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Liu X, Yan L, Wang J, Effah CY, Lan H, Ding L, Wu Y. Mass spectrometry analysis of PM 2.5 in poultry farms and the cytotoxicity and metabolism perturbation of BEAS-2B cells. Anal Bioanal Chem 2025:10.1007/s00216-025-05871-7. [PMID: 40266321 DOI: 10.1007/s00216-025-05871-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2024] [Revised: 03/30/2025] [Accepted: 03/31/2025] [Indexed: 04/24/2025]
Abstract
To evaluate the potential risks posed by farm-derived fine particulate matter (PM2.5), we conducted a comprehensive analysis of PM2.5 samples collected from chicken farms. Specifically, water-soluble ions, metal and metalloids, and volatile organic compounds (VOCs) were quantitatively determined via ion chromatography, inductively coupled plasma mass spectrometry (ICP-MS), and gas chromatography‒mass spectrometry (GC‒MS), respectively. Furthermore, the microbial composition was elucidated through 16S ribosomal RNA (rRNA) high-throughput sequencing and ribosomal DNA (rDNA)-internal transcribed spacer (ITS) analysis. The study revealed that the water-soluble ion profile of PM2.5 was dominated by NO3-, NH4+, and SO42-, among others. Notably, aluminum, zinc, and manganese emerged as metals with relatively high concentrations. The primary VOCs identified were formic acid, acetic acid, and propionic acid. Microbiologically, Aspergillus and Faecalibacterium were the predominant genera detected. Upon exposure to PM2.5, BEAS-2B cells exhibited marked morphological alterations and a decrease in cell viability. Additionally, a dose-dependent increase in intracellular reactive oxygen species (ROS) and malondialdehyde (MDA) levels was observed, accompanied by a decrease in superoxide dismutase (SOD) activity. This oxidative stress was further corroborated by elevated levels of inflammatory cytokines, including IL-6, IL-8, and TNF-α. Our findings suggest that livestock-generated PM2.5 significantly impacts cellular metabolism, particularly amino acid and nucleotide metabolism. Notably, PM2.5 from these environments can elicit cellular oxidative stress and inflammatory responses, which, with prolonged exposure, may lead to adverse health outcomes in both animals and humans. Therefore, the physical, chemical, and microbial characteristics of PM2.5 in poultry farms cannot be overlooked, emphasizing the critical need to improve the air quality within these facilities.
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Affiliation(s)
- Xia Liu
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Lei Yan
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Jia Wang
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
| | - Clement Yaw Effah
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Hanmin Lan
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Lihua Ding
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Yongjun Wu
- College of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
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Lei J, Sun Q, Chen R, Zhu Y, Zhou L, Xue X, Fang J, Du Y, Wang Y, Li T, Kan H. Respiratory Benefits of Multisetting Air Purification in Children: A Cluster Randomized Crossover Trial. JAMA Pediatr 2025; 179:122-128. [PMID: 39621320 PMCID: PMC11612917 DOI: 10.1001/jamapediatrics.2024.5049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Accepted: 08/26/2024] [Indexed: 12/06/2024]
Abstract
Importance Particulate matter exposure has been linked to impaired respiratory health in children, but the respiratory benefits of air purification have not been fully elucidated. Objectives To assess the respiratory health outcomes among children exposed to multisetting air purification vs sham purification. Design, Setting, and Participants This cluster randomized, double-blind, crossover trial was conducted among healthy school-aged children (10-12 years) in China from April to December 2021. Data were analyzed from December 2021 to July 2024. Interventions A multisetting (both in classrooms and bedrooms) air purification intervention compared with sham purification in a 2-stage intervention with more than 2 months (76 days) for each period and a washout period (88 days) to estimate the respiratory benefits of air purification. Main Outcomes and Measures The primary outcomes were pulmonary function, airway inflammation markers, and metabolites in exhaled breath condensate (EBC) before and after the air purification intervention. Linear mixed-effects models were used to estimate the respiratory benefits of children related to air purification. Differential metabolites in EBC were identified using metabolomics analysis to explore their possible mediation roles. Results A total of 79 children (38 male [48%]; mean [SD] age, 10.3 [0.5] years) were included in the statistical analyses. During the study period, the mean (SD) concentration of outdoor fine particulate matter (PM2.5) at the school site was 32.53 (24.06) μg/m3. The time-weighted personal PM2.5 concentration decreased by 45.14% during the true air purification period (mean [SD], 21.49 [8.72] μg/m3) compared with the sham air purification period (mean [SD], 39.17 [14.25] μg/m3). Air purification improved forced expiratory volume in 1 second by 8.04% (95% CI, 2.15%-13.93%), peak expiratory flow by 16.52% (95% CI, 2.76%-30.28%), forced vital capacity (FVC) by 5.73% (95% CI, 0.48%-10.98%), forced expiratory flow at 25% to 75% of FVC by 17.22% (95% CI, 3.78%-30.67%), maximal expiratory flow at 75% of FVC by 14.60% (95% CI, 0.35%-28.85%), maximal expiratory flow at 50% of FVC by 17.86% (95% CI, 3.65%-32.06%), and maximal expiratory flow at 25% of FVC by 18.22% (95% CI, 1.73%-34.70%). Fractional exhaled nitric oxide in the true air purification group decreased by 22.38% (95% CI, 2.27%-42.48%). Several metabolites in EBC (eg, L-tyrosine and β-alanine) were identified to mediate the effect of air purification on respiratory health. Conclusions and Relevance This randomized clinical trial provides robust and holistic evidence that indoor air purification notably improved pulmonary health in children, highlighting the importance of intensified indoor air purification in regions with high air pollution levels. Trial Registration ClinicalTrials.gov Identifier: NCT04835337.
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Affiliation(s)
- Jian Lei
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yixiang Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Lu Zhou
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xiaowei Xue
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanjun Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yanwen Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
- Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
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Meng X, Du W, Sun Z. Fine particulate matter‑induced cardiac developmental toxicity (Review). Exp Ther Med 2025; 29:6. [PMID: 39534282 PMCID: PMC11552469 DOI: 10.3892/etm.2024.12756] [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: 06/19/2024] [Accepted: 10/15/2024] [Indexed: 11/16/2024] Open
Abstract
Fine particulate matter (PM2.5) has become an important risk factor threatening human health. Epidemiological and toxicological investigations have revealed that PM2.5 not only leads to cardiovascular dysfunction, but it also gives rise to various adverse health effects on the human body, such as cardiovascular and cerebrovascular diseases, cancers, neurodevelopmental disorders, depression and autism. PM2.5 is able to penetrate both respiratory and placental barriers, thereby resulting in negative effects on fetal development. A large body of epidemiological evidences has suggested that gestational exposure to PM2.5 increases the incidence of congenital diseases in offspring, including congenital heart defects. In addition, animal model studies have revealed that gestational exposure to PM2.5 can disrupt normal heart development in offspring, although the potential molecular mechanisms have yet to be fully elucidated. The aim of the present review was to provide a brief overview of what is currently known regarding the molecular mechanisms underlying cardiac developmental toxicity in offspring induced by gestational exposure to PM2.5.
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Affiliation(s)
- Xiangjiang Meng
- Department of Cardiovascular Medicine, Changle People's Hospital, Shandong Second Medical University, Weifang, Shandong 262400, P.R. China
| | - Weiyuan Du
- Department of Cardiovascular Medicine, Changle People's Hospital, Shandong Second Medical University, Weifang, Shandong 262400, P.R. China
| | - Zongli Sun
- Department of Cardiovascular Medicine, Changle People's Hospital, Shandong Second Medical University, Weifang, Shandong 262400, P.R. China
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Jin X, Wang W, Sun Q, Chen Y, Xu B, Tian H. Effects of physical exercise on cardio-respiratory health of young adults during short-term exposure to varying air pollution levels. BMC Public Health 2024; 24:3543. [PMID: 39702096 DOI: 10.1186/s12889-024-21045-z] [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: 06/09/2024] [Accepted: 12/10/2024] [Indexed: 12/21/2024] Open
Abstract
BACKGROUND Air pollution (AP) has become a substantial environmental issue affecting human cardiorespiratory health. Physical exercise (PE) is widely accepted to promote cardiorespiratory health. There is a paucity of research on the point at which the level of polluted environment engaged in PE could be used as a preventive approach to compensate for the damages of AP. OBJECTIVES To assess the effects of acute moderate-intensity PE on the cardio-respiratory and inflammatory responses of young adults in varying levels of AP, and to determine the pollution level at which engaging in short-term PE is considered safe. METHODS We constructed a real-world crossover study of 30 healthy young adults with repeated measures. Participants participated in 90 min of moderate-intensity PE in different (low, medium, high) AP exposure scenarios. Cardiorespiratory health was measured by assessing systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), peak expiratory flow (PEF), mean forced expiratory flow between 25% and 75% of FVC (FEF25-75%), and fractional exhaled nitric oxide (FeNO) before and after the intervention. Blood samples were also collected simultaneously. The percentage changes in cardiorespiratory health markers after exercise in the three AP levels environments were compared using linear mixed-effects models. RESULTS Compared to the changes observed post-exercise in the low-level AP environment, only PEF (-9.36, P = 0.018) showed a significant decrease, and eosinophils showed a significant increase in the medium-level environment (25.64, P = 0.022), with no significant differences in other indicators. Conversely, post-exercise in the high-level AP environment resulted in a significant increase in DBP (6.5, P = 0.05), lung inflammation (FeNO: 13.3, p < 0.001), inflammatory cell counts (WBC: 27.0, p < 0.001; neutrophils: 26.8, p < 0.001; lymphocytes: 32.2, p < 0.001; monocytes: 28.2, p < 0.001; and eosinophils: 48.9, p < 0.001), and inflammatory factors (IL-1β: 0.76, P = 0.003; IL-10: 0.17, P = 0.02; IL-6: 0.1, P = 0.17; TNF-α: 0.97, P = 0.011; CRP: 0.17, P = 0.003). Additionally, there were significant declines in lung function parameters, including FVC (-6.84, P = 0.04), FEV1 (-8.97, P = 0.009), and PEF (-9.50, P = 0.013). CONCLUSIONS Acute PE in low and medium-level AP environments is generally secure concerning short-term effects on cardiorespiratory health among healthy young adults. However, acute PE in high-level AP environments can be detrimental to cardiorespiratory health, significantly increasing the body's inflammatory response. TRIAL REGISTRATION ChiCTR2000031851; Registered 12.04.2020.
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Affiliation(s)
- Xingsheng Jin
- School of Exercise and Health, Shanghai University of Sport, Yangpu District Qingyuan Huan Road 650, Shanghai, 200438, China
| | - Weiyi Wang
- Sports Department, Baotou Medical College, Baotou, 014040, China
| | - Qian Sun
- School of Exercise and Health, Shanghai University of Sport, Yangpu District Qingyuan Huan Road 650, Shanghai, 200438, China
| | - Yang Chen
- School of Exercise and Health, Shanghai University of Sport, Yangpu District Qingyuan Huan Road 650, Shanghai, 200438, China
| | - Bingxiang Xu
- School of Exercise and Health, Shanghai University of Sport, Yangpu District Qingyuan Huan Road 650, Shanghai, 200438, China.
- Key Laboratory of Hebei Province for Molecular Biophysics, Institute of Biophysics, School of Health Science & Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, China.
| | - Haili Tian
- School of Exercise and Health, Shanghai University of Sport, Yangpu District Qingyuan Huan Road 650, Shanghai, 200438, China.
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Zhang Y, He Q, Tong X, Yin P, Liu Y, Meng X, Gao Y, Shi S, Li X, Kan H, Zhou M, Li Y, Chen R. Differential associations of fine and coarse particulate air pollution with cause-specific pneumonia mortality: A nationwide, individual-level, case-crossover study. ENVIRONMENTAL RESEARCH 2024; 252:119054. [PMID: 38704007 DOI: 10.1016/j.envres.2024.119054] [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: 01/30/2024] [Revised: 03/25/2024] [Accepted: 04/29/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND The connections between fine particulate matter (PM2.5) and coarse particulate matter (PM2.5-10) and daily mortality of viral pneumonia and bacterial pneumonia were unclear. OBJECTIVES To distinguish the connections between PM2.5 and PM2.5-10 and daily mortality due to viral pneumonia and bacterial pneumonia. METHODS Using a comprehensive national death registry encompassing all areas of mainland China, we conducted a case-crossover investigation from 2013 to 2019 at an individual level. Residential daily particle concentrations were evaluated using satellite-based models with a spatial resolution of 1 km. To analyze the data, we employed the conditional logistic regression model in conjunction with polynomial distributed lag models. RESULTS We included 221,507 pneumonia deaths in China. Every interquartile range (IQR) elevation in concentrations of PM2.5 (lag 0-2 d, 37.6 μg/m3) was associated with higher magnitude of mortality for viral pneumonia (3.03%) than bacterial pneumonia (2.14%), whereas the difference was not significant (p-value for difference = 0.38). An IQR increase in concentrations of PM2.5-10 (lag 0-2 d, 28.4 μg/m3) was also linked to higher magnitude of mortality from viral pneumonia (3.06%) compared to bacterial pneumonia (2.31%), whereas the difference was not significant (p-value for difference = 0.52). After controlling for gaseous pollutants, their effects were all stable; however, with mutual adjustment, the associations of PM2.5 remained, and those of PM2.5-10 were no longer statistically significant. Greater magnitude of associations was noted in individuals aged 75 years and above, as well as during the cold season. CONCLUSION This nationwide study presents compelling evidence that both PM2.5 and PM2.5-10 exposures could increase pneumonia mortality of viral and bacterial causes, highlighting the more robust effects of PM2.5 and somewhat higher sensitivity of viral pneumonia.
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Affiliation(s)
- Ye Zhang
- Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Qinglin He
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Xunliang Tong
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Peng Yin
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Yunning Liu
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Ya Gao
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Xinyue Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Maigeng Zhou
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Yanming Li
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
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Li R, Zhao C, Zhang Y, Huang W, Wang J, Cao G, Cai Z. PM 2.5-induced DNA oxidative stress in A549 cells and regulating mechanisms by GST DNA methylation and Keap1/Nrf2 pathway. Toxicol Mech Methods 2024; 34:517-526. [PMID: 38293967 DOI: 10.1080/15376516.2024.2307967] [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: 09/29/2023] [Accepted: 01/15/2024] [Indexed: 02/01/2024]
Abstract
Fine particulate matter (PM2.5) increases the risks of lung cancer. Epigenetics provides a new toxicology mechanism for the adverse health effects of PM2.5. However, the regulating mechanisms of PM2.5 exposure on candidate gene DNA methylation changes in the development of lung cancer remain unclear. Abnormal expression of the glutathione S transferase (GST) gene is associated with cancer. However, the relationship between PM2.5 and DNA methylation-mediated GST gene expression is not well understood. In this study, we performed GST DNA methylation analysis and GST-related gene expression in human A549 cells exposed to PM2.5 (0, 50, 100 µg/mL, from Taiyuan, China) for 24 h (n = 4). We found that PM2.5 may cause DNA oxidative damage to cells and the elevation of GSTP1 promotes cell resistance to reactive oxygen species (ROS). The Kelch-1ike ECH-associated protein l (Keap1)/nuclear factor NF-E2-related factor 2 (Nrf2) pathway activates the GSTP1. The decrease in the DNA methylation level of the GSTP1 gene enhances GSTP1 expression. GST DNA methylation is associated with reduced levels of 5-methylcytosine (5mC), DNA methyltransferase 1 (DNMT1), and histone deacetylases 3 (HDAC3). The GSTM1 was not sensitive to PM2.5 stimulation. Our findings suggest that PM2.5 activates GSTP1 to defend PM2.5-induced ROS and 8-hydroxy-deoxyguanosine (8-OHdG) formation through the Keap1/Nrf2 signaling pathway and GSTP1 DNA methylation.
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Affiliation(s)
- Ruijin Li
- Institute of Environmental Science, Shanxi University, Taiyuan, PR China
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, PR China
| | - Chao Zhao
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, PR China
| | - Yuexia Zhang
- Institute of Environmental Science, Shanxi University, Taiyuan, PR China
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, PR China
| | - Wei Huang
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, PR China
| | - Jiayi Wang
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, PR China
| | - Guodong Cao
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, PR China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, PR China
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Zhang K, Chen G, He J, Chen Z, Pan M, Tong J, Liu F, Xiang H. DNA methylation mediates the effects of PM 2.5 and O 3 on ceramide metabolism: A novel mechanistic link between air pollution and insulin resistance. JOURNAL OF HAZARDOUS MATERIALS 2024; 469:133864. [PMID: 38457969 DOI: 10.1016/j.jhazmat.2024.133864] [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: 11/30/2023] [Revised: 02/20/2024] [Accepted: 02/21/2024] [Indexed: 03/10/2024]
Abstract
Insulin resistance (IR), linked to air pollution, is an initial stage of early-onset Type 2 diabetes mellitus (T2DM). While ceramide metabolism plays an important role in IR pathogenesis, the effects of air pollution on this process and its mechanisms remain unclear. We recruited young adults aged 18-30 years to a panel study in Wuhan, China. Using personal portable devices and stationary monitoring stations, we tracked particulate matter with aerodynamic diameters≤ 2.5 µm (PM2.5) and Ozone (O3) levels. Liquid chromatography/mass spectrometry (LC-MS) based metabolomics quantified ceramide metabolism, and Illumina Infinium Human Methylation 850 kBeadChip assay measured deoxyribonucleic acid (DNA) methylation. Linear mixed-effects models assessed relationships of air pollution with i) IR indexes, ii) ceramide metabolism, and iii) DNA methylation. Mediation analysis was subsequently performed to evaluate the potential mediating effect of DNA methylation in the association between air pollution and ceramide metabolism. PM2.5 and O3 were associated with elevated IR. Specifically, each 10 μg/m3 increase in PM2.5 and O3 at lag0-12 h significantly increased triglyceride‑glucose index (TyG index) and TyG-BMI (TyG - Body mass index) by 0.88%, 0.89% and 0.26%, 0.26%, respectively. Furthermore, levels of eight ceramides were altered by air pollution exposure, and nine methylated CpG sites in inflammation genes mediated the effects of air pollution on ceramide metabolism. Our findings imply the existence of a novel mechanism connecting air pollution to IR.
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Affiliation(s)
- Ke Zhang
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jie He
- Department of Environmental Health Sciences, School of Public Health, University of Michigan-Ann Arbor, Ann Arbor, MI, USA
| | - Zhongyang Chen
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Mengnan Pan
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Jiahui Tong
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China
| | - Feifei Liu
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China.
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, China; Global Health Institute, School of Public Health, Wuhan University, Wuhan, China.
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Li Z, Wang Y, Wu W, Zhao Y, Wang S, Wang P, Lin X, Gong Y, Wu Z, Li X, Sun J, Zhao N, Huang Y, Hu S, Zhang W. The relative contribution of PM 2.5 components to the obstructive ventilatory dysfunction-insights from a large ventilatory function examination of 305,022 workers in southern China. ENVIRONMENT INTERNATIONAL 2024; 187:108721. [PMID: 38718675 DOI: 10.1016/j.envint.2024.108721] [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: 12/14/2023] [Revised: 03/28/2024] [Accepted: 05/03/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND The new round of WHO/ILO Joint Estimates of the Work-related Burden of Disease assessment requires futher research to provide more evidence, especially on the health impact of ambient air pollution around the workplace. However, the evidence linking obstructive ventilatory dysfunction (OVD) to fine particulate matter (PM2.5) and its chemical components in workers is very limited. Evidence is even more scarce on the interactive effects between occupational factors and particle exposures. We aimed to fill these gaps based on a large ventilatory function examination of workers in southern China. METHODS We conducted a cross-sectional study among 363,788 workers in southern China in 2020. The annual average concentration of PM2.5 and its components were evaluated around the workplace through validated spatiotemporal models. We used mixed-effect models to evaluate the risk of OVD related to PM2.5 and its components. Results were further stratified by basic characteristics and occupational factors. FINDINGS Among the 305,022 workers, 119,936 were observed with OVD. We found for each interquartile range (IQR) increase in PM2.5 concentration, the risk of OVD increased by 27.8 (95 % confidence interval (CI): 26.5-29.2 %). The estimates were 10.9 % (95 %CI: 9.7-12.1 %), 15.8 % (95 %CI: 14.5-17.2 %), 2.6 % (95 %CI: 1.4-3.8 %), 17.1 % (95 %CI: 15.9-18.4 %), and 11 % (95 %CI: 9.9-12.2 %), respectively, for each IQR increment in sulfate, nitrate, ammonium salt, organic matter and black carbon. We observed greater effect estimates among females, younger workers, workers with a length of service of 24-45 months, and professional skill workers. Furthermore, it is particularly noteworthy that the noise-exposed workers, high-temperature-exposed workers, and less-dust-exposed workers were at a 5.7-68.2 % greater risk than others. INTERPRETATION PM2.5 and its components were significantly associated with an increased risk of OVD, with stronger links among certain vulnerable subgroups.
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Affiliation(s)
- Zhiqiang Li
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Ying Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Wenjing Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yanjie Zhao
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shenghao Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Pengyu Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Xian Lin
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yajun Gong
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China
| | - Zhijia Wu
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China
| | - Xinyue Li
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Jie Sun
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Na Zhao
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China
| | - Yongshun Huang
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China.
| | - Shijie Hu
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China.
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
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9
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Lei J, Liu C, Meng X, Sun Y, Huang S, Zhu Y, Gao Y, Shi S, Zhou L, Luo H, Kan H, Chen R. Associations between fine particulate air pollution with small-airway inflammation: A nationwide analysis in 122 Chinese cities. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 344:123330. [PMID: 38199484 DOI: 10.1016/j.envpol.2024.123330] [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: 08/19/2023] [Revised: 11/24/2023] [Accepted: 01/06/2024] [Indexed: 01/12/2024]
Abstract
Alveolar nitric oxide is a non-invasive indicator of small-airway inflammation, a key pathophysiologic mechanism underlying lower respiratory diseases. However, no epidemiological studies have investigated the impact of fine particulate matter (PM2.5) exposure on the concentration of alveolar nitric oxide (CANO). To explore the associations between PM2.5 exposure in multiple periods and CANO, we conducted a nationwide cross-sectional study in 122 Chinese cities between 2019 and 2021. Utilizing a satellite-based model with a spatial resolution of 1 × 1 km, we matched long-term, mid-term, and short-term PM2.5 exposure for 28,399 individuals based on their home addresses. Multivariable linear regression models were applied to estimate the associations between PM2.5 at multiple exposure windows and CANO. Stratified analyses were also performed to identify potentially vulnerable subgroups. We found that per interquartile range (IQR) unit higher in 1-year average, 1-month average, and 7-day average PM2.5 concentration was significantly associated with increments of 17.78% [95% confidence interval (95%CI): 12.54%, 23.26%], 8.76% (95%CI: 7.35%, 10.19%), and 4.00% (95%CI: 2.81%, 5.20%) increment in CANO, respectively. The exposure-response relationship curves consistently increased with the slope becoming statistically significant beyond 20 μg/m3. Males, children, smokers, individuals with respiratory symptoms or using inhaled corticosteroids, and those living in Southern China were more vulnerable to PM2.5 exposure. In conclusion, our study provided novel evidence that PM2.5 exposure in long-term, mid-term, and short-term periods could significantly elevate small-airway inflammation represented by CANO. Our results highlight the significance of CANO measurement as a non-invasive tool for early screening in the management of PM2.5-related inflammatory respiratory diseases.
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Affiliation(s)
- Jian Lei
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China; Department of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Yiqing Sun
- Eberly College of Science, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Suijie Huang
- Guangzhou Homesun Medical Technology Co., Ltd, Guangdong, 518040, China
| | - Yixiang Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Ya Gao
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Lu Zhou
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Huihuan Luo
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
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10
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Kim J, Chung SJ, Kim WJ. Biomarkers of the relationship of particulate matter exposure with the progression of chronic respiratory diseases. Korean J Intern Med 2024; 39:25-33. [PMID: 38225823 PMCID: PMC10790040 DOI: 10.3904/kjim.2023.393] [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: 09/19/2023] [Revised: 10/30/2023] [Accepted: 11/17/2023] [Indexed: 01/17/2024] Open
Abstract
A high level of particulate matter (PM) in air is correlated with the onset and development of chronic respiratory diseases. We conducted a systematic literature review, searching the MEDLINE, EMBASE, and Cochrane databases for studies of biomarkers of the effect of PM exposure on chronic respiratory diseases and the progression thereof. Thirty-eight articles on biomarkers of the progression of chronic respiratory diseases after exposure to PM were identified, four of which were eligible for review. Serum, sputum, urine, and exhaled breath condensate biomarkers of the effect of PM exposure on chronic obstructive pulmonary disease (COPD) and asthma had a variety of underlying mechanisms. We summarized the functions of biomarkers linked to COPD and asthma and their biological plausibility. We identified few biomarkers of PM exposure-related progression of chronic respiratory diseases. The included studies were restricted to those on biomarkers of the relationship of PM exposure with the progression of chronic respiratory diseases. The predictive power of biomarkers of the effect of PM exposure on chronic respiratory diseases varies according to the functions of the biomarkers.
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Affiliation(s)
- Junghyun Kim
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong,
Korea
| | - Soo Jie Chung
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong,
Korea
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University Hospital, Chuncheon,
Korea
- Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon,
Korea
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11
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Casella C, Kiles F, Urquhart C, Michaud DS, Kirwa K, Corlin L. Methylomic, Proteomic, and Metabolomic Correlates of Traffic-Related Air Pollution in the Context of Cardiorespiratory Health: A Systematic Review, Pathway Analysis, and Network Analysis. TOXICS 2023; 11:1014. [PMID: 38133415 PMCID: PMC10748071 DOI: 10.3390/toxics11121014] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 11/18/2023] [Accepted: 12/06/2023] [Indexed: 12/23/2023]
Abstract
A growing body of literature has attempted to characterize how traffic-related air pollution (TRAP) affects molecular and subclinical biological processes in ways that could lead to cardiorespiratory disease. To provide a streamlined synthesis of what is known about the multiple mechanisms through which TRAP could lead to cardiorespiratory pathology, we conducted a systematic review of the epidemiological literature relating TRAP exposure to methylomic, proteomic, and metabolomic biomarkers in adult populations. Using the 139 papers that met our inclusion criteria, we identified the omic biomarkers significantly associated with short- or long-term TRAP and used these biomarkers to conduct pathway and network analyses. We considered the evidence for TRAP-related associations with biological pathways involving lipid metabolism, cellular energy production, amino acid metabolism, inflammation and immunity, coagulation, endothelial function, and oxidative stress. Our analysis suggests that an integrated multi-omics approach may provide critical new insights into the ways TRAP could lead to adverse clinical outcomes. We advocate for efforts to build a more unified approach for characterizing the dynamic and complex biological processes linking TRAP exposure and subclinical and clinical disease and highlight contemporary challenges and opportunities associated with such efforts.
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Affiliation(s)
- Cameron Casella
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA; (C.C.); (F.K.); (C.U.); (D.S.M.); (K.K.)
| | - Frances Kiles
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA; (C.C.); (F.K.); (C.U.); (D.S.M.); (K.K.)
| | - Catherine Urquhart
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA; (C.C.); (F.K.); (C.U.); (D.S.M.); (K.K.)
| | - Dominique S. Michaud
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA; (C.C.); (F.K.); (C.U.); (D.S.M.); (K.K.)
| | - Kipruto Kirwa
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA; (C.C.); (F.K.); (C.U.); (D.S.M.); (K.K.)
- Department of Environmental Health, Boston University School of Public Health, Boston, MA 02118, USA
| | - Laura Corlin
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA; (C.C.); (F.K.); (C.U.); (D.S.M.); (K.K.)
- Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA 02155, USA
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12
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Casella C, Kiles F, Urquhart C, Michaud DS, Kirwa K, Corlin L. Methylomic, proteomic, and metabolomic correlates of traffic-related air pollution: A systematic review, pathway analysis, and network analysis relating traffic-related air pollution to subclinical and clinical cardiorespiratory outcomes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.30.23296386. [PMID: 37873294 PMCID: PMC10592990 DOI: 10.1101/2023.09.30.23296386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
A growing body of literature has attempted to characterize how traffic-related air pollution (TRAP) affects molecular and subclinical biological processes in ways that could lead to cardiorespiratory disease. To provide a streamlined synthesis of what is known about the multiple mechanisms through which TRAP could lead cardiorespiratory pathology, we conducted a systematic review of the epidemiological literature relating TRAP exposure to methylomic, proteomic, and metabolomic biomarkers in adult populations. Using the 139 papers that met our inclusion criteria, we identified the omic biomarkers significantly associated with short- or long-term TRAP and used these biomarkers to conduct pathway and network analyses. We considered the evidence for TRAP-related associations with biological pathways involving lipid metabolism, cellular energy production, amino acid metabolism, inflammation and immunity, coagulation, endothelial function, and oxidative stress. Our analysis suggests that an integrated multi-omics approach may provide critical new insights into the ways TRAP could lead to adverse clinical outcomes. We advocate for efforts to build a more unified approach for characterizing the dynamic and complex biological processes linking TRAP exposure and subclinical and clinical disease, and highlight contemporary challenges and opportunities associated with such efforts.
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Affiliation(s)
- Cameron Casella
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Frances Kiles
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Catherine Urquhart
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Dominique S. Michaud
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
| | - Kipruto Kirwa
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Laura Corlin
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA
- Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA 02155, USA
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13
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Wang C, Amini H, Xu Z, Peralta AA, Yazdi MD, Qiu X, Wei Y, Just A, Heiss J, Hou L, Zheng Y, Coull BA, Kosheleva A, Baccarelli AA, Schwartz JD. Long-term exposure to ambient fine particulate components and leukocyte epigenome-wide DNA Methylation in older men: the Normative Aging Study. Environ Health 2023; 22:54. [PMID: 37550674 PMCID: PMC10405403 DOI: 10.1186/s12940-023-01007-5] [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: 02/08/2023] [Accepted: 07/26/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Epigenome-wide association studies of ambient fine particulate matter (PM2.5) have been reported. However, few have examined PM2.5 components (PMCs) and sources or included repeated measures. The lack of high-resolution exposure measurements is the key limitation. We hypothesized that significant changes in DNA methylation might vary by PMCs and the sources. METHODS We predicted the annual average of 14 PMCs using novel high-resolution exposure models across the contiguous U.S., between 2000-2018. The resolution was 50 m × 50 m in the Greater Boston Area. We also identified PM2.5 sources using positive matrix factorization. We repeatedly collected blood samples and measured leukocyte DNAm with the Illumina HumanMethylation450K BeadChip in the Normative Aging Study. We then used median regression with subject-specific intercepts to estimate the associations between long-term (one-year) exposure to PMCs / PM2.5 sources and DNA methylation at individual cytosine-phosphate-guanine CpG sites. Significant probes were identified by the number of independent degrees of freedom approach, using the number of principal components explaining > 95% of the variation of the DNA methylation data. We also performed regional and pathway analyses to identify significant regions and pathways. RESULTS We included 669 men with 1,178 visits between 2000-2013. The subjects had a mean age of 75 years. The identified probes, regions, and pathways varied by PMCs and their sources. For example, iron was associated with 6 probes and 6 regions, whereas nitrate was associated with 15 probes and 3 regions. The identified pathways from biomass burning, coal burning, and heavy fuel oil combustion sources were associated with cancer, inflammation, and cardiovascular diseases, whereas there were no pathways associated with all traffic. CONCLUSIONS Our findings showed that the effects of PM2.5 on DNAm varied by its PMCs and sources.
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Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
| | - Heresh Amini
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Department of Public Health, Faculty of Health and Medical Sciences, Section of Environmental Health, University of Copenhagen, Copenhagen, Denmark
| | - Zongli Xu
- Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, Durham, NC, USA
| | - Adjani A Peralta
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Allan Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jonathan Heiss
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, 10032, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
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14
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Lei J, Chen R, Liu C, Zhu Y, Xue X, Jiang Y, Shi S, Gao Y, Kan H, Xuan J. Fine and coarse particulate air pollution and hospital admissions for a wide range of respiratory diseases: a nationwide case-crossover study. Int J Epidemiol 2023; 52:715-726. [PMID: 37159523 DOI: 10.1093/ije/dyad056] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 04/20/2023] [Indexed: 05/11/2023] Open
Abstract
BACKGROUND The associations between fine and coarse particulate matter (PM2.5 and PM2.5-10) air pollution and hospital admissions for full-spectrum respiratory diseases were rarely investigated, especially for age-specific associations. We aim to estimate the age-specific associations of short-term exposures to PM2.5 and PM2.5-10 with hospital admissions for full-spectrum respiratory diseases in China. METHODS We conducted an individual-level case-crossover study based on a nationwide hospital-based registry including 153 hospitals across 20 provincial regions in China in 2013-20. We applied conditional logistic regression models and distributed lag models to estimate the exposure- and lag-response associations. RESULTS A total of 1 399 955 hospital admission records for various respiratory diseases were identified. The associations of PM2.5 and PM2.5-10 with total respiratory hospitalizations lasted for 4 days, and an interquartile range increase in PM2.5 (34.5 μg/m3) and PM2.5-10 (26.0 μg/m3) was associated with 1.73% [95% confidence interval (95% CI): 1.34%, 2.12%)] and 1.70% (95% CI: 1.31%, 2.10%) increases, respectively, in total respiratory hospitalizations over lag 0-4 days. Acute respiratory infections (i.e. pneumonia, bronchitis and bronchiolitis) were consistently associated with PM2.5 or PM2.5-10 exposure across different age groups. We found the disease spectrum varied by age, including rarely reported findings (i.e. acute laryngitis and tracheitis, and influenza) among children and well-established associations (i.e. chronic obstructive pulmonary disease, asthma, acute bronchitis and emphysema) among older populations. Besides, the associations were stronger in females, children and older populations. CONCLUSIONS This nationwide case-crossover study provides robust evidence that short-term exposure to both PM2.5 and PM2.5-10 was associated with increased hospital admissions for a wide range of respiratory diseases, and the spectra of respiratory diseases varied by age. Females, children and older populations were more susceptible.
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Affiliation(s)
- Jian Lei
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Renjie Chen
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Cong Liu
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Yixiang Zhu
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Xiaowei Xue
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Yixuan Jiang
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Su Shi
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Ya Gao
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
- National Center for Children's Health, Children's Hospital of Fudan University, Shanghai, China
| | - Jianwei Xuan
- Health Economic Research Institute, School of Pharmacy, Sun Yat-Shen University, Guangzhou, China
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15
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Kang S, Hong YS, Park J, Kang D, Kim H, Lee J, Kim W, Kang SW, Guallar E, Cho J, Park HY. Air pollution and mortality in patients with chronic obstructive pulmonary disease: a cohort study in South Korea. Ther Adv Chronic Dis 2023; 14:20406223231176175. [PMID: 37324407 PMCID: PMC10265343 DOI: 10.1177/20406223231176175] [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: 09/07/2022] [Accepted: 04/28/2023] [Indexed: 06/17/2023] Open
Abstract
Background Evidence on whether long-term exposure to air pollution increases the mortality risk in patients with chronic obstructive pulmonary disease (COPD) is limited. Objectives We aimed to investigate the associations of long-term exposure to particulate matter with diameter <10 µm (PM10) and nitrogen dioxide (NO2) with overall and disease-specific mortality in COPD patients. Design We conducted a nationwide retrospective cohort study of 121,423 adults ⩾40 years diagnosed with COPD during 1 January to 31 December 2009. Methods Exposure to PM10 and NO2 was estimated for residential location using the ordinary kriging method. We estimated the risk of overall mortality associated with 1-, 3-, and 5-years average concentrations of PM10 and NO2 using Cox proportional hazards models and disease-specific mortality using the Fine and Gray method adjusted for age, sex, income, body mass index, smoking, comorbidities, and exacerbation history. Results The adjusted hazard ratios (HRs) for overall mortality associated with a 10 µg/m3 increase in 1-year PM10 and NO2 exposures were 1.004 [95% confidence interval (CI) = 0.985, 1.023] and 0.993 (95% CI = 0.984, 1.002), respectively. The results were similar for 3- and 5-year exposures. For a 10-µg/m3 increase in 1-year PM10 and NO2 exposures, the adjusted HRs for chronic lower airway disease mortality were 1.068 (95% CI = 1.024, 1.113) and 1.029 (95% CI = 1.009, 1.050), respectively. In stratified analyses, exposures to PM10 and NO2 were associated with overall mortality in patients who were underweight and had a history of severe exacerbation. Conclusion In this large population-based study of patients with COPD, long-term PM10 and NO2 exposures were not associated with overall mortality but were associated with chronic lower airway disease mortality. PM10 and NO2 exposures were both associated with an increased risk of overall mortality, and with overall mortality in underweight individuals and those with a history of severe exacerbation.
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Affiliation(s)
- Suna Kang
- Korea Environment Institute, Sicheong-daero, Sejong, South Korea
- Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Yun Soo Hong
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jihwan Park
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Danbee Kang
- Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Center for Clinical Epidemiology, Samsung Medical Center, Seoul, South Korea
| | - Hyunsoo Kim
- Center for Clinical Epidemiology, Samsung Medical Center, Seoul, South Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Jin Lee
- Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Center for Clinical Epidemiology, Samsung Medical Center, Seoul, South Korea
| | - Woojin Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, South Korea
| | | | - Eliseo Guallar
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Juhee Cho
- Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, 81 Irwon-ro, Gangnam-gu, Seoul 06351, South Korea
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Center for Clinical Epidemiology, Samsung Medical Center, Seoul, South Korea
- Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, South Korea
| | - Hye Yun Park
- Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, South Korea
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16
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Fu J, Fei F, Wang S, Zhao Q, Yang X, Zhong J, Hu K. Short-term effects of fine particulate matter constituents on mortality considering the mortality displacement in Zhejiang province, China. JOURNAL OF HAZARDOUS MATERIALS 2023; 457:131723. [PMID: 37257377 DOI: 10.1016/j.jhazmat.2023.131723] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/10/2023] [Accepted: 05/26/2023] [Indexed: 06/02/2023]
Abstract
BACKGROUND Evidence linking mortality and short-term exposure to particulate matter (PM2.5) constituents was sparse. The mortality displacement was often unconsidered and may induce incorrect risk estimation. OBJECTIVES To assess the short-term effects of PM2.5 constituents on all-cause mortality considering the mortality displacement. METHODS Daily data on all-cause mortality and PM2.5 constituents, including sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), organic matters (OM), and black carbon (BC), were collected from 2009 to 2020. The mortality effect of PM2.5 and its constituents was estimated using a distributed lag non-linear model. Stratified analyses were performed by age, sex, and season. RESULTS Per interquartile range increases in SO42-, NO3-, NH4+, OM, and BC were associated with the 1.42% (95%CI: 0.98, 1.87), 3.76% (3.34, 4.16), 2.26% (1.70, 2.83), 2.36% (2.02, 2.70), and 1.26% (0.91, 1.61) increases in all-cause mortality, respectively. Mortality displacements were observed for PM2.5, SO42-, NH4+, OM, and BC, with their overall effects lasting for 7-15 days. Stratified analyses revealed a higher risk for old adults (>65 years) and females, with stronger effects in the cold season. CONCLUSIONS Short-term exposures to PM2.5 constituents were positively associated with increased risks of mortality. The mortality displacement should be considered in future epidemiological studies on PM constituents. DATA AVAILABILITY Data will be made available on request.
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Affiliation(s)
- Jingqiao Fu
- Ocean College, Zhejiang University, Zhoushan 316021, China; Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, Hangzhou 310015, China; Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Fangrong Fei
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Shiyi Wang
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Qi Zhao
- Department of Epidemiology, School of Public Health, Shandong University, Jinan 250012, China
| | - Xuchao Yang
- Ocean College, Zhejiang University, Zhoushan 316021, China.
| | - Jieming Zhong
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
| | - Kejia Hu
- Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, Hangzhou 310015, China; Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China.
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17
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Duan R, Niu H, Dong F, Yu T, Li X, Wu H, Zhang Y, Yang T. Short-term exposure to fine particulate matter and genome-wide DNA methylation in chronic obstructive pulmonary disease: A panel study conducted in Beijing, China. Front Public Health 2023; 10:1069685. [PMID: 36684947 PMCID: PMC9850166 DOI: 10.3389/fpubh.2022.1069685] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 12/08/2022] [Indexed: 01/07/2023] Open
Abstract
Background Fine particulate matter (PM2.5) is a crucial risk factor for chronic obstructive pulmonary disease (COPD). However, the mechanisms whereby PM2.5 contribute to COPD risk have not been fully elucidated. Accumulating evidence suggests that epigenetics, including DNA methylation, play an important role in this process; however, the association between PM2.5 exposure and genome-wide DNA methylation in patients with COPD has not been studied. Objective To evaluate the association of personal exposure to PM2.5 and genome-wide DNA methylation changes in the peripheral blood of patients with COPD. Methods A panel study was conducted in Beijing, China. We repeatedly measured and collected personal PM2.5 data for 72 h. Genome-wide DNA-methylation of peripheral blood was analyzed using the Illumina Infinium Human Methylation BeadChip (850 k). A linear-mixed effect model was used to identify the differentially methylated probe (DMP) associated with PM2.5. Finally, we performed a functional enrichment analysis of the DMPs that were significantly associated with PM2.5. Results A total of 24 COPD patients were enrolled and 48 repeated DNA methylation measurements were associated in this study. When the false discovery rate was < 0.05, 19 DMPs were significantly associated with PM2.5 and were annotated to corresponding genes. Functional enrichment analysis of these genes showed that they were related to the response to toxic substances, regulation of tumor necrosis factor superfamily cytokine production, regulation of photosensitivity 3-kinase signaling, and other pathways. Conclusion This study provided evidence for a significant relationship between personal PM2.5 exposure and DNA methylation in patients with COPD. Our research also revealed a new biological pathway explaining the adverse effects of PM2.5 exposure on COPD risk.
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Affiliation(s)
- Ruirui Duan
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Hongtao Niu
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Fen Dong
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Tao Yu
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xuexin Li
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Hanna Wu
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Yushi Zhang
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China
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18
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Schrott R, Song A, Ladd-Acosta C. Epigenetics as a Biomarker for Early-Life Environmental Exposure. Curr Environ Health Rep 2022; 9:604-624. [PMID: 35907133 DOI: 10.1007/s40572-022-00373-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/27/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE OF REVIEW There is interest in evaluating the developmental origins of health and disease (DOHaD) which emphasizes the role of prenatal and early-life environments on non-communicable health outcomes throughout the life course. The ability to rigorously assess and identify early-life risk factors for later health outcomes, including those with childhood onset, in large population samples is often limited due to measurement challenges such as impractical costs associated with prospective studies with a long follow-up duration, short half-lives for some environmental toxicants, and lack of biomarkers that capture inter-individual differences in biologic response to external environments. RECENT FINDINGS Epigenomic patterns, and DNA methylation in particular, have emerged as a potential objective biomarker to address some of these study design and exposure measurement challenges. In this article, we summarize the literature to date on epigenetic changes associated with specific prenatal and early-life exposure domains as well as exposure mixtures in human observational studies and their biomarker potential. Additionally, we highlight evidence for other types of epigenetic patterns to serve as exposure biomarkers. Evidence strongly supports epigenomic biomarkers of exposure that are detectable across the lifespan and across a range of exposure domains. Current and future areas of research in this field seek to expand these lines of evidence to other environmental exposures, to determine their specificity, and to develop predictive algorithms and methylation scores that can be used to evaluate early-life risk factors for health outcomes across the life span.
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Affiliation(s)
- Rose Schrott
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ashley Song
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
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Du X, Jiang Y, Li H, Zhang Q, Zhu X, Zhou L, Wang W, Zhang Y, Liu C, Niu Y, Chu C, Cai J, Chen R, Kan H. Traffic-related air pollution and genome-wide DNA methylation: A randomized, crossover trial. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 850:157968. [PMID: 35963411 DOI: 10.1016/j.scitotenv.2022.157968] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 08/03/2022] [Accepted: 08/07/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Traffic-related air pollution (TRAP) has been associated with changes in gene-specific DNA methylation. However, few studies have investigated impact of TRAP exposure on genome-wide DNA methylation in circulating blood of human. OBJECTIVE To explore the association between TRAP exposure and genome-wide DNA methylation. METHODS We conducted a randomized, crossover exposure trial among 35 healthy adults in Shanghai, China. All subjects were randomly allocated to a traffic-free park or a main road for consecutive 4 h, respectively. Blood genome-wide DNA methylation after each exposure session was measured by the Infinium Methylation EPIC BeadChip (850K). The differentially methylated CpGs loci associated with TRAP exposure were identified using linear mixed-effect model. RESULTS The average concentrations of traffic-related air pollutants including black carbon, ultrafine particles, carbon dioxide, and nitrogen dioxide were 2-3 times higher in the road compared to those in the park. Methylation levels of 68 CpG loci were significantly changed (false discovery rate < 0.05) following TRAP exposure, among which 49 were hypermethylated and 19 were hypomethylated. The annotated genes based on the differential CpGs loci were related to pathways in cardiovascular signaling, cytokine signaling, immune response, nervous system signaling, and metabolism. CONCLUSIONS We found that TRAP exposure was associated with DNA methylation in dozens of genes concerning cardiometabolic health. This trial for the first-time profiled genome-wide methylation changes induced by TRAP exposure using the 850K assay, providing epigenetic insights in understanding the cardiometabolic effects of TRAP exposure.
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Affiliation(s)
- Xihao Du
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Yixuan Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Huichu Li
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Qingli Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Xinlei Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Lu Zhou
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Weidong Wang
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Yang Zhang
- Department of Systems Biology for Medicine and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Yue Niu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Chen Chu
- Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China.
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, China
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20
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Sidwell A, Smith SC, Roper C. A comparison of fine particulate matter (PM 2.5) in vivo exposure studies incorporating chemical analysis. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART B, CRITICAL REVIEWS 2022; 25:422-444. [PMID: 36351256 DOI: 10.1080/10937404.2022.2142345] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The complex, variable mixtures present in fine particulate matter (PM2.5) have been well established, and associations between chemical constituents and human health are expanding. In the past decade, there has been an increase in PM2.5 toxicology studies that include chemical analysis of samples. This investigation is a crucial component for identifying the causal constituents for observed adverse health effects following exposure to PM2.5. In this review, investigations of PM2.5 that used both in vivo models were explored and chemical analysis with a focus on respiratory, cardiovascular, central nervous system, reproductive, and developmental toxicity was examined to determine if chemical constituents were considered in the interpretation of the toxicity findings. Comparisons between model systems, PM2.5 characteristics, endpoints, and results were made. A vast majority of studies observed adverse effects in vivo following exposure to PM2.5. While limited, investigations that explored connections between chemical components and measured endpoints noted significant associations between biological measurements and a variety of PM2.5 constituents including elements, ions, and organic/elemental carbon, indicating the need for such analysis. Current limitations in available data, including relatively scarce statistical comparisons between collected toxicity and chemical datasets, are provided. Future progress in this field in combination with epidemiologic research examining chemical composition may support regulatory standards of PM2.5 to protect human health.
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Affiliation(s)
- Allie Sidwell
- Department of Biology, University of Mississippi, Mississippi, MS, USA
| | - Samuel Cole Smith
- Department of Bio-Molecular Sciences, University of Mississippi, Mississippi, MS, USA
| | - Courtney Roper
- Department of Bio-Molecular Sciences, University of Mississippi, Mississippi, MS, USA
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21
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Zhang Q, Meng X, Shi S, Kan L, Chen R, Kan H. Overview of particulate air pollution and human health in China: Evidence, challenges, and opportunities. Innovation (N Y) 2022; 3:100312. [PMID: 36160941 PMCID: PMC9490194 DOI: 10.1016/j.xinn.2022.100312] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/31/2022] [Indexed: 11/25/2022] Open
Abstract
Ambient particulate matter (PM) pollution in China continues to be a major public health challenge. With the release of the new WHO air quality guidelines in 2021, there is an urgent need for China to contemplate a revision of air quality standards (AQS). In the recent decade, there has been an increase in epidemiological studies on PM in China. A comprehensive evaluation of such epidemiological evidence among the Chinese population is central for revision of the AQS in China and in other developing countries with similar air pollution problems. We thus conducted a systematic review on the epidemiological literature of PM published in the recent decade. In summary, we identified the following: (1) short-term and long-term PM exposure increase mortality and morbidity risk without a discernible threshold, suggesting the necessity for continuous improvement in air quality; (2) the magnitude of long-term associations with mortality observed in China are comparable with those in developed countries, whereas the magnitude of short-term associations are appreciably smaller; (3) governmental clean air policies and personalized mitigation measures are potentially effective in protecting public and individual health, but need to be validated using mortality or morbidity outcomes; (4) particles of smaller size range and those originating from fossil fuel combustion appear to show larger relative health risks; and (5) molecular epidemiological studies provide evidence for the biological plausibility and mechanisms underlying the hazardous effects of PM. This updated review may serve as an epidemiological basis for China’s AQS revision and proposes several perspectives in designing future health studies. Acute effects of PM are smaller in China compared with developed countries Health effects caused by PM depend on particle composition, source, and size There are no thresholds for the health effects of PM Mechanistic studies support the biological plausibility of PM’s health effects
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Affiliation(s)
- Qingli Zhang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Lena Kan
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, MD 21205, USA
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China.,Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 201102, China
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22
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Chen P, Yuan Z, Miao L, Yang L, Wang H, Xu D, Lin Z. Acute cardiorespiratory response to air quality index in healthy young adults. ENVIRONMENTAL RESEARCH 2022; 214:113983. [PMID: 35948148 DOI: 10.1016/j.envres.2022.113983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 06/27/2022] [Accepted: 07/22/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Little is known about the acute health impacts of air quality index (AQI) on cardiorespiratory risk factors. OBJECTIVES To assess the short-term links of AQI with cardiorespiratory risk factors in young healthy adults. METHODS We performed a longitudinal panel study with 4 repeated visits in 40 healthy young adults in Hefei, Anhui Province, China from August to October 2021. Cardiorespiratory factors included systolic blood pressure (BP), diastolic BP (DBP), mean arterial pressure (MAP) and fractional exhaled nitric oxide (FeNO). We collected hourly AQI data from a nearby air quality monitoring site. Linear mixed-effects model was applied to assess the effects of AQI on BP and FeNO. RESULTS The study participants (75.0% females) provided 160 pairs of valid health measurements with average age of 24 years. The mean AQI level was 44.43 during the study period. There were significant positive associations of AQI with three BP parameters and FeNO at different lag periods. For example, an interquartile range increase in AQI (26.54 unit) over lag 0-24 h was associated with increments of 6.69 mmHg (95%CI: 2.95-10.44), 5.71 mmHg (95%CI: 3.30-8.13), 6.04 mmHg (95%CI: 3.46-8.62) and 5.67% (95%CI: 1.05%-16.05%) in SBP, DBP, MAP and FeNO, respectively. The results were robust after controlling for PM1. We did not find effect modifications by gender, BMI, physical activity, or AQI category level on the associations. CONCLUSIONS The current findings on associations of AQI with cardiorespiratory factors might add evidence of the acute adverse cardiorespiratory consequences following air pollution.
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Affiliation(s)
- Ping Chen
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Zhi Yuan
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Lin Miao
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Liyan Yang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Hua Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230032, China
| | - Dexiang Xu
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230032, China.
| | - Zhijing Lin
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230032, China.
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23
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Wang T, Song X, Xu H, Zhu Y, Li L, Sun X, Chen J, Liu B, Zhao Q, Zhang Y, Yuan N, Liu L, Fang J, Xie Y, Liu S, Wu R, He B, Cao J, Huang W. Combustion-Derived Particulate PAHs Associated with Small Airway Dysfunction in Elderly Patients with COPD. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:10868-10878. [PMID: 35834827 DOI: 10.1021/acs.est.2c00797] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Evidence of the respiratory effects of ambient organic aerosols (e.g., polycyclic aromatic hydrocarbons, PAHs) among patients with chronic diseases is limited. We aimed to assess whether exposure to ambient particle-bound PAHs could worsen small airway functions in patients with chronic obstructive pulmonary disease (COPD) and elucidate the underlying mechanisms involved. Forty-five COPD patients were recruited with four repeated visits in 2014-2015 in Beijing, China. Parameters of pulmonary function and pulmonary/systemic inflammation and oxidative stress were measured at each visit. Linear mixed-effect models were performed to evaluate the associations between PAHs and measurements. In this study, participants experienced an average PAH level of 61.7 ng/m3. Interquartile range increases in exposure to particulate PAHs at prior up to 7 days were associated with reduced small airway functions, namely, decreases of 17.7-35.5% in forced maximal mid-expiratory flow. Higher levels of particulate PAHs were also associated with heightened lung injury and inflammation and oxidative stress. Stronger overall effects were found for PAHs from traffic emissions and coal burning. Exposure to ambient particulate PAHs was capable of impairing small airway functions in elderly patients with COPD, potentially via inflammation and oxidative stress. These findings highlight the importance of control efforts on organic particulate matter from fossil fuel combustion emissions.
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Affiliation(s)
- Tong Wang
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Xiaoming Song
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Hongbing Xu
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Yutong Zhu
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Lijuan Li
- Institute of Atmospheric Physics, Chinese Academy of Sciences, No. 40 Huayanli, Beichen West Road, Chaoyang District, Beijing 100029, China
| | - Xiaoyan Sun
- Division of Respiration, Peking University Third Hospital, Beijing 100191, China
| | - Jie Chen
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Institute for Risk Assessment Sciences, University Medical Centre Utrecht, University of Utrecht, P.O. Box 80125, Utrecht 3508 TC, The Netherlands
| | - Beibei Liu
- Division of Respiration, Peking University Third Hospital, Beijing 100191, China
| | - Qian Zhao
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Yi Zhang
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Ningman Yuan
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Lingyan Liu
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Jiakun Fang
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Yunfei Xie
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
| | - Shuo Liu
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Copenhagen K 1353, Denmark
| | - Rongshan Wu
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Bei He
- Division of Respiration, Peking University Third Hospital, Beijing 100191, China
| | - Junji Cao
- Institute of Atmospheric Physics, Chinese Academy of Sciences, No. 40 Huayanli, Beichen West Road, Chaoyang District, Beijing 100029, China
| | - Wei Huang
- Department of Occupational and Environmental Health, Peking University School of Public Health, No. 38 Xueyuan Road, Haidian District, Beijing 100191, China
- Peking University Institute of Environmental Medicine, Beijing 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing 100191, China
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Song J, Zeng Y, Zhu M, Zhu G, Chen C, Jin M, Wang J, Song Y. Comprehensive analysis of transcriptome-wide m 6A methylome in the lung tissues of mice with acute particulate matter exposure. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 241:113810. [PMID: 35777340 DOI: 10.1016/j.ecoenv.2022.113810] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 06/06/2022] [Accepted: 06/22/2022] [Indexed: 06/15/2023]
Abstract
Particulate matter (PM) exposure is identified as a critical risk factor for chronic airway diseases, but the biological mechanism of PM-induced lung damage was not fully elucidated. The m6A methylation, as the main member of epigenetic modifications, has been found to play an important role in different pulmonary diseases, but its regulatory effect on PM-induced lung damage remains unknown. This study firstly used the methylated RNA immunoprecipitation sequencing (MeRIP-seq) to reveal the m6A methylome profiles in the lung tissues of mice with acute PM exposure. Compared with the normal control, a total of 2210 differentially hypermethylated m6A peaks within 1879 genes and 1278 differentially hypomethylated m6A peaks within 1153 genes were identified in the PM-exposed group. Conjoint analysis of MeRIP-seq and high-throughput sequencing for RNA (RNA-seq) data predicated several potential pathways including MAPK signaling pathway, cell senescence, and cell cycle. Four m6A-modified differentially expressed genes (IL-1a, IL-1b, ADAM-8, and HMOX-1) were selected for validation using MeRIP-qPCR. Furthermore, the m6A-modified IL-1a promoted PM-induced inflammation via regulating MAPK signaling pathway. These results provide a new insight into the biological mechanism of PM-induced lung damage, and help us to develop new methods to prevent and treat PM-induced adverse health effects.
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Affiliation(s)
- Juan Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| | - Yingying Zeng
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| | - Mengchan Zhu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| | - Guiping Zhu
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| | - Cuicui Chen
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| | - Meiling Jin
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
| | - Jian Wang
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China.
| | - Yuanlin Song
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai 200030, China
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25
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Poursafa P, Kamali Z, Fraszczyk E, Boezen HM, Vaez A, Snieder H. DNA methylation: a potential mediator between air pollution and metabolic syndrome. Clin Epigenetics 2022; 14:82. [PMID: 35773726 PMCID: PMC9245491 DOI: 10.1186/s13148-022-01301-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 06/01/2022] [Indexed: 01/19/2023] Open
Abstract
Given the global increase in air pollution and its crucial role in human health, as well as the steep rise in prevalence of metabolic syndrome (MetS), a better understanding of the underlying mechanisms by which environmental pollution may influence MetS is imperative. Exposure to air pollution is known to impact DNA methylation, which in turn may affect human health. This paper comprehensively reviews the evidence for the hypothesis that the effect of air pollution on the MetS is mediated by DNA methylation in blood. First, we present a summary of the impact of air pollution on metabolic dysregulation, including the components of MetS, i.e., disorders in blood glucose, lipid profile, blood pressure, and obesity. Then, we provide evidence on the relation between air pollution and endothelial dysfunction as one possible mechanism underlying the relation between air pollution and MetS. Subsequently, we review the evidence that air pollution (PM, ozone, NO2 and PAHs) influences DNA methylation. Finally, we summarize association studies between DNA methylation and MetS. Integration of current evidence supports our hypothesis that methylation may partly mediate the effect of air pollution on MetS.
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Affiliation(s)
- Parinaz Poursafa
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Zoha Kamali
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Eliza Fraszczyk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - H Marike Boezen
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ahmad Vaez
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
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26
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Shen Y, Wang C, Yu G, Meng X, Wang W, Kan H, Zhang J, Cai J. Associations of Ambient Fine Particulate Matter and Its Chemical Constituents with Birth Weight for Gestational Age in China: A Nationwide Survey. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:8406-8415. [PMID: 35609000 DOI: 10.1021/acs.est.1c08393] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
This study examined the associations of fine particulate matter (PM2.5) and its chemical constituents with risks of small for gestational age (SGA) and large for gestational age (LGA). Based on the China Labor and Delivery Survey, we included 70,206 birth records from 24 provinces in China. Concentrations of PM2.5 mass and six main constituents were estimated using satellite-based models. Logistic regression analysis was used to examine the associations, adjusted for sociodemographic characteristics and time trends. We found that an interquartile range increase in PM2.5 exposure during pregnancy was associated with 16% (95% confidence interval [CI]: 3-30%) and 11% (95% CI: 1-22%) higher risk of SGA and LGA, respectively. Elevated risk of SGA was associated with exposure to black carbon [odds ratio (OR) = 1.15, 95% CI: 1.00-1.32], ammonium (OR = 1.12, 95% CI: 1.01-1.25), and sulfate (OR = 1.12, 95% CI: 1.04-1.21); while increased risk of LGA was associated with exposure to black carbon (OR = 1.13, 95% CI: 1.02-1.26), ammonium (OR = 1.13, 95% CI: 1.03-1.24), sulfate (OR = 1.08, 95% CI: 1.01-1.15), and nitrate (OR = 1.14, 95% CI: 1.03-1.27). Our findings provide evidence that PM2.5 exposure was associated with increased risks of SGA and LGA, and constituents related to emissions from anthropogenic sources may play important roles in these associations.
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Affiliation(s)
- Yang Shen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Cuiping Wang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - Guoqi Yu
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Weidong Wang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
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27
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Han B, Xu J, Zhang Y, Li P, Li K, Zhang N, Han J, Gao S, Wang X, Geng C, Yang W, Zhang L, Bai Z. Associations of Exposure to Fine Particulate Matter Mass and Constituents with Systemic Inflammation: A Cross-Sectional Study of Urban Older Adults in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:7244-7255. [PMID: 35148063 DOI: 10.1021/acs.est.1c04488] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Systemic inflammation is a key mechanism in the development of cardiovascular diseases induced by exposure to fine particles (particles with aerodynamic diameter ≤2.5 μm [PM2.5]). However, little is known about the effects of chemical constituents of PM2.5 on systemic inflammation. In this cross-sectional study, filter samples of personal exposure to PM2.5 were collected from community-dwelling older adults in Tianjin, China, and the chemical constituents of PM2.5 were analyzed. Blood samples were collected immediately after the PM2.5 sample collection. Seventeen cytokines were measured as targets. A linear regression model was applied to estimate the relative effects of PM2.5 and its chemical constituents on the measured cytokines. A positive matrix factorization model was employed to distinguish the sources of PM2.5. The calculated source contributions were used to estimate their effects on cytokines. After adjusting for other covariates, higher PM2.5-bound copper was significantly associated with increased levels of interleukin (IL)1β, IL6, IL10, and IL17 levels. Source analysis showed that an increase in PM2.5 concentration that originated from tire/brake wear and cooking emissions was significantly associated with enhanced levels of IL1β, IL6, tumor necrosis factor alpha (TNFα), and IL17. In summary, personal exposure to some PM2.5 constituents and specific sources could increase systemic inflammation in older adults. These findings may explain the cardiopulmonary effects of specific particulate chemical constituents of urban air pollution.
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Affiliation(s)
- Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jia Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yujuan Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Penghui Li
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
| | - Kangwei Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, IRCELYON, Villeurbanne 69626, France
| | - Nan Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jinbao Han
- School of Quality and Technical Supervision, Hebei University, Baoding 071002, China
| | - Shuang Gao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Xinhua Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Chunmei Geng
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Wen Yang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Liwen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Zhipeng Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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28
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Wang H, Wang T, Rui W, Xie J, Xie Y, Zhang X, Guan L, Li G, Lei Z, Schiffelers RM, Sluijter JPG, Xiao J. Extracellular vesicles enclosed-miR-421 suppresses air pollution (PM 2.5 )-induced cardiac dysfunction via ACE2 signalling. J Extracell Vesicles 2022; 11:e12222. [PMID: 35536587 PMCID: PMC9089227 DOI: 10.1002/jev2.12222] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 04/03/2022] [Accepted: 04/15/2022] [Indexed: 01/05/2023] Open
Abstract
Air pollution, via ambient PM2.5, is a big threat to public health since it associates with increased hospitalisation, incidence rate and mortality of cardiopulmonary injury. However, the potential mediators of pulmonary injury in PM2.5‐induced cardiovascular disorder are not fully understood. To investigate a potential cross talk between lung and heart upon PM2.5 exposure, intratracheal instillation in vivo, organ culture ex vivo and human bronchial epithelial cells (Beas‐2B) culture in vitro experiments were performed respectively. The exposed supernatants of Beas‐2B were collected to treat primary neonatal rat cardiomyocytes (NRCMs). Upon intratracheal instillation, subacute PM2.5 exposure caused cardiac dysfunction, which was time‐dependent secondary to lung injury in mice, thereby demonstrating a cross‐talk between lungs and heart potentially mediated via small extracellular vesicles (sEV). We isolated sEV from PM2.5‐exposed mice serum and Beas‐2B supernatants to analyse the change of sEV subpopulations in response to PM2.5. Single particle interferometric reflectance imaging sensing analysis (SP‐IRIS) demonstrated that PM2.5 increased CD63/CD81/CD9 positive particles. Our results indicated that respiratory system‐derived sEV containing miR‐421 contributed to cardiac dysfunction post‐PM2.5 exposure. Inhibition of miR‐421 by AAV9‐miR421‐sponge could significantly reverse PM2.5‐induced cardiac dysfunction in mice. We identified that cardiac angiotensin converting enzyme 2 (ACE2) was a downstream target of sEV‐miR421, and induced myocardial cell apoptosis and cardiac dysfunction. In addition, we observed that GW4869 (an inhibitor of sEV release) or diminazene aceturate (DIZE, an activator of ACE2) treatment could attenuate PM2.5‐induced cardiac dysfunction in vivo. Taken together, our results suggest that PM2.5 exposure promotes sEV‐linked miR421 release after lung injury and hereby contributes to PM2.5‐induced cardiac dysfunction via suppressing ACE2.
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Affiliation(s)
- Hongyun Wang
- Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, China.,Cardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Shanghai, China
| | - Tianhui Wang
- Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, China.,Cardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Shanghai, China
| | - Wei Rui
- Institute for Immunology, Tsinghua University, Beijing, China
| | - Jinxin Xie
- Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, China.,Cardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Shanghai, China
| | - Yuling Xie
- Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, China.,Cardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Shanghai, China
| | - Xiao Zhang
- Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, China.,Cardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Shanghai, China
| | - Longfei Guan
- China-America Institute Neuroscience, Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Guoping Li
- Cardiovascular Division of the Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Zhiyong Lei
- CDL Research, University Medical Center Utrecht, Utrecht, The Netherlands.,Department of Cardiology, Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.,UMC Utrecht Regenerative Medicine Center, University Medical Center, Utrecht University, Utrecht, The Netherlands
| | | | - Joost P G Sluijter
- Department of Cardiology, Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.,UMC Utrecht Regenerative Medicine Center, University Medical Center, Utrecht University, Utrecht, The Netherlands
| | - Junjie Xiao
- Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, China.,Cardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Shanghai, China
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29
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Wang T, Xu H, Zhu Y, Sun X, Chen J, Liu B, Zhao Q, Zhang Y, Liu L, Fang J, Xie Y, Liu S, Wu R, Song X, He B, Huang W. Traffic-related air pollution associated pulmonary pathophysiologic changes and cardiac injury in elderly patients with COPD. JOURNAL OF HAZARDOUS MATERIALS 2022; 424:127463. [PMID: 34687998 DOI: 10.1016/j.jhazmat.2021.127463] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 09/30/2021] [Accepted: 10/06/2021] [Indexed: 06/13/2023]
Abstract
Traffic-related air pollution (TRAP) has shown enormous environmental toxicity, but its cardiorespiratory health impact on chronic obstructive pulmonary disease (COPD) has been less studied. We followed a panel of 45 COPD patients with 4 repeated clinical visits across 14 months in a traffic-predominated urban area of Beijing, China, with concurrent measurements of TRAP metrics (fine particulate matter, black carbon, oxides of nitrogen and carbon monoxide). Linear mixed-effect models were performed to evaluate the associations and potential pathways linking traffic pollution to indicators of spirometry, cardiac injury, inflammation and oxidative stress. We observed that interquartile range increases in moving averages of TRAP exposures at prior up to 7 days were associated with significant reductions in large and small airway functions, namely decreases in forced vital capacity of 3.1-9.3% and forced expiratory flow 25-75% of 5.9-16.4%. Higher TRAP levels were also associated with worsening of biomarkers relevant to lung injury (hepatocyte growth factor and surfactant protein D) and cardiac injury (high-sensitivity cardiac troponin I, B-type natriuretic peptide and soluble ST2), as well as enhanced airway/systemic inflammation and oxidative stress. Mediation analyses showed that TRAP exposures may prompt cardiac injury, possibly via worsening pulmonary pathophysiology. These findings highlight the importance of traffic pollution control priority in urban areas.
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Affiliation(s)
- Tong Wang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China
| | - Hongbing Xu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China
| | - Yutong Zhu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China
| | - Xiaoyan Sun
- Division of Respiration, Peking University Third Hospital, Beijing, China
| | - Jie Chen
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Institute for Risk Assessment Sciences, University Medical Centre Utrecht, University of Utrecht, the Netherlands
| | - Beibei Liu
- Division of Respiration, Peking University Third Hospital, Beijing, China
| | - Qian Zhao
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China
| | - Yi Zhang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China
| | - Lingyan Liu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China
| | - Jiakun Fang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China
| | - Yunfei Xie
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China
| | - Shuo Liu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Rongshan Wu
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Xiaoming Song
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China
| | - Bei He
- Division of Respiration, Peking University Third Hospital, Beijing, China.
| | - Wei Huang
- Department of Occupational and Environmental Health, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Peking University, Beijing, China.
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30
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Guo C, Lv S, Liu Y, Li Y. Biomarkers for the adverse effects on respiratory system health associated with atmospheric particulate matter exposure. JOURNAL OF HAZARDOUS MATERIALS 2022; 421:126760. [PMID: 34396970 DOI: 10.1016/j.jhazmat.2021.126760] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/17/2021] [Accepted: 07/25/2021] [Indexed: 06/13/2023]
Abstract
Large amounts of epidemiological evidence have confirmed the atmospheric particulate matter (PM2.5) exposure was positively correlated with the morbidity and mortality of respiratory diseases. Nevertheless, its pathogenesis remains incompletely understood, probably resulting from the activation of oxidative stress, inflammation, altered genetic and epigenetic modifications in the lung upon PM2.5 exposure. Currently, biomarker investigations have been widely used in epidemiological and toxicological studies, which may help in understanding the biologic mechanisms underlying PM2.5-elicited adverse health outcomes. Here, the emerging biomarkers to indicate PM2.5-respiratory system interactions were summarized, primarily related to oxidative stress (ROS, MDA, GSH, etc.), inflammation (Interleukins, FENO, CC16, etc.), DNA damage (8-OHdG, γH2AX, OGG1) and also epigenetic modulation (DNA methylation, histone modification, microRNAs). The identified biomarkers shed light on PM2.5-elicited inflammation, fibrogenesis and carcinogenesis, thus may favor more precise interventions in public health. It is worth noting that some inconsistent findings may possibly relate to the inter-study differentials in the airborne PM2.5 sample, exposure mode and targeted subjects, as well as methodological issues. Further research, particularly by -omics technique to identify novel, specific biomarkers, is warranted to illuminate the causal relationship between PM2.5 pollution and deleterious lung outcomes.
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Affiliation(s)
- Caixia Guo
- 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
| | - Songqing Lv
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yufan Liu
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yanbo Li
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China.
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31
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Wang C, Cardenas A, Hutchinson JN, Just A, Heiss J, Hou L, Zheng Y, Coull BA, Kosheleva A, Koutrakis P, Baccarelli AA, Schwartz JD. Short- and intermediate-term exposure to ambient fine particulate elements and leukocyte epigenome-wide DNA methylation in older men: the Normative Aging Study. ENVIRONMENT INTERNATIONAL 2022; 158:106955. [PMID: 34717175 PMCID: PMC8710082 DOI: 10.1016/j.envint.2021.106955] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 10/18/2021] [Accepted: 10/22/2021] [Indexed: 05/08/2023]
Abstract
BACKGROUND Several epigenome-wide association studies (EWAS) of ambient particulate matter with aerodynamic diameter ≤ 2.5 µm (PM2.5) have been reported. However, EWAS of PM2.5 elements (PEs), reflecting different emission sources, are very limited. OBJECTIVES We performed EWAS of short- and intermediate-term exposure to PM2.5 and 13 PEs. We hypothesized that significant changes in DNAm may vary by PM2.5 mass and its elements. METHODS We repeatedly collected blood samples in the Normative Aging Study and measured leukocyte DNA methylation (DNAm) with the Illumina HumanMethylation450K BeadChip. We collected daily PM2.5 and 13 PEs at a fixed central site. To estimate the associations between each PE and DNAm at individual cytosine-phosphate-guanine (CpG) sites, we incorporated a distributed-lag (0-27 d) term in the setting of median regression with subject-specific intercept and examined cumulative lag associations. We also accounted for selection bias due to loss to follow-up and mortality prior to enrollment. Significantly differentially methylated probes (DMPs) were identified using Bonferroni correction for multiple testing. We further conducted regional and pathway analyses to identify significantly differentially methylated regions (DMRs) and pathways. RESULTS We included 695 men with 1,266 visits between 1999 and 2013. The subjects had a mean age of 75 years. The significant DMPs, DMRs, and pathways varied by to PM2.5 total mass and PEs. For example, PM2.5 total mass was associated with 2,717 DMPs and 10,470 DMRs whereas Pb was associated with 3,173 DMPs and 637 DMRs. The identified pathways by PM2.5 mass were mostly involved in mood disorders, neuroplasticity, immunity, and inflammation, whereas the pathways associated with motor vehicles (BC, Cu, Pb, and Zn) were related with cardiovascular disease and cancer (e.g., "PPARs signaling"). CONCLUSIONS PM2.5 and PE were associated with methylation changes at multiple probes and along multiple pathways, in ways that varied by particle components.
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Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health and Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - John N Hutchinson
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Allan Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jonathan Heiss
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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Wang X, Guo Y, Cai M, Qian ZM, Zhang S, Zhang Z, Yang Y, Vaughn MG, Aaron HE, Wu F, Zhang Y, Lin H. Constituents of fine particulate matter and asthma in six low- and middle-income countries. J Allergy Clin Immunol 2021; 150:214-222.e5. [PMID: 34971647 DOI: 10.1016/j.jaci.2021.12.779] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 10/19/2021] [Accepted: 12/09/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Evidence concerning the effects of different chemical components of PM2.5 on asthma is limited, and the methodology to compare the relative importance of different PM2.5 components is lacking. OBJECTIVES To examine the associations between PM2.5 components and asthma, and investigate which constituent of PM2.5 possessed the most harmful effect on asthma. METHODS A total of 45,690 subjects were surveyed in six countries from 2007 to 2010. We geo-coded the residential community address of the participants, and used satellite remote sensing and chemical transport modeling to estimate their annual average concentrations. Mixed-effects generalized additive models were utilized to examine the associations between PM2.5 constituents and prevalence of asthma. We further used counterfactual analyses to determine the potential number of asthma cases. RESULTS We identified 6,178 asthma cases among the participants, producing a prevalence of 13.5%. The odds ratio (OR) for asthma associated with per standard deviation (SD) increment was 1.12 for PM2.5 mass, 1.12 for organic carbon (OC), 1.18 for black carbon (BC), 1.19 for sulfate, 1.28 for ammonium, and 1.21 for nitrate after controlling for potential confounders. Our counterfactual analyses suggested that ammonium was responsible for a substantial decline in asthma cases (1382, corresponding to 22.37% of overall cases) if the concentration was reduced to the 5th percentile of the current level. CONCLUSIONS Our study suggests that some chemical components (including BC, OC, sulfate, ammonium, and nitrate) of PM2.5 might be hazardous constituents contributing to the prevalence of asthma, among them, ammonium might be responsible for substantial proportion of asthma cases if reduced to a certain level.
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Affiliation(s)
- Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yanfei Guo
- Shanghai Municipal Centre for Disease Control and Prevention (Shanghai CDC), Shanghai, China
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, USA
| | - Shiyu Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yin Yang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Michael G Vaughn
- School of Social Work, College for Public Health & Social Justice, Saint Louis University, USA
| | - Hannah E Aaron
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, USA
| | - Fan Wu
- School of Public Health, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Yuqiang Zhang
- Nicholas School of the Environment, Duke University, Durham, NC, USA.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Li B, Yang J, Dong H, Li M, Cai D, Yang Z, Zhang C, Wang H, Hu J, Bergmann S, Lin G, Wang B. PM 2.5 constituents and mortality from a spectrum of causes in Guangzhou, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 222:112498. [PMID: 34265527 DOI: 10.1016/j.ecoenv.2021.112498] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 07/04/2021] [Accepted: 07/05/2021] [Indexed: 06/13/2023]
Abstract
As the major constituents of PM2.5, carbonaceous constituents and inorganic ions have attracted emerging attentions on their health risks, particularly on cardiorespiratory diseases. However, evidences on the risks of PM2.5 constituents on other diseases (eg. nervous disease, genitourinary disease, neoplasms and endocrine disease) remain scarce. In our study, we firstly calculated residuals of PM2.5 constituents regressed on PM2.5 to remove the confounding effect of PM2.5. Then, generalized additive model (GAM) was used to assess impacts of residuals of PM2.5 constituents on mortality from 36 diseases (10 broad categories and 26 subcategories) during 2011-2015 in Guangzhou, China. Results of constituent-residual models showed that only EC, OC and NO3- were significantly associated with all-cause mortality, with per IQR change in corresponding constituent residuals related to percentage changes of 1.69% (95% CI: 0.42, 2.97), 1.94% (95% CI: 0.37, 3.54) and 2.59% (95% CI: 1.02, 4.18) at lag 03 days. All these pollutants were significantly associated with elevated mortality risk of cardiovascular disease, but only EC was significantly associated with respiratory mortality, and NO3- with endocrine disease and neoplasm. For more specific causes, the highest effect estimates of EC and NO3-were both observed on mortality from other form of heart disease, and OC on intentional self-harm, with estimates of 11.45% (95% CI: 2.74, 20.91), 12.59% (95% CI: 1.41, 25.02) and 18.01% (95% CI: 2.14, 36.36), respectively. Our findings highlighted that stricter emission control measures are still warranted to reduce air pollution level and protect the public health.
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Affiliation(s)
- Bixia Li
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
| | - Jun Yang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China.
| | - Hang Dong
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong, China
| | - Mengmeng Li
- Department of Cancer Prevention, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Dongjie Cai
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
| | - Zhou Yang
- State Key Laboratory of Organ Failure Research, Department of Biostatistics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Chunlin Zhang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China
| | - Hao Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China
| | - Jianlin Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Engineering Technology Research Center of Environmental Cleaning Materials, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China
| | - Stéphanie Bergmann
- Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Guozhen Lin
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, Guangdong, China.
| | - Boguang Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; JNU-QUT Joint Laboratory for Air Quality Science and Management, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China.
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Sun B, Song J, Wang Y, Jiang J, An Z, Li J, Zhang Y, Wang G, Li H, Alexis NE, Jaspers I, Wu W. Associations of short-term PM 2.5 exposures with nasal oxidative stress, inflammation and lung function impairment and modification by GSTT1-null genotype: A panel study of the retired adults. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 285:117215. [PMID: 33932759 DOI: 10.1016/j.envpol.2021.117215] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 04/16/2021] [Accepted: 04/20/2021] [Indexed: 06/12/2023]
Abstract
PM2.5 (particulate matter ≤2.5 μm in aerodynamic diameter) is a major urban air pollutant worldwide. Its effects on the respiratory system of the susceptible population have been less characterized. This study aimed to estimate the association of short-term PM2.5 exposure with respiratory outcomes of the retired adults, and to examine whether these associations were stronger among the subjects with GSTT-null genotype. 32 healthy subjects (55-77 years) were recruited for five follow-up examinations. Ambient concentrations of PM2.5 were monitored consecutively for 7 days prior to physical examination. Pulmonary outcomes including forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1), peak expiratory flow (PEF), and fractional exhaled nitric oxide (FeNO), and nasal fluid concentrations of 8-epi-prostaglandin F2 alpha (8-epi-PGF2α), tumor necrosis factor-α (TNF-α), interleukin-8 (IL-8) and IL-1β were measured. A linear mixed-effect model was introduced to evaluate the associations of PM2.5 concentrations with respiratory outcomes. Additionally, GSTT1 genotype-based stratification was performed to characterize modification on PM2.5-related respiratory outcomes. We found that a 10 μg/m3 increase in PM2.5 was associated with decreases of 0.52 L (95% confidence interval [CI]: -1.04, -0.002), 0.64 L (95% CI: -1.13, -0.16), 0.1 (95% CI: -0.23, 0.04) and 2.87 L/s (95% CI: -5.09, -0.64) in FVC, FEV1, FEV1/FVC ratio and PEF at lag 2, respectively. Meanwhile, marked increases of 80.82% (95% CI: 5.13%, 156.50%) in IL-8, 77.14% (95% CI: 1.88%, 152.40%) in IL-1β and 67.87% (95% CI: 14.85%, 120.88%) in 8-epi-PGF2α were observed as PM2.5 concentration increased by 10 μg/m3 at lag 2. Notably, PM2.5-associated decreases in FVC and PEF and increase in FeNO were stronger among the subjects with GSTT1-null genotype. In summary, short-term exposure to PM2.5 is associated with nasal inflammation, oxidative stress and lung function reduction in the retired subjects. Lung function reduction and inflammation are stronger among the subjects with GSTT1-null genotype.
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Affiliation(s)
- Beibei Sun
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Jie Song
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Ya Wang
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Jing Jiang
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Zhen An
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Juan Li
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Yange Zhang
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Gui Wang
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Huijun Li
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Neil E Alexis
- Center for Environmental Medicine, Asthma, and Lung Biology, University of North Carolina at Chapel Hill, NC, 27599, United States
| | - Ilona Jaspers
- Center for Environmental Medicine, Asthma, and Lung Biology, University of North Carolina at Chapel Hill, NC, 27599, United States
| | - Weidong Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China.
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Michikawa T, Morokuma S, Takeda Y, Yamazaki S, Nakahara K, Takami A, Yoshino A, Sugata S, Saito S, Hoshi J, Kato K, Nitta H, Nishiwaki Y. Maternal exposure to fine particulate matter over the first trimester and umbilical cord insertion abnormalities. Int J Epidemiol 2021; 51:191-201. [PMID: 34524459 DOI: 10.1093/ije/dyab192] [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: 02/04/2021] [Accepted: 08/16/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Our hypothesis was that exposure to fine particulate matter (PM2.5) is related to abnormal cord insertion, which is categorized as a form of placental implantation abnormality. We investigated the association between exposure to total PM2.5 and its chemical components over the first trimester and abnormal cord insertion, which contributes to the occurrence of adverse birth outcomes. METHODS From the Japan Perinatal Registry Network database, we used data on 83 708 women who delivered singleton births at 39 cooperating hospitals in 23 Tokyo wards (2013-2015). We collected PM2.5 on a filter and measured daily concentrations of carbon and ion components. Then, we calculated the average concentrations over the first trimester (0-13 weeks of gestation) for each woman. A multilevel logistic-regression model with the hospital as a random effect was used to estimate the odds ratios (ORs) of abnormal cord insertion. RESULTS Among the 83 708 women (mean age at delivery = 33.7 years), the frequency of abnormal cord insertion was 4.5%, the median concentration [interquartile range (IQR)] of total PM2.5 was 16.1 (3.61) μg/m3 and the OR per IQR for total PM2.5 was 1.14 (95% confidence interval = 1.06-1.23). In the total PM2.5-adjusted models, total carbon, organic carbon, nitrate, ammonium and chloride were positively associated with abnormal insertion. Organic carbon was consistently, and nitrate tended to be, associated with specific types of abnormal insertion (marginal or velamentous cord insertion). CONCLUSIONS Exposure to total PM2.5 and some of its components over the first trimester increased the likelihood of abnormal cord insertion.
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Affiliation(s)
- Takehiro Michikawa
- Department of Environmental and Occupational Health, School of Medicine, Toho University, Tokyo, Japan
| | - Seiich Morokuma
- Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yuki Takeda
- Department of Environmental and Occupational Health, School of Medicine, Toho University, Tokyo, Japan
| | - Shin Yamazaki
- Health and Environmental Risk Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Kazushige Nakahara
- Department of Obstetrics and Gynaecology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Akinori Takami
- Regional Environment Conservation Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Ayako Yoshino
- Regional Environment Conservation Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Seiji Sugata
- Regional Environment Conservation Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Shinji Saito
- Tokyo Metropolitan Research Institute for Environmental Protection, Tokyo, Japan
| | - Junya Hoshi
- Tokyo Metropolitan Research Institute for Environmental Protection, Tokyo, Japan
| | - Kiyoko Kato
- Department of Obstetrics and Gynaecology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroshi Nitta
- Health and Environmental Risk Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan
| | - Yuji Nishiwaki
- Department of Environmental and Occupational Health, School of Medicine, Toho University, Tokyo, Japan
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36
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Guo P, He Z, Jalaludin B, Knibbs LD, Leskinen A, Roponen M, Komppula M, Jalava P, Hu L, Chen G, Zeng X, Yang B, Dong G. Short-Term Effects of Particle Size and Constituents on Blood Pressure in Healthy Young Adults in Guangzhou, China. J Am Heart Assoc 2021; 10:e019063. [PMID: 33942624 PMCID: PMC8200702 DOI: 10.1161/jaha.120.019063] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 02/04/2021] [Indexed: 12/21/2022]
Abstract
Background Although several studies have focused on the associations between particle size and constituents and blood pressure, results have been inconsistent. Methods and Results We conducted a panel study, between December 2017 and January 2018, in 88 healthy university students in Guangzhou, China. Weekly systolic blood pressure and diastolic blood pressure were measured for each participant for 5 consecutive weeks, resulting in a total of 440 visits. Mass concentrations of particles with an aerodynamic diameter of ≤2.5 µm (PM2.5), ≤1.0 µm (PM1.0), ≤0.5 µm (PM0.5), ≤0.2 µm (PM0.2), and number concentrations of airborne particulates of diameter ≤0.1 μm were measured. Linear mixed-effect models were used to estimate the associations between blood pressure and particles and PM2.5 constituents 0 to 48 hours before blood pressure measurement. PM of all the fractions in the 0.2- to 2.5-μm range were positively associated with systolic blood pressure in the first 24 hours, with the percent changes of effect estimates ranging from 3.5% to 8.8% for an interquartile range increment of PM. PM0.2 was also positively associated with diastolic blood pressure, with an increase of 5.9% (95% CI, 1.0%-11.0%) for an interquartile range increment (5.8 μg/m3) at lag 0 to 24 hours. For PM2.5 constituents, we found positive associations between chloride and diastolic blood pressure (1.7% [95% CI, 0.1%-3.3%]), and negative associations between vanadium and diastolic blood pressure (-1.6% [95% CI, -3.0% to -0.1%]). Conclusions Both particle size and constituent exposure are significantly associated with blood pressure in the first 24 hours following exposure in healthy Chinese adults.
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Affiliation(s)
- Peng‐Yue Guo
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk AssessmentDepartment of Occupational and Environmental HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
| | - Zhi‐Zhou He
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk AssessmentDepartment of Occupational and Environmental HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
| | - Bin Jalaludin
- Centre for Air Quality and Health Research and EvaluationGlebeAustralia
- Ingham Institute for Applied Medial ResearchUniversity of New South WalesSydneyAustralia
| | - Luke D. Knibbs
- School of Public HealthThe University of QueenslandHerstonQueenslandAustralia
| | - Ari Leskinen
- Finnish Meteorological InstituteKuopioFinland
- Department of Applied PhysicsUniversity of Eastern FinlandKuopioFinland
| | - Marjut Roponen
- Department of Environmental and Biological SciencesUniversity of Eastern FinlandKuopioFinland
| | | | - Pasi Jalava
- Department of Environmental and Biological SciencesUniversity of Eastern FinlandKuopioFinland
| | - Li‐Wen Hu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk AssessmentDepartment of Occupational and Environmental HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk AssessmentDepartment of Occupational and Environmental HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
| | - Xiao‐Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk AssessmentDepartment of Occupational and Environmental HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
| | - Bo‐Yi Yang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk AssessmentDepartment of Occupational and Environmental HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
| | - Guang‐Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk AssessmentDepartment of Occupational and Environmental HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
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Yao Y, Chen X, Chen W, Wang Q, Fan Y, Han Y, Wang T, Wang J, Qiu X, Zheng M, Que C, Zhu T. Susceptibility of individuals with chronic obstructive pulmonary disease to respiratory inflammation associated with short-term exposure to ambient air pollution: A panel study in Beijing. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 766:142639. [PMID: 33069482 DOI: 10.1016/j.scitotenv.2020.142639] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 09/24/2020] [Accepted: 09/26/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide. There is no clear evidence of whether COPD patients are more susceptible to respiratory inflammation associated with short-term exposure to air pollutants than those without COPD. OBJECTIVES This study directly compared air pollutant-associated respiratory inflammation between COPD patients and healthy controls. METHODS This study is based on the COPDB panel study (COPD in Beijing). Fractional exhaled nitric oxide (FeNO) was repeatedly measured in 53 COPD patients and 82 healthy controls at up to four clinical visits. Concentrations of carbon monoxide (CO), nitrogen monoxide, nitrogen dioxide (NO2), sulfur dioxide (SO2), fine particulate matter (PM2.5), black carbon (BC), ultrafine particles (UFPs), and accumulated-mode particles (Acc) were monitored continuously at a fixed-site monitoring station. Linear mixed-effects models were used to compare the associations between ln-transformed FeNO and average 1-23 h concentrations of air pollutants before the clinical visits. RESULTS FeNO was positively associated with interquartile range (IQR) increases in average concentrations of CO, NO2, SO2, BC, UFPs, and Acc in all participants, with the strongest associations in different time-windows (range from 6.6% for average 1 h NO2 exposure to 32.1% for average 7 h SO2 exposure). Associations between FeNO and average 13-23 h PM2.5 exposure differed significantly according to COPD status. Increases in FeNO associated with average 1-2 h NO exposure were significant in COPD patients (range 8.9-10.2%), while the associations were nonsignificant in healthy controls. Associations between FeNO and average 1-23 h CO and SO2 exposure tended to be higher in COPD patients than in healthy controls, although the differences were not significant. UFPs-associated respiratory inflammation was robust in both subgroups. CONCLUSIONS COPD patients are more susceptible to respiratory inflammation following PM2.5, NO, CO, and SO2 exposure than individuals without COPD.
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Affiliation(s)
- Yuan Yao
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Xi Chen
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China; GRiC, Shenzhen Institute of Building Research Co., Ltd., Shenzhen, China.
| | - Wu Chen
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Qi Wang
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Yunfei Fan
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Yiqun Han
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, Imperial College London, London, UK.
| | - Teng Wang
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Junxia Wang
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Xinghua Qiu
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Mei Zheng
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Chengli Que
- Peking University First Hospital, Peking University, Beijing, China.
| | - Tong Zhu
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
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38
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Liang Y, Hu L, Li J, Liu F, Jones KC, Li D, Liu J, Chen D, You J, Yu Z, Zhang G, Dong G, Ma H. Short-term personal PM 2.5 exposure and change in DNA methylation of imprinted genes: Panel study of healthy young adults in Guangzhou city, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 275:116601. [PMID: 33549891 DOI: 10.1016/j.envpol.2021.116601] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/22/2021] [Accepted: 01/24/2021] [Indexed: 05/28/2023]
Abstract
DNA methylation (DNAm) plays a significant role in deleterious health effects inflicted by fine particulate matter (PM2.5) on the human body. Recent studies have reported that DNAm of imprinted control regions (ICRs) in imprinted genes may be a sensitive biomarker of environmental exposure. Less is known about specific biomarkers of imprinted genes after PM2.5 exposure. The relationship between PM2.5 and its chemical constituents and DNAm of ICRs in imprinted genes after short-term exposure was investigated to determine specific human biomarkers of its adverse health effects. A panel study was carried out in healthy young people in Guangzhou, China. Mixed-effects models were used to evaluate the influence of PM2.5 and its constituent exposure on DNAm while controlling for potential confounders. There was no significant correlation between DNAm and personal PM2.5 exposure mass. DNAm changes in eight ICRs (L3MBTL1, NNAT, PEG10, GNAS Ex1A, MCTS2, SNURF/SNRPN, IGF2R, and RB1) and a non-imprinted gene (CYP1B1) were significantly associated with PM2.5 constituents. Compared to non-imprinted genes, imprinted gene methylation was more susceptible to interference with PM2.5 constituent exposure. Among those genes, L3MBTL1 was the most sensitive to personal PM2.5 constituent exposure. Moreover, transition metals derived from traffic sources (Cd, Fe, Mn, and Ni) significantly influenced DNAm of the imprinted genes, suggesting the importance of more targeted measures to reduce toxic constituents. Bioinformatics analysis indicated that imprinted genes (RB1) may be correlated with pathways and diseases (non-small cell lung cancer, glioma, and bladder cancer). The present study suggests that screening the imprinted gene for DNAm can be used as a sensitive biomarker of PM2.5 exposure. The results will provide data for prevention of PM2.5 exposure and a novel perspective on potential mechanisms on an epigenetic level.
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Affiliation(s)
- Yaohui Liang
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Liwen Hu
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jun Li
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Fei Liu
- School of Business Administration, South China University of Technology, Guangzhou, 510641, China
| | - Kevin C Jones
- Lancaster Environmental Centre, Lancaster University, LA1 4YQ, Lancaster, United Kingdom
| | - Daochuan Li
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jing Liu
- Guangzhou First People's Hospital, Guangzhou, 510180, China
| | - Duohong Chen
- Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China
| | - Jing You
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, China
| | - Zhiqiang Yu
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Gan Zhang
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Guanghui Dong
- Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Huimin Ma
- State Key Laboratory of Organic Geochemistry and Guangdong Province Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; Lancaster Environmental Centre, Lancaster University, LA1 4YQ, Lancaster, United Kingdom.
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Kocot K, Zejda JE. Acute cardiorespiratory response to ambient air pollution exposure during short-term physical exercise in young males. ENVIRONMENTAL RESEARCH 2021; 195:110746. [PMID: 33484723 DOI: 10.1016/j.envres.2021.110746] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 12/30/2020] [Accepted: 01/10/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Physical exercise in the presence of ambient air pollution may increase the absorbed dose of air pollutants. The combined effect of such exposure on cardiorespiratory function in young adults remains unclear. AIM To determine the acute cardiorespiratory responses in healthy young adults preforming submaximal physical exercise under exposure to high level winter-type ambient air pollution. METHODS Healthy young males (n=30) performed two separate 15-minute submaximal exercise trials on a cycle ergometer - when air pollutants' concentrations were increased (exposure trial) and when air quality was good (control trial). Each time blood pressure, pulse oximetry, spirometry and fractional exhaled nitric oxide (FeNO) were measured at baseline, directly after exercise and after 15-min of rest. RESULTS High air pollutants concentrations were observed during exposure trials (PM2.5 24.0-157.0 μg/m3, SO2 8.7-85.8 μg/m3). Group-based correlation analysis showed statistically significant negative correlations between post-exercise declines in FEV1/FVC and SO2, PM10 and PM2.5 concentrations. In individual cases the decrease was recorded only in subjects who exercised under particularly high exposure, and was not related to their BMI, physical activity pattern or allergy status. In multivariate analysis SO2 was a statistically significant predictor of both immediate (OR: 1.09, 95%CI: 1.01-1.17) and delayed decrease in airflow (OR: 1.08, 95%CI: 1.01-1.16), and PM2.5 was also a statistically significantly explanatory variable of post-exercise decline in FEV1/FVC (OR: 1.03, 95%CI: 1.00-1.06). CONCLUSION In young and healthy males exposure to ambient air pollution during short-term submaximal exercise is associated with a decrease in airflow (FEV1/FVC) and the decrease is more apparent when the exercise takes place under particularly high exposure conditions.
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Affiliation(s)
- Krzysztof Kocot
- Medical University of Silesia in Katowice, Faculty of Medical Sciences in Katowice, Department of Epidemiology, Medyków 18, 40-752, Katowice, Poland.
| | - Jan E Zejda
- Medical University of Silesia in Katowice, Faculty of Medical Sciences in Katowice, Department of Epidemiology, Medyków 18, 40-752, Katowice, Poland
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40
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Han Y, Chatzidiakou L, Yan L, Chen W, Zhang H, Krause A, Xue T, Chan Q, Liu J, Wu Y, Barratt B, Jones R, Zhu T, Kelly FJ. Difference in ambient-personal exposure to PM 2.5 and its inflammatory effect in local residents in urban and peri-urban Beijing, China: results of the AIRLESS project. Faraday Discuss 2021; 226:569-583. [PMID: 33295898 DOI: 10.1039/d0fd00097c] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Measurement of ambient fine particulate matter (PM2.5) is often used as a proxy of personal exposure in epidemiological studies. However, the difference between personal and ambient exposure, and whether it biases the estimates of health effects remain unknown. Based on an epidemiological study (AIRLESS) and simultaneously launched intensive monitoring campaigns (APHH), we quantified and compared the personal and ambient exposure to PM2.5 and the related health impact among residents in Beijing, China. In total, 123 urban and 128 peri-urban non-smoking participants were recruited from two well-established cohorts in Beijing. During winter 2016 and summer 2017, each participant was instructed to carry a validated personal air monitor (PAM) to measure PM2.5 concentration at high spatiotemporal resolution for seven consecutive days in each season. Multiple inflammatory biomarkers were measured, including exhaled NO, blood monocytes counts and C-reactive protein. Linear mixed-effect models were used for the associations between exposure and health outcomes with adjustment for confounders. The average level of daily personal exposure to PM2.5 was consistently lower than using corresponding ambient concentration, and the difference is greater during the winter. The personal to ambient (P/A) ratio of exposure to PM2.5 exhibited an exponentially declining trend, and showed larger variations when ambient PM2.5 levels < 25 μg m-3. Personal exposure to PM2.5 was significantly associated with the increase in respiratory and systemic inflammatory biomarkers; however, the associations were weaker or became insignificant when ambient concentrations were used. Exposure to ambient PM2.5 might not be a good proxy to estimate the health effect of exposure to personal PM2.5.
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Affiliation(s)
- Yiqun Han
- Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK.
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Chen T, Chen F, Wang K, Ma X, Wei X, Wang W, Huang P, Yang D, Xia Z, Zhao Z. Acute respiratory response to individual particle exposure (PM 1.0, PM 2.5 and PM 10) in the elderly with and without chronic respiratory diseases. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 271:116329. [PMID: 33370612 DOI: 10.1016/j.envpol.2020.116329] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 12/12/2020] [Accepted: 12/14/2020] [Indexed: 06/12/2023]
Abstract
Limited data were on the acute respiratory responses in the elderly in response to personal exposure of particulate matter (PM). In order to evaluate the changes of airway inflammation and pulmonary functions in the elderly in response to individual exposure of particles (PM1.0, PM2.5 and PM10), we analyzed 43 elderly subjects with either asthma, chronic obstructive pulmonary disease (COPD) or Asthma COPD Overlap (ACO) and 40 age-matched subjects without asthma nor COPD in an urban community in Shanghai, China. Data were collected at the baseline and in 6 follow-ups from August 2016 to December 2018, once every 3 months except for the last twice with a 6-month interval. In each follow-up, pulmonary functions, fractional exhaled nitric oxide (FeNO), 7-day continuous personal exposure to airborne particles were measured. Multivariate linear mixed effect regression models were applied to investigate the quantitative changes of pulmonary functions and FeNO in two respective groups. The results showed that on average 4.7 follow-up visits were completed in each participant. In subjects with CRDs, an inter-quartile range (IQR) increase of personal exposure to PM1.0, PM2.5 and PM10 was significantly associated with an average increase of FeNO(Lag1) of 6.7 ppb (95%CI 1.2, 9.9 ppb), 6.2 ppb (95%CI 1.5, 12.0 ppb) and 5.6 ppb (95%CI 1.5, 11.0 ppb), respectively, and an average decrease of FEV1(Lag2) of -3.6 L (95%CI -6.0, -1.1 L), -3.6 L (95%CI -6.4, -0.8 L) and -3.2 L (95%CI -5.8, -0.6 L), respectively, in the single-pollutant model. These associations remained consistent in the two-pollutant models adjusting for gaseous air pollutants. Stratified analysis showed that subjects with lower BMI, females and non-allergies were more sensitive to particle exposure. No robust significant effects were observed in the subjects without CRDs. Our study provided data on the susceptibility of the elderly with CRDs to particle exposure of PM1.0 and PM2.5, and the modification effects by BMI, gender and history of allergies.
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Affiliation(s)
- Tianyi Chen
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Fei'er Chen
- Shanghai Municipal Center for Disease Control & Prevention, Shanghai, China
| | - Kan Wang
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Xuedong Ma
- Shanghai Minhang District Gumei Community Health Center affiliated to Fudan University, Shanghai, 201102, China
| | - Xinping Wei
- Shanghai Minhang District Gumei Community Health Center affiliated to Fudan University, Shanghai, 201102, China
| | - Weigang Wang
- Shanghai Minhang District Gumei Community Health Center affiliated to Fudan University, Shanghai, 201102, China
| | - Pengyu Huang
- Shanghai Minhang District Gumei Community Health Center affiliated to Fudan University, Shanghai, 201102, China
| | - Dong Yang
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Zhaolin Xia
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Zhuohui Zhao
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, 200032, China; Key Laboratory of Public Health Safety of the Ministry of Education, NHC Key Laboratory of Health Technology Assessment (Fudan University), Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, 200030, China.
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42
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Ji N, Fang M, Baptista A, Cepeda C, Greenberg M, Mincey IC, Ohman-Strickland P, Haynes F, Fiedler N, Kipen HM, Laumbach RJ. Exposure to traffic-related air pollution and changes in exhaled nitric oxide and DNA methylation in arginase and nitric oxide synthase in children with asthma. Environ Health 2021; 20:12. [PMID: 33573660 PMCID: PMC7879528 DOI: 10.1186/s12940-020-00678-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 11/13/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Traffic-related air pollution (TRAP) has been associated with increased risk of airway inflammation in children with asthma. While epigenetic changes could potentially modulate TRAP-induced inflammatory responses, few studies have assessed the temporal pattern of exposure to TRAP, epigenetic changes and inflammation in children with asthma. Our goal was to test the time-lag patterns of personal exposure to TRAP, airway inflammation (measured as fractional exhaled nitric oxide, FeNO), and DNA methylation in the promoter regions of genes involved in nitric oxide synthesis among children with asthma. METHODS We measured personal exposure to black carbon (BC) and FeNO for up to 30 days in a panel of children with asthma. We collected 90 buccal cell samples for DNA methylation analysis from 18 children (5 per child). Methylation in promoter regions of nitric oxide synthase (NOS1, NOS2A, NOS3) and arginase (ARG1, ARG2) was assessed by bisulfite pyrosequencing. Linear-mixed effect models were used to test the associations of BC at different lag periods, percent DNA methylation at each site and FeNO level. RESULTS Exposure to BC was positively associated with FeNO, and negatively associated with DNA methylation in NOS3. We found strongest association between FeNO and BC at lag 0-6 h while strongest associations between methylation at positions 1 and 2 in NOS3 and BC were at lag 13-24 h and lag 0-24 h, respectively. The strengths of associations were attenuated at longer lag periods. No significant associations between exposure to TRAP and methylation levels in other NOS and ARG isoforms were observed. CONCLUSIONS Exposure to TRAP was associated with higher levels of FeNO and lower levels of DNA methylation in the promoter regions of the NOS3 gene, indicating that DNA methylation of the NOS3 gene could be an important epigenetic mechanism in physiological responses to TRAP in children with asthma.
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Affiliation(s)
- N Ji
- Rutgers, The State University of New Jersey, 170 Frelinghuysen Rd, Room 204, Piscataway, NJ, 08854, USA
| | - M Fang
- Rutgers, The State University of New Jersey, 170 Frelinghuysen Rd, Room 204, Piscataway, NJ, 08854, USA
| | | | - C Cepeda
- Rutgers, The State University of New Jersey, 170 Frelinghuysen Rd, Room 204, Piscataway, NJ, 08854, USA
| | | | | | - P Ohman-Strickland
- Rutgers, The State University of New Jersey, 170 Frelinghuysen Rd, Room 204, Piscataway, NJ, 08854, USA
| | - F Haynes
- Rutgers, The State University of New Jersey, 170 Frelinghuysen Rd, Room 204, Piscataway, NJ, 08854, USA
| | - N Fiedler
- Rutgers, The State University of New Jersey, 170 Frelinghuysen Rd, Room 204, Piscataway, NJ, 08854, USA
| | - H M Kipen
- Rutgers, The State University of New Jersey, 170 Frelinghuysen Rd, Room 204, Piscataway, NJ, 08854, USA
| | - R J Laumbach
- Rutgers, The State University of New Jersey, 170 Frelinghuysen Rd, Room 204, Piscataway, NJ, 08854, USA.
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43
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Carvalho-Oliveira R, Amato-Lourenço LF, Almeida PS, Garcia BBM, Vieira WKM, Santana A, Motta Godinho-Netto MC, Carretero ME, Nascimento Saldiva PH, Mauad T. Effects of long-standing exposure to heavy-duty diesel vehicle traffic on respiratory symptoms and airway inflammation in older adults. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 268:115893. [PMID: 33126158 DOI: 10.1016/j.envpol.2020.115893] [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: 06/25/2020] [Revised: 10/06/2020] [Accepted: 10/15/2020] [Indexed: 06/11/2023]
Abstract
In the present study, we evaluated the effects of chronic exposure to traffic from a heavy-duty diesel-fueled vehicle area on respiratory symptoms and airway inflammation in a nonsmoking adult and elderly population. Respiratory symptoms were evaluated by the ISAAC questionnaire (International Study of Asthma and Allergies questionnaire), and airway inflammation was assessed by fractional exhaled nitric oxide (FeNO). Forty volunteers were selected from the 112 volunteers who completed the ISAAC questionnaire for the measurement of FeNO. The FeNO population comprised seven men (six aged ≥ 64 years old, four aged ≥ 75 years old) and 32 women (27 aged ≥ 64 years old, nine aged ≥ 75 years old). FeNO levels were tracked for six months, from November 2014 to June 2015. Results: Twenty-four percent of the volunteers reported having had wheezing in the chest in the last 12 months. However, only 2.7% of the volunteers reported doctor-diagnosed asthma. There was a positive association between FeNO and pollutants in most of the study months. An increase of 1 μg m-3 in NO2 was associated with a mean increase of 1.08 ppb in FeNO, and an increase of 1 μg m-3 in O3 was associated with a mean increase of 1.06 ppb in FeNO. The relative risk for NO2 ranged from 1.009 to 1.32 and that for O3 ranged from 1.014 to 1.020. Conclusion: The frequency of respiratory symptoms was much higher than the previously described levels of 6% in the Brazilian adult population. In summary, a high frequency of respiratory symptoms and high levels of FeNO were described in an underdiagnosed adult population living very close to a heavy-duty diesel-traffic area. Older elderly adults presented greater susceptibility to airway inflammation than younger adults.
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Affiliation(s)
- Regiani Carvalho-Oliveira
- Pathology Department, School of Medicine at Sao Paulo University (FMUSP), Brazil; National Institute for Integrated Analysis of Environmental Risk (INAIRA), Brazil.
| | | | - Pâmela S Almeida
- Pathology Department, School of Medicine at Sao Paulo University (FMUSP), Brazil; Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP), Brazil
| | - Bianca B M Garcia
- Pathology Department, School of Medicine at Sao Paulo University (FMUSP), Brazil; Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP), Brazil
| | - William K M Vieira
- Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP), Brazil
| | - Ariane Santana
- Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP), Brazil
| | | | - Maria E Carretero
- Pathology Department, School of Medicine at Sao Paulo University (FMUSP), Brazil
| | - Paulo H Nascimento Saldiva
- Pathology Department, School of Medicine at Sao Paulo University (FMUSP), Brazil; National Institute for Integrated Analysis of Environmental Risk (INAIRA), Brazil
| | - Thais Mauad
- Pathology Department, School of Medicine at Sao Paulo University (FMUSP), Brazil; National Institute for Integrated Analysis of Environmental Risk (INAIRA), Brazil
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44
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Kocot K, Barański K, Melaniuk-Wolny E, Zajusz-Zubek E, Kowalska M. Acute FeNO and Blood Pressure Responses to Air Pollution Exposure in Young Adults during Physical Activity. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17239012. [PMID: 33287310 PMCID: PMC7731248 DOI: 10.3390/ijerph17239012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 11/27/2020] [Accepted: 12/01/2020] [Indexed: 01/22/2023]
Abstract
During physical exercise, the absorbed dose of air pollutants increases. Acute effects of exposure to air pollutants during exercise in healthy young adults remain poorly documented. The aim of this study was to assess the acute responses in fractionated exhaled nitric oxide (FeNO) and blood pressure to air pollution exposure during exercise in young adults with different physical activity levels (low or high). In this study, 76 healthy university students participating in physical activity classes (low level of physical activity) and attending sports training (high level of physical activity) completed two indoor exercise trials when air pollutant concentrations were high (exposure trial) and when the quality of the air was good (control trial). We monitored indoor particulate matter with diameter <10 µm and <2.5 µm (PM10 and PM2.5) and outdoor PM10, nitric oxides (NO2, NOx, NO), and sulfur dioxide (SO2) concentrations. Systolic and diastolic blood pressure (SBP and DBP), heart rate (HR), oxygen saturation (SpO2), and FeNO were measured at baseline and after 45-60 min of physical activity. There were no significant differences between physiological responses to training performed under different exposure conditions in blood pressure, HR, and SpO2. Significant positive correlations between post-exercise ΔFeNO during exposure trials and ambient air pollutants were found. FeNO increase during the exposure trial was associated with a higher physical activity level and higher outdoor PM10 and NO2 concentrations. In young and healthy adults, some differences in physiological responses to physical activity between polluted and control environments could be observed. Participants with a high physical activity level were more likely to have an increase in FeNO after exercise in a polluted environment but not after the control exercise trials.
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Affiliation(s)
- Krzysztof Kocot
- Department of Epidemiology, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-752 Katowice, Poland; (K.B.); (M.K.)
- Correspondence:
| | - Kamil Barański
- Department of Epidemiology, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-752 Katowice, Poland; (K.B.); (M.K.)
| | - Edyta Melaniuk-Wolny
- Department of Air Protection, Faculty of Energy and Environmental Engineering, Silesian University of Technology in Gliwice, 44-100 Gliwice, Poland; (E.M.-W.); (E.Z.-Z.)
| | - Elwira Zajusz-Zubek
- Department of Air Protection, Faculty of Energy and Environmental Engineering, Silesian University of Technology in Gliwice, 44-100 Gliwice, Poland; (E.M.-W.); (E.Z.-Z.)
| | - Małgorzata Kowalska
- Department of Epidemiology, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-752 Katowice, Poland; (K.B.); (M.K.)
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45
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Pfeffer PE, Mudway IS, Grigg J. Air Pollution and Asthma: Mechanisms of Harm and Considerations for Clinical Interventions. Chest 2020; 159:1346-1355. [PMID: 33461908 DOI: 10.1016/j.chest.2020.10.053] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 10/08/2020] [Accepted: 10/18/2020] [Indexed: 12/15/2022] Open
Abstract
There is global concern regarding the harmful impact of polluted air on the respiratory health of patients with asthma. Multiple epidemiologic studies have shown ongoing associations between high levels of air pollution and poor early life lung growth, development of allergic sensitization, development of asthma, airway inflammation, acutely impaired lung function, respiratory tract infections, and asthma exacerbations. However, studies have often yielded inconsistent findings, and not all studies have found significant associations; this may be related to both variations in statistical, measurement, and modeling methodologies between studies as well as differences in the concentrations and composition of air pollution globally. Overall, this variation in findings suggests we still do not fully understand the effects of ambient pollution on the lungs and on the evolution and exacerbation of airway diseases. There is clearly a need to augment epidemiologic studies with experimental studies to clarify the underlying mechanistic basis for the adverse responses reported and to identify the key gaseous and particle-related components within the complex air pollution mixture driving these outcomes. Some progress toward these aims has been made. This article reviews studies providing an improved understanding of causal pathways linking air pollution to asthma development and exacerbation. The article also considers potential strategies to reduce asthma morbidity and mortality through regulation and behavioral/pharmacologic interventions, including a consideration of pollutant avoidance strategies and antioxidant and/or vitamin D supplementation.
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Affiliation(s)
- Paul E Pfeffer
- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, England.
| | - Ian S Mudway
- MRC Centre for Environment and Health Asthma UK Centre in Allergic Mechanisms of Asthma and NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, London, England
| | - Jonathan Grigg
- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, England
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46
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DNA Methylation in Chronic Obstructive Pulmonary Disease. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1255:83-98. [PMID: 32949392 DOI: 10.1007/978-981-15-4494-1_7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Chronic obstructive pulmonary disease (COPD) is a lung disease affected by both genetic and environmental factors. Therefore, the role of epigenetics in the pathogenesis of COPD has attracted much attention. As one of the three epigenetic mechanisms, DNA methylation has been extensively studied in COPD. The present review aims at overviewing the effect of DNA methylation on etiology, pathogenesis, pathophysiological changes, and complications of COPD. The clarification of aberrant methylation of target genes, which play important roles in the initiation and progression of COPD, will provide new disease-specific biomarker and targets for early diagnosis and therapy.
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47
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Yu G, Ao J, Cai J, Luo Z, Martin R, Donkelaar AV, Kan H, Zhang J. Fine particular matter and its constituents in air pollution and gestational diabetes mellitus. ENVIRONMENT INTERNATIONAL 2020; 142:105880. [PMID: 32593838 DOI: 10.1016/j.envint.2020.105880] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 06/01/2020] [Accepted: 06/05/2020] [Indexed: 05/06/2023]
Abstract
BACKGROUND Ambient air pollution has been linked to the development of gestational diabetes mellitus (GDM). However, previous studies provided inconsistent findings and no study has examined the effects of complex chemical constituents of the particular matter on GDM, especially in developing countries. Therefore, we aim to investigate the associations of exposure to PM2.5 (particular matter ≤ 2.5 μm) and its constituents with GDM, and to identify susceptible exposure window in a large survey in China. METHODS The China Labor and Delivery Survey was a cross-sectional investigation conducted in 24 provinces in China between 2015 and 2016. A random sample of all deliveries in each participating hospital was selected and detailed obstetric and newborn information was extracted from medical records. Average concentrations of PM2.5 and six constituents (organic matter, black carbon, sulfate, nitrate, ammonium and soil dust) were estimated (1 km × 1 km) using a combined geoscience-statistical model. GDM was diagnosed based on an oral glucose tolerance test (OGTT) between 24 to 28 weeks of gestation and according to IADPSG criteria. Generalized linear mixed models were used to adjust for potential confounders. RESULTS A total of 54,517 subjects from 55 hospitals were included. The incidence of GDM was 10.8%. An interquartile range (IQR) increase in PM2.5 exposure in the 2nd trimester of pregnancy was associated with an increased GDM risk in the single pollutant model, [adjusted odds ratio (aOR) = 1.11 and 95% confidence interval (CI): 1.01-1.22]. Exposure to organic matter (aOR = 1.14; 95%CI: 1.05-1.23), black carbon (aOR = 1.15; 95%CI: 1.07-1.25) and nitrate (aOR = 1.13; 95%CI: 1.02-1.24) during 2nd trimester were associated with increased risks of GDM. Associations between constituents and GDM were robust after controlling for total PM2.5 mass and accounting for multi-collinearity. CONCLUSIONS Exposure to PM2.5 in 2nd trimester of pregnancy was associated with an increased risk of GDM. Organic matter, black carbon and nitrate may be the main culprits for the association.
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Affiliation(s)
- Guoqi Yu
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - Junjie Ao
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - Jing Cai
- School of Public Health, Fudan University, Shanghai 200032, China
| | - Zhongcheng Luo
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - Randall Martin
- Department of Physics and Atmospheric Science, Dalhousie University, 6300 Coburg Road, Halifax, Nova Scotia B3H 3J5, Canada
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, 6300 Coburg Road, Halifax, Nova Scotia B3H 3J5, Canada
| | - Haidong Kan
- School of Public Health, Fudan University, Shanghai 200032, China.
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China; School of Public Health, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China.
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48
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Duan RR, Hao K, Yang T. Air pollution and chronic obstructive pulmonary disease. Chronic Dis Transl Med 2020; 6:260-269. [PMID: 33336171 PMCID: PMC7729117 DOI: 10.1016/j.cdtm.2020.05.004] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Indexed: 01/01/2023] Open
Abstract
There is considerable epidemiological evidence indicating that air pollution has adverse effects on human health and is closely related to respiratory diseases, including chronic obstructive pulmonary disease (COPD). These effects, which can be divided into short- and long-term effects, can manifest as an exacerbation of existing symptoms, impaired lung function, and increased hospitalization and mortality rates. Long-term exposure to air with a high concentration of pollutants may also increase the incidence of COPD. The combined effects of different pollutants may become more complex in the future; hence, there is a need for more intensive research on specific at-risk populations, and formulating corresponding protective strategies is crucial. We aimed to review the epidemiological evidence on the effect of air pollution on COPD, the possible pathophysiological mechanisms underlying this effect, as well as protective measures against the effects of air pollutants in patients with COPD.
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Affiliation(s)
- Rui-Rui Duan
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China.,Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China.,National Clinical Research Center for Respiratory Diseases, Beijing 100029, China.,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing 100029, China
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Ting Yang
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China.,Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China.,National Clinical Research Center for Respiratory Diseases, Beijing 100029, China.,Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing 100029, China
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49
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Chen X, Han Y, Chen W, Wang Y, Qiu X, Li W, Hu M, Wu Y, Wang Q, Zhang H, Zhu T. Respiratory Inflammation and Short-Term Ambient Air Pollution Exposures in Adult Beijing Residents with and without Prediabetes: A Panel Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:67004. [PMID: 32484751 PMCID: PMC7263737 DOI: 10.1289/ehp4906] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 05/07/2020] [Accepted: 05/14/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Accumulating evidence suggests that individuals with glucose metabolism disorders are susceptible to mortality associated with fine particles. However, the mechanisms remain largely unknown. OBJECTIVES We examined whether particle-associated respiratory inflammation differed between individuals with prediabetes and healthy control participants. METHODS Based on a panel study [A prospective Study COmparing the cardiometabolic and respiratory effects of air Pollution Exposure on healthy and prediabetic individuals (SCOPE)] conducted in Beijing between August 2013 and February 2015, fractional exhaled nitric oxide (FeNO) was measured from 112 participants at two to seven visits to indicate respiratory inflammation. Particulate pollutants-including particulate matter with an aerodynamic diameter of ≤2.5μm (PM2.5), black carbon (BC), ultrafine particles (UFPs), and accumulated-mode particles-were monitored continuously at a single central monitoring site. Linear mixed-effects models were used to estimate associations between ln-FeNO with pollutant concentrations at individual 1-h lags (up to 24 h) and with average concentrations at 8 and 24 h before the clinical visit. We evaluated glucose metabolism disorders as a potential modifier by comparing associations between participants with high vs. low average fasting blood glucose (FBG) and homeostasis model assessment insulin resistance (HOMA-IR) levels. RESULTS FeNO was positively associated with all pollutants, with the strongest associations for an interquartile range increase in 1-h lagged exposures (ranging from 21.3% for PM2.5 to 74.7% for BC). Associations differed significantly according to average HOMA-IR values when lagged 6-18 h for PM2.5, 15-19 h for BC, and 6-15 h for UFPs, with positive associations among those with HOMA-IR≥1.6 while associations were closer to the null or inverse among those with HOMA-IR<1.6. Associations between PM2.5 and FeNO were consistently higher among individuals with average FBG≥6.1 mmol/L vs. low FBG, with significant differences for multiple hourly lags. DISCUSSION Glucose metabolism disorders may aggravate respiratory inflammation following exposure to ambient particulate matter. https://doi.org/10.1289/EHP4906.
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Affiliation(s)
- Xi Chen
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
- Hebei Xiongan Green-Research Inspection and Certification Co., Ltd., Shenzhen Institute of Building Research Co., Ltd., Shenzhen, China
| | - Yiqun Han
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
- Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, Imperial College London, London, UK
| | - Wu Chen
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Yanwen Wang
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Xinghua Qiu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
- Beijing Innovation Center for Engineering Science and Advanced Technology, Peking University, Beijing, China
| | - Weiju Li
- Peking University Hospital, Peking University, Beijing, China
| | - Min Hu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Yusheng Wu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Qi Wang
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Hanxiyue Zhang
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Tong Zhu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
- Beijing Innovation Center for Engineering Science and Advanced Technology, Peking University, Beijing, China
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Lee GH, Kim JH, Kim S, Lee S, Lim DH. Effects of Indoor Air Purifiers on Children with Asthma. Yonsei Med J 2020; 61:310-316. [PMID: 32233173 PMCID: PMC7105409 DOI: 10.3349/ymj.2020.61.4.310] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 02/20/2020] [Accepted: 02/20/2020] [Indexed: 01/10/2023] Open
Abstract
PURPOSE To evaluate the effects of air purifiers on the concentrations of indoor air pollutants and on asthma control in children. MATERIALS AND METHODS In this randomized crossover trial, daily use of an air purifier filter was compared with a matched placebo with the filter off. Thirty elementary school students who had asthma were enrolled and randomly allocated to one of two groups. The primary endpoints were changes in indoor air quality, asthma severity, lung function, airway inflammatory, urine microbiome, and phthalate after the installation of air purifiers. PM2.5 and CO₂ were measured as indoor air pollutants. Asthma severity was assessed in terms of both symptom and medication scores acquired using a daily questionnaire. The higher the score, the better the symptom or the less frequent the use of medication. Peak expiratory flow rate and fractional exhaled nitric oxide were also measured. RESULTS The mean age of the enrolled patients was 9.2±1.98 years. The mean concentration of PM2.5 was 17.0 μg/m³ in the filter-off condition, but significantly lower at 9.26 μg/m³ in the filter-on condition. Medication scores were 6.9 for the filter-off and 7.12 for the filter-on conditions, reflecting a statistically significant decrease in the frequency of medications used during air purifier operation. Bacterial richness, as determined using the Chao 1 index, was markedly lower in the filter-on than the filter-off condition. CONCLUSION This study suggests that air purifiers benefit medication burden in children with asthma by reducing PM2.5 levels.
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Affiliation(s)
- Ga Hee Lee
- Departmenet of Pediatrics, School of Medicine, Inha University, Incheon, Korea
| | - Jeong Hee Kim
- Departmenet of Pediatrics, School of Medicine, Inha University, Incheon, Korea
- Environmental Health Center for Allergic Disease, Inha University Hospital, Ministry of Environment, Incheon, Korea
| | - Sungroul Kim
- Department of Environmental Health Sciences, Soonchunhyang University, Asan, Korea
- Integrated Research Center for Risk Assessment, Soonchunhyang University, Asan, Korea
| | - Sangwoon Lee
- Department of Environmental Health Sciences, Soonchunhyang University, Asan, Korea
- Integrated Research Center for Risk Assessment, Soonchunhyang University, Asan, Korea
| | - Dae Hyun Lim
- Departmenet of Pediatrics, School of Medicine, Inha University, Incheon, Korea
- Environmental Health Center for Allergic Disease, Inha University Hospital, Ministry of Environment, Incheon, Korea
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