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Shen Q, Yu H, Liu Y, Li G, An T. Combined exposure of MAHs and PAHs enhanced amino acid and lipid metabolism disruption in epithelium leading asthma risk. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 343:123261. [PMID: 38159626 DOI: 10.1016/j.envpol.2023.123261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 12/16/2023] [Accepted: 12/28/2023] [Indexed: 01/03/2024]
Abstract
Monoaromatic hydrocarbons (MAHs) and polycyclic aromatic hydrocarbons (PAHs) are ubiquitous air pollutants from industry, with multiple adverse effects on respiratory system. However, the underlying mechanisms of their mixture to induce asthma is still unclear. Here, we examined mixture of 8 MAHs, mixture of 16 PAHs and a total mixture (MIX) on human bronchial epithelial (16-HBE) cells. Exposure to MIX resulted in increased expressions of asthma alarm cytokines (TSLP, IL-25 and IL-33), indicating potential asthma risk. Exposure to MIX led to significant upregulation of transcriptional level of oxidative stress and inflammation biomarkers through aryl hydrocarbon receptor activation, including SOD-2, NQO-1, IL-1β, IL-6 and IL-8 with 3.1, 19.9, 3.5, 23.4, 18.7, 28.1-fold change, indicated asthma related epithelial cell lesions. A total of 25, 49 and 59 differential metabolites were identified in cells response to MAH, PAH and MIX exposure, respectively, and enrichment analysis demonstrated MIX exposure disturbing alanine, aspartate and glutamate metabolism, glutathione metabolism, methionine metabolism and sphingolipid metabolism, involved in antioxidative defense and inflammation response. Combined exposure of MAHs and PAHs may result in increased toxic risks, and provide evidence to asthma onset and deterioration.
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Affiliation(s)
- Qianyong Shen
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, 510006, China; Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou, 510006, China
| | - Hang Yu
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, 510006, China; Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou, 510006, China
| | - Yalin Liu
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, 510006, China; Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou, 510006, China
| | - Guiying Li
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, 510006, China; Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou, 510006, China
| | - Taicheng An
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, 510006, China; Guangdong Engineering Technology Research Center for Photocatalytic Technology Integration and Equipment, Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou, 510006, China.
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Kim J, Chung SJ, Kim WJ. Biomarkers of the relationship of particulate matter exposure with the progression of chronic respiratory diseases. Korean J Intern Med 2024; 39:25-33. [PMID: 38225823 PMCID: PMC10790040 DOI: 10.3904/kjim.2023.393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/30/2023] [Accepted: 11/17/2023] [Indexed: 01/17/2024] Open
Abstract
A high level of particulate matter (PM) in air is correlated with the onset and development of chronic respiratory diseases. We conducted a systematic literature review, searching the MEDLINE, EMBASE, and Cochrane databases for studies of biomarkers of the effect of PM exposure on chronic respiratory diseases and the progression thereof. Thirty-eight articles on biomarkers of the progression of chronic respiratory diseases after exposure to PM were identified, four of which were eligible for review. Serum, sputum, urine, and exhaled breath condensate biomarkers of the effect of PM exposure on chronic obstructive pulmonary disease (COPD) and asthma had a variety of underlying mechanisms. We summarized the functions of biomarkers linked to COPD and asthma and their biological plausibility. We identified few biomarkers of PM exposure-related progression of chronic respiratory diseases. The included studies were restricted to those on biomarkers of the relationship of PM exposure with the progression of chronic respiratory diseases. The predictive power of biomarkers of the effect of PM exposure on chronic respiratory diseases varies according to the functions of the biomarkers.
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Affiliation(s)
- Junghyun Kim
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong,
Korea
| | - Soo Jie Chung
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong,
Korea
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University Hospital, Chuncheon,
Korea
- Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon,
Korea
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3
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Sarikloglou E, Fouzas S, Paraskakis E. Prediction of Asthma Exacerbations in Children. J Pers Med 2023; 14:20. [PMID: 38248721 PMCID: PMC10820562 DOI: 10.3390/jpm14010020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 12/17/2023] [Accepted: 12/20/2023] [Indexed: 01/23/2024] Open
Abstract
Asthma exacerbations are common in asthmatic children, even among those with good disease control. Asthma attacks result in the children and their parents missing school and work days; limit the patient's social and physical activities; and lead to emergency department visits, hospital admissions, or even fatal events. Thus, the prompt identification of asthmatic children at risk for exacerbation is crucial, as it may allow for proactive measures that could prevent these episodes. Children prone to asthma exacerbation are a heterogeneous group; various demographic factors such as younger age, ethnic group, low family income, clinical parameters (history of an exacerbation in the past 12 months, poor asthma control, poor adherence to treatment, comorbidities), Th2 inflammation, and environmental exposures (pollutants, stress, viral and bacterial pathogens) determine the risk of a future exacerbation and should be carefully considered. This paper aims to review the existing evidence regarding the predictors of asthma exacerbations in children and offer practical monitoring guidance for promptly recognizing patients at risk.
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Affiliation(s)
| | - Sotirios Fouzas
- Department of Pediatrics, University of Patras Medical School, 26504 Patras, Greece;
| | - Emmanouil Paraskakis
- Paediatric Respiratory Unit, Paediatric Department, University of Crete, 71500 Heraklion, Greece
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He L, Evans S, Norris C, Barkjohn K, Cui X, Li Z, Zhou X, Li F, Zhang Y, Black M, Bergin MH, Zhang J(J. Associations between personal apparent temperature exposures and asthma symptoms in children with asthma. PLoS One 2023; 18:e0293603. [PMID: 37956155 PMCID: PMC10642815 DOI: 10.1371/journal.pone.0293603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 10/16/2023] [Indexed: 11/15/2023] Open
Abstract
Ambient temperature and relative humidity can affect asthma symptoms. Apparent temperature is a measure of temperature perceived by humans that takes into account the effect of humidity. However, the potential link between personal exposures to apparent temperature and asthma symptoms has not been investigated. We conducted a panel study of 37 asthmatic children, aged 5-11 years, during an early spring season (average daily ambient temperature: 14°C, range: 7-18°C). Asthma symptoms were measured 4 times for each participant with a 2-week interval between consecutive measurements using the Childhood Asthma-Control Test (C-ACT). Average, minimum, and maximum personal apparent temperature exposures, apparent temperature exposure variability (TV), and average ambient temperature were calculated for the 12 hours, 24 hours, week, and 2 weeks prior to each visit. We found that a 10°C lower in 1-week and 2-week average & minimum personal apparent temperature exposures, TV, and average ambient temperature exposures were significantly associated with lower total C-ACT scores by up to 2.2, 1.4, 3.3, and 1.4 points, respectively, indicating worsened asthma symptoms. Our results support that personal apparent temperature exposure is potentially a stronger driver than ambient temperature exposures for the variability in asthma symptom scores. Maintaining a proper personal apparent temperature exposure could be an effective strategy for personalized asthma management.
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Affiliation(s)
- Linchen He
- Department of Community and Population Health, College of Health, Lehigh University, Bethlehem, Pennsylvania, United States of America
| | - Shoshana Evans
- Department of Community and Population Health, College of Health, Lehigh University, Bethlehem, Pennsylvania, United States of America
| | - Christina Norris
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Karoline Barkjohn
- Department of Civil and Environmental Engineering, Duke University, Durham, North Carolina, United States of America
- Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, North Carolina, United States of America
| | - Xiaoxing Cui
- Nicholas School of the Environment, Duke University, Durham, North Carolina, United States of America
| | - Zhen Li
- Department of Pediatrics, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaojian Zhou
- Department of Pediatrics, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Feng Li
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yinping Zhang
- Department of Building Science, Tsinghua University, Beijing, China
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Beijing, China
| | - Marilyn Black
- Underwriters Laboratories, Inc, Marietta, Georgia, United States of America
| | - Michael H. Bergin
- Department of Civil and Environmental Engineering, Duke University, Durham, North Carolina, United States of America
| | - Junfeng (Jim) Zhang
- Nicholas School of the Environment, Duke University, Durham, North Carolina, United States of America
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
- Duke Kunshan University, Kunshan, Jiangsu Province, China
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Huang K, Feng LF, Liu ZY, Li ZH, Mao YC, Wang XQ, Zhao JW, Zhang KD, Li YQ, Wang J, Yu WJ, Cheng X, Yang XY, Li J, Zhang XJ. The modification of meteorological factors on the relationship between air pollution and periodontal diseases: an exploration based on different interaction strategies. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:8187-8202. [PMID: 37552412 DOI: 10.1007/s10653-023-01705-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 07/18/2023] [Indexed: 08/09/2023]
Abstract
We aimed to characterize the association between air pollutants exposure and periodontal diseases outpatient visits and to explore the interactions between ambient air pollutants and meteorological factors. The outpatient visits data of several large stomatological and general hospitals in Hefei during 2015-2020 were collected to explore the relationship between daily air pollutants exposure and periodontal diseases by combining Poisson's generalized linear model (GLMs) and distributed lag nonlinear model (DLNMs). Subgroup analysis was performed to identify the vulnerability of different populations to air pollutants exposure. The interaction between air pollutants and meteorological factors was verified in both multiplicative and additive interaction models. An interquartile range (IQR) increased in nitrogen dioxide (NO2) concentration was associated with the greatest lag-specific relative risk (RR) of gingivitis at lag 3 days (RR = 1.087, 95% CI 1.008-1.173). Fine particulate matter (PM2.5) exposure also increased the risk of periodontitis at the day of exposure (RR = 1.049, 95% CI 1.004-1.096). Elderly patients with gingivitis and periodontitis were both vulnerable to PM2.5 exposure. The interaction analyses showed that exposure to high levels of NO2 at low temperatures was related to an increased risk of gingivitis, while exposure to high levels of NO2 and PM2.5 may also increase the risk of gingivitis and periodontitis in the high-humidity environment, respectively. This study supported that NO2 and PM2.5 exposure increased the risk of gingivitis and periodontitis outpatient visits, respectively. Besides, the adverse effects of air pollutants exposure on periodontal diseases may vary depending on ambient temperature and humidity.
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Affiliation(s)
- Kai Huang
- The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230032, China
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Lin-Fei Feng
- Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230032, China
| | - Zhe-Ye Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Zhen-Hua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Yi-Cheng Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Xin-Qiang Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Jia-Wen Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Kang-Di Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Ying-Qing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Jie Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Wen-Jie Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Xin Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Xi-Yao Yang
- The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230032, China
| | - Jiong Li
- College and Hospital of Stomatology, Key Laboratory of Oral Diseases Research of Anhui Province, Anhui Medical University, Hefei, 230032, China
| | - Xiu-Jun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
- College and Hospital of Stomatology, Key Laboratory of Oral Diseases Research of Anhui Province, Anhui Medical University, Hefei, 230032, China.
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Tian J, Wang X, Shi H, Wu H, Wang C, Liu N, Guan L, Zhang Z. Sestrin2/Keap1/Nrf2 pathway regulates mucus hypersecretion in pulmonary epithelium induced by traffic-related PM 2.5 and water-soluble extracts. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 264:115455. [PMID: 37708689 DOI: 10.1016/j.ecoenv.2023.115455] [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: 02/19/2023] [Revised: 08/18/2023] [Accepted: 09/05/2023] [Indexed: 09/16/2023]
Abstract
The involvement of fine particulate matter (PM2.5) exposure in the progression of asthma has been extensively discussed in epidemiological and experimental evidence, which aroused widespread attention. Asthma is characterized by mucus hypersecretion. This study investigates the underlying toxic mechanism of traffic-related PM2.5 (TRPM2.5) and water-soluble extracts (WSE) on mucus hypersecretion in the lungs of rats with asthma and 16HBE cells. The ovalbumin-induced rats were administrated by instillation of TRPM2.5 and WSE in the trachea once three days for eight times. The results showed that TRPM2.5 and WSE had an adverse impact on mucus secretion. Specifically, conspicuous mucus stains and increased goblet cells in the bronchial epithelium by PAS staining were found in lung tissues of rats with asthma; MUC5AC gene and protein expression levels in lung tissues of rats with asthma and 16HBE cells were elevated. In addition, TRPM2.5 and WSE triggered oxidative damage via upregulation of malondialdehyde and myeloperoxidase as well as activation of the Sestrin2/Keap1/Nrf2 signaling pathway. Conversely, the knockdown of Sestrin2 effectively inhibited TRPM2.5 and WSE-induced mucus hypersecretion, oxidative stress, and Keap1/Nrf2 signaling pathway and its downstream target gene NQO1. Collectively, it was demonstrated that TRPM2.5 and WSE induced mucus hypersecretion mediated by the Sestrin2/Keap1/Nrf2 pathway.
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Affiliation(s)
- Jiayu Tian
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China
| | - Xin Wang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Yantai Center for Disease Control and Prevention, 264003 Yantai, Shandong, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China
| | - Hao Shi
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China
| | - Hongyan Wu
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China
| | - Caihong Wang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China
| | - Nannan Liu
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China
| | - Linlin Guan
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China
| | - Zhihong Zhang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China.
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Li W, Zong X, He YS, Meng T, Tang Y, Yang Q, Huang Q, Wang Y, Li S, Pan HF. Association between short-term exposure to ambient air pollution and outpatient visits for pulpitis in Hefei, China: a time series study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-28095-7. [PMID: 37273044 DOI: 10.1007/s11356-023-28095-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 05/30/2023] [Indexed: 06/06/2023]
Abstract
Evidence suggests a possible association between ambient air pollutants and oral diseases. Nevertheless, information regarding the relationship between air pollutants and pulpitis is scarce and inconclusive. In view of this, the present study aimed to investigate the relationship between short-term exposure to air pollution and outpatient visits for pulpitis. Daily data on outpatient visits for pulpitis, air pollutants, and meteorological data in Hefei, China, was collected from January 1, 2015 to December 31, 2021. The association between exposure to air pollutants and pulpitis outpatient visits was evaluated using distributed lag non-linear model (DLNM) and a generalized linear model (GLM). Furthermore, stratified analyses were performed by gender, age and season. A total of 93,324 records of outpatient visits for pulpitis were included in this study. The results showed that exposure to NO2, PM2.5, and CO were positively correlated with an increased risk of pulpitis outpatient visits. Each 10 μg/m3 increase in NO2 and PM2.5 concentration, at lag 0-2 day, was associated with a 2.4% (relative risk (RR) = 1.024, 95% confidence interval (CI): 1.014-1.035) and 0.5% (RR = 1.005, 95% CI: 1.000-1.010) increase in pulpitis outpatient visits, respectively. With a 1 mg/m3 increase in CO concentration, the risk of pulpitis outpatient visits increased by 9.1% (RR = 1.091, 95% CI: 1.031-1.154, lag 0-1 day). Intriguingly, exposure to O3 was associated with a decreased risk of pulpitis outpatient visits (RR = 0.990, 95% CI: 0.984-0.995, lag 0-5 day). Subgroup analysis revealed that in the warm season, exposure to PM2.5, O3, and CO was related with a significantly higher outpatient risk of pulpitis than in the cold season. Additionally, the influence of PM2.5 and CO exposure at age < 65 years was significantly stronger than at age ≥ 65 years. In conclusion, exposure to ambient NO2, PM2.5, and CO is associated with an increase in pulpitis outpatient visits in Hefei, China. Conversely, exposure to O3 reduces the risk of outpatient visits for pulpitis. Age and season are effect modifiers of these associations.
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Affiliation(s)
- Wuli Li
- College & Hospital of Stomatology, Anhui Medical University, Key Lab. of Oral Diseases Research of Anhui Province, Hefei, 230032, China
| | - Xirun Zong
- College & Hospital of Stomatology, Anhui Medical University, Key Lab. of Oral Diseases Research of Anhui Province, Hefei, 230032, China
| | - Yi-Sheng He
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Tiantian Meng
- College & Hospital of Stomatology, Anhui Medical University, Key Lab. of Oral Diseases Research of Anhui Province, Hefei, 230032, China
| | - Ying Tang
- College & Hospital of Stomatology, Anhui Medical University, Key Lab. of Oral Diseases Research of Anhui Province, Hefei, 230032, China
| | - Qi Yang
- College & Hospital of Stomatology, Anhui Medical University, Key Lab. of Oral Diseases Research of Anhui Province, Hefei, 230032, China
| | - Qing Huang
- Department of Oral and Maxillofacial Surgery, Hefei Second People's Hospital, Hefei, 230011, China
| | - Yuanyin Wang
- College & Hospital of Stomatology, Anhui Medical University, Key Lab. of Oral Diseases Research of Anhui Province, Hefei, 230032, China
| | - Song Li
- College & Hospital of Stomatology, Anhui Medical University, Key Lab. of Oral Diseases Research of Anhui Province, Hefei, 230032, China
| | - Hai-Feng Pan
- College & Hospital of Stomatology, Anhui Medical University, Key Lab. of Oral Diseases Research of Anhui Province, Hefei, 230032, China.
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, China.
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