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Cao F, Wang R, Wang L, Li YZ, Wei YF, Zheng G, Nan YX, Sun MH, Liu FH, Xu HL, Zou BJ, Li XY, Qin X, Huang DH, Chen RJ, Gao S, Meng X, Gong TT, Wu QJ. Plant-based diet indices and their interaction with ambient air pollution on the ovarian cancer survival: A prospective cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116894. [PMID: 39154500 DOI: 10.1016/j.ecoenv.2024.116894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 07/15/2024] [Accepted: 08/13/2024] [Indexed: 08/20/2024]
Abstract
BACKGROUND Ambient air pollution might serve as a prognostic factor for ovarian cancer (OC) survival, yet the relationships between plant-based diet indices (PDIs) and OC survival remain unclear. We aimed to investigate the associations of comprehensive air pollution and PDIs with OC survival and explored the effects of air pollution-diet interactions. METHODS The present study encompassed 658 patients diagnosed with OC. The overall plant-based diet index (PDI), the healthful PDI (hPDI), and the unhealthful PDI (uPDI) were evaluated by a self-reported validated food frequency questionnaire. In addition, an air pollution score (APS) was formulated by summing the concentrations of particulate matter with a diameter of 2.5 microns or less, ozone, and nitrogen dioxide. Cox proportional hazard models were applied to calculate hazard ratios (HRs) and 95 % confidence intervals (CIs). The potential interactions of APS with PDIs in relation to overall survival (OS) were assessed on both multiplicative and additive scales. RESULTS Throughout a median follow-up of 37.60 (interquartile: 24.77-50.70) months, 123 deaths were confirmed. Comparing to the lowest tertiles, highest uPDI was associated with lower OS of OC (HR = 2.06, 95 % CI = 1.30, 3.28; P-trend < 0.01), whereas no significant associations were found between either overall PDI or hPDI and OC survival. Higher APS (HR for per interquartile range = 1.27, 95 % CI = 1.01, 1.60) was significantly associated with worse OC survival, and the association was exacerbated by adherence to uPDI. Notably, an additive interaction was identified between combined air pollution and uPDI (P < 0.005 for high APS and high uPDI). We also found that adherence to overall PDI aggravated associations of air pollution with OC survival (P-interaction = 0.006). CONCLUSIONS Joint exposure to various ambient air pollutants was significantly associated with lower survival among patients with OC, particularly for those who predominantly consumed unhealthy plant-based foods.
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Affiliation(s)
- Fan Cao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ran Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Lan Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Zi Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Gang Zheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Xin Nan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ming-Hui Sun
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - He-Li Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Bing-Jie Zou
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiao-Ying Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Dong-Hui Huang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ren-Jie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China.
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang, China.
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Choi YH, Song MS, Lee Y, Paik HJ, Song JS, Choi YH, Kim DH. Adverse effects of meteorological factors and air pollutants on dry eye disease: a hospital-based retrospective cohort study. Sci Rep 2024; 14:17776. [PMID: 39090167 PMCID: PMC11294595 DOI: 10.1038/s41598-024-68070-x] [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: 05/04/2024] [Accepted: 07/19/2024] [Indexed: 08/04/2024] Open
Abstract
Although previous studies have suggested that meteorological factors and air pollutants can cause dry eye disease (DED), few clinical cohort studies have determined the individual and combined effects of these factors on DED. We investigated the effects of meteorological factors (humidity and temperature) and air pollutants [particles with a diameter ≤ 2.5 μ m (PM2.5), ozone (O3), nitrogen dioxide (NO2), and carbon monoxide (CO)] on DED. A retrospective cohort study was conducted on 53 DED patients. DED was evaluated by Symptom Assessment in Dry Eye (SANDE), tear secretion, tear film break-up time (TBUT), ocular staining score (OSS), and tear osmolarity. To explore the individual, non-linear, and joint associations between meteorological factors, air pollutants, and DED parameters, we used generalized linear mixed model (GLMM) and Bayesian kernel machine regression (BKMR). After adjusting for all covariates, lower relative humidity or temperature was associated with a higher SANDE (p < 0.05). Higher PM2.5, O3, and NO2 levels were associated with higher SANDE and tear osmolarity (p < 0.05). Higher O3 levels were associated with lower tear secretion and TBUT, whereas higher NO2 levels were associated with higher OSS (p < 0.05). BKMR analyses indicated that a mixture of meteorological factors and air pollutants was significantly associated with increased SANDE, OSS, tear osmolarity, and decreased tear secretion.
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Affiliation(s)
- Yun-Hee Choi
- Department of Ophthalmology, Korea University College of Medicine, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea
- School of Health and Environmental Science, Korea University, Seoul, South Korea
| | - Myung-Sun Song
- Department of Ophthalmology, Korea University College of Medicine, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea
| | - Yunjin Lee
- Department of Ophthalmology, Gachon University College of Medicine, Gil Medical Center, Incheon, South Korea
| | - Hae Jung Paik
- Department of Ophthalmology, Gachon University College of Medicine, Gil Medical Center, Incheon, South Korea
| | - Jong Suk Song
- Department of Ophthalmology, Korea University College of Medicine, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea
| | - Yoon-Hyeong Choi
- School of Health and Environmental Science, Korea University, Seoul, South Korea.
- Institute of Health Science, Korea University, Seoul, South Korea.
| | - Dong Hyun Kim
- Department of Ophthalmology, Korea University College of Medicine, 73, Goryeodae-ro, Seongbuk-gu, Seoul, 02841, South Korea.
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3
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Liu X, Liu X, Jin M, Huang N, Song Z, Li N, Huang T. Association between birth weight/joint exposure to ambient air pollutants and type 2 diabetes: a cohort study in the UK Biobank. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:2888-2898. [PMID: 37936397 DOI: 10.1080/09603123.2023.2278634] [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: 05/22/2023] [Accepted: 10/30/2023] [Indexed: 11/09/2023]
Abstract
Early life events and environmental factors are associated with type 2 diabetes (T2D) development. We assessed the combined effect of birth weight andambient air pollutants, and effect of their interaction on T2D risk. Totally, 6,474 T2D incidents were recorded over an 8.7-year follow-up period. The adjusted hazard ratios (aHRs) with 95% confidence intervals (CIs) were 1.31 (1.26, 1.36) for each kilogram decrease in birth weight, and 1.08 (1.05, 1.11) for each standard deviation increase in air pollution score (APS). Birth weight<3000 g amplified the T2D risk associated with high APS. A combination of the lowest birth weight (<2500 g) and the highest quintile of APS led to over two-fold increase in T2D risk (aHR: 2.17; 95% CI: 1.79-2.64). There was a significant additive interaction between them. In conclusion, ambient air pollutants increase the risk for T2D, particularly in populations with low birth weight.
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Affiliation(s)
- Xiaojing Liu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, Beijing, China
| | - Xiaowen Liu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, Beijing, China
| | - Ming Jin
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, Beijing, China
| | - Ninghao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zimin Song
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Nan Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, Beijing, China
| | - Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Ministry of Education, Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Beijing, China
- Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, China
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Healy DR, Zarei I, Mikkonen S, Soininen S, Viitasalo A, Haapala EA, Auriola S, Hanhineva K, Kolehmainen M, Lakka TA. Longitudinal associations of an exposome score with serum metabolites from childhood to adolescence. Commun Biol 2024; 7:890. [PMID: 39039257 PMCID: PMC11263428 DOI: 10.1038/s42003-024-06146-0] [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: 05/24/2023] [Accepted: 04/05/2024] [Indexed: 07/24/2024] Open
Abstract
Environmental and lifestyle factors, including air pollution, impaired diet, and low physical activity, have been associated with cardiometabolic risk factors in childhood and adolescence. However, environmental and lifestyle exposures do not exert their physiological effects in isolation. This study investigated associations between an exposome score to measure the impact of multiple exposures, including diet, physical activity, sleep duration, air pollution, and socioeconomic status, and serum metabolites measured using LC-MS and NMR, compared to the individual components of the score. A general population of 504 children aged 6-9 years at baseline was followed up for eight years. Data were analysed with linear mixed-effects models using the R software. The exposome score was associated with 31 metabolites, of which 12 metabolites were not associated with any individual exposure category. These findings highlight the value of a composite score to predict metabolic changes associated with multiple environmental and lifestyle exposures since childhood.
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Affiliation(s)
- Darren R Healy
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland.
| | - Iman Zarei
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
| | - Santtu Mikkonen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio Campus, Finland
- Department of Technical Physics, University of Eastern Finland, Kuopio Campus, Finland
| | - Sonja Soininen
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
- Physician and Nursing Services, Health and Social Services Centre, Wellbeing Services County of North Savo, Varkaus, Finland
| | - Anna Viitasalo
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
| | - Eero A Haapala
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Seppo Auriola
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio Campus, Finland
- LC-MS Metabolomics Center, Biocenter Kuopio, Kuopio, Finland
| | - Kati Hanhineva
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
- Food Sciences Unit, Department of Life Technologies, University of Turku, Turku, Finland
| | - Marjukka Kolehmainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
| | - Timo A Lakka
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
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5
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Liu W, Ye L, Hua B, Yang Y, Dong Z, Jiang Y, Li J, Sun X, Ye D, Wen C, Mao Y, He Z. Association between combined exposure to ambient air pollutants, genetic risk, and incident gout risk: A prospective cohort study in the UK Biobank. Semin Arthritis Rheum 2024; 66:152445. [PMID: 38579592 DOI: 10.1016/j.semarthrit.2024.152445] [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: 01/12/2024] [Revised: 03/02/2024] [Accepted: 03/17/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Limited research has been conducted on the association between long-term exposure to air pollutants and the incidence of gout. OBJECTIVES This study aims to assess the individual and combined effects of prolonged exposure to five air pollutants (NO2, NOx, PM10, PMcoarse and PM2.52) on the incidence of gout among 458,884 initially gout-free participants enrolled in the UK Biobank. METHODS Employing a land use regression model, we utilized an estimation method to ascertain the annual concentrations of the five air pollutants. Subsequently, we devised a weighted air pollution score to facilitate a comprehensive evaluation of exposure. The Cox proportional hazards model was utilized to investigate the association between ambient air pollution and gout risk. Interaction and stratification analyses were conducted to evaluate age, sex, BMI, and genetic predisposition as potential effect modifiers in the air pollution-gout relationship. Furthermore, mediation analyses were conducted to explore the potential involvement of biomarkers in mediating the association between air pollution and gout. RESULTS Over a median follow-up time of 12.0 years, 7,927 cases of gout were diagnosed. Significant associations were observed between the risk of gout and a per IQR increase in NO2 (HR3: 1.05, 95 % CI4: 1.02-1.08, p = 0.003), NOx (HR: 1.04, 95 % CI: 1.01-1.06, p = 0.003), and PM2.5 (HR: 1.03, 95 % CI: 1.00-1.06, p = 0.030). Per IQR increase in the air pollution score was associated with an elevated risk of gout (p = 0.005). Stratified analysis revealed a significant correlation between the air pollution score and gout risk in participants ≥60 years (HR: 1.05, 95 % CI: 1.02-1.09, p = 0.005), but not in those <60 years (p = 0.793), indicating a significant interaction effect with age (p-interaction=0.009). Mediation analyses identified five serum biomarkers (SUA:15.87 %, VITD: 5.04 %, LDLD: 3.34 %, GGT: 1.90 %, AST: 1.56 %5) with potential mediation effects on this association. CONCLUSIONS Long-term exposure to air pollutants, particularly among the elderly population, is associated with an increased risk of gout. The underlying mechanisms of these associations may involve the participation of five serum biomarkers.
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Affiliation(s)
- Wei Liu
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Lihong Ye
- Department of Infection Prevention and Control, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, Zhejiang, PR China
| | - Baojie Hua
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Yudan Yang
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Ziwei Dong
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Yuqing Jiang
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Jiayu Li
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Xiaohui Sun
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Ding Ye
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China
| | - Chengping Wen
- Institute of Basic Research in Clinical Medicine, School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, 310053, PR China
| | - Yingying Mao
- Department of Epidemiology, School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, PR China.
| | - Zhixing He
- Institute of Basic Research in Clinical Medicine, School of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, 310053, PR China.
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Zhu G, Wen Y, Cao K, He S, Wang T. A review of common statistical methods for dealing with multiple pollutant mixtures and multiple exposures. Front Public Health 2024; 12:1377685. [PMID: 38784575 PMCID: PMC11113012 DOI: 10.3389/fpubh.2024.1377685] [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: 01/28/2024] [Accepted: 04/15/2024] [Indexed: 05/25/2024] Open
Abstract
Traditional environmental epidemiology has consistently focused on studying the impact of single exposures on specific health outcomes, considering concurrent exposures as variables to be controlled. However, with the continuous changes in environment, humans are increasingly facing more complex exposures to multi-pollutant mixtures. In this context, accurately assessing the impact of multi-pollutant mixtures on health has become a central concern in current environmental research. Simultaneously, the continuous development and optimization of statistical methods offer robust support for handling large datasets, strengthening the capability to conduct in-depth research on the effects of multiple exposures on health. In order to examine complicated exposure mixtures, we introduce commonly used statistical methods and their developments, such as weighted quantile sum, bayesian kernel machine regression, toxic equivalency analysis, and others. Delineating their applications, advantages, weaknesses, and interpretability of results. It also provides guidance for researchers involved in studying multi-pollutant mixtures, aiding them in selecting appropriate statistical methods and utilizing R software for more accurate and comprehensive assessments of the impact of multi-pollutant mixtures on human health.
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Affiliation(s)
- Guiming Zhu
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan, China
| | - Yanchao Wen
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan, China
| | - Kexin Cao
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan, China
| | - Simin He
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan, China
| | - Tong Wang
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan, China
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Kodros JK, Carter E, Oke O, Wilson A, Jathar SH, Magzamen S. Cumulative Exposures to Environmental and Socioeconomic Risk Factors in Milwaukee County, Wisconsin. GEOHEALTH 2024; 8:e2023GH000927. [PMID: 38711844 PMCID: PMC11072195 DOI: 10.1029/2023gh000927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 03/22/2024] [Accepted: 03/26/2024] [Indexed: 05/08/2024]
Abstract
The environmental justice literature demonstrates consistently that low-income and minority communities are disproportionately exposed to environmental hazards. In this case study, we examined cumulative multipollutant, multidomain, and multimatrix environmental exposures in Milwaukee County, Wisconsin for the year 2015. We identified spatial hot spots in Milwaukee County both individually (using local Moran's I) and through clusters (using K-means clustering) across a profile of environmental pollutants that span regulatory domains and matrices of exposure, as well as socioeconomic indicators. The cluster with the highest exposures within the urban area was largely characterized by low socioeconomic status and an overrepresentation of the Non-Hispanic Black population relative to the county as a whole. In this cluster, average pollutant concentrations were equivalent to the 78th percentile in county-level blood lead levels, 67th percentile in county-level NO2, 79th percentile in county-level CO, and 78th percentile in county-level air toxics. Simultaneously, this cluster had an average equivalent to the 62nd percentile in county-level unemployment, 70th percentile in county-level population rate lacking a high school diploma, 73rd percentile in county-level poverty rate, and 28th percentile in county-level median household income. The spatial patterns of pollutant exposure and SES indicators suggested that these disparities were not random but were instead structured by socioeconomic and racial factors. Our case study, which combines environmental pollutant exposures, sociodemographic data, and clustering analysis, provides a roadmap to identify and target overburdened communities for interventions that reduce environmental exposures and consequently improve public health.
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Affiliation(s)
- John K. Kodros
- Department of Mechanical EngineeringColorado State UniversityFort CollinsCOUSA
- Now at Clarity MovementBerkeleyCAUSA
| | - Ellison Carter
- Department of Civil and Environmental EngineeringColorado State UniversityFort CollinsCOUSA
| | - Oluwatobi Oke
- Department of Civil and Environmental EngineeringColorado State UniversityFort CollinsCOUSA
- Now at Building Energy and Environment DivisionNational Institute of Standards and TechnologyGaithersburgMDUSA
| | - Ander Wilson
- Department of StatisticsColorado State UniversityFort CollinsCOUSA
| | - Shantanu H. Jathar
- Department of Mechanical EngineeringColorado State UniversityFort CollinsCOUSA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health SciencesColorado State UniversityFort CollinsCOUSA
- Department of EpidemiologyColorado School of Public HealthColorado State UniversityFort CollinsCOUSA
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Zhang S, Cao H, Chen K, Gao T, Zhao H, Zheng C, Wang T, Zeng P, Wang K. Joint Exposure to Multiple Air Pollutants, Genetic Susceptibility, and Incident Dementia: A Prospective Analysis in the UK Biobank Cohort. Int J Public Health 2024; 69:1606868. [PMID: 38426188 PMCID: PMC10901982 DOI: 10.3389/ijph.2024.1606868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 02/05/2024] [Indexed: 03/02/2024] Open
Abstract
Objectives: This study aimed to evaluate the joint effects of multiple air pollutants including PM2.5, PM10, NO2, and NOx with dementia and examined the modifying effects of genetic susceptibility. Methods: This study included 220,963 UK Biobank participants without dementia at baseline. Weighted air pollution score reflecting the joint exposure to multiple air pollutants were constructed by cross-validation analyses, and inverse-variance weighted meta-analyses were performed to create a pooled effect. The modifying effect of genetic susceptibility on air pollution score was assessed by genetic risk score and APOE ε4 genotype. Results: The HR (95% CI) of dementia for per interquartile range increase of air pollution score was 1.13 (1.07∼1.18). Compared with the lowest quartile (Q1) of air pollution score, the HR (95% CI) of Q4 was 1.26 (1.13∼1.40) (P trend = 2.17 × 10-5). Participants with high air pollution score and high genetic susceptibility had higher risk of dementia compared to those with low air pollution score and low genetic susceptibility. Conclusion: Our study provides evidence that joint exposure to multiple air pollutants substantially increases the risk of dementia, especially among individuals with high genetic susceptibility.
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Affiliation(s)
- Shuo Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Hongyan Cao
- Division of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Keying Chen
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Tongyu Gao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Huashuo Zhao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Chu Zheng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Xuzhou Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Xuzhou Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ke Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Xuzhou Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, China
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9
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Papadopoulos NG, Akdis CA, Akdis M, Damialis A, Esposito G, Fergadiotou I, Goroncy C, Guitton P, Gotua M, Erotokritou K, Jartti T, Murray C, Nenes A, Nikoletseas S, Finotto S, Pandis SN, Ramiconi V, Simpson A, Soudunsaari A, Stårbröst A, Staiano M, Varriale A, Xepapadaki P, Zuberbier T, Annesi-Maesano I. Addressing adverse synergies between chemical and biological pollutants at schools-The 'SynAir-G' hypothesis. Allergy 2024; 79:294-301. [PMID: 37654007 DOI: 10.1111/all.15857] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 07/17/2023] [Accepted: 07/31/2023] [Indexed: 09/02/2023]
Abstract
While the number and types of indoor air pollutants is rising, much is suspected but little is known about the impact of their potentially synergistic interactions, upon human health. Gases, particulate matter, organic compounds but also allergens and viruses, fall within the 'pollutant' definition. Distinct populations, such as children and allergy and asthma sufferers are highly susceptible, while a low socioeconomic background is a further susceptibility factor; however, no specific guidance is available. We spend most of our time indoors; for children, the school environment is of paramount importance and potentially amenable to intervention. The interactions between some pollutant classes have been studied. However, a lot is missing with respect to understanding interactions between specific pollutants of different classes in terms of concentrations, timing and sequence, to improve targeting and upgrade standards. SynAir-G is a European Commission-funded project aiming to reveal and quantify synergistic interactions between different pollutants affecting health, from mechanisms to real life, focusing on the school setting. It will develop a comprehensive and responsive multipollutant monitoring system, advance environmentally friendly interventions, and disseminate the generated knowledge to relevant stakeholders in accessible and actionable formats. The aim of this article it to put forward the SynAir-G hypothesis, and describe its background and objectives.
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Affiliation(s)
- Nikolaos G Papadopoulos
- Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester, UK
- Allergy Department, 2nd Paediatric Clinic, National and Kapodistrian University of Athens, Athens, Greece
| | - Cezmi A Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland, Christine Kühne-Center for Allergy Research and Education (CK-CARE), Davos, Switzerland
| | - Mubeccel Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland, Christine Kühne-Center for Allergy Research and Education (CK-CARE), Davos, Switzerland
| | - Athanasios Damialis
- Department of Ecology, School of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | | | | | | | - Maia Gotua
- Center for Allergy and Immunology Research (CAIR), Tbilisi, Georgia
| | | | - Tuomas Jartti
- PEDEGO Research Unit, University of Oulu, Oulu, Finland
- Department of Pediatrics, Oulu University Hospital, Oulu, Finland
- Department of Pediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Clare Murray
- Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester, UK
| | - Athanasios Nenes
- Laboratory of Atmospheric Processes and their Impacts, School of Architecture, Civil and Environmental Engineering, Swiss Institute of Technology, Lausanne, Switzerland
| | - Sotirios Nikoletseas
- Computer Engineering and Informatics Department, University of Patras, Patras, Greece
| | - Susetta Finotto
- Molecular Pneumology Department, University Hospital of Erlangen, Erlangen, Germany
| | - Spyros N Pandis
- Institute of Chemical Engineering Sciences (ICEHT), Foundation for Research and Technology Hellas (FORTH), Patras, Greece
| | - Valeria Ramiconi
- The European Federation of Allergy and Airways Diseases Patients' Association (EFA), Brussels, Belgium
| | - Angela Simpson
- Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester, UK
| | | | | | - Maria Staiano
- Institute of Food Science, CNR Italy, Avellino, Italy
| | - Antonio Varriale
- Institute of Food Science, CNR Italy, Avellino, Italy
- URT-ISA, CNR at Department of Biology, University of Naples Federico II, Naples, Italy
| | - Paraskevi Xepapadaki
- Allergy Department, 2nd Paediatric Clinic, National and Kapodistrian University of Athens, Athens, Greece
| | - Torsten Zuberbier
- Institute of Allergology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany
- Global Allergy & Asthma European Network of Excellence-GA2LEN, Berlin, Germany
| | - Isabella Annesi-Maesano
- Department of Allergic and Respiratory Disease, Institut Desbrest of Epidemiology and Public Health, University of Montpellier and INSERM, Montpellier University Hospital, Montpellier, France
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10
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Gong X, Wang S, Wang X, Zhong S, Yuan J, Zhong Y, Jiang Q. Long-term exposure to air pollution and risk of insulin resistance: A systematic review and meta-analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 271:115909. [PMID: 38199220 DOI: 10.1016/j.ecoenv.2023.115909] [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: 09/25/2023] [Revised: 12/25/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024]
Abstract
OBJECTIVE The effects of air pollution on metabolism have become a popular research topic, and a large number of studies had confirmed that air pollution exposure could induce insulin resistance (IR) to varying degrees, but the results were inconsistent, especially for the long-term exposures. The aim of the current study was to further investigate the potential effects of air pollution on IR. METHODS A systematic review and meta-analysis of four electronic databases, including PubMed, Embase, Web of Science and Cochrane were conducted, searching for relevant studies published before June 10, 2023, in order to explore the potential relationships between long-term exposure to air pollution and IR. A total of 10 studies were included for data analysis, including seven cohort studies and three cross-sectional studies. Four major components of air pollution, including PM2.5 (particulate matter with an aerodynamic diameter of 2.5 µm or less), PM10 (particulate matter with an aerodynamic diameter of 10 µm or less), NO2, and SO2 were selected, and each analyzed for the potential impacts on insulin resistance, in the form of adjusted percentage changes in the homeostasis assessment model of insulin resistance (HOMA-IR). RESULTS This systematic review and meta-analysis showed that for every 1 μg/m³ increase in the concentration of selected air pollutants, PM2.5 induced a 0.40% change in HOMA-IR (95%CI: -0.03, 0.84; I2 =67.4%, p = 0.009), while PM10 induced a 1.61% change (95%CI: 0.243, 2.968; I2 =49.1%, p = 0.001). Meanwhile, the change in HOMA-IR due to increased NO2 or SO2 exposure concentration was only 0.09% (95%CI: -0.01, 0.19; I2 =83.2%, p = 0.002) or 0.01% (95%CI: -0.04, 0.06; I2 =0.0%, p = 0.638), respectively. CONCLUSIONS Long-term exposures to PM2.5, PM10, NO2 or SO2 are indeed associated with the odds of IR. Among the analyzed pollutants, inhalable particulate matters appear to exert greater impacts on IR.
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Affiliation(s)
- Xinxian Gong
- Department of Toxicology, School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, China
| | - Siyi Wang
- Department of Toxicology, School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, China
| | - Xiaokang Wang
- Department of Cardiac Surgery, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Shuping Zhong
- Department of Toxicology, School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, China
| | - Junhua Yuan
- Department of Special Medicine, School of Basic Medicine, Qingdao University, 308 Ningxia Road, Qingdao, China
| | - Yuxu Zhong
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, 27 Taiping Road, Beijing, China.
| | - Qixiao Jiang
- Department of Toxicology, School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, China.
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11
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Antia M, Ezejiofor AN, Orish CN, Cirovic A, Cirovic A, Orisakwe OE. Selenium and zinc supplementation mitigates metals-(loids) mixture- mediated cardiopulmonary toxicity via attenuation of antioxidant, anti-inflammatory and antiapoptotic mechanisms in female Sprague Dawley rats. Toxicol Res (Camb) 2024; 13:tfad119. [PMID: 38179003 PMCID: PMC10762678 DOI: 10.1093/toxres/tfad119] [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: 08/28/2023] [Revised: 11/01/2023] [Accepted: 11/30/2023] [Indexed: 01/06/2024] Open
Abstract
This study evaluated the cardiopulmonary protective effects of essential elements (Zn and Se) against heavy metals mixture (HMM) exposure. Twenty five female Sprague Dawley albino rats, divided in to five groups: controls were orally treated only with distilled water; next, group 2 was exposed to HMM with the following concentrations: 20 mg/kg of Pb body weight, 0.40 mg/kg of Hg, 0.56 mg/kg of Mn, and 35 mg/kg of Al. Groups 3, 4 and 5 were exposed to HMM and co-treated with zinc chloride (ZnCl2; 0.80 mg/kg), sodium selenite (Na2SeO3;1.50 mg/kg) and both zinc chloride and sodium selenite, respectively. The experiment lasted for 60 days. Afterwards animals were sacrificed, and we conduced biochemical and histopathological examination of the heart and lungs. HMM only exposed animals had an increased levels of malondialdehyde (MDA) and nitric oxide (NO), increased IL-6 and TNF-α, attenuated SOD, GPx, CAT and GSH and caspase 3 in the heart and lungs. HMM affected NF-kB and Nrf2 in the heart muscle with histomorphological alterations. Zn and Se attenuated adverse effects of HMM exposure. Essential element supplementation ameliorated heavy metal cardiopulmonary intoxication in rats.
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Affiliation(s)
- Mfoniso Antia
- African Centre of Excellence for Public Health and Toxicological Research (ACE-PUTOR), University of Port Harcourt, PMB, East West Road, Choba, Port Harcourt, Rivers State, Choba 5323, Nigeria
| | - Anthonet N Ezejiofor
- African Centre of Excellence for Public Health and Toxicological Research (ACE-PUTOR), University of Port Harcourt, PMB, East West Road, Choba, Port Harcourt, Rivers State, Choba 5323, Nigeria
| | - Chinna N Orish
- Department of Anatomy, Faculty of Basic Medical Sciences, College of Health Sciences, University of Port Harcourt, PMB, East West Road, Choba, Port Harcourt, Rivers State, Choba 5323, Nigeria
| | - Ana Cirovic
- Faculty of Medicine, The Institute of Anatomy, University of Belgrade, East West Road, Choba, Port Harcourt, Rivers State Belgrade, Serbia
| | - Aleksandar Cirovic
- Faculty of Medicine, The Institute of Anatomy, University of Belgrade, East West Road, Choba, Port Harcourt, Rivers State Belgrade, Serbia
| | - Orish E Orisakwe
- African Centre of Excellence for Public Health and Toxicological Research (ACE-PUTOR), University of Port Harcourt, PMB, East West Road, Choba, Port Harcourt, Rivers State, Choba 5323, Nigeria
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12
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Morantes G, Jones B, Molina C, Sherman MH. Harm from Residential Indoor Air Contaminants. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:242-257. [PMID: 38150532 PMCID: PMC10785761 DOI: 10.1021/acs.est.3c07374] [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: 09/07/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 12/29/2023]
Abstract
This study presents a health-centered approach to quantify and compare the chronic harm caused by indoor air contaminants using disability-adjusted life-year (DALY). The aim is to understand the chronic harm caused by airborne contaminants in dwellings and identify the most harmful. Epidemiological and toxicological evidence of population morbidity and mortality is used to determine harm intensities, a metric of chronic harm per unit of contaminant concentration. Uncertainty is evaluated in the concentrations of 45 indoor air contaminants commonly found in dwellings. Chronic harm is estimated from the harm intensities and the concentrations. The most harmful contaminants in dwellings are PM2.5, PM10-2.5, NO2, formaldehyde, radon, and O3, accounting for over 99% of total median harm of 2200 DALYs/105 person/year. The chronic harm caused by all airborne contaminants in dwellings accounts for 7% of the total global burden from all diseases.
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Affiliation(s)
- Giobertti Morantes
- Department
of Architecture and Built Environment, University
of Nottingham, Nottingham NG7 2RD, U.K.
| | - Benjamin Jones
- Department
of Architecture and Built Environment, University
of Nottingham, Nottingham NG7 2RD, U.K.
| | - Constanza Molina
- Escuela
de Construcción Civil, Pontificia
Universidad Católica de Chile, Avenida Vicuña Mackenna 4860, Macul, Santiago 7820436, Chile
| | - Max H. Sherman
- Department
of Architecture and Built Environment, University
of Nottingham, Nottingham NG7 2RD, U.K.
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13
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Gan X, Zhang Y, He P, Ye Z, Zhou C, Liu M, Yang S, Zhang Y, Qin X. Positive association between ambient air pollutants and incident kidney stones. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:124067-124077. [PMID: 37996579 DOI: 10.1007/s11356-023-31136-w] [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: 08/19/2023] [Accepted: 11/16/2023] [Indexed: 11/25/2023]
Abstract
We aimed to assess the association between exposure to various air pollutants, individually or jointly, and incident kidney stones, and examine whether genetic susceptibility for kidney stones may modify this association. 453,977 participants without prior kidney stones from the UK Biobank were included. Annual mean concentrations of PM2.5, PM2.5-10, PM10, NO2, and NOx were estimated with a land use regression model. A weighted air pollution score was constructed that incorporates the five pollutants mentioned above. A genetic risk score (GRS) was calculated based on 20 single-nucleotide polymorphisms associated with kidney stones. The primary outcome was incident kidney stones. During a median follow-up of 11.9 years, 5,375 kidney stones were recorded. The adjusted HRs (95%CI) of incident kidney stones were 1.04 (1.01-1.07), 1.02 (1.00-1.05), 1.03 (1.01-1.06), 1.05 (1.02-1.08), and 1.04 (1.01-1.07), for per standard deviation (SD) increment in PM2.5 (SD:1.06 μg/m3), PM2.5-10 (SD:0.90 μg/m3), PM10 (SD:1.90 μg/m3), NO2 (SD:7.63 μg/m3), and NOx (SD: 15.63 μg/m3), respectively. Moreover, there was a significantly linear association between the air pollution score and incident kidney stones (per SD increment: HR, 1.05, 95%CI: 1.02-1.08), especially in those without diabetes (vs. participants with diabetes; P-interaction = 0.037). In addition, the association between air pollution and kidney stones was statistically significant only in participants within intermediate-high kidney stone GRS, but not in those with low GRS kidney stone, though the interaction was not significant (P-interaction = 0.385). In conclusion, exposure to air pollution was associated with a higher risk of incident kidney stones, calling for the need to improve air quality.
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Affiliation(s)
- Xiaoqin Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, 510515, China.
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14
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Li R, Lu Q, Chen JX, Li RY, Li L, Ou YJ, Liu S, Lin XY, Deng YL, Yang K, Pan A, Liao YF, Liu G. Combined exposure to multiple air pollutants and incident ischemic heart disease in individuals with and without type 2 diabetes: A cohort study from the UK Biobank. Diabetes Res Clin Pract 2023; 206:111019. [PMID: 37977552 DOI: 10.1016/j.diabres.2023.111019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/11/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Air pollution and type 2 diabetes (T2D) are both associated with an increased risk of ischemic heart disease (IHD). Little is known about the combined effects of multiple air pollutants on IHD risk, especially among individuals with T2D. We sought to assess the association of combined exposure to multiple air pollutants with incident IHD and examine the modification effect of T2D. METHODS This study included 388780 individuals (20036 individuals with T2D) free of cardiovascular disease and cancer from the UK Biobank. The combined exposure to multiple air pollutants, including particulate matter (PM) with diameters ≤ 2.5 μm (PM2.5), PM with diameters between 2.5 and 10 µm (PMcoarse), PM with diameters ≤ 10 μm (PM10), nitrogen dioxide (NO2), and nitrogen dioxides (NOx), was assessed by creating a weighted air pollution score (APS), with a higher APS representing a higher level of air pollution exposure. Hazard ratios (HR) and 95 % confidence intervals (CI) for incident IHD were assessed by multivariable-adjusted Cox proportional hazard models. RESULTS During a median of 12.9 years of follow-up, 27333 incident IHD cases were observed. Compared with the lowest tertile of the APS, the multivariable-adjusted HR (95 % CI) of IHD risk for the highest tertile was 1.13 (1.03-1.23) among individuals with T2D, while the HR was 1.06 (1.03-1.10) among individuals without T2D. Additionally, the associations between APS and IHD incidence showed a linear relationship among individuals with T2D (nonlinearity: P = 0.37), whereas a non-linear relationship was observed among individuals without T2D (nonlinearity: P = 0.02). For the joint analysis, individuals in the highest tertile of APS and with T2D had a 54 % higher risk of IHD compared to individuals in the lowest tertile of APS and without T2D, with a significant additive interaction (Pinteraction < 0.01). The proportion of relative excess risk was 17 % due to the interaction in categorical analyses. CONCLUSIONS The combined exposure to multiple air pollutants has been associated with an elevated risk of incident IHD, and the association is more pronounced among individuals with T2D.
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Affiliation(s)
- Rui Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Jun-Xiang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Ru-Yi Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Lin Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Yun-Jing Ou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Sen Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Xiao-Yu Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Yu-Lei Deng
- Department of Comprehensive Medical Care and Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Kun Yang
- Department of Endocrinology, Guoyao Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei Province, China
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - Yun-Fei Liao
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
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15
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Li J, Liang L, Lyu B, Cai YS, Zuo Y, Su J, Tong Z. Double trouble: The interaction of PM 2.5 and O 3 on respiratory hospital admissions. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 338:122665. [PMID: 37806428 DOI: 10.1016/j.envpol.2023.122665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 09/28/2023] [Accepted: 09/29/2023] [Indexed: 10/10/2023]
Abstract
The co-occurrence of fine particulate matter (PM2.5) and ozone (O3) pollution during the warm season has become a growing public health concern. The interaction between PM2.5 and O3 and its contribution to disease burden associated with co-pollution has not been thoroughly examined. We collected data on hospital admissions for respiratory diseases from a city-wide hospital discharge database in Beijing between 2013 and 2019. City-wide 24-h mean PM2.5 and daily maximum 8-h mean O3 were averaged from 35 monitoring stations across Beijing. Conditional Poisson regression was employed to estimate the interaction between warm-season PM2.5 and O3 on respiratory admissions. A model incorporating a tensor product term was used to fit the non-linear interaction and estimate the number of respiratory admissions attributable to PM2.5 and O3 pollution. From January 18, 2013 to December 31, 2019, 1,191,308 respiratory admissions were recorded. We observed multiplicative interactions between warm-season PM2.5 and O3 on upper respiratory infections (P = 0.004), pneumonia (P = 0.002), chronic obstructive pulmonary disease (P = 0.041), and total respiratory disease (P < 0.001). PM2.5-O3 co-pollution during warm season exhibited a super-additive effect on respiratory admissions, with a relative excess risk due to interaction of 1.65% (95%CI: 0.46%-2.84%). There was a non-linear pattern of the synergistic effect between PM2.5 and O3 on respiratory admissions. Based on the World Health Organization global air quality guidelines, 12,421 respiratory admissions would be reduced if both daily PM2.5 and O3 concentrations had not exceeded the target (PM2.5 15 μg/m3, O3 100 μg/m3). The number of respiratory admissions attributable to either PM2.5 or O3 pollution decreased by 48.7% from 2013 to 2019. Prioritizing O3 control during the warm season is a cost-effective strategy for Beijing. These findings underscore the significance of concurrently addressing both PM2.5 pollution and O3 pollution during the warm season to alleviate the burden of respiratory diseases.
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Affiliation(s)
- Jiachen Li
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
| | - Lirong Liang
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
| | - Baolei Lyu
- Huayun Sounding Meteorology Technology Corporation, Beijing, China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, China.
| | - Yutong Samuel Cai
- Centre for Environmental Health and Sustainability, Department of Population Health Sciences, University of Leicester, Leicester, UK.
| | - Yingting Zuo
- Department of Clinical Epidemiology, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
| | - Jian Su
- School of Economics, Peking University, Beijing, China.
| | - Zhaohui Tong
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao Yang Hospital, Capital Medical University, Beijing, China.
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16
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Li ZH, Wang XM, Xiang JX, Nan Y, Chen YJ, Zhang PD, Liu D, Shen D, Zhang XR, Zhong WF, Chen PL, Huang QM, Song WQ, Qiu CS, Liang F, Li C, Mao C. Associations of long-term joint exposure to various ambient air pollutants with all-cause and cause-specific mortality: evidence from a large population-based cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:84357-84367. [PMID: 37365359 DOI: 10.1007/s11356-023-28224-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 06/08/2023] [Indexed: 06/28/2023]
Abstract
The association between long-term joint exposure to all kinds of ambient air pollutants and the risk of mortality is not known. Our study prospectively assessed the joint associations of various air pollutants with cause-specific and all-cause mortality risk and identified potential modifying factors affecting these associations. A total of 400,259 individuals aged 40-70 years were included in this study. Information on PM10, PM2.5-10, PM2.5, NO2, and NOx was collected. A weighted air pollution score was calculated to assess joint exposure to the above air pollutants. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models. During a median of 12.0 years (4,733,495 person-years) of follow-up, 21,612 deaths were recorded, including 7097 deaths from cardiovascular disease and 11,557 deaths from cancer. The adjusted HRs of all-cause mortality were 1.39 (95% CI: 1.29-1.50), 1.86 (95% CI: 1.63-2.13), 1.12 (95% CI: 1.10-1.14), and 1.04 (95% CI: 1.03-1.05) for every 10-ug/m3 increase in PM10, PM2.5, NO2, and NOx, respectively. The adjusted HRs associated with the air pollution score (the highest quintile versus the lowest quintile) were 1.24 (95% CI: 1.19-1.30) for all-cause mortality, 1.33 (95% CI: 1.23-1.43) for cardiovascular mortality, and 1.16 (95% CI: 1.09-1.23) for cancer mortality. Furthermore, we found that the air pollution score was associated with a linear dose-response increase in mortality risk (all P for linearity < 0.001). The findings highlight the importance of a comprehensive assessment of various air pollutants.
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Affiliation(s)
- Zhi-Hao Li
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiao-Meng Wang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Jia-Xuan Xiang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Ying Nan
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Ying-Jun Chen
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Pei-Dong Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
- The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Dan Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Dong Shen
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xi-Ru Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Wen-Fang Zhong
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Pei-Liang Chen
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Qing-Mei Huang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Wei-Qi Song
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Cheng-Shen Qiu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Fen Liang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Chuan Li
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Chen Mao
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
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17
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Zhang H, D'Agostino C, Tulisiak C, Thorwald MA, Bergkvist L, Lindquist A, Meyerdirk L, Schulz E, Becker K, Steiner JA, Cacciottolo M, Kwatra M, Rey NL, Escobar Galvis ML, Ma J, Sioutas C, Morgan TE, Finch CE, Brundin P. Air pollution nanoparticle and alpha-synuclein fibrils synergistically decrease glutamate receptor A1, depending upon nPM batch activity. Heliyon 2023; 9:e15622. [PMID: 37128335 PMCID: PMC10148131 DOI: 10.1016/j.heliyon.2023.e15622] [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: 11/04/2022] [Revised: 04/03/2023] [Accepted: 04/17/2023] [Indexed: 05/03/2023] Open
Abstract
Background Epidemiological studies have variably linked air pollution to increased risk of Parkinson's disease (PD). However, there is little experimental evidence for this association. Alpha-synuclein (α-syn) propagation plays central roles in PD and glutamate receptor A1 (GluA1) is involved in memory and olfaction function. Methods Each mouse was exposed to one of three different batches of nano-particulate matter (nPM) (300 μg/m3, 5 h/d, 3 d/week), collected at different dates, 2017-2019, in the same urban site. After these experiments, these nPM batches were found to vary in activity. C57BL/6 female mice (3 mo) were injected with pre-formed murine α-synuclein fibrils (PFFs) (0.4 μg), which act as seeds for α-syn aggregation. Two exposure paradigms were used: in Paradigm 1, PFFs were injected into olfactory bulb (OB) prior to 4-week nPM (Batch 5b) exposure and in Paradigm 2, PFFs were injected at 4th week during 10-week nPM exposure (Batches 7 and 9). α-syn pSer129, microglia Iba1, inflammatory cytokines, and Gria1 expression were measured by immunohistochemistry or qPCR assays. Results As expected, α-syn pSer129 was detected in ipsilateral OB, anterior olfactory nucleus, amygdala and piriform cortex. One of the three batches of nPM caused a trend for elevated α-syn pSer129 in Paradigm 1, but two other batches showed no effect in Paradigm 2. However, the combination of nPM and PFF significantly decreased Gria1 mRNA in both the ipsi- and contra-lateral OB and frontal cortex for the most active two nPM batches. Neither nPM nor PFFs alone induced responses of microglia Iba1 and expression of Gria1 in the OB and cortex. Conclusion Exposures to ambient nPM had weak effect on α-syn propagation in the brain in current experimental paradigms; however, nPM and α-syn synergistically downregulated the expression of Gria1 in both OB and cortex.
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Affiliation(s)
- Hongqiao Zhang
- Leonard Davis School of Gerontology, University of Southern California, USA
- Corresponding author.
| | - Carla D'Agostino
- Leonard Davis School of Gerontology, University of Southern California, USA
| | | | - Max A. Thorwald
- Leonard Davis School of Gerontology, University of Southern California, USA
| | | | | | | | - Emily Schulz
- Van Andel Institute, Grand Rapids, MI 49503, USA
| | | | | | | | - Mohit Kwatra
- Van Andel Institute, Grand Rapids, MI 49503, USA
| | | | | | - Jiyan Ma
- Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Constantinos Sioutas
- Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Todd E. Morgan
- Leonard Davis School of Gerontology, University of Southern California, USA
| | - Caleb E. Finch
- Leonard Davis School of Gerontology, University of Southern California, USA
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18
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Majumder N, Kodali V, Velayutham M, Goldsmith T, Amedro J, Khramtsov VV, Erdely A, Nurkiewicz TR, Harkema JR, Kelley EE, Hussain S. Aerosol physicochemical determinants of carbon black and ozone inhalation co-exposure induced pulmonary toxicity. Toxicol Sci 2023; 191:61-78. [PMID: 36303316 PMCID: PMC9887725 DOI: 10.1093/toxsci/kfac113] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Air pollution accounts for more than 7 million premature deaths worldwide. Using ultrafine carbon black (CB) and ozone (O3) as a model for an environmental co-exposure scenario, the dose response relationships in acute pulmonary injury and inflammation were determined by generating, characterizing, and comparing stable concentrations of CB aerosols (2.5, 5.0, 10.0 mg/m3), O3 (0.5, 1.0, 2.0 ppm) with mixture CB + O3 (2.5 + 0.5, 5.0 + 1.0, 10.0 + 2.0). C57BL6 male mice were exposed for 3 h by whole body inhalation and acute toxicity determined after 24 h. CB itself did not cause any alteration, however, a dose response in pulmonary injury/inflammation was observed with O3 and CB + O3. This increase in response with mixtures was not dependent on the uptake but was due to enhanced reactivity of the particles. Benchmark dose modeling showed several-fold increase in potency with CB + O3 compared with CB or O3 alone. Principal component analysis provided insight into response relationships between various doses and treatments. There was a significant correlation in lung responses with charge-based size distribution, total/alveolar deposition, oxidant generation, and antioxidant depletion potential. Lung tissue gene/protein response demonstrated distinct patterns that are better predicted by either particle dose/aerosol responses (interleukin-1β, keratinocyte chemoattractant, transforming growth factor beta) or particle reactivity (thymic stromal lymphopoietin, interleukin-13, interleukin-6). Hierarchical clustering showed a distinct signature with high dose and a similarity in mRNA expression pattern of low and medium doses of CB + O3. In conclusion, we demonstrate that the biological outcomes from CB + O3 co-exposure are significantly greater than individual exposures over a range of aerosol concentrations and aerosol characteristics can predict biological outcome.
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Affiliation(s)
- Nairrita Majumder
- Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Center for Inhalation Toxicology (iTOX), School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
| | - Vamsi Kodali
- Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Center for Inhalation Toxicology (iTOX), School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health (NIOSH), Morgantown, West Virginia 26508, USA
| | - Murugesan Velayutham
- Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Center for Inhalation Toxicology (iTOX), School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Department of Biochemistry and Molecular Medicine, School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
| | - Travis Goldsmith
- Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Center for Inhalation Toxicology (iTOX), School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
| | - Jessica Amedro
- Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
| | - Valery V Khramtsov
- Department of Biochemistry and Molecular Medicine, School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
| | - Aaron Erdely
- Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Center for Inhalation Toxicology (iTOX), School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health (NIOSH), Morgantown, West Virginia 26508, USA
| | - Timothy R Nurkiewicz
- Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Center for Inhalation Toxicology (iTOX), School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health (NIOSH), Morgantown, West Virginia 26508, USA
| | - Jack R Harkema
- Department of Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan 48824, USA
| | - Eric E Kelley
- Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Center for Inhalation Toxicology (iTOX), School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health (NIOSH), Morgantown, West Virginia 26508, USA
| | - Salik Hussain
- Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Center for Inhalation Toxicology (iTOX), School of Medicine, West Virginia University, Morgantown, West Virginia 26506, USA
- Health Effects Laboratory Division, National Institute for Occupational Safety and Health (NIOSH), Morgantown, West Virginia 26508, USA
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Zhang F, Zhang X, Zhong Y, Zhu S, Zhao G, Zhang X, Li T, Zhang Y, Zhu W. Joint Exposure to Ambient Air Pollutants Might Elevate the Risk of Small for Gestational Age (SGA) Infants in Wuhan: Evidence From a Cross-Sectional Study. Int J Public Health 2023; 67:1605391. [PMID: 36686387 PMCID: PMC9849243 DOI: 10.3389/ijph.2022.1605391] [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: 09/13/2022] [Accepted: 12/16/2022] [Indexed: 01/06/2023] Open
Abstract
Objective: To investigate the effect of exposure to multiple ambient air pollutants during pregnancy on the risk of children being born small for gestational age (SGA). Methods: An Air Pollution Score (APS) was constructed to assess the effects of being exposed to six air pollutants simultaneously, PM2.5, PM10, SO2, NO2, CO, and O3 (referred to as joint exposure). A logistic regression model was applied to estimate the associations of APS and SGA. Results: The adjusted odds ratios (ORs) of SGA per 10 ug/m3 increased in APS during the first and second trimesters and the entire pregnancy were 1.003 [95% confidence intervals (CIs): 1.000, 1.007], 1.018 (1.012, 1.025), and 1.020 (1.009, 1.031), respectively. The ORs of SGA for each 10 μg/m3 elevated in APS during the whole pregnancy were 1.025 (1.005, 1.046) for mothers aged over 35 years old vs. 1.018 (1.005, 1.031) for mothers aged under 35 years old. Women who were pregnant for the first time were more vulnerable to joint ambient air pollution. Conclusion: In summary, the results of the present study suggested that joint exposure to ambient air pollutants was associated with the increment in the risks of SGA.
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Affiliation(s)
- Faxue Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Xupeng Zhang
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, China
| | - Yuanyuan Zhong
- Department of Obstetrics and Gynecology, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shijie Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Gaichan Zhao
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, China
| | - Xiaowei Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Tianzhou Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China
| | - Yan Zhang
- Department of Obstetrics and Gynecology, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,*Correspondence: Yan Zhang, ; Wei Zhu,
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, China,*Correspondence: Yan Zhang, ; Wei Zhu,
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20
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Kaleta D, Kozielska B. Spatial and Temporal Volatility of PM2.5, PM10 and PM10-Bound B[a]P Concentrations and Assessment of the Exposure of the Population of Silesia in 2018-2021. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:138. [PMID: 36612461 PMCID: PMC9819630 DOI: 10.3390/ijerph20010138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/15/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
Air pollution both indoors and outdoors is a major cause of various diseases and premature deaths. Negative health effects are more frequently observed in a number of European countries characterized by significant pollution. In Poland, especially in Upper Silesia, the most serious problem is the high concentration of particulate matter (PM) and PM10-bound benzo[a]pyrene (B[a]P). The main source of these two pollutants is so-called "low emissions" associated with the burning of solid fuels mainly in domestic boilers and liquid fuels in road traffic. This study examined the variability in the PM and PM10-bound B[a]P concentrations and their relationships with meteorological parameters, i.e., atmospheric pressure, air temperature and wind speed, in 2018-2021 at 11 monitoring stations. In many Silesian cities, the average annual concentrations of PM10, PM2.5 and B[a]P were much higher than those recorded in other European countries. At each station, the average daily PM10 concentrations were exceeded on 12 to 126 days a year. Taking into account the WHO recommendation for PM2.5, the highest recorded average daily concentration exceeded the permissible level by almost 40 times. The same relationships were observed in all measurement years: PM10 concentrations were negatively correlated with air temperature (R = -0.386) and wind speed (R = -0.614). The highest concentrations were observed in the temperature range from -15 °C to -5 °C, when the wind speed did not exceed 0.5 m·s-1. The calculated lifetime cancer risk (LCR) associated with the exposure to B[a]P in the Silesian Voivodeship suggested 30-429 cases per 1 million people in the heating season depending on the scenario used for the calculations (IRIS, EPA or WHO).
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Affiliation(s)
| | - Barbara Kozielska
- Department of Air Protection, Silesian University of Technology, 22B Konarskiego St., 44-100 Gliwice, Poland
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21
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Fu Y, Zhang W, Li Y, Li H, Deng F, Ma Q. Association and interaction of O 3 and NO 2 with emergency room visits for respiratory diseases in Beijing, China: a time-series study. BMC Public Health 2022; 22:2265. [PMID: 36464692 PMCID: PMC9721066 DOI: 10.1186/s12889-022-14473-2] [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: 03/09/2022] [Accepted: 10/26/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Ozone (O3) and nitrogen dioxide (NO2) are the two main gaseous pollutants in the atmosphere that act as oxidants. Their short-term effects and interaction on emergency room visits (ERVs) for respiratory diseases remain unclear. METHODS We conducted a time-series study based on 144,326 ERVs for respiratory diseases of Peking University Third Hospital from 2014 to 2019 in Beijing, China. Generalized additive models with quasi-Poisson regression were performed to analyze the association of O3, NO2 and their composite indicators (Ox and Oxwt) with ERVs for respiratory diseases. An interaction model was further performed to evaluate the interaction between O3 and NO2. RESULTS Exposure to O3, NO2, Ox and Oxwt was positively associated with ERVs for total respiratory diseases and acute upper respiratory infection (AURI). For instance, a 10 μg/m3 increase in O3 and NO2 were associated with 0.93% (95%CI: 0.05%, 1.81%) and 5.87% (95%CI: 3.92%, 7.85%) increase in AURI at lag0-5 days, respectively. Significant linear exposure-response relationships were observed in Ox and Oxwt over the entire concentration range. In stratification analysis, stronger associations were observed in the group aged < 18 years for both O3 and NO2, in the warm season for O3, but in the cold season for NO2. In interaction analysis, the effect of O3 on total respiratory emergency room visits and AURI visits was the strongest at high levels (> 75% quantile) of NO2 in the < 18 years group. CONCLUSIONS Short-term exposure to O3 and NO2 was positively associated with ERVs for respiratory diseases, particularly in younger people (< 18 years). This study for the first time demonstrated the synergistic effect of O3 and NO2 on respiratory ERVs, and Ox and Oxwt may be potential proxies.
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Affiliation(s)
- Yuanwei Fu
- grid.411642.40000 0004 0605 3760Emergency Department, Peking University Third Hospital, Beijing, 100191 China
| | - Wenlou Zhang
- grid.11135.370000 0001 2256 9319Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191 China
| | - Yan Li
- grid.411642.40000 0004 0605 3760Emergency Department, Peking University Third Hospital, Beijing, 100191 China
| | - Hongyu Li
- grid.11135.370000 0001 2256 9319Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191 China
| | - Furong Deng
- grid.11135.370000 0001 2256 9319Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191 China
| | - Qingbian Ma
- grid.411642.40000 0004 0605 3760Emergency Department, Peking University Third Hospital, Beijing, 100191 China
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22
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Zhao Y, An X, Sun Z, Li Y, Hou Q. Identification of Health Effects of Complex Air Pollution in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12652. [PMID: 36231950 PMCID: PMC9566804 DOI: 10.3390/ijerph191912652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 06/16/2023]
Abstract
After the Chinese government introduced a series of policies to strengthen the control of air pollution, the concentration of particulate matter has decreased, but the concentration of ozone has increased, and the problem of complex air pollution still exists, posing a serious threat to public health. Therefore, disentangling the health effect of multi-pollutants has been a long-discussed challenge in China. To evaluate the adverse effects of complex air pollution, a generalized additive model was used to assess the health risks of different pollution types in eight metropolises in different climates in China from 2013 to 2016. Instead of directly introducing multiple pollutant concentrations, we integrated the concentration levels of PM2.5, NO2, and O3 into a set of predictors by grouping methods and divided air pollution into three high single-pollutant types and four high multi-pollutant types to calculate mortality risk in different types. The comprehensive results showed that the impact of high multi-pollutant types on mortality risk was greater than that of high single-pollutant types. Throughout the study period, the high multi-pollutant type with high PM2.5, NO2, and O3 and the high multi-pollutant type with high PM2.5 and NO2 were more associated with death, and the highest RRs were 1.129 (1.080, 1.181) and 1.089 (1.066, 1.113), respectively. In addition, the pollution types that most threaten people are different in different cities. These differences may be related to different pollution conditions, pollutant composition, and indoor-outdoor activity patterns in different cities. Seasonally, the risk of complex air pollution is greater in most cities in the warm season than in the cold season. This may be caused by the modifying effects of high temperature on pollutants in addition to different indoor-outdoor activity patterns in different seasons. The results also show that calculating the effect of individual air pollutants separately and adding them together may lead to an overestimation of the combined effect. It further highlights the urgency and need for air pollution health research to move towards a multi-pollutant approach that considers air pollution as a whole in the context of atmospheric abatement and global warming.
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Affiliation(s)
- Yuxin Zhao
- School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China
- State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Xingqin An
- State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Zhaobin Sun
- Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
| | - Yi Li
- State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Qing Hou
- State Key Laboratory of Severe Weather of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
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Liu H, Shao X, Jiang X, Liu X, Bai P, Lin Y, Chen J, Hou F, Cui Z, Zhang Y, Lu C, Liu H, Zhou S, Yu P. Joint exposure to outdoor ambient air pollutants and incident chronic kidney disease: A prospective cohort study with 90,032 older adults. Front Public Health 2022; 10:992353. [PMID: 36187661 PMCID: PMC9524146 DOI: 10.3389/fpubh.2022.992353] [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: 07/14/2022] [Accepted: 08/18/2022] [Indexed: 01/26/2023] Open
Abstract
Objectives There is paucity of studies to investigate the association between combined and long-term exposure to air pollution and the risk of incident chronic kidney disease (CKD) in older adults. Methods A prospective cohort of 90,032 older adults who did not have CKD at baseline were followed up from January 1, 2017, to December 31, 2019. Various pollutant data, including particulate matter with diameters ≤ 2.5 mm (PM2.5), ≤ 10 mm (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), Ozone (O3), and carbon monoxide (CO), from all monitoring stations in Binhai New Area, Tianjin were considered in calculating the mean exposure concentration of each pollutant over 2 years. By summing each pollutant concentration weighted by the regression coefficients, we developed an air pollution score that assesses the combined exposure of these air pollutants. Due to the strong correlation between air pollutants, Principal Component Analysis (PCA) score was also developed. The association between air pollutants and incident CKD in the elderly was analyzed. Results A total of 90,032 subjects participated in this study with a median follow-up of 545 days. Among them, 22,336 (24.8%) developed CKD. The HR (95% CI) for air pollution score and incidence of CKD was 1.062 (1.060-1.063) and p <0.001 after adjusting for all confounders. The adjusted HRs for the quartile subgroups of combined air pollution score were: Q2: 1.064 (1.013-1.117); Q3: 1.141 (1.088-1.198); and Q4: 3.623 (3.482-3.770), respectively (p for trend <0.001). The adjusted HRs for the quartile subgroups of air quality index (AQI) were: Q2: 1.035 (0.985-1.086); Q3: 1.145 (1.091-1.201); and Q4: 3.603 (3.463-3.748), respectively (p for trend <0.001). When the risk score was over 86.9, it significantly rose in a steep curve. The subgroup analysis showed that male, younger or exercise were more likely to develop CKD. Conclusion Combined air pollution score, AQI, and PCA score were associated with an increased risk of CKD in an exposure-response relationship. Our current results might also provide evidence for developing environmental protection policies.
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Affiliation(s)
- Hongyan Liu
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Xian Shao
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Xi Jiang
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Xiaojie Liu
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Pufei Bai
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Yao Lin
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Jiamian Chen
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Fang Hou
- Community Health Service Center, Tianjin, China
| | - Zhuang Cui
- Department of Epidemiology and Health Statistics, Tianjin Medical University, Tianjin, China
| | | | - Chunlan Lu
- Community Health Service Center, Tianjin, China
| | - Hao Liu
- Community Health Service Center, Tianjin, China
| | - Saijun Zhou
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Pei Yu
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China,*Correspondence: Pei Yu
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Yu L, Liu W, Wang X, Ye Z, Tan Q, Qiu W, Nie X, Li M, Wang B, Chen W. A review of practical statistical methods used in epidemiological studies to estimate the health effects of multi-pollutant mixture. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 306:119356. [PMID: 35487468 DOI: 10.1016/j.envpol.2022.119356] [Citation(s) in RCA: 80] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 04/11/2022] [Accepted: 04/21/2022] [Indexed: 05/27/2023]
Abstract
Environmental risk factors have been implicated in adverse health effects. Previous epidemiological studies on environmental risk factors mainly analyzed the impact of single pollutant exposure on health, while in fact, humans are constantly exposed to a complex mixture consisted of multiple pollutants/chemicals. In recent years, environmental epidemiologists have sought to assess adverse health effects of exposure to multi-pollutant mixtures based on the diversity of real-world environmental pollutants. However, the statistical challenges are considerable, for instance, multicollinearity and interaction among components of the mixture complicate the statistical analysis. There is currently no consensus on appropriate statistical methods. Here we summarized the practical statistical methods used in environmental epidemiology to estimate health effects of exposure to multi-pollutant mixture, such as Bayesian kernel machine regression (BKMR), weighted quantile sum (WQS) regressions, shrinkage methods (least absolute shrinkage and selection operator, elastic network model, adaptive elastic-net model, and principal component analysis), environment-wide association study (EWAS), etc. We sought to review these statistical methods and determine the application conditions, strengths, weaknesses, and result interpretability of each method, providing crucial insight and assistance for addressing epidemiological statistical issues regarding health effects from multi-pollutant mixture.
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Affiliation(s)
- Linling Yu
- Department of Occupational and 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, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Wei Liu
- Department of Occupational and 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, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xing Wang
- Department of Occupational and 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, and 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 and 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, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Qiyou Tan
- Department of Occupational and 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, and 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 Qiu
- Department of Occupational and 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, and 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 and 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, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Minjing Li
- Department of Occupational and 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, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Bin Wang
- Department of Occupational and 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, and 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 and 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, and 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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25
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Lagunas‐Rangel FA, Linnea‐Niemi JV, Kudłak B, Williams MJ, Jönsson J, Schiöth HB. Role of the Synergistic Interactions of Environmental Pollutants in the Development of Cancer. GEOHEALTH 2022; 6:e2021GH000552. [PMID: 35493962 PMCID: PMC9036628 DOI: 10.1029/2021gh000552] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 03/01/2022] [Accepted: 04/04/2022] [Indexed: 05/08/2023]
Abstract
There is a growing awareness that the large number of environmental pollutants we are exposed to on a daily basis are causing major health problems. Compared to traditional studies that focus on individual pollutants, there are relatively few studies on how pollutants mixtures interact. Several studies have reported a relationship between environmental pollutants and the development of cancer, even when pollutant levels are below toxicity reference values. The possibility of synergistic interactions between different pollutants could explain how even low concentrations can cause major health problems. These intricate that molecular interactions can occur through a wide variety of mechanisms, and our understanding of the physiological effects of mixtures is still limited. The purpose of this paper is to discuss recent reports that address possible synergistic interactions between different types of environmental pollutants that could promote cancer development. Our literature studies suggest that key biological pathways are frequently implicated in such processes. These include increased production of reactive oxygen species, activation by cytochrome P450, and aryl hydrocarbon receptor signaling, among others. We discuss the need to understand individual pathological vulnerability not only in relation to basic genetics and gene expression, but also in terms of measurable exposure to contaminants. We also mention the need for significant improvements in future studies using a multitude of disciplines, such as the development of high-throughput study models, better tools for quantifying pollutants in cancer patients, innovative pharmacological and toxicological studies, and high-efficiency computer analysis, which allow us to analyze the molecular mechanisms of mixtures.
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Affiliation(s)
| | - Jenni Viivi Linnea‐Niemi
- Department of Surgical Sciences, Functional Pharmacology and NeuroscienceUppsala UniversityUppsalaSweden
| | - Błażej Kudłak
- Faculty of ChemistryDepartment of Analytical ChemistryGdańsk University of TechnologyGdańskPoland
| | - Michael J. Williams
- Department of Surgical Sciences, Functional Pharmacology and NeuroscienceUppsala UniversityUppsalaSweden
| | - Jörgen Jönsson
- Department of Surgical Sciences, Functional Pharmacology and NeuroscienceUppsala UniversityUppsalaSweden
| | - Helgi B. Schiöth
- Department of Surgical Sciences, Functional Pharmacology and NeuroscienceUppsala UniversityUppsalaSweden
- Institute of Translational Medicine and BiotechnologyI. M. Sechenov First Moscow State Medical UniversityMoscowRussia
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26
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Prolonged Inhalation Exposure to Coal Dust on Irradiated Rats and Consequences. ScientificWorldJournal 2022; 2022:8824275. [PMID: 35153629 PMCID: PMC8828334 DOI: 10.1155/2022/8824275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 12/17/2021] [Accepted: 12/23/2021] [Indexed: 11/21/2022] Open
Abstract
The purposes of this study were to research immune system changes and liver and lung tissues in irradiated rats after prolonged exposure to coal dust. A study was carried out on 30 male Wistar rats that were divided into 3 groups: group I, intact animals; group II, exposure to coal dust and 0.2 Gy γ-irradiation; and group III, combined exposure to 6 Gy γ-irradiation and coal dust. The combination of a low and sublethal dose of γ-irradiation with coal dust leads to a significant change in immunity at the remote period. Particularly, the increase in radioactivity at the combined effect causes weakening of phagocytosis, and reduction in T lymphocytes by a factor of 2, immunoglobulin imbalance, and cytokine dysfunction develop secondary immune failure. During prolonged inhalation with coal dust of irradiated animals with the dose of 0.2 Gy, fibrosis and perivascular sclerosis of the bronchial wall of the lungs are formed, and perivascular fibrosis is formed in the liver. The increase in exposure dose up to 6 Gy in combination with coal, in the distant period, caused pulmonary hypertension amid hypertrophy of light arterial vessels and fibrous changes in arteriole, and destructive changes and collection necrosis develop in liver parenchyma. In the case of dust radiation synergy, the increase in doses leads to a significant immune deficiency, which occurs according to the “dose effect” principle; increases damage to animal tissues; and leads to liver tissue necrosis, pulmonary fibrosis, and pulmonary hypertension.
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27
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Colafarina S, Di Carlo P, Zarivi O, Aloisi M, Di Serafino A, Aruffo E, Arrizza L, Limongi T, Poma A. Genotoxicity Response of Fibroblast Cells and Human Epithelial Adenocarcinoma In Vitro Model Exposed to Bare and Ozone-Treated Silica Microparticles. Cells 2022; 11:226. [PMID: 35053344 PMCID: PMC8773945 DOI: 10.3390/cells11020226] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/03/2022] [Accepted: 01/05/2022] [Indexed: 12/04/2022] Open
Abstract
Indoor air pollutants (IAP), which can pose a serious risk to human health, include biological pollutants, nitric oxide (NO), nitrogen dioxide (NO2), volatile organic compounds (VOC), sulfur dioxide (SO2), carbon monoxide (CO), carbon dioxide (CO2), silica, metals, radon, and particulate matter (PM). The aim of our work is to conduct a multidisciplinary study of fine silica particles (<2.5 μm) in the presence or absence of ozone (O3), and evaluate their potential cytotoxicity using MTS, micronucleus, and the comet test in two cell lines. We analyzed A549 (human basal alveolar epithelial cell adenocarcinoma) and Hs27 (human normal fibroblasts) exposed to dynamic conditions by an IRC simulator under ozone flow (120 ppb) and in the presence of silica particles (40 μg/h). The viability of A549 and Hs27 cells at 48 and 72 h of exposure to silica or silica/ozone decreases, except at 72 h in Hs27 treated with silica/ozone. The micronucleus and comet tests showed a significant increase in the number of micronuclei and the % of DNA in the queue, compared to the control, in both lines in all treatments, even if in different cell times/types. We found that silica alone or with more O3 causes more pronounced genotoxic effects in A549 tumor cells than in normal Hs27 fibroblasts.
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Affiliation(s)
- Sabrina Colafarina
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (S.C.); (O.Z.); (M.A.); (L.A.)
| | - Piero Di Carlo
- Department of Psychological, Health and Territorial Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (P.D.C.); (A.D.S.); (E.A.)
- Center for Advanced Studies and Technology-CAST, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy
| | - Osvaldo Zarivi
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (S.C.); (O.Z.); (M.A.); (L.A.)
| | - Massimo Aloisi
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (S.C.); (O.Z.); (M.A.); (L.A.)
| | - Alessandra Di Serafino
- Department of Psychological, Health and Territorial Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (P.D.C.); (A.D.S.); (E.A.)
| | - Eleonora Aruffo
- Department of Psychological, Health and Territorial Sciences, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy; (P.D.C.); (A.D.S.); (E.A.)
- Center for Advanced Studies and Technology-CAST, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy
| | - Lorenzo Arrizza
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (S.C.); (O.Z.); (M.A.); (L.A.)
| | - Tania Limongi
- Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy;
| | - Anna Poma
- Department of Life, Health and Environmental Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (S.C.); (O.Z.); (M.A.); (L.A.)
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28
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Liu Q, Shkirkova K, Lamorie-Foote K, Connor M, Patel A, Babadjouni R, Huuskonen M, Montagne A, Baertsch H, Zhang H, Chen JC, Mack WJ, Walcott BP, Zlokovic BV, Sioutas C, Morgan TE, Finch CE, Mack WJ. Air Pollution Particulate Matter Exposure and Chronic Cerebral Hypoperfusion and Measures of White Matter Injury in a Murine Model. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:87006. [PMID: 34424052 PMCID: PMC8382048 DOI: 10.1289/ehp8792] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 07/23/2021] [Accepted: 07/26/2021] [Indexed: 05/19/2023]
Abstract
BACKGROUND Exposure to ambient air pollution particulate matter (PM) is associated with increased risk of dementia and accelerated cognitive loss. Vascular contributions to cognitive impairment are well recognized. Chronic cerebral hypoperfusion (CCH) promotes neuroinflammation and blood-brain barrier weakening, which may augment neurotoxic effects of PM. OBJECTIVES This study examined interactions of nanoscale particulate matter (nPM; fine particulate matter with aerodynamic diameter ≤ 200 nm ) and CCH secondary to bilateral carotid artery stenosis (BCAS) in a murine model to produce white matter injury. Based on other air pollution interactions, we predicted synergies of nPM with BCAS. METHODS nPM was collected using a particle sampler near a Los Angeles, California, freeway. Mice were exposed to 10 wk of reaerosolized nPM or filtered air (FA) for 150 h. CCH was induced by BCAS surgery. Mice (C57BL/6J males) were randomized to four exposure paradigms: a) FA, b) nPM, c) FA + BCAS , and d) nPM + BCAS . Behavioral outcomes, white matter injury, glial cell activation, inflammation, and oxidative stress were assessed. RESULTS The joint nPM + BCAS group exhibited synergistic effects on white matter injury (2.3× the additive nPM and FA + BCAS scores) with greater loss of corpus callosum volume on T2 magnetic resonance imaging (MRI) (30% smaller than FA group). Histochemical analyses suggested potential microglial-specific inflammatory responses with synergistic effects on corpus callosum C5 immunofluorescent density and whole brain nitrate concentrations (2.1× and 3.9× the additive nPM and FA + BCAS effects, respectively) in the joint exposure group. Transcriptomic responses (RNA-Seq) showed greater impact of nPM + BCAS than individual additive effects, consistent with changes in proinflammatory pathways. Although nPM exposure alone did not alter working memory, the nPM + BCAS cohort demonstrated impaired working memory when compared to the FA + BCAS group. DISCUSSION Our data suggest that nPM and CCH contribute to white matter injury in a synergistic manner in a mouse model. Adverse neurological effects may be aggravated in a susceptible population exposed to air pollution. https://doi.org/10.1289/EHP8792.
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Affiliation(s)
- Qinghai Liu
- Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California, USA
| | - Kristina Shkirkova
- Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California, USA
| | - Krista Lamorie-Foote
- Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California, USA
| | - Michelle Connor
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Arati Patel
- Department of Neurological Surgery, University of California San Francisco School of Medicine, San Francisco, California, USA
| | - Robin Babadjouni
- Department of Neurological Surgery, Cedars-Sinai, Los Angeles, California, USA
| | - Mikko Huuskonen
- Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California, USA
- Department of Physiology and Neuroscience, University of Southern California, Los Angeles, California, USA
| | - Axel Montagne
- Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California, USA
- Department of Physiology and Neuroscience, University of Southern California, Los Angeles, California, USA
| | - Hans Baertsch
- Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California, USA
| | - Hongqiao Zhang
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA
| | - Jiu-Chiuan Chen
- Department of Preventative Medicine, University of Southern California, Keck School of Medicine, Los Angeles, California, USA
| | - Wendy J. Mack
- Department of Preventative Medicine, University of Southern California, Keck School of Medicine, Los Angeles, California, USA
| | - Brian P. Walcott
- Department of Neurosurgery, Northshore Neurological Institute, Evanston, Illinois, USA
| | - Berislav V. Zlokovic
- Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California, USA
- Department of Physiology and Neuroscience, University of Southern California, Los Angeles, California, USA
| | - Constantinos Sioutas
- Department of Civil and Environmental Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA
| | - Todd E. Morgan
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA
| | - Caleb E. Finch
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, California, USA
| | - William J. Mack
- Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California, USA
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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29
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Das D, Ramachandran G. Risk analysis of different transport vehicles in India during COVID-19 pandemic. ENVIRONMENTAL RESEARCH 2021; 199:111268. [PMID: 33984308 PMCID: PMC8110332 DOI: 10.1016/j.envres.2021.111268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 04/06/2021] [Accepted: 04/28/2021] [Indexed: 06/12/2023]
Abstract
Due to the airborne nature of viral particles, adequate ventilation has been identified as one suitable mitigation strategy for reducing their transmission. While 'dilution of air by opening the window' has been prescribed by national and international health agencies, unintended detrimental consequences might result in many developing countries with high ambient air pollution. In the present study, PM2.5 exposure concentration and probability of mortality due to PM2.5 in different scenarios were assessed. A COVID airborne infection risk estimator was used to estimate the probability of infection by aerosol transmission in various commuter micro-environments: (a) air conditioned (AC) taxi (b) non-AC taxi (c) bus and (d) autorickshaw. The following were the estimated exposure concentrations in the four types of vehicles during pre-lockdown, during lockdown, and lost-lockdown: AC taxi cars (17.16 μg/m3, 4.52 μg/m3, and 25.09 μg/m3); non-AC taxis: (28.74 μg/m3, 7.56 μg/m3, 42.01 μg/m3); buses (21.79 μg/m3, 5.73 μg/m3, 31.86 μg/m3) autorickshaws (51.30 μg/m3, 3.50 μg/m3, 75 μg/m3). Post-lockdown, the probability of mortality due to PM2.5 was highest for autorickshaws (5.67 × 10-3), followed by non-AC taxis (2.07 × 10-3), buses (1.39 × 10-3), and AC taxis (1.02 × 10-3). This order of risk is inverted for the probability of infection by SARS-COV-2, with the highest for AC taxis (6.10 × 10-2), followed by non-AC taxis (1.71 × 10-2), buses (1.42 × 10-2), and the lowest risk in autorickshaws (1.99 × 10-4). The findings of the present study suggest that vehicles with higher ventilation or air changes per hour (ACH) should be preferred over other modes of transport during COVID-19 pandemic.
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Affiliation(s)
- Darpan Das
- Johns Hopkins University, Bloomberg School of Public Health, Department of Environmental Health and Engineering, 615 N Wolfe St, Baltimore, MD, 21205, USA.
| | - Gurumurthy Ramachandran
- Johns Hopkins University, Bloomberg School of Public Health, Department of Environmental Health and Engineering, 615 N Wolfe St, Baltimore, MD, 21205, USA
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30
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Wang M, Zhou T, Song Y, Li X, Ma H, Hu Y, Heianza Y, Qi L. Joint exposure to various ambient air pollutants and incident heart failure: a prospective analysis in UK Biobank. Eur Heart J 2021; 42:1582-1591. [PMID: 33527989 PMCID: PMC8060055 DOI: 10.1093/eurheartj/ehaa1031] [Citation(s) in RCA: 118] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 09/18/2020] [Accepted: 12/07/2020] [Indexed: 12/12/2022] Open
Abstract
AIMS Little is known about the relation between the long-term joint exposure to various ambient air pollutants and the incidence of heart failure (HF). We aimed to assess the joint association of various air pollutants with HF risk and examine the modification effect of the genetic susceptibility. METHODS AND RESULTS This study included 432 530 participants free of HF, atrial fibrillation, or coronary heart disease in the UK Biobank study. All participants were enrolled from 2006 to 2010 and followed up to 2018. The information on particulate matter (PM) with diameters ≤2.5 µm (PM2.5), ≤10 µm (PM10), and between 2.5 and 10 µm (PM2.5-10) as well as nitrogen oxides (NO2 and NOx) was collected. We newly proposed an air pollution score to assess the joint exposure to the five air pollutants through summing each pollutant concentration weighted by the regression coefficients with HF from single-pollutant models. We also calculated the weighted genetic risk score of HF. During a median of 10.1 years (4 346 642 person-years) of follow-up, we documented 4201 incident HF. The hazard ratios (HRs) [95% confidence interval (CI)] of HF for a 10 µg/m3 increase in PM2.5, PM10, PM2.5-10, NO2, and NOx were 1.85 (1.34-2.55), 1.61 (1.30-2.00), 1.13 (0.80-1.59), 1.10 (1.04-1.15), and 1.04 (1.02-1.06), respectively. We found that the air pollution score was associated with an increased risk of incident HF in a dose-response fashion. The HRs (95% CI) of HF were 1.16 (1.05-1.28), 1.19 (1.08-1.32), 1.21 (1.09-1.35), and 1.31 (1.17-1.48) in higher quintile groups compared with the lowest quintile of the air pollution score (P trend <0.001). In addition, we observed that the elevated risk of HF associated with a higher air pollution score was strengthened by the genetic susceptibility to HF. CONCLUSION Our results indicate that the long-term joint exposure to various air pollutants including PM2.5, PM10, PM2.5-10, NO2, and NOx is associated with an elevated risk of incident HF in an additive manner. Our findings highlight the importance to comprehensively assess various air pollutants in relation to the HF risk.
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Affiliation(s)
- Mengying Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Tao Zhou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
| | - Yongze Song
- School of Design and the Built Environment, Curtin University, Kent Street, Bentley, Perth, Western Australia 6102, Australia
| | - Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
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Li J, Wang Y, Yin P, Huang J, Wu Z, Cao R, Wang L, Zeng Q, Pan X, Li G, Zhou M. The burden of sulfur dioxide pollution on years of life lost from chronic obstructive pulmonary disease: A nationwide analysis in China. ENVIRONMENTAL RESEARCH 2021; 194:110503. [PMID: 33221304 DOI: 10.1016/j.envres.2020.110503] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 10/31/2020] [Accepted: 11/16/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Sulfur dioxide (SO2) is one of the major gaseous pollutants in China and other developing countries. Few multicity studies have been done to examine the short-term effect of SO2 on cause-specific years of life lost (YLL). This study was designed to investigate the burden of chronic obstructive pulmonary disease (COPD) associated with SO2 exposure. METHODS A 5-year time-series study was conducted in 48 Chinese cities from 2013 to 2017. Generalized additive models were first used to estimate the city-specific relationship. Then, random-effects meta-analyses were applied to pool the estimates. Furthermore, the roles of potential modifiers and the related economic loss estimated by the method of value per statistical life year were also evaluated. RESULTS The annual mean concentration of SO2 was 27.1 μg/m3. A 10 μg/m3 increase in 4-day moving average (lag03) of SO2 concentration was associated with 0.83% (95% CI: 0.13%, 1.53%) relative increment in YLL from COPD, and relevant percent change of mortality was 0.78% (95% CI: 0.16%, 1.41%). Moreover, a significantly higher effect was observed in the warm season, particularly in the south region. SO2 exposure was estimated to account for 1.89% of the total economic loss due to YLL from COPD. CONCLUSIONS Our findings showed a positive association between short-term exposure to SO2 and YLL from COPD and highlighted the importance of continuous control of SO2 pollution to reduce corresponding attributable disease burden.
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Affiliation(s)
- Jie Li
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, China; National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Yuxin Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Ziting Wu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Ru Cao
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Qiang Zeng
- Department of Occupational Disease Control and Prevention, Tianjin Center for Disease Control and Prevention, Tianjin, 300011, China
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, China.
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China.
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Bortnikova SB, Yurkevich NV, Gaskova OL, Devyatova AY, Novikova II, Volynkin SS, Mytsik AV, Podolinnaya VA. Element transfer by a vapor-gas stream from sulfide mine tailings: from field and laboratory evidence to thermodynamic modeling. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:14927-14942. [PMID: 33219930 DOI: 10.1007/s11356-020-11529-x] [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: 07/17/2020] [Accepted: 11/03/2020] [Indexed: 06/11/2023]
Abstract
Condensates of vapor-gas streams were collected during field and laboratory experiments for the determination of the volatility of chemical elements in sulfide tailings under ambient conditions. The object of research was the Ursk waste heaps (Kemerovo region, Russia). Field experiments were performed on the top of the heap and in neighboring territories; the elements' concentrations in condensates from the top exceed the background values in 2-3 orders of magnitude. To obtain condensates in the laboratory, the waste material was heated to 60 °С. Laboratory condensate-contended high concentrations Ca, Mg, but Fe, Cd, Mo, Sn, Zr, and W were lower by more than 2 orders of magnitude. Also, chemical elements such as Au, Zr, Cs, U, and Tl were determined in the laboratory condensates at elevated temperatures. Also, solid samples were leached with water at the laboratory. A high positive correlation of condensate compositions with compositions of water extracts obtained from parallel samples was established. The most mobile elements transferred in the steam-gas phase are alkaline (Li, Cs, Na, K), alkaline earth (Ca, Sr), chalcophile metals (Hg, Zn, Cu), and metalloids (As, Sb, Se). The numerical experiment of metal transfer forms using thermodynamic modeling methods has been performed, including those with organic ligands.
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Affiliation(s)
- Svetlana Borisovna Bortnikova
- Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of Russian Academy of Sciences, Koptug ave. 3, Novosibirsk, Russia, 630090
| | - Nataliya Victorovna Yurkevich
- Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of Russian Academy of Sciences, Koptug ave. 3, Novosibirsk, Russia, 630090
| | - Olga Lukinichna Gaskova
- Sobolev Institute of Geology and Mineralogy, Siberian Branch of the Russian Academy of Sciences, Koptug ave. 3, Novosibirsk, Russia, 630090
| | - Anna Yurevna Devyatova
- Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of Russian Academy of Sciences, Koptug ave. 3, Novosibirsk, Russia, 630090.
| | - Irina Igorevna Novikova
- Novosibirsk Research Institute of Hygiene Rospotrebnadzor, Parkhomenko str.7, Novosibirsk, Russia, 630108
| | - Sergei Sergeevich Volynkin
- Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of Russian Academy of Sciences, Koptug ave. 3, Novosibirsk, Russia, 630090
| | | | - Valentina Alexeevna Podolinnaya
- Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of Russian Academy of Sciences, Koptug ave. 3, Novosibirsk, Russia, 630090
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Tan X, Han L, Zhang X, Zhou W, Li W, Qian Y. A review of current air quality indexes and improvements under the multi-contaminant air pollution exposure. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 279:111681. [PMID: 33321353 DOI: 10.1016/j.jenvman.2020.111681] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 11/15/2020] [Accepted: 11/15/2020] [Indexed: 05/22/2023]
Abstract
The air quality is one of the major concerns in the urban environment due to the rapid changes in pollutant emissions driven by complex and intensive human activities. Therefore, quantification of the urban air quality has become an essential need for both urban residents and authorities to quickly assess air quality conditions. To reach this aim, the air quality index (AQI) is the primary way to better understand the urban air quality. However, the varied AQIs in different countries are difficult to directly compare due to the varied calculation methods. Thus, this research presents an updated review of the major AQIs worldwide by dividing them into two categories: single- and multi-contaminant-oriented AQIs. Single-contaminant-oriented AQIs are based on the maximum value of individual pollutants and are applied in most countries with location-dependent standards, such as the United States, China, the United Kingdom and New South Wales, Australia. However, these may greatly underestimate the impact of multiple contaminants, be difficult to dynamically update or to be compared internationally. Moreover, multi-contaminant-oriented AQIs are available in the literature, which consider the combined effects of exposure to multiple contaminants. Among these AQIs, arithmetic pollutant aggregation simply integrates pollutants in a linear or nonlinear way, and weighted pollutant aggregation further assigns varied weights from different perspectives. Combining the advantages and disadvantages of the existing AQIs, the general air quality health index (GAQHI) is proposed as a pollutant-aggregated, local health-based AQI paradigm suitable for the present complex multi-contaminant situation. It provides a direction for the construction of a more accurate, consistent and comparable AQI system and can help both researchers and governments improve human well-being and achieve sustainable development.
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Affiliation(s)
- Xiaorui Tan
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Lijian Han
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Xiaoyan Zhang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; School of Geography and Tourism, Shanxi Normal University, Xi'an, 710119, China.
| | - Weiqi Zhou
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Beijing Urban Ecosystem Research Station, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
| | - Weifeng Li
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Yuguo Qian
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
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Tinant G, Neefs I, Das K, Rees JF, Larondelle Y, Debier C. Methylmercury displays pro-adipogenic properties in rainbow trout preadipocytes. CHEMOSPHERE 2021; 263:127917. [PMID: 33297014 DOI: 10.1016/j.chemosphere.2020.127917] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 07/27/2020] [Accepted: 08/03/2020] [Indexed: 06/12/2023]
Abstract
Methylmercury (MeHg) is a ubiquitous contaminant largely found in aquatic environments, especially in species at high trophic level such as salmonids. The aim of this study was to evaluate the effects of MeHg on adipocyte differentiation and lipid metabolism in rainbow trout. Primary cultured preadipocytes were exposed to increasing concentrations of MeHg during six days with or without a hormonal cocktail. Main results showed a dose-dependent intracellular accumulation of neutral lipids with a preferential uptake of n-3 polyunsaturated fatty acids. Interestingly, this accumulation occurred after a fairly low uptake of MeHg by preadipocytes and was maintained after the cellular exposure to MeHg. In membrane phospholipids, arachidonic acid (20:4 n-6) was released in a dose-dependent manner. At the transcriptional level, the expression of several adipocyte-specific genes (perilipin 2 and apolipoprotein Eb) as well as lipid-related genes (fatty acid synthase and fatty acid binding protein 11a) was up-regulated in preadipocytes exposed to MeHg. These results highlight for the first time the disrupting effect of MeHg in trout adipocyte metabolism, providing new insights regarding the role of environmental pollutants in adipose tissue dysfunction and related pathologies.
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Affiliation(s)
- Gilles Tinant
- Louvain Institute of Biomolecular Science and Technology (LIBST), Université catholique de Louvain, Croix Du Sud 4-5/L7.07.03, 1348, Louvain-la-Neuve, Belgium.
| | - Ineke Neefs
- Louvain Institute of Biomolecular Science and Technology (LIBST), Université catholique de Louvain, Croix Du Sud 4-5/L7.07.03, 1348, Louvain-la-Neuve, Belgium
| | - Krishna Das
- Laboratory of Oceanology, Université de Liège, 11 Allée Du 6 Août, B6C, 4000, Liège, Belgium
| | - Jean-François Rees
- Louvain Institute of Biomolecular Science and Technology (LIBST), Université catholique de Louvain, Croix Du Sud 4-5/L7.07.03, 1348, Louvain-la-Neuve, Belgium
| | - Yvan Larondelle
- Louvain Institute of Biomolecular Science and Technology (LIBST), Université catholique de Louvain, Croix Du Sud 4-5/L7.07.03, 1348, Louvain-la-Neuve, Belgium
| | - Cathy Debier
- Louvain Institute of Biomolecular Science and Technology (LIBST), Université catholique de Louvain, Croix Du Sud 4-5/L7.07.03, 1348, Louvain-la-Neuve, Belgium.
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Ferrari F, Dunson DB. IDENTIFYING MAIN EFFECTS AND INTERACTIONS AMONG EXPOSURES USING GAUSSIAN PROCESSES. Ann Appl Stat 2020; 14:1743-1758. [PMID: 34630816 PMCID: PMC8500234 DOI: 10.1214/20-aoas1363] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
This article is motivated by the problem of studying the joint effect of different chemical exposures on human health outcomes. This is essentially a nonparametric regression problem, with interest being focused not on a black box for prediction but instead on selection of main effects and interactions. For interpretability we decompose the expected health outcome into a linear main effect, pairwise interactions and a nonlinear deviation. Our interest is in model selection for these different components, accounting for uncertainty and addressing nonidentifiability between the linear and nonparametric components of the semiparametric model. We propose a Bayesian approach to inference, placing variable selection priors on the different components, and developing a Markov chain Monte Carlo (MCMC) algorithm. A key component of our approach is the incorporation of a heredity constraint to only include interactions in the presence of main effects, effectively reducing dimensionality of the model search. We adapt a projection approach developed in the spatial statistics literature to enforce identifiability in modeling the nonparametric component using a Gaussian process. We also employ a dimension reduction strategy to sample the nonlinear random effects that aids the mixing of the MCMC algorithm. The proposed MixSelect framework is evaluated using a simulation study, and is illustrated using data from the National Health and Nutrition Examination Survey (NHANES). Code is available on GitHub.
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Wren SN, Mihele CM, Lu G, Jiang Z, Wen D, Hayden K, Mittermeier RL, Staebler RM, Cober SG, Brook JR. Improving Insights on Air Pollutant Mixtures and Their Origins by Enhancing Local Monitoring in an Area of Intensive Resource Development. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:14936-14945. [PMID: 33186032 DOI: 10.1021/acs.est.0c06055] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
An "event-based" approach to characterize complex air pollutant mixtures was applied in the Oil Sands region of northern Alberta, Canada. This approach was developed to better-inform source characterization and attribution of the air pollution in the Indigenous community of Fort McKay, within the context of the lived experience of residents. Principal component analysis was used to identify the characteristics of primary pollutant mixtures, which were related to hydrocarbon emissions, fossil fuel combustion, dust, and oxidized and reduced sulfur compounds. Concentration distributions of indicator compounds were used to isolate sustained air pollution "events". Diesel-powered vehicles operating in the mines were found to be an important source during NOx events. Industry-specific volatile organic compound (VOC) profiles were used in a chemical mass balance model for source apportionment, which revealed that nearby oil sands operations contribute to 86% of the total mass of nine VOC species (2-methylpentane, hexane, heptane, octane, benzene, toluene, m,p-xylene, o-xylene, and ethylbenzene) during VOC events. Analyses of the frequency distribution of air pollution events indicate that Fort McKay is regularly impacted by multiple mixtures simultaneously, underscoring the limitations of an exceedance-based approach relying on a small number of air quality standards as the only tool to assess risk.
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Affiliation(s)
- Sumi N Wren
- Air Quality Processes Research Section, Air Quality Research Division, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada
| | - Cris M Mihele
- Air Quality Processes Research Section, Air Quality Research Division, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada
| | - Gang Lu
- Air Quality Processes Research Section, Air Quality Research Division, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada
| | - Zhimei Jiang
- Air Quality Processes Research Section, Air Quality Research Division, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada
| | - Deyong Wen
- Air Quality Processes Research Section, Air Quality Research Division, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada
| | - Katherine Hayden
- Air Quality Processes Research Section, Air Quality Research Division, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada
| | - Richard L Mittermeier
- Air Quality Processes Research Section, Air Quality Research Division, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada
| | - Ralf M Staebler
- Air Quality Processes Research Section, Air Quality Research Division, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada
| | - Stewart G Cober
- Air Quality Processes Research Section, Air Quality Research Division, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada
| | - Jeffrey R Brook
- Air Quality Processes Research Section, Air Quality Research Division, Environment and Climate Change Canada, 4905 Dufferin Street, Toronto, Ontario M3H 5T4, Canada
- Dalla Lana School of Public Health and Department of Chemical Engineering and Applied Chemistry, University of Toronto, 223 College Street, Toronto, Ontario M5T 1R4, Canada
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Temporal Trend of PM10 and Associated Human Health Risk over the Past Decade in Cluj-Napoca City, Romania. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10155331] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The human health risk associated with PM10 exposure was assessed for the residents of Cluj-Napoca city, Romania, for a best case-scenario based on the monthly average PM10 and for a worst-case scenario based on the monthly 90th percentile of PM10 concentration. As no toxicity value for PM10 was available, for the calculation of the hazard quotient, the toxicity value was considered to be equal to the annual limit value (40 µm/m3) set in the European Union (EU), and to air quality guidelines (20 µm/m3) set by the World Health Organization (WHO). The daily PM10 concentrations for the period 2009–2019, at the four monitoring stations existing in Cluj-Napoca, were obtained from the National Air Quality Monitoring Network. The annual PM10 values ranged between 20.3 and 29.5 µg/m3, and were below the annual limit value (40 µg/m3) set by European and national legislation, but above the annual air quality guideline (20 µg/m3) set by WHO. Generally, the monthly PM10 concentrations were higher from October to March than in the rest of the year. The monthly air quality index (AQI) showed the good to moderate quality of the air during the whole decade; however, there were days when the air quality was unhealthy for sensitive population groups. The air quality was more or less constant during the warm months, and improved significantly for the cold months from 2009 to 2019. In the best-case scenario, calculated using the EU annual limit value for PM10, the potential non-carcinogenic chronic health risk was present only in 2009 and 2010, but in the worst-case scenario, in each year there were periods, especially in the cold months, in which health risk was present. When considering the WHO air quality guidelines in the calculation of the health risk, the potential non-carcinogenic chronic health risk was present between October and March in each year in the best-case scenario, and in most of the months in the worst-case scenario.
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REN Q, LI S, XIAO C, ZHANG J, LIN H, WANG S. The Impact of Air Pollution on Hospitalization for Cardiovascular and Cerebrovascular Disease in Shenyang, China. IRANIAN JOURNAL OF PUBLIC HEALTH 2020; 49:1476-1484. [PMID: 33083324 PMCID: PMC7554401 DOI: 10.18502/ijph.v49i8.3891] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 11/25/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND The aim of this study was to investigate the overall impact of PM2.5, PM10, NO2, SO2, CO, and O3 on the admission of cardiovascular and cerebrovascular disease. METHODS We collected data on cardiovascular and cerebrovascular disease admissions from two hospitals in Shenyang Liaoning, China from Jan 2014 to Dec 2017, as well as daily measurements of six pollutants at 11 sites in Shenyang. The generalized additive model was used to assess the association between daily contaminants and admission to cardiovascular and cerebrovascular disease. RESULTS The single-contamination model showed a significant correlation between NO2, O3, PM10 and cardiovascular and cerebrovascular diseases at lag0 day. Air pollutants had lag effects on different gender groups. Excess relative risks (ERs) associated with a 10 μg/m3 increase were 1.522(1.057, 1.988) on lag02 for NO2, 0.547% (0.367%, 0.728%), 0.133% (0.061%, 0.205%) on lag3 for O3 and PM10. The dual pollutant model showed that the effects of NO2, O3, and PM10 after adjusting the influence of other pollutants were still statistically significant. CONCLUSION Short-term exposure to ambient air pollution (NO2, O3, and PM10) may be associated with an increased risk of daily cardiovascular and cerebrovascular admission, which may provide reliable evidence for further understanding of the potential adverse effects of air pollution on cardiovascular and cerebrovascular diseases.
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Affiliation(s)
- Qingquan REN
- Department of Labor and Environmental Hygiene, Shenyang Medical College, Liaoning 110034, P.R. China
- Key Laboratory of Environmental Pollution and Microecology of Liaoning Province, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
| | - Shuyin LI
- Key Laboratory of Environmental Pollution and Microecology of Liaoning Province, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
- Department of Pathogenic Biology, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
| | - Chunling XIAO
- Key Laboratory of Environmental Pollution and Microecology of Liaoning Province, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
- Department of Pathogenic Biology, Shenyang Medical College, Shenyang, Liaoning 110034, P.R. China
| | - Jiazhi ZHANG
- Shenyang Environmental Monitoring Center Station, Shenyang, Liaoning 110016, P.R. China
| | - Hong LIN
- Shenyang Environmental Monitoring Center Station, Shenyang, Liaoning 110016, P.R. China
| | - Shuai WANG
- Shenyang Environmental Monitoring Center Station, Shenyang, Liaoning 110016, P.R. China
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Rose M, Filiatreault A, Guénette J, Williams A, Thomson EM. Ozone increases plasma kynurenine-tryptophan ratio and impacts hippocampal serotonin receptor and neurotrophic factor expression: Role of stress hormones. ENVIRONMENTAL RESEARCH 2020; 185:109483. [PMID: 32278163 DOI: 10.1016/j.envres.2020.109483] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 03/31/2020] [Accepted: 04/01/2020] [Indexed: 06/11/2023]
Abstract
Air pollution is associated with adverse impacts on the brain, including cognitive decline and increased incidence of dementia, depression and anxiety; however, underlying mechanisms remain unclear. We have shown that both ozone and particulate matter activate the hypothalamic-pituitary-adrenal (HPA) axis, increasing plasma glucocorticoids and altering mRNA profiles in multiple tissues including the brain. HPA axis dysregulation has been associated with central nervous system impacts, including key effects in the hippocampus; accordingly, we hypothesized that pollutant-dependent increases in glucocorticoid levels impact biological pathways relevant to brain health. Fischer-344 rats were treated with metyrapone (0 or 50 mg/kg), a glucocorticoid synthesis inhibitor, and exposed to ozone (0 or 0.8 ppm) for 4 h (n = 5/group) to investigate the role of glucocorticoids in ozone-dependent effects on tryptophan metabolism and expression of serotonin receptors and neurotrophic factors. Ozone increased plasma levels of the tryptophan metabolite kynurenine (~2-fold) and decreased tryptophan levels (~1.2 fold). Hippocampal expression of serotonin receptors exhibited differential regulation following exposure, and expression of key neurotrophic factors (brain-derived neurotrophic factor, vascular endothelial growth factor A, insulin-like growth factor-1, tyrosine kinase receptor B, b-cell lymphoma 2) was decreased. Some, but not all effects were abrogated by metyrapone treatment, suggesting both glucocorticoid-dependent and -independent regulation. Exposure to exogenous corticosterone (10 mg/kg) followed by clean air reproduced the ozone effects that were blocked with metyrapone, confirming the specificity of effects to glucocorticoids. These results indicate that ozone can modify pathways relevant to brain health and establish a role for the HPA axis in mediating these effects.
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Affiliation(s)
- Mercedes Rose
- Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, K1A 0K9, Canada; Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, K1H 8M5, Canada
| | - Alain Filiatreault
- Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, K1A 0K9, Canada
| | - Josée Guénette
- Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, K1A 0K9, Canada
| | - Andrew Williams
- Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, K1A 0K9, Canada
| | - Errol M Thomson
- Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, K1A 0K9, Canada; Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, K1H 8M5, Canada.
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Yin H, Truskewycz A, Cole IS. Quantum dot (QD)-based probes for multiplexed determination of heavy metal ions. Mikrochim Acta 2020; 187:336. [PMID: 32430591 DOI: 10.1007/s00604-020-04297-5] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 04/23/2020] [Indexed: 02/07/2023]
Abstract
Heavy metal contamination is a major global concern and additive toxicity resulting from the exposure to multiple heavy metal ions is more pronounced than that induced by a single metal species. Quantum dots (QDs) have demonstrated unique properties as sensing materials for heavy metal ions over the past two decades. With the rapid development and deep understanding on determination of single heavy metal ion using QD probes, this technology has been employed for sensing multiple metal ions. This review (with 97 refs.) summarizes the progress made in recent years in methods for multiplexed determination of heavy metal ions using QDs. Following an introduction into the importance of simultaneous quantitation of multiple heavy metal ions in environmentally relevant settings, the review discusses the applications of different types of QDs, i.e. chalcogenide, carbon, polymer and graphene in this field. Determination strategies based on fluorometric, colorimetric and electrochemical responses were reviewed including the testing mechanisms and differentiation between various metal ions. In addition, current state of the art sensor constructions, i.e. immobilization of QDs on solid substrate and sensor arrays have been highlighted. A concluding section describes the limitations, opportunities and future challenges of the QD probes. We also compiled a comprehensive table of currently available literature. The listed papers provided information in the following categories, i.e. type of QDs used, ligands or other components in the probe, metal ions tested, medium/substrate of the probe, transduction methods, discrimination mechanism, limit of detection (LOD) and concentration range. Graphic abstract.
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Affiliation(s)
- Hong Yin
- Advanced Manufacturing and Fabrication, School of Engineering, RMIT University, Melbourne, VIC, 3000, Australia.
| | - Adam Truskewycz
- Advanced Manufacturing and Fabrication, School of Engineering, RMIT University, Melbourne, VIC, 3000, Australia
| | - Ivan S Cole
- Advanced Manufacturing and Fabrication, School of Engineering, RMIT University, Melbourne, VIC, 3000, Australia
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41
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Jayasinghe S, Zhu YG. Chronic kidney disease of unknown etiology (CKDu): Using a system dynamics model to conceptualize the multiple environmental causative pathways of the epidemic. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 705:135766. [PMID: 31841920 DOI: 10.1016/j.scitotenv.2019.135766] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Revised: 11/24/2019] [Accepted: 11/24/2019] [Indexed: 06/10/2023]
Abstract
A chronic kidney disease of unknown etiology is devastating agricultural communities of Sri Lanka, Central America, areas of India, and Egypt. Researchers are yet to agree on its etio-pathogenesis despite many cross-sectional, case-control and cohort studies done in these countries. These approaches are broadly based on a reductionist approach. We propose a complementary paradigm based on complexity science to deepen our understanding of the disease. Complexity science views a population as system that has several dynamically interacting and inter-dependent sub-systems and is 'open' to the 'outer' environment. Health outcomes or epidemics are viewed as 'emergent' properties of the population. Using available literature from Sri Lanka, the paper presents a system dynamics model incorporating exposures from pesticides and heavy metals, drinking hard water with high levels of fluoride, poverty, low birth weight, micronutrient deficiencies and heat stress. This approach can be used to model the epidemic, understand the impacts of different factors, predict potential populations at risk, and formulate multi-pronged prevention strategies that target leverage points of the system.
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Affiliation(s)
- Saroj Jayasinghe
- Department of Clinical Medicine, University of Colombo, Colombo, Sri Lanka.
| | - Yong-Guan Zhu
- Environmental Soil Science and Biogeochemistry, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
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42
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An Air Quality Health Index (AQHI) with Different Health Outcomes Based on the Air Pollution Concentrations in Stockholm during the Period of 2015–2017. ATMOSPHERE 2020. [DOI: 10.3390/atmos11020192] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The Air Quality Health Index (AQHI) is a tool that has been developed in order to address the health effects caused by simultaneous exposure to several different air pollutants. Short-term health effects in terms of mortality or morbidity are used in order to construct an index. In this study, different indexes for different health outcomes, based on the concentrations of NO2, O3, and PM10 at an urban background measuring station in Stockholm during the period of 2015–2017, are calculated by using different risk-coefficients obtained from a meta-analysis. An AQHI based on local risk-coefficients for asthma emergency department visits (AEDV) in Stockholm is also included in the analysis. Correlation coefficients between different pairs of AQHIs, where the additive effects associated with exposure to NO2, O3, and PM10 during 2015–2017 are used, exhibit R-values as in 12 out of 15 cases exceed 0.80. However, the average risk increase for different AQHIs are very different, where indexes based on hospital admissions for asthma are larger than those based on mortality outcomes. An overall conclusion is that different AQHIs for different population groups are not needed, but the index may need to be weighted differently for different population groups.
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Thompson LC, Walsh L, Martin BL, McGee J, Wood C, Kovalcik K, Pancras JP, Haykal-Coates N, Ledbetter AD, Davies D, Cascio WE, Higuchi M, Hazari MS, Farraj AK. Ambient Particulate Matter and Acrolein Co-Exposure Increases Myocardial Dyssynchrony in Mice via TRPA1. Toxicol Sci 2020; 167:559-572. [PMID: 30351402 DOI: 10.1093/toxsci/kfy262] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Air pollution is a complex mixture of particulate matter and gases linked to adverse clinical outcomes. As such, studying responses to individual pollutants does not account for the potential biological responses resulting from the interaction of various constituents within an ambient air shed. We previously reported that exposure to high levels of the gaseous pollutant acrolein perturbs myocardial synchrony. Here, we examined the effects of repeated, intermittent co-exposure to low levels of concentrated ambient particulates (CAPs) and acrolein on myocardial synchrony and the role of transient receptor potential cation channel A1 (TRPA1), which we previously linked to air pollution-induced sensitization to triggered cardiac arrhythmia. Female B6129 and Trpa1-/- mice (n = 6/group) were exposed to filtered air (FA), CAPs (46 µg/m3 of PM2.5), Acrolein (0.42 ppm), or CAPs+Acrolein for 3 h/day, 2 days/week for 4 weeks. Cardiac ultrasound was conducted to assess cardiac synchronicity and function before and after the first exposure and after the final exposure. Heart rate variability (HRV), an indicator of autonomic tone, was assessed after the final exposure. Strain delay (time between peak strain in adjacent cardiac wall segments), an index of myocardial dyssynchrony, increased by 5-fold after the final CAPs+Acrolein exposure in B6129 mice compared with FA, CAPs, or Acrolein-exposed B6129 mice, and CAPs+Acrolein-exposed Trpa1-/- mice. Only exposure to acrolein alone increased the HRV high frequency domain (5-fold) in B6129 mice, but not in Trpa1-/- mice. Thus, repeated inhalation of pollutant mixtures may increase risk for cardiac responses compared with single or multiple exposures to individual pollutants through TRPA1 activation.
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Affiliation(s)
- Leslie C Thompson
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory
| | - Leon Walsh
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory
| | - Brandi L Martin
- Oak Ridge Institute for Science and Education, Oak Ridge, TN 37830
| | - John McGee
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory
| | - Charles Wood
- Integrated Systems Toxicology Division, National Health and Environmental Effects Research Laboratory
| | - Kasey Kovalcik
- Exposure Methods & Measurements Division, National Exposure Research Laboratory, United States Environmental Protection Agency, Research Triangle Park, North Carolina 27711
| | - Joseph Patrick Pancras
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory
| | - Najwa Haykal-Coates
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory
| | - Allen D Ledbetter
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory
| | - David Davies
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory
| | - Wayne E Cascio
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory
| | - Mark Higuchi
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory
| | - Mehdi S Hazari
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory
| | - Aimen K Farraj
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory
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Zhao X, Zhang X, Li M, Sun S, Yao L, Cao D, Huang X, Guo H, Liu X, Yu F. Repeated exposure to the irrigative wastewater in Shijiazhuang induced precancerous lesion associated with cytochrome P450. CHEMOSPHERE 2019; 237:124467. [PMID: 31549677 DOI: 10.1016/j.chemosphere.2019.124467] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 07/04/2019] [Accepted: 07/25/2019] [Indexed: 06/10/2023]
Abstract
In the present study, the carcinogenic effects of the wastewater sample collected from the Dongming Canal in Shijiazhuang city were first detected by the rat medium-term liver bioassay. The experiment contained five groups: a negative control group, a DEN-alone group, 25% wastewater, 50% wastewater, and 100% wastewater. The body weight of rats decreased significantly as the dose increased. Morphologically, we also found that the damage of the hepatic lobule was more serious and the proliferation of liver cells was more obvious as the dose increased. In addition, we observed a significantly increased liver organ coefficient in rat. With the increase in dose, the damage of the hepatocytes was more serious, which was manifested in significantly elevated of aspartate aminotransferase (AST), alanine aminotransferase (ALT), and gammaglutamyl transfer peptide enzyme (γ-GT). And, the irrigative wastewater significantly increased GST-p in the liver of rats at both the transcriptional and translational levels dose-dependently, eventually causing precancerous lesions in the liver tissues. CYP1A1 and CYP1B1 expressions in the rat liver cells at the level of transcription and translation were also significantly increased dose-dependently. Our data clearly demonstrated that the irrigative wastewater had a carcinogenetic effect that was associated with CYP1A1 and CYP1B1. The risk of carcinogenic potential to human health might be due to joint action and accumulative effects over a long period of exposure. We can also concluded that the medium-term liver bioassay could be used as an effective method for evaluating the carcinogenicity of complex water mixtures such as irrigative wastewater.
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Affiliation(s)
- Xiujun Zhao
- Department of Histology and Embryology, School of Basic Medical Science, Hebei Medical University, Hebei Medical University, Zhongshan East Road 361, Shijiazhuang, 050017, Hebei, PR China
| | - Xiaolin Zhang
- Department of Epidemiology and Hygienic Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Zhongshan East Road 361, Shijiazhuang, 050017, Hebei, PR China
| | - Man Li
- Department of Epidemiology and Hygienic Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Zhongshan East Road 361, Shijiazhuang, 050017, Hebei, PR China
| | - Suju Sun
- Department of Occupational and Environmental Health, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Zhongshan East Road 361, Shijiazhuang, 050017, Hebei, PR China
| | - Liya Yao
- Foreign Language Teaching Department of Hebei Medical University, Zhongshan East Road 361, Shijiazhuang, 050017, Hebei, PR China
| | - Dandan Cao
- Department of Epidemiology and Hygienic Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Zhongshan East Road 361, Shijiazhuang, 050017, Hebei, PR China
| | - Xinli Huang
- Department of Pathophysiology, School of Basic Medical Science, Hebei Medical University, Zhongshan East Road 361, Shijiazhuang, 050017, Hebei, PR China
| | - Huicai Guo
- Department of Toxicology, School of Public Health, Hebei Medical University, Zhongshan East Road 361, Shijiazhuang, 050017, Hebei, PR China
| | - Xuehui Liu
- Department of Occupational and Environmental Health, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Zhongshan East Road 361, Shijiazhuang, 050017, Hebei, PR China.
| | - Fengxue Yu
- Department of Science and Technology, The Central Laboratory, The Second Hospital of Hebei Medical University, Heping West Road 215, Shijiazhuang, 050000 Hebei, PR China.
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Siddika N, Rantala AK, Antikainen H, Balogun H, Amegah AK, Ryti NRI, Kukkonen J, Sofiev M, Jaakkola MS, Jaakkola JJK. Synergistic effects of prenatal exposure to fine particulate matter (PM 2.5) and ozone (O 3) on the risk of preterm birth: A population-based cohort study. ENVIRONMENTAL RESEARCH 2019; 176:108549. [PMID: 31252204 DOI: 10.1016/j.envres.2019.108549] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 06/14/2019] [Accepted: 06/18/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND There is some evidence that prenatal exposure to low-level air pollution increases the risk of preterm birth (PTB), but little is known about synergistic effects of different pollutants. OBJECTIVES We assessed the independent and joint effects of prenatal exposure to air pollution during the entire duration of pregnancy. METHODS The study population consisted of the 2568 members of the Espoo Cohort Study, born between 1984 and 1990, and living in the City of Espoo, Finland. We assessed individual-level prenatal exposure to ambient air pollutants of interest at all the residential addresses from conception to birth. The pollutant concentrations were estimated both by using regional-to-city-scale dispersion modelling and land-use regression-based method. We applied Poisson regression analysis to estimate the adjusted risk ratios (RRs) with their 95% confidence intervals (CI) by comparing the risk of PTB among babies with the highest quartile (Q4) of exposure during the entire duration of pregnancy with those with the lower exposure quartiles (Q1-Q3). We adjusted for season of birth, maternal age, sex of the baby, family's socioeconomic status, maternal smoking during pregnancy, maternal exposure to environmental tobacco smoke during pregnancy, single parenthood, and exposure to other air pollutants (only in multi-pollutant models) in the analysis. RESULTS In a multi-pollutant model estimating the effects of exposure during entire pregnancy, the adjusted RR was 1.37 (95% CI: 0.85, 2.23) for PM2.5 and 1.64 (95% CI: 1.15, 2.35) for O3. The joint effect of PM2.5 and O3 was substantially higher, an adjusted RR of 3.63 (95% CI: 2.16, 6.10), than what would have been expected from their independent effects (0.99 for PM2.5 and 1.34 for O3). The relative risk due to interaction (RERI) was 2.30 (95% CI: 0.95, 4.57). DISCUSSION Our results strengthen the evidence that exposure to fairly low-level air pollution during pregnancy increases the risk of PTB. We provide novel observations indicating that individual air pollutants such as PM2.5 and O3 may act synergistically potentiating each other's adverse effects.
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Affiliation(s)
- Nazeeba Siddika
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - Aino K Rantala
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - Harri Antikainen
- Geography Research Unit, P.O. Box 3000, 90014, University of Oulu, Oulu, Finland
| | - Hamudat Balogun
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - A Kofi Amegah
- Public Health Research Group, Department of Biomedical Sciences, University Post Office, University of Cape Coast, Cape Coast, Ghana
| | - Niilo R I Ryti
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - Jaakko Kukkonen
- Finnish Meteorological Institute, P.O. Box 503, FI-00101, Helsinki, Finland
| | - Mikhail Sofiev
- Finnish Meteorological Institute, P.O. Box 503, FI-00101, Helsinki, Finland
| | - Maritta S Jaakkola
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland
| | - Jouni J K Jaakkola
- Center for Environmental and Respiratory Health Research, Faculty of Medicine, P.O. Box 5000, FI-90014, University of Oulu, Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital, P.O. Box 8000, FI-90014, University of Oulu, Oulu, Finland.
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Sarkar S, Rivas-Santiago CE, Ibironke OA, Carranza C, Meng Q, Osornio-Vargas Á, Zhang J, Torres M, Chow JC, Watson JG, Ohman-Strickland P, Schwander S. Season and size of urban particulate matter differentially affect cytotoxicity and human immune responses to Mycobacterium tuberculosis. PLoS One 2019; 14:e0219122. [PMID: 31295271 PMCID: PMC6622489 DOI: 10.1371/journal.pone.0219122] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Accepted: 06/17/2019] [Indexed: 12/20/2022] Open
Abstract
Exposure to air pollution particulate matter (PM) and tuberculosis (TB) are two of the leading global public health challenges affecting low and middle income countries. An estimated 4.26 million premature deaths are attributable to household air pollution and an additional 4.1 million to outdoor air pollution annually. Mycobacterium tuberculosis (M.tb) infects a large proportion of the world's population with the risk for TB development increasing during immunosuppressing conditions. There is strong evidence that such immunosuppressive conditions develop during household air pollution exposure, which increases rates of TB development. Exposure to urban air pollution has been shown to alter the outcome of TB therapy. Here we examined whether in vitro exposure to urban air pollution PM alters human immune responses to M.tb. PM2.5 and PM10 (aerodynamic diameters <2.5μm, <10μm) were collected monthly from rainy, cold-dry and warm-dry seasons in Iztapalapa, a highly populated TB-endemic municipality of Mexico City with elevated outdoor air pollution levels. We evaluated the effects of seasonality and size of PM on cytotoxicity and antimycobacterial host immunity in human peripheral blood mononuclear cells (PBMC) from interferon gamma (IFN-γ) release assay (IGRA)+ and IGRA- healthy study subjects. PM10 from cold-dry and warm-dry seasons induced the highest cytotoxicity in PBMC. With the exception of PM2.5 from the cold-dry season, pre-exposure to all seasonal PM reduced M.tb phagocytosis by PBMC. Furthermore, M.tb-induced IFN-γ production was suppressed in PM2.5 and PM10-pre-exposed PBMC from IGRA+ subjects. This observation coincides with the reduced expression of M.tb-induced T-bet, a transcription factor regulating IFN-γ expression in T cells. Pre-exposure to PM10 compared to PM2.5 led to greater loss of M.tb growth control. Exposure to PM2.5 and PM10 collected in different seasons differentially impairs M.tb-induced human host immunity, suggesting biological mechanisms underlying altered M.tb infection and TB treatment outcomes during air pollution exposures.
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Affiliation(s)
- Srijata Sarkar
- Department of Environmental and Occupational Health, Rutgers University School of Public Health, Piscataway, NJ, United States of America
| | - César E. Rivas-Santiago
- Department of Environmental and Occupational Health, Rutgers University School of Public Health, Piscataway, NJ, United States of America
| | - Olufunmilola A. Ibironke
- Department of Environmental and Occupational Health, Rutgers University School of Public Health, Piscataway, NJ, United States of America
| | - Claudia Carranza
- Department of Microbiology, Instituto Nacional de Enfermedades Respiratorias, México City, México
| | - Qingyu Meng
- Department of Environmental and Occupational Health, Rutgers University School of Public Health, Piscataway, NJ, United States of America
| | | | - Junfeng Zhang
- Duke Global Health Institute and Nicholas School of the Environment, Duke University, Durham, NC, United States of America
| | - Martha Torres
- Department of Microbiology, Instituto Nacional de Enfermedades Respiratorias, México City, México
| | - Judith C. Chow
- Division of Atmospheric Sciences, Desert Research Institute, Reno, NV, United States of America
| | - John G. Watson
- Division of Atmospheric Sciences, Desert Research Institute, Reno, NV, United States of America
| | - Pamela Ohman-Strickland
- Department of Biostatistics, Rutgers University School of Public Health, Piscataway, NJ, United States of America
| | - Stephan Schwander
- Department of Environmental and Occupational Health, Rutgers University School of Public Health, Piscataway, NJ, United States of America
- Department of Urban-Global Public Health, Rutgers University School of Public Health, Newark, NJ, United States of America
- * E-mail:
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Characterizing the joint effects of pesticide exposure and criteria ambient air pollutants on pediatric asthma morbidity in an agricultural community. Environ Epidemiol 2019; 3:e046. [PMID: 31342006 PMCID: PMC6571181 DOI: 10.1097/ee9.0000000000000046] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 03/13/2019] [Indexed: 01/08/2023] Open
Abstract
Supplemental Digital Content is available in the text. Background: Environmental contributions to pediatric asthma morbidity have been studied extensively in urban settings; exposures characteristic of agricultural and rural communities have received less attention despite a comparable burden of morbidity. Methods: We obtained repeated urine samples (n = 139) from 16 school-age children with asthma in the Yakima Valley of Washington State between July and October 2012. Biomarkers of organophosphate (OP) pesticide exposure (dialkyl phosphates [DAPs]) and asthma exacerbation (leukotriene E4 [LTE4]) were analyzed in samples. Corresponding 24-hour average particulate matter <2.5 μg (PM2.5) and maximum 8-hour ozone concentration data for the study period were available from local monitoring stations. We evaluated the independent and multi-pollutant associations between LTE4 and exposure to ambient air pollutants and DAPs using generalized estimating equations. For multi-domain and multi-pollutant models, we created categorized pollution combination levels and estimated the relative health impact of exposure to pollutant mixtures. Results: In single-pollutant models, an interquartile range increase in exposures to DAPs was associated with increase in LTE4 levels (β: 4.1 [0.6–7.6] pg/mg). PM2.5 and ozone were also associated with increase in LTE4, though confidence intervals contained the null value. Increase in LTE4 levels was consistently associated with increase in median-dichotomized multi-pollutant combination exposures; the highest effect estimates were observed with joint highest (vs. the lowest) category of the three-pollutant exposure (PM2.5, ozone, and OP; β: 53.5, 95% confidence interval = 24.2, 82.8 pg/mg). Conclusion: Concurrent short-term exposure to criteria air pollutants and OPs in an agricultural community was associated with an increase in a marker of asthma morbidity.
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Blangiardo M, Pirani M, Kanapka L, Hansell A, Fuller G. A hierarchical modelling approach to assess multi pollutant effects in time-series studies. PLoS One 2019; 14:e0212565. [PMID: 30830920 PMCID: PMC6398830 DOI: 10.1371/journal.pone.0212565] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 02/05/2019] [Indexed: 11/19/2022] Open
Abstract
When assessing the short-term effect of air pollution on health outcomes, it is common practice to consider one pollutant at a time, due to their high correlation. Multi pollutant methods have been recently proposed, mainly consisting of collapsing the different pollutants into air quality indexes or clustering the pollutants and then evaluating the effect of each cluster on the health outcome. A major drawback of such approaches is that it is not possible to evaluate the health impact of each pollutant. In this paper we propose the use of the Bayesian hierarchical framework to deal with multi pollutant concentrations in a two-component model: a pollutant model is specified to estimate the ‘true’ concentration values for each pollutant and then such concentration is linked to the health outcomes in a time-series perspective. Through a simulation study we evaluate the model performance and we apply the modelling framework to investigate the effect of six pollutants on cardiovascular mortality in Greater London in 2011-2012.
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Affiliation(s)
- Marta Blangiardo
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College, St Mary’s Campus, London, United Kingdom
- * E-mail:
| | - Monica Pirani
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College, St Mary’s Campus, London, United Kingdom
| | - Lauren Kanapka
- Department of Mathematics, Imperial College, South Kensington Campus, London, United Kingdom
| | - Anna Hansell
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College, St Mary’s Campus, London, United Kingdom
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, United Kingdom
| | - Gary Fuller
- MRC-PHE Centre for Environment and Health, Environmental Research Group, King’s College, London, United Kingdom
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Pogányova A, Mičieta K, Dušička J. Genotoxic assessment of selected native plants to deferentially exposed urban ecosystems. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:9055-9064. [PMID: 30719668 DOI: 10.1007/s11356-019-04230-1] [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: 04/05/2018] [Accepted: 01/14/2019] [Indexed: 06/09/2023]
Abstract
The aim of this study is to provide an analysis of the impact of ecogenotoxicity on native flora abortivity in various urban areas. In which, there was an analysis of 5 groupings of locations with a differing environmental load intensity within the city of Bratislava (Slovakia) over a 2-year period. Our results show varying data depending on the proximity of each site relating to a direct source of pollution and the potential impact of localized wind currents on the distribution of pollutants in the urban environment. The highest value of pollen abortivity in the city was observed in a group of locations exposed to heavy traffic pollution loads. Abortivity of native flora near heavy traffic road areas correlated with the imissions data measured in the same area. Wind-exposed uncovered sites also experienced higher values of native flora abortivity. These results confirmed the varying intensity of genotoxic impact in differing localities and also suggest that xenobiotic effects on flora can occur remotely from the original source of pollution.
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Affiliation(s)
- Andrea Pogányova
- Institute of High Mountain Biology, University of Žilina, Tatranská Javorina 7, 059 56, Tatranská Javorina, Slovakia.
| | - Karol Mičieta
- Department of Botany, Faculty of Natural Sciences, Comenius University in Bratislava, Révova 39, 811 02, Bratislava 1, Slovakia
| | - Jozef Dušička
- Department of Botany, Faculty of Natural Sciences, Comenius University in Bratislava, Révova 39, 811 02, Bratislava 1, Slovakia
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50
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Levy Zamora M, Xiong F, Gentner D, Kerkez B, Kohrman-Glaser J, Koehler K. Field and Laboratory Evaluations of the Low-Cost Plantower Particulate Matter Sensor. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:838-849. [PMID: 30563344 DOI: 10.1021/acs.est.8b05174] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Due to the rapid development of low-cost air-quality sensors, a rigorous scientific evaluation has not been conducted for many available sensors. We evaluated three Plantower PMS A003 sensors when exposed to eight particulate matter (PM) sources (i.e., incense, oleic acid, NaCl, talcum powder, cooking emissions, and monodispersed polystyrene latex spheres under controlled laboratory conditions and also residential air and ambient outdoor air in Baltimore, MD). The PM2.5 sensors exhibited a high degree of precision and R2 values greater than 0.86 for all sources, but the accuracy ranged from 13 to >90% compared with reference instruments. The sensors were most accurate for PM with diameters below 1 μm, and they poorly measured PM in the 2.5-5 μm range. The accuracy of the sensors was dependent on relative humidity (RH), with decreases in accuracy at RH > 50%. The sensors were able to produce meaningful data at low and high temperatures and when in motion, as it would be if utilized for outdoor or personal monitoring applications. It was most accurate in environments with polydispersed particle sources and may not be useful in specialized environments or experiments with narrow distributions of PM or aerosols with a large proportion of coarse PM.
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Affiliation(s)
- Misti Levy Zamora
- Department of Environmental Health and Engineering , Johns Hopkins Bloomberg School of Public Health , 615 North Wolfe Street , Baltimore , Maryland 21205 , United States
| | - Fulizi Xiong
- Department of Chemical and Environmental Engineering , Yale University , 10 Hillhouse Avenue , New Haven , Connecticut 06511 , United States
| | - Drew Gentner
- Department of Chemical and Environmental Engineering , Yale University , 10 Hillhouse Avenue , New Haven , Connecticut 06511 , United States
| | - Branko Kerkez
- Civil and Environmental Engineering , University of Michigan , 2350 Hayward Street, G.G. Brown Building , Ann Arbor , Michigan 48109 , United States
| | - Joseph Kohrman-Glaser
- Department of Chemical and Environmental Engineering , Yale University , 10 Hillhouse Avenue , New Haven , Connecticut 06511 , United States
| | - Kirsten Koehler
- Department of Environmental Health and Engineering , Johns Hopkins Bloomberg School of Public Health , 615 North Wolfe Street , Baltimore , Maryland 21205 , United States
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