that PM2.5 increased the genetic risk of ASD (β = 2.41, OR = 11.13, 95% CI: 2.54-48.76, P < 0.01), and similar result was found for PM2.5 absorbance (β = 1.54, OR = 4.67, 95% CI: 1.21-18.01, P = 0.03). However, no such association was found in PM10 (β = 0.27, OR = 1.30, 95% CI: 0.72-2.36, P = 0.38). After adjusting for the false discovery rate (FDR) correction, our MR results remain consistent. Sensitivity analyses did not find significant heterogeneity or horizontal pleiotropy. CONCLUSIONS Our findings indicate that PM2.5 is a potential risk factor for ASD. Effective strategies to mitigate air pollutants might lead to a reduced incidence of ASD.
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Affiliation(s)
- Tianyu Jin
- Department of Rehabilitation Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- Department of Neurological rehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Qiongyi Pang
- Department of Rehabilitation Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- Department of Neurological rehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Wei Huang
- Drum Tower Clinical Medical College, Nanjing Medical University, Nanjing, China
- Department of Medicine and Health, University of Sydney, Sydney, Australia
| | - Dalin Xing
- Department of Rehabilitation Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- Department of Neurological rehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Zitian He
- Department of Rehabilitation Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- Department of Neurological rehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Zheng Cao
- The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Tong Zhang
- Department of Rehabilitation Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
- Department of Neurological rehabilitation, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China.
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Liu Y, Wen H, Bai J, Sun J, Chen J, Yu C. Disease Burden and Prediction Analysis of Tracheal, Bronchus, and Lung Cancer Attributable to Residential Radon, Solid Fuels, and Particulate Matter Pollution Under Different Sociodemographic Transitions From 1990 to 2030. Chest 2024; 165:446-460. [PMID: 37806491 DOI: 10.1016/j.chest.2023.09.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 09/22/2023] [Accepted: 09/24/2023] [Indexed: 10/10/2023] Open
Abstract
BACKGROUND This study investigated the impact of epidemiologic and sociodemographic changes in tracheal, bronchus, and lung cancer associated with residential radon, solid fuels, and particulate matter. RESEARCH QUESTION What are the influencing factors of tracheal, bronchus, and lung cancer disease burden attributable to the three pollutants? STUDY DESIGN AND METHODS Data were obtained from the Global Burden of Disease 2019. Age-standardized mortality rate (ASMR) and sociodemographic index (SDI) values were collected from 21 regions, and restricted cubic splines and quantile regression were used to investigate the relationship between ASMR or age-standardized disability-adjusted life years rate (ASDR), and SDI. Additionally, five countries with different SDIs were selected, and the Bayesian age-period-cohort model was used to predict the ASMR trends from 2020 to 2030. RESULTS High SDI quintiles were associated with increased residential radon pollution. The disease burden attributed to these three pollutants was particularly severe in the middle SDI quintiles. Older adults aged 80 to 89 years had the highest age-specific mortality, and the disease burden was greater in male patients than in female patients with these cancers attributed to the pollutants. The highest ASMR attributable to particulate matter when the SDI was 0.7. As the SDI increased, the disease burden caused by radon increased, whereas the burden caused by solid fuels decreased. Projections have indicated a rise in the death burden in patients with this cancer from particulate pollution in China, India, and Uganda over the next decade. INTERPRETATION The disease burden of tracheal, bronchus, and lung cancer attributed to the three pollutants was influenced by SDI, sex, and age. Older men are more susceptible to be affected. More preventive interventions may be required for men at younger ages to reduce the high death burden of older men. However, it is necessary to give due attention to women in specific countries in the future.
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Affiliation(s)
- Yan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China; Hunan Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Haoyu Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Jianjun Bai
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Jinyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Jiahao Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
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Zhang Y, Yang X, Jiang W, Gao X, Yang B, Feng XL, Yang L. Short-term effects of air pollutants on hospital admissions for asthma among older adults: a multi-city time series study in Southwest, China. Front Public Health 2024; 12:1346914. [PMID: 38347929 PMCID: PMC10859495 DOI: 10.3389/fpubh.2024.1346914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/12/2024] [Indexed: 02/15/2024] Open
Abstract
Background This study aimed to explore the relationship between air pollution and hospital admissions for asthma in older adults, and to further assess the health and economic burden of asthma admissions attributable to air pollution. Methods We collected information on asthma cases in people over 65 years of age from nine cities in Sichuan province, as well as air pollution and meteorological data. The relationship between short-term air pollutant exposure and daily asthma hospitalizations was analyzed using the generalized additive model (GAM), and stratified by gender, age, and season. In addition, we assessed the economic burden of hospitalization for air pollution-related asthma in older adults using the cost of disease approach. Results The single pollutant model showed that every 1 mg/m3 increase in CO was linked with an increase in daily hospitalizations for older adults with asthma, with relative risk values of 1.327 (95% CI: 1.116-1.577) at lag7. Each 10 μg/m3 increase in NO2, O3, PM10, PM2.5 and SO2, on asthma hospitalization, with relative risk values of 1.044 (95% CI: 1.011-1.078), 1.018 (95% CI: 1.002-1.034), 1.013 (95% CI: 1.004-1.022), 1.015 (95% CI: 1.003-1.028) and 1.13 (95% CI: 1.041-1.227), respectively. Stratified analysis shows that stronger associations between air pollution and asthma HAs among older adult in females, those aged 65-69 years, and in the warm season, although all of the differences between subgroups did not reach statistical significance. During the study period, the number of asthma hospitalizations attributable to PM2.5, PM10, and NO2 pollution was 764, 581 and 95, respectively, which resulted in a total economic cost of 6.222 million CNY, 4.73 million CNY and 0.776 million CNY, respectively. Conclusion This study suggests that short-term exposure to air pollutants is positively associated with an increase in numbers of asthma of people over 65 years of age in Sichuan province, and short-term exposure to excessive PM and NO2 brings health and economic burden to individuals and society.
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Affiliation(s)
- Yuqin Zhang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xi Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Wanyanhan Jiang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xi Gao
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Biao Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xing Lin Feng
- School of Public Health, Peking University, Beijing, China
| | - Lian Yang
- School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Wright CY, Kapwata T, Naidoo N, Asante KP, Arku RE, Cissé G, Simane B, Atuyambe L, Berhane K. Climate Change and Human Health in Africa in Relation to Opportunities to Strengthen Mitigating Potential and Adaptive Capacity: Strategies to Inform an African "Brains Trust". Ann Glob Health 2024; 90:7. [PMID: 38312714 PMCID: PMC10836170 DOI: 10.5334/aogh.4260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 12/20/2023] [Indexed: 02/06/2024] Open
Abstract
Background Africa faces diverse and complex population/human health challenges due to climate change. Understanding the health impacts of climate change in Africa in all its complexity is essential for implementing effective strategies and policies to mitigate risks and protect vulnerable populations. This study aimed to outline the major climate change-related health impacts in Africa in the context of economic resilience and to seek solutions and provide strategies to prevent or reduce adverse effects of climate change on human health and well-being in Africa. Methods For this narrative review, a literature search was conducted in the Web of Science, Scopus, CAB Abstracts, MEDLINE and EMBASE electronic databases. We also searched the reference lists of retrieved articles for additional records as well as reports. We followed a conceptual framework to ensure all aspects of climate change and health impacts in Africa were identified. Results The average temperatures in all six eco-regions of Africa have risen since the early twentieth century, and heat exposure, extreme events, and sea level rise are projected to disproportionately affect Africa, resulting in a larger burden of health impacts than other continents. Given that climate change already poses substantial challenges to African health and well-being, this will necessitate significant effort, financial investment, and dedication to climate change mitigation and adaptation. This review offers African leaders and decision-makers data-driven and action-oriented strategies that will ensure a more resilient healthcare system and safe, healthy populations-in ways that contribute to economic resiliency. Conclusions The urgency of climate-health action integrated with sustainable development in Africa cannot be overstated, given the multiple economic gains from reducing current impacts and projected risks of climate change on the continent's population health and well-being. Climate action must be integrated into Africa's development plan to meet the Sustainable Development Goals, protect vulnerable populations from the detrimental effects of climate change, and promote economic development.
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Affiliation(s)
- Caradee Y. Wright
- Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa
| | - Thandi Kapwata
- Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa
- Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa
| | - Natasha Naidoo
- Environment and Health Research Unit, South African Medical Research Council, Durban, South Africa
| | | | - Raphael E. Arku
- School of Public Health & Health Sciences, University of Massachusetts Amherst, USA
| | - Guéladio Cissé
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | | | - Lynn Atuyambe
- Makerere University, School of Public Health, Uganda
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Xia H, Chen X, Wang Z, Chen X, Dong F. A Multi-Modal Deep-Learning Air Quality Prediction Method Based on Multi-Station Time-Series Data and Remote-Sensing Images: Case Study of Beijing and Tianjin. ENTROPY (BASEL, SWITZERLAND) 2024; 26:91. [PMID: 38275499 PMCID: PMC11154360 DOI: 10.3390/e26010091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 01/16/2024] [Accepted: 01/20/2024] [Indexed: 01/27/2024]
Abstract
The profound impacts of severe air pollution on human health, ecological balance, and economic stability are undeniable. Precise air quality forecasting stands as a crucial necessity, enabling governmental bodies and vulnerable communities to proactively take essential measures to reduce exposure to detrimental pollutants. Previous research has primarily focused on predicting air quality using only time-series data. However, the importance of remote-sensing image data has received limited attention. This paper proposes a new multi-modal deep-learning model, Res-GCN, which integrates high spatial resolution remote-sensing images and time-series air quality data from multiple stations to forecast future air quality. Res-GCN employs two deep-learning networks, one utilizing the residual network to extract hidden visual information from remote-sensing images, and another using a dynamic spatio-temporal graph convolution network to capture spatio-temporal information from time-series data. By extracting features from two different modalities, improved predictive performance can be achieved. To demonstrate the effectiveness of the proposed model, experiments were conducted on two real-world datasets. The results show that the Res-GCN model effectively extracts multi-modal features, significantly enhancing the accuracy of multi-step predictions. Compared to the best-performing baseline model, the multi-step prediction's mean absolute error, root mean square error, and mean absolute percentage error increased by approximately 6%, 7%, and 7%, respectively.
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Affiliation(s)
- Hanzhong Xia
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China; (H.X.); (Z.W.)
| | - Xiaoxia Chen
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China; (H.X.); (Z.W.)
| | - Zhen Wang
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China; (H.X.); (Z.W.)
| | - Xinyi Chen
- School of Mathematics and Statistics, Ningbo University, Ningbo 315211, China;
| | - Fangyan Dong
- Faculty of Mechanical Engineering and Mechanics, Ningbo University, Ningbo 315211, China
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Fang H, Jiang D, He Y, Wu S, Li Y, Zhang Z, Chen H, Zheng Z, Sun Y, Wang W. Association of ambient air pollution and pregnancy rate among women undergoing assisted reproduction technology in Fujian, China: A retrospective cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168287. [PMID: 37924883 DOI: 10.1016/j.scitotenv.2023.168287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/19/2023] [Accepted: 10/31/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND Previous studies have reported the impact of ambient air pollutants on assisted reproduction. They concentrated on highly polluted environments and individual pollutants. It is unclear whether these effects continue at lower levels and as mixed effects. We aimed to study the influence of lower pollutant concentrations on pregnancy rates and identify vulnerable populations. METHODS We conducted a retrospective cohort study involving 9465 patients with infertility who received treatment from a local hospital between 2015 and 2021. Daily average levels of six pollutants (PM2.5, PM10, NO2, CO, SO2, and O3) were collected from air quality monitoring stations. We employed generalized linear regression models (logistic, linear, and lasso), weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) to assess the impact of pollutants on pregnancy rates. Additionally, stratified analyses were performed to identify potentially vulnerable populations. RESULTS Findings from the generalized linear models revealed a significant negative correlation between interquartile range increment exposure to PM2.5 (OR = 1.17, 95 % CI = 1.09-1.26), PM10 (OR = 1.18, 95 % CI = 1.11-1.26), NO2 (OR = 1.21, 95 % CI = 1.13-1.30), CO (OR = 1.02, 95 % CI = 1.00-1.03), SO2 (OR = 1.11, 95 % CI = 1.05-1.17) and pregnancy rate when considering the effects of individual pollutants. The WQS index exhibited a negative correlation with pregnancy rates and the number of oocytes retrieved (aOR = 1.20, 95 % CI = 1.08-1.34). BKMR analyses indicated an overall significant trend of decreasing pregnancy rates as pollutant concentrations increased across percentiles. Stratified analysis unveiled heightened sensitivity to pollutants among individuals aged ≥35 years. CONCLUSIONS By comparing results obtained from diverse models, we observed that exposure to lower levels of air pollutants led to decreased pregnancy rates. Notably, PM10, NO2, SO2, and CO emerged as the four most prominent pollutants in this context. Moreover, stratified analyses highlighted that individuals aged ≥35 years exhibited heightened susceptibility to pollutants.
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Affiliation(s)
- Hua Fang
- Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Dongdong Jiang
- Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Ye He
- Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Siyi Wu
- Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Yuehong Li
- Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China; Fujian Key Laboratory of Prenatal Diagnosis and Birth Defect, Fuzhou, Fujian, China
| | - Ziqi Zhang
- Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Haoting Chen
- Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Zixin Zheng
- Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Yan Sun
- Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China; Fujian Key Laboratory of Prenatal Diagnosis and Birth Defect, Fuzhou, Fujian, China
| | - Wenxiang Wang
- Fujian Province Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China; Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China.
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Elahi E, Li G, Han X, Zhu W, Liu Y, Cheng A, Yang Y. Decoupling livestock and poultry pollution emissions from industrial development: A step towards reducing environmental emissions. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 350:119654. [PMID: 38016232 DOI: 10.1016/j.jenvman.2023.119654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 11/15/2023] [Accepted: 11/16/2023] [Indexed: 11/30/2023]
Abstract
China has implemented policies like Leading areas for Agricultural Green Development (LAGD) to mitigate livestock and poultry farming pollution while promoting industry growth. However, it remains uncertain whether LAGDs have successfully balanced emission reduction with stable development. This study examines 165 LAGDs to analyze changes in emissions, assess the decoupling of emission reduction from output value, and identify influencing factors. Findings reveal that emissions from livestock and poultry in LAGDs initially increased and then decreased between 2010 and 2019. Cattle were responsible for over 40% of fecal emissions, and pigs for more than 20%. Additionally, pigs contributed to over 61% of urine emissions. From 2010 to 2014, increases in chemical oxygen demand were mainly due to pigs and cattle. Total nitrogen levels were significantly impacted by cattle, while pigs were affected by total phosphorus. From 2014 to 2019, reductions in emissions were largely attributed to a decrease in pig-related pollutants. The decoupling status shifted from strong to weak and then back to strong between 2014 and 2019. Production efficiency played a crucial role in reducing emissions, while changes in industrial structure moved from supporting to hindering this reduction. Economic development was a primary factor in driving these changes. Standard emissions in Chinese regions showed a rising and then declining trend from 2010 to 2019. The Northeast and Northwest regions of China demonstrated emission trends that were in sync with the growth in rural income. This study offers insights into the successes and challenges of LAGDs in achieving a balance between reduced emissions and development, using quantitative analysis. The findings are instrumental in informing policies for a sustainable livestock and poultry industry. Recommendations include evaluating coordinated approaches to pollution reduction and industrial growth, setting decoupling goals, designing policies based on influential factors, conducting regional assessments of livestock and poultry demand, and implementing region-specific strategies.
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Affiliation(s)
- Ehsan Elahi
- School of Economics, Shandong University of Technology (SDUT), Zibo, 255049, Shandong, China.
| | - Guojing Li
- State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Xinru Han
- Institute of Agricultural Economics and Development, Chinese Academy of Agricultural Sciences, Beijing, 100081, China; Center for Strategic Studies, Chinese Academy of Agricultural Sciences, Beijing, 100081, China; Chinese Institute of Agricultural Development Strategies, Beijing 100081, China.
| | - Wenbo Zhu
- Rural Development Institute, Chinese Academy of Social Sciences, Beijing, China.
| | - Yang Liu
- State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - An Cheng
- Wu Jinglian School of Economics, Changzhou University, Changzhou, China.
| | - Yadong Yang
- State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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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] [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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Zhou J, Liu J, Zhou Y, Xu J, Song Q, Peng L, Ye X, Yang D. The impact of fine particulate matter on chronic obstructive pulmonary disease deaths in Pudong New Area, Shanghai, during a long period of air quality improvement. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 340:122813. [PMID: 37898429 DOI: 10.1016/j.envpol.2023.122813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 10/30/2023]
Abstract
Chronic obstructive pulmonary disease (COPD) deaths attributed to fine particulate matter (with an aerodynamic equivalent diameter <2.5 μm, PM2.5) exposure are a common global public health concern. Recent improvements in air quality and the corresponding health benefits have received much attention. Thus, we have explored the trends of PM2.5 pollution improvement on COPD deaths during an important period of air pollution control (2008-2017) in Pudong New Area, Shanghai, China. Data, including daily COPD death counts, meteorological variables, and ambient air pollutants, were collected from 2008 to 2017. Generalized additive models were fitted to evaluate the percent change (%) in pollution-related COPD deaths. The results showed that the number of days with daily PM2.5 concentrations <35 μg/m3 increased from 19 days (5.19%) in 2008 to 166 days (45.48%) in 2017, and PM2.5 concentrations >75 μg/m3 decreased from 222 days (60.66%) in 2008 to 33 days (9.04%) in 2017. The associations in the overall period between 2008 and 2017 was significant. In subperiod analysis, each 10 μg/m3 increment in PM2.5 was associated with a percent change (%) of 0.89 (95% confidence interval [CI], 0.37, 1.42) at lag 5 and 0.78 (95% CI, 0.26, 1.30) at lag 6 during 2008-2013. Significant results were also found at lag 0-5 [percent change (%), 1.12 (95% CI, 0.09, 2.17)], lag 0-6 [percent change (%), 1.52 (95% CI, 0.43, 2.62)] and lag 0-7 [percent change (%), 1.72 (95% CI, 0.57, 2.88)] during 2008-2013. By contrast, no significant association was found between 2014 and 2017. In conclusion, the decreased COPD deaths associated with PM2.5 exposure were found, especially after the air quality improvement turning point in 2014.
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Affiliation(s)
- Ji Zhou
- Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, China; Shanghai Typhoon Institute, CMA, Shanghai, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, China.
| | - Jiangtao Liu
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yi Zhou
- Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China
| | - Jianming Xu
- Shanghai Typhoon Institute, CMA, Shanghai, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, China
| | - Quanquan Song
- Guangyuan Mental Health Center, Guangyuan, 628000, China
| | - Li Peng
- Shanghai Typhoon Institute, CMA, Shanghai, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, China
| | - Xiaofang Ye
- Shanghai Typhoon Institute, CMA, Shanghai, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, China
| | - Dandan Yang
- Shanghai Typhoon Institute, CMA, Shanghai, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai, China
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Pu L, Yi F, Yu WJ, Li YJ, Tu YH, Xu AH, Wang Y. Endoplasmic reticulum stress mediates environmental particle-induced inflammatory response in bronchial epithelium. J Immunotoxicol 2023; 20:2229428. [PMID: 37417782 DOI: 10.1080/1547691x.2023.2229428] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 06/16/2023] [Indexed: 07/08/2023] Open
Abstract
While the detailed mechanisms for how particulate matter (PM) causes adverse health effects in the lungs remain largely unknown, endoplasmic reticulum (ER) stress has been implicated in PM-induced lung injury. The present study was undertaken to examine how/if ER stress might regulate PM-induced inflammation, and to begin to define potential underlying molecular mechanisms. Here, ER stress hallmarks were examined in human bronchial epithelial (HBE) cells exposed to PM. To confirm roles of certain pathways, siRNA targeting ER stress genes and an ER stress inhibitor were employed. Expression of select inflammatory cytokines and related signaling pathway components by the cells were assessed as well. The results showed that PM exposure induced elevations in two ER stress hallmarks, i.e. GRP78 and IRE1α, in time-and/or dose-related manners in the HBE cells. Inhibition of ER stress by siRNA for GRP78 or IRE1α significantly alleviated the PM-induced effects. Further, ER stress appeared to regulate PM-induced inflammation - likely through downstream autophagy and NF-κB pathways - as implied by studies showing that inhibition of ER stress by siRNA of GRP78 or IRE1α caused significant amelioration of PM-induced autophagy and subsequent activation of NF-κB pathways. Moreover, the ER stress inhibitor 4-PBA were used to confirm the protective effects against PM-induced outcomes. Together, the results suggest ER stress plays a deleterious role in PM-induced airway inflammation, possibly through activation of autophagy and NF-κB signaling. Accordingly, protocols/treatments that could lead to inhibited ER stress could potentially be effective for treatment of PM-related airway disorders.
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Affiliation(s)
- Li Pu
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Anhui Medical University, and Anhui Medical University, Hefei, China
| | - Fen Yi
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Anhui Medical University, and Anhui Medical University, Hefei, China
| | - Wen-Jing Yu
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Anhui Medical University, and Anhui Medical University, Hefei, China
| | - Ya-Jing Li
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Anhui Medical University, and Anhui Medical University, Hefei, China
| | - You-Hui Tu
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Anhui Medical University, and Anhui Medical University, Hefei, China
| | - Ai-Hui Xu
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Anhui Medical University, and Anhui Medical University, Hefei, China
| | - Yong Wang
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Anhui Medical University, and Anhui Medical University, Hefei, China
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Liu Y, You J, Dong J, Wang J, Bao H. Ambient carbon monoxide and relative risk of daily hospital outpatient visits for respiratory diseases in Lanzhou, China. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023; 67:1913-1925. [PMID: 37726554 DOI: 10.1007/s00484-023-02550-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 08/03/2023] [Accepted: 08/29/2023] [Indexed: 09/21/2023]
Abstract
At present, evidence of the associations between carbon monoxide (CO) and respiratory diseases (RD) in Northwest China is limited and controversial. The aim of this study is to evaluate the impact of ambient CO on outpatient visits for RD in Lanzhou, China. The daily amount of outpatient visits for total and cause-specific RD, air pollutant, and weather variables were collected in Lanzhou, China from 1st January 2013 to 31st December 2019. A generalized additive model and distributed lag nonlinear model were used to assess associations between CO and outpatient visits for RD. During the study period, a total of 1,623,361 RD outpatient visits were recorded. For each interquartile range (IQR) (0.77 mg/m3) increase in CO, the relative risk (RR) was 1.163 (95% CI: 1.138, 1.188) for total RD at lag07, 1.153 (95% CI: 1.128,1.179) for upper respiratory tract infection (URTI) at lag07, 1.379 (95% CI: 1.338,1.422) for pneumonia at lag07, 1.029 (95% CI: 0.997,1.062) for chronic obstructive pulmonary disease (COPD) lag04, 1.068 (95% CI: 1.028,1.110) for asthma lag03, and 1.212 (95% CI: 1.178,1.247) for bronchitis lag07, respectively. In the subgroup analyses, the impacts of CO were more pronounced on total RD, pneumonia, COPD, and bronchitis in males than females, while the opposite was true in URTI and asthma. The impact of CO on RD was the strongest for children under 15 years-of-age. We also found significantly stronger effects during cold seasons compared to warm seasons. In addition, we observed a roughly linear exposure-response curve between CO and RD with no threshold effect. This study in Lanzhou revealed a remarkable association between CO level and an elevated risk of total and cause-specific RD outpatient visits, especially for pneumonia.
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Affiliation(s)
- Yaocong Liu
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Jianhua You
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China
| | - Jiyuan Dong
- School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China.
| | - Jiancheng Wang
- Gansu Provincial Hospital, Lanzhou, 730050, People's Republic of China
| | - Hairong Bao
- Department of Gerontal Respiratory Medicine, The First Hospital of Lanzhou University, Lanzhou, 730000, China
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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] [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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Wan R, Tang L, Guo J, Zhai W, Li L, Xie Y, Bo X, Wu J. Cost-benefits analysis of ultra-low emissions standard on air quality and health impact in thermal power plants in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 345:118731. [PMID: 37586172 DOI: 10.1016/j.jenvman.2023.118731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 07/25/2023] [Accepted: 07/28/2023] [Indexed: 08/18/2023]
Abstract
As China's largest energy infrastructure, thermal power plant consumed approximately half of China's coal over the past decade and threatened air quality, human health and socioeconomic development. Thus, a series of control policies have been implemented to alleviate those impacts in China. Particularly, China has witnessed unprecedented declines in air pollutant emissions from thermal power plants since the ultra-low emissions (ULE) standards were implemented. In contrast, the effect of the ULE policy on air quality, health and cost benefits remains poorly understood. Therefore, this study estimates the improved air quality and associated health and economic benefits under the ULE standards in the thermal power sector by using a measure-specific approach, combining a bottom-up emission inventory, an atmospheric model, a health assessment model and a cost analysis model. The results show that all the control measures lead to reduced air pollution, and renovating pre-existing units (RPU) is the most effective. Compared to without implementing the ULE policy, the population-weighted average PM2.5 and O3 concentrations decreased by 1.50 μg/m3 and 0.87 ppm, and 67,831 premature deaths could be avoided nationally. Furthermore, the results also show the net economic benefits of combining health benefits and costs due to control measures are 109.92 billion Yuan (in 2015 value) in China. The comprehensive results reveal that the health benefits outweigh the direct policy. Based on these empirical findings and the specific circumstances of China, we suggest that RPU should be further promoted to the entire of China, and if necessary, establish a long-term compensation mechanism for inter-provincial interests and institute and enforce comprehensive policies that carefully consider the health impacts of policies. This study provides strong arguments for China's policy-making and considering tightening emission standards for thermal power plants worldwide.
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Affiliation(s)
- Ruxing Wan
- School of Economics and Management, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Ling Tang
- School of Economics and Management, University of Chinese Academy of Sciences, Beijing, 100190, China.
| | - Jing Guo
- School of Economics and Management, Beihang University, Beijing, 100191, China
| | - Wenhui Zhai
- College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Ling Li
- International School of Economics and Management, Capital University of Economics and Business, Beijing, 100070, China
| | - Yang Xie
- School of Economics and Management, Beihang University, Beijing, 100191, China.
| | - Xin Bo
- Institute for Carbon-Neutrality of Chinese Industries, Beijing University of Chemical Technology, Beijing, 100029, China; Department of Environmental Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Jun Wu
- School of Economics and Management, Beijing University of Chemical Technology, Beijing, 100029, China
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Jin Y, Li Y, He S, Ge Y, Zhao Y, Zhu K, He A, Li S, Yan S, Cao C. ATM participates in fine particulate matter-induced airway inflammation through regulating DNA damage and DNA damage response. ENVIRONMENTAL TOXICOLOGY 2023; 38:2668-2678. [PMID: 37483094 DOI: 10.1002/tox.23901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 05/20/2023] [Accepted: 07/06/2023] [Indexed: 07/25/2023]
Abstract
The relationship between fine particulate matter (PM2.5) and chronic airway inflammatory diseases, such as chronic obstructive pulmonary disease and asthma, have garnered public attention, while the detailed mechanisms of PM2.5-induced airway inflammation remain unclear. This study reveals that PM2.5 induces airway inflammation both in vivo and in vitro, and, moreover, identifies DNA damage and DNA damage repair (DDR) as results of this exposure. Ataxia telangiectasia-mutated heterozygous (ATM+/- ) and wild-type C57BL/6 (WT) mice were exposed to PM2.5. The results show that, following exposure to PM2.5, the number of neutrophils in broncho alveolar lavage fluid and the mRNA expression of CXCL-1 in lung tissues of the ATM+/- mice were lower than those of the WT mice. The mRNA expression of FANCD2 and FANCI were also down-regulated. Human bronchial epithelial (HBE) cells were transfected with ATM-siRNA to induce down-regulation of ATM gene expression and were subsequently stimulated with PM2.5. The results show that the mRNA expression of TNF-α decreased in the ATM-siRNA-transfected cells. The mRNA expression of CXCL-1 and CXCL-2 in peritoneal macrophages, derived from ATM-null mice in which experiments showed that the protein expression of FANCD2 and FANCI decreased, were also decreased after PM2.5 exposure in ATM-siRNA-transfected HBE cells. In conclusion, PM2.5-induced airway inflammation is alleviated in ATM+/- mice compared with WT mice. ATM promotes PM2.5-induced airway inflammation, which may be attributed to the regulation of DNA damage and DDR.
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Affiliation(s)
- Yan Jin
- Department of Respiratory and Critical Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, China
- Department of Respiratory and Critical Care Medicine, Municipal Hospital Affiliated to Taizhou University, Taizhou, China
| | - Yiting Li
- Department of Respiratory and Critical Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Shiyi He
- Department of Respiratory and Critical Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Yijun Ge
- Department of Respiratory and Critical Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Yun Zhao
- Department of Respiratory and Critical Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Ke Zhu
- Department of Respiratory and Critical Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Andong He
- Department of Respiratory and Critical Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Siyu Li
- Department of Respiratory and Critical Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Siyu Yan
- Department of Respiratory and Critical Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Chao Cao
- Department of Respiratory and Critical Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, Ningbo, China
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Medeleanu MV, Qian YC, Moraes TJ, Subbarao P. Early-immune development in asthma: A review of the literature. Cell Immunol 2023; 393-394:104770. [PMID: 37837916 DOI: 10.1016/j.cellimm.2023.104770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/14/2023] [Accepted: 09/21/2023] [Indexed: 10/16/2023]
Abstract
This review presents a comprehensive examination of the various factors contributing to the immunopathogenesis of asthma from the prenatal to preschool period. We focus on the contributions of genetic and environmental components as well as the role of the nasal and gut microbiome on immune development. Predisposing genetic factors, including inherited genes associated with increased susceptibility to asthma, are discussed alongside environmental factors such as respiratory viruses and pollutant exposure, which can trigger or exacerbate asthma symptoms. Furthermore, the intricate interplay between the nasal and gut microbiome and the immune system is explored, emphasizing their influence on allergic immune development and response to environmental stimuli. This body of literature underscores the necessity of a comprehensive approach to comprehend and manage asthma, as it emphasizes the interactions of multiple factors in immune development and disease progression.
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Affiliation(s)
- Maria V Medeleanu
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Canada; Translational Medicine, SickKids Research Institute, Hospital for Sick Children, Canada
| | - Yu Chen Qian
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Canada; Translational Medicine, SickKids Research Institute, Hospital for Sick Children, Canada
| | - Theo J Moraes
- Translational Medicine, SickKids Research Institute, Hospital for Sick Children, Canada; Laboratory Medicine and Pathology, Temerty Faculty of Medicine, University of Toronto, Canada; Department of Paediatrics, Temerty Faculty of Medicine, University of Toronto, Canada; Division of Respiratory Medicine, Hospital for Sick Children, Canada
| | - Padmaja Subbarao
- Department of Physiology, Temerty Faculty of Medicine, University of Toronto, Canada; Translational Medicine, SickKids Research Institute, Hospital for Sick Children, Canada; Department of Paediatrics, Temerty Faculty of Medicine, University of Toronto, Canada; Division of Respiratory Medicine, Hospital for Sick Children, Canada; Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Canada.
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Chou CH, Chen YF, Peng HC, Chen CY, Cheng BW. Environmental pollutants increase the risks of acute exacerbation in patients with chronic airway disease. Front Public Health 2023; 11:1215224. [PMID: 38026400 PMCID: PMC10643209 DOI: 10.3389/fpubh.2023.1215224] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 10/11/2023] [Indexed: 12/01/2023] Open
Abstract
Objective Respiratory infections are a common cause of acute exacerbations in patients with chronic airway disease, however, environmental factors such as air pollution can also contribute to these exacerbations. The study aimed to determine the correlation between pollutant levels and exacerbation risks in areas exposed to environmental pollution sources. Methods From 2015 to 2016, a total of 788 patients with chronic airway diseases were enrolled in a study. Their medical records, including hospital visits due to acute exacerbations of varying severity were analyzed. Additionally, data on daily pollutant levels from the Air Quality Monitoring Network from 2014 to 2016 was also collected and analyzed. Results Patients with chronic airway disease and poor lung function (FEV1 < 50% or obstructive ventilatory defect) have a higher risk of severe acute exacerbations and are more likely to experience more than two severe acute exacerbations within a year. The study found that in areas exposed to environmental pollution sources, there is a significant correlation between NO2, O3, and humidity with the main causes of severe acute exacerbation. When the levels of NO2 were higher than 16.65 ppb, O3 higher than 35.65 ppb, or humidity higher than 76.95%, the risk of severe acute exacerbation in patients with chronic airway disease increased. Conclusion Acute exacerbations of chronic airway disease can be triggered by both the underlying disease state and the presence of air pollution. Computer simulations and early warning systems should be developed to predict acute exacerbations of chronic airway disease based on dynamic changes in air pollution.
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Affiliation(s)
- Chien-Hong Chou
- Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yen-Fu Chen
- Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hung-Chueh Peng
- Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
| | - Chung-Yu Chen
- Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Bor-Wen Cheng
- Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Yunlin, Taiwan
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Wang X, Wang X, Gao C, Xu X, Li L, Liu Y, Li Z, Xia Y, Fang X. Relationship Between Outdoor Air Pollutant Exposure and Premature Delivery in China- Systematic Review and Meta-Analysis. Int J Public Health 2023; 68:1606226. [PMID: 37876739 PMCID: PMC10590883 DOI: 10.3389/ijph.2023.1606226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 09/28/2023] [Indexed: 10/26/2023] Open
Abstract
Objective: Preterm birth (PTB) is considered as a public health problem and one of the main risk factors related to the global disease burden. The purpose of this study aims to explore the influence of exposure to major air pollutants at different pregnancies on PTB. Methods: The relationship between air pollutants and PTB in China was collected from cohort studies and case-control studies published before 30 April 2022. Meta-analysis was carried out with STATA 15.0 software. Results: A total of 2,115 papers were retrieved, of which 18 papers met the inclusion criteria. The comprehensive effect of pollutant exposure and PTB were calculated. PM2.5 during entire pregnancy and O3 exposure during third trimester were positively associated with preterm birth. Every 10 μg/m3 increase in the average concentration of PM2.5 during the whole pregnancy will increase the risk of premature delivery by 4%, and every 10 μg/m3 increase in the average concentration of O3 in the third trimester will increase the risk of premature delivery by 1%. Conclusion: Exposure to PM2.5 entire prenatal pregnancy and O3 in third trimester is associated with an increased risk of preterm birth occurrence.
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Affiliation(s)
- Xue Wang
- School of Public Health of Inner Mongolia Medical University, Hohhot, China
| | - Xin Wang
- Division of Molecular Signaling, Department of the Advanced Biomedical Research, Interdisciplinary Graduate School of Medicine, University of Yamanashi, Kofu, Japan
| | - Chenghua Gao
- School of Public Health of Inner Mongolia Medical University, Hohhot, China
| | - Xiaoqian Xu
- School of Public Health of Inner Mongolia Medical University, Hohhot, China
| | - Lehui Li
- School of Public Health of Inner Mongolia Medical University, Hohhot, China
| | - Yan Liu
- School of Public Health of Inner Mongolia Medical University, Hohhot, China
| | - Zichao Li
- School of Public Health of Inner Mongolia Medical University, Hohhot, China
| | - Yuan Xia
- School of Public Health of Inner Mongolia Medical University, Hohhot, China
| | - Xin Fang
- School of Public Health of Inner Mongolia Medical University, Hohhot, China
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Wang X, Deng X, Wu Y, Qian Z, Cai M, Li H, Lin H. Low-level ambient sulfur dioxide exposure and genetic susceptibility associated with incidence of idiopathic pulmonary fibrosis: A national prospective cohort study. CHEMOSPHERE 2023; 337:139362. [PMID: 37414299 DOI: 10.1016/j.chemosphere.2023.139362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 06/14/2023] [Accepted: 06/27/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND The association between long-term air pollution exposure and the development of idiopathic pulmonary fibrosis (IPF) has been established, but the evidence regarding the effect of low levels of air pollution, especially ambient sulfur dioxide (SO2), is limited. Besides, the combined effect and interaction between genetic susceptibility and ambient SO2 on IPF remain uncertain. METHODS This study retrieved data from 402,042 participants who were free of IPF at baseline in the UK Biobank. The annual mean concentration of ambient SO2 was estimated for each participant based on their residential addresses using a bilinear interpolation method. Cox proportional hazard models were used to examine the relationship between ambient SO2 and incident IPF. We further generated a polygenic risk score (PRS) for IPF and estimated the combined effects of genetic susceptibility and ambient SO2 on incident IPF. RESULTS After a median follow-up of 11.78 years, 2562 cases of IPF were identified. The results indicated that each 1 μg/m3 increase in ambient SO2 was associated with a hazard ratio (HR) (95% confidence interval [CI]) of 1.67 (1.58, 1.76) for incident IPF. The study found statistically significant synergistic additive interaction between genetic susceptibility and ambient SO2. Individuals with high genetic risk and high ambient SO2 exposure had a higher risk of developing IPF (HR = 7.48, 95% CI:5.66, 9.90). CONCLUSION The study suggests that long-term exposure to ambient SO2, even at concentrations lower than current air quality guidelines set by the Word Health Organization and European Union, may be an important risk factor for IPF. This risk is more pronounced among people with a high genetic risk. Therefore, these findings emphasize the need to consider the potential health effects of SO2 exposure and the necessity for stricter air quality standards.
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Affiliation(s)
- Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, China
| | - Xu Deng
- Department of Anesthesiology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, China
| | - Yinglin Wu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, China
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, USA
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, China
| | - Haitao Li
- Department of Social Medicine and Health Service Management, Shenzhen University General Hospital, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, China.
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Pan G, Cheng J, Pan HF, Fan YG, Ye DQ. Global Chronic obstructive pulmonary disease burden attributable to air pollution from 1990 to 2019. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023; 67:1543-1553. [PMID: 37522974 DOI: 10.1007/s00484-023-02504-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 08/26/2022] [Accepted: 10/07/2022] [Indexed: 08/01/2023]
Abstract
BACKGROUND The disease burden attributable to chronic obstructive pulmonary disease (COPD) is significant worldwide. Some studies have linked exposure to air pollution to COPD, but there has been little research on this. METHODS We aimed to assess the COPD-related disease burden attributable to air pollution from multiple epidemiological perspectives. This study conducted a three-stage analysis. Firstly, we reported on the burden of disease worldwide in 2019 by different subgroups including sex, age, region, and country. Secondly, we studied the trends in disease burden from 1990 to 2019. Finally, we explored the association of some national indicators with disease burden to look for risk factors. RESULTS In 2019, the death number of COPD associated with air pollution accounted for 2.32% of the total global death, and the number of DALY accounted for 1.12% of the global DALY. From 1990 to 2019, the death number of COPD associated with air pollution increased peaked at 1.41 million in 1993, fluctuated, and then declined. We found the same temporal pattern of DALY. The corresponding age-standardized rates had been falling. At the same time, the burden of COPD associated with air pollution was also affected by some national indicators. CONCLUSIONS This study indicated that air pollution-related COPD contributed to a significant global disease burden. We called for health policymakers to take action and interventions targeting vulnerable countries and susceptible populations.
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Affiliation(s)
- Guixia Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jian Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yin-Guang Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
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Shen W, Li X, Fang Q, Li G, Xiao W, Wu Y, Liu J, Hu W, Lu H, Huang F. The impact of ambient air pollutants on childhood respiratory system disease and the resulting disease burden: a time-series study. Int Arch Occup Environ Health 2023; 96:1087-1100. [PMID: 37338586 DOI: 10.1007/s00420-023-01991-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 06/13/2023] [Indexed: 06/21/2023]
Abstract
PURPOSE The effects of air pollution on human health have long been a hot topic of research. For respiratory diseases, a large number of studies have proved that air pollution is one of the main causes. The purpose of this study was to investigate the risk of hospitalization of children with respiratory system diseases (CRSD) caused by six pollutants (PM2.5, PM10, NO2, SO2, CO, and O3) in Hefei City, and further calculate the disease burden. METHOD In the first stage, the generalized additive models were combined with the distributed lag non-linear models to evaluate the impact of air pollution on the inpatients for CRSD in Hefei. In the second stage, this study used the cost-of-illness approach to calculate the attributable number of hospitalizations and the extra disease burden. RESULT Overall, all the six kinds of pollutants had the strongest effects on CRSD inpatients within lag10 days. SO2 and CO caused the highest and lowest harm, respectively, and the RR values were SO2 (lag0-5): 1.1 20 (1.053, 1.191), and CO (lag0-6): 1.002 (1.001, 1.003). During the study period (January 1, 2014 to December 30, 2020), the 7-year cumulative burden of disease was 36.19 million CNY under the WHO air pollution standards. CONCLUSION In general, we found that six air pollutants were risk factors for CRSD in Hefei City, and create a huge burden of disease.
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Affiliation(s)
- Wenbin Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Xue Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Qingfeng Fang
- Department of Infectious Diseases, Anhui Provincial Children's Hospital, Hefei, Anhui, China
| | - Guoao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Wei Xiao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Yueyang Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Jianjun Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Wenlei Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Huanhuan Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Fen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China.
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50
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Mananga ES, Lopez E, Diop A, Dongomale PJT, Diane F. The impact of the air pollution on health in New York City. J Public Health Res 2023; 12:22799036231205870. [PMID: 38034845 PMCID: PMC10687960 DOI: 10.1177/22799036231205870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 09/07/2023] [Indexed: 12/02/2023] Open
Abstract
New York City is attempting to find a solution to an issue that many states and cities face: how to minimize air pollution so that it has fewer negative impacts on human health. Despite having the highest population in the United States (US), New York City typically has reasonably clean air. As the City and State of New York have worked to reduce emissions from local and regional sources, the air quality in New York City has improved during the past few decades. Despite these advancements, air pollution still poses a severe hazard to the health of everyone living in New York's environment. Various diseases including respiratory, circulatory, neurological, gastrointestinal, and urinary illnesses, which can be fatal, are intimately associated with air pollution. This review article will concentrate on how air pollution affects respiratory diseases such as asthma in children. In addition to analyzing the severe effects of air pollution on the vulnerable population, this review article will highlight the health repercussions of air pollution on New York City and its residents. furthermore, we argue for potential ideas and discoveries while also putting up a policy option to lower air pollution.
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Affiliation(s)
- Eugene S Mananga
- The Graduate Center, The City University of New York, New York, NY, USA
- Department of Engineering, Physics, and Technology, Bronx Community College, The City University of New York, Bronx, NY, USA
- Extension School, Harvard University, Cambridge, MA, USA
| | - Erika Lopez
- Department of Engineering, Physics, and Technology, Bronx Community College, The City University of New York, Bronx, NY, USA
| | - Aissata Diop
- Department of Engineering, Physics, and Technology, Bronx Community College, The City University of New York, Bronx, NY, USA
| | - Paulin JT Dongomale
- Department of Geosciences and Geological and Petroleum Engineering, Missouri University of Science and Technology, Rolla, MO, USA
| | - Fambougouri Diane
- Department of Engineering, Physics, and Technology, Bronx Community College, The City University of New York, Bronx, NY, USA
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