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Bai S, Zhang J, Cui L, Du S, Lin S, Liang Y, Liu Y, Wang Z. The joint effect of cumulative doses for outdoor air pollutants exposure in early life on asthma and wheezing among young children. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 273:116097. [PMID: 38367605 DOI: 10.1016/j.ecoenv.2024.116097] [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: 09/14/2023] [Revised: 02/06/2024] [Accepted: 02/08/2024] [Indexed: 02/19/2024]
Abstract
BACKGROUND Constrained by no proper way to assess cumulative exposure, the joint effect of air pollution cumulative exposure doses on childhood asthma and wheezing (AW) was not understood. OBJECTIVE To assess the association between cumulative exposure to multiple air pollutants in early life and childhood AW. METHODS We designed a nested case-control study based on the birth cohort in Jinan City. Children with AW followed up within 2 years after birth were treated as cases, and non-cases in this cohort were treated as the control source population, and the propensity score matching method was used to match each case to 5 controls. We calculated the individual cumulative outdoor exposure doses for each period using an inverse distance weighted model, alongside the complex Simpson's formula, accounting for outdoor time and respiratory volume. The Least absolute shrinkage and selection operator (Lasso) regression was performed to screen for covariates. To analyze the joint effects of pollutants, we employed the weighted quantile sum (WQS) regression model in conjunction with conditional logistic regression. RESULTS 84 cases and 420 controls were included in this study. The odds ratio (OR) with 95% confidence interval (CI) of the impact of cumulative exposure (mg/m3) after birth on childhood AW was 1.78 (1.15-2.74) for SO2, 1.69 (1.11-2.57) for NO2, and 1.65 (1.09-2.52) for PM2.5, respectively. Furthermore, with each 25th percentile increase in the WQS index, the overall risk of cumulative doses for six pollutants exposure after birth on AW increased by an adjusted OR of 1.10 (1.03, 1.18), and SO2, PM2.5, and NO2 contributed the most to the WQS index. However, no statistically significant association was found between cumulative exposure to all pollutants before birth and childhood AW. CONCLUSIONS There was a joint effect of the cumulative exposure dose of outdoor air pollutants after birth on AW in children aged 0-2 years. And traffic-related pollutants (SO2, PM2.5, and NO2) make a greater contribution to the joint effect.
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Affiliation(s)
- Shuoxin Bai
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Qilu Hospital of Shandong University, Jinan, Shandong, 250012, PR China
| | - Jiatao Zhang
- Department of Occupational and Environmental Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China
| | - Liangliang Cui
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, PR China; Jinan Mental Health Center, Jinan, Shandong, P.R. China
| | - Shuang Du
- Department of Occupational and Environmental Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China; Department of Environmental Health, Fudan University, Shanghai, PR China
| | - Shaoqian Lin
- Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, PR China
| | - Yuxiu Liang
- Department of Occupational and Environmental Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China
| | - Yi Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China.
| | - Zhiping Wang
- Department of Occupational and Environmental Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China.
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Rojas GA, Saavedra N, Morales C, Saavedra K, Lanas F, Salazar LA. Modulation of the Cardiovascular Effects of Polycyclic Aromatic Hydrocarbons: Physical Exercise as a Protective Strategy. TOXICS 2023; 11:844. [PMID: 37888695 PMCID: PMC10610936 DOI: 10.3390/toxics11100844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 09/30/2023] [Accepted: 09/30/2023] [Indexed: 10/28/2023]
Abstract
Exposure to polycyclic aromatic hydrocarbons (PAHs) present in air pollution increases cardiovascular risk. On the contrary, physical exercise is a widely used therapeutic approach to mitigate cardiovascular risk, but its efficacy in an environment of air pollution, particularly with PAHs, remains unclear. This study investigates the effects of exercise on inflammation, endothelial dysfunction, and REDOX imbalance due to PAH exposure using a mouse model. Twenty male BALB/c mice were subjected to a mixture of PAHs (phenanthrene, fluoranthene, pyrene) in conjunction with aerobic exercise. The investigation evaluated serum levels of inflammatory cytokines, gene expression linked to inflammatory markers, endothelial dysfunction, and REDOX imbalance in aortic tissues. Furthermore, the study evaluated the expression of the ICAM-1 and VCAM-1 proteins. Exercise led to notable changes in serum inflammatory cytokines, as well as the modulation of genes associated with endothelial dysfunction and REDOX imbalance in aortic tissue. In turn, exercise produced a modulation in the protein expression of ICAM-1 and VCAM-1. The findings implicate the potential of exercise to counter PAH-induced damage, as demonstrated by changes in markers. In conclusion, exercise could mitigate the adverse effects related to exposure to PAHs present in air pollution, as evidenced by changes in inflammatory markers, endothelial dysfunction, and REDOX imbalance.
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Affiliation(s)
- Gabriel A. Rojas
- Center of Molecular Biology & Pharmacogenetics, Department of Basic Sciences, Scientific and Technological Bioresource Nucleus (BIOREN), Universidad de La Frontera, Temuco 4811230, Chile or (G.A.R.); (N.S.); (C.M.); (K.S.)
- PhD Program in Applied Cellular and Molecular Biology, Universidad de La Frontera, Temuco 4811230, Chile
- Escuela Kinesiología, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Talca 3460000, Chile
| | - Nicolás Saavedra
- Center of Molecular Biology & Pharmacogenetics, Department of Basic Sciences, Scientific and Technological Bioresource Nucleus (BIOREN), Universidad de La Frontera, Temuco 4811230, Chile or (G.A.R.); (N.S.); (C.M.); (K.S.)
| | - Cristian Morales
- Center of Molecular Biology & Pharmacogenetics, Department of Basic Sciences, Scientific and Technological Bioresource Nucleus (BIOREN), Universidad de La Frontera, Temuco 4811230, Chile or (G.A.R.); (N.S.); (C.M.); (K.S.)
- PhD Program in Applied Cellular and Molecular Biology, Universidad de La Frontera, Temuco 4811230, Chile
- Tecnología Médica, Facultad de Salud, Universidad Santo Tomás, Temuco 4811230, Chile
| | - Kathleen Saavedra
- Center of Molecular Biology & Pharmacogenetics, Department of Basic Sciences, Scientific and Technological Bioresource Nucleus (BIOREN), Universidad de La Frontera, Temuco 4811230, Chile or (G.A.R.); (N.S.); (C.M.); (K.S.)
| | - Fernando Lanas
- Department of Internal Medicine, Faculty of Medicine, Universidad de La Frontera, Temuco 4811230, Chile;
| | - Luis A. Salazar
- Center of Molecular Biology & Pharmacogenetics, Department of Basic Sciences, Scientific and Technological Bioresource Nucleus (BIOREN), Universidad de La Frontera, Temuco 4811230, Chile or (G.A.R.); (N.S.); (C.M.); (K.S.)
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Croft DP, Burton DS, Nagel DJ, Bhattacharya S, Falsey AR, Georas SN, Hopke PK, Johnston CJ, Kottmann RM, Litonjua AA, Mariani TJ, Rich DQ, Thevenet-Morrison K, Thurston SW, Utell MJ, McCall MN. The effect of air pollution on the transcriptomics of the immune response to respiratory infection. Sci Rep 2021; 11:19436. [PMID: 34593881 PMCID: PMC8484285 DOI: 10.1038/s41598-021-98729-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 09/13/2021] [Indexed: 12/24/2022] Open
Abstract
Combustion related particulate matter air pollution (PM) is associated with an increased risk of respiratory infections in adults. The exact mechanism underlying this association has not been determined. We hypothesized that increased concentrations of combustion related PM would result in dysregulation of the innate immune system. This epidemiological study includes 111 adult patients hospitalized with respiratory infections who underwent transcriptional analysis of their peripheral blood. We examined the association between gene expression at the time of hospitalization and ambient measurements of particulate air pollutants in the 28 days prior to hospitalization. For each pollutant and time lag, gene-specific linear models adjusting for infection type were fit using LIMMA (Linear Models For Microarray Data), and pathway/gene set analyses were performed using the CAMERA (Correlation Adjusted Mean Rank) program. Comparing patients with viral and/or bacterial infection, the expression patterns associated with air pollution exposure differed. Adjusting for the type of infection, increased concentrations of Delta-C (a marker of biomass smoke) and other PM were associated with upregulation of iron homeostasis and protein folding. Increased concentrations of black carbon (BC) were associated with upregulation of viral related gene pathways and downregulation of pathways related to antigen presentation. The pollutant/pathway associations differed by lag time and by type of infection. This study suggests that the effect of air pollution on the pathogenesis of respiratory infection may be pollutant, timing, and infection specific.
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Affiliation(s)
- Daniel P Croft
- Department of Medicine, Pulmonary and Critical Care Medicine Division, University of Rochester Medical Center, 601 Elmwood Avenue Box 692, Rochester, NY, 14642, USA.
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA.
| | - David S Burton
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, USA
| | - David J Nagel
- Department of Medicine, Pulmonary and Critical Care Medicine Division, University of Rochester Medical Center, 601 Elmwood Avenue Box 692, Rochester, NY, 14642, USA
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA
| | - Soumyaroop Bhattacharya
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | - Ann R Falsey
- Department of Medicine, Infectious Diseases Division, University of Rochester Medical Center, Rochester, NY, USA
| | - Steve N Georas
- Department of Medicine, Pulmonary and Critical Care Medicine Division, University of Rochester Medical Center, 601 Elmwood Avenue Box 692, Rochester, NY, 14642, USA
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA
| | - Philip K Hopke
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
- Institute for a Sustainable Environment, and Center for Air Resources Engineering and Science, Clarkson University, Potsdam, NY, USA
| | - Carl J Johnston
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | - R Matthew Kottmann
- Department of Medicine, Pulmonary and Critical Care Medicine Division, University of Rochester Medical Center, 601 Elmwood Avenue Box 692, Rochester, NY, 14642, USA
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA
| | - Augusto A Litonjua
- Department of Medicine, Pulmonary and Critical Care Medicine Division, University of Rochester Medical Center, 601 Elmwood Avenue Box 692, Rochester, NY, 14642, USA
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA
| | - Thomas J Mariani
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
- Department of Biomedical Genetics, University of Rochester Medical Center, Rochester, NY, USA
| | - David Q Rich
- Department of Medicine, Pulmonary and Critical Care Medicine Division, University of Rochester Medical Center, 601 Elmwood Avenue Box 692, Rochester, NY, 14642, USA
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Kelly Thevenet-Morrison
- Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA
| | - Sally W Thurston
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, USA
| | - Mark J Utell
- Department of Medicine, Pulmonary and Critical Care Medicine Division, University of Rochester Medical Center, 601 Elmwood Avenue Box 692, Rochester, NY, 14642, USA
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA
| | - Matthew N McCall
- Environmental Health Science Center, University of Rochester Medical Center, Rochester, NY, USA
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, NY, USA
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Luo J, Li T, Xie J, Guo H, Liu L, Zhang G, Peng X. Guar gum different from Ganoderma lucidum polysaccharide in alleviating colorectal cancer based on omics analysis. Food Funct 2020; 11:572-584. [PMID: 31853533 DOI: 10.1039/c9fo02786f] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
It is unclear if guar gum can alleviate colorectal cancer (CRC). We evaluated the effect of guar gum (unmodified) on the mortality, colon status, serous tumor necrosis factor-alpha (TNF-α) concentration, and gut microbial and colonic epithelial cell gene expression profiles in CRC mice and performed omics analyses to compare these with those of Ganoderma lucidum polysaccharide (GLP), whose main component is β-glucan (>90%). We found that guar gum had a CRC alleviating effect. However, it showed a 20% higher mortality rate, shorter colon length, worse colon status, larger number and size of tumors, higher concentration of serous TNF-α and upregulation of epithelial cell genes (Il10, Cytl1, Igkv7-33, Ighv1-14, Igfbp6 and Foxd3) compared to that of GLP. The higher relative abundance of Akkermansia, the alteration of microbial metabolic pathways, especially those involving chaperones and folding catalysts, fatty acid biosynthesis, glycerophospholipid metabolism, glycolysis/gluconeogenesis, lipid biosynthesis and pyruvate metabolism, and the upregulation of specific genes (Mcpt2, Mcpt9, Des and Sostdc1) were also determined in animals fed a guar gum diet. The results suggested that the alleviating effect of guar gum (an inexpensive polysaccharide) on CRC was inferior to that of GLP (a more expensive polysaccharide). This could potentially be attributed to the increased presence of Akkermansia, the alteration of 10 microbial metabolic pathways and the upregulation of 4 epithelial cell genes.
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Affiliation(s)
- Jianming Luo
- Department of Food Science and Engineering, Jinan University, Guangzhou 510632, Guangdong, China.
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Yang J, Zhang M, Chen Y, Ma L, Yadikaer R, Lu Y, Lou P, Pu Y, Xiang R, Rui B. A study on the relationship between air pollution and pulmonary tuberculosis based on the general additive model in Wulumuqi, China. Int J Infect Dis 2020; 96:42-47. [PMID: 32200108 DOI: 10.1016/j.ijid.2020.03.032] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 03/08/2020] [Accepted: 03/13/2020] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVE This study aimed to explore the impact of atmospheric pollutants on the incidence of tuberculosis (TB), and provide new ideas for the prevention and control of TB in the future. METHODS It explored the relationship between air pollutants and meteorological factors, as well as between air pollutants and heating through Spearman correlation analysis and rank sum test. Additionally, it analyzed the relationship between air pollutants and TB incidence using the general additive model. Statistical analysis results at the p<0.05 level were considered significant. RESULTS Three months after exposure to air pollutants (PM2.5, SO2, NO2, and CO) TB incidence increased. However, TB incidence increased 9 months after exposure to PM10. The single pollutant model showed when concentrations of PM2.5, PM10, SO2, NO2, CO, and O3 increased by 1μg/m3 (or 1mg/m3), the number of TB cases increased by 0.09%, 0.08%, 0.58%, 0.42%, 6.9%, and 0.57%, respectively. The optimal multi-pollutant model was a two-factor model (PM10+NO2). CONCLUSION Air pollutants including PM2.5, PM10, SO2, NO2, CO, and O3 increased the risk of TB. Few studies have been conducted in this area of research, especially regarding the mechanism. The results of this study should contribute to the understanding of TB incidence and prompt additional research.
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Affiliation(s)
- Jiandong Yang
- Department for Tuberculosis Control and Prevention, Wulumuqi Center for Disease Control and Prevention, China.
| | - Mengxi Zhang
- Center for Studies of Displaced Populations, Department of Global Community Health and Behavioral Sciences, Tulane School of Public Health & Tropical Medicine, China
| | - Yanggui Chen
- Department for Tuberculosis Control and Prevention, Wulumuqi Center for Disease Control and Prevention, China
| | - Li Ma
- Department for Tuberculosis Control and Prevention, Wulumuqi Center for Disease Control and Prevention, China
| | - Rayibai Yadikaer
- Health Inspection of Health and Family Planning Commission of Xinjiang Uygur Autonomous Region, China
| | - Yaoqin Lu
- Department of Occupational and Environmental Health, Xinjiang Medical University School of Public Health, China; Science and Education Department, Wulumuqi Center for Disease Control and Prevention, China
| | - Pengwei Lou
- Medical Records Statistics Room, The Fourth Affiliated Hospital of Xinjiang Medical University, China
| | - Yujiao Pu
- Department of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, China
| | - Ran Xiang
- Department of Epidemiology and Health Statistics, School of Public Health, Xinjiang Medical University, China
| | - Baolin Rui
- Department for Tuberculosis Control and Prevention, Wulumuqi Center for Disease Control and Prevention, China
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Yang J, Chen Y, Yu Z, Ding H, Ma Z. The influence of PM 2.5 on lung injury and cytokines in mice. Exp Ther Med 2019; 18:2503-2511. [PMID: 31572502 PMCID: PMC6755482 DOI: 10.3892/etm.2019.7839] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2017] [Accepted: 01/18/2019] [Indexed: 12/14/2022] Open
Abstract
Exposure to particulate matter ≤2.5 µm in diameter (PM2.5) profoundly affects human health. However, the role of PM2.5 on lung injury and cytokine levels in mice is currently unknown. The aim was to examine the effect of PM2.5 pollution on lung injury in mice fed at an underground parking lot. A total of 20 female Kunming mice were randomly divided into control and polluted groups, with 10 rats in each group. The control group was kept in the laboratory, while the pollution group was fed in an underground parking lot. The concentrations of pollutants were measured using ambient air quality monitoring instruments. After 3 months of treatment, the lungs were collected and examined using electron microscopy, and the morphological structures were assessed using hematoxylin and eosin staining. The polarization of macrophages was evaluated by immunofluorescence. The concentration of interleukin (IL)-4, tumor necrosis factor (TNF)-α and transforming growth factor (TGF)-β1 in peripheral sera were assessed by ELISA. The mRNA and protein levels of IL-4, TNF-α, and TGF-β1 in lung tissues were assessed by reverse transcription-quantitative polymerase chain reaction and western blot analyses, respectively. In the polluted group, the levels of CO, NOx and PM2.5 were significantly higher compared with the control group. Compared with the controls, intracellular edema, an increased number of microvilli and lamellar bodies, smaller lamellar bodies in type II alveolar epithelial cells, and abundant particles induced by PM2.5 in macrophages were observed in the polluted group. The lung ultrastructure changed in the polluted group, revealing exhaust-induced lung injury: The tissues were damaged, and the number of inflammatory cells, neutrophils, polylymphocytes and eosinophils increased in the polluted group compared with the control group. The authors also observed that the number of M1 and M2 macrophages markedly increased after the exhaust treatment. The levels of IL-4, TNF-α and TGF-β1 in the sera and tissues were significantly increased in the polluted group. PM2.5 pollutants in underground garages can lead to lung injury and have a significant impact on the level of inflammatory cytokines in mice. Therefore, the authors suggest that PM2.5 can activate the inflammatory reaction and induce immune dysfunction, leading to ultrastructural damage.
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Affiliation(s)
- Jie Yang
- Department of Dermatology, Guangdong Academy of Medical Sciences (Guangdong General Hospital), Guangzhou, Guangdong 510080, P.R. China
| | - Yi Chen
- Department of General Internal Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China
| | - Zhi Yu
- Research Center of Intelligent Transportation System, School of Engineering, Sun Yat-sen University, Guangzhou, Guangdong 510275, P.R. China
| | - Hui Ding
- Research Center of Intelligent Transportation System, School of Engineering, Sun Yat-sen University, Guangzhou, Guangdong 510275, P.R. China
| | - Zhongfu Ma
- Department of General Internal Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China
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Association between Traffic Related Air Pollution and the Development of Asthma Phenotypes in Children: A Systematic Review. Int J Chronic Dis 2018; 2018:4047386. [PMID: 30631772 PMCID: PMC6304508 DOI: 10.1155/2018/4047386] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 11/15/2018] [Indexed: 12/13/2022] Open
Abstract
Introduction Traffic related air pollution (TRAP) has long been associated with the onset of childhood asthma. The relationship between TRAP exposure and the development of childhood asthma phenotypes is less understood. To better understand this relationship, we performed a systematic review of the literature studying childhood TRAP exposure and the development of childhood asthma and wheezing phenotypes (transient, persistent, and late-onset asthma/wheezing phenotypes). Methods A literature search was performed in PubMed, Embase, and Scopus databases for current literature, returning 1706 unique articles. After screening and selection, 7 articles were included in the final review. Due to the low number of articles, no meta-analysis was performed. Results TRAP exposure appears to be associated with both transient and persistent asthma/wheezing phenotypes. However, there was little evidence to suggest a relationship between TRAP exposure and late-onset asthma/wheezing. The differing results may be in part due to the heterogeneity in study methods and asthma/wheezing phenotype definitions, in addition to other factors such as genetics. Conclusion TRAP exposure may be associated with transient and persistent asthma/wheezing phenotypes in children. The low number of studies and differing results suggest that further studies are warranted.
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