1
|
Williams LA, Haynes D, Sample JM, Lu Z, Hossaini A, McGuinn LA, Hoang TT, Lupo PJ, Scheurer ME. PM2.5, vegetation density, and childhood cancer: a case-control registry-based study from Texas 1995-2011. J Natl Cancer Inst 2024; 116:876-884. [PMID: 38366656 DOI: 10.1093/jnci/djae035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 01/05/2024] [Accepted: 02/09/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Air pollution is positively associated with some childhood cancers, whereas greenness is inversely associated with some adult cancers. The interplay between air pollution and greenness in childhood cancer etiology is unclear. We estimated the association between early-life air pollution and greenness exposure and childhood cancer in Texas (1995 to 2011). METHODS We included 6101 cancer cases and 109 762 controls (aged 0 to 16 years). We linked residential birth address to census tract annual average fine particulate matter <2.5 µg/m³ (PM2.5) and Normalized Difference Vegetation Index (NDVI). We estimated odds ratios (ORs) and 95% confidence intervals (CIs) between PM2.5/NDVI interquartile range increases and cancer. We assessed statistical interaction between PM2.5 and NDVI (likelihood ratio tests). RESULTS Increasing residential early-life PM2.5 exposure was associated with all childhood cancers (OR = 1.10, 95% CI = 1.06 to 1.15), lymphoid leukemias (OR = 1.15, 95% CI = 1.07 to 1.23), Hodgkin lymphomas (OR = 1.27, 95% CI = 1.02 to 1.58), non-Hodgkin lymphomas (OR = 1.24, 95% CI = 1.02 to 1.51), ependymoma (OR = 1.27, 95% CI = 1.01 to 1.60), and others. Increasing NDVI exposure was inversely associated with ependymoma (0- to 4-year-old OR = 0.75, 95% CI = 0.58 to 0.97) and medulloblastoma (OR = 0.75, 95% CI = 0.62 to 0.91) but positively associated with malignant melanoma (OR = 1.75, 95% CI = 1.23 to 2.47) and Langerhans cell histiocytosis (OR = 1.56, 95% CI = 1.07 to 2.28). There was evidence of statistical interaction between NDVI and PM2.5 (P < .04) for all cancers. CONCLUSION Increasing early-life exposure to PM2.5 increased the risk of childhood cancers. NDVI decreased the risk of 2 cancers yet increased the risk of others. These findings highlight the complexity between PM2.5 and NDVI in cancer etiology.
Collapse
Affiliation(s)
- Lindsay A Williams
- Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Brain Tumor Program, University of Minnesota, Minneapolis, MN, USA
| | - David Haynes
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
| | - Jeannette M Sample
- Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Zhanni Lu
- Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Ali Hossaini
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA
| | - Laura A McGuinn
- Department of Family Medicine, University of Chicago, Chicago, IL, USA
| | - Thanh T Hoang
- Department of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Cancer and Hematology Center, Texas Children's Hospital, Houston, TX, USA
| | - Philip J Lupo
- Department of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Cancer and Hematology Center, Texas Children's Hospital, Houston, TX, USA
| | - Michael E Scheurer
- Department of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Cancer and Hematology Center, Texas Children's Hospital, Houston, TX, USA
| |
Collapse
|
2
|
Kwon E, Jin T, You YA, Kim B. Joint effect of long-term exposure to ambient air pollution on the prevalence of chronic obstructive pulmonary disease using the Korea National Health and Nutrition Examination Survey 2010-2019. CHEMOSPHERE 2024; 358:142137. [PMID: 38670507 DOI: 10.1016/j.chemosphere.2024.142137] [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: 01/07/2024] [Revised: 04/03/2024] [Accepted: 04/23/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND Little is known about the relationship between long-term joint exposure to mixtures of air pollutants and the prevalence of chronic obstructive pulmonary disease (COPD). We aimed to assess the joint impact of long-term exposure to ambient air pollution on the prevalence of COPD in Korea, especially in areas with high levels of air pollution. METHODS We included 22,387 participants who underwent spirometry tests in 2010-2019. The community multiscale air quality model was used to estimate the levels of ambient air pollution at residential addresses. The average exposure over the 5 years before the examination date was used to calculate the concentrations of air pollution. Forced expiratory volume in 1 s and forced vital capacity were used to define restrictive lung disease, COPD, and moderate-to-severe COPD. Quantile-based g-computation models were used to assess the joint impact of air pollution on COPD prevalence. RESULTS A total of 2535 cases of restrictive lung disease, 2787 cases of COPD, and 1399 cases of moderate-to-severe COPD were identified. In the individual pollutant model, long-term exposure was significantly associated with both restrictive lung disease and COPD. In the mixture pollutant model, the odds ratios (ORs, 95% confidence intervals) for restrictive lung disease increased with each quartile increment in the 1- to 5-year average mixtures: 1.14 (1.02-1.28, 1 year), 1.25 (1.11-1.41, 2 years), 1.26 (1.11-1.42, 3 years), 1.32 (1.16-1.51, 4 years), and 1.37 (1.19-1.58, 5 years), respectively. The increase in ORs of restrictive lung disease accelerated over time. By contrast, the ORs of COPD showed a decreasing trend over time. CONCLUSIONS Long-term exposure to air pollutants, both individually and jointly, was associated with an increased risk of developing COPD, particularly restrictive lung disease. Our findings highlight the importance of comprehensively assessing exposure to various air pollutants in relation to COPD.
Collapse
Affiliation(s)
- Eunjin Kwon
- Division of Allergy and Respiratory Disease Research, Department of Chronic Disease Convergence Research, National Institute of Health, Cheongju, South Korea
| | - Taiyue Jin
- Division of Cancer Prevention, National Cancer Control Institute, National Cancer Center, Goyang, South Korea
| | - Young-Ah You
- Department of Obstetrics and Gynecology, Ewha Medical Research Institute, Ewha Womans University Medical School, 07985 Seoul, South Korea
| | - Byungmi Kim
- Division of Cancer Prevention, National Cancer Control Institute, National Cancer Center, Goyang, South Korea; Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, South Korea.
| |
Collapse
|
3
|
Li Z, Wang Y, Wu W, Zhao Y, Wang S, Wang P, Lin X, Gong Y, Wu Z, Li X, Sun J, Zhao N, Huang Y, Hu S, Zhang W. The relative contribution of PM 2.5 components to the obstructive ventilatory dysfunction-insights from a large ventilatory function examination of 305,022 workers in southern China. ENVIRONMENT INTERNATIONAL 2024; 187:108721. [PMID: 38718675 DOI: 10.1016/j.envint.2024.108721] [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: 12/14/2023] [Revised: 03/28/2024] [Accepted: 05/03/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND The new round of WHO/ILO Joint Estimates of the Work-related Burden of Disease assessment requires futher research to provide more evidence, especially on the health impact of ambient air pollution around the workplace. However, the evidence linking obstructive ventilatory dysfunction (OVD) to fine particulate matter (PM2.5) and its chemical components in workers is very limited. Evidence is even more scarce on the interactive effects between occupational factors and particle exposures. We aimed to fill these gaps based on a large ventilatory function examination of workers in southern China. METHODS We conducted a cross-sectional study among 363,788 workers in southern China in 2020. The annual average concentration of PM2.5 and its components were evaluated around the workplace through validated spatiotemporal models. We used mixed-effect models to evaluate the risk of OVD related to PM2.5 and its components. Results were further stratified by basic characteristics and occupational factors. FINDINGS Among the 305,022 workers, 119,936 were observed with OVD. We found for each interquartile range (IQR) increase in PM2.5 concentration, the risk of OVD increased by 27.8 (95 % confidence interval (CI): 26.5-29.2 %). The estimates were 10.9 % (95 %CI: 9.7-12.1 %), 15.8 % (95 %CI: 14.5-17.2 %), 2.6 % (95 %CI: 1.4-3.8 %), 17.1 % (95 %CI: 15.9-18.4 %), and 11 % (95 %CI: 9.9-12.2 %), respectively, for each IQR increment in sulfate, nitrate, ammonium salt, organic matter and black carbon. We observed greater effect estimates among females, younger workers, workers with a length of service of 24-45 months, and professional skill workers. Furthermore, it is particularly noteworthy that the noise-exposed workers, high-temperature-exposed workers, and less-dust-exposed workers were at a 5.7-68.2 % greater risk than others. INTERPRETATION PM2.5 and its components were significantly associated with an increased risk of OVD, with stronger links among certain vulnerable subgroups.
Collapse
Affiliation(s)
- Zhiqiang Li
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Ying Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Wenjing Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yanjie Zhao
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Shenghao Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Pengyu Wang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Xian Lin
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Yajun Gong
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China
| | - Zhijia Wu
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China
| | - Xinyue Li
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Jie Sun
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China
| | - Na Zhao
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China
| | - Yongshun Huang
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China.
| | - Shijie Hu
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China.
| | - Wangjian Zhang
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
| |
Collapse
|
4
|
Qi J, Zhao N, Liu M, Guo Y, Fu J, Zhang Y, Wang W, Su Z, Zeng Y, Yao Y, Hu K. Long-term exposure to fine particulate matter constituents and cognitive impairment among older adults: An 18-year Chinese nationwide cohort study. JOURNAL OF HAZARDOUS MATERIALS 2024; 468:133785. [PMID: 38367441 DOI: 10.1016/j.jhazmat.2024.133785] [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: 12/06/2023] [Revised: 01/27/2024] [Accepted: 02/12/2024] [Indexed: 02/19/2024]
Abstract
BACKGROUND Although growing evidence has shown independent links of long-term exposure to fine particulate matter (PM2.5) with cognitive impairment, the effects of its constituents remain unclear. This study aims to explore the associations of long-term exposure to ambient PM2.5 constituents' mixture with cognitive impairment in Chinese older adults, and to further identify the main contributor. METHODS 15,274 adults ≥ 65 years old were recruited by the Chinese Longitudinal Healthy Longevity Study (CLHLS) and followed up through 7 waves during 2000-2018. Concentrations of ambient PM2.5 and its constituents (i.e., black carbon [BC], organic matter [OM], ammonium [NH4+], sulfate [SO42-], and nitrate [NO3-]) were estimated by satellite retrievals and machine learning models. Quantile-based g-computation model was employed to assess the joint effects of a mixture of 5 PM2.5 constituents and their relative contributions to cognitive impairment. Analyses stratified by age group, sex, residence (urban vs. rural), and region (north vs. south) were performed to identify vulnerable populations. RESULTS During the average 3.03 follow-up visits (89,296.9 person-years), 4294 (28.1%) participants had developed cognitive impairment. The adjusted hazard ratio [HR] (95% confidence interval [CI]) for cognitive impairment for every quartile increase in mixture exposure to 5 PM2.5 constituents was 1.08 (1.05-1.11). BC held the largest index weight (0.69) in the positive direction in the qg-computation model, followed by OM (0.31). Subgroup analyses suggested stronger associations in younger old adults and rural residents. CONCLUSION Long-term exposure to ambient PM2.5, particularly its constituents BC and OM, is associated with an elevated risk of cognitive impairment onset among Chinese older adults.
Collapse
Affiliation(s)
- Jin Qi
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Naizhuo Zhao
- Department of Land Resource Management, School of Humanities and Law, Northeastern University, Shenyang 110004, China
| | - Minhui Liu
- School of Management, University of Science and Technology of China, Hefei 230026, China
| | - Yiwen Guo
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Jingqiao Fu
- Ocean College, Zhejiang University, Zhoushan 316021, China
| | - Yunquan Zhang
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Wanjie Wang
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Zhiyang Su
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development, Peking University, Beijing 100871, China.
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing 100191, China.
| | - Kejia Hu
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou 310058, China; Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, China.
| |
Collapse
|
5
|
Dai Y, Yin J, Li S, Li J, Han X, Deji Q, Pengcuo C, Liu L, Yu Z, Chen L, Xie L, Guo B, Zhao X. Long-term exposure to fine particulate matter constituents in relation to chronic kidney disease: evidence from a large population-based study in China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:174. [PMID: 38592609 DOI: 10.1007/s10653-024-01949-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: 07/03/2023] [Accepted: 03/07/2024] [Indexed: 04/10/2024]
Abstract
The effects of long-term exposure to fine particulate matter (PM2.5) constituents on chronic kidney disease (CKD) are not fully known. This study sought to examine the association between long-term exposure to major PM2.5 constituents and CKD and look for potential constituents contributing substantially to CKD. This study included 81,137 adults from the 2018 to 2019 baseline survey of China Multi-Ethnic Cohort. CKD was defined by the estimated glomerular filtration rate. Exposure concentration data of 7 major PM2.5 constituents were assessed by satellite remote sensing. Logistic regression models were used to estimate the effect of each PM2.5 constituent exposure on CKD. The weighted quantile sum regression was used to estimate the effect of mixed exposure to all constituents. PM2.5 constituents had positive correlations with CKD (per standard deviation increase), with ORs (95% CIs) of 1.20 (1.02-1.41) for black carbon, 1.27 (1.07-1.51) for ammonium, 1.29 (1.08-1.55) for nitrate, 1.20 (1.01-1.43) for organic matter, 1.25 (1.06-1.46) for sulfate, 1.30 (1.11-1.54) for soil particles, and 1.63 (1.39-1.91) for sea salt. Mixed exposure to all constituents was positively associated with CKD (1.68, 1.32-2.11). Sea salt was the constituent with the largest weight (0.36), which suggested its importance in the PM2.5-CKD association, followed by nitrate (0.32), organic matter (0.18), soil particles (0.10), ammonium (0.03), BC (0.01). Sulfate had the least weight (< 0.01). Long-term exposure to PM2.5 sea salt and nitrate may contribute more than other constituents in increasing CKD risk, providing new evidence and insights for PM2.5-CKD mechanism research and air pollution control strategy.
Collapse
Affiliation(s)
- Yucen Dai
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Jianzhong Yin
- School of Public Health, Kunming Medical University, Kunming, China
- Baoshan College of Traditional Chinese Medicine, Baoshan, China
| | - Sicheng Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Jiawei Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | - Xinyu Han
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| | | | - Ciren Pengcuo
- Tibet Center for Disease Control and Prevention CN, Lhasa, China
| | - Leilei Liu
- School of Public Health the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Zhimiao Yu
- Chengdu Center for Disease Control and Prevention, Chengdu, China
| | - Liling Chen
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Linshen Xie
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China.
| | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China.
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No.17, Section 3, South Renmin Road, Chengdu, 610041, Sichuan Province, China
| |
Collapse
|
6
|
Jankowska-Kieltyka M, Roman A, Nalepa I. Dataset on exposure conditions to Fe 2O 3 and SiO 2 colloidal suspension and airborne particulate matter (PM) suspensions: crude NIST1648a and with reduced content of organic matter, LAp120. Data Brief 2024; 53:110242. [PMID: 38533120 PMCID: PMC10964041 DOI: 10.1016/j.dib.2024.110242] [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: 10/25/2023] [Revised: 02/13/2024] [Accepted: 02/19/2024] [Indexed: 03/28/2024] Open
Abstract
Particulate matter (PM) present in the air pollution increases morbidity and mortality due to several reasons. The dataset presents a comparative analysis of nebulization process of Fe2O3 and SiO2 nanoparticles or crude PM (NIST1648a) and that with reduced content of organic matter (LAp120). Nebulization tests were carried out to determine concentrations of nanoparticle and PM suspensions, in order to create an atmosphere with a concentration of PM particles about 1000 µg/m3 of air in the exposure chambers. It is important to properly recreate environmental conditions during further research on animals. The absorbance spectrum of the suspensions of the tested materials was measured in the range of 300-700 nm. The changes in the absorbance of these suspensions depending on the concentration after their passage through the nebulizers were examined. Based on the absorbance, it was determined to what extent the suspensions are passed out and dispersed by the nebulizers. The operating mode of the nebulizers and the concentration of suspensions were determined in order to establish the optimal exposure conditions and the microclimate of the chambers for further studies with mice. The dataset can help in optimization of nebulization process for all researchers exploring the further issue of the influence of the air pollution on the broadly understood animal functions, behavioral parameters and biochemical aspects.
Collapse
Affiliation(s)
| | | | - Irena Nalepa
- Maj Institute of Pharmacology, Polish Academy of Sciences, Department of Brain Biochemistry, Smętna 12, 31-343 Kraków, Poland
| |
Collapse
|
7
|
Kim BE, Hui-Beckman JW, Nevid MZ, Goleva E, Leung DYM. Air pollutants contribute to epithelial barrier dysfunction and allergic diseases. Ann Allergy Asthma Immunol 2024; 132:433-439. [PMID: 38006973 DOI: 10.1016/j.anai.2023.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/15/2023] [Accepted: 11/15/2023] [Indexed: 11/27/2023]
Abstract
Air pollution is a global problem associated with various health conditions, causing elevated rates of morbidity and mortality. Major sources of air pollutants include industrial emissions, traffic-related pollutants, and household biomass combustion, in addition to indoor pollutants from chemicals and tobacco. Various types of air pollutants originate from both human activities and natural sources. These include particulate matter, pollen, greenhouse gases, and other harmful gases. Air pollution is linked to allergic diseases, including atopic dermatitis, allergic rhinitis, allergic conjunctivitis, food allergy, and bronchial asthma. These pollutants lead to epithelial barrier dysfunction, dysbiosis, and immune dysregulation. In addition, climate change and global warming may contribute to the exacerbation and the development of allergic diseases related to air pollutants. Epigenetic changes associated with air pollutants have also been connected to the onset of allergic diseases. Furthermore, these changes can be passed down through subsequent generations, causing a higher prevalence of allergic diseases in offspring. Modulation of the aryl hydrocarbon receptor could be a valuable strategy for alleviating air pollutant-induced epidermal barrier dysfunction and atopic dermatitis. A more effective approach to preventing allergic diseases triggered by air pollutants is to reduce exposure to them. Implementing public policies aimed at safeguarding individuals from air pollutant exposure may prove to be the most efficient solution. A pressing need exists for global policy initiatives that prioritize efforts to reduce the production of air pollutants.
Collapse
Affiliation(s)
- Byung Eui Kim
- Department of Pediatrics, National Jewish Health, Denver, Colorado
| | | | | | - Elena Goleva
- Department of Pediatrics, National Jewish Health, Denver, Colorado
| | - Donald Y M Leung
- Department of Pediatrics, National Jewish Health, Denver, Colorado.
| |
Collapse
|
8
|
Zhang Y, Pei Y, Sun Y, Yang X, Liang J, Yin Z, Liu QS, Zhou Q, Jiang G. AhR Agonistic Components in Urban Particulate Matter Regulate Astrocytic Activation and Function. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:4571-4580. [PMID: 38430186 DOI: 10.1021/acs.est.4c00237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/03/2024]
Abstract
Exposure to atmospheric particulate matter (PM) has been found to accelerate the onset of neurological disorders via the induction of detrimental neuroinflammatory responses. To reveal how astrocytes respond to urban atmospheric PM stimulation, a commercially available standard reference material (SRM1648a) was tested in this study on the activation of rat cortical astrocytes. The results showed that SRM1648a stimulation induced both A1 and A2 phenotypes in astrocytes, as characterized by the exposure concentration-dependent increases in Fkbp5, Sphk1, S100a10, and Il6 mRNA levels. Studying the functional alterations of astrocytes indicated that the neurotrophic factors of Gdnf and Ngf were transcriptionally upregulated due to astrocytic A2-type activation. SRM1648a also promoted autonomous motility of astrocytes and elevated the expressions of chemokines. The aryl hydrocarbon receptor (AhR) agonistic components, such as polycyclic aromatic hydrocarbons (PAHs), were recognized to greatly contribute to SRM1648a-induced effects on astrocytes, which was confirmed by the attenuation of PM-disturbed astrocytic effects via AhR blockage. This study, for the first time, uncovered the direct regulation of urban atmospheric PM on astrocytic activation and function and traced the containing bioactive components (e.g., PAHs) with AhR agonistic activity. The findings provided new knowledge on understanding the ambiguous neurological disturbance from ambient fine PM pollution.
Collapse
Affiliation(s)
- Yuzhu Zhang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yao Pei
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yumiao Sun
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Xiaoxi Yang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Jiefeng Liang
- Shandong Key Laboratory of Environmental Processes and Health, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Zhipeng Yin
- Shandong Key Laboratory of Environmental Processes and Health, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
| | - Qian S Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Qunfang Zhou
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| |
Collapse
|
9
|
Roy A, Mandal M, Das S, Popek R, Rakwal R, Agrawal GK, Awasthi A, Sarkar A. The cellular consequences of particulate matter pollutants in plants: Safeguarding the harmonious integration of structure and function. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 914:169763. [PMID: 38181950 DOI: 10.1016/j.scitotenv.2023.169763] [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: 09/05/2023] [Revised: 12/19/2023] [Accepted: 12/28/2023] [Indexed: 01/07/2024]
Abstract
Particulate matter (PM) pollution is one of the pressing environmental concerns confronting human civilization in the face of the Anthropocene era. Plants are continuously exposed to an accelerating PM, threatening their growth and productivity. Although plants and plant-based infrastructures can potentially reduce ambient air pollutants, PM still affects them morphologically, anatomically, and physiologically. This review comprehensively summarizes an up-to-date review of plant-PM interaction among different functional plant groups, PM deposition and penetration through aboveground and belowground plant parts, and plants' cellular strategies. Upon exposure, PM represses lipid desaturases, eventually leading to modification of cell wall and membrane and altering cell fluidity; consequently, plants can sense the pollutants and, thus, adapt different cellular strategies. The PM also causes a reduction in the photosynthetically active radiation. The study demonstrated that plants reduce stomatal density to avoid PM uptake and increase stomatal index to compensate for decreased gaseous exchange efficiency and transpiration rates. Furthermore, genes and gene sets associated with photosynthesis, glycolysis, gluconeogenesis, and the TCA cycle were dramatically lowered by PM stress. Several transcription factors, including MYB, C2H2, C3H, G2-like, and WRKY were induced, and metabolites such as proline and soluble sugar were accumulated to increase resistance against stressors. In addition, enzymatic and non-enzymatic antioxidants were also accumulated to scavenge the PM-induced reactive oxygen species (ROS). Taken together, this review provides an insight into plants' underlying cellular mechanisms and gene regulatory networks in response to the PM to determine strategies to preserve their structural and functional blend in the face of particulate pollution. The study concludes by recommending that future research should precisely focus on plants' response to short- and long-term PM exposure.
Collapse
Affiliation(s)
- Anamika Roy
- Laboratory of Applied Stress Biology, Department of Botany, University of Gour Banga, Malda 732 103, West Bengal, India
| | - Mamun Mandal
- Laboratory of Applied Stress Biology, Department of Botany, University of Gour Banga, Malda 732 103, West Bengal, India
| | - Sujit Das
- Laboratory of Applied Stress Biology, Department of Botany, University of Gour Banga, Malda 732 103, West Bengal, India
| | - Robert Popek
- Section of Basic Research in Horticulture, Department of Plant Protection, Institute of Horticultural Sciences, Warsaw University of Life Sciences - SGGW (WULS-SGGW), Nowoursynowska 159, Warsaw, Poland
| | - Randeep Rakwal
- Institute of Health and Sport Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8574, Japan; GRADE Academy (Pvt.) Ltd., Birgunj, Nepal
| | | | - Amit Awasthi
- Department of Applied Sciences, University of Petroleum and Energy Studies, Dehradun, India
| | - Abhijit Sarkar
- Laboratory of Applied Stress Biology, Department of Botany, University of Gour Banga, Malda 732 103, West Bengal, India.
| |
Collapse
|
10
|
Chen WJ, Rector-Houze AM, Guxens M, Iñiguez C, Swartz MD, Symanski E, Ibarluzea J, Valentin A, Lertxundi A, González-Safont L, Sunyer J, Whitworth KW. Susceptible windows of prenatal and postnatal fine particulate matter exposures and attention-deficit hyperactivity disorder symptoms in early childhood. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168806. [PMID: 38016567 DOI: 10.1016/j.scitotenv.2023.168806] [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: 10/11/2023] [Revised: 11/20/2023] [Accepted: 11/21/2023] [Indexed: 11/30/2023]
Abstract
Few prior studies have explored windows of susceptibility to fine particulate matter (PM2.5) in both the prenatal and postnatal periods and children's attention-deficit/hyperactivity disorder (ADHD) symptoms. We analyzed data from 1416 mother-child pairs from the Spanish INMA (INfancia y Medio Ambiente) Study (2003-2008). Around 5 years of age, teachers reported the number of ADHD symptoms (i.e., inattention, hyperactivity/impulsivity) using the ADHD Diagnostic and Statistical Manual of Mental Disorders. Around 7 years of age, parents completed the Conners' Parent Rating Scales, from which we evaluated the ADHD index, cognitive problems/inattention, hyperactivity, and oppositional subscales, reported as age- and sex-standardized T-scores. Daily residential PM2.5 exposures were estimated using a two-stage random forest model with temporal back-extrapolation and averaged over 1-week periods in the prenatal period and 4-week periods in the postnatal period. We applied distributed lag non-linear models within the Bayesian hierarchical model framework to identify susceptible windows of prenatal or postnatal exposure to PM2.5 (per 5-μg/m3) for ADHD symptoms. Models were adjusted for relevant covariates, and cumulative effects were reported by aggregating risk ratios (RRcum) or effect estimates (βcum) across adjacent susceptible windows. A similar susceptible period of exposure to PM2.5 (1.2-2.9 and 0.9-2.7 years of age, respectively) was identified for hyperactivity/impulsivity symptoms assessed ~5 years (RRcum = 2.72, 95% credible interval [CrI] = 1.98, 3.74) and increased hyperactivity subscale ~7 years (βcum = 3.70, 95% CrI = 2.36, 5.03). We observed a susceptibility period to PM2.5 on risk of hyperactivity/impulsivity symptoms ~5 years in gestational weeks 16-22 (RRcum = 1.36, 95% CrI = 1.22, 1.52). No associations between PM2.5 exposure and other ADHD symptoms were observed. We report consistent evidence of toddlerhood as a susceptible window of PM2.5 exposure for hyperactivity in young children. Although mid-pregnancy was identified as a susceptible period of exposure on hyperactivity symptoms in preschool-aged children, this association was not observed at the time children were school-aged.
Collapse
Affiliation(s)
- Wei-Jen Chen
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Alison M Rector-Houze
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA
| | - Mònica Guxens
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; ISGlobal, Barcelona, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre (Erasmus MC), Rotterdam, the Netherlands
| | - Carmen Iñiguez
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Statistics and Operational Research, Universitat de València, València, Spain; Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Universitat Jaume I-Universitat de València, València, Spain
| | - Michael D Swartz
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA
| | - Elaine Symanski
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA; Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
| | - Jesús Ibarluzea
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastian, Spain; Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastian, Spain; Faculty of Psychology, Universidad del País Vasco (UPV/EHU), San Sebastian, Spain
| | - Antonia Valentin
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; ISGlobal, Barcelona, Spain
| | - Aitana Lertxundi
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastian, Spain; Department of Preventive Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Llúcia González-Safont
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Universitat Jaume I-Universitat de València, València, Spain; Nursing and Chiropody Faculty of Valencia University, Valencia, Spain
| | - Jordi Sunyer
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; ISGlobal, Barcelona, Spain
| | - Kristina W Whitworth
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA; Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA.
| |
Collapse
|
11
|
Zhang Y, Li W, Li L, Li M, Zhou Z, Yu J, Zhou Y. Source apportionment of PM 2.5 using PMF combined online bulk and single-particle measurements: Contribution of fireworks and biomass burning. J Environ Sci (China) 2024; 136:325-336. [PMID: 37923442 DOI: 10.1016/j.jes.2022.12.019] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/21/2022] [Accepted: 12/12/2022] [Indexed: 11/07/2023]
Abstract
Fireworks (FW) could significantly worsen air quality in short term during celebrations. Due to similar tracers with biomass burning (BB), the fast and precise qualification of FW and BB is still challenging. In this study, online bulk and single-particle measurements were combined to investigate the contributions of FW and BB to the overall mass concentrations of PM2.5 and specific chemical species by positive matrix factorization (PMF) during the Chinese New Year in Hong Kong in February 2013. With combined information, fresh/aged FW (abundant 140K2NO3+ and 213K3SO4+ formed from 113K2Cl+ discharged by fresh FW) can be extracted from the fresh/aged BB sources, in addition to the Second Aerosol, Vehicles + Road Dust, and Sea Salt factors. The contributions of FW and BB were investigated during three high particle matter episodes influenced by the pollution transported from the Pearl River Delta region. The fresh BB/FW contributed 39.2% and 19.6% to PM2.5 during the Lunar Chinese New Year case. However, the contributions of aged FW/BB enhanced in the last two episodes due to the aging process, evidenced by high contributions from secondary aerosols. Generally, the fresh BB/FW showed more significant contributions to nitrate (35.1% and 15.0%, respectively) compared with sulfate (25.1% and 5.9%, respectively) and OC (14.8% and 11.1%, respectively) on average. In comparison, the aged FW contributed more to sulfate (13.4%). Overall, combining online bulk and single-particle measurement data can combine both instruments' advantages and provide a new perspective for applying source apportionment of aerosols using PMF.
Collapse
Affiliation(s)
- Yanjing Zhang
- Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong 266100, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong 266100, China
| | - Wenshuai Li
- Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong 266100, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong 266100, China
| | - Lei Li
- Institute of Atmospheric Environment Safety and Pollution Control, Jinan University, Guangdong 510632, China
| | - Mei Li
- Institute of Atmospheric Environment Safety and Pollution Control, Jinan University, Guangdong 510632, China
| | - Zhen Zhou
- Institute of Atmospheric Environment Safety and Pollution Control, Jinan University, Guangdong 510632, China
| | - Jianzhen Yu
- Institute of Environment, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China; Department of Chemistry, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China; Division of Environment, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China
| | - Yang Zhou
- Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory, Ocean University of China, Qingdao, Shandong 266100, China; College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, Shandong 266100, China.
| |
Collapse
|
12
|
Banoo R, Gupta S, Gadi R, Dawar A, Vijayan N, Mandal TK, Sharma SK. Chemical characteristics, morphology and source apportionment of PM 10 over National Capital Region (NCR) of India. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:163. [PMID: 38231424 DOI: 10.1007/s10661-023-12281-8] [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: 09/29/2023] [Accepted: 12/29/2023] [Indexed: 01/18/2024]
Abstract
The present study frames the physico-chemical characteristics and the source apportionment of PM10 over National Capital Region (NCR) of India using the receptor model's Positive Matrix Factorization (PMF) and Principal Momponent Mnalysis/Absolute Principal Component Score-Multilinear Regression (PCA/APCS-MLR). The annual average mass concentration of PM10 over the urban site of Faridabad, IGDTUW-Delhi and CSIR-NPL of NCR-Delhi were observed to be 195 ± 121, 275 ± 141 and 209 ± 81 µg m-3, respectively. Carbonaceous species (organic carbon (OC), elemental carbon (EC) and water-soluble organic carbon (WSOC)), elemental constituents (Al, Ti, Na, Mg, Cr, Mn, Fe, Cu, Zn, Br, Ba, Mo Pb) and water-soluble ionic components (F-, Cl-, SO42-, NO3-, NH4+, Na+, K+, Mg2+, Ca2+) of PM10 were entrenched to the receptor models to comprehend the possible sources of PM10. The PMF assorted sources over Faridabad were soil dust (SD 15%), industrial emission (IE 14%), vehicular emission (VE 19%), secondary aerosol (SA 23%) and sodium magnesium salt (SMS 17%). For IGDTUW-Delhi, the sources were SD (16%), VE (19%), SMS (18%), IE (11%), SA (27%) and VE + IE (9%). Emission sources like SD (24%), IE (8%), SMS (20%), VE + IE (12%), VE (15%) and SA + BB (21%) were extracted over CSIR-NPL, New Delhi, which are quite obvious towards the sites. PCA/APCS-MLR quantified the similar sources with varied percentage contribution. Additionally, catalogue the Conditional Bivariate Probability Function (CBPF) for directionality of the local source regions and morphology as spherical, flocculent and irregular were imaged using a Field Emission-Scanning Electron Microscope (FE-SEM).
Collapse
Affiliation(s)
- Rubiya Banoo
- CSIR-National Physical Laboratory, D, K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Sarika Gupta
- Indira Gandhi Delhi Technical University for Women, Kashmiri Gate, New Delhi, 110006, India
| | - Ranu Gadi
- Indira Gandhi Delhi Technical University for Women, Kashmiri Gate, New Delhi, 110006, India
| | - Anit Dawar
- Inter-University Accelerator Centre, Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Narayanasamy Vijayan
- CSIR-National Physical Laboratory, D, K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Tuhin Kumar Mandal
- CSIR-National Physical Laboratory, D, K S Krishnan Road, New Delhi, 110012, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Sudhir Kumar Sharma
- CSIR-National Physical Laboratory, D, K S Krishnan Road, New Delhi, 110012, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
| |
Collapse
|
13
|
Jung I, Cho YJ, Park M, Park K, Lee SH, Kim WH, Jeong H, Lee JE, Kim GY. Proteomic analysis reveals activation of platelet- and fibrosis-related pathways in hearts of ApoE -/- mice exposed to diesel exhaust particles. Sci Rep 2023; 13:22636. [PMID: 38114606 PMCID: PMC10730529 DOI: 10.1038/s41598-023-49790-y] [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: 08/31/2023] [Accepted: 12/12/2023] [Indexed: 12/21/2023] Open
Abstract
Air pollution is an environmental risk factor linked to multiple human diseases including cardiovascular diseases (CVDs). While particulate matter (PM) emitted by diesel exhaust damages multiple organ systems, heart disease is one of the most severe pathologies affected by PM. However, the in vivo effects of diesel exhaust particles (DEP) on the heart and the molecular mechanisms of DEP-induced heart dysfunction have not been investigated. In the current study, we attempted to identify the proteomic signatures of heart fibrosis caused by diesel exhaust particles (DEP) in CVDs-prone apolipoprotein E knockout (ApoE-/-) mice model using tandem mass tag (TMT)-based quantitative proteomic analysis. DEP exposure induced mild heart fibrosis in ApoE-/- mice compared with severe heart fibrosis in ApoE-/- mice that were treated with CVDs-inducing peptide, angiotensin II. TMT-based quantitative proteomic analysis of heart tissues between PBS- and DEP-treated ApoE-/- mice revealed significant upregulation of proteins associated with platelet activation and TGFβ-dependent pathways. Our data suggest that DEP exposure could induce heart fibrosis, potentially via platelet-related pathways and TGFβ induction, causing cardiac fibrosis and dysfunction.
Collapse
Affiliation(s)
- Inkyo Jung
- Division of Cardiovascular Disease Research, Department of Chronic Disease Convergence Research, Korea National Institute of Health, 187 Osongsaengmyeng2-ro, Osong-eub, Heungdeok-gu, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea
| | - Yoon Jin Cho
- Chemical and Biological Integrative Research Center, Biomedical Research Division, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea
- Department of Chemistry, Sookmyung Women's University, Cheongpa-ro 47-gil 100, Yongsan-gu, Seoul, 04310, Republic of Korea
| | - Minhan Park
- School of Earth Science and Environmental Engineering, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, Republic of Korea
| | - Kihong Park
- School of Earth Science and Environmental Engineering, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, Republic of Korea
| | - Seung Hee Lee
- Division of Cardiovascular Disease Research, Department of Chronic Disease Convergence Research, Korea National Institute of Health, 187 Osongsaengmyeng2-ro, Osong-eub, Heungdeok-gu, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea
| | - Won-Ho Kim
- Division of Cardiovascular Disease Research, Department of Chronic Disease Convergence Research, Korea National Institute of Health, 187 Osongsaengmyeng2-ro, Osong-eub, Heungdeok-gu, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea
| | - Hyuk Jeong
- Department of Chemistry, Sookmyung Women's University, Cheongpa-ro 47-gil 100, Yongsan-gu, Seoul, 04310, Republic of Korea
| | - Ji Eun Lee
- Chemical and Biological Integrative Research Center, Biomedical Research Division, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea.
| | - Geun-Young Kim
- Division of Cardiovascular Disease Research, Department of Chronic Disease Convergence Research, Korea National Institute of Health, 187 Osongsaengmyeng2-ro, Osong-eub, Heungdeok-gu, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
| |
Collapse
|
14
|
Kobayashi S, Yoda Y, Takagi H, Ito T, Wakamatsu J, Nakatsubo R, Horie Y, Hiraki T, Shima M. Short-term effects of the chemical components of fine particulate matter on pulmonary function: A repeated panel study among adolescents. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 895:165195. [PMID: 37391138 DOI: 10.1016/j.scitotenv.2023.165195] [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: 04/10/2023] [Revised: 06/07/2023] [Accepted: 06/27/2023] [Indexed: 07/02/2023]
Abstract
The effects of the chemical components of fine particulate matter (PM2.5) have been drawing attention. However, information regarding the impact of low PM2.5 concentrations is limited. Hence, we aimed to investigate the short-term effects of the chemical components of PM2.5 on pulmonary function and their seasonal differences in healthy adolescents living on an isolated island without major artificial sources of air pollution. A panel study was repeatedly conducted twice a year for one month every spring and fall from October 2014 to November 2016 on an isolated island in the Seto Inland Sea, which has no major artificial sources of air pollution. Daily measurements of peak expiratory flow (PEF) and forced expiratory volume in 1 s (FEV1) were performed in 47 healthy college students, and the concentrations of 35 chemical components of PM2.5 were analyzed every 24 h. Using a mixed-effects model, the relationship between pulmonary function values and concentrations of PM2.5 components was analyzed. Significant associations were observed between several PM2.5 components and decreased pulmonary function. Among the ionic components, sulfate was strongly related to decreases in PEF and FEV1 (-4.20 L/min [95 % confidence interval (CI): -6.40 to -2.00] and - 0.04 L [95 % CI: -0.05 to -0.02] per interquartile range increase, respectively). Among the elemental components, potassium induced the greatest reduction in PEF and FEV1. Therefore, PEF and FEV1 were significantly reduced as the concentrations of several PM2.5 components increased during fall, with minimal changes observed during spring. Several chemical components of PM2.5 were significantly associated with decreased pulmonary function among healthy adolescents. The concentrations of PM2.5 chemical components differed by season, suggesting the occurrence of distinct effects on the respiratory system depending on the type of component.
Collapse
Affiliation(s)
- Satoru Kobayashi
- Department of Public Health, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo 663-8501, Japan
| | - Yoshiko Yoda
- Department of Public Health, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo 663-8501, Japan.
| | - Hiroshi Takagi
- National Institute of Technology, Yuge College, Kamijima, Ehime 794-2593, Japan
| | - Takeshi Ito
- National Institute of Technology, Yuge College, Kamijima, Ehime 794-2593, Japan
| | - Junko Wakamatsu
- National Institute of Technology, Yuge College, Kamijima, Ehime 794-2593, Japan
| | - Ryohei Nakatsubo
- Hyogo Prefectural Institute of Environmental Sciences, Kobe, Hyogo 654-0037, Japan
| | - Yosuke Horie
- Hyogo Prefectural Institute of Environmental Sciences, Kobe, Hyogo 654-0037, Japan
| | - Takatoshi Hiraki
- Hyogo Prefectural Institute of Environmental Sciences, Kobe, Hyogo 654-0037, Japan
| | - Masayuki Shima
- Department of Public Health, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo 663-8501, Japan
| |
Collapse
|
15
|
Li X, Yu B, Li Y, Meng H, Shen M, Yang Y, Zhou Z, Liu S, Tian Y, Xing X, Yin L. The impact of ambient air pollution on hospital admissions, length of stay and hospital costs for patients with diabetes mellitus and comorbid respiratory diseases in Panzhihua, Southwest China. J Glob Health 2023; 13:04118. [PMID: 37830139 PMCID: PMC10570759 DOI: 10.7189/jogh.13.04118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023] Open
Abstract
Background There is limited evidence on association between air pollutants and hospital admissions, hospital cost and length of stay (LOS) among patients with diabetes mellitus (DM) and comorbid respiratory diseases (RD), especially in low- and middle-income countries (LMICs) with low levels of air pollution. Methods Daily data on RD-DM patients were collected in Panzhihua from 2016 to 2020. A generalised additive model (GAM) was used to explore the effect of air pollutants on daily hospital admissions, LOS and hospital cost. Attributable risk was employed to estimate RD-DM's burden due to exceeding air pollution exposure, using both 0 microgrammes per cubic metre (μg/m3) and WHO's 2021 air quality guidelines as reference. Results For each 10 ug/m3 increase of particles with an aerodynamic diameter <2.5 micron (μm) (PM2.5), particles with an aerodynamic diameter <10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3), the admissions of RD-DM patients increased by 7.25% (95% CI = 4.26 to 10.33), 5.59% (95% CI = 3.79 to 7.42), 10.10% (95% CI = 7.29 to 12.98), 12.33% (95% CI = 8.82 to 15.95) and -2.99% (95% CI = -4.08 to -1.90); per 1 milligramme per cubic metre (mg/m3) increase of carbon monoxide (CO) corresponded to a 25.77% (95% CI = 17.88 to 34.19) increment for admissions of RD-DM patients. For LOS and hospital cost, the six air pollutants showed similar effect. Given 0 μg/m3 as the reference, NO2 showed the maximum attributable fraction of 32.68% (95% CI = 25.12 to 39.42%), corresponding to an avoidable burden of 5661 (95% CI = 3611 to 5860) patients with RD-DM. Conclusions There is an association between PM2.5, PM10, SO2, NO2, and CO with increased hospital admissions, LOS and hospital cost in patients with RD-DM. Disease burden of RD-DM may be improved by formulating policies related to air pollutants exposure reduction, especially in LMICs with low levels of air pollution.
Collapse
Affiliation(s)
- Xianzhi Li
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University - Hong Kong Polytechnic University, Chengdu, Sichuan Province, China
| | - Yajie Li
- Tibet Center for Disease Control and Prevention, Lhasa, Tibet Autonomous Region, China
| | - Haorong Meng
- Yunnan Center for Disease Control and Prevention, Kunming, Yunnan Province, China
| | - Meiying Shen
- Nursing department, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
| | - Yan Yang
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
- Department of Respiratory and Critical Care Medicine, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
| | - Zonglei Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Shunjin Liu
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| | - Yunyun Tian
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| | - Xiangyi Xing
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
- Department of Pharmacy, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
| | - Li Yin
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
- Dali University, Dali, Yunnan Province, China
| |
Collapse
|
16
|
Chen TY, Chen SC, Wang CW, Tu HP, Chen PS, Hu SCS, Li CH, Wu DW, Hung CH, Kuo CH. The impact of the synergistic effect of SO 2 and PM 2.5/PM 10 on obstructive lung disease in subtropical Taiwan. Front Public Health 2023; 11:1229820. [PMID: 37809009 PMCID: PMC10558068 DOI: 10.3389/fpubh.2023.1229820] [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: 05/27/2023] [Accepted: 09/06/2023] [Indexed: 10/10/2023] Open
Abstract
Background Chronic Obstructive lung diseases (COPD) are complex conditions influenced by various environmental, lifestyle, and genetic factors. Ambient air pollution has been identified as a potential risk factor, causing 4.2 million deaths worldwide in 2016, accounting for 25% of all COPD-related deaths and 26% of all respiratory infection-related deaths. This study aims to evaluate the associations among chronic lung diseases, air pollution, and meteorological factors. Methods This cross-sectional study obtained data from the Taiwan Biobank and Taiwan Air Quality Monitoring Database. We defined obstructive lung disease as patients with FEV1/FVC < 70%. Descriptive analysis between spirometry groups was performed using one-way ANOVA and the chi-square or Fisher's exact test. A generalized additive model (GAM) was used to evaluate the relationship between SO2 and PM2.5/PM10 through equations and splines fitting. Results A total of 2,635 participants were enrolled. Regarding environmental factors, higher temperature, higher relative humidity, and lower rainfall were risk factors for obstructive lung disease. SO2 was positively correlated with PM10 and PM2.5, with correlation coefficients of 0.53 (p < 0.0001) and 0.52 (p < 0.0001), respectively. Additionally, SO2 modified the relative risk of obstructive impairment for both PM10 [β coefficient (β) = 0.01, p = 0.0052] and PM2.5 (β = 0.01, p = 0.0155). Further analysis per standard deviation (per SD) increase revealed that SO2 also modified the relationship for both PM10 (β = 0.11, p = 0.0052) and PM2.5 (β = 0.09, p = 0.0155). Our GAM analysis showed a quadratic pattern for SO2 (per SD) and PM10 (per SD) in model 1, and a quadratic pattern for SO2 (per SD) in model 2. Moreover, our findings confirmed synergistic effects among temperature, SO2 and PM2.5/PM10, as demonstrated by the significant associations of bivariate (SO2 vs. PM10, SO2 vs. PM2.5) thin-plate smoothing splines in models 1 and 2 with obstructive impairment (p < 0.0001). Conclusion Our study showed high temperature, humidity, and low rainfall increased the risk of obstructive lung disease. Synergistic effects were observed among temperature, SO2, and PM2.5/PM10. The impact of air pollutants on obstructive lung disease should consider these interactions.
Collapse
Affiliation(s)
- Te-Yu Chen
- School of Post-baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Szu-Chia Chen
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Wen Wang
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of Hepatobiliary, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hung-Pin Tu
- Department of Public Health and Environmental Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Pei-Shih Chen
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan
- Institute of Environmental Engineering, College of Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Stephen Chu-Sung Hu
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Dermatology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Dermatology, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chiu-Hui Li
- Doctoral Degree Program, Department of International Business, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
| | - Da-Wei Wu
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Doctoral Degree Program, Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Hsing Hung
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chao-Hung Kuo
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| |
Collapse
|
17
|
Chiu YHM, Wilson A, Hsu HHL, Jamal H, Mathews N, Kloog I, Schwartz J, Bellinger DC, Xhani N, Wright RO, Coull BA, Wright RJ. Prenatal ambient air pollutant mixture exposure and neurodevelopment in urban children in the Northeastern United States. ENVIRONMENTAL RESEARCH 2023; 233:116394. [PMID: 37315758 PMCID: PMC10528414 DOI: 10.1016/j.envres.2023.116394] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/22/2023] [Accepted: 06/09/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND Studies of prenatal air pollution (AP) exposure on child neurodevelopment have mostly focused on a single pollutant. We leveraged daily exposure data and implemented novel data-driven statistical approaches to assess effects of prenatal exposure to a mixture of seven air pollutants on cognitive functioning in school-age children from an urban pregnancy cohort. METHODS Analyses included 236 children born at ≥37 weeks gestation. Maternal prenatal daily exposure levels for nitrogen dioxide (NO2), ozone (O3), and constituents of fine particles [elemental carbon (EC), organic carbon (OC), nitrate (NO3-), sulfate (SO42-), ammonium (NH4+)] were estimated based on residential addresses using validated satellite-based hybrid models or global 3-D chemical-transport models. Children completed Wide Range Assessment of Memory and Learning (WRAML-2) and Conners' Continuous Performance Test (CPT-II) at 6.5 ± 0.9 years of age. Time-weighted levels for mixture pollutants were estimated using Bayesian Kernel Machine Regression Distributed Lag Models (BKMR-DLMs), with which we also explored the interactions in the exposure-response functions among pollutants. Resulting time-weighted exposure levels were used in Weighted Quantile Sum (WQS) regressions to examine AP mixture effects on outcomes, adjusted for maternal age, education, child sex, and prenatal temperature. RESULTS Mothers were primarily ethnic minorities (81% Hispanic and/or black) reporting ≤12 years of education (68%). Prenatal AP mixture (per unit increase in WQS estimated AP index) was associated with decreased WRAML-2 general memory (GM; β = -0.64, 95%CI = -1.40, 0.00) and memory-related attention/concentration (AC; β = -1.03, 95%CI = -1.78, -0.27) indices, indicating poorer memory functioning, as well as increased CPT-II omission errors (OE; β = 1.55, 95%CI = 0.34, 2.77), indicating increased attention problems. When stratified by sex, association with AC index was significant among girls, while association with OE was significant among boys. Traffic-related pollutants (NO2, OC, EC) and SO42- were major contributors to these associations. There was no significant evidence of interactions among mixture components. CONCLUSIONS Prenatal exposure to an AP mixture was associated with child neurocognitive outcomes in a sex- and domain-specific manner.
Collapse
Affiliation(s)
- Yueh-Hsiu Mathilda Chiu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Hsiao-Hsien Leon Hsu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Harris Jamal
- Augusta University/University of Georgia Medical Partnership, Medical College of Georgia, Athens, GA, USA
| | - Nicole Mathews
- The Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - David C Bellinger
- Departments of Neurology and Psychiatry, Boston Children's Hospital, Boston, MA, USA; Departments of Neurology and Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Naim Xhani
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brent A Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| |
Collapse
|
18
|
Yu X, Mostafijur Rahman M, Carter SA, Lin JC, Zhuang Z, Chow T, Lurmann FW, Kleeman MJ, Martinez MP, van Donkelaar A, Martin RV, Eckel SP, Chen Z, Levitt P, Schwartz J, Hackman D, Chen JC, McConnell R, Xiang AH. Prenatal air pollution, maternal immune activation, and autism spectrum disorder. ENVIRONMENT INTERNATIONAL 2023; 179:108148. [PMID: 37595536 PMCID: PMC10792527 DOI: 10.1016/j.envint.2023.108148] [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: 01/23/2023] [Revised: 08/12/2023] [Accepted: 08/12/2023] [Indexed: 08/20/2023]
Abstract
BACKGROUND Autism Spectrum Disorder (ASD) risk is highly heritable, with potential additional non-genetic factors, such as prenatal exposure to ambient particulate matter with aerodynamic diameter < 2.5 µm (PM2.5) and maternal immune activation (MIA) conditions. Because these exposures may share common biological effect pathways, we hypothesized that synergistic associations of prenatal air pollution and MIA-related conditions would increase ASD risk in children. OBJECTIVES This study examined interactions between MIA-related conditions and prenatal PM2.5 or major PM2.5 components on ASD risk. METHODS In a population-based pregnancy cohort of children born between 2001 and 2014 in Southern California, 318,751 mother-child pairs were followed through electronic medical records (EMR); 4,559 children were diagnosed with ASD before age 5. Four broad categories of MIA-related conditions were classified, including infection, hypertension, maternal asthma, and autoimmune conditions. Average exposures to PM2.5 and four PM2.5 components, black carbon (BC), organic matter (OM), nitrate (NO3-), and sulfate (SO42-), were estimated at maternal residential addresses during pregnancy. We estimated the ASD risk associated with MIA-related conditions, air pollution, and their interactions, using Cox regression models to adjust for covariates. RESULTS ASD risk was associated with MIA-related conditions [infection (hazard ratio 1.11; 95% confidence interval 1.05-1.18), hypertension (1.30; 1.19-1.42), maternal asthma (1.22; 1.08-1.38), autoimmune disease (1.19; 1.09-1.30)], with higher pregnancy PM2.5 [1.07; 1.03-1.12 per interquartile (3.73 μg/m3) increase] and with all four PM2.5 components. However, there were no interactions of each category of MIA-related conditions with PM2.5 or its components on either multiplicative or additive scales. CONCLUSIONS MIA-related conditions and pregnancy PM2.5 were independently associations with ASD risk. There were no statistically significant interactions of MIA conditions and prenatal PM2.5 exposure with ASD risk.
Collapse
Affiliation(s)
- Xin Yu
- Spatial Science Institute, University of Southern California, Los Angeles, CA, USA
| | - Md Mostafijur Rahman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Environmental Health Sciences, Tulane University School of Public Health and Tropical Medicine, USA
| | - Sarah A Carter
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Jane C Lin
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Zimin Zhuang
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Ting Chow
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | | | - Michael J Kleeman
- Department of Civil and Environmental Engineering, University of California, Davis, Davis, CA,USA
| | - Mayra P Martinez
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Aaron van Donkelaar
- Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, St. Louis, MO 63130, USA
| | - Randall V Martin
- Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, St. Louis, MO 63130, USA
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Pat Levitt
- Department of Pediatrics and Program in Developmental Neuroscience and Neurogenetics, Keck School of Medicine, The Saban Research Institute, Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Daniel Hackman
- USC Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA
| | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Anny H Xiang
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
| |
Collapse
|
19
|
Ma S, Liu W, Meng C, Dong J, Zhang S. Temperature-dependent particle mass emission rate during heating of edible oils and their regression models. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 323:121221. [PMID: 36775132 DOI: 10.1016/j.envpol.2023.121221] [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: 12/07/2022] [Revised: 01/19/2023] [Accepted: 02/04/2023] [Indexed: 06/18/2023]
Abstract
Particulate matter emitted by heated cooking oil is hazardous to human health. To develop effective mitigation strategies, it is critical to know the amount of the emitted particles. The purpose of this research is to estimate the temperature-dependent particle mass emission rates of edible oils and to develop models for source strength based on the multiple linear regression method. First, this study examined seven commonly used oils by heating experiments. The emission rates of PM2.5 and PM10 were measured, and the effects of parameters such as oil volume and surface area on the emission rates were also analysed. Following that, the starting smoke points (Ts') and aggravating smoke points (Tss') of tested oils were determined. The results showed that oils with lower smoke points had greater emission rates. Notably, the experiments performed observed that peanut, rice, rapeseed and olive oil generated PM2.5 much faster at 240 °C (2.22, 1.50, 0.82 and 0.80 mg/s, respectively, at the highest emission conditions) than that of sunflower, soybean, and corn oil (0.15, 0.12 and 0.11 mg/s, respectively). The temperature, volume, and surface area of oils all had a significant impact on the particle mass emission rate, with oil temperature being the most influential. The regression models obtained were statistically significant (P < 0.001), with the majority of R2 values greater than 0.85. Using sunflower, soybean and corn oils, which have higher smoke points and lower emission rates, and smaller pans for cooking is therefore recommended based on our research findings.
Collapse
Affiliation(s)
- Shengyuan Ma
- School of Architecture, Harbin Institute of Technology, Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin, 150090, China
| | - Wei Liu
- Division of Sustainable Buildings, Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Brinellvägen 23, Stockholm, 100 44, Sweden
| | - Chong Meng
- Institute of Science and Technology Research and Development, China Academy of Building Research, No.30 Beisanhuandonglu, Beijing, 100013, China
| | - Jiankai Dong
- School of Architecture, Harbin Institute of Technology, Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin, 150090, China.
| | - Shi Zhang
- School of Architecture, Harbin Institute of Technology, Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin, 150090, China
| |
Collapse
|
20
|
Skaldina O, Łukowski A, Leskinen JTT, Koistinen AP, Eeva T. Mobile samplers of particulate matter - Flying omnivorous insects in detection of industrial contamination. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 867:161511. [PMID: 36632898 DOI: 10.1016/j.scitotenv.2023.161511] [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: 10/07/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 06/17/2023]
Abstract
Flying insects are potential mobile samplers of airborne particulate matter (PM). However, current knowledge on their susceptibility to PM is limited to pollinators. Insects' capacity for particle surface accumulation depends on the lifestyle, structure of the body integuments, and behavioral patterns. Here, we investigate how two species of flying omnivorous insects from the genus Vespula, possessing direct interactions with air, soil, plants, and herbivores, indicate industrial pollution by accumulating coarse (PM10) and fine (PM2.5) particles on their bodies. The internal accumulation of particles in wasps' gut tissues is assessed considering heavy metals exposure to reveal and discuss the potential magnitude of ecotoxicological risks. Female individuals of Vespula vulgaris and V. germanica were sampled with a hand-netting near to Harjavalta Cu-Ni smelter and in the control areas in southwestern Finland. They were analyzed with light microscopy (LM), electron microscopy (SEM, TEM), and energy-dispersive X-ray spectroscopy (EDX) methods. Near to the smelter, wasps trapped significantly more particles, which were of bigger size and their surface optical density was higher. Vespula vulgaris accumulated larger particles than V. germanica, but that wasn't associated with morphological characteristics such as body size or hairiness. In both areas, accumulated surface PM carried clays and silicates. Only in polluted environments PM consistently contained metallic and nonmetallic particles (from high to moderate weight %) of Fe, Ni, Cu, and S - major pollutants emitted from the smelter. Wasps from industrially polluted areas carried significantly more granules in the columnar epithelial midgut cells. TEM-EDX analyses identified those structures were associated with metal ions such as Cr, Cu, Ni, and Fe. As epithelial gut cells accumulated metal particles, midgut confirmed as a barrier for metal exposure in wasps. External PM contamination in wasps is suggested as a qualitative, yet a natural and simple descriptor of local industrial emissions.
Collapse
Affiliation(s)
- Oksana Skaldina
- Department of Biology, University of Turku, 20014, Turku, Finland; Department of Environmental and Biological Sciences, University of Eastern Finland, Yliopistonranta 1E, 70211, Kuopio, Finland.
| | - Adrian Łukowski
- Faculty of Forestry and Wood Technology, Poznan University of Life Sciences, Wojska Polskiego 71E, 60-625 Poznań, Poland.
| | - Jari T T Leskinen
- SIB Labs Unit, University of Eastern Finland, Yliopistonranta 1E, 70211 Kuopio, Finland.
| | - Arto P Koistinen
- SIB Labs Unit, University of Eastern Finland, Yliopistonranta 1E, 70211 Kuopio, Finland.
| | - Tapio Eeva
- Department of Biology, University of Turku, 20014, Turku, Finland.
| |
Collapse
|
21
|
Hsu HHL, Wilson A, Schwartz J, Kloog I, Wright RO, Coull BA, Wright RJ. Prenatal Ambient Air Pollutant Mixture Exposure and Early School-age Lung Function. Environ Epidemiol 2023; 7:e249. [PMID: 37064424 PMCID: PMC10097575 DOI: 10.1097/ee9.0000000000000249] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 03/19/2023] [Indexed: 04/09/2023] Open
Abstract
Research linking prenatal ambient air pollution with childhood lung function has largely considered one pollutant at a time. Real-life exposure is to mixtures of pollutants and their chemical components; not considering joint effects/effect modification by co-exposures contributes to misleading results. Methods Analyses included 198 mother-child dyads recruited from two hospitals and affiliated community health centers in Boston, Massachusetts, USA. Daily prenatal pollutant exposures were estimated using satellite-based hybrid chemical-transport models, including nitrogen dioxide(NO2), ozone(O3), and fine particle constituents (elemental carbon [EC], organic carbon [OC], nitrate [NO3 -], sulfate [SO4 2-], and ammonium [NH4 +]). Spirometry was performed at age 6.99 ± 0.89 years; forced expiratory volume in 1s (FEV1), forced vital capacity (FVC), and forced mid-expiratory flow (FEF25-75) z-scores accounted for age, sex, height, and race/ethnicity. We examined associations between weekly-averaged prenatal pollution mixture levels and outcomes using Bayesian Kernel Machine Regression-Distributed Lag Models (BKMR-DLMs) to identify susceptibility windows for each component and estimate a potentially complex mixture exposure-response relationship including nonlinear effects and interactions among exposures. We also performed linear regression models using time-weighted-mixture component levels derived by BKMR-DLMs adjusting for maternal age, education, perinatal smoking, and temperature. Results Most mothers were Hispanic (63%) or Black (21%) with ≤12 years of education (67%). BKMR-DLMs identified a significant effect for O3 exposure at 18-22 weeks gestation predicting lower FEV1/FVC. Linear regression identified significant associations for O3, NH4 +, and OC with decreased FEV1/FVC, FEV1, and FEF25-75, respectively. There was no evidence of interactions among pollutants. Conclusions In this multi-pollutant model, prenatal O3, OC, and NH4 + were most strongly associated with reduced early childhood lung function.
Collapse
Affiliation(s)
- Hsiao-Hsien Leon Hsu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Joel Schwartz
- Department of Environmental Health, TH Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert O. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brent A. Coull
- Department of Biostatistics, TH Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Rosalind J. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| |
Collapse
|
22
|
Priya PS, Guru A, Meenatchi R, Haridevamuthu B, Velayutham M, Seenivasan B, Pachaiappan R, Rajagopal R, Kuppusamy P, Juliet A, Arockiaraj J. Syringol, a wildfire residual methoxyphenol causes cytotoxicity and teratogenicity in zebrafish model. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 864:160968. [PMID: 36549541 DOI: 10.1016/j.scitotenv.2022.160968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 12/12/2022] [Accepted: 12/12/2022] [Indexed: 06/17/2023]
Abstract
Natural toxicants, particularly methoxy phenols (MPs) generated by wildfire lignin, can accumulate in the environment, and cause serious health hazards in living organisms. Although the toxicity of MPs such as guaiacol and catechol has recently been described, there is minimal evidence of ecotoxicological effects of syringol. As a result, this study focuses on determining the toxicity by evaluating the cytotoxic and teratogenic effects of syringol in vitro and in vivo in human embryonic kidney (HEK-293) cells and zebrafish embryos, respectively. The ecotoxicity of syringol was predicted to be 63.8 mg/L using the ECOSAR (ECOlogical Structure Activity Relationship) prediction tool, and molecular docking analysis was used to determine the interaction and binding affinities of syringol with human apoptotic proteins in silico. In HEK-293 cells, exposure of syringol (0.5-2 mg/L) has induced cytotoxicity in a concentration-dependent manner. In zebrafish larvae, exposure of syringol (0.5-2 mg/L) has induced dose-dependent embryo toxic effects (or growth abnormalities such as yolk sac edema, pericardial edema, skeletal abnormality, and hyperemia), and changes in growth morphometrics (head height, eye, yolk sac, and pericardial area, heart rate) in particular, the heart rate of larvae was found to be significantly decreased (p<0.001). After a 4-day experimental trial, the accumulated concentration of syringol in zebrafish larvae was confirmed both qualitatively (HPLC-MS - High Performance Liquid Chromatography-Mass spectrometry) and quantitatively (LC-QTOF-HRMS - Liquid Chromatography-Quadrupolar Time of Flight-High Resolution Mass spectrometry). The craniofacial abnormalities induced by syringol exposure (0.5-2 mg/L) were detected as anomalies in cartilaginous development and locomotor deficits using alcian blue staining and locomotor analyses, respectively. Significant increase in oxidative stress parameters (including reactive oxygen species generation, lipid peroxidation, superoxide dismutase, catalase, lactate dehydrogenase and nitric oxide production) (p<0.001) and substantial decrease in glutathione levels were observed (p<0.05) in syringol exposed zebrafish larvae through enzymatic analysis. Additionally, through acridine orange staining and gene expression analyses, syringol (2 mg/L) was found to activate apoptosis in zebrafish larvae. Considering the cytotoxic, embryotoxic (teratogenicity), and oxidative stress-related apoptotic effects of syringol in the zebrafish model, syringol has the potential to emerge as a potent environmental toxicant posing serious health hazards in many living systems; however, further research on its toxicological effects on the actual ecosystem and in higher animal models is required to confirm its consequences.
Collapse
Affiliation(s)
- P Snega Priya
- Department of Biotechnology, College of Science and Humanities, SRM Institute of Science and Technology, Kattankulatur, 603 203 Chennai, Tamil Nadu, India
| | - Ajay Guru
- Department of Conservative Dentistry and Endodontics, Saveetha Dental College and Hospitals, SIMATS, 600 077 Chennai, Tamil Nadu, India
| | - Ramu Meenatchi
- Department of Biotechnology, College of Science and Humanities, SRM Institute of Science and Technology, Kattankulatur, 603 203 Chennai, Tamil Nadu, India
| | - B Haridevamuthu
- Department of Biotechnology, College of Science and Humanities, SRM Institute of Science and Technology, Kattankulatur, 603 203 Chennai, Tamil Nadu, India
| | - Manikandan Velayutham
- Department of Medical Biotechnology and Integrative Physiology, Saveetha School of Engineering, SIMATS, 600 077, Chennai, Tamil Nadu, India
| | - Boopathi Seenivasan
- Department of Biotechnology, College of Science and Humanities, SRM Institute of Science and Technology, Kattankulatur, 603 203 Chennai, Tamil Nadu, India
| | - Raman Pachaiappan
- Department of Biotechnology, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, 603 203 Chennai, Tamil Nadu, India
| | - Rajakrishnan Rajagopal
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Palaniselvam Kuppusamy
- Department of Animal Biotechnology, Jeonbuk National University, Jeonju 54896, South Korea
| | - Annie Juliet
- Foundation for Aquaculture Innovations and Technology Transfer (FAITT), Thoraipakkam, Chennai 600 097, Tamil Nadu, India
| | - Jesu Arockiaraj
- Department of Biotechnology, College of Science and Humanities, SRM Institute of Science and Technology, Kattankulatur, 603 203 Chennai, Tamil Nadu, India.
| |
Collapse
|
23
|
Jeong S, Shin EC, Lee JH, Ha JH. Particulate Matter Elevates Ocular Inflammation and Endoplasmic Reticulum Stress in Human Retinal Pigmented Epithelium Cells. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4766. [PMID: 36981676 PMCID: PMC10049273 DOI: 10.3390/ijerph20064766] [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: 02/03/2023] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 06/18/2023]
Abstract
Because of their exposure to air, eyes can come into contact with air pollutants such as particulate matter (PM), which may cause severe ocular pathologies. Prolonged ocular PM exposure may increase inflammation and endoplasmic reticulum stress in the retina. Herein, we investigated whether PM exposure induces ocular inflammation and endoplasmic reticulum (ER) stress-related cellular responses in human retinal epithelium-19 (ARPE-19) cells. To understand how PM promotes ocular inflammation, we monitored the activation of the mitogen-activated protein kinase (MAPK)/nuclear factor kappa beta (NFκB) axis and the expression of key inflammatory mRNAs. We also measured the upregulation of signature components for the ER-related unfolded protein response (UPR) pathways, as well as intracellular calcium ([Ca2+]i) levels, as readouts for ER stress induction following PM exposure. Ocular PM exposure significantly elevated the expression of multiple cytokine mRNAs and increased phosphorylation levels of NFκB-MAPK axis in a PM dose-dependent manner. Moreover, incubation with PM significantly increased [Ca2+]i levels and the expression of UPR-related proteins, which indicated ER stress resulting from cell hypoxia, and upregulation of hypoxic adaptation mechanisms such as the ER-associated UPR pathways. Our study demonstrated that ocular PM exposure increased inflammation in ARPE-19 cells, by activating the MAPK/NFκB axis and cytokine mRNA expression, while also inducing ER stress and stress adaptation responses. These findings may provide helpful insight into clinical and non-clinical research examining the role of PM exposure in ocular pathophysiology and delineating its underlying molecular mechanisms.
Collapse
Affiliation(s)
- Sunyoung Jeong
- Bioanalytical and Pharmacokinetic Research Group, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea
- Department of Human and Environmental Toxicology, University of Science and Technology, Daejeon 34113, Republic of Korea
| | - Eui-Cheol Shin
- Department of GreenBio Science/Food Science and Technology, Gyeongsang National University, Jinju 52725, Republic of Korea
| | - Jong-Hwa Lee
- Bioanalytical and Pharmacokinetic Research Group, Korea Institute of Toxicology, Daejeon 34114, Republic of Korea
- Department of Human and Environmental Toxicology, University of Science and Technology, Daejeon 34113, Republic of Korea
| | - Jung-Heun Ha
- Department of Food Science and Nutrition, Dankook University, Cheonan 31116, Republic of Korea
- Research Center for Industrialization of Natural Neutralization, Dankook University, Yongin 16890, Republic of Korea
| |
Collapse
|
24
|
Olesiejuk K, Chałubiński M. How does particulate air pollution affect barrier functions and inflammatory activity of lung vascular endothelium? Allergy 2023; 78:629-638. [PMID: 36588285 DOI: 10.1111/all.15630] [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: 09/23/2022] [Revised: 12/17/2022] [Accepted: 12/20/2022] [Indexed: 01/03/2023]
Abstract
Both particulate matter and gaseous components of air pollution have already been shown to increase cardiovascular mortality in numerous studies. It is, however, important to note that on their way to the bloodstream the polluting agents pass the lung barrier. Inside the alveoli, particles of approximately 0.4-1 μm are most efficiently deposited and commonly undergo phagocytosis by lung macrophages. Not only the soluble agents, but also particles fine enough to leave the alveoli enter the bloodstream in this finite part of the endothelium, reaching thus higher concentrations in close proximity of the alveoli and endothelium. Additionally, deposits of particulate matter linger in direct proximity of the endothelial cells and may induce inflammation, immune responses, and influence endothelial barrier dysfunction thus increasing PM bioavailability in positive feedback. The presented discussion provides an overview of possible components of indoor PM and how endothelium is thus influenced, with emphasis on lung vascular endothelium and clinical perspectives.
Collapse
Affiliation(s)
- Krzysztof Olesiejuk
- Department of Immunology and Allergy, Chair of Pulmonology, Rheumatology and Clinical Immunology, Medical University of Lodz, Lodz, Poland
| | - Maciej Chałubiński
- Department of Immunology and Allergy, Chair of Pulmonology, Rheumatology and Clinical Immunology, Medical University of Lodz, Lodz, Poland
| |
Collapse
|
25
|
A Review of the GSTM1 Null Genotype Modifies the Association between Air Pollutant Exposure and Health Problems. Int J Genomics 2023; 2023:4961487. [PMID: 36793931 PMCID: PMC9925255 DOI: 10.1155/2023/4961487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 02/08/2023] Open
Abstract
Air pollution is one of the significant environmental risks known as the cause of premature deaths. It has deleterious effects on human health, including deteriorating respiratory, cardiovascular, nervous, and endocrine functions. Exposure to air pollution stimulates reactive oxygen species (ROS) production in the body, which can further cause oxidative stress. Antioxidant enzymes, such as glutathione S-transferase mu 1 (GSTM1), are essential to prevent oxidative stress development by neutralizing excess oxidants. When the antioxidant enzyme function is lacking, ROS can accumulate and, thus, cause oxidative stress. Genetic variation studies from different countries show that GSTM1 null genotype dominates the GSTM1 genotype in the population. However, the impact of the GSTM1 null genotype in modifying the association between air pollution and health problem is not yet clear. This study will elaborate on GSTM1's null genotype role in modifying the relationship between air pollution and health problems.
Collapse
|
26
|
Zhang X, Chen X, Yue Y, Wang S, Zhao B, Huang X, Li T, Sun Q, Wang J. Ecological Study on Global Health Effects due to Source-Specific Ambient Fine Particulate Matter Exposure. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:1278-1291. [PMID: 36607898 PMCID: PMC9879273 DOI: 10.1021/acs.est.2c06752] [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: 09/20/2022] [Revised: 12/14/2022] [Accepted: 12/24/2022] [Indexed: 06/17/2023]
Abstract
Ambient air pollution of fine particulate matter with diameters less than 2.5 μm (PM2.5) is associated with millions of premature deaths per year, recognized as a leading global health concern. The dose-response relation between ambient PM2.5 exposure and mortality risk is the most fundamental information for assessments of the health effects of PM2.5. The existing dose-response relations were generally developed based on the assumption of equal contribution to toxicity from various sources. However, the sources of PM2.5 may significantly influence health effects. In this study, we conducted an ecological study to investigate the global long-term correlation between source-specific PM2.5 exposure and cause-specific mortality risk (SPECM) based on the regional aggregate data of the publically available official health databases from 528 regions worldwide with a total registered population of 3.2 billion. The results provided preliminary epidemiological evidence for differing chronic health effects across various sources. The relative mortality risks of lung cancer and circulatory diseases were closely correlated with the primary emissions from industrial and residential combustion sources. Chronic lower respiratory diseases were mostly associated with the mass concentration of particulate matter.
Collapse
Affiliation(s)
- Xiaole Zhang
- Institute
of Environmental Engineering (IfU), ETH
Zürich, ZürichCH-8093, Switzerland
- Laboratory
for Advanced Analytical Technologies, Empa, DübendorfCH-8600, Switzerland
- Institute
of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing100084, China
| | - Xi Chen
- Institute
of Environmental Engineering (IfU), ETH
Zürich, ZürichCH-8093, Switzerland
| | - Yang Yue
- Institute
of Environmental Engineering (IfU), ETH
Zürich, ZürichCH-8093, Switzerland
- Laboratory
for Advanced Analytical Technologies, Empa, DübendorfCH-8600, Switzerland
| | - Shuxiao Wang
- State
Key Joint Laboratory of Environmental Simulation and Pollution Control,
School of Environment, Tsinghua University, Beijing100084, China
| | - Bin Zhao
- State
Key Joint Laboratory of Environmental Simulation and Pollution Control,
School of Environment, Tsinghua University, Beijing100084, China
| | - Xinmei Huang
- Institute
of Environmental Engineering (IfU), ETH
Zürich, ZürichCH-8093, Switzerland
| | - Tiantian Li
- China
CDC Key Laboratory of Environment and Population Health, National
Institute of Environmental Health, Chinese
Center for Disease Control and Prevention, Beijing100021, China
| | - Qinghua Sun
- China
CDC Key Laboratory of Environment and Population Health, National
Institute of Environmental Health, Chinese
Center for Disease Control and Prevention, Beijing100021, China
| | - Jing Wang
- Institute
of Environmental Engineering (IfU), ETH
Zürich, ZürichCH-8093, Switzerland
- Laboratory
for Advanced Analytical Technologies, Empa, DübendorfCH-8600, Switzerland
| |
Collapse
|
27
|
Rahman MM, Carter SA, Lin JC, Chow T, Yu X, Martinez MP, Chen Z, Chen JC, Rud D, Lewinger JP, van Donkelaar A, Martin RV, Eckel SP, Schwartz J, Lurmann F, Kleeman MJ, McConnell R, Xiang AH. Associations of Autism Spectrum Disorder with PM 2.5 Components: A Comparative Study Using Two Different Exposure Models. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:405-414. [PMID: 36548990 PMCID: PMC10898516 DOI: 10.1021/acs.est.2c05197] [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] [Indexed: 06/17/2023]
Abstract
This retrospective cohort study examined associations of autism spectrum disorder (ASD) with prenatal exposure to major fine particulate matter (PM2.5) components estimated using two independent exposure models. The cohort included 318 750 mother-child pairs with singleton deliveries in Kaiser Permanente Southern California hospitals from 2001 to 2014 and followed until age five. ASD cases during follow-up (N = 4559) were identified by ICD codes. Prenatal exposures to PM2.5, elemental (EC) and black carbon (BC), organic matter (OM), nitrate (NO3-), and sulfate (SO42-) were constructed using (i) a source-oriented chemical transport model and (ii) a hybrid model. Exposures were assigned to each maternal address during the entire pregnancy, first, second, and third trimester. In single-pollutant models, ASD was associated with pregnancy-average PM2.5, EC/BC, OM, and SO42- exposures from both exposure models, after adjustment for covariates. The direction of effect estimates was consistent for EC/BC and OM and least consistent for NO3-. EC/BC, OM, and SO42- were generally robust to adjustment for other components and for PM2.5. EC/BC and OM effect estimates were generally larger and more consistent in the first and second trimester and SO42- in the third trimester. Future PM2.5 composition health effect studies might consider using multiple exposure models and a weight of evidence approach when interpreting effect estimates.
Collapse
Affiliation(s)
- Md Mostafijur Rahman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Sarah A Carter
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California 91101, United States
| | - Jane C Lin
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California 91101, United States
| | - Ting Chow
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California 91101, United States
| | - Xin Yu
- Spatial Science Institute, University of Southern California, Los Angeles, California 90089, United States
| | - Mayra P Martinez
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California 91101, United States
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Daniel Rud
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Juan P Lewinger
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Aaron van Donkelaar
- Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, St. Louis, Missouri 63130, United States
| | - Randall V Martin
- Department of Energy, Environmental & Chemical Engineering, Washington University at St. Louis, St. Louis, Missouri 63130, United States
| | - Sandrah Proctor Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts 02115, United States
| | - Fred Lurmann
- Sonoma Technology, Inc., Petaluma, California 94954, United States
| | - Michael J Kleeman
- Department of Civil and Environmental Engineering, University of California, Davis, Davis, California 95616, United States
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Anny H Xiang
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California 91101, United States
| |
Collapse
|
28
|
Abolhasani E, Hachinski V, Ghazaleh N, Azarpazhooh MR, Mokhber N, Martin J. Air Pollution and Incidence of Dementia: A Systematic Review and Meta-analysis. Neurology 2023; 100:e242-e254. [PMID: 36288998 DOI: 10.1212/wnl.0000000000201419] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 08/31/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Studies of association between air pollution and incidence of dementia have shown discrepant results. The aim of this study was to evaluate the association between air pollution and dementia. METHODS In this systematic review and meta-analysis, PubMed, MEDLINE, EMBASE, PsycINFO, Scopus, and Web of Science were searched and updated in August 2021. Population-based cohort studies that reported on hazard ratio (HR) of dementia in association with exposure to fine particulate matter (PM2·5), nitrogen oxides (NOX), nitrogen dioxide (NO2), or ozone (O3) in those aged >40 years were included. Data were extracted by 2 independent investigators. The main outcome was the pooled HR for dementia per increment of pollutant, calculated using a random-effects model. Results were reported in accordance with PRISMA guidelines. The protocol was registered in PROSPERO (registration number: CRD42020219036). RESULTS A total of 20 studies were included in the systematic review, and 17 provided data for the meta-analysis. The total included population was 91,391,296, with 5,521,111 (6%) being diagnosed with dementia. A total of 12, 5, 6, and 4 studies were included in the meta-analyses of PM2·5, NOX, NO2, and O3, respectively. The risk of dementia increased by 3% per 1 μg/m3 increment in PM2·5 (HR, 1.03; 95% CI [1.02-1.05]; I2 = 100%). The association between dementia per 10 μg/m3 increment in NOX (HR, 1.05; 95% CI [0.99-1.13]; I2 = 61%), NO2 (HR, 1.03; 95% CI [1.00-1.07]; I2 = 94%), and O3 levels (HR, 1.01; 95% CI [0.91-1.11]; I2 = 82%) was less clear, although a significant association could not be ruled out, and there was high heterogeneity across studies. DISCUSSION Existing evidence suggests a significant association between exposure to PM2·5 and incidence of dementia and nonsignificant association between dementia and NOX, NO2, and O3 exposure. However, results should be interpreted in light of the small number of studies and high heterogeneity of effects across studies.
Collapse
Affiliation(s)
- Ehsan Abolhasani
- From the Department of Epidemiology and Biostatistics (E.A., V.H., M.R.A., J.M), Clinical Neurological Sciences (V.H., M.R.A.), and Neuroscience Program (N.G.), Schulich School of Medicine and Dentistry, Western University, London, ON; Department of Psychiatry (N.M.), Schulich School of Medicine and Dentistry, University of Western Ontario, London; and Department of Anesthesia and Perioperative Medicine (J.M.), MEDICI Centre, Western University, London, ON, Canada
| | - Vladimir Hachinski
- From the Department of Epidemiology and Biostatistics (E.A., V.H., M.R.A., J.M), Clinical Neurological Sciences (V.H., M.R.A.), and Neuroscience Program (N.G.), Schulich School of Medicine and Dentistry, Western University, London, ON; Department of Psychiatry (N.M.), Schulich School of Medicine and Dentistry, University of Western Ontario, London; and Department of Anesthesia and Perioperative Medicine (J.M.), MEDICI Centre, Western University, London, ON, Canada
| | - Nargess Ghazaleh
- From the Department of Epidemiology and Biostatistics (E.A., V.H., M.R.A., J.M), Clinical Neurological Sciences (V.H., M.R.A.), and Neuroscience Program (N.G.), Schulich School of Medicine and Dentistry, Western University, London, ON; Department of Psychiatry (N.M.), Schulich School of Medicine and Dentistry, University of Western Ontario, London; and Department of Anesthesia and Perioperative Medicine (J.M.), MEDICI Centre, Western University, London, ON, Canada
| | - Mahmoud Reza Azarpazhooh
- From the Department of Epidemiology and Biostatistics (E.A., V.H., M.R.A., J.M), Clinical Neurological Sciences (V.H., M.R.A.), and Neuroscience Program (N.G.), Schulich School of Medicine and Dentistry, Western University, London, ON; Department of Psychiatry (N.M.), Schulich School of Medicine and Dentistry, University of Western Ontario, London; and Department of Anesthesia and Perioperative Medicine (J.M.), MEDICI Centre, Western University, London, ON, Canada
| | - Naghmeh Mokhber
- From the Department of Epidemiology and Biostatistics (E.A., V.H., M.R.A., J.M), Clinical Neurological Sciences (V.H., M.R.A.), and Neuroscience Program (N.G.), Schulich School of Medicine and Dentistry, Western University, London, ON; Department of Psychiatry (N.M.), Schulich School of Medicine and Dentistry, University of Western Ontario, London; and Department of Anesthesia and Perioperative Medicine (J.M.), MEDICI Centre, Western University, London, ON, Canada
| | - Janet Martin
- From the Department of Epidemiology and Biostatistics (E.A., V.H., M.R.A., J.M), Clinical Neurological Sciences (V.H., M.R.A.), and Neuroscience Program (N.G.), Schulich School of Medicine and Dentistry, Western University, London, ON; Department of Psychiatry (N.M.), Schulich School of Medicine and Dentistry, University of Western Ontario, London; and Department of Anesthesia and Perioperative Medicine (J.M.), MEDICI Centre, Western University, London, ON, Canada.
| |
Collapse
|
29
|
Bai X, Wei J, Ren Y, Gao R, Chai F, Li H, Xu F, Kong Y. Pollution characteristics and health risk assessment of polycyclic aromatic hydrocarbons and nitrated polycyclic aromatic hydrocarbons during heating season in Beijing. J Environ Sci (China) 2023; 123:169-182. [PMID: 36521982 DOI: 10.1016/j.jes.2022.02.047] [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: 10/31/2021] [Revised: 02/24/2022] [Accepted: 02/27/2022] [Indexed: 06/17/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) and their nitrated derivatives (NPAHs) attract continuous attention due to their outstanding carcinogenicity and mutagenicity. In order to investigate the diurnal variations, sources, formation mechanism, and health risk assessment of them in heating season, particulate matter (PM) were collected in Beijing urban area from December 26, 2017 to January 17, 2018. PAHs and NPAHs in PM were quantitatively analyzed via gas chromatography-mass spectrometry (GC-MS) . Average daily concentrations of PAHs and NPAHs were (78 ± 54) ng/m3 and (783 ± 684) pg/m3, respectively. The concentrations of them were significantly higher at nighttime than at daytime, and NPAHs concentrations were 1-2 orders of magnitude lower than PAHs concentrations. In the heating season, the dominant species of PAHs include benzo[b]fluoranthene, fluoranthene, pyrene, and chrysene, while 9-nitroanthracene, 2+3-nitrofluoranthene, and 2-nitropyrene were dominant species for NPAHs. NPAHs were found to have a single peak during heating and to be primarily distributed in the 0.4-0.7 µm particle size. Primary emissions such as biomass burning, coal combustion, and traffic emissions were the major sources of PAHs. NPAHs were produced by the primary source of vehicle emissions and the secondary reaction triggered by OH radicals, as well as biomass burning during daytime. According to the health risk assessment, the total carcinogenic risk was higher in adults than in children. While upon oral ingestion, the carcinogenic risk in children was higher than that of adults, but the risk of adults was higher than children through skin contact and respiratory inhalation.
Collapse
Affiliation(s)
- Xurong Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Shandong University, Environment Research Institute, Qingdao 266237, China
| | - Jie Wei
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
| | - Yanqin Ren
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Rui Gao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Fahe Chai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Hong Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Fei Xu
- Shandong University, Environment Research Institute, Qingdao 266237, China
| | - Yuxue Kong
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| |
Collapse
|
30
|
Chen WJ, Rector AM, Guxens M, Iniguez C, Swartz MD, Symanski E, Ibarluzea J, Ambros A, Estarlich M, Lertxundi A, Riano-Galán I, Sunyer J, Fernandez-Somoano A, Chauhan SP, Ish J, Whitworth KW. Susceptible windows of exposure to fine particulate matter and fetal growth trajectories in the Spanish INMA (INfancia y Medio Ambiente) birth cohort. ENVIRONMENTAL RESEARCH 2023; 216:114628. [PMID: 36279916 PMCID: PMC9847009 DOI: 10.1016/j.envres.2022.114628] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 10/13/2022] [Accepted: 10/18/2022] [Indexed: 06/16/2023]
Abstract
While prior studies report associations between fine particulate matter (PM2.5) exposure and fetal growth, few have explored temporally refined susceptible windows of exposure. We included 2328 women from the Spanish INMA Project from 2003 to 2008. Longitudinal growth curves were constructed for each fetus using ultrasounds from 12, 20, and 34 gestational weeks. Z-scores representing growth trajectories of biparietal diameter, femur length, abdominal circumference (AC), and estimated fetal weight (EFW) during early (0-12 weeks), mid- (12-20 weeks), and late (20-34 weeks) pregnancy were calculated. A spatio-temporal random forest model with back-extrapolation provided weekly PM2.5 exposure estimates for each woman during her pregnancy. Distributed lag non-linear models were implemented within the Bayesian hierarchical framework to identify susceptible windows of exposure for each outcome and cumulative effects [βcum, 95% credible interval (CrI)] were aggregated across adjacent weeks. For comparison, general linear models evaluated associations between PM2.5 averaged across multi-week periods (i.e., weeks 1-11, 12-19, and 20-33) and fetal growth, mutually adjusted for exposure during each period. Results are presented as %change in z-scores per 5 μg/m3 in PM2.5, adjusted for covariates. Weeks 1-6 [βcum = -0.77%, 95%CrI (-1.07%, -0.47%)] were identified as a susceptible window of exposure for reduced late pregnancy EFW while weeks 29-33 were positively associated with this outcome [βcum = 0.42%, 95%CrI (0.20%, 0.64%)]. A similar pattern was observed for AC in late pregnancy. In linear regression models, PM2.5 exposure averaged across weeks 1-11 was associated with reduced late pregnancy EFW and AC; but, positive associations between PM2.5 and EFW or AC trajectories in late pregnancy were not observed. PM2.5 exposures during specific weeks may affect fetal growth differentially across pregnancy and such associations may be missed by averaging exposure across multi-week periods, highlighting the importance of temporally refined exposure estimates when studying the associations of air pollution with fetal growth.
Collapse
Affiliation(s)
- Wei-Jen Chen
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Alison M Rector
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA
| | - Monica Guxens
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; ISGlobal, Barcelona, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre (Erasmus MC), Rotterdam, the Netherlands
| | - Carmen Iniguez
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Statistics and Operational Research, Universitat de València, València, Spain; Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Universitat Jaume I-Universitat de València, València, Spain
| | - Michael D Swartz
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA
| | - Elaine Symanski
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA; Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
| | - Jesús Ibarluzea
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastian, Spain; Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013, San Sebastian, Spain; Faculty of Psychology, Universidad del País Vasco (UPV/EHU), San Sebastian, Spain
| | - Albert Ambros
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; ISGlobal, Barcelona, Spain
| | - Marisa Estarlich
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Universitat Jaume I-Universitat de València, València, Spain; Faculty of Nursing and Chiropody, Universitat de València, València, Spain
| | - Aitana Lertxundi
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastian, Spain; Department of Preventive Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Isolina Riano-Galán
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; Servicio de Pediatría, Endocrinología pediátrica, Hospital Universitario Central de Asturias (HUCA), Oviedo, Spain
| | - Jordi Sunyer
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; ISGlobal, Barcelona, Spain
| | - Ana Fernandez-Somoano
- Spanish Consortium for Research and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain; IUOPA-Área de Medicina Preventiva y Salud Pública, Departamento de Medicina, Universidad de Oviedo, Oviedo, Spain
| | - Suneet P Chauhan
- Department of Obstetrics, Gynecology and Reproductive Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Jennifer Ish
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Durham, NC, USA
| | - Kristina W Whitworth
- Department of Medicine, Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, TX, USA; Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA.
| |
Collapse
|
31
|
Zare Sakhvidi MJ, Lafontaine A, Lequy E, Berr C, de Hoogh K, Vienneau D, Goldberg M, Zins M, Lemogne C, Jacquemin B. Ambient air pollution exposure and depressive symptoms: Findings from the French CONSTANCES cohort. ENVIRONMENT INTERNATIONAL 2022; 170:107622. [PMID: 36384066 DOI: 10.1016/j.envint.2022.107622] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 11/06/2022] [Accepted: 11/07/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND AND AIM Few studies have reported the association between air pollution exposure with different dimensions of depression. We aimed to explore this association across different dimensions of depressive symptoms in a large population. METHODS Data from the enrollment phase of the French CONSTANCES cohort (2012-2020) were analyzed cross-sectionally. Annual concentrations of particulate matter with a diameter < 2.5 µm (PM2.5), black carbon (BC), and nitrogen dioxide (NO2) from the land-use regression models were assigned to the residential addresses of participants. Total depressive symptoms and its four dimensions (depressed affect, disturbed interpersonal relations, low positive affect, somatic complaints) were measured using Centre of Epidemiologic Studies Depression questionnaire (CES-D). We reported results of negative binomial regression models (reported as Incidence Rate Ratio (IRR) and 95 % confidence interval (CI) for an interquartile range (IQR) increase in exposure), for each pollutant separately. Stratified analyses were performed by sex, income, family status, education, and neighborhood deprivation. RESULTS The study included 123,754 participants (mean age, 46.50 ± 13.61 years; 52.4 % women). The mean concentration of PM2.5, BC and NO2 were 17.14 µg/m3 (IQR = 4.89), 1.82 10-5/m (IQR = 0.88) and 26.58 µg/m3 (IQR = 17.41) respectively. Exposures to PM2.5, BC and NO2 were significantly associated with a higher CES-D total (IRR = 1.022; 95 % CI = 1.002: 1.042, IRR = 1.027; 95 % CI = 1.013: 1.040, and IRR = 1.029; 95 % CI = 1.015: 1.042 respectively), and with depressed affect, and somatic complaints. For all pollutants, a higher estimate was observed for depressed affect. We found stronger adverse associations for men, lower-income participants, low and middle education groups, those living in highly deprived areas, and single participants. CONCLUSION Our finding could assist the exploration of the etiological pathway of air pollution on depression and also considering primary prevention strategies in the areas with air pollution.
Collapse
Affiliation(s)
- Mohammad Javad Zare Sakhvidi
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - Antoine Lafontaine
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France
| | - Emeline Lequy
- Université Paris Cité, Unité "Cohortes en Population" INSERM, Université Paris Saclay, UVSQ, UMS 011 Paris, France
| | - Claudine Berr
- University of Montpellier, INM, Inserm U1198 Neuropeps team, Montpellier, France; Memory Research and Resources Center, Department of Neurology, Montpellier, France
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Marcel Goldberg
- Université Paris Cité, Unité "Cohortes en Population" INSERM, Université Paris Saclay, UVSQ, UMS 011 Paris, France
| | - Marie Zins
- Université Paris Cité, Unité "Cohortes en Population" INSERM, Université Paris Saclay, UVSQ, UMS 011 Paris, France
| | - Cédric Lemogne
- Université Paris Cité, INSERM U1266, Institut de Psychiatrie et Neurosciences de Paris, F-75014 Paris, France; Service de Psychiatrie de l'adulte, AP-HP, Hôpital Hôtel-Dieu, F-75004 Paris, France
| | - Bénédicte Jacquemin
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France.
| |
Collapse
|
32
|
Aslam I, Roeffaers MBJ. Carbonaceous Nanoparticle Air Pollution: Toxicity and Detection in Biological Samples. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:nano12223948. [PMID: 36432235 PMCID: PMC9698098 DOI: 10.3390/nano12223948] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/04/2022] [Accepted: 11/05/2022] [Indexed: 05/27/2023]
Abstract
Among the different air pollutants, particulate matter (PM) is of great concern due to its abundant presence in the atmosphere, which results in adverse effects on the environment and human health. The different components of PM can be classified based on their physicochemical properties. Carbonaceous particles (CPs) constitute a major fraction of ultrafine PM and have the most harmful effects. Herein, we present a detailed overview of the main components of CPs, e.g., carbon black (CB), black carbon (BC), and brown carbon (BrC), from natural and anthropogenic sources. The emission sources and the adverse effects of CPs on the environment and human health are discussed. Particularly, we provide a detailed overview of the reported toxic effects of CPs in the human body, such as respiratory effects, cardiovascular effects, neurodegenerative effects, carcinogenic effects, etc. In addition, we also discuss the challenges faced by and limitations of the available analytical techniques for the qualitative and quantitative detection of CPs in atmospheric and biological samples. Considering the heterogeneous nature of CPs and biological samples, a detailed overview of different analytical techniques for the detection of CPs in (real-exposure) biological samples is also provided. This review provides useful insights into the classification, toxicity, and detection of CPs in biological samples.
Collapse
|
33
|
Hsiao YC, Liu CW, Robinette C, Knight N, Lu K, Rebuli ME. Development of LC-HRMS untargeted analysis methods for nasal epithelial lining fluid exposomics. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2022; 32:847-854. [PMID: 35750751 PMCID: PMC9742129 DOI: 10.1038/s41370-022-00448-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 04/27/2022] [Accepted: 05/26/2022] [Indexed: 05/25/2023]
Abstract
BACKGROUND The nasal mucosa, as a primary site of entry for inhaled substances, contains both inhaled xenobiotic and endogenous biomarkers. Nasal mucosa can be non-invasively sampled (nasal epithelial lining fluid "NELF") and analyzed for biological mediators. However, methods for untargeted analysis of compounds inhaled and/or retained in the nasal mucosa are needed. OBJECTIVES This study aimed to develop a high resolution LC-MS untargeted method to analyze collected NELF. Profiling of compounds in NELF samples will also provide baseline data for future comparative studies to reference. METHODS Extracted NELF analytes were injected to LC-ESI-MS. After spectrum processing, an in-house library provided annotations with high confidence, while more tentative annotation proposals were obtained via ChemSpider database matching. RESULTS The established method successfully detected unique molecular signatures within NELF. Baseline profiling of 27 samples detected 2002 unknown molecules, with 77 and 463 proposed structures by our in-house library and Chemspider matching. High confidence annotations revealed common metabolites and tentative annotations implied various environmental exposure biomarkers are also present in NELF. SIGNIFICANCE The experimental pipeline for analyzing NELF samples serves as simple and robust method applicable for future studies to characterize identities/effects of inhaled substances and metabolites retained in the nasal mucosa. IMPACT STATEMENT The nasal mucosa contains exogenous and endogenous compounds. The development of an untargeted analysis is necessary to characterize the nasal exposome by deciphering the identity and influence of inhaled compounds on nasal mucosal biology. This study established a high resolution LC-MS based untargeted analysis of non-invasively collected nasal epithelial lining fluid. Baseline profiling of the nasal mucosa (n = 27) suggests the presence of environmental pollutants, along with detection of endogenous metabolites. Our results show high potential for the analytical pipeline to facilitate future respiratory health studies involving inhaled pollutants or pharmaceutical compounds and their effects on respiratory biology.
Collapse
Affiliation(s)
- Yun-Chung Hsiao
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Chih-Wei Liu
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Carole Robinette
- Center for Environmental Medicine, Asthma and Lung Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Noelle Knight
- Center for Environmental Medicine, Asthma and Lung Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Kun Lu
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
| | - Meghan E Rebuli
- Center for Environmental Medicine, Asthma and Lung Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
- Department of Pediatrics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
| |
Collapse
|
34
|
Saha PK, Presto AA, Hankey S, Murphy BN, Allen C, Zhang W, Marshall JD, Robinson AL. National Exposure Models for Source-Specific Primary Particulate Matter Concentrations Using Aerosol Mass Spectrometry Data. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:14284-14295. [PMID: 36153982 DOI: 10.1021/acs.est.2c03398] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
This paper investigates the feasibility of developing national empirical models to predict ambient concentrations of sparsely monitored air pollutants at high spatial resolution. We used a data set of cooking organic aerosol (COA) and hydrocarbon-like organic aerosol (HOA; traffic primary organic PM) measured using aerosol mass spectrometry across the continental United States. The monitoring locations were selected to span the national distribution of land-use and source-activity variables commonly used for land-use regression modeling (e.g., road length, restaurant count, etc.). The models explain about 60% of the spatial variability of the measured data (R2 0.63 for the COA model and 0.62 for the HOA model). Extensive cross-validation suggests that the models are robust with reasonable transferability. The models predict large urban-rural and intra-urban variability with hotspots in urban areas and along the road corridors. The predicted national concentration surfaces show reasonable spatial correlation with source-specific national chemical transport model (CTM) simulations (R2: 0.45 for COA, 0.4 for HOA). Our measured data, empirical models, and CTM predictions all show that COA concentrations are about two times higher than HOA. Since COA and HOA are important contributors to the intra-urban spatial variability of the total PM2.5, our results highlight the potential importance of controlling commercial cooking emissions for air quality management in the United States.
Collapse
Affiliation(s)
- Provat K Saha
- Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
| | - Albert A Presto
- Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
| | - Steve Hankey
- School of Public and International Affairs, Virginia Tech, Blacksburg, Virginia 24061, United States
| | - Benjamin N Murphy
- Center for Environmental Measurement and Modeling, U.S. Environmental Protection Agency, Research Triangle Park, Durham, North Carolina 27709, United States
| | - Chris Allen
- General Dynamics Information Technology, Research Triangle Park, Durham, North Carolina 27711, United States
| | - Wenwen Zhang
- Department of Public Informatics, Rutgers University, New Brunswick, New Jersey 08901, United States
| | - Julian D Marshall
- Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington 98195, United States
| | - Allen L Robinson
- Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
| |
Collapse
|
35
|
Jumlongkul A. Water-based air purifier with ventilation fan system: a novel approach for cleaning indoor/outdoor transitional air during the pandemic. SN APPLIED SCIENCES 2022; 4:257. [PMID: 36091920 PMCID: PMC9443626 DOI: 10.1007/s42452-022-05142-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 08/22/2022] [Indexed: 11/28/2022] Open
Abstract
Abstract This article presents the design and fabrication of an air purifier that uses a water-based technique to clean indoor/outdoor transitional air to provide a low-tech air purifier against the annual smog crisis and the ongoing COVID-19 pandemic. The air purifier was designed and built. All tests were conducted in a closed room as well as a semi-outdoor area. Particle sizes of PM0.3, 0.5, 1.0, 3.0, 5.0, and 10 μm (particle/m3) were measured at an air inlet, air outlet, 2 m from an air inlet, and 4 m from an air outlet after 0, 5, 10, 15, and 20 min of air treatment, respectively, as well as CO2 levels and relative humidity (RH). The average airflow rate was also measured. When compare to 0 min, all parameters, except semi-outdoor PM0.3 and CO2 levels, tend to decrease in both indoor and semi-outdoor conditions. When measure by total airflow specification of a dual ventilation fan, the average airflow rate at an air outlet is reduced by 20 times. Article Highlights Design and fabrication of a water-based air purifier. A low-tech air purifier helping to protect against the annual smog crisis and the ongoing COVID-19 pandemic. The novel water-based air purifier effectively traps air particles ranging in size from 0.5 to 10 µm.
Collapse
|
36
|
Sharma S, Chandra M, Harsha Kota S. Four year long simulation of carbonaceous aerosols in India: Seasonality, sources and associated health effects. ENVIRONMENTAL RESEARCH 2022; 213:113676. [PMID: 35728639 DOI: 10.1016/j.envres.2022.113676] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/26/2022] [Accepted: 06/10/2022] [Indexed: 06/15/2023]
Abstract
India's air quality is in a dismal state, with many studies ascribing it to PM2.5. Most of these corroborate that carbonaceous aerosol (CA) constitute significant fraction of PM2.5. However, investigations on the effect of long-term meteorological or emission changes on PM2.5 and its components, and their associated health effects are rare. In this work, WRF-Chem simulations for three seasons over four years (2016-2019) were carried out to cogitate the spatial and temporal changes in PM2.5 and its components in India. Model predicted PM2.5 concentrations were in good agreement with the ground-based observations for 25 cities. PM2.5 was highest in winter and lowest in pre-monsoon. PM2.5 reduced by ∼8% in Indo-Gangetic Plain (IGP) but increased by ∼38% and ∼130% in south and northeast India, respectively, from 2016 to 2019. IGP witnessed three times higher average PM2.5 concentrations than south India. No significant interannual change in CA contributions was observed, however, it peaked in the winter season. Other inorganics (OIN) were the major component of PM2.5, contributing more than 40%. Primary organic aerosol (POA) fractions were higher in north India, while secondary inorganic aerosol (SIA) dominated south India. Transport and residential sectors were the chief contributors to CA across India. Biomass burning contributed up to ∼23% of PM2.5 in regions of IGP during post-monsoon, with CA fractions up to 50%. Associations between PM2.5 and its components with daily inpatient admissions from a tertiary care centre in Delhi showed that PM2.5 and OIN had lower associations with daily hospital admissions than CA. Every 10 μg/m3 increase in POA, black carbon (BC), and secondary organic aerosol (SOA) were associated with ∼1.09%, ∼3.07% and ∼4.93% increase in the risk of daily hospital admissions. This invigorates the need for more policies targeting CA rather than PM2.5 to mitigate associated health risks, in India.
Collapse
Affiliation(s)
- Shubham Sharma
- Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110 016, India
| | - Mina Chandra
- Department of Psychiatry, Centre of Excellence in Mental Health, Atal Bihari Vajpayee Institute of Medical Sciences and Dr Ram Manohar Lohia Hospital, New Delhi, 110001, India
| | - Sri Harsha Kota
- Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110 016, India; Arun Duggal Centre of Excellence for Research in Climate Change and Air Pollution (CERCA), IIT Delhi, New Delhi, 110016, India.
| |
Collapse
|
37
|
Vanka KS, Shukla S, Gomez HM, James C, Palanisami T, Williams K, Chambers DC, Britton WJ, Ilic D, Hansbro PM, Horvat JC. Understanding the pathogenesis of occupational coal and silica dust-associated lung disease. Eur Respir Rev 2022; 31:31/165/210250. [PMID: 35831008 DOI: 10.1183/16000617.0250-2021] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 04/20/2022] [Indexed: 01/15/2023] Open
Abstract
Workers in the mining and construction industries are at increased risk of respiratory and other diseases as a result of being exposed to harmful levels of airborne particulate matter (PM) for extended periods of time. While clear links have been established between PM exposure and the development of occupational lung disease, the mechanisms are still poorly understood. A greater understanding of how exposures to different levels and types of PM encountered in mining and construction workplaces affect pathophysiological processes in the airways and lungs and result in different forms of occupational lung disease is urgently required. Such information is needed to inform safe exposure limits and monitoring guidelines for different types of PM and development of biomarkers for earlier disease diagnosis. Suspended particles with a 50% cut-off aerodynamic diameter of 10 µm and 2.5 µm are considered biologically active owing to their ability to bypass the upper respiratory tract's defences and penetrate deep into the lung parenchyma, where they induce potentially irreversible damage, impair lung function and reduce the quality of life. Here we review the current understanding of occupational respiratory diseases, including coal worker pneumoconiosis and silicosis, and how PM exposure may affect pathophysiological responses in the airways and lungs. We also highlight the use of experimental models for better understanding these mechanisms of pathogenesis. We outline the urgency for revised dust control strategies, and the need for evidence-based identification of safe level exposures using clinical and experimental studies to better protect workers' health.
Collapse
Affiliation(s)
- Kanth Swaroop Vanka
- School of Biomedical Sciences and Pharmacy, The University of Newcastle/Priority Research Centre for Healthy Lungs, Hunter Medical Research Institute, The University of Newcastle, Newcastle, NSW, Australia.,Division of Pulmonary, Allergy, and Critical Care Medicine, Dept of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Lung Biology Institute, University of Pennsylvania, Philadelphia, PA, USA
| | - Shakti Shukla
- Discipline of Pharmacy, Graduate School of Health, University of Technology Sydney, Sydney, NSW, Australia
| | - Henry M Gomez
- School of Biomedical Sciences and Pharmacy, The University of Newcastle/Priority Research Centre for Healthy Lungs, Hunter Medical Research Institute, The University of Newcastle, Newcastle, NSW, Australia
| | - Carole James
- School of Health Sciences, The University of Newcastle, Newcastle, NSW, Australia
| | - Thava Palanisami
- Global Innovative Centre for Advanced Nanomaterials, College of Engineering, Science and Environment (CERSE), The University of Newcastle, Newcastle, NSW, Australia
| | - Kenneth Williams
- Newcastle Institute for Energy and Resources (NIER), School of Engineering, The University of Newcastle, Newcastle, NSW, Australia
| | - Daniel C Chambers
- School of Clinical Medicine, The University of Queensland, Brisbane, QLD, Australia.,Queensland Lung Transplant Program, The Prince Charles Hospital, Brisbane, QLD, Australia
| | - Warwick J Britton
- Centenary Institute, The University of Sydney, Sydney, NSW, Australia.,Dept of Clinical Immunology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Dusan Ilic
- Newcastle Institute for Energy and Resources (NIER), School of Engineering, The University of Newcastle, Newcastle, NSW, Australia
| | - Philip Michael Hansbro
- School of Biomedical Sciences and Pharmacy, The University of Newcastle/Priority Research Centre for Healthy Lungs, Hunter Medical Research Institute, The University of Newcastle, Newcastle, NSW, Australia.,Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia.,School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia.,P.M. Hansbro and J.C. Horvat have equally contributed as senior authors
| | - Jay Christopher Horvat
- School of Biomedical Sciences and Pharmacy, The University of Newcastle/Priority Research Centre for Healthy Lungs, Hunter Medical Research Institute, The University of Newcastle, Newcastle, NSW, Australia .,P.M. Hansbro and J.C. Horvat have equally contributed as senior authors
| |
Collapse
|
38
|
Rezayat AA, Niloufar Jafari, Mir Nourbakhsh SH, Hasheminezhad Hoseini FS, Hooshmand N, Ghasemi Nour M, Handjani F, Tabrizi R. The effect of air pollution on systemic lupus erythematosus: A systematic review and meta-analysis. Lupus 2022; 31:1606-1618. [PMID: 36134726 DOI: 10.1177/09612033221127569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Systemic lupus erythematosus (SLE) is an autoimmune disease resulting from impaired inflammatory responses. Given the role of air pollution on increasing inflammatory mediators, thus, we aimed to systematically review and meta-analyze evidence regarding an association between short-term exposure to air pollution and SLE onset, activity, and hospitalization. METHODS Electronic databases including Web of Science, PubMed, Scopus, and Embase were searched for all published articles until July 5, 2021. Newcastle Ottawa Scale (NOS) checklist was used to assess the quality of individual studies. Relevant demographic data and the intended results of the selected studies were extracted, and their adjusted risk ratios (RRs) were pooled using random and fixed effect analysis based on the heterogeneity index. FINDINGS Twelve studies were entered in our systematic review, and finally, six publications were enrolled in meta-analysis. Overall, Meta-analysis showed no significant association between an increase of PM2.5 on the third day and SLEDAI score with pooled adjusted RR of 1.212 (95% CI, 0,853-1.721), p-value = 0.284. However, there was a positive relationship between 6 days increase of Particulate matter (PM) 2.5 and the systemic lupus erythematosus disease activity Index (SLEDAI) score (pooled adjusted RR 1.112; 95% CI, 1.005-1.231), p-value = 0.040. There was no significant association between carbon monoxide (CO), nitrogen dioxide (NO2), PM2.5, and PM10 increase in the air and hospitalization of SLE patients with pooled RR of 1.021 (95% CI, 0,986-1.1.057), p-value = 0.249, 1.034 (95% CI, 0.996-1.068); p-value = 0.079, 1.042 (95% CI, 0.994-1.092); p-value = 0.084 and 1.004 (95% CI, 0.996-1.013); p-value = 0.323, respectively. Also, analysis showed a significant relation between ozone (O3) increase and hospitalization with a pooled RR of 1.076 (95% CI, 1.009-1.147); p-value = 0.025. Finally, analysis of SO2 increase and risk of hospitalization demonstrated no significant relationship with the pooled RR of 1.011; (95% CI, 0.962-1.062), p-value = 0.0.671. CONCLUSION Our findings prove that PM2.5 was associated with increased SLE risk. We also showed that only O3 was associated with increased hospital admissions of SLE patients.
Collapse
Affiliation(s)
- Arash Akhavan Rezayat
- Health Policy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.,Student Research Committee, 37552Mashhad University of Medical Sciences, Mashhad, Iran
| | - Niloufar Jafari
- Student Research Committee, 37552Mashhad University of Medical Sciences, Mashhad, Iran
| | | | | | - Niloofar Hooshmand
- Student research committee, 68106Islamic Azad University, Mashhad Branch, Mashhad, Iran
| | - Mohammad Ghasemi Nour
- Student Research Committee, 37552Mashhad University of Medical Sciences, Mashhad, Iran
| | - Farhad Handjani
- Molecular Dermatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.,Department of Dermatology, University Hospitals Coventry & Warwickshire NHS Trust, 2708Coventry, UK
| | - Reza Tabrizi
- Non-communicable Diseases Research Center, 158767Fasa University of Medical Science, Fasa, Iran.,Clinical Research Development Unit, 158767Fasa University of Medical Science, Fasa, Iran.,USERN Office, Fasa University of Medical Sciences, Fasa, Iran
| |
Collapse
|
39
|
Hakkarainen H, Salo L, Mikkonen S, Saarikoski S, Aurela M, Teinilä K, Ihalainen M, Martikainen S, Marjanen P, Lepistö T, Kuittinen N, Saarnio K, Aakko-Saksa P, Pfeiffer TV, Timonen H, Rönkkö T, Jalava PI. Black carbon toxicity dependence on particle coating: Measurements with a novel cell exposure method. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 838:156543. [PMID: 35679919 DOI: 10.1016/j.scitotenv.2022.156543] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 06/03/2022] [Accepted: 06/03/2022] [Indexed: 06/15/2023]
Abstract
Black carbon (BC) is a component of ambient particulate matter which originates from incomplete combustion emissions. BC is regarded as an important short-lived climate forcer, and a significant public health hazard. These two concerns have made BC a focus in aerosol science. Even though, the toxicity of BC particles is well recognized, the mechanism of toxicity for BC as a part of the total gas and particle emission mixture from combustion is still largely unknown and studies concerning it are scarce. In the present study, using a novel thermophoresis-based air-liquid interface (ALI) in vitro exposure system, we studied the toxicity of combustion-generated aerosols containing high levels of BC, diluted to atmospheric levels (1 to 10 μg/m3). Applying multiple different aerosol treatments, we simulated different sources and atmospheric aging processes, and utilizing several toxicological endpoints, we thoroughly examined emission toxicity. Our results revealed that an organic coating on the BC particles increased the toxicity, which was seen as larger genotoxicity and immunosuppression. Furthermore, aging of the aerosol also increased its toxicity. A deeper statistical analysis of the results supported our initial conclusions and additionally revealed that toxicity increased with decreasing particle size. These findings regarding BC toxicity can be applied to support policies and technologies to reduce the most hazardous compositions of BC emissions. Additionally, our study showed that the thermophoretic ALI system is both a suitable and useful tool for toxicological studies of emission aerosols.
Collapse
Affiliation(s)
- Henri Hakkarainen
- Inhalation Toxicology Laboratory, Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland.
| | - Laura Salo
- Aerosol Physics Laboratory, Physics Unit, Tampere University, P.O. Box 692, 33014 Tampere, Finland
| | - Santtu Mikkonen
- Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland; Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
| | - Sanna Saarikoski
- Atmospheric Composition Research, Finnish Meteorological Institute, P.O. Box 503, Helsinki 00101, Finland
| | - Minna Aurela
- Atmospheric Composition Research, Finnish Meteorological Institute, P.O. Box 503, Helsinki 00101, Finland
| | - Kimmo Teinilä
- Atmospheric Composition Research, Finnish Meteorological Institute, P.O. Box 503, Helsinki 00101, Finland
| | - Mika Ihalainen
- Inhalation Toxicology Laboratory, Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
| | - Sampsa Martikainen
- Aerosol Physics Laboratory, Physics Unit, Tampere University, P.O. Box 692, 33014 Tampere, Finland
| | - Petteri Marjanen
- Aerosol Physics Laboratory, Physics Unit, Tampere University, P.O. Box 692, 33014 Tampere, Finland
| | - Teemu Lepistö
- Aerosol Physics Laboratory, Physics Unit, Tampere University, P.O. Box 692, 33014 Tampere, Finland
| | - Niina Kuittinen
- Aerosol Physics Laboratory, Physics Unit, Tampere University, P.O. Box 692, 33014 Tampere, Finland
| | - Karri Saarnio
- Atmospheric Composition Research, Finnish Meteorological Institute, P.O. Box 503, Helsinki 00101, Finland
| | - Päivi Aakko-Saksa
- VTT Technical Research Centre of Finland, P.O. Box 1000, 02044 VTT Espoo, Finland
| | - Tobias V Pfeiffer
- VSParticle B.V., Molengraaffsingel 10, 2629 JD Delft, the Netherlands
| | - Hilkka Timonen
- Atmospheric Composition Research, Finnish Meteorological Institute, P.O. Box 503, Helsinki 00101, Finland
| | - Topi Rönkkö
- Aerosol Physics Laboratory, Physics Unit, Tampere University, P.O. Box 692, 33014 Tampere, Finland
| | - Pasi I Jalava
- Inhalation Toxicology Laboratory, Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
| |
Collapse
|
40
|
The mediating role of the gut microbiome in the association between ambient air pollution and autistic traits. Int J Hyg Environ Health 2022; 246:114047. [DOI: 10.1016/j.ijheh.2022.114047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 11/05/2022]
|
41
|
Manik S, Mandal M, Pal S. Impact of air pollutants on COVID-19 transmission: a study over different metropolitan cities in India. ENVIRONMENT, DEVELOPMENT AND SUSTAINABILITY 2022; 25:1-13. [PMID: 35975212 PMCID: PMC9371967 DOI: 10.1007/s10668-022-02593-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 07/22/2022] [Indexed: 05/16/2023]
Abstract
India is affected strongly by the Coronavirus and within a short period, it becomes the second-highest country based on the infected case. Earlier, there was an indication of the impact of pollution on COVID-19 transmission from a few studies with early COVID-19 data. The study of the effect of pollution on COVID-19 in Indian metropolitan cities is ideal due to the high level of pollution and COVID-19 transmission in these cities. We study the impact of different air pollutants on the spread of coronavirus in different cities in India. A correlation is studied with daily confirmed COVID-19 cases with a daily mean of ozone, particle matter (PM) in size ≤ 10 μ m, carbon monoxide, sulfur dioxide, and nitrogen dioxide of different cities. It is found that particulate matter concentration decreases during the nationwide lockdown period and the air quality index improves for different Indian regions. A correlation between the daily confirmed cases with particulate matter (PM2.5 and PM10 both) is observed. The air quality index also shows a positive correlation with the daily confirmed cases for most of the metropolitan Indian cities. The correlation study also indicates that different air pollutants may have a role in the spread of the virus.
Collapse
Affiliation(s)
- Souvik Manik
- Midnapore City college, Kuturia, Bhadutala, Paschim Medinipur, West Bengal 721129 India
| | - Manoj Mandal
- Midnapore City college, Kuturia, Bhadutala, Paschim Medinipur, West Bengal 721129 India
| | - Sabyasachi Pal
- Midnapore City college, Kuturia, Bhadutala, Paschim Medinipur, West Bengal 721129 India
| |
Collapse
|
42
|
Zhang Y, Yin Z, Zhou P, Zhang L, Zhao Z, Norbäck D, Zhang X, Lu C, Yu W, Wang T, Zheng X, Zhang L, Zhang Y. Early-life exposure to PM 2.5 constituents and childhood asthma and wheezing: Findings from China, Children, Homes, Health study. ENVIRONMENT INTERNATIONAL 2022; 165:107297. [PMID: 35709580 DOI: 10.1016/j.envint.2022.107297] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 04/22/2022] [Accepted: 05/10/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Emerging evidence suggests that early-life (in-utero and first-year since birth) exposure to ambient PM2.5 is a risk factor for asthma onset and exacerbation among children, while the hazards caused by PM2.5 compositions remain largely unknown. OBJECTIVE To examine potential associations of early-life exposures to PM2.5 mass and its major chemical constituents with childhood asthma and wheezing. METHODS By conducting the Phase II of the China, Children, Homes, Health study, we investigated 30,325 preschool children aged 3-6 years during 2019-2020 in mainland China. Early-life exposure to PM2.5 mass and its constituents (i.e., black carbon [BC], organic matter [OM], nitrate, ammonium, sulfate) were calculated based on monthly estimates at a 1 km × 1 km resolution from satellite-based models. We adopted a novel quantile-based g-computation approach to assess the effect of a mixture of PM2.5 constituents on childhood asthma/wheezing. RESULTS The average PM2.5 concentrations during in-utero and the first year since birth were 64.7 ± 10.6 and 61.8 ± 10.5 µg/m3, respectively. Early-life exposures to a mixture of major PM2.5 constituents were significantly associated with increased risks of asthma and wheezing, while no evident compositions-wheezing associations were found in the first year. Each quintile increases in all five PM2.5 components exposures in utero was accordingly associated with an odds ratio of 1.18 [95% confidence interval: 1.07-1.29] for asthma and 1.08 [1.01-1.16] for wheezing. BC, OM and SO42- contributed more to risks of asthma and wheezing than the other PM2.5 constituents during early life, wherein the effects of BC were only observed during pregnancy. Sex subgroup analyses suggested stronger associations among girls of first-year exposures to PM2.5 components with childhood asthma. CONCLUSION Early-life exposures to ambient PM2.5, particularly compositions of BC, OM and SO42-, are associated with an increased risk of childhood asthma.
Collapse
Affiliation(s)
- Yuanyuan Zhang
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Zhouxin Yin
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Peixuan Zhou
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Liansheng Zhang
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China
| | - Zhuohui Zhao
- School of Public Health, Fudan University, Shanghai, China
| | - Dan Norbäck
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Xin Zhang
- Research Centre for Environmental Science and Engineering, Shanxi University, Taiyuan, China
| | - Chan Lu
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Wei Yu
- School of Civil Engineering, Chongqing University, Chongqing, China
| | - Tingting Wang
- Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Xiaohong Zheng
- School of Energy and Environment, Southeast University, Nanjing, China
| | - Ling Zhang
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China.
| | - Yunquan Zhang
- School of Public Health, Wuhan University of Science and Technology, Wuhan, China; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China.
| |
Collapse
|
43
|
Dos Santos NV, Vieira CLZ, Saldiva PHN, De André CDS, Mazzilli BP, de Fátima Andrade M, Saueia CH, Saiki M, Veras MM, Koutrakis P. Accumulation of trace element content in the lungs of Sao Paulo city residents and its correlation to lifetime exposure to air pollution. Sci Rep 2022; 12:11083. [PMID: 35773451 PMCID: PMC9247064 DOI: 10.1038/s41598-022-15048-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 03/11/2022] [Indexed: 12/04/2022] Open
Abstract
Heavy metals are natural and essential elements of the environment and living beings, produced from natural (e.g. volcanic activity and cosmic ray-induced spallation) and anthropogenic processes (e.g. industrial and fossil fuel combustion). High-concentrations of heavy metals and radionuclides are also originated from anthropogenic activities in urban and industrial areas. In this preliminary study, we analyzed the levels of heavy metals and Polonium-210 (210Po) in lung tissues in autopsies from residents of the city of Sao Paulo, SP, Brazil. In order to identify the link among sources of the heavy metals in lungs, factor analysis was performed. Of the first four factors, which explain 66% of the total variability, three were associated with vehicular sources. The fitting of a regression model with 210Po as the response variable and with the four factors as explanatory variables, controlling for age, sex and tobacco, showed a significant association between the concentration of polonium and the first factor that is generated by catalysts and brakes (coefficient = 0.90, standard error = 0.33, p = 0.016). Our findings suggest an association between traffic-related trace metals and 210Po in lung autopsies.
Collapse
Affiliation(s)
- Nathália Villa Dos Santos
- Laboratory of Environmental and Experimental Pathology LIM05, Department of Pathology, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil. .,Department of Environmental Health School of Public Health, University of São Paulo, Brazil, Av. Dr. Arnaldo, 715, São Paulo, Brazil.
| | | | - Paulo Hilario Nascimento Saldiva
- Laboratory of Environmental and Experimental Pathology LIM05, Department of Pathology, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil
| | | | | | - Maria de Fátima Andrade
- Atmospheric Sciences Department, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, Brazil
| | | | - Mitiko Saiki
- Nuclear and Energy Research Institute, IPEN-CNEN, São Paulo, SP, Brazil
| | - Mariana Matera Veras
- Laboratory of Environmental and Experimental Pathology LIM05, Department of Pathology, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| |
Collapse
|
44
|
Lee E, Ahn H, Park S, Kim G, Kim H, Noh MG, Kim Y, Yeon JS, Park H. Staphylococcus epidermidis WF2R11 Suppresses PM 2.5-Mediated Activation of the Aryl Hydrocarbon Receptor in HaCaT Keratinocytes. Probiotics Antimicrob Proteins 2022; 14:915-933. [PMID: 35727505 PMCID: PMC9474527 DOI: 10.1007/s12602-022-09922-8] [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] [Accepted: 01/21/2022] [Indexed: 11/09/2022]
Abstract
The skin supports a diverse microbiome whose imbalance is related to skin inflammation and diseases. Exposure to fine particulate matter (PM2.5), a major air pollutant, can adversely affect the skin microbiota equilibrium. In this study, the effect and mechanism of PM2.5 exposure in HaCaT keratinocytes were investigated. PM2.5 stimulated the aryl hydrocarbon receptor (AhR) to produce reactive oxygen species (ROS) in HaCaT cells, leading to mitochondrial dysfunction and intrinsic mitochondrial apoptosis. We observed that the culture medium derived from a particular skin microbe, Staphylococcus epidermidis WF2R11, remarkably reduced oxidative stress in HaCaT cells caused by PM2.5-mediated activation of the AhR pathway. Staphylococcus epidermidis WF2R11 also exhibited inhibition of ROS-induced inflammatory cytokine secretion. Herein, we demonstrated that S. epidermidis WF2R11 could act as a suppressor of AhRs, affect cell proliferation, and inhibit apoptosis. Our results highlight the importance of the clinical application of skin microbiome interventions in the treatment of inflammatory skin diseases.
Collapse
Affiliation(s)
- Eulgi Lee
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Hyeok Ahn
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Shinyoung Park
- Genome and Company, Pangyo-ro 253, Bundang-gu, Seoungnam-si, Gyeonggi-do, 13486, Republic of Korea
| | - Gihyeon Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Hyun Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Myung-Giun Noh
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Yunjae Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea
| | - Jae-Sung Yeon
- Genome and Company, Pangyo-ro 253, Bundang-gu, Seoungnam-si, Gyeonggi-do, 13486, Republic of Korea
| | - Hansoo Park
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea. .,Genome and Company, Pangyo-ro 253, Bundang-gu, Seoungnam-si, Gyeonggi-do, 13486, Republic of Korea.
| |
Collapse
|
45
|
Heritage Building Preservation in the Process of Sustainable Urban Development: The Case of Brasov Medieval City, Romania. SUSTAINABILITY 2022. [DOI: 10.3390/su14126959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
This paper aims to present a comprehensive review of the literature on the definition and development of the concepts of heritage and sustainability. The harmful effects of various pollutants on the materials widely used in the construction of monuments/buildings, which are part of the national and international cultural heritage, are also highlighted. In addition, the paper draws attention to modern techniques for investigating the composition and diagnosis of the alteration of buildings materials with the focus on stone, limestone, and mortars/concrete. The present research also emphasizes that in the case of heritage buildings, different skills are needed not only related to heritage conservation and rehabilitation, but also skills related to heritage planning processes, and to sustainable constructions. For exemplification, the manuscript proposes specific conservation principles based on the case of Brasov city, located in the heart of Romania and being par excellence a medieval town with representative buildings for that period.
Collapse
|
46
|
Michikawa T, Sasaki J, Yamazaki S, Takami A, Asakura K, Imamura H, Ueda K, Saito S, Hoshi J, Yoshino A, Sugata S, Nitta H, Nishiwaki Y. A Case-Crossover Analysis of the Association between Exposure to Total PM 2.5 and Its Chemical Components and Emergency Ambulance Dispatches in Tokyo. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:7319-7327. [PMID: 35608996 DOI: 10.1021/acs.est.1c08219] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
A limited number of studies have investigated the association between short-term exposure to PM2.5 components and morbidity. The present case-crossover study explored the association between exposure to total PM2.5 and its components and emergency ambulance dispatches, which is one of the indicators of morbidity, in the 23 Tokyo wards. Between 2016 and 2018 (mean mass concentrations of total PM2.5 13.5 μg/m3), we obtained data, from the Tokyo Fire Department, on the daily cases of ambulance dispatches. Fine particles were collected at a fixed monitoring site and were analyzed to estimate the daily mean concentrations of carbons and ions. We analyzed 1038301 cases of health-based all-cause ambulance dispatches by using a conditional logistic regression model. The average concentrations of total PM2.5 over one and the previous day were positively associated with the number of ambulance dispatches. In terms of PM2.5 components, the percentage increase per interquartile range (IQR) increase was 0.8% for elemental carbon (IQR = 0.8 μg/m3; 95% CI = 0.3-1.3%), 0.9% for sulfate (2.1 μg/m3; 0.5-1.4%), and 1.1% for ammonium (1.3 μg/m3; 0.4-1.8%) in the PM2.5-adjusted models. This is the first study to find an association between some specific components in PM2.5 and ambulance dispatches.
Collapse
Affiliation(s)
- Takehiro Michikawa
- Department of Environmental and Occupational Health, School of Medicine, Toho University, 5-21-16 Omori-nishi, Ota-ku, Tokyo143-8540, Japan
- Health and Environmental Risk Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
| | - Junichi Sasaki
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo160-8582, Japan
| | - Shin Yamazaki
- Health and Environmental Risk Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
| | - Akinori Takami
- Regional Environment Conservation Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
| | - Keiko Asakura
- Department of Environmental and Occupational Health, School of Medicine, Toho University, 5-21-16 Omori-nishi, Ota-ku, Tokyo143-8540, Japan
| | - Haruhiko Imamura
- Department of Environmental and Occupational Health, School of Medicine, Toho University, 5-21-16 Omori-nishi, Ota-ku, Tokyo143-8540, Japan
| | - Kayo Ueda
- Department of Hygiene, Graduate School of Medicine, Hokkaido University, Kita 15, Nishi 7, Kita-ku, Sapporo 060-8638, Japan
- Environmental Health Sciences, Kyoto University Graduate School of Global Environmental Studies, Kyoto Daigaku Katsura, Nishikyo-ku, Kyoto 615-8540, Japan
| | - Shinji Saito
- Tokyo Metropolitan Research Institute for Environmental Protection, 1-7-5 Shinsuna, Koto-ku, Tokyo136-0075, Japan
| | - Junya Hoshi
- Tokyo Metropolitan Research Institute for Environmental Protection, 1-7-5 Shinsuna, Koto-ku, Tokyo136-0075, Japan
| | - Ayako Yoshino
- Regional Environment Conservation Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
| | - Seiji Sugata
- Regional Environment Conservation Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
| | - Hiroshi Nitta
- Health and Environmental Risk Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
| | - Yuji Nishiwaki
- Department of Environmental and Occupational Health, School of Medicine, Toho University, 5-21-16 Omori-nishi, Ota-ku, Tokyo143-8540, Japan
| |
Collapse
|
47
|
Keulers L, Dehghani A, Knippels L, Garssen J, Papadopoulos N, Folkerts G, Braber S, van Bergenhenegouwen J. Probiotics, prebiotics, and synbiotics to prevent or combat air pollution consequences: The gut-lung axis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 302:119066. [PMID: 35240267 DOI: 10.1016/j.envpol.2022.119066] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 02/24/2022] [Accepted: 02/25/2022] [Indexed: 05/26/2023]
Abstract
Air pollution exposure is a public health emergency, which attributes globally to an estimated seven million deaths on a yearly basis We are all exposed to air pollutants, varying from ambient air pollution hanging over cities to dust inside the home. It is a mixture of airborne particulate matter and gases that can be subdivided into three categories based on particle diameter. The smallest category called PM0.1 is the most abundant. A fraction of the particles included in this category might enter the blood stream spreading to other parts of the body. As air pollutants can enter the body via the lungs and gut, growing evidence links its exposure to gastrointestinal and respiratory impairments and diseases, like asthma, rhinitis, respiratory tract infections, Crohn's disease, ulcerative colitis, and abdominal pain. It has become evident that there exists a crosstalk between the respiratory and gastrointestinal tracts, commonly referred to as the gut-lung axis. Via microbial secretions, metabolites, immune mediators and lipid profiles, these two separate organ systems can influence each other. Well-known immunomodulators and gut health stimulators are probiotics, prebiotics, together called synbiotics. They might combat air pollution-induced systemic inflammation and oxidative stress by optimizing the microbiota composition and microbial metabolites, thereby stimulating anti-inflammatory pathways and strengthening mucosal and epithelial barriers. Although clinical studies investigating the role of probiotics, prebiotics, and synbiotics in an air pollution setting are lacking, these interventions show promising health promoting effects by affecting the gastrointestinal- and respiratory tract. This review summarizes the current data on how air pollution can affect the gut-lung axis and might impact gut and lung health. It will further elaborate on the potential role of probiotics, prebiotics and synbiotics on the gut-lung axis, and gut and lung health.
Collapse
Affiliation(s)
- Loret Keulers
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands; Danone Nutricia Research, Uppsalalaan 12, 3584, CT, Utrecht, the Netherlands.
| | - Ali Dehghani
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands
| | - Leon Knippels
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands; Danone Nutricia Research, Uppsalalaan 12, 3584, CT, Utrecht, the Netherlands
| | - Johan Garssen
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands; Danone Nutricia Research, Uppsalalaan 12, 3584, CT, Utrecht, the Netherlands
| | - Nikolaos Papadopoulos
- Centre for Paediatrics and Child Health, Institute of Human Development, University of Manchester, Oxford Road M13 9PL, Manchester, United Kingdom
| | - Gert Folkerts
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands
| | - Saskia Braber
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands
| | - Jeroen van Bergenhenegouwen
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands; Danone Nutricia Research, Uppsalalaan 12, 3584, CT, Utrecht, the Netherlands
| |
Collapse
|
48
|
Montrose L, Walker ES, Toevs S, Noonan CW. Outdoor and indoor fine particulate matter at skilled nursing facilities in the western United States during wildfire and non-wildfire seasons. INDOOR AIR 2022; 32:e13060. [PMID: 35762245 PMCID: PMC9835102 DOI: 10.1111/ina.13060] [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: 01/19/2022] [Revised: 04/27/2022] [Accepted: 05/19/2022] [Indexed: 06/03/2023]
Abstract
Wildfire activity is increasing in parts of the world where extreme drought and warming temperatures contribute to fireprone conditions, including the western United States. The elderly are among the most vulnerable, and those in long-term care with preexisting conditions have added risk for adverse health outcomes from wildfire smoke exposure. In this study, we report continuous co-located indoor and outdoor fine particulate matter (PM2.5 ) measurements at four skilled nursing facilities in the western United States. Throughout the year 2020, over 8000 h of data were collected, which amounted to approximately 300 days of indoor and outdoor sampling at each facility. The highest indoor 24 h average PM2.5 recorded at each facility was 43.6 µg/m3 , 103.2 µg/m3 , 35.4 µg/m3 , and 202.5 µg/m3 , and these peaks occurred during the wildfire season. The indoor-to-outdoor PM2.5 ratio and calculated infiltration efficiencies indicated high variation in the impact of wildfire events on Indoor Air Quality between the four facilities. Notably, infiltration efficiency ranged from 0.22 to 0.76 across the four facilities. We propose that this variability is evidence that PM2.5 infiltration may be impacted by modifiable building characteristics and human behavioral factors, and this should be addressed in future studies.
Collapse
Affiliation(s)
- Luke Montrose
- Department of Public Health and Population Science, Boise State University, Boise, Idaho, USA
| | - Ethan S. Walker
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA
| | - Sarah Toevs
- Department of Public Health and Population Science, Boise State University, Boise, Idaho, USA
| | - Curtis W. Noonan
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA
| |
Collapse
|
49
|
Huang R, Li Z, Ivey CE, Zhai X, Shi G, Mulholland JA, Devlin R, Russell AG. Application of an Improved Gas-constrained Source Apportionment Method Using Data Fused Fields: a Case Study in North Carolina, USA. ATMOSPHERIC ENVIRONMENT (OXFORD, ENGLAND : 1994) 2022; 276:119031. [PMID: 35814352 PMCID: PMC9262331 DOI: 10.1016/j.atmosenv.2022.119031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
A number of studies have found differing associations of disease outcomes with PM2.5 components (or species) and sources (e.g., biomass burning, diesel vehicles and gasoline vehicles). Here, a unique method of fusing daily chemical transport model (Community Multiscale Air Quality Modeling) results with observations has been utilized to generate spatiotemporal fields of the concentrations of major gaseous pollutants (CO, NO2, NOx, O3, and SO2), total PM2.5 mass, and speciated PM2.5 (including crustal elements) over North Carolina for 2002-2010. The fused results are then used in chemical mass balance source apportionment model, CMBGC-Iteration, which uses both gas constraint and particulate matter concentrations to quantify source impacts. The method, as applied to North Carolina, quantifies the impacts of ten source categories and provides estimates of source contributions to PM2.5 concentrations. The ten source categories include both primary sources (diesel vehicles, gasoline vehicles, dust, biomass burning, coal-fired power plants and sea salt) and secondary components (ammonium sulfate, ammonium bisulfate, ammonium nitrate and secondary organic carbon). The results show a steady decrease in anthropogenic source impacts, especially from diesel vehicles and coal-fired power plants. Secondary pollutant components accounted for approximately 70% of PM2.5 mass. This study demonstrates an ability to provide spatiotemporal fields of both PM components and source impacts using a chemical transport model fused with observation data, linked to a receptor-based source apportionment method, to develop spatiotemporal fields of multiple pollutants.
Collapse
Affiliation(s)
- Ran Huang
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Zongrun Li
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Cesunica E. Ivey
- Department of Chemical and Environmental Engineering, University of California Riverside, Riverside, California, USA
| | - Xinxin Zhai
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Guoliang Shi
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, China
| | - James A. Mulholland
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Robert Devlin
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - Armistead G. Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA
- Correspondence:
| |
Collapse
|
50
|
Cheliotis KS, Jewell CP, Solórzano C, Urban B, Collins AM, Mitsi E, Pojar S, Nikolaou E, German EL, Reiné J, Gordon SB, Jochems SP, Rylance J, Ferreira DM. Influence of sex, season and environmental air quality on experimental human pneumococcal carriage acquisition: a retrospective cohort analysis. ERJ Open Res 2022; 8:00586-2021. [PMID: 35415189 PMCID: PMC8995542 DOI: 10.1183/23120541.00586-2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 03/04/2022] [Indexed: 11/17/2022] Open
Abstract
Streptococcus pneumoniae (pneumococcus) is the most commonly identified bacterial cause of pneumonia and the leading infectious cause of death in children under 5 years of age worldwide. Pneumococcal disease follows a seasonal pattern with increased incidence during winter. Pneumonia burden is also associated with poor air quality. Nasopharyngeal carriage of the bacterium is a pre-requisite of invasive disease. We aimed to determine if susceptibility to nasopharyngeal pneumococcal carriage varied by season and which environmental factors might explain such variation. We also evaluated the influence of sex on susceptibility of carriage. We collated data from five studies in which human volunteers underwent intranasal pneumococcal challenge. Generalised linear mixed-effects models were used to identify factors associated with altered risk of carriage acquisition, specifically climate and air-quality data. During 2011-2017, 374 healthy adults were challenged with type 6B pneumococcus. Odds of carriage were significantly lower in males (OR, 0.61; 95% CI, 0.40-0.92; p=0.02), and higher with cooler temperatures (OR, 0.79; 95% CI, 0.63-0.99; p=0.04). Likelihood of carriage was also associated with lower concentrations of local fine particulate matter concentrations (PM2.5) and increased local rainfall. In contrast to epidemiological series, experimental challenge allowed us to test propensity to acquisition during controlled exposures; immunological explanations for sex and climatic differences should be sought.
Collapse
Affiliation(s)
| | | | - Carla Solórzano
- Dept of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Britta Urban
- Dept of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Andrea M. Collins
- Dept of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Elena Mitsi
- Dept of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Sherin Pojar
- Dept of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Elissavet Nikolaou
- Dept of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Esther L. German
- Dept of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Jesús Reiné
- Dept of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Stephen B. Gordon
- Dept of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
| | - Simon P. Jochems
- Dept of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Jamie Rylance
- Dept of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Daniela M. Ferreira
- Dept of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| |
Collapse
|