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Buthelezi MS, Mentz G, Wright CY, Phaswana S, Garland RM, Naidoo RN. Short-term, lagged association of airway inflammation, lung function, and asthma symptom score with PM 2.5 exposure among schoolchildren within a high air pollution region in South Africa. Environ Epidemiol 2024; 8:e354. [PMID: 39483641 PMCID: PMC11527423 DOI: 10.1097/ee9.0000000000000354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 10/08/2024] [Indexed: 11/03/2024] Open
Abstract
Background Asthma affects millions of people globally, and high levels of air pollution aggravate asthma occurrence. This study aimed to determine the association between short-term lagged PM2.5 exposure and airway inflammation, lung function, and asthma symptom scores among schoolchildren in communities in the Highveld high-pollution region in South Africa. Methods A cross-sectional study was conducted among schoolchildren aged 9-14 years in six communities in the Highveld region in South Africa, between October 2018 and February 2019. A NIOX 200 instrument was used to measure fractional exhaled nitric oxide (FeNO). Lung function indices (forced expiratory volume in one second [FEV1]; forced vital capacity [FVC] and FEV1/FVC) were collected using spirometry and the percent of predicted of these was based on the reference equations from the Global Lung Initiative, without ethnic correction. These values were further analyzed as binary outcomes following relevant thresholds (lower limits of normal for lung function and a cutoff of 35 ppb for FeNO). Asthma symptoms were used to create the asthma symptom score. Daily averages of PM2.5 data for the nearest monitoring station located in each community, were collected from the South African Air Quality Information System and created short-term 5-day lag PM2.5 concentrations. Additional reported environmental exposures were collected using standardized instruments. Results Of the 706 participating schoolchildren, only 1.13% of the participants had doctor-diagnosed asthma, compared to a prevalence of 6.94% with an asthma symptom score suggestive of asthma. Lag 1 (odds ratio [OR]: 1.01; 95% confidence interval [CI]: 1.00, 1.02, P = 0.039) and 5-day average lagged PM2.5 (OR: 1.02; 95% CI: 0.99, 1.04, P = 0.050) showed increased odds of the FeNO > 35 ppb. Lung function parameters (FEV1 < lower limit of normal [LLN] [OR: 1.02, 95% CI: 1.00, 1.03, P = 0.018], and FEV1/FVC < LLN [OR: 1.01; 95% CI: 1.00, 1.02, P < 0.001]) and asthma symptom score ≥ 2 (OR: 1.02; 95% CI: 1.00, 1.04, P = 0.039) also showed significant associations with lag 2, lag 4 and lag 1 of PM2.5, respectively. Conclusion Lagged PM2.5 exposure was associated with an increased odds of airway inflammation and an increased odds of lung function parameters below the LLN particularly for the later lags, but a significant dose-response relationship across the entire sample was not consistent.
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Affiliation(s)
- Minenhle S. Buthelezi
- Discipline of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Graciela Mentz
- Anesthesiology Department, Medical School, University of Michigan, Ann Arbor, Michigan
| | - Caradee Y. Wright
- Environment and Health Research Unit, South African Medical Research Council, Pretoria, South Africa
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa
| | - Shumani Phaswana
- Discipline of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Rebecca M. Garland
- Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa
- Smart Places, Council for Scientific and Industrial Research, Pretoria, South Africa
| | - Rajen N. Naidoo
- Discipline of Occupational and Environmental Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
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Fu Y, Jia W, Zhang N, Wang Z, Zhang N, Wang T, Zhang N, Xu J, Yang X, Zhang Q, Li C, Zhang X, Yang W, Han B, Zhang L, Tang N, Bai Z. Sources, trigger points, and effect size of associations between PM 2.5-bound polycyclic aromatic hydrocarbons (PAHs) and fractional exhaled nitric oxide (FeNO): A panel study with 16 follow-up visits over 4 years. CHEMOSPHERE 2024; 360:142459. [PMID: 38810807 DOI: 10.1016/j.chemosphere.2024.142459] [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: 10/17/2023] [Revised: 05/03/2024] [Accepted: 05/25/2024] [Indexed: 05/31/2024]
Abstract
Exposure to fine particulate matter (PM2.5) is a significant concern for respiratory health. However, the sources, trigger points, and effect size of specific associations between PM2.5 components, particularly polycyclic aromatic hydrocarbons (PAHs) and the airway inflammatory marker fractional exhaled nitric oxide (FeNO) have not been fully explored. In this study, 69 healthy college students were enrolled and followed up 16 times from 2014 to 2018. Individual FeNO was measured and ambient air PM2.5 samples were collected for 7 consecutive days before each follow-up. PAHs were quantified using Gas Chromatography-Mass Spectrometry. Linear mixed-effect regression models were employed to evaluate the associations between PM2.5-bound PAHs and FeNO. Additionally, PMF (Positive Matrix Factorization) was utilized to identify sources of PM2.5-bound PAHs and assess their impact on FeNO. Throughout the study, the average (SD) of ΣPAHs concentrations was 78.50 (128.9) ng/m3. PM2.5 and PM2.5-bound PAHs were significantly associated with FeNO at various lag days. Single-day lag analyses revealed maximum effects of PM2.5 on FeNO, with an increase of 7.71% (95% CI: 4.67%, 10.83%) per interquartile range (IQR) (48.10 μg/m3) increase of PM2.5 at lag2, and ΣPAHs showed a maximum elevation in FeNO of 6.40% (95% CI: 2.33%, 10.63%) at lag4 per IQR (57.39 ng/m3) increase. Individual PAHs exhibited diversity peak effects on FeNO at lag3 (6 of 17), lag4 (9 of 17) in the single-day model, and lag0-5 (8 of 17) (from lag0-1 to lag0-6) in the cumulative model. Source apportionment indicated coal combustion as the primary contributor (accounting for 30.7%). However, a maximum effect on FeNO (an increase of 21.57% (95% CI: 13.58%, 30.13%) per IQR increase) was observed with traffic emissions at lag4. The findings imply that strategic regulation of particular sources of PAHs, like traffic emissions, during specific periods could significantly contribute to safeguarding public health.
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Affiliation(s)
- Yucong Fu
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Wenhui Jia
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China; Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Ningyu Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Zhiyu Wang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Nan Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Tong Wang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Nan Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Jia Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Qiang Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Changping Li
- Epidemiology and Biostatistics Institute, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Xumei Zhang
- Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China; Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Wen Yang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Liwen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China.
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, 300070, China
| | - Zhipeng Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
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Lei J, Liu C, Meng X, Sun Y, Huang S, Zhu Y, Gao Y, Shi S, Zhou L, Luo H, Kan H, Chen R. Associations between fine particulate air pollution with small-airway inflammation: A nationwide analysis in 122 Chinese cities. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 344:123330. [PMID: 38199484 DOI: 10.1016/j.envpol.2024.123330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 11/24/2023] [Accepted: 01/06/2024] [Indexed: 01/12/2024]
Abstract
Alveolar nitric oxide is a non-invasive indicator of small-airway inflammation, a key pathophysiologic mechanism underlying lower respiratory diseases. However, no epidemiological studies have investigated the impact of fine particulate matter (PM2.5) exposure on the concentration of alveolar nitric oxide (CANO). To explore the associations between PM2.5 exposure in multiple periods and CANO, we conducted a nationwide cross-sectional study in 122 Chinese cities between 2019 and 2021. Utilizing a satellite-based model with a spatial resolution of 1 × 1 km, we matched long-term, mid-term, and short-term PM2.5 exposure for 28,399 individuals based on their home addresses. Multivariable linear regression models were applied to estimate the associations between PM2.5 at multiple exposure windows and CANO. Stratified analyses were also performed to identify potentially vulnerable subgroups. We found that per interquartile range (IQR) unit higher in 1-year average, 1-month average, and 7-day average PM2.5 concentration was significantly associated with increments of 17.78% [95% confidence interval (95%CI): 12.54%, 23.26%], 8.76% (95%CI: 7.35%, 10.19%), and 4.00% (95%CI: 2.81%, 5.20%) increment in CANO, respectively. The exposure-response relationship curves consistently increased with the slope becoming statistically significant beyond 20 μg/m3. Males, children, smokers, individuals with respiratory symptoms or using inhaled corticosteroids, and those living in Southern China were more vulnerable to PM2.5 exposure. In conclusion, our study provided novel evidence that PM2.5 exposure in long-term, mid-term, and short-term periods could significantly elevate small-airway inflammation represented by CANO. Our results highlight the significance of CANO measurement as a non-invasive tool for early screening in the management of PM2.5-related inflammatory respiratory diseases.
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Affiliation(s)
- Jian Lei
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China; Department of Occupational and Environmental Health, Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Yiqing Sun
- Eberly College of Science, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Suijie Huang
- Guangzhou Homesun Medical Technology Co., Ltd, Guangdong, 518040, China
| | - Yixiang Zhu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Ya Gao
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Lu Zhou
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Huihuan Luo
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
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4
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Percival E, Collison AM, da Silva Sena CR, De Queiroz Andrade E, De Gouveia Belinelo P, Gomes GMC, Oldmeadow C, Murphy VE, Gibson PG, Karmaus W, Mattes J. The association of exhaled nitric oxide with air pollutants in young infants of asthmatic mothers. Environ Health 2023; 22:84. [PMID: 38049853 PMCID: PMC10696885 DOI: 10.1186/s12940-023-01030-6] [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: 05/03/2023] [Accepted: 11/08/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Exhaled nitric oxide is a marker of airway inflammation. Air pollution induces airway inflammation and oxidative stress. Little is known about the impact of air pollution on exhaled nitric oxide in young infants. METHODS The Breathing for Life Trial recruited pregnant women with asthma into a randomised controlled trial comparing usual clinical care versus inflammometry-guided asthma management in pregnancy. Four hundred fifty-seven infants from the Breathing for Life Trial birth cohort were assessed at six weeks of age. Exhaled nitric oxide was measured in unsedated, sleeping infants. Its association with local mean 24-h and mean seven-day concentrations of ozone, nitric oxide, nitrogen dioxide, carbon monoxide, sulfur dioxide, ammonia, particulate matter less than 10 μm (PM10) and less than 2.5 μm (PM2.5) in diameter was investigated. The air pollutant data were sourced from local monitoring sites of the New South Wales Air Quality Monitoring Network. The association was assessed using a 'least absolute shrinkage and selection operator' (LASSO) approach, multivariable regression and Spearman's rank correlation. RESULTS A seasonal variation was evident with higher median exhaled nitric oxide levels (13.6 ppb) in warmer months and lower median exhaled nitric oxide levels (11.0 ppb) in cooler months, P = 0.008. LASSO identified positive associations for exhaled nitric oxide with 24-h mean ammonia, seven-day mean ammonia, seven-day mean PM10, seven-day mean PM2.5, and seven-day mean ozone; and negative associations for eNO with seven-day mean carbon monoxide, 24-h mean nitric oxide and 24-h mean sulfur dioxide, with an R-square of 0.25 for the penalized coefficients. These coefficients selected by LASSO (and confounders) were entered in multivariable regression. The achieved R-square was 0.27. CONCLUSION In this cohort of young infants of asthmatic mothers, exhaled nitric oxide showed seasonal variation and an association with local air pollution concentrations.
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Affiliation(s)
- Elizabeth Percival
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Adam M Collison
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Carla Rebeca da Silva Sena
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Ediane De Queiroz Andrade
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Patricia De Gouveia Belinelo
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Gabriela Martins Costa Gomes
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | | | - Vanessa E Murphy
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Peter G Gibson
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
- Department of Respiratory and Sleep Medicine, John Hunter Hospital, Newcastle, NSW, Australia
| | - Wilfried Karmaus
- Division of Epidemiology, School of Public Health, and Environmental Health Science, University of Memphis, BiostatisticsMemphis, TN, 38152, USA
| | - Joerg Mattes
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia.
- Department of Paediatric Respiratory & Sleep Medicine, John Hunter Children's Hospital, Newcastle, NSW, Australia.
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5
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Zhang H, Liu R, Yang L, Cheng H, Wang S, Zhang B, Shao J, Ma S, Norbäck D, Zhang X, An T. Exposure to polycyclic aromatic hydrocarbons (PAHs) in outdoor air and respiratory health, inflammation and oxidative stress biomarkers: A panel study in healthy young adults. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 899:165582. [PMID: 37467979 DOI: 10.1016/j.scitotenv.2023.165582] [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: 05/26/2023] [Revised: 07/08/2023] [Accepted: 07/15/2023] [Indexed: 07/21/2023]
Abstract
Exposure to polycyclic aromatic hydrocarbons (PAHs) can be associated with different types of health effects. However, the systemic changes of health effects between fluctuations of PAHs exposure have not been established. In this study, urinary hydroxylated PAHs (OH-PAHs) and 12 biomarkers were determined among 36 students from the urban to the suburb in Taiyuan in 2019. The concentration of Σ12OH-PAHs in urban areas (28.2 and 21.4 μg/g Cr) was significantly higher than that in suburban area (16.8 μg/g Cr). The regression showed that hydroxy-phenanthrene (OH-Phe, 1/2/3/4/9-OH-Phe) was significantly positively correlated with lung function (PEF25 and PEF50), 8-hydroxydeoxyguanosine (8-OHdG), interleukin-8 (IL-8), and fractional exhaled nitric oxide (FeNO). Moreover, there were negative associations of 2-hydroxyfluorene (2-OH-Flu) with FVC and FEV1. 1 unit increase of 1-hydroxypyrene (1-OH-Pyr) was negatively associated with 18.8% FVC, 17.3% FEV1, and 26.4% PEF25 in the suburban location, respectively. During urban2, each unit change of 2-OH-Flu was associated with 10.9% FVC and 10.5% FEV1 decrease, which were higher than those in suburban location. 8-OHdG decreased by 32.0% with each unit increase in 3-hydroxyfluorene (3-OH-Flu) during urban2 (p < 0.05), while 1.9% in the suburban location. During the suburban period, the increase in OH-Phe was correlated with the decrease in malondialdehyde (MDA). The respiratory damage caused by PAHs in the urban disappeared after backing to the urban from the suburban area. Notably, despite the total significant liner mixed regression association of FeNO with multiple OH-PAHs, the association of FeNO with OH-PAHs was not significant during different periods except for 2-OH-Flu. Our findings suggested that short-term exposure to different concentrations of PAHs might cause changes in health effects and called for further research to investigate possible alterations between health effects and PAH exposure.
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Affiliation(s)
- Huilin Zhang
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, China
| | - Ranran Liu
- Shandong Academy of Occupational Health and Occupational Medicine, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan 250062, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China
| | - Liu Yang
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, China
| | - Hong Cheng
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, China
| | - Shengchun Wang
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, China
| | - Bin Zhang
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, China
| | - Jiyuan Shao
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, China
| | - Shengtao Ma
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China
| | - Dan Norbäck
- Department of Medical Sciences, Uppsala University, Uppsala SE-751, Sweden
| | - Xin Zhang
- Institute of Environmental Science, Shanxi University, Taiyuan 030006, China.
| | - Taicheng An
- Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China
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Areal AT, Singh N, Zhao Q, Berdel D, Koletzko S, von Berg A, Gappa M, Heinrich J, Standl M, Abramson MJ, Schikowski T. The Influence of Short-Term Weather Parameters and Air Pollution on Adolescent Airway Inflammation. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6827. [PMID: 37835097 PMCID: PMC10572171 DOI: 10.3390/ijerph20196827] [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: 07/11/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 10/15/2023]
Abstract
Fraction of exhaled Nitric Oxide (FeNO) is a marker of airway inflammation. We examined the main effects and interactions of relative humidity (RH) and air pollution on adolescents' FeNO. Two thousand and forty-two participants from the 15-year follow-up of the German GINIplus and LISA birth cohorts were included. Daily meteorological (maximum [Tmax], minimum [Tmin] and mean [Tmean] temperatures and RH) and air pollution [Ozone (O3), nitrogen dioxide (NO2) and particulate matter < 2.5 µm (PM2.5)] were assessed. Linear models were fitted with Ln(FeNO) as the outcome. Increases in FeNO indicate an increase in lung inflammation. Increased FeNO was associated with an increase in temperature, PM2.5, O3 and NO2. A 5% increase in RH was associated with a decrease in FeNO. Interactions between RH and high (p = 0.007) and medium (p = 0.050) NO2 were associated with increases in FeNO; while interactions between RH and high (p = 0.042) and medium (p = 0.040) O3 were associated with decreases in FeNO. Adverse effects were present for male participants, participants with low SES, participants with chronic respiratory disease, and participants from Wesel. Short-term weather and air pollution have an effect on lung inflammation in German adolescents. Future research should focus on further assessing the short-term effect of multiple exposures on lung inflammation in adolescents.
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Affiliation(s)
- Ashtyn Tracey Areal
- IUF—Leibniz Research Institute for Environmental Medicine, 40225 Düsseldorf, Germany; (A.T.A.); (N.S.); (Q.Z.)
- Department of Epidemiology, Medical Research School, Heinrich-Heine-University, 40225 Düsseldorf, Germany
| | - Nidhi Singh
- IUF—Leibniz Research Institute for Environmental Medicine, 40225 Düsseldorf, Germany; (A.T.A.); (N.S.); (Q.Z.)
| | - Qi Zhao
- IUF—Leibniz Research Institute for Environmental Medicine, 40225 Düsseldorf, Germany; (A.T.A.); (N.S.); (Q.Z.)
- School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250100, China
| | - Dietrich Berdel
- Department of Pediatrics, Research Institute, Marien-Hospital Wesel, 46483 Wesel, Germany; (D.B.); (A.v.B.)
| | - Sibylle Koletzko
- Department of Pediatrics, Dr. von Hauner Children’s Hospital Munich, University Hospital, LMU Munich, 80539 Munich, Germany;
- Department of Pediatrics, Gastroenterology and Nutrition, School of Medicine Collegium Medicum, University of Warmia and Mazury, 10-082 Olsztyn, Poland
| | - Andrea von Berg
- Department of Pediatrics, Research Institute, Marien-Hospital Wesel, 46483 Wesel, Germany; (D.B.); (A.v.B.)
| | - Monika Gappa
- Department of Paediatrics, Evangelisches Krankenhaus, 40217 Düsseldorf, Germany;
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80539 Munich, Germany;
- German Center for Lung Research (DZL), 35392 Gießen, Germany;
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Marie Standl
- German Center for Lung Research (DZL), 35392 Gießen, Germany;
- Institute of Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Michael J. Abramson
- School of Public Health & Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia;
| | - Tamara Schikowski
- IUF—Leibniz Research Institute for Environmental Medicine, 40225 Düsseldorf, Germany; (A.T.A.); (N.S.); (Q.Z.)
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7
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Lin Z, Yang L, Chen P, Wei T, Zhang J, Wang Y, Gao L, Zhang C, Zhao L, Wang Q, Wang H, Xu D. Short-term effects of personal exposure to temperature variability on cardiorespiratory health based on subclinical non-invasive biomarkers. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 843:157000. [PMID: 35777570 DOI: 10.1016/j.scitotenv.2022.157000] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 06/15/2022] [Accepted: 06/23/2022] [Indexed: 06/15/2023]
Abstract
Growing literatures have explored the cardiorespiratory health effects of the daily temperature, but such effects of temperature variability remain unclear. We investigated the acute associations of personal levels of temperature variability with cardiorespiratory biomarkers. This is a panel study with four repeated measurements among forty eligible college students in Hefei, Anhui Province, China. We collected personal-level temperature data using temperature/humidity data loggers. Temperature variability parameters included diurnal temperature range (DTR), the standard-deviation of temperature (SDT) and temperature variability (TV). Cardiorespiratory health indicators included three BP parameters [systolic BP (SBP), diastolic BP (DBP) and mean article pressure (MAP)], fractional exhaled nitric oxide (FeNO), and four saliva biomarkers [C-reactive protein (CRP), cortisol, alpha-amylase and lysozyme]. Linear mixed-effect models were then used to assess the associations of temperature variability with these cardiorespiratory biomarkers. We found that short-term exposure to the three temperature variability parameters was associated with these cardiorespiratory biomarkers. The magnitude, direction and significance of these associations varied by temperature variability parameters, by biomarkers and by lags of exposure. Specifically, temperature variability parameters were inversely associated with BP and saliva lysozyme; positively associated with airway inflammation biomarkers (FeNO and saliva CRP) and stress response biomarkers (saliva cortisol and alpha-amylase). The results were robust to further control for air pollutants, and these associations were more prominent in females and in subjects with abnormal body mass index. Our findings suggested that acute exposure to temperature variability could significantly alter cardiorespiratory biomarker profiles among healthy young adults in China.
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Affiliation(s)
- Zhijing Lin
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China.
| | - Liyan Yang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Ping Chen
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Tian Wei
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Jun Zhang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Yan Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Lan Gao
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Cheng Zhang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Lingli Zhao
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Qunan Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Hua Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China
| | - Dexiang Xu
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei 230032, China.
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