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Shen YX, Lee PS, Wang CC, Teng MC, Huang JH, Fan HF. Exploring the Cellular Impact of Size-Segregated Cigarette Aerosols: Insights into Indoor Particulate Matter Toxicity and Potential Therapeutic Interventions. Chem Res Toxicol 2024. [PMID: 38870402 DOI: 10.1021/acs.chemrestox.4c00114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
Exposure to anthropogenic aerosols has been associated with a variety of adverse health effects, increased morbidity, and premature death. Although cigarette smoke poses one of the most significant public health threats, the cellular toxicity of particulate matter contained in cigarette smoke has not been systematically interrogated in a size-segregated manner. In this study, we employed a refined particle size classification to collect cigarette aerosols, enabling a comprehensive assessment and comparison of the impacts exerted by cigarette aerosol extract (CAE) on SH-SY5Y, HEK293T, and A549 cells. Exposure to CAE reduced cell viability in a dose-dependent manner, with organic components having a greater impact and SH-SY5Y cells displaying lower tolerance compared to HEK293T and A549 cells. Moreover, CAE was found to cause increased oxidative stress, mitochondrial dysfunction, and increased levels of apoptosis, pyroptosis, and autophagy, leading to increased cell death. Furthermore, we found that rutin, a phytocompound with antioxidant potential, could reduce intracellular reactive oxygen species and protect against CAE-triggered cell death. These findings underscore the therapeutic potential of antioxidant drugs in mitigating the adverse effects of cigarette aerosol exposure for better public health outcomes.
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Affiliation(s)
- Yu-Xin Shen
- Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol Science Research Center, National Sun Yat-sen University, Kaohsiung 804, Taiwan
| | - Pe-Shuen Lee
- Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol Science Research Center, National Sun Yat-sen University, Kaohsiung 804, Taiwan
| | - Chia C Wang
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol Science Research Center, National Sun Yat-sen University, Kaohsiung 804, Taiwan
| | - Ming-Chu Teng
- Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol Science Research Center, National Sun Yat-sen University, Kaohsiung 804, Taiwan
| | - Jhih-Hong Huang
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol Science Research Center, National Sun Yat-sen University, Kaohsiung 804, Taiwan
| | - Hsiu-Fang Fan
- Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung 804, Taiwan
- Aerosol Science Research Center, National Sun Yat-sen University, Kaohsiung 804, Taiwan
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2
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Deng L, Chen X, Ma P, Wu Y, Okoye CO, Du D, Deng Q. The combined effect of oxidative stress and TRPV1 on temperature-induced asthma: Evidence in a mouse model. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 344:123313. [PMID: 38185356 DOI: 10.1016/j.envpol.2024.123313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/17/2023] [Accepted: 01/04/2024] [Indexed: 01/09/2024]
Abstract
Temperature is one of the possible activators for asthma. As global warming continues, the health hazard of high temperatures is increasing. It is unclear, nevertheless, how high temperatures affect asthma. The research aims to examine how asthma is affected by high temperatures and underlying molecular mechanisms. The BALB/c mice were adopted in a model of asthma. The mice were exposed at 24 °C, 38 °C and 40 °C for 4h on weekdays from day 1 to day 30. After the experiment, the lung function was measured in vivo, and then serum protein, pulmonary inflammation and immunohistochemistry assay was assessed in vitro. As the temperature increased from 24 °C to 40 °C, there was a significant increase in serum protein, while there is no discernible difference in serum protein of OVA-sIgE and OVA-sIgG between the OVA (38 °C) group and OVA (24 °C) group. The immunohistochemistry assay showed a change in the pro-inflammatory cytokines. The histopathological analysis exhibited the change of airway structure after high-temperature exposure, especially for exposure at 40 °C. The results of signals protein showed a remarkable rise of TRPV1 for OVA+40 °C. Our results revealed that high temperatures may make asthmatic airway dysfunction severe, and the higher the temperature, the more serious asthma. The oxidative stress and TRPV1 receptor can be a potential drug target for asthma. It will provide a new tool for precision medicine in asthma.
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Affiliation(s)
- Linjing Deng
- School of Emergency Management, Jiangsu University, 212000, Zhenjiang, China; School of environment and safety engineering, Jiangsu University, 212000, Zhenjiang, China.
| | - Xunfeng Chen
- Biofuels Institute of Jiangsu university, Jiangsu University, 212000, Zhenjiang, China; School of environment and safety engineering, Jiangsu University, 212000, Zhenjiang, China
| | - Ping Ma
- Laboratory of Environment-Immunological and Neurological Diseases, Hubei University of Science and Technology, Xianning, 437100, China
| | - Yang Wu
- Laboratory of Environment-Immunological and Neurological Diseases, Hubei University of Science and Technology, Xianning, 437100, China
| | - Charles Obinwanne Okoye
- School of environment and safety engineering, Jiangsu University, 212000, Zhenjiang, China; Department of Zoology & Environmental Biology, University of Nigeria, Nsukka, 410001, Nigeria
| | - Daolin Du
- School of Emergency Management, Jiangsu University, 212000, Zhenjiang, China; School of environment and safety engineering, Jiangsu University, 212000, Zhenjiang, China
| | - Qihong Deng
- School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
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Adhikary M, Mal P, Saikia N. Exploring the link between particulate matter pollution and acute respiratory infection risk in children using generalized estimating equations analysis: a robust statistical approach. Environ Health 2024; 23:12. [PMID: 38273338 PMCID: PMC10809452 DOI: 10.1186/s12940-024-01049-3] [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: 04/17/2023] [Accepted: 01/07/2024] [Indexed: 01/27/2024]
Abstract
BACKGROUND India is facing a burdensome public health challenge due to air pollution, with a particularly high burden of acute respiratory infections (ARI) among children. To address this issue, our study aims to evaluate the association between exposure to fine particulate matter (PM2.5) and ARI incidence in young children in India. MATERIALS AND METHODS Our study used PM2.5 data provided by the Atmospheric Composition Analysis Group at Washington University to assess the association between PM2.5 exposure and ARI incidence in 223,375 children sampled from the 2019-2021 Demographic Health Survey in India. We employed the generalized estimating equation and reported odds ratios and 95% confidence intervals for a 10 µg/m3 increase in PM2.5 and quartiles of PM2.5 exposure. RESULTS Each 10 µg/m3 increase in PM2.5 levels was associated with an increased odds of ARI (OR: 1.23, 95% CI: 1.19-1.27). A change from the first quartile of PM2.5 (2.5-34.4 µg/m3) to the second quartile (34.5-51.5 µg/m3) of PM2.5 was associated with a two-fold change (OR: 2.06, 95% CI: 1.60-2.66) in the odds of developing ARI. Similarly, comparing the first quartile to the fourth quartile of PM2.5 exposure (78.3-128.9 µg/m3) resulted in an over four-fold increase in the odds of ARI (OR: 4.45, 95% CI: 3.37-5.87). CONCLUSION Mitigation efforts must be continued implementing higher restrictions in India and to bring new interventions to ensure safe levels of air for reducing the burden of disease and mortality associated with air pollution in India.
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Affiliation(s)
- Mihir Adhikary
- Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India.
| | - Piyasa Mal
- Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India
| | - Nandita Saikia
- Department of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India
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Wu TD. Portable Air Purifiers to Mitigate the Harms of Wildfire Smoke for People with Asthma. Am J Respir Crit Care Med 2024; 209:126-128. [PMID: 38047880 PMCID: PMC10806428 DOI: 10.1164/rccm.202311-2012ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 12/01/2023] [Indexed: 12/05/2023] Open
Affiliation(s)
- Tianshi David Wu
- Section of Pulmonary, Critical Care, and Sleep Medicine Baylor College of Medicine Houston, Texas
- Center for Innovations in Quality, Effectiveness, and Safety Michael E. DeBakey Veterans Affairs Medical Center Houston, Texas
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Kono M, Takaishi M, Okuda T, Fujihara M, Noguchi S, Ishihara Y. A simple air-liquid interface exposure system for exposing cultured human 3D epidermis and cornea to PM2.5 collected through cyclonic separation. J Toxicol Sci 2024; 49:61-68. [PMID: 38296530 DOI: 10.2131/jts.49.61] [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] [Indexed: 02/15/2024]
Abstract
Particulate matter (PM) is among the major air pollutants suspended in the atmosphere. PM2.5 has a particle size of 2.5 µm; it is known to cause inflammation, especially in the respiratory tract and skin. Since the skin acts a primary barrier against harmful environmental substances that may enter the body, it is highly exposed to PM2.5 present in the environment. However, the adverse health effects of PM2.5 exposure on human skin have not been accurately examined due to the lack of a system that exposes human epidermal tissue to the actual environmental concentration of PM2.5. In this study, we developed an air-liquid interface exposure system for exposing cultured human 3D epidermis and cornea to PM2.5 collected through cyclonic separation. PM2.5 suspension was nebulized in an acrylic chamber, and the resulting mist was pumped through a diffusion dryer into a glass exposure chamber. A particle counter was connected to the exposure chamber to continuously measure the spatial mass concentration of PM. Human 3D epidermis was cultured in the exposure chamber. Exposure of the human 3D epidermis to PM aerosol increased interleukin-8 release into the media around 50 µg/m3. Mass concentrations above 100 µg/m3 caused cell death. Furthermore, a human corneal model showed similar responses against PM2.5 exposure as 3D epidermis. The air-liquid interface exposure system developed in this study is considered useful for evaluating the health effects induced by environmental PM2.5 and can be used as an alternative to experiments involving actual human or animals.
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Affiliation(s)
- Maori Kono
- Laboratory of Advanced Cosmetic Science, Graduate School of Pharmaceutical Sciences, Osaka University
- Advanced Technology Institute, Mandom Corporation
| | - Masayuki Takaishi
- Laboratory of Advanced Cosmetic Science, Graduate School of Pharmaceutical Sciences, Osaka University
- Advanced Technology Institute, Mandom Corporation
| | | | | | - Seisuke Noguchi
- Manufacturing Division, Technical Center, Hiroshima University
| | - Yasuhiro Ishihara
- Program of Biomedical Science, Graduate School of Integrated Sciences for Life, Hiroshima University
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Feng C, Shao Y, Ye T, Cai C, Yin C, Li X, Liu H, Ma H, Yu B, Qin M, Chen Y, Yang Y, Xu W, Zhu Q, Jia P, Yang S. Associations between long-term exposure to PM 2.5 chemical constituents and allergic diseases: evidence from a large cohort study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166755. [PMID: 37659545 DOI: 10.1016/j.scitotenv.2023.166755] [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: 02/06/2023] [Revised: 08/12/2023] [Accepted: 08/30/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND Exposure to air pollutants may cause immune responses and further allergic diseases, but existing studies have mostly, if not all, focused on effects of short-term exposure to PM2.5 on allergic diseases. OBJECTIVES We estimated associations of long-term exposure to PM2.5 chemical constituents with allergic disease risks and effect modification. METHODS We used the baseline of a newly established, provincially representative cohort of 51,480 participants in southwest China. The presence of allergic rhinitis, allergic asthma, urticaria, and allergic conjunctivitis was self-reported by following a formed questionnaire in face-to-face interviews. The average concentrations of PM2.5 chemical constituents (NO3-, SO42-, NH4+, organic matter [OM], and black carbon [BC]) over participants' residence were estimated using machine learning models. Logistic regression with double robust estimator and weighted quantile sum regression were used to estimate the effects of PM2.5 chemical constituents on allergic disease risks, as well as relative importance of each PM2.5 chemical constituent. RESULTS Per interquartile range increase in the concentration of all PM2.5 chemical constituents was associated with the elevated risks for allergic asthma (OR = 1.79 [1.41-2.26]), allergic conjunctivitis (1.54 [1.19-2.00]), urticaria (1.36 [1.25-1.48]), and allergic rhinitis (1.18 [1.11-1.26]). NO3- contributed more to risks for allergic asthma (weight = 46.05 %), urticaria (72.29 %), and allergic conjunctivitis (47.65 %), while NH4+ contributed more to allergic rhinitis (78.07 %). OM contributed most to the risks for allergic asthma (30.81 %) and allergic conjunctivitis (31.40 %). BC was also associated with allergic rhinitis, urticaria, and allergic conjunctivitis, only with a considerable weight for urticaria (24.59 %). Joint effects of PM2.5 chemical constituents on risks for allergic rhinitis and urticaria were stronger in minorities and farmers than their counterparts. CONCLUSION Long-term exposure to PM2.5 chemical constituents was associated with the increased allergic disease risks, with NO3- and NH4+ accounting for the largest variance of the associations. Our findings would serve as scientific evidence for developing more explicit strategies of air pollution control.
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Affiliation(s)
- Chuanteng Feng
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ying Shao
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Tingting Ye
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Changwei Cai
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chun Yin
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
| | - Xiaobo Li
- Respiratory department, Chengdu Seventh People's Hospital, Chengdu, China
| | - Hongyun Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Hua Ma
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Mingfang Qin
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Yang Chen
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Yongfang Yang
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Wen Xu
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Qiuyan Zhu
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Peng Jia
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China; Hubei Luojia Laboratory, Wuhan, China; School of Public Health, Wuhan University, Wuhan, China.
| | - Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China; Department of Health Management Center, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, China.
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7
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Ding J, Han S, Wang X, Yao Q. Impact of air pollution changes and meteorology on asthma outpatient visits in a megacity in North China Plain. Heliyon 2023; 9:e21803. [PMID: 38027642 PMCID: PMC10651508 DOI: 10.1016/j.heliyon.2023.e21803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 09/08/2023] [Accepted: 10/28/2023] [Indexed: 12/01/2023] Open
Abstract
The effects of air pollution and meteorology on asthma is less studied in North China Plain. In the last decade, air quality in this region is markedly mitigated. This study compared the short-term effects of air pollutants on daily asthma outpatient visits (AOV) within different sex and age groups from 2014 to 2016 and 2017-2019 in Tianjin, with the application of distributed lag nonlinear model. Moreover, relative humidity (RH) and temperature as well as the synergistic impact with air pollutants were assessed. Air pollutants-associated risk with linear (different reference values were used) and non-linear assumptions were compared. In 2014-2016, PM10 and PM2.5 exhibited a larger impact on AOV, with the corresponding cumulative excess risks (ER) for every 10 μg/m3 increase at 1.04 % (95%CI:0.67-1.40 %, similarly hereafter) and 0.79 % (0.35-1.23 %), as well as increased to 43 % (26-63 %) and 20 % (10-31 %) at severe pollution. In 2017-2019, NO2 and MDA8 O3 exhibited a larger impact on AOV, with a cumulative ER for every 10 μg/m3 increase at 1.0 (0.63-1.4 %) and 0.36 % (0.15-0.57 %), with corresponding values of 7.9 % (4.8-11 %) and 5.6 % (2.3-9.0 %), at severe pollution. SO2 associated risk was only significant from 2014 to 2016. Cold effect, including extremely low temperature exposure and sharp temperature drop could generate a pronounced increase in AOV at 9.6 % (3.8-16 %) and 24 % (9.1-41 %), respectively. Moderate low temperature combined with air pollutants can enhance AOV during winter. Higher temperature in spring and autumn could trigger asthma by increasing pollen levels. Low RH resulted in AOV increase by 4.6 % (2.4-6.9), while higher RH generated AOV increase by 3.4 % (1.6-5.3). Females, children, and older adults tended to have a higher risk for air pollution, non-optimum temperature, and RH. As air pollution-associated risks on AOV tends to be weaker due to air quality improvement in recent years, the impact of extreme meteorological condition amidst climate change on asthma visits warrants further attention.
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Affiliation(s)
- Jing Ding
- Tianjin Environmental Meteorological Center, Tianjin 300070, China
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300070, China
| | - Suqin Han
- Tianjin Environmental Meteorological Center, Tianjin 300070, China
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300070, China
| | - Xiaojia Wang
- Tianjin Environmental Meteorological Center, Tianjin 300070, China
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300070, China
| | - Qing Yao
- Tianjin Environmental Meteorological Center, Tianjin 300070, China
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300070, China
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Zheng Y, He Y, Kang N, Zhang C, Liao W, Yuchi Y, Liu X, Hou J, Mao Z, Huo W, Zhang K, Tian H, Lin H, Wang C. Associations of Long-Term Exposure to PM 2.5 and Its Constituents with Erythrocytosis and Thrombocytosis in Rural Populations. TOXICS 2023; 11:885. [PMID: 37999537 PMCID: PMC10674504 DOI: 10.3390/toxics11110885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/21/2023] [Accepted: 10/24/2023] [Indexed: 11/25/2023]
Abstract
Evidence on the effect of long-term exposure to fine particulate matter (PM2.5) on erythrocytosis and thrombocytosis prevalence was limited. We aimed to investigate the association of PM2.5 and its constituents with the risks of erythrocytosis and thrombocytosis. The present study included a total of 33,585 participants from the Henan Rural Cohort at baseline between 2015 and 2017. A hybrid satellite-based model was employed to estimate the concentrations of PM2.5 mass and its constituents (including black carbon [BC], nitrate [NO3-], ammonium [NH4+], inorganic sulfate [SO42-], organic matter [OM], and soil particles [SOIL]). The logistic regression model was used to assess the associations of single exposure to PM2.5 and its constituents with the risks of erythrocytosis and thrombocytosis, and the quantile G-computation method was applied to evaluate their joint exposure risk. For the independent association, the odds ratios for erythrocytosis/thrombocytosis with 1 μg/m3 increase was 1.049/1.043 for PM2.5 mass, 1.596/1.610 for BC, 1.410/1.231 for NH4+, 1.205/1.139 for NO3-, 1.221/1.359 for OM, 1.300/1.143 for SO42-, and 1.197/1.313 for SOIL. Joint exposure to PM2.5 and its components was also positively associated with erythrocytosis and thrombocytosis. The estimated weight of NH4+ was found to be the largest for erythrocytosis, while OM had the largest weight for thrombocytosis. PM2.5 mass and its constituents were positively linked to prevalent erythrocytosis and thrombocytosis, both in single-exposure and joint-exposure models. Additionally, NH4+/OM was identified as a potentially responsible component for the association between PM2.5 and erythrocytosis/thrombocytosis.
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Affiliation(s)
- Yiquan Zheng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yaling He
- Department of Occupational and Environmental Health, Ministry of Education, Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Caiyun Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yinghao Yuchi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY 12222, USA
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Hualiang Lin
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
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Christian WJ, Flunker J, May B, Westneat S, Sanderson WT, Schoenberg N, Browning SR. Adult asthma associated with roadway density and housing in rural Appalachia: the Mountain Air Project (MAP). Environ Health 2023; 22:28. [PMID: 36967398 PMCID: PMC10041800 DOI: 10.1186/s12940-023-00984-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 03/15/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Appalachian Kentucky is a rural area with a high prevalence of asthma among adults. The relative contribution of environmental exposures in the etiology of adult asthma in these populations has been understudied. OBJECTIVE This manuscript describes the aims, study design, methods, and characteristics of participants for the Mountain Air Project (MAP), and focuses on associations between small area environmental exposures, including roadways and mining operations, and lifetime and current asthma in adults. METHODS A cohort of residents, aged 21 and older, in two Kentucky counties, was enrolled in a community-based, cross-sectional study. Stratified cluster sampling was used to select small geographic areas denoted as 14-digit USGS hydrologic units (HUCs). Households were enumerated within selected HUCs. Community health workers collected in-person interviews. The proximity of nearby active and inactive coal mining operations, density of oil and gas operations, and density of roadways were characterized for all HUCs. Poisson regression analyses were used to estimate adjusted prevalence ratios. RESULTS From 1,459 eligible households contacted, 1,190 individuals were recruited, and 972 persons completed the interviews. The prevalence of lifetime asthma was 22.8%; current asthma was 16.3%. Adjusting for covariates, roadway density was positively associated with current asthma in the second (aPR = 1.61; 95% CI 1.04-2.48) and third tertiles (aPR = 2.00; 95% CI 1.32-3.03). Increased risk of current asthma was associated with residence in public, multi-unit housing (aPR = 2.01; 95% CI 1.27-3.18) compared to a residence in a single-family home. There were no notable associations between proximity to coal mining and oil and gas operations and asthma prevalence. CONCLUSIONS This study suggests that residents in rural areas with higher roadway density and those residing in public housing units may be at increased risk for current asthma after accounting for other known risk factors. Confirming the role of traffic-related particulates in producing high asthma risk among adults in this study contributes to the understanding of the multiple environmental exposures that influence respiratory health in the Appalachia region.
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Affiliation(s)
- W Jay Christian
- Department of Epidemiology and Environmental Health, College of Public Health, The University of Kentucky, 111 Washington Ave, Lexington, KY, 40536, USA
| | - John Flunker
- Department of Epidemiology and Environmental Health, College of Public Health, The University of Kentucky, 111 Washington Ave, Lexington, KY, 40536, USA
| | - Beverly May
- Department of Epidemiology and Environmental Health, College of Public Health, The University of Kentucky, 111 Washington Ave, Lexington, KY, 40536, USA
| | - Susan Westneat
- Department of Epidemiology and Environmental Health, College of Public Health, The University of Kentucky, 111 Washington Ave, Lexington, KY, 40536, USA
| | - Wayne T Sanderson
- Department of Biosystems and Agricultural Engineering, College of Agriculture, Food, and Environment, University of Kentucky, Lexington, KY, USA
| | - Nancy Schoenberg
- Behavioral Science, College of Medicine, University of Kentucky, Lexington, KY, USA
| | - Steven R Browning
- Department of Epidemiology and Environmental Health, College of Public Health, The University of Kentucky, 111 Washington Ave, Lexington, KY, 40536, USA.
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Virolainen SJ, VonHandorf A, Viel KCMF, Weirauch MT, Kottyan LC. Gene-environment interactions and their impact on human health. Genes Immun 2023; 24:1-11. [PMID: 36585519 PMCID: PMC9801363 DOI: 10.1038/s41435-022-00192-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/09/2022] [Accepted: 12/13/2022] [Indexed: 12/31/2022]
Abstract
The molecular processes underlying human health and disease are highly complex. Often, genetic and environmental factors contribute to a given disease or phenotype in a non-additive manner, yielding a gene-environment (G × E) interaction. In this work, we broadly review current knowledge on the impact of gene-environment interactions on human health. We first explain the independent impact of genetic variation and the environment. We next detail well-established G × E interactions that impact human health involving environmental toxicants, pollution, viruses, and sex chromosome composition. We conclude with possibilities and challenges for studying G × E interactions.
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Affiliation(s)
- Samuel J Virolainen
- Division of Human Genetics, Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA
- Immunology Graduate Program, University of Cincinnati College of Medicine, 3230 Eden Ave, Cincinnati, OH, 45229, USA
| | - Andrew VonHandorf
- Division of Human Genetics, Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA
| | - Kenyatta C M F Viel
- Division of Human Genetics, Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA
| | - Matthew T Weirauch
- Division of Human Genetics, Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA.
- Immunology Graduate Program, University of Cincinnati College of Medicine, 3230 Eden Ave, Cincinnati, OH, 45229, USA.
- Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Ave, Cincinnati, OH, 45229, USA.
| | - Leah C Kottyan
- Division of Human Genetics, Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA.
- Immunology Graduate Program, University of Cincinnati College of Medicine, 3230 Eden Ave, Cincinnati, OH, 45229, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Ave, Cincinnati, OH, 45229, USA.
- Division of Allergy and Immunology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., MLC 15012, Cincinnati, OH, 45229, USA.
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11
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Zheng J, Yue L, Wang B, Li Y, Zhang L, Xue B, Tian X, Lei R, Luo B. Seasonal characteristics of ambient temperature variation (DTR, TCN, and TV 0-t) and air pollutants on childhood asthma attack in a dry and cold city in China. ENVIRONMENTAL RESEARCH 2023; 217:114872. [PMID: 36435499 DOI: 10.1016/j.envres.2022.114872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 11/16/2022] [Accepted: 11/20/2022] [Indexed: 06/16/2023]
Abstract
Very few researches have concentrated on a variety of time scales to evaluate the association between temperature variation (TV) and childhood asthma (CA), and the evidence for the interaction of air pollutants on this association is lacking. In this study, we aim to estimate the relative risks (RRs) of CA due to TV by following metrics: diurnal temperature range (DTR), temperature changes between neighboring days (TCN), and temperature variability (TV0-t); to quantify the seasonal attributable fraction (AF) and number (AN) of CA due to TV; to examine the interactive effects of the TV and air pollutants on CA in different seasons. We mainly applied distributed lagged nonlinear model (DLNM) and conditional Poisson models to evaluate the associations between TV and outpatient visits for CA during 2014-2019 in Lanzhou, China. Additionally, the bivariate response surface model was used to examine the interplay effect of air pollutants. We found that in warm season, the risks of DTR maximum at lag5 (RR = 1.073, 95% CI: 1.017-1.133); TCN showed protective effect. In cold season, the risks of DTR peaked at lag8 (RR = 1.063, 95% CI: 1.027-1.100); the risks of TCN maximum at lag0 (RR = 1.058 95% CI: 1.009-1.109); the estimation of total cases maximized at TV0-4 in cold season (RR = 1.039 at TV0-3, 95% CI: 1.001, 1.077) and was the lowest at TV0-1 in warm season (RR = 0.999, 95% CI: 0.969, 1.030). In addition, the response surface model graphically pictured ambient air pollutants enhanced the DTR/TV0-4-CA effect for girls. In conclusion, the RRs of CA are markedly increased by TV exposure, particularly during the colder months. A combined evaluation of DTR, TCN, TV0-5∼TV0-6, NO2, SO2, and PM2.5 should be used to identify the adverse effects of TV on CA.
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Affiliation(s)
- Jie Zheng
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, PR China
| | - Li Yue
- Department of Child Healthcare of Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, Gansu, 730030, PR China
| | - Bo Wang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, PR China
| | - Yanlin Li
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, PR China
| | - Ling Zhang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, PR China
| | - Baode Xue
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, PR China
| | - Xiaoyu Tian
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, PR China
| | - Ruoyi Lei
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, PR China
| | - Bin Luo
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, PR China.
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12
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Lu X, Gong C, Lv K, Zheng L, Li B, Zhao Y, Lu H, Wei T, Huang J, Li R. Impacts of combined exposure to formaldehyde and PM 2.5 at ambient concentrations on airway inflammation in mice. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 315:120234. [PMID: 36195197 DOI: 10.1016/j.envpol.2022.120234] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 09/16/2022] [Accepted: 09/17/2022] [Indexed: 06/16/2023]
Abstract
Asthma is a respiratory disease that can be exacerbated by certain environmental factors. Both formaldehyde (FA) and PM2.5, the most common indoor and outdoor air pollutants in mainland China, are closely associated with the onset and development of asthma. To date, however, there is very little report available on whether there is an exacerbating effect of combined exposure to FA and PM2.5 at ambient concentrations. In this study, asthmatic mice were exposed to 1 mg/m3 FA, 1 mg/kg PM2.5, or a combination of 0.5 mg/m3 FA and 0.5 mg/kg PM2.5, respectively. Results demonstrated that both levels of oxidative stress and inflammation were significantly increased, accompanied by an obvious decline in lung function. Further, the initial activation of p38 MAPK and NF-κB that intensified the immune imbalance of asthmatic mice were found to be visibly mitigated following the administration of SB203580, a p38 MAPK inhibitor. Noteworthily, it was found that combined exposure to the two at ambient concentrations could significantly worsen asthma than exposure to each of the two alone at twice the ambient concentration. This suggests that combined exposure to formaldehyde and PM2.5 at ambient concentrations may have a synergistic effect, thus causing more severe damage in asthmatic mice. In general, this work has revealed that the combined exposure to FA and PM2.5 at ambient concentrations can synergistically aggravate asthma via the p38 MAPK pathway in mice.
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Affiliation(s)
- Xianxian Lu
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China; Department of Materials and Architectural Engineering, Hebei Institute of Mechanical and Electrical Technology, Xingtai, 054002, China
| | - Cunyi Gong
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Ke Lv
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Lifang Zheng
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Beibei Li
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Yuanteng Zhao
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Haonan Lu
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Tingting Wei
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Jiawei Huang
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Rui Li
- Hubei Key Laboratory of Genetic Regulation and Integrative Biology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China.
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13
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Sun S, Wang J, Cao W, Wu L, Tian Y, Sun F, Zhang Z, Ge Y, Du J, Li X, Chen R. A nationwide study of maternal exposure to ambient ozone and term birth weight in the United States. ENVIRONMENT INTERNATIONAL 2022; 170:107554. [PMID: 36202016 DOI: 10.1016/j.envint.2022.107554] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 09/03/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Maternal exposure to ozone (O3) may cause systemic inflammation and oxidative stress and contribute to fetal growth restriction. We sought to estimate the association between maternal exposure to O3 and term birth weight and term small for gestational age (SGA) in the United States (US). METHODS We conducted a nationwide study including 2,179,040 live term singleton births that occurred across 453 populous counties in the contiguous US in 2002. Daily county-level concentrations of O3 data were estimated using a Bayesian fusion model. We used linear regression to estimate the association between O3 exposure and term birth weight and logistic regression to estimate the association between O3 exposure and term SGA during each trimester of the pregnancy and the entire pregnancy after adjusting for maternal characteristics, infant sex, season of conception, ambient temperature, county poverty rate, and census region. We additionally used distributed lag models to identify the critical exposure windows by estimating the monthly and weekly associations. RESULTS A 10 parts per billion (ppb) increase in O3 over the entire pregnancy was associated with a lower term birth weight (-7.6 g; 95 % CI: -8.8 g, -6.4 g) and increased risk of SGA (odds ratio = 1.030; 95 % CI: 1.020, 1.040). The identified critical exposure windows were the 13th- 25th and 32nd -37th gestational weeks for term birth weight and 13th- 25th for term SGA. We found the association was more pronounced among mothers who were non-Hispanic Black, unmarried, or had lower education level. CONCLUSIONS Among US singleton term births, maternal exposure to O3 was associated with lower rates of fetal growth, and the 13th- 25th gestational weeks were the identified critical exposure windows.
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Affiliation(s)
- Shengzhi Sun
- School of Public Health, Capital Medical University, Beijing 100069, China.
| | - Jiajia Wang
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Wangnan Cao
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing 100191, China.
| | - Lizhi Wu
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Bin Sheng Road Binjiang District, Hangzhou 310051, China
| | - Yu Tian
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Feng Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Zhenyu Zhang
- Department of Global Health, Peking University School of Public Health, Beijing 100191, China
| | - Yang Ge
- School of Health Professions, University of Southern Mississippi, Hattiesburg 39406, MS, USA
| | - Jianqiang Du
- The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China
| | - Xiaobo Li
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Rui Chen
- School of Public Health, Capital Medical University, Beijing 100069, China
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14
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Mu G, Wang B, Cheng M, Nie X, Ye Z, Zhou M, Zhou Y, Chen W. Long-term personal PM 2.5 exposure and lung function alternation: A longitudinal study in Wuhan urban adults. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 845:157327. [PMID: 35839886 DOI: 10.1016/j.scitotenv.2022.157327] [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: 02/28/2022] [Revised: 07/05/2022] [Accepted: 07/09/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND The effect of long-term PM2.5 exposure on lung function has not been well established. OBJECTIVES To investigate the effects of long-term personal PM2.5 exposure on lung function decline, obstructive, and restrictive ventilatory disorders. METHOD Personal PM2.5 concentrations were evaluated using an estimation model. Lung function parameters including forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1) and peak expiratory flow (PEF) were measured in 3053 Wuhan participants from the Wuhan-Zhuhai cohort and were repeated every 3 years. Participants were classified into persistently high exposure group, persistently low exposure group and inconsistent exposure group according to the median of PM2.5 concentration of each visit. Mixed linear models with subject-specific random intercept were used to assess the association of 3-year change of lung function with personal PM2.5 exposure, and generalized linear models were used to assess the association of 6-year change of lung function with personal PM2.5 exposure. Cox regression models were applied to assess the associations of PM2.5 with obstructive and restrictive ventilatory disorders. RESULTS The medians of personal PM2.5 concentrations at baseline and two follow-ups were 153.18, 209.57 and 83.78 μg/m3, respectively. Compared with participants in the persistently low exposure group, participants in the persistently high exposure group showed a 2.99 % (95 % CI: 0.91, 5.08), a 380.15 mL/s (95 % CI: 32.82, 727.48) and a 5.98 % (95 % CI: 0.84, 11.11) additional decline in FEV1/FVC, PEF and PEFpred after 6 years, respectively. Stratified analyses showed that age, gender, body mass index, smoking status and drinking status had no significant modification effect on the associations. The associations of PM2.5 exposure with obstructive and restrictive ventilatory disorders were not significant, except for a positive association between persistently high PM2.5 exposure and restrictive ventilatory disorder among ever drinkers. CONCLUSION Long-term high PM2.5 exposure was associated with FEV1/FVC, PEF and PEFpred declines.
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Affiliation(s)
- Ge Mu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Data Center, Medical Affairs Department, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Bin Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Man Cheng
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xiuquan Nie
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Zi Ye
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Min Zhou
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yun Zhou
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
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15
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Zhou Y, Pan J, Xu R, Lu W, Wang Y, Liu T, Fan Z, Li Y, Shi C, Zhang L, Liu Y, Sun H. Asthma mortality attributable to ambient temperatures: A case-crossover study in China. ENVIRONMENTAL RESEARCH 2022; 214:114116. [PMID: 35988831 DOI: 10.1016/j.envres.2022.114116] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 08/08/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Whether ambient temperature exposure contributes to death from asthma remains unknown to date. We therefore conducted a case-crossover study in China to quantitatively evaluate the association and burden of ambient temperature exposure on asthma mortality. METHODS Using data from the National Mortality Surveillance System in China, we conducted a time-stratified case-crossover study of 15 888 individuals who lived in Hubei and Jiangsu province, China and died from asthma as the underlying cause in 2015-2019. Individual-level exposures to air temperature and apparent temperature on the date of death and 21 days prior were assessed based on each subject's residential address. Distributed lag nonlinear models based on conditional logistic regression were used to quantify exposure-response associations and calculate fraction and number of deaths attributable to non-optimum ambient temperatures. RESULTS We observed a reverse J-shaped association between air temperature and risk of asthma mortality, with a minimum mortality temperature of 21.3 °C. Non-optimum ambient temperature is responsible for substantial excess mortality from asthma. In total, 26.3% of asthma mortality were attributable to non-optimum temperatures, with moderate cold, moderate hot, extreme cold and extreme hot responsible for 21.7%, 2.4%, 2.1% and 0.9% of asthma mortality, respectively. The total attributable fraction and number was significantly higher among adults aged less than 80 years in hot temperature. CONCLUSIONS Exposure to non-optimum ambient temperature, especially moderate cold temperature, was responsible for substantial excess mortality from asthma. These findings have important implications for planning of public-health interventions to minimize the adverse respiratory damage from non-optimum ambient temperature.
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Affiliation(s)
- Yun Zhou
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Jingju Pan
- Institute of Chronic Noncommunicable Disease Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wenfeng Lu
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Yaqi Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Tingting Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhaoyu Fan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yingxin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chunxiang Shi
- National Meteorological Information Center, Beijing, China
| | - Lan Zhang
- Institute of Chronic Noncommunicable Disease Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| | - Hong Sun
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
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16
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Connor EM, Zablotsky B. The association between air pollution and childhood asthma: United States, 2010-2015. J Asthma 2022; 59:2069-2080. [PMID: 34587862 PMCID: PMC9148369 DOI: 10.1080/02770903.2021.1988105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 09/25/2021] [Accepted: 09/26/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The current population-based study examines the association between county-level ambient air pollution and childhood asthma. METHODS Data from the nationally representative 2010-2015 National Health Interview Survey were linked to nationwide fine particulate matter (PM2.5) air pollution data at the county-level from the National Environmental Public Health Tracking Network which utilizes air quality monitoring stations and modeled PM2.5 measurements (Downscaler model data) and adjusted by county-level socioeconomic characteristics data from the 2010-2015 American Community Survey. Multilevel modeling techniques were used to assess the association between PM2.5 annual concentrations (quartiles < 8.11, 8.11-9.50, 9.51-10.59, ≥ 10.60 µg/m3) and current childhood asthma along with two asthma outcomes (episode in the past year, emergency room (ER) visit due to asthma). RESULTS From 2010 to 2015, there were significant declines in PM2.5 concentrations and asthma outcomes. In unadjusted models, children living in areas with higher PM2.5 concentrations were more likely to have current asthma, ≥1 asthma episode in the past year, and ≥1 ER visit due to asthma compared with children living in areas with the lowest quartile (< 8.11 µg/m3). After adjusting for characteristics at the county, geographic, and child and family-level, significant associations remained for asthma episode, and ER visit among children living in areas with PM2.5 annual concentrations between 9.51 and 10.59 µg/m3 (3rd quartile) compared with children living in areas with the lowest quartile. CONCLUSIONS This study adds to the limited literature by incorporating nationally representative county-, child-, and family-level data to provide a multi-level analysis of the associations between air pollution and childhood asthma in the U.S.
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Affiliation(s)
- Eric M Connor
- National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA
| | - Benjamin Zablotsky
- National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA
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Sundram TKM, Tan ESS, Cheah SC, Lim HS, Seghayat MS, Bustami NA, Tan CK. Impacts of particulate matter (PM 2.5) on the health status of outdoor workers: observational evidence from Malaysia. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:71064-71074. [PMID: 35595900 DOI: 10.1007/s11356-022-20955-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
Ambient air pollution is a significant contributor to disease burden, leading to an estimated 4.2 million premature deaths and 103.1 million disability-adjusted life years (DALYs) annually worldwide. As industrialization and urbanization surge in Asia, air pollution and its corresponding health issues follow suit. Findings on disease burden in developing countries are extremely scanty. This study aimed to determine the concentration of PM2.5 and its impact on respiratory health of outdoor workers in Malaysia. A 2-cycled 3-month cohort study involving 440 participants was conducted. Workers' health status was assessed via (1) Total Ocular Symptom Score (TOSS), (2) Total Nasal Symptom Score (TNSS), (3) St. George's Respiratory Questionnaire (SGPQ), and (4) Asthma Control Test (ACT). The maximum PM2.5 concentration was measured at 122.90 ± 2.07 µg/m3 during third week of August 2016. Meanwhile, the minimum concentration was measured at 57.47 ± 3.80 µg/m3 and 57.47 ± 1.64 µg/m3 during fourth week of July 2016 and first week of August 2017 respectively. Findings revealed that TOSS, TNSS, and SGPQ changes were significantly (p < 0.05) associated with the concentration of PM2.5. Outdoor workers were more significantly (p < 0.05) affected by changes in PM2.5 compared to indoor workers with a moderate correlation (r value ranged from 0.4 to 0.7). Ironically, no significant association was found between ACT assessment and PM2.5. Collectively, our findings suggested that changes in the concentration of PM2.5 threatened the respiratory health of outdoor workers. The existing policy should be strengthened and preventive measures to be enforced safeguarding health status of outdoor workers.
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Affiliation(s)
| | - Eugenie Sin Sing Tan
- Faculty of Medicine and Health Sciences, UCSI University, 56000, Kuala Lumpur, Malaysia
| | - Shiau Chuen Cheah
- Faculty of Medicine and Health Sciences, UCSI University, 56000, Kuala Lumpur, Malaysia
| | - Hwee San Lim
- School of Physics, Universiti Sains Malaysia, 11800, Pulau Pinang, Gelugor, Malaysia
| | - Marjan Sadat Seghayat
- Faculty of Medicine, MAHSA University, Bioscience & Nursing, 42610, Jenjarom, Selangor, Malaysia
| | - Normina Ahmad Bustami
- Faculty of Medicine and Health Sciences, UCSI University, 56000, Kuala Lumpur, Malaysia
| | - Chung Keat Tan
- Faculty of Medicine and Health Sciences, UCSI University, 56000, Kuala Lumpur, Malaysia.
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18
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Leung T, Cramer E, Grande M, Huntington-Moskos L, Krueger K, Bimbi O, Polivka B, Eldeirawi K. Utilizing Real-time Technology to Assess the Impact of Home Environmental Exposures on Asthma Symptoms: Protocol for an Observational Pilot Study. JMIR Res Protoc 2022; 11:e39887. [PMID: 35916686 PMCID: PMC9382544 DOI: 10.2196/39887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 06/16/2022] [Accepted: 06/24/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND It is estimated that over 60% of adults with asthma have uncontrolled symptoms, representing a substantial health and economic impact. The effects of the home environment and exposure to volatile organic compounds (VOCs) and fine particulate matter (PM2.5) on adults with asthma remain unknown. In addition, methods currently used to assess the home environment do not capture real-time data on potentially modifiable environmental exposures or their effect on asthma symptoms. OBJECTIVE The aims of this study are to (1) determine the feasibility and usability of ecological momentary assessment (EMA) to assess self-report residential environmental exposures and asthma symptoms, home monitoring of objective environmental exposures (total VOCs and PM2.5), and lung function in terms of forced expiratory volume in 1 second (FEV1%); (2) assess the frequency and level of residential environmental exposures (eg, disinfectants/cleaners, secondhand smoke) via self-reported data and home monitoring objective measures; (3) assess the level of asthma control as indicated by self-reported asthma symptoms and lung function; and (4) explore associations of self-reported and objective measures of residential environmental exposures with self-reported and objective measures of asthma control. METHODS We will recruit 50 adults with asthma who have completed our online Global COVID-19 Asthma Study, indicated willingness to be contacted for future studies, reported high use of disinfectant/cleaning products, and have asthma that is not well controlled. Participants will receive an indoor air quality monitor and a home spirometer to measure VOCs, PM2.5, and FEV1%, respectively. EMA data will be collected using a personal smartphone and EMA software platform. Participants will be sent scheduled and random EMA notifications to assess asthma symptoms, environmental exposures, lung function, and mitigation strategies. After the 14-day data collection period, participants will respond to survey items related to acceptability, appropriateness, and feasibility. RESULTS This study was funded in March 2021. We pilot tested our procedures and began recruitment in April 2022. The anticipated completion of the study is 2023. CONCLUSIONS Findings from this feasibility study will support a powered study to address the impact of home environmental exposures on asthma symptoms and develop tailored, home-based asthma interventions that are responsive to the changing home environment and home routines. TRIAL REGISTRATION ClinicalTrials.gov NCT05224076; https://clinicaltrials.gov/ct2/show/NCT05224076. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/39887.
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Affiliation(s)
| | - Emily Cramer
- Biostatistics & Epidemiology Core, Health Services & Outcomes Research, Children's Mercy Research Institute, Kansas City, MO, United States.,School of Medicine, University of Missouri-Kansas City, Kansas City, IL, United States
| | - Matthew Grande
- College of Medicine, University of Illinois Chicago, Chicago, IL, United States
| | | | - Kathryn Krueger
- School of Nursing, University of Kansas, Kansas City, KS, United States
| | - Olivia Bimbi
- College of Nursing, University of Illinois Chicago, Chicago, IL, United States
| | - Barbara Polivka
- School of Nursing, University of Kansas, Kansas City, KS, United States
| | - Kamal Eldeirawi
- College of Nursing, University of Illinois Chicago, Chicago, IL, United States
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Mullen C, Flores A, Grineski S, Collins T. Exploring the distributional environmental justice implications of an air quality monitoring network in Los Angeles County. ENVIRONMENTAL RESEARCH 2022; 206:112612. [PMID: 34953883 DOI: 10.1016/j.envres.2021.112612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 12/03/2021] [Accepted: 12/20/2021] [Indexed: 06/14/2023]
Abstract
Non-governmental air quality monitoring networks include low-cost, networked air pollution sensors hosted at homes and schools that display real-time pollutant concentration estimates on publicly accessible websites. Such networks can empower people to take health-protective actions, but their unplanned organization may produce an uneven spatial distribution of sensors. Barriers to acquiring sensors may disenfranchise particular social groups. To test this directly, we quantitatively examine if there are social inequalities in the distribution of sensors in a non-governmental air quality monitoring network (PurpleAir) in Los Angeles County, California. We paired sociodemographic data from the American Community Survey and estimates of PM2.5 concentrations from the USEPA's Downscaler model at the census tract level (n = 2203) with a sensors per capita (SPC) variable, which is based on population proximity to PurpleAir sensors (n = 696) in Los Angeles County. Findings from multivariable generalized estimating equations (GEEs) controlling for clustering by housing age and value reveal patterns of environmental injustice in the distribution of PurpleAir sensors across Los Angeles County census tracts. Tracts with higher percentages of Hispanic/Latino/a and Black residents and lower median household income had decreased SPC. There was a curvilinear (concave) relationship between the percentage of renter-occupants and SPC. Sensors were concentrated in tracts with greater percentages of adults and seniors (vs. children), higher occupied housing density, and higher PM2.5 pollution. Results reveal social inequalities in the self-organizing PurpleAir network, suggesting another layer of environmental injustice such that residents of low-income and minority neighborhoods have reduced access to information about local air pollution.
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Affiliation(s)
- Casey Mullen
- Department of Sociology, University of Utah, 380 S 1530 E, Rm. 301, Salt Lake City, UT, 84112, United States.
| | - Aaron Flores
- Department of Geography, University of Utah, 260 Central Campus Dr., Rm. 4625, Salt Lake City, UT, 84112, United States
| | - Sara Grineski
- Department of Sociology, University of Utah, 380 S 1530 E, Rm. 301, Salt Lake City, UT, 84112, United States
| | - Timothy Collins
- Department of Geography, University of Utah, 260 Central Campus Dr., Rm. 4625, Salt Lake City, UT, 84112, United States
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Fecho K, Ahalt SC, Appold S, Arunachalam S, Pfaff E, Stillwell L, Valencia A, Xu H, Peden DB. Development and Application of an Open Tool for Sharing and Analyzing Integrated Clinical and Environmental Exposures Data: Asthma Use Case. JMIR Form Res 2022; 6:e32357. [PMID: 35363149 PMCID: PMC9015759 DOI: 10.2196/32357] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 12/21/2021] [Accepted: 12/22/2021] [Indexed: 11/25/2022] Open
Abstract
Background The Integrated Clinical and Environmental Exposures Service (ICEES) serves as an open-source, disease-agnostic, regulatory-compliant framework and approach for openly exposing and exploring clinical data that have been integrated at the patient level with a variety of environmental exposures data. ICEES is equipped with tools to support basic statistical exploration of the integrated data in a completely open manner. Objective This study aims to further develop and apply ICEES as a novel tool for openly exposing and exploring integrated clinical and environmental data. We focus on an asthma use case. Methods We queried the ICEES open application programming interface (OpenAPI) using a functionality that supports chi-square tests between feature variables and a primary outcome measure, with a Bonferroni correction for multiple comparisons (α=.001). We focused on 2 primary outcomes that are indicative of asthma exacerbations: annual emergency department (ED) or inpatient visits for respiratory issues; and annual prescriptions for prednisone. Results Of the 157,410 patients within the asthma cohort, 26,332 (16.73%) had 1 or more annual ED or inpatient visits for respiratory issues, and 17,056 (10.84%) had 1 or more annual prescriptions for prednisone. We found that close proximity to a major roadway or highway, exposure to high levels of particulate matter ≤2.5 μm (PM2.5) or ozone, female sex, Caucasian race, low residential density, lack of health insurance, and low household income were significantly associated with asthma exacerbations (P<.001). Asthma exacerbations did not vary by rural versus urban residence. Moreover, the results were largely consistent across outcome measures. Conclusions Our results demonstrate that the open-source ICEES can be used to replicate and extend published findings on factors that influence asthma exacerbations. As a disease-agnostic, open-source approach for integrating, exposing, and exploring patient-level clinical and environmental exposures data, we believe that ICEES will have broad adoption by other institutions and application in environmental health and other biomedical fields.
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Affiliation(s)
- Karamarie Fecho
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Stanley C Ahalt
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Stephen Appold
- Kenan-Flagler Business School, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Saravanan Arunachalam
- Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Emily Pfaff
- North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Lisa Stillwell
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Alejandro Valencia
- Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Hao Xu
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - David B Peden
- North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Division of Allergy & Immunology, Department of Pediatrics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Center for Environmental Medicine, Asthma and Lung Biology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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Spatial Estimation of PM2.5 Exposure and its Association with Asthma Exacerbation: A Prospective Study in Thai Children. Ann Glob Health 2022; 88:15. [PMID: 35433288 PMCID: PMC8916056 DOI: 10.5334/aogh.3513] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background: The acceptable fine particulate matter (PM2.5) level in Thailand is double the recommendation of the World Health Organization. It is necessary to have an accurate measure of PM2.5 exposure and its association with health problems in vulnerable groups such as asthma exacerbation in Thai children to urge the Clean Air Act in Thailand, which is currently in the process of revision. Objective: To study the association between PM2.5 exposure and asthma exacerbation in children living in Bangkok Metropolitan Region and Chiang Mai Province. Methods: A pilot prospective observational study was conducted at the Chest and Allergy clinic at Ramathibodi Hospital, Mahidol University, Bangkok and at the Chest Clinic at Nakornping Hospital, Chiang Mai, Thailand, from June 2020 to February 2021. Children with asthma, aged 5–18 years old, were recruited. Respiratory symptoms, including cough, chest tightness, dyspnea or wheezing, peak expiratory flow rate, and asthma exacerbation, were recorded twice daily by caregivers. Estimated average daily PM2.5 exposure levels were calculated using ArcGIS® at exacerbation day, three days before exacerbation (lag day 3), and 7 days before exacerbation (lag day 7). Regression analysis was applied to examine the association between PM2.5 exposure and asthma exacerbation. Findings: Seventy asthmatic patients were enrolled. The median age was 9.7 (IQR 5–18) years old. There were 53 respiratory symptoms, 5 admissions, and 1 intensive care unit admission. Daily PM2.5 levels above 12 mcg/m3 (the US cut-off level for the sensitive group) has higher sensitivity to detect asthma exacerbation compared to Thai cut-off level for the sensitive group (37 mcg/m3) (sensitivity 98.2% vs 32.1%). The average daily PM2.5 level exposure at lag day 3 in the exacerbation vs the non-exacerbation group was 27.5 and 13.6 mcg/m3 (p < 0.01), respectively. The daily PM2.5 level at lag day 3 was also correlated with an acute asthmatic attack (r = 0.62, p < 0.01) with the 0.2 events increasing of asthmatic exacerbation every 10 mcg/m3 of increment of daily PM2.5 level. Conclusions: Our findings suggest that asthmatic children are sensitive to daily PM2.5 levels above 12 mcg/m3. Exposure to high daily PM2.5 levels can lead to asthma exacerbation within three days. Further participant recruitment is needed to emphasize this association and establish the national data.
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22
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Meeker JR, Burris H, Boland MR. An algorithm to identify residential mobility from electronic health-record data. Int J Epidemiol 2022; 50:2048-2057. [PMID: 34999887 DOI: 10.1093/ije/dyab064] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 03/09/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Environmental, social and economic exposures can be inferred from address information recorded in an electronic health record. However, these data often contain administrative errors and misspellings. These issues make it challenging to determine whether a patient has moved, which is integral for accurate exposure assessment. We aim to develop an algorithm to identify residential mobility events and avoid exposure misclassification. METHODS At Penn Medicine, we obtained a cohort of 12 147 pregnant patients who delivered between 2013 and 2017. From this cohort, we identified 9959 pregnant patients with address information at both time of delivery and one year prior. We developed an algorithm entitled REMAP (Relocation Event Moving Algorithm for Patients) to identify residential mobility during pregnancy and compared it to using ZIP code differences alone. We assigned an area-deprivation exposure score to each address and assessed how residential mobility changed the deprivation scores. RESULTS To assess the accuracy of our REMAP algorithm, we manually reviewed 3362 addresses and found that REMAP was 95.7% accurate. In this large urban cohort, 41% of patients moved during pregnancy. REMAP outperformed the comparison of ZIP codes alone (82.9%). If residential mobility had not been taken into account, absolute area deprivation would have misclassified 39% of the patients. When setting a threshold of one quartile for misclassification, 24.4% of patients would have been misclassified. CONCLUSIONS Our study tackles an important characterization problem for exposures that are assigned based upon residential addresses. We demonstrate that methods using ZIP code alone are not adequate. REMAP allows address information from electronic health records to be used for accurate exposure assessment and the determination of residential mobility, giving researchers and policy makers more reliable information.
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Affiliation(s)
- Jessica R Meeker
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Heather Burris
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Divsion of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Center for Excellence in Environmental Toxicology, University of Pennsylvania, Philadelphia, PA, USA
| | - Mary Regina Boland
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Excellence in Environmental Toxicology, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
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Lei J, Yang T, Huang S, Li H, Zhu Y, Gao Y, Jiang Y, Wang W, Liu C, Kan H, Chen R. Hourly concentrations of fine and coarse particulate matter and dynamic pulmonary function measurements among 4992 adult asthmatic patients in 25 Chinese cities. ENVIRONMENT INTERNATIONAL 2022; 158:106942. [PMID: 34689038 DOI: 10.1016/j.envint.2021.106942] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 10/12/2021] [Accepted: 10/13/2021] [Indexed: 06/13/2023]
Abstract
The short-term associations of fine particulate matter (PM2.5) and coarse particulate matter (PM2.5-10) with pulmonary function were inconsistent and rarely evaluated by dynamic measurements. Our study aimed to investigate the associations of PM2.5 and PM2.5-10 with real-time pulmonary function. We conducted a longitudinal study based on dynamic pulmonary function measurements among adult asthmatic patients in 25 cities of 19 provincial regions of China from 2017 to 2020. Linear mixed-effects models combined with polynomial distributed lag models were used for statistical analysis. A total of 298,396 records among 4,992 asthmatic patients were evaluated. We found generally inverse associations of PM2.5 and PM2.5-10 with 16 pulmonary function indicators that were independent of gaseous pollutants. The associations occurred at lag 1 d, became the strongest at lag 4 d, and vanished a week later. PM2.5-10 had stronger associations than PM2.5, especially in southern China. Nationally, an interquartile increase in PM2.5-10 (28.0 μg/m3) was significantly associated with decreases in forced expiratory volume in 1 s (FEV1, 41.6 mL), the ratio of FEV1 in forced vital capacity (1.1%), peak expiratory flow (136.9 mL/s), and forced expiratory flow at 25-75% of forced vital capacity (54.3 mL/s). We observed stronger associations in patients of male, BMI ≥ 25 kg/m2, age ≥ 45 years old, and during warm seasons. In conclusion, this study provided robust evidence for impaired pulmonary function by short-term exposure to PM2.5 and PM2.5-10 in asthmatic patients using the largest dataset of dynamic monitoring. The associations can last for one week and PM2.5-10 may be more hazardous.
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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, China
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, Center of RespiratorEIy Medicine and National Center for Respiratory Medicine & National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China
| | - Suijie Huang
- Guangzhou Homesun Medical Technology Co., Ltd, Guangdong Province, China
| | - Huichu Li
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - 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, 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, China
| | - Yixuan Jiang
- 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, China
| | - Weidong Wang
- 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, 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, 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, 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, China; Shanghai Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, China.
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Sayed S, Diwadkar AR, Dudley JW, O'Brien J, Dvorin D, Kenyon CC, Himes BE, Hill DA, Henrickson SE. COVID-19 Pandemic–Related Reductions in Pediatric Asthma Exacerbations Corresponded with an Overall Decrease in Respiratory Viral Infections. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY: IN PRACTICE 2022; 10:91-99.e12. [PMID: 34785388 PMCID: PMC8590625 DOI: 10.1016/j.jaip.2021.10.067] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 10/28/2021] [Accepted: 10/29/2021] [Indexed: 11/29/2022]
Abstract
Background Respiratory viruses, air pollutants, and aeroallergens are all implicated in worsening pediatric asthma symptoms, but their relative contributions to asthma exacerbations are poorly understood. A significant decrease in asthma exacerbations has been observed during the coronavirus disease 2019 pandemic, providing a unique opportunity to study how major asthma triggers correlate with asthma activity. Objective To determine whether changes in respiratory viruses, air pollutants, and/or aeroallergens during the coronavirus disease 2019 pandemic were concomitant with decreased asthma exacerbations. Methods Health care utilization and respiratory viral testing data between January 1, 2015, and December 31, 2020, were extracted from the Children’s Hospital of Philadelphia Care Network’s electronic health record. Air pollution and allergen data were extracted from US Environmental Protection Agency public databases and a National Allergy Bureau–certified station, respectively. Pandemic data (2020) were compared with historical data. Results Recovery of in-person asthma encounters during phased reopening (June 6 to November 15, 2020) was uneven: primary care well and specialty encounters reached 94% and 74% of prepandemic levels, respectively, whereas primary care sick and hospital encounters reached 21% and 40% of prepandemic levels, respectively. During the pandemic, influenza A and influenza B decreased to negligible frequency when compared with prepandemic cases, whereas respiratory syncytial virus and rhinovirus infections decreased to low (though nonnegligible) prepandemic levels, as well. No changes in air pollution or aeroallergen levels relative to historical observations were noted. Conclusions Our results suggest that viral respiratory infections are a primary driver of pediatric asthma exacerbations. These findings have broad relevance to both clinical practice and the development of health policies aimed at reducing asthma morbidity.
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Affiliation(s)
- Samir Sayed
- Division of Allergy and Immunology, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Avantika R Diwadkar
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa
| | - Jesse W Dudley
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | | | | | - Chén C Kenyon
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa; Center for Pediatric Clinical Effectiveness and PolicyLab, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Blanca E Himes
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.
| | - David A Hill
- Division of Allergy and Immunology, Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.
| | - Sarah E Henrickson
- Division of Allergy and Immunology, Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.
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Effects of Exposure to Indoor Fine Particulate Matter on Atopic Dermatitis in Children. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111509. [PMID: 34770024 PMCID: PMC8583533 DOI: 10.3390/ijerph182111509] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/28/2021] [Accepted: 10/28/2021] [Indexed: 11/29/2022]
Abstract
This study aimed to investigate the short-term effect of exposure to indoor fine particulate matter (PM2.5) on atopic dermatitis (AD) symptoms in children. Sixty-four children (40 boys and 24 girls) with moderate-to-severe AD, aged under 18 years were enrolled in the study. They were followed up from February 2019 through November 2020. Exposure to indoor PM2.5 in each household of the enrolled children and their AD symptoms were measured daily. The generalized linear mixed model was utilized for statistical analysis. Subdivision analysis was performed by stratifying the patients by age, sex, season, severity, the presence of family allergic diseases, sensitization, and indoor environment conditions including temperature and relative humidity. A total of 9,321 person-days of AD symptom data were collected. The average PM2.5 concentration was 28.7 ± 24.3 µg/m3, with the highest value in winter (47.1 ± 29.6 µg/m3). The overall effect of PM2.5 on AD symptoms was not statistically significant. However, an increase of 10 µg/m3 in indoor PM2.5 concentration increased AD symptom scores by 16.5% (95% CI: 6.5, 27.5) in spring and12.6% (95% CI: 4.3, 21.5) in winter, 6.7% (95% CI: 2.3, 11.3) at indoor temperatures of <25.5 °C, and by 15.0% (95% CI: 3.5, 27.7) with no use of an air purifier. The harmful effect of PM2.5 in boys, in children aged ≥6 years, and in children with inhalant allergen sensitization was significant, showing an increase in AD symptoms of 4.9% (95% CI: 1.4, 8.6), 12.0% (95% CI: 5.3, 19.1), and 7.0% (95% CI: 1.9, 12.3) per 10 µg/m3 of PM2.5, respectively. Furthermore, children with inhalant allergen sensitization plus severe symptoms (SCORing Atopic Dermatitis, SCORAD ≥ 30.7, median value) showed more harmful effects from exposure to PM2.5 (15.7% (95% CI: 4.5, 28.1) increase in AD symptom scores per 10 µg/m3 of PM2.5 increase). Indoor exposure to PM2.5 exacerbated AD symptoms in children in spring, winter, and at indoor temperatures of < 25.5 °C. In particular, this harmful effect was prominent in children with inhalant allergen sensitization and severe symptoms. Minimizing exposure to indoor PM2.5 is needed for the proper management of AD.
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Lan B, Haaland P, Krishnamurthy A, Peden DB, Schmitt PL, Sharma P, Sinha M, Xu H, Fecho K. Open Application of Statistical and Machine Learning Models to Explore the Impact of Environmental Exposures on Health and Disease: An Asthma Use Case. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:11398. [PMID: 34769911 PMCID: PMC8582932 DOI: 10.3390/ijerph182111398] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 10/21/2021] [Accepted: 10/25/2021] [Indexed: 11/16/2022]
Abstract
ICEES (Integrated Clinical and Environmental Exposures Service) provides a disease-agnostic, regulatory-compliant approach for openly exposing and analyzing clinical data that have been integrated at the patient level with environmental exposures data. ICEES is equipped with basic features to support exploratory analysis using statistical approaches, such as bivariate chi-square tests. We recently developed a method for using ICEES to generate multivariate tables for subsequent application of machine learning and statistical models. The objective of the present study was to use this approach to identify predictors of asthma exacerbations through the application of three multivariate methods: conditional random forest, conditional tree, and generalized linear model. Among seven potential predictor variables, we found five to be of significant importance using both conditional random forest and conditional tree: prednisone, race, airborne particulate exposure, obesity, and sex. The conditional tree method additionally identified several significant two-way and three-way interactions among the same variables. When we applied a generalized linear model, we identified four significant predictor variables, namely prednisone, race, airborne particulate exposure, and obesity. When ranked in order by effect size, the results were in agreement with the results from the conditional random forest and conditional tree methods as well as the published literature. Our results suggest that the open multivariate analytic capabilities provided by ICEES are valid in the context of an asthma use case and likely will have broad value in advancing open research in environmental and public health.
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Affiliation(s)
- Bo Lan
- UNC Highway Safety Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;
| | - Perry Haaland
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;
| | - Ashok Krishnamurthy
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA; (A.K.); (P.L.S.); (P.S.); (H.X.)
- Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - David B. Peden
- Division of Allergy, Immunology and Rheumatology, Center for Environmental Medicine, Asthma & Lung Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;
- Department of Pediatrics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Patrick L. Schmitt
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA; (A.K.); (P.L.S.); (P.S.); (H.X.)
| | - Priya Sharma
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA; (A.K.); (P.L.S.); (P.S.); (H.X.)
| | | | - Hao Xu
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA; (A.K.); (P.L.S.); (P.S.); (H.X.)
| | - Karamarie Fecho
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA; (A.K.); (P.L.S.); (P.S.); (H.X.)
- Copperline Professional Solutions, LLC, Pittsboro, NC 27312, USA
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Karveli A, Tzoutzas IG, Raptis PI, Tzanakakis EGC, Farmakis ETR, Helmis CG. Air Quality in a Dental Clinic during Er:YAG Laser Usage for Cavity Preparation on Human Teeth-An Ex-Vivo Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182010920. [PMID: 34682658 PMCID: PMC8535664 DOI: 10.3390/ijerph182010920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/12/2021] [Accepted: 10/12/2021] [Indexed: 12/02/2022]
Abstract
Chemical air pollution in dental clinics consists of the emission of gases and particulate matter (PM), both generated by dental equipment and tooth tissues. One basic application of Erbium Laser devices is cavity preparation on human teeth due to its strong affinity to water and hydroxyapatite. The objective of this study was the evaluation of indoor air quality during the application of an Er:YAG laser, as a dentin removal instrument, in a Dental Clinic. Particulate Matter (PM) was measured using the standard method of EN legislation. In order to measure total Volatile Organic compounds (VOCs), a portable monitor was used. In the first experiment, PM10 and PM2.5 concentrations were increased by approximately 10 and 15 times, respectively. From the second experiment it can be concluded that neither of the measured particle concentrations exceeded the recommended indoor limit values while windows were open, although laser influence was still detectable. Within the limitations applied herein, it was found that Er:YAG laser activity for hard dental tissue removal was associated with high PM and TVOCs concentration values in the working environment, under insufficient or no ventilation. Physical ventilation in the aforementioned setting proved to be an important key factor in improving air quality, as both PM and TVOCs concentrations decreased significantly.
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Affiliation(s)
| | - Ioannis G. Tzoutzas
- Department of Operative Dentistry, School of Dentistry, National and Kapodistrian University of Athens, 11527 Athens, Greece; (I.G.T.); (E.-G.C.T.)
| | | | - Emmanouil-George C. Tzanakakis
- Department of Operative Dentistry, School of Dentistry, National and Kapodistrian University of Athens, 11527 Athens, Greece; (I.G.T.); (E.-G.C.T.)
| | - Eleftherios Terry R. Farmakis
- Department of Endodontics, School of Dentistry, National and Kapodistrian University of Athens, 11527 Athens, Greece
- Correspondence:
| | - Constantinos G. Helmis
- Division of Applied Physics, Department of Physics, University of Athens, 11527 Athens, Greece;
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Faeqali Jan M, Muneer Al-Khafaji H, Hasan Al-Saadi B, Aneed Al-Saedi MK. Assessment of Interleukin-8 in Bronchial Asthma in Iraq. ARCHIVES OF RAZI INSTITUTE 2021; 76:913-923. [PMID: 35096327 PMCID: PMC8791003 DOI: 10.22092/ari.2021.355733.1712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 09/02/2021] [Indexed: 05/09/2023]
Abstract
It has been approved that neutrophils are responsible for many inflammatory lung diseases, such as acute respiratory distress syndrome, chronic obstructive pulmonary disease, and asthma. It is well documented that the CXC chemokine interleukin-8 (IL-8) plays a key role as a potent neutrophil recruiting and activating factor. Asthma is one of the most common major non-contagious diseases and has a substantial impact on the patient's quality of life. The current evidence suggests that asthma is a complex multifactorial disorder, and its etiology is increasingly attributed to interactions between genetic susceptibility, host factors, and environmental exposures. IL-8 plays an important role in respiratory diseases and is a known regulator of pulmonary inflammation and immunity, induced phagocytosis, and promoted angiogenesis. This study aimed to investigate the IL-8 gene expression in blood samples of bronchial asthma patients. Therefore, the blood samples were taken from two groups of participants, including the group of patients with asthma (n=100) in the age range of20-61years and the group of healthy individuals (n=50).The obtained results indicated that the expression of IL-8 mRNA in the group of asthma patients was three times higher than that in the group of healthy individuals. Therefore, it is suggested that the antagonism of IL-8 could be a potent therapeutic strategy in the treatment of asthma.
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Affiliation(s)
- M Faeqali Jan
- Department of Applied Science, University of Technology, Baghdad, Iraq
| | | | - B Hasan Al-Saadi
- Institute of Genetic Engineering and Biotechnologies for Post Graduate Studies, University of Baghdad, Baghdad, Iraq
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Pei C, Wang F, Huang D, Shi S, Wang X, Wang Y, Li S, Wu Y, Wang Z. Astragaloside IV Protects from PM2.5-Induced Lung Injury by Regulating Autophagy via Inhibition of PI3K/Akt/mTOR Signaling in vivo and in vitro. J Inflamm Res 2021; 14:4707-4721. [PMID: 34557015 PMCID: PMC8453246 DOI: 10.2147/jir.s312167] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 08/31/2021] [Indexed: 12/17/2022] Open
Abstract
Introduction Prolonged exposure to air polluted with airborne fine particulate matter (PM2.5) can increase respiratory disease risk. Astragaloside IV (AS-IV) is one of the main bioactive substances in the traditional Chinese medicinal herb, Astragalus membranaceus Bunge. AS-IV has numerous pharmacological properties; whereas there are few reports on the prevention of PM2.5-induced lung injury by AS-IV through modulation of the autophagic pathway. This study aimed to investigate the protective effects and the underlying mechanisms of AS-IV in PM2.5-induced lung injury rats and rat alveolar macrophages (NR8383 cells). Methods The pneumotoxicity model was established by intratracheal injection of PM2.5 in rats, and PM2.5 challenge in NR8383 cells. The severity of lung injury was evaluated by wet weight to dry weight ratio and McGuigan pathology scoring. Inflammatory factors and oxidative stress were detected through ELISA. The expressions of p-PI3K, p-Akt, and p-mTOR proteins were analyzed by immunohistochemistry. Immunofluorescence and transmission electron microscopy were used to detect autophagosomes. The expressions of autophagy marker protein (LC3B and p62), PI3K/Akt/mTOR signaling and NF-κB translocation were detected by Western blot in lung tissue and NR8383 cells. Results After PM2.5 stimulation, rats showed severe inflammation and oxidative stress, along with inhibition of autophagy in lung tissue. AS-IV not only decreased pulmonary inflammation and oxidative stress by inhibiting nuclear factor kappa B translocation, but also regulated autophagy by inhibiting PI3K/Akt/mTOR signaling. After treatment with 3-methyladenine (a classic PI3K inhibitor, blocking the formation of autophagosomes), the protective effect of AS-IV on PM2.5-induced lung injury was further strengthened. In parallel, using Western blot, immunohistochemistry, and transmission electron microscopy, we demonstrated that AS-IV restore autophagic flux mainly through regulating the degradation of autophagosomes rather than suppressing the formation in vivo and in vitro. Conclusion Our data indicated that AS-IV protects from PM2.5-induced lung injury in vivo and in vitro by inhibiting the PI3K/Akt/mTOR pathway to regulate autophagy and inflammation.
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Affiliation(s)
- Caixia Pei
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China
| | - Fei Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China
| | - Demei Huang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China
| | - Shihua Shi
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China
| | - Xiaomin Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China
| | - Yilan Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China
| | - Shuiqin Li
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China
| | - Yongcan Wu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China
| | - Zhenxing Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China
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Feasibility and acceptability of monitoring personal air pollution exposure with sensors for asthma self-management. Asthma Res Pract 2021; 7:13. [PMID: 34482835 PMCID: PMC8420032 DOI: 10.1186/s40733-021-00079-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 08/08/2021] [Indexed: 11/18/2022] Open
Abstract
Background Exposure to fine particulate matter (PM2.5) increases the risk of asthma exacerbations, and thus, monitoring personal exposure to PM2.5 may aid in disease self-management. Low-cost, portable air pollution sensors offer a convenient way to measure personal pollution exposure directly and may improve personalized monitoring compared with traditional methods that rely on stationary monitoring stations. We aimed to understand whether adults with asthma would be willing to use personal sensors to monitor their exposure to air pollution and to assess the feasibility of using sensors to measure real-time PM2.5 exposure. Methods We conducted semi-structured interviews with 15 adults with asthma to understand their willingness to use a personal pollution sensor and their privacy preferences with regard to sensor data. Student research assistants used HabitatMap AirBeam devices to take PM2.5 measurements at 1-s intervals while walking in Philadelphia neighborhoods in May–August 2018. AirBeam PM2.5 measurements were compared to concurrent measurements taken by three nearby regulatory monitors. Results All interview participants stated that they would use a personal air pollution sensor, though the consensus was that devices should be small (watch- or palm-sized) and light. Patients were generally unconcerned about privacy or sharing their GPS location, with only two stating they would not share their GPS location under any circumstances. PM2.5 measurements were taken using AirBeam sensors on 34 walks that extended through five Philadelphia neighborhoods. The range of sensor PM2.5 measurements was 0.6–97.6 μg/mL (mean 6.8 μg/mL), compared to 0–22.6 μg/mL (mean 9.0 μg/mL) measured by nearby regulatory monitors. Compared to stationary measurements, which were only available as 1-h integrated averages at discrete monitoring sites, sensor measurements permitted characterization of fine-scale fluctuations in PM2.5 levels over time and space. Conclusions Patients were generally interested in using sensors to monitor their personal exposure to PM2.5 and willing to share personal sensor data with health care providers and researchers. Compared to traditional methods of personal exposure assessment, sensors captured personalized air quality information at higher spatiotemporal resolution. Improvements to currently available sensors, including more reliable Bluetooth connectivity, increased portability, and longer battery life would facilitate their use in a general patient population. Supplementary Information The online version contains supplementary material available at 10.1186/s40733-021-00079-9.
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Saha S, Vaidyanathan A, Lo F, Brown C, Hess JJ. Short term physician visits and medication prescriptions for allergic disease associated with seasonal tree, grass, and weed pollen exposure across the United States. Environ Health 2021; 20:85. [PMID: 34289856 PMCID: PMC8296728 DOI: 10.1186/s12940-021-00766-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 06/28/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND While year-round exposure to pollen is linked to a large burden of allergic diseases, location-specific risk information on pollen types and allergy outcomes are limited. We characterize the relationship between acute exposure to tree, grass and weed pollen taxa and two allergy outcomes (allergic rhinitis physician visit and prescription allergy medication fill) across 28 metropolitan statistical areas (MSA) in the United States. METHODS We obtained daily pollen data from National Allergy Bureau (NAB) monitors at these 28 MSAs for 2008-2015. We revised the NAB guidelines to classify taxa-specific pollen severity each day. Daily information on allergic rhinitis and prescribed allergy medications for individuals with employer-based health insurance from the IBM MarketScan Research database for these MSAs. We combined the daily pollen and health data for each MSA into a longitudinal dataset. We conducted a MSA-specific conditional quasi-Poisson regression analysis to assess how different levels of pollen concentration impact the health outcomes, controlling for local air pollution, meteorology and Influenza-like illness (ILI). We used a random effects meta-analysis to produce an overall risk estimate for each pollen type and health outcome. RESULTS The seasonal distribution of pollen taxa and associated health impacts varied across the MSAs. Relative risk of allergic rhinitis visits increased as concentrations increased for all pollen types; relative risk of medication fills increased for tree and weed pollen only. We observed an increase in health risk even on days with moderate levels of pollen concentration. 7-day average concentration of pollen had stronger association with the health outcomes compared to the same-day measure. Controlling for air pollution and ILI had little impact on effect estimates. CONCLUSION This analysis expands the catalogue of associations between different pollen taxa and allergy-related outcomes across multiple MSAs. The effect estimates we present can be used to project the burden of allergic disease in specific locations in the future as well inform patients with allergies on impending pollen exposure.
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Affiliation(s)
- Shubhayu Saha
- Centers for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Hwy, GA, 30341, Atlanta, USA.
| | - Ambarish Vaidyanathan
- Centers for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Hwy, GA, 30341, Atlanta, USA
| | - Fiona Lo
- Department of Atmospheric Sciences, College of the Environment, University of Washington, Seattle, WA, USA
| | - Claudia Brown
- Centers for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Hwy, GA, 30341, Atlanta, USA
| | - Jeremy J Hess
- Department of Emergency Medicine, School of Medicine, University of Washington, Seattle, WA, USA
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, WA, USA
- Department of Global Health, Schools of Medicine and Public Health, University of Washington, Seattle, WA, USA
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Wu H, Wang D, Shi H, Liu N, Wang C, Tian J, Wang X, Zhang Z. PM 2.5 and water-soluble components induce airway fibrosis through TGF-β1/Smad3 signaling pathway in asthmatic rats. Mol Immunol 2021; 137:1-10. [PMID: 34175710 DOI: 10.1016/j.molimm.2021.06.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 06/01/2021] [Accepted: 06/09/2021] [Indexed: 01/12/2023]
Abstract
Epidemiological studies have suggested that fine particulate matter (PM2.5) and asthma have been independently associated with pulmonary fibrosis but rarely studied together. Furthermore, it is unknown whether airway fibrosis in asthma is more attributable to water-soluble ions of PM2.5. Our current study was to explore the potential mechanism of PM2.5 and water-soluble components on airway fibrosis in ovalbumin (OVA)-sensitized asthmatic rats. Rats were intratracheally instilled with PM2.5 and water-soluble components every 3 days for 4 times or 8 times. Histopathological examination demonstrated that lung inflammatory and airway fibrosis were induced after PM2.5 and water-soluble components exposure. Meanwhile, PM2.5, in particular water-soluble extracts, increased expression of collagen 1 (COL-1), connective tissue growth factor (CTGF), interleukin-6 (IL-6), transforming growth factor-β1 (TGF-β1), Smad family member 3 (Smad3), and p-Smad3, whereas decreased secretion of heme oxygenase-1 (HO-1). However, pretreating asthmatic rats with SB432542, the inhibitor of TGF-β1, and SIS3 HCl, the antagonist of Smad3, both reversed the activation of airway fibrosis induced by water-soluble extracts. Therefore, TGF-β1/Smad3 signaling pathway may be responsible for the pathological process of airway fibrosis in asthmatic rats following PM2.5 and water-soluble components exposure.
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Affiliation(s)
- Hongyan Wu
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
| | - Dan Wang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
| | - Hao Shi
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
| | - Nannan Liu
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
| | - Caihong Wang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
| | - Jiayu Tian
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
| | - Xin Wang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
| | - Zhihong Zhang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China.
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Pan X, Wu J, Jiang C, Yu Q, Yan B. Synergistic effects of carbon nanoparticle-Cr-Pb in PM 2.5 cause cell cycle arrest via upregulating a novel lncRNA NONHSAT074301.2 in human bronchial epithelial cells. JOURNAL OF HAZARDOUS MATERIALS 2021; 411:125070. [PMID: 33858084 DOI: 10.1016/j.jhazmat.2021.125070] [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: 11/06/2020] [Revised: 12/25/2020] [Accepted: 01/03/2021] [Indexed: 06/12/2023]
Abstract
Inhalation of carcinogenic PM2.5 particles is a severe threat to all the people in both developing and developed nations. However, which components of PM2.5 and how they perturb human cells to cause various diseases are still not understood. Here, employing a reductionism approach, we revealed that one of the crucial toxic and pathogenic mechanisms of PM2.5 was the blocking of human bronchial cell cycle through upregulation of a novel long non-coding RNA NONHSAT074301.2 by carbon particles with payloads of Cr(VI) and Pb2+. We also discovered that NONHSAT074301.2 is a key regulatory molecule controlling cell cycle arrest at G2/M phase. This work highlights cellular function and molecular signaling events investigations using a 16-membered combinational model PM2.5 library which contain carbon particles carrying four toxic pollutants in all possible combinations at environmental relevant concentrations. This work demonstrates a very powerful methodology to elucidate mechanisms at molecular level and help unlock the "black box" of PM2.5-induced toxicities.
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Affiliation(s)
- Xiujiao Pan
- Institute of Environmental Research at Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China
| | - Jialong Wu
- Institute of Environmental Research at Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China
| | - Cuijuan Jiang
- School of Environmental Science and Engineering, Shandong University, Jinan 250100, China
| | - Qianhui Yu
- School of Environmental Science and Engineering, Shandong University, Jinan 250100, China
| | - Bing Yan
- Institute of Environmental Research at Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China; School of Environmental Science and Engineering, Shandong University, Jinan 250100, China.
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Federico MJ, Denlinger LC, Corren J, Szefler SJ, Fuhlbrigge AL. Exacerbation-Prone Asthma: A Biological Phenotype or a Social Construct. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE 2021; 9:2627-2634. [PMID: 34051392 DOI: 10.1016/j.jaip.2021.05.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 05/17/2021] [Accepted: 05/19/2021] [Indexed: 12/14/2022]
Abstract
Asthma is a complex syndrome with multiple phenotypes and endotypes. Asthma exacerbations are not only the clearest indictor of the morbidity of asthma and of the risk for mortality due to asthma, but also comprise a significant amount of the cost to care for poorly controlled asthma. There continues to be significant disparity in the prevalence, mortality, and morbidity due to asthma. Patients with asthma who suffer recurrent exacerbations are considered to have exacerbation-prone asthma (EPA). Efforts to characterize patients with frequent exacerbations show that the etiology is likely multifactorial. Research to determine the intrinsic risk factors for EPA include studies of both genetic and inflammatory biomarkers. External factors contributing to exacerbations have been extensively reviewed and include viral infection, environmental exposures, air pollution, and psychosocial and economic barriers to optimizing health. It is likely that EPA occurs when patients who have an increased underlying intrinsic/biological risk are placed in a given exposome (environments with a variety of exposures and triggers including allergens, pollution, stress, barriers, and occupational exposures). It is the social construct combined with underlying biology that frequently drives an EPA phenotype.
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Affiliation(s)
- Monica J Federico
- The Breathing Institute, Children's Hospital Colorado, and Department of Pediatrics, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colo.
| | - Loren C Denlinger
- Division of Allergy, Pulmonary, and Critical Care Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wis
| | - Jonathan Corren
- Departments of Medicine and Pediatrics, Divisions of Allergy and Clinical Immunology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, Calif
| | - Stanley J Szefler
- The Breathing Institute, Children's Hospital Colorado, and Department of Pediatrics, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colo
| | - Anne L Fuhlbrigge
- Pulmonary Sciences and Critical Care, Department of Medicine, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colo
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Diwadkar AR, Yoon S, Shim J, Gonzalez M, Urbanowicz R, Himes BE. Integrating Biomedical Informatics Training into Existing High School Curricula. AMIA JOINT SUMMITS ON TRANSLATIONAL SCIENCE PROCEEDINGS. AMIA JOINT SUMMITS ON TRANSLATIONAL SCIENCE 2021; 2021:190-199. [PMID: 34457133 PMCID: PMC8378629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Growing demand for biomedical informaticists and expertise in areas related to this discipline has accentuated the need to integrate biomedical informatics training into high school curricula. The K-12 Bioinformatics professional development project educates high school teachers about data analysis, biomedical informatics and mobile learning, and partners with them to expose high school students to health and environment-related issues using biomedical informatics knowledge and current technologies. We designed low-cost pollution sensors and created interactive web applications that teachers from six Philadelphia public high schools used during the 2019-2020 school year to successfully implement a problem-based mobile learning unit that included collecting and interpreting air pollution data, as well as relating this data to asthma. Through this project, we sought to improve data and health literacy among the students and teachers, while inspiring student engagement by demonstrating how biomedical informatics can help address problems relevant to communities where students live.
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Affiliation(s)
- Avantika R Diwadkar
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, US
| | - Susan Yoon
- Graduate School of Education, University of Pennsylvania, Philadelphia, PA, US
| | - Jooeun Shim
- Graduate School of Education, University of Pennsylvania, Philadelphia, PA, US
| | - Michael Gonzalez
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, US
| | - Ryan Urbanowicz
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, US
| | - Blanca E Himes
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, US
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Associations between air pollution indicators and prevalent and incident diabetes in an African American cohort, the Jackson Heart Study. Environ Epidemiol 2021; 5:e140. [PMID: 33912784 DOI: 10.1097/ee9.0000000000000140] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 02/01/2021] [Indexed: 01/04/2023] Open
Abstract
Background Diabetes is especially prevalent among African Americans. Prior studies suggest that long-term exposure to ambient air pollution may be associated with greater incidence of diabetes, but results remain heterogeneous. Few studies have included large numbers of African Americans. Methods We assessed diabetes status and concentrations of 1- and 3-year fine particulate matter (PM2.5) and ozone (O3) among African American participants of the Jackson Heart Study at visits 1 (2000-2004, N = 5128) and 2 (2005-2008, N = 2839). We used mixed-effect modified Poisson regression to estimate risk ratios (RRs) and 95% confidence intervals (CIs) of incidence of diabetes by visit 2 and prevalence ratios (PRs) of the association between air pollution exposure and prevalent diabetes at visits 1 and 2. We adjusted for potential confounding by patient characteristics, as well as inverse probability weights of diabetes at visit 2, accounting for clustering by census tract. Results We observed associations between incident diabetes and interquartile range increase in 1-year O3 (RR 1.34, 95% CI = 1.11, 1.61) and 3-year O3 (RR 0.88, 95% CI = 0.76, 1.02). We observed associations between prevalent diabetes and 1-year PM2.5 (PR 1.08, 95% CI = 1.00, 1.17), 1-year O3 (PR 1.18, 95% CI = 1.10, 1.27), and 3-year O3 (PR 0.95, 95% CI = 0.90, 1.01) at visit 2. Conclusions Our results provide some evidence of positive associations between indicators of long-term PM2.5 and O3 exposure and diabetes. This study is particularly relevant to African Americans, who have higher prevalence of diabetes but relatively few studies of environmental pollution risk factors.
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Weaver AM, Wang Y, Wellenius GA, Bidulescu A, Sims M, Vaidyanathan A, Hickson DA, Shimbo D, Abdalla M, Diaz KM, Seals SR. Long-Term Air Pollution and Blood Pressure in an African American Cohort: the Jackson Heart Study. Am J Prev Med 2021; 60:397-405. [PMID: 33478866 PMCID: PMC10388406 DOI: 10.1016/j.amepre.2020.10.023] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 09/21/2020] [Accepted: 10/30/2020] [Indexed: 11/23/2022]
Abstract
INTRODUCTION African Americans are disproportionately affected by high blood pressure, which may be associated with exposure to air pollutants, such as fine particulate matter and ozone. METHODS Among African American Jackson Heart Study participants, this study examined associations between 1-year and 3-year mean fine particulate matter and ozone concentrations with prevalent and incident hypertension at Visits 1 (2000-2004, n=5,191) and 2 (2005-2008, n=4,105) using log binomial regression. Investigators examined associations with systolic blood pressure, diastolic blood pressure, pulse pressure, and mean arterial pressure using linear regression and hierarchical linear models, adjusting for sociodemographic, behavioral, and clinical characteristics. Analyses were conducted in 2017-2019. RESULTS No associations were observed between fine particulate matter or ozone concentration and prevalent or incident hypertension. In linear models, an IQR increase in 1-year ozone concentration was associated with 0.67 mmHg higher systolic blood pressure (95% CI=0.27, 1.06), 0.42 mmHg higher diastolic blood pressure (95% CI=0.20, 0.63), and 0.50 mmHg higher mean arterial pressure (95% CI=0.26, 0.74). In hierarchical models, fine particulate matter was inversely associated with systolic blood pressure (-0.72, 95% CI= -1.31, -0.13), diastolic blood pressure (-0.69, 95% CI= -1.02, -0.36), and mean arterial pressure (-0.71, 95% CI= -1.08, -0.33). Attenuated associations were observed with 1-year concentrations and at Visit 1. CONCLUSIONS Positive associations were observed between ozone and systolic blood pressure, diastolic blood pressure, and mean arterial pressure, and inverse associations between fine particulate matter and systolic blood pressure, diastolic blood pressure, and mean arterial pressure in an African American population with high (56%) prevalence of hypertension. Effect sizes were small and may not be clinically relevant.
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Affiliation(s)
- Anne M Weaver
- Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Chapel Hill, North Carolina; Department of Environmental Health, Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana
| | - Yi Wang
- Department of Environmental Health, Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana.
| | - Gregory A Wellenius
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts
| | - Aurelian Bidulescu
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, Indiana
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | - Ambarish Vaidyanathan
- School of Civil & Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia
| | - DeMarc A Hickson
- Department of Epidemiology and Biostatistics, School of Public Health, Jackson State University, Jackson, Mississippi
| | - Daichi Shimbo
- Division of Cardiology, Columbia University Medical Center, New York, New York
| | - Marwah Abdalla
- Division of Cardiology, Columbia University Medical Center, New York, New York
| | - Keith M Diaz
- Division of Cardiology, Columbia University Medical Center, New York, New York
| | - Samantha R Seals
- Department of Mathematics and Statistics, University of West Florida, Pensacola, Florida
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Fecho K, Pfaff E, Xu H, Champion J, Cox S, Stillwell L, Peden DB, Bizon C, Krishnamurthy A, Tropsha A, Ahalt SC. A novel approach for exposing and sharing clinical data: the Translator Integrated Clinical and Environmental Exposures Service. J Am Med Inform Assoc 2021; 26:1064-1073. [PMID: 31077269 DOI: 10.1093/jamia/ocz042] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 03/12/2019] [Accepted: 03/25/2019] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE This study aimed to develop a novel, regulatory-compliant approach for openly exposing integrated clinical and environmental exposures data: the Integrated Clinical and Environmental Exposures Service (ICEES). MATERIALS AND METHODS The driving clinical use case for research and development of ICEES was asthma, which is a common disease influenced by hundreds of genes and a plethora of environmental exposures, including exposures to airborne pollutants. We developed a pipeline for integrating clinical data on patients with asthma-like conditions with data on environmental exposures derived from multiple public data sources. The data were integrated at the patient and visit level and used to create de-identified, binned, "integrated feature tables," which were then placed behind an OpenAPI. RESULTS Our preliminary evaluation results demonstrate a relationship between exposure to high levels of particulate matter ≤2.5 µm in diameter (PM2.5) and the frequency of emergency department or inpatient visits for respiratory issues. For example, 16.73% of patients with average daily exposure to PM2.5 >9.62 µg/m3 experienced 2 or more emergency department or inpatient visits for respiratory issues in year 2010 compared with 7.93% of patients with lower exposures (n = 23 093). DISCUSSION The results validated our overall approach for openly exposing and sharing integrated clinical and environmental exposures data. We plan to iteratively refine and expand ICEES by including additional years of data, feature variables, and disease cohorts. CONCLUSIONS We believe that ICEES will serve as a regulatory-compliant model and approach for promoting open access to and sharing of integrated clinical and environmental exposures data.
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Affiliation(s)
- Karamarie Fecho
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Emily Pfaff
- North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Hao Xu
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - James Champion
- North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Steve Cox
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Lisa Stillwell
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - David B Peden
- North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Division of Allergy, Immunology and Rheumatology, Center for Environmental Medicine, Asthma & Lung Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Pediatrics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Chris Bizon
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ashok Krishnamurthy
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Alexander Tropsha
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Stanley C Ahalt
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Fecho K, Haaland P, Krishnamurthy A, Lan B, Ramsey SA, Schmitt PL, Sharma P, Sinha M, Xu H. An approach for open multivariate analysis of integrated clinical and environmental exposures data. INFORMATICS IN MEDICINE UNLOCKED 2021; 26. [PMID: 35875189 PMCID: PMC9302917 DOI: 10.1016/j.imu.2021.100733] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
The Integrated Clinical and Environmental Exposures Service (ICEES)
provides regulatory-compliant open access to sensitive patient data that have
been integrated with public exposures data. ICEES was designed initially to
support dynamic cohort creation and bivariate contingency tests. The objective
of the present study was to develop an open approach to support multivariate
analyses using existing ICEES functionalities and abiding by all regulatory
constraints. We first developed an open approach for generating a multivariate
table that maintains contingencies between clinical and environmental variables
using programmatic calls to the open ICEES application programming interface. We
then applied the approach to data on a large cohort (N = 22,365) of patients
with asthma or related conditions and generated an eight-feature table. Due to
regulatory constraints, data loss was incurred with the incorporation of each
successive feature variable, from a starting sample size of N = 22,365 to a
final sample size of N = 4,556 (20.4%), but data loss was < 10% until the
addition of the final two feature variables. We then applied a generalized
linear model to the subsequent dataset and focused on the impact of seven select
feature variables on asthma exacerbations, defined as annual emergency
department or inpatient visits for respiratory issues. We identified five
feature variables—sex, race, obesity, prednisone, and airborne
particulate exposure—as significant predictors of asthma exacerbations.
We discuss the advantages and disadvantages of ICEES open multivariate analysis
and conclude that, despite limitations, ICEES can provide a valuable resource
for open multivariate analysis and can serve as an exemplar for
regulatory-compliant informatic solutions to open patient data, with
capabilities to explore the impact of environmental exposures on health
outcomes.
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Anenberg SC, Haines S, Wang E, Nassikas N, Kinney PL. Synergistic health effects of air pollution, temperature, and pollen exposure: a systematic review of epidemiological evidence. Environ Health 2020; 19:130. [PMID: 33287833 PMCID: PMC7720572 DOI: 10.1186/s12940-020-00681-z] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 11/30/2020] [Indexed: 05/29/2023]
Abstract
BACKGROUND Exposure to heat, air pollution, and pollen are associated with health outcomes, including cardiovascular and respiratory disease. Studies assessing the health impacts of climate change have considered increased exposure to these risk factors separately, though they may be increasing simultaneously for some populations and may act synergistically on health. Our objective is to systematically review epidemiological evidence for interactive effects of multiple exposures to heat, air pollution, and pollen on human health. METHODS We systematically searched electronic literature databases (last search, April 29, 2019) for studies reporting quantitative measurements of associations between at least two of the exposures and mortality from any cause and cardiovascular and respiratory morbidity and mortality specifically. Following the Navigation Guide systematic review methodology, we evaluated the risk of bias of individual studies and the overall quality and strength of evidence. RESULTS We found 56 studies that met the inclusion criteria. Of these, six measured air pollution, heat, and pollen; 39 measured air pollution and heat; 10 measured air pollution and pollen; and one measured heat and pollen. Nearly all studies were at risk of bias from exposure assessment error. However, consistent exposure-response across studies led us to conclude that there is overall moderate quality and sufficient evidence for synergistic effects of heat and air pollution. We concluded that there is overall low quality and limited evidence for synergistic effects from simultaneous exposure to (1) air pollution, pollen, and heat; and (2) air pollution and pollen. With only one study, we were unable to assess the evidence for synergistic effects of heat and pollen. CONCLUSIONS If synergistic effects between heat and air pollution are confirmed with additional research, the health impacts from climate change-driven increases in air pollution and heat exposure may be larger than previously estimated in studies that consider these risk factors individually.
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Affiliation(s)
- Susan C. Anenberg
- Milken Institute School of Public Health, George Washington University, 950 New Hampshire Ave NW, Washington, DC 20052 USA
| | - Shannon Haines
- Milken Institute School of Public Health, George Washington University, 950 New Hampshire Ave NW, Washington, DC 20052 USA
- Now at: American Lung Association, Springfield, IL USA
| | - Elizabeth Wang
- Milken Institute School of Public Health, George Washington University, 950 New Hampshire Ave NW, Washington, DC 20052 USA
| | - Nicholas Nassikas
- Department of Pulmonary, Critical Care, and Sleep Medicine, Brown University Alpert Medical School, Providence, RI 02903 USA
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Mullen C, Grineski SE, Collins TW, Mendoza DL. Effects of PM 2.5 on Third Grade Students' Proficiency in Math and English Language Arts. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E6931. [PMID: 32971971 PMCID: PMC7559489 DOI: 10.3390/ijerph17186931] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 09/07/2020] [Accepted: 09/18/2020] [Indexed: 12/15/2022]
Abstract
Fine particulate air pollution is harmful to children in myriad ways. While evidence is mounting that chronic exposures are associated with reduced academic proficiency, no research has examined the frequency of peak exposures. It is also unknown if pollution exposures influence academic proficiency to the same degree in all schools or if the level of children's social disadvantage in schools modifies the effects, such that some schools' academic proficiency levels are more sensitive to exposures. We address these gaps by examining the percentage of third grade students who tested below the grade level in math and English language arts (ELA) in Salt Lake County, Utah primary schools (n = 156), where fine particulate pollution is a serious health threat. More frequent peak exposures were associated with reduced math and ELA proficiency, as was greater school disadvantage. High frequency peak exposures were more strongly linked to lower math proficiency in more advantaged schools. Findings highlight the need for policies to reduce the number of days with peak air pollution.
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Affiliation(s)
- Casey Mullen
- Department of Sociology, University of Utah, 480 S 1530 E. Rm 0301, Salt Lake City, UT 84112, USA;
| | - Sara E. Grineski
- Department of Sociology/Environmental and Sustainability Studies, University of Utah, 480 S 1530 E. Room 0301, Salt Lake City, UT 84112, USA
| | - Timothy W. Collins
- Department of Geography/Environmental and Sustainability Studies, University of Utah, 260 Central Campus Dr #4625, Salt Lake City, UT 84112, USA;
| | - Daniel L. Mendoza
- Department of Atmospheric Sciences/City & Metropolitan Planning, University of Utah, 135 S 1460 E. Room 819, Salt Lake City, UT 84112, USA;
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Sotty J, Kluza J, De Sousa C, Tardivel M, Anthérieu S, Alleman LY, Canivet L, Perdrix E, Loyens A, Marchetti P, Lo Guidice JM, Garçon G. Mitochondrial alterations triggered by repeated exposure to fine (PM 2.5-0.18) and quasi-ultrafine (PM 0.18) fractions of ambient particulate matter. ENVIRONMENT INTERNATIONAL 2020; 142:105830. [PMID: 32585499 DOI: 10.1016/j.envint.2020.105830] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 05/20/2020] [Accepted: 05/22/2020] [Indexed: 06/11/2023]
Abstract
Nowadays ambient particulate matter (PM) levels still regularly exceed the guideline values established by World Health Organization in most urban areas. Numerous experimental studies have already demonstrated the airway toxicity of the fine fraction of PM (FP), mainly triggered by oxidative stress-induced airway inflammation. However, only few studies have actually paid close attention to the ultrafine fraction of PM (UFP), which is likely to be more easily internalized in cells and more biologically reactive. Mitochondria are major endogenous sources of reactive oxygen species (ROS) through oxidative metabolism, and coordinate many critical cellular signaling processes. Mitochondria have been often studied in the context of PM toxicity and generally associated with apoptosis activation. However, little is known about the underlying adaptation mechanisms that could occur following exposure at sub-apoptotic doses of ambient PM. Here, normal human bronchial epithelial BEAS-2B cells were acutely or repeatedly exposed to relatively low doses (5 µg.cm-2) of FP (PM2.5-0.18) or quasi-UFP (Q-UFP; PM0.18) to better access the critical changes in mitochondrial morphology, functions, and dynamics. No significant cytotoxicity nor increase of apoptotic events were reported for any exposure. Mitochondrial membrane potential (ΔΨm) and intracellular ATP content were also not significantly impaired. After cell exposure to sub-apoptotic doses of FP and notably Q-UFP, oxidative phosphorylation was increased as well as mitochondrial mass, resulting in increased production of mitochondrial superoxide anion. Given this oxidative boost, the NRF2-ARE signaling pathway was significantly activated. However, mitochondrial dynamic alterations in favor of accentuated fission process were observed, in particular after Q-UFP vs FP, and repeated vs acute exposure. Taken together, these results supported mitochondrial quality control and metabolism dysfunction as an early lung underlying mechanism of toxicity, thereby leading to accumulation of defective mitochondria and enhanced endogenous ROS generation. Therefore, these features might play a key role in maintaining PM-induced oxidative stress and inflammation within lung cells, which could dramatically contribute to the exacerbation of inflammatory chronic lung diseases. The prospective findings of this work could also offer new insights into the physiopathology of lung toxicity, arguably initiate and/or exacerbate by acutely and rather repeated exposure to ambient FP and mostly Q-UFP.
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Affiliation(s)
- J Sotty
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483-IMPECS, 59000 Lille, France
| | - J Kluza
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut de Recherche contre le Cancer de Lille, UMR 9020-UMR-S 1277 - Canther - Cancer Heterogeneity, Plasticity and Resistance to Therapies, 59000 Lille, France
| | - C De Sousa
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483-IMPECS, 59000 Lille, France
| | - M Tardivel
- Univ. Lille, BioImaging Centre Lille-Nord de France (BICeL), 59000, Lille, France
| | - S Anthérieu
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483-IMPECS, 59000 Lille, France
| | - L-Y Alleman
- IMT Lille Douai, Univ. Lille, SAGE - Département Sciences de l'Atmosphère et Génie de l'Environnement, 59000 Lille, France
| | - L Canivet
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483-IMPECS, 59000 Lille, France
| | - E Perdrix
- IMT Lille Douai, Univ. Lille, SAGE - Département Sciences de l'Atmosphère et Génie de l'Environnement, 59000 Lille, France
| | - A Loyens
- University of Lille, Inserm, CHU Lille, UMR-S 1172 - Lille Neuroscience & Cognition, 59000 Lille, France
| | - P Marchetti
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut de Recherche contre le Cancer de Lille, UMR 9020-UMR-S 1277 - Canther - Cancer Heterogeneity, Plasticity and Resistance to Therapies, 59000 Lille, France
| | - J-M Lo Guidice
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483-IMPECS, 59000 Lille, France
| | - G Garçon
- Univ. Lille, CHU Lille, Institut Pasteur de Lille, ULR 4483-IMPECS, 59000 Lille, France.
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Rosenquist NA, Metcalf WJ, Ryu SY, Rutledge A, Coppes MJ, Grzymski JJ, Strickland MJ, Darrow LA. Acute associations between PM 2.5 and ozone concentrations and asthma exacerbations among patients with and without allergic comorbidities. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2020; 30:795-804. [PMID: 32094459 DOI: 10.1038/s41370-020-0213-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 01/10/2020] [Accepted: 01/21/2020] [Indexed: 05/21/2023]
Abstract
Acute effects of outdoor air pollution on asthma exacerbations may vary by asthma phenotype (allergic vs nonallergic). Associations of ambient PM2.5 and ozone concentrations with acute asthma visits (office, urgent, emergency, and hospitalization) were investigated using electronic medical records. International Classification of Disease codes were used to identify asthmatics, and classify them based on the presence or absence of an allergic comorbidity in their medical records. Daily 24-h average PM2.5, 8-h maximum ozone, and mean temperature were obtained from a centralized monitor. Using a time-stratified case-crossover approach, pollutant concentrations were modeled using moving averages and distributed lag nonlinear models (lag 0-6) to examine lag associations and nonlinear concentration-response. The adjusted odds ratios for a 10 µg/m3 increase in 3-day moving average (lag 0-2) PM2.5 in the two-pollutant models among patients with and without allergic comorbidities were 1.10 (95% confidence interval [CI]: 1.07, 1.13) and 1.05 (95% CI: 1.02, 1.09), respectively; and for a 20 ppb increase in 3-day moving average (lag 0-2) ozone were 1.08 (95% CI: 1.02, 1.14) and 1.00 (95% CI: 0.95, 1.05), respectively. Estimated odds ratios among patients with allergic comorbidities were consistently higher across age, sex, and temperature categories. Asthmatics with an allergic comorbidity may be more susceptible to ambient PM2.5 and ozone.
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Affiliation(s)
| | - William J Metcalf
- Renown Institute for Health Innovation, Reno, NV, USA
- Desert Research Institute, Reno, NV, USA
| | - So Young Ryu
- School of Community Health Sciences, University of Nevada, Reno, NV, USA
| | - Aida Rutledge
- University of Nevada School of Medicine, Reno, NV, USA
| | - Max J Coppes
- Renown Institute for Health Innovation, Reno, NV, USA
- University of Nevada School of Medicine, Reno, NV, USA
- Renown Children's Hospital, Reno, NV, USA
| | - Joe J Grzymski
- Renown Institute for Health Innovation, Reno, NV, USA
- Desert Research Institute, Reno, NV, USA
| | - Matthew J Strickland
- School of Community Health Sciences, University of Nevada, Reno, NV, USA
- University of Nevada School of Medicine, Reno, NV, USA
| | - Lyndsey A Darrow
- School of Community Health Sciences, University of Nevada, Reno, NV, USA
- University of Nevada School of Medicine, Reno, NV, USA
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Taquechel K, Diwadkar AR, Sayed S, Dudley JW, Grundmeier RW, Kenyon CC, Henrickson SE, Himes BE, Hill DA. Pediatric Asthma Health Care Utilization, Viral Testing, and Air Pollution Changes During the COVID-19 Pandemic. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY-IN PRACTICE 2020; 8:3378-3387.e11. [PMID: 32827728 PMCID: PMC7438361 DOI: 10.1016/j.jaip.2020.07.057] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 07/28/2020] [Accepted: 07/28/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic caused dramatic changes in daily routines and health care utilization and delivery patterns in the United States. Understanding the influence of these changes and associated public health interventions on asthma care is important to determine effects on patient outcomes and identify measures that will ensure optimal future health care delivery. OBJECTIVE We sought to identify changes in pediatric asthma-related health care utilization, respiratory viral testing, and air pollution during the COVID-19 pandemic. METHODS For the time period January 17 to May 17, 2015 to 2020, asthma-related encounters and weekly summaries of respiratory viral testing data were extracted from Children's Hospital of Philadelphia electronic health records, and pollution data for 4 criteria air pollutants were extracted from AirNow. Changes in encounter characteristics, viral testing patterns, and air pollution before and after Mar 17, 2020, the date public health interventions to limit viral transmission were enacted in Philadelphia, were assessed and compared with data from 2015 to 2019 as a historical reference. RESULTS After March 17, 2020, in-person asthma encounters decreased by 87% (outpatient) and 84% (emergency + inpatient). Video telemedicine, which was not previously available, became the most highly used asthma encounter modality (61% of all visits), and telephone encounters increased by 19%. Concurrently, asthma-related systemic steroid prescriptions and frequency of rhinovirus test positivity decreased, although air pollution levels did not substantially change, compared with historical trends. CONCLUSIONS The COVID-19 pandemic in Philadelphia was accompanied by changes in pediatric asthma health care delivery patterns, including reduced admissions and systemic steroid prescriptions. Reduced rhinovirus infections may have contributed to these patterns.
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Affiliation(s)
- Kiara Taquechel
- Division of Allergy and Immunology, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Avantika R Diwadkar
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa
| | - Samir Sayed
- Division of Allergy and Immunology, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Jesse W Dudley
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Robert W Grundmeier
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa
| | - Chén C Kenyon
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa; Center for Pediatric Clinical Effectiveness and PolicyLab, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Sarah E Henrickson
- Division of Allergy and Immunology, Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.
| | - Blanca E Himes
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.
| | - David A Hill
- Division of Allergy and Immunology, Children's Hospital of Philadelphia, Philadelphia, Pa; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa; Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.
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Translator Exposure APIs: Open Access to Data on Airborne Pollutant Exposures, Roadway Exposures, and Socio-Environmental Exposures and Use Case Application. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17145243. [PMID: 32708093 PMCID: PMC7400024 DOI: 10.3390/ijerph17145243] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 07/10/2020] [Accepted: 07/16/2020] [Indexed: 11/17/2022]
Abstract
Environmental exposures have profound effects on health and disease. While public repositories exist for a variety of exposures data, these are generally difficult to access, navigate, and interpret. We describe the research, development, and application of three open application programming interfaces (APIs) that support access to usable, nationwide, exposures data from three public repositories: airborne pollutant estimates from the US Environmental Protection Agency; roadway data from the US Department of Transportation; and socio-environmental exposures from the US Census Bureau’s American Community Survey. Three open APIs were successfully developed, deployed, and tested using random latitude/longitude values and time periods as input parameters. After confirming the accuracy of the data, we used the APIs to extract exposures data on 2550 participants from a cohort within the Environmental Polymorphisms Registry (EPR) at the National Institute of Environmental Health Sciences, and we successfully linked the exposure estimates with participant-level data derived from the EPR. We then conducted an exploratory, proof-of-concept analysis of the integrated data for a subset of participants with self-reported asthma and largely replicated our prior findings on the impact of select exposures and demographic factors on asthma exacerbations. Together, the three open exposures APIs provide a valuable resource, with application across environmental and public health fields.
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Vowles M, Kerry R, Ingram B, Mason L. Investigation of the Environmental and Socio-Economic Characteristics of Counties with a High Asthma Burden to Focus Asthma Action in Utah. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17145251. [PMID: 32708146 PMCID: PMC7400464 DOI: 10.3390/ijerph17145251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 07/07/2020] [Accepted: 07/16/2020] [Indexed: 11/17/2022]
Abstract
Rising adult asthma prevalence (AAP) rates and asthma emergency room (AER) visits constitute a large burden on public health in Utah (UT), a high-altitude state in the Great Basin Desert, USA. This warrants an investigation of the characteristics of the counties with the highest asthma burden within UT to improve allocation of health resources and for planning. The relations between several predictor environmental, health behavior and socio-economic variables and two health outcome variables, AAP and AER visits, were investigated for UT’s 29 counties. Non-parametric statistical comparison tests, correlation and linear regression analysis were used to determine the factors significantly associated with AER visits and AAP. Regression kriging with Utah small area data (USAD) as well as socio-economic and pollution data enabled local Moran’s I cluster analysis and the investigation of moving correlations between health outcomes and risk factors. Results showed the importance of desert/mining dust and socio-economic status as AAP and AER visits were greatest in the south of the state, highlighting a marked north–south divide in terms of these factors within the state. USAD investigations also showed marked differences in pollution and socio-economic status associated with AAP within the most populous northern counties. Policies and interventions need to address socio-economic inequalities within counties and between the north and south of the state. Fine (PM2.5) and coarse (PM10) particulate matter monitors should be installed in towns in central and southern UT to monitor air quality as these are sparse, but in the summer, air quality can be worse here. Further research into spatiotemporal variation in air quality within UT is needed to inform public health interventions such as expanding clean fuel programs and targeted land-use policies. Efforts are also needed to examine barriers to routine asthma care.
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Affiliation(s)
- Maureen Vowles
- Department of Public Health and Policy, University of Liverpool, Liverpool L69 3GB, UK
- Correspondence:
| | - Ruth Kerry
- Department of Geography, Brigham Young University, Provo, UT 84602, USA;
| | - Ben Ingram
- Faculty of Engineering, Universidad de Talca, Curicó 3460000, Chile;
| | - Linda Mason
- Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK;
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Wang B, Li R, Cai Y, Li B, Qin S, Zheng K, Zeng M, Xiao F, Zhang Z, Xu X. Alteration of DNA methylation induced by PM 2.5 in human bronchial epithelial cells. Toxicol Res (Camb) 2020; 9:552-560. [PMID: 32905279 PMCID: PMC7467236 DOI: 10.1093/toxres/tfaa061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 07/14/2020] [Accepted: 07/19/2020] [Indexed: 12/26/2022] Open
Abstract
This current study explored the effects of fine particulate matter (PM2.5) on deoxyribonucleic acid methylation in human bronchial epithelial cells. Human bronchial epithelial cells were exposed to PM2.5 for 24 h after which, deoxyribonucleic acid samples were extracted, and the differences between methylation sites were detected using methylation chips. Subsequent gene ontology functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed for the differential methylation sites. Functional epigenetic modules analysis of the overall differential methylation site interactions was also conducted. A total of 127 differential methylation sites in 89 genes were screened in the PM2.5 10 μg/ml group, of which 55 sites demonstrated increased methylation, with methylation levels decreasing in a further 72 sites. Following an exposure of 50 μg/ml PM2.5, a total of 238 differentially methylated sites were screened in 168 genes, of which methylation levels increased in 127 sites, and decreased in 111. KEGG analysis showed that the top 10 enrichment pathways predominantly involve hepatocellular carcinoma pathways and endometrial cancer pathways, whereas functional epigenetic modules analysis screened eight genes (A2M, IL23A, TPIP6, IL27, MYD88, ILE2B, NLRC4, TNF) with the most interactions. Our results indicate that exposure to PM2.5 for 24 h in human bronchial epithelial cells induces marked changes in deoxyribonucleic acid methylation of multiple genes involved in apoptosis and carcinogenesis pathways, these findings can provide a new direction for further study of PM2.5 carcinogenic biomarkers.
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Affiliation(s)
- Bingyu Wang
- Department of Environmental Toxicology, Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, 8 Longyuan Road, Shenzhen, Guangdong 518055, China
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
| | - Runbing Li
- Department of Environmental Toxicology, Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, 8 Longyuan Road, Shenzhen, Guangdong 518055, China
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
| | - Ying Cai
- Department of Environmental Toxicology, Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, 8 Longyuan Road, Shenzhen, Guangdong 518055, China
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
| | - Boru Li
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
- Department of Health Toxicology, Xiangya School of Public Health, Central South University, 238 Shangmayuanling Lane, Changsha, Hunan 410078, China
| | - Shuangjian Qin
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
- Department of Health Toxicology, Xiangya School of Public Health, Central South University, 238 Shangmayuanling Lane, Changsha, Hunan 410078, China
| | - Kai Zheng
- Department of Environmental Toxicology, Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, 8 Longyuan Road, Shenzhen, Guangdong 518055, China
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
| | - Ming Zeng
- Department of Health Toxicology, Xiangya School of Public Health, Central South University, 238 Shangmayuanling Lane, Changsha, Hunan 410078, China
| | - Fang Xiao
- Department of Health Toxicology, Xiangya School of Public Health, Central South University, 238 Shangmayuanling Lane, Changsha, Hunan 410078, China
| | - Zhaohui Zhang
- Department of Preventive Medicine, School of Public Health, University of South China, 28 Changsheng West Road, Hengyang, Hunan 421001, China
| | - Xinyun Xu
- Department of Environmental Toxicology, Institute of Environment and Health, Shenzhen Center for Disease Control and Prevention, 8 Longyuan Road, Shenzhen, Guangdong 518055, China
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48
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Brankston G, Greer AL, Marshall Q, Lang B, Moore K, Hodgins D, Hennessey JTG, Beeler-Marfisi J. Increased Weekly Mean PM 2.5, and NO 2 Are Associated With Increased Proportions of Lower Airway Granulocytes in Ontario Horses. Front Vet Sci 2020; 7:185. [PMID: 32432128 PMCID: PMC7214617 DOI: 10.3389/fvets.2020.00185] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 03/20/2020] [Indexed: 12/24/2022] Open
Abstract
Ambient pollution is associated with the development and exacerbation of human asthma, but whether air pollution exposure is associated with lower airway inflammation in horses has not been fully evaluated. The Air Quality Health Index (AQHI) is an online tool used by asthmatic Ontarians to modify their outdoor activity when ambient pollution is high. A single AQHI value, falling on a scale from 1 to 10+, is calculated from measurements of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3). Increased AQHI values predict an increased risk for presenting to a health care provider for assessment of asthma exacerbation, with a time lag of 0-9 days after an increase. Whether ambient air pollution is a risk factor for identifying increased lower airway inflammatory cells on cytologic evaluation of bronchoalveolar lavage fluid (BALF) of horses has not yet been explored. To investigate this relationship, case data including BALF cytology preparations from horses across southern Ontario, Canada, were retrieved from the Guelph Animal Health Laboratory's archives. Spanning the years 2007-2017, 154 cases were identified within a 41- by 30-km area surrounding the cities of Guelph and Kitchener. In 78 of 154 cases, cytologic reevaluation identified increased proportions of one or a combination of BALF neutrophils (mean 5%, range 0-15%), eosinophils (mean 2%, range 0-31%), and mast cells (mean 4%, range 0-10%). To assess the effect of lagged pollutant and temperature exposures in these 78 cases, weekly mean values of AQHI, PM2.5, NO2, O3, and temperature were recorded for the 4 weeks prior to the date of the horse's presentation for respiratory tract evaluation. The relationship between ambient exposures and increased proportions of lower airway granulocytes was evaluated using a case-crossover design. Single unit increases in 2-, and 3-week lagged weekly mean PM2.5 and NO2, were associated, respectively, with an 11% (p = 0.04, 95% confidence interval, CI = 1.01-1.22), and 24% (p = 0.03, 95% CI = 1.08-1.43) greater risk of identifying increased lower airway granulocytes. These findings suggest that exposure to increased ambient pollutants is associated with lower airway inflammation in Guelph and Kitchener area horses.
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Affiliation(s)
- Gabrielle Brankston
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Amy L Greer
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Quinn Marshall
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Brittany Lang
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Kai Moore
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Douglas Hodgins
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | | | - Janet Beeler-Marfisi
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
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49
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Szczesniak R, Rice JL, Brokamp C, Ryan P, Pestian T, Ni Y, Andrinopoulou ER, Keogh RH, Gecili E, Huang R, Clancy JP, Collaco JM. Influences of environmental exposures on individuals living with cystic fibrosis. Expert Rev Respir Med 2020; 14:737-748. [PMID: 32264725 DOI: 10.1080/17476348.2020.1753507] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
INTRODUCTION Natural, social, and constructed environments play a critical role in the development and exacerbation of respiratory diseases. However, less is known regarding the influence of these environmental/community risk factors on the health of individuals living with cystic fibrosis (CF), compared to other pulmonary disorders. AREAS COVERED Here, we review current knowledge of environmental exposures related to CF, which suggests that environmental/community risk factors do interact with the respiratory tract to affect outcomes. Studies discussed in this review were identified in PubMed between March 2019 and March 2020. Although the limited data available do not suggest that avoiding potentially detrimental exposures other than secondhand smoke could improve outcomes, additional research incorporating novel markers of environmental exposures and community characteristics obtained at localized levels is needed. EXPERT OPINION As we outline, some environmental exposures and community characteristics are modifiable; if not by the individual, then by policy. We recommend a variety of strategies to advance understanding of environmental influences on CF disease progression.
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Affiliation(s)
- Rhonda Szczesniak
- Division of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center , Cincinnati, OH, USA.,Department of Pediatrics, University of Cincinnati , Cincinnati, OH, USA
| | - Jessica L Rice
- Eudowood Division of Pediatric Respiratory Sciences, Department of Pediatrics, Johns Hopkins University School of Medicine , Baltimore, MD, USA
| | - Cole Brokamp
- Division of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center , Cincinnati, OH, USA.,Department of Pediatrics, University of Cincinnati , Cincinnati, OH, USA
| | - Patrick Ryan
- Division of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center , Cincinnati, OH, USA.,Department of Pediatrics, University of Cincinnati , Cincinnati, OH, USA
| | - Teresa Pestian
- Division of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center , Cincinnati, OH, USA
| | - Yizhao Ni
- Department of Pediatrics, University of Cincinnati , Cincinnati, OH, USA.,Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center , Cincinnati, OH, USA
| | | | - Ruth H Keogh
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine , London, UK
| | - Emrah Gecili
- Division of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center , Cincinnati, OH, USA
| | - Rui Huang
- Division of Biostatistics & Epidemiology, Cincinnati Children's Hospital Medical Center , Cincinnati, OH, USA.,Department of Mathematical Sciences, University of Cincinnati , Cincinnati, OH, USA
| | - John P Clancy
- Department of Pediatrics, University of Cincinnati , Cincinnati, OH, USA.,Department of Clinical Research, Cystic Fibrosis Foundation , Bethesda, MD, USA
| | - Joseph M Collaco
- Eudowood Division of Pediatric Respiratory Sciences, Department of Pediatrics, Johns Hopkins University School of Medicine , Baltimore, MD, USA
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50
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Xu H, Cox S, Stillwell L, Pfaff E, Champion J, Ahalt SC, Fecho K. FHIR PIT: an open software application for spatiotemporal integration of clinical data and environmental exposures data. BMC Med Inform Decis Mak 2020; 20:53. [PMID: 32160884 PMCID: PMC7066811 DOI: 10.1186/s12911-020-1056-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 02/17/2020] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are lacking. Such tools are needed to support research in environmental health and any biomedical field that is challenged by the need for integrated spatiotemporal data to examine individual-level determinants of health and disease. RESULTS We have developed an open-source software application-FHIR PIT (Health Level 7 Fast Healthcare Interoperability Resources Patient data Integration Tool)-to enable studies on the impact of individual-level environmental exposures on health and disease. FHIR PIT was motivated by the need to integrate patient data derived from our institution's clinical warehouse with a variety of public data sources on environmental exposures and then openly expose the data via ICEES (Integrated Clinical and Environmental Exposures Service). FHIR PIT consists of transformation steps or building blocks that can be chained together to form a transformation and integration workflow. Several transformation steps are generic and thus can be reused. As such, new types of data can be incorporated into the modular FHIR PIT pipeline by simply reusing generic steps or adding new ones. We validated FHIR PIT in the context of a driving use case designed to investigate the impact of airborne pollutant exposures on asthma. Specifically, we replicated published findings demonstrating racial disparities in the impact of airborne pollutants on asthma exacerbations. CONCLUSIONS While FHIR PIT was developed to support our driving use case on asthma, the software can be used to integrate any type and number of spatiotemporal data sources at a level of granularity that enables individual-level study. We expect FHIR PIT to facilitate research in environmental health and numerous other biomedical disciplines.
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Affiliation(s)
- Hao Xu
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27517, USA
| | - Steven Cox
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27517, USA
| | - Lisa Stillwell
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27517, USA
| | - Emily Pfaff
- North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599, USA
| | - James Champion
- North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599, USA
| | - Stanley C Ahalt
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27517, USA.,North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599, USA
| | - Karamarie Fecho
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27517, USA.
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