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He G, Wang Y, Cheng C, Guo J, Lin Z, Liang Z, Jin B, Tao L, Rong L, Chen L, Lin T, Hua Y, Park S, Mo Y, Li J, Jiang X. PM 2.5 constituents associated with mortality and kidney failure in childhood-onset lupus nephritis: A 19-year cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 949:175333. [PMID: 39111418 DOI: 10.1016/j.scitotenv.2024.175333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 07/22/2024] [Accepted: 08/04/2024] [Indexed: 08/17/2024]
Abstract
BACKGROUND Childhood-onset lupus nephritis (cLN) is a severe form of systemic lupus erythematosus (SLE) with high morbidity and mortality. The impact of long-term exposure to fine particulate matter (PM2.5) on adverse outcomes in cLN remains unclear. METHODS We combined a 19-years cLN cohort from seven provinces in China with high-resolution PM2.5 dataset from 2001 to 2020, investigating the association between long-term exposure to PM2.5 and its constituents (sulfate, nitrate, organic matter, black carbon, ammonium) with the risk of death and kidney failure, analyzed with multiple variables Cox models. We also evaluated the association between 3-year average PM2.5 exposure before study entry and baseline SLE disease activity index (SLEDAI) scores using linear regression models. RESULTS Each 10 μg/m3 increase in annual average PM2.5 exposure was associated with an increased risk of death and kidney failure (HR = 1.58, 95 % CI: 1.24-2.02). Black carbon showed the strongest association (HR = 2.14, 95 % CI: 1.47-3.12). Higher 3-year average exposures to PM2.5 and its constituents were significantly associated with higher baseline SLEDAI scores. CONCLUSIONS These findings highlight the significant role of environmental pollutants in cLN progression and emphasize the need for strategies to mitigate exposure to harmful PM2.5 constituents, particularly in vulnerable pediatric populations.
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Affiliation(s)
- Guohua He
- Department of Pediatric Nephrology and Rheumatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Yaqi Wang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Cheng Cheng
- Department of Pediatric Nephrology and Rheumatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Jianhui Guo
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Zhilang Lin
- Department of Pediatric Nephrology and Rheumatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Ziyun Liang
- The First Clinical School of Medicine, Southern Medical University, Guangzhou 510091, China
| | - Bei Jin
- Department of Pediatric Nephrology and Rheumatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Liyuan Tao
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing 100191, China
| | - Liping Rong
- Department of Pediatric Nephrology and Rheumatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Lizhi Chen
- Department of Pediatric Nephrology and Rheumatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Tianxin Lin
- Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China; Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China; Guangdong Provincial Clinical Research Centre for Urological Diseases, Guangzhou 510120, China
| | - Yining Hua
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, Boston, MA 02115, USA
| | - Seungkyo Park
- Division of Integrated Medicine, Department of Internal Medicine, College of Medicine, Yonsei University, Seoul 03722, Republic of Korea
| | - Ying Mo
- Department of Pediatric Nephrology and Rheumatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Jing Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China.
| | - Xiaoyun Jiang
- Department of Pediatric Nephrology and Rheumatology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
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Liu J, Wang P, Shang L, Ye F, Liu L, He Z. Adverse Associations of Long-Term Exposure to PM 2.5 and Its Components with Platelet Traits among Subway Shift-Workers without Air Purifier Use. TOXICS 2024; 12:529. [PMID: 39195631 PMCID: PMC11359941 DOI: 10.3390/toxics12080529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 07/09/2024] [Accepted: 07/11/2024] [Indexed: 08/29/2024]
Abstract
Air purifier use, shift work, and long-term exposure to fine particulate matter (PM2.5) are linked to platelet abnormality. However, the role of air purifier use and shift work in the individual or joint associations of PM2.5 and its components with platelet indices are largely unknown. A total of 8772 participants were recruited from a population of subway workers in China. PM2.5 and its component data were obtained from the Tracking Air Pollution in China dataset. The role of air purifier use and shift work in the association between PM2.5 and its components and platelet indices were analyzed. Among shift workers without air purifier use, positive associations of PM2.5 and each component in PM2.5 with the mean platelet volume (MPV) or platelet counts (PLT) were observed, whereas negative associations of PM2.5 and each component in PM2.5 with the platelet distribution width (PDW) were observed. Furthermore, estimated changes (95%CIs) in PLT, MPV, and PDW in response to each 10th percentile increment in the mixture of PM2.5 and its components were 0.8657 (0.2496, 1.4819), 0.0192 (0.0054, 0.0329), and -0.0648 (-0.0945, -0.0351), respectively, and sulfate in PM2.5 was the major contributor to those associations. Long-term exposure to PM2.5 and its components was related to increased platelet disorders among shift workers without air purifier use, and those associations were mainly attributed to sulfate in PM2.5.
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Affiliation(s)
- Junling Liu
- Wuhan Center for Disease Control and Prevention, Wuhan 430024, China; (J.L.); (P.W.); (L.S.)
| | - Pei Wang
- Wuhan Center for Disease Control and Prevention, Wuhan 430024, China; (J.L.); (P.W.); (L.S.)
| | - Lv Shang
- Wuhan Center for Disease Control and Prevention, Wuhan 430024, China; (J.L.); (P.W.); (L.S.)
| | - Fang Ye
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; (F.Y.); (L.L.)
| | - Li Liu
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; (F.Y.); (L.L.)
| | - Zhenyu He
- Wuhan Center for Disease Control and Prevention, Wuhan 430024, China; (J.L.); (P.W.); (L.S.)
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Li X, Wu Y, Li G, Shen W, Xiao W, Liu J, Hu W, Lu H, Huang F. The combined effects of exposure to multiple PM 2.5 components on overweight and obesity in middle-aged and older adults: a nationwide cohort study from 125 cities in China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:8749-8760. [PMID: 37726540 DOI: 10.1007/s10653-023-01741-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 08/21/2023] [Indexed: 09/21/2023]
Abstract
The prevalence of overweight or obesity increased rapidly over the past decades in most countries, including China. However, little evidence exists about the effects of long-term exposure to PM2.5 components on overweight or obesity, particularly in developing countries. We measured different weight stages according to body mass index (BMI), and investigated the effects of exposure to PM2.5 components (ammonium [[Formula: see text]], sulfate [[Formula: see text]], nitrate [[Formula: see text]], black carbon and organic matter) on different BMI levels in middle-aged and elderly people of China. Our study explored the effects of single and multiple air pollution exposures on overweight and obesity by using the Generalized Linear Model and Quantile g-Computation model (QgC). This study found a significantly positive association between five PM2.5 components and overweight/obesity. In the QgC model, there was still a positive association between multiple exposure to PM2.5 components and overweight when all PM2.5 components were considered as a whole. In addition, males, the elderly, and urban residents were also more sensitive to five PM2.5 components.
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Affiliation(s)
- Xue Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Yueyang Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Guoao Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Wenbin Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Wei Xiao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Jianjun Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Wenlei Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Huanhuan Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China
| | - Fen Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Shushan District, Hefei, 230032, Anhui, China.
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Qiu T, Zang T, Fang Q, Xu Z, Cao Y, Fan X, Liu J, Zeng X, Li Y, Tu Y, Li G, Bai J, Huang J, Liu Y. Cumulative and lagged effects of varying-sized particulate matter exposure associates with toddlers' gut microbiota. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 336:122389. [PMID: 37595737 DOI: 10.1016/j.envpol.2023.122389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/30/2023] [Accepted: 08/14/2023] [Indexed: 08/20/2023]
Abstract
Particulate matter (PM) is an important component of air pollutants and is associated with various health risks. However, the impact of PM on toddlers' gut microbiota is rarely investigated. This study aimed to assess the cumulative and lagged effects of varying-sized PMs on toddlers' gut microbiota. We collected demographic information, stool samples, and exposure to PM from 36 toddlers aged 2-3 years. The toddlers were divided into warm season group and cooler season group according to the collection time of stool samples. The gut microbiota was processed and analyzed using 16S rRNA V3-V4 gene regions. The concentration of PM was calculated using China High Air Pollutants (CHAP) database. To assess the mixed effects of varying-sized PM, multiple-PM models were utilized. There were significant differences between the community composition, α- and β-diversity between two groups. In multiple-PM models, there was a significant effect of weight quantile sum (PM1, PM2.5, and PM10) on α-diversity indices. In weight quantile sum models, after adjusting for a priori confounders, we found a negative effect of weight quantile sum on Enterococcus (β = -0.134, 95% CI -0.263 to -0.006), positive effects of weight quantile sum on unclassified_f__Ruminococcaceae (β = 0.247, 95% CI 0.102 to 0.393), Ruminococcus_1 (β = 0.444, 95% CI 0.238 to 0.650), unclassified_f__Lachnospiraceae (β = 0.278, 95% CI 0.099 to 0.458), and Family_XIII_AD_3011_group (β = 0.254, 95% CI 0.086 to 0.422) in WSG and CSG. In lagged weight quantile sum models, the correlation between lag time PM levels and the gut microbiota showed seasonal trends, and weights of PM changed with lag periods. This is the first study to highlight that cumulative and lagged effects of PMs synergistically affect the diversities (α- and β-diversity) and abundance of the gut microbiota in toddlers. Further research is needed to explore the mediating mechanism of varying-sized PMs exposure on the gut microbiota in toddlers.
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Affiliation(s)
- Tianlai Qiu
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Tianzi Zang
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Qingbo Fang
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Zhihu Xu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, 100191, China
| | - Yanan Cao
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Xiaoxiao Fan
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Jun Liu
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Xueer Zeng
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Yanting Li
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Yiming Tu
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, 100191, China; Environmental Research Group, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Jinbing Bai
- Emory University Nell Hodgson Woodruff School of Nursing, 1520 Clifton Road, Atlanta, GA, 30322, USA
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, 100191, China
| | - Yanqun Liu
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan, 430071, China.
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5
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Zheng Y, He Y, Kang N, Zhang C, Liao W, Yuchi Y, Liu X, Hou J, Mao Z, Huo W, Zhang K, Tian H, Lin H, Wang C. Associations of Long-Term Exposure to PM 2.5 and Its Constituents with Erythrocytosis and Thrombocytosis in Rural Populations. TOXICS 2023; 11:885. [PMID: 37999537 PMCID: PMC10674504 DOI: 10.3390/toxics11110885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/21/2023] [Accepted: 10/24/2023] [Indexed: 11/25/2023]
Abstract
Evidence on the effect of long-term exposure to fine particulate matter (PM2.5) on erythrocytosis and thrombocytosis prevalence was limited. We aimed to investigate the association of PM2.5 and its constituents with the risks of erythrocytosis and thrombocytosis. The present study included a total of 33,585 participants from the Henan Rural Cohort at baseline between 2015 and 2017. A hybrid satellite-based model was employed to estimate the concentrations of PM2.5 mass and its constituents (including black carbon [BC], nitrate [NO3-], ammonium [NH4+], inorganic sulfate [SO42-], organic matter [OM], and soil particles [SOIL]). The logistic regression model was used to assess the associations of single exposure to PM2.5 and its constituents with the risks of erythrocytosis and thrombocytosis, and the quantile G-computation method was applied to evaluate their joint exposure risk. For the independent association, the odds ratios for erythrocytosis/thrombocytosis with 1 μg/m3 increase was 1.049/1.043 for PM2.5 mass, 1.596/1.610 for BC, 1.410/1.231 for NH4+, 1.205/1.139 for NO3-, 1.221/1.359 for OM, 1.300/1.143 for SO42-, and 1.197/1.313 for SOIL. Joint exposure to PM2.5 and its components was also positively associated with erythrocytosis and thrombocytosis. The estimated weight of NH4+ was found to be the largest for erythrocytosis, while OM had the largest weight for thrombocytosis. PM2.5 mass and its constituents were positively linked to prevalent erythrocytosis and thrombocytosis, both in single-exposure and joint-exposure models. Additionally, NH4+/OM was identified as a potentially responsible component for the association between PM2.5 and erythrocytosis/thrombocytosis.
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Affiliation(s)
- Yiquan Zheng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yaling He
- Department of Occupational and Environmental Health, Ministry of Education, Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Caiyun Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yinghao Yuchi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY 12222, USA
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Hualiang Lin
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
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Li P, Wu J, Ni X, Tong M, Lu H, Liu H, Xue T, Zhu T. Associations between hemoglobin levels and source-specific exposure to ambient fine particles among children aged <5 years in low- and middle-income countries. JOURNAL OF HAZARDOUS MATERIALS 2023; 459:132061. [PMID: 37467606 DOI: 10.1016/j.jhazmat.2023.132061] [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: 05/04/2023] [Revised: 06/14/2023] [Accepted: 07/12/2023] [Indexed: 07/21/2023]
Abstract
OBJECTIVE We investigated associations between source-specific fine particulate matter (PM2.5) exposure and hemoglobin levels among children in low- and middle-income countries (LMICs). METHOD 36,675 children aged < 5 years were collected in 11 LMICs during 2017. We associated child hemoglobin with 20 source-specific PM2.5, and calculated changes in hemoglobin that could be attributed to different PM2.5-mixture scenarios, established using real-world data from 88 Asian and African LMICs (AA-LMICs). RESULTS Multiple-source analysis revealed PM2.5 produced by solvents (change in hemoglobin for 1-μg/m3 increment in PM2.5: -10.34 g/L, 95% CI -14.88 to -5.91), industrial coal combustion (-0.51 g/L, 95% CI -9.25 to -0.08), road transportation (-0.50 g/L, 95% CI -6.96 to -0.29), or waste handling and disposal (-0.34 g/L, 95% CI -4.38 to -0.23) was significantly associated with a decrease in hemoglobin level. Decreases in hemoglobin attributable to the PM2.5 mixtures were co-determined by the concentrations and their source profiles. The largest PM2.5-related change in hemoglobin was -10.25 g/L (95% CI -15.54 to -5.27) for a mean exposure of 61.01 μg/m3 in India. CONCLUSION Association between PM2.5 and a decrease in hemoglobin was affected by variations in PM2.5 source profiles. Source-oriented interventions are warranted to protect children in LMICs from air pollution.
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Affiliation(s)
- Pengfei Li
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China; National Institute of Health Data Science, Peking University, Beijing 100191, China
| | - Jingyi Wu
- Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China
| | - Xueqiu Ni
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Mingkun Tong
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Hong Lu
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Hengyi Liu
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Tao Xue
- Institute of Reproductive and Child Health / National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics / Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China; State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China.
| | - Tong Zhu
- State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health, Peking University, Beijing, China; College of Environmental Sciences and Engineering, Peking University, Beijing, 100084, China
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7
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Tian J, Wang X, Shi H, Wu H, Wang C, Liu N, Guan L, Zhang Z. Sestrin2/Keap1/Nrf2 pathway regulates mucus hypersecretion in pulmonary epithelium induced by traffic-related PM 2.5 and water-soluble extracts. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 264:115455. [PMID: 37708689 DOI: 10.1016/j.ecoenv.2023.115455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 08/18/2023] [Accepted: 09/05/2023] [Indexed: 09/16/2023]
Abstract
The involvement of fine particulate matter (PM2.5) exposure in the progression of asthma has been extensively discussed in epidemiological and experimental evidence, which aroused widespread attention. Asthma is characterized by mucus hypersecretion. This study investigates the underlying toxic mechanism of traffic-related PM2.5 (TRPM2.5) and water-soluble extracts (WSE) on mucus hypersecretion in the lungs of rats with asthma and 16HBE cells. The ovalbumin-induced rats were administrated by instillation of TRPM2.5 and WSE in the trachea once three days for eight times. The results showed that TRPM2.5 and WSE had an adverse impact on mucus secretion. Specifically, conspicuous mucus stains and increased goblet cells in the bronchial epithelium by PAS staining were found in lung tissues of rats with asthma; MUC5AC gene and protein expression levels in lung tissues of rats with asthma and 16HBE cells were elevated. In addition, TRPM2.5 and WSE triggered oxidative damage via upregulation of malondialdehyde and myeloperoxidase as well as activation of the Sestrin2/Keap1/Nrf2 signaling pathway. Conversely, the knockdown of Sestrin2 effectively inhibited TRPM2.5 and WSE-induced mucus hypersecretion, oxidative stress, and Keap1/Nrf2 signaling pathway and its downstream target gene NQO1. Collectively, it was demonstrated that TRPM2.5 and WSE induced mucus hypersecretion mediated by the Sestrin2/Keap1/Nrf2 pathway.
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Affiliation(s)
- Jiayu Tian
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China
| | - Xin Wang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Yantai Center for Disease Control and Prevention, 264003 Yantai, Shandong, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China
| | - Hao Shi
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China
| | - Hongyan Wu
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China
| | - Caihong Wang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China
| | - Nannan Liu
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China
| | - Linlin Guan
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China
| | - Zhihong Zhang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, 030001 Taiyuan, Shanxi, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, China.
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He C, Xie L, Gu L, Yan H, Feng S, Zeng C, Danzhen W, Zhang X, Han M, Li Z, Duoji Z, Guo B, Zhang J, Hong F, Zhao X. Anemia is associated with long-term exposure to PM 2.5 and its components: a large population-based study in Southwest China. Ther Adv Hematol 2023; 14:20406207231189922. [PMID: 37654523 PMCID: PMC10467225 DOI: 10.1177/20406207231189922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 07/07/2023] [Indexed: 09/02/2023] Open
Abstract
Background Anemia is linked to PM2.5 (particulate matter with aerodynamic diameters of ⩽2.5 μm) exposure, which can increase the risk of various negative health outcomes. It remains unclear which PM2.5 components are associated with anemia and the respective contribution of each component to this association. Objective This study aimed at investigating the association between PM2.5 and anemia in the general population and to identify the most critical PM2.5 toxic components in this association. Design Cross-sectional study. Methods Our study involved a large cohort of 73,511 individuals aged 30-79 from China's multi-ethnic population. We employed satellite observations and the chemical transport model (GEOS-Chem)to estimate the long-term exposure to PM2.5 and its components. Anemia was defined, according to WHO guidelines, as Hb levels below 130 g/L for men and below 120 g/L for women. Through logistic regression, we investigated the association between PM2.5 components and anemia. By utilizing weighted quantile sum (WQS) analysis, we identified key components and gained insights into their combined impact on anemia. Overall, our study sheds light on the relationship between PM2.5 exposure, its constituents, and the risk of anemia in a large cohort. Results PM2.5 and three components, nitrate (NIT), organic matter (OM), and soil particles (SOIL), were associated with anemia. Per-standard deviation increase in the 3-year average concentrations of PM2.5 [odds ratio (OR): 1.14, 95% confidence interval (CI): 1.01, 1.28], NIT (1.20, 1.06, 1.35), OM (1.17, 1.04, 1.32), and SOIL (1.22, 1.11, 1.33) were associated with higher odds of anemia. In WQS regression analysis, the WQS index was associated with anemia (OR: 1.29, 95% CI: 1.13, 1.47). SOIL has the highest weight among all PM2.5 components. Conclusions Long-term exposure to PM2.5 and its constituents is associated with anemia. Moreover, SOIL might be the most critical component of the relationship between PM2.5 and anemia. Our research increases the evidence of the association between PM2.5 and anemia in the general population, and targeted emission control measures should be taken into consideration to mitigate the adverse effects of PM2.5-related anemia.
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Affiliation(s)
- Congyuan He
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Linshen Xie
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lingxi Gu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hongyu Yan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Shiyu Feng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chunmei Zeng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wangjiu Danzhen
- Tibet Center for Disease Control and Prevention CN, Lhasa, Tibet, China
| | - Xuehui Zhang
- School of Public Health, Kunming Medical University, Kunming, Yunnan, China
| | - Mingming Han
- Chengdu Center for Disease Control & Prevention, Chengdu, Sichuan, China
| | - Zhifeng Li
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | | | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Juying Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Road, Chengdu, Sichuan 610041, China
| | - Feng Hong
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, University Town, Guian New Area, Guiyang, Guizhou 550025, China
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Road, Chengdu, Sichuan 610041, China
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Kardan O, Sereeyothin C, Schertz KE, Angstadt M, Weigard AS, Berman MG, Heitzeg MM, Rosenberg MD. Neighborhood air pollution is negatively associated with neurocognitive maturation in early adolescence. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.28.538763. [PMID: 37205398 PMCID: PMC10187199 DOI: 10.1101/2023.04.28.538763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
The ability to maintain focus and process task-relevant information continues developing during adolescence, but the specific physical environmental factors that influence this development remain poorly characterized. One candidate factor is air pollution. Evidence suggests that small particulate matter and NO2 concentrations in the air may negatively impact cognitive development in childhood. We assessed the relationship between neighborhood air pollution and the changes in performance on the n-back task, a test of attention and working memory, in the Adolescent Brain Cognitive Development (ABCD) Study's baseline (ages 9-10) and two-year-follow-up releases (Y2, ages 11-12; n = 5,256). In the behavioral domain, multiple linear regression showed that developmental change in n-back task performance was negatively associated with neighborhood air pollution (β = -.044, t = -3.11, p = .002), adjusted for covariates capturing baseline cognitive performance of the child, their parental income and education, family conflicts, and their neighborhood's population density, crime rate, perceived safety, and Area Deprivation Index (ADI). The strength of the adjusted association for air pollution was similar to parental income, family conflict, and neighborhood ADI. In the neuroimaging domain, we evaluated a previously published youth cognitive composite Connectome-based Predictive Model (ccCPM), and again found that decreased developmental change in the strength of the ccCPM from pre- to early adolescence was associated with neighborhood air pollution (β = -.110, t = -2.69, p = .007), adjusted for the covariates mentioned above and head motion. Finally, we found that the developmental change in ccCPM strength was predictive of the developmental change in n-back performance (r = .157, p < .001), and there was an indirect-only mediation where the effect of air pollution on change in n-back performance was mediated by the change in the ccCPM strength (βindirect effect = -.013, p = .029). In conclusion, neighborhood air pollution is associated with lags in the maturation of youth cognitive performance and decreased strengthening of the brain networks supporting cognitive abilities over time.
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Affiliation(s)
- Omid Kardan
- University of Chicago, Department of Psychology, Chicago, IL
- University of Michigan, Department of Psychology, Ann Arbor, MI
- University of Michigan, Department of Psychiatry, Ann Arbor, MI
| | | | - Kathryn E Schertz
- University of Chicago, Department of Psychology, Chicago, IL
- University of Michigan, Department of Psychology, Ann Arbor, MI
| | - Mike Angstadt
- University of Michigan, Department of Psychiatry, Ann Arbor, MI
| | | | - Marc G Berman
- University of Chicago, Department of Psychology, Chicago, IL
- University of Chicago, Neuroscience Institute, Chicago, IL
| | - Mary M Heitzeg
- University of Michigan, Department of Psychology, Ann Arbor, MI
- University of Michigan, Department of Psychiatry, Ann Arbor, MI
| | - Monica D Rosenberg
- University of Chicago, Department of Psychology, Chicago, IL
- University of Chicago, Neuroscience Institute, Chicago, IL
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10
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Gou A, Tan G, Ding X, Wang J, Lv X, Gou C, Tan Q. Urban-rural difference in the lagged effects of PM2.5 and PM10 on COPD mortality in Chongqing, China. BMC Public Health 2023; 23:1270. [PMID: 37391730 PMCID: PMC10311728 DOI: 10.1186/s12889-023-16113-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 06/13/2023] [Indexed: 07/02/2023] Open
Abstract
BACKGROUND It is true that Chronic obstructive pulmonary disease (COPD) will increase social burden, especially in developing countries. Urban-rural differences in the lagged effects of PM2.5 and PM10 on COPD mortality remain unclear, in Chongqing, China. METHODS In this study, a distributed lag non-linear model (DLNMs) was established to describe the urban-rural differences in the lagged effects of PM2.5, PM10 and COPD mortality in Chongqing, using 312,917 deaths between 2015 and 2020. RESULTS According to the DLNMs results, COPD mortality in Chongqing increases with increasing PM2.5 and PM10 concentrations, and the relative risk (RR) of the overall 7-day cumulative effect is higher in rural areas than in urban areas. High values of RR in urban areas occurred at the beginning of exposure (Lag 0 ~ Lag 1). High values of RR in rural areas occur mainly during Lag 1 to Lag 2 and Lag 6 to Lag 7. CONCLUSION Exposure to PM2.5 and PM10 is associated with an increased risk of COPD mortality in Chongqing, China. COPD mortality in urban areas has a high risk of increase in the initial phase of PM2.5 and PM10 exposure. There is a stronger lagging effect at high concentrations of PM2.5 and PM10 exposure in rural areas, which may further exacerbate inequalities in levels of health and urbanization.
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Affiliation(s)
- Aiping Gou
- College of Ecological Technology and Engineering, Shanghai Institute of Technology, Shanghai, 201418, China
| | - Guanzheng Tan
- College of Ecological Technology and Engineering, Shanghai Institute of Technology, Shanghai, 201418, China
| | - Xianbin Ding
- Institute of Chronic and Non-communicable Disease Control and Prevention, Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China.
| | - Jiangbo Wang
- College of Architecture, Nanjing Tech University, Nanjing, 211816, China.
| | - Xiaoyan Lv
- Institute of Chronic and Non-communicable Disease Control and Prevention, Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Chunyan Gou
- Department of Acupuncture, Chongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, China
| | - Qiang Tan
- Institute of Chronic and Non-communicable Disease Control and Prevention, Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China
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11
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Liu Q, Wang Z, Lu J, Li Z, Martinez L, Tao B, Wang C, Zhu L, Lu W, Zhu B, Pei X, Mao X. Effects of short-term PM 2.5 exposure on blood lipids among 197,957 people in eastern China. Sci Rep 2023; 13:4505. [PMID: 36934119 PMCID: PMC10024762 DOI: 10.1038/s41598-023-31513-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 03/13/2023] [Indexed: 03/20/2023] Open
Abstract
Globally, air pollution is amongst the most significant causes of premature death. Nevertheless, studies on the relationship between fine particulate matter (PM2.5) exposure and blood lipids have typically not been population-based. In a large, community-based sample of residents in Yixing city, we assessed the relationship between short-term outdoor PM2.5 exposure and blood lipid concentrations. Participants who attended the physical examination were enrolled from Yixing People's hospital from 2015 to 2020. We collected general characteristics of participants, including gender and age, as well as test results of indicators of blood lipids. Data on daily meteorological factors were collected from the National Meteorological Data Sharing Center ( http://data.cma.cn/ ) and air pollutant concentrations were collected from the China Air Quality Online Monitoring and Analysis Platform ( https://www.aqistudy.cn/ ) during this period. We applied generalized additive models to estimate short-term effects of ambient PM2.5 exposure on each measured blood lipid-related indicators and converted these indicators into dichotomous variables (non- hyperlipidemia and hyperlipidemia) to calculate risks of hyperlipidemia associated with PM2.5 exposure. A total of 197,957 participants were included in the analysis with mean age 47.90 years (± SD, 14.28). The increase in PM2.5 was significantly associated with hyperlipidemia (odds ratio (OR) 1.003, 95% CI 1.001-1.004), and it was still significant in subgroups of males and age < 60 years. For every 10 μg/m3 increase in PM2.5, triglyceride levels decreased by 0.5447% (95% CI - 0.7873, - 0.3015), the low-density lipoprotein cholesterol concentration increased by 0.0127 mmol/L (95% CI 0.0099, 0.0156), the total cholesterol concentration increased by 0.0095 mmol/L (95% CI 0.0053, 0.0136), and no significant association was observed between PM2.5 and the high-density lipoprotein cholesterol concentration. After excluding people with abnormal blood lipid concentrations, the associations remained significant except for the high-density lipoprotein cholesterol concentration. PM2.5 was positively correlated with low-density lipoprotein cholesterol and total cholesterol, and negatively correlated with triglyceride, indicating PM2.5 can potentially affect health through blood lipid levels.
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Affiliation(s)
- Qiao Liu
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, Jiangsu Province, People's Republic of China
| | - Zhan Wang
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, Jiangsu Province, People's Republic of China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Junjie Lu
- Department of Critical Care Medicine, Affiliated Yixing People's Hospital, Jiangsu University, Wuxi, People's Republic of China
| | - Zhongqi Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Leonardo Martinez
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA
| | - Bilin Tao
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Chunlai Wang
- Department of Physical Examination Center, Affiliated Yixing People's Hospital, Jiangsu University, Wuxi, People's Republic of China
| | - Limei Zhu
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, Jiangsu Province, People's Republic of China
| | - Wei Lu
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, Jiangsu Province, People's Republic of China
| | - Baoli Zhu
- Department of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, Jiangsu Province, People's Republic of China
| | - Xiaohua Pei
- Divison of Geriatric Nephrology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, People's Republic of China.
| | - Xuhua Mao
- Department of Clinical Laboratory, Affiliated Yixing People's Hospital, Jiangsu University, Wuxi, Jiangsu Province, People's Republic of China.
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12
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Hou X, Mao Z, Song X, Kang N, Zhang C, Li R, Yuchi Y, Liao W, Liu X, Huo W, Wang C, Hou J. Kitchen ventilation alleviated adverse associations of domestic fuel use and long-duration cooking with platelet indices as biomarkers of cardiovascular diseases. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 834:155341. [PMID: 35452724 DOI: 10.1016/j.scitotenv.2022.155341] [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: 12/24/2021] [Revised: 03/28/2022] [Accepted: 04/13/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Abnormal platelet activity is considered as a potential mechanism of cardiovascular diseases (CVDs) related to household air pollution (HAP). However, evidence remains lacking for the association of HAP with platelet activity in low-middle income countries. METHODS 27,349 individuals were obtained from the Henan Rural Cohort Study. A questionnaire was used to collect data on cooking fuel types, cooking frequency and time as well as kitchen ventilation which indirectly reflected HAP. Platelet activity was indicated by platelet count (PLT), platelet distribution width (PDW), mean platelet volume (MPV), ratio of mean platelet volume to platelet count (MPVP), platelet-large cell ratio (P-LCR) and plateletcrit (PCT). Associations of HAP with platelet activity were assessed by generalized linear mixed models. RESULTS Compared with the ones without cooking, participants who cooking using solid fuel, clean fuel, short- and long-duration cooking were at a high risk for increased platelet size (PDW, MPV, MPVP and P-LCR) but decreased PLT and PCT; long-duration cooking participants with non-using exhaust hood/extractor by solid fuel use were associated with a 0.259 f. (95%CI: 0.100, 0.418 fL), 0.115 f. (95%CI: 0.050, 0.181 fL), 0.001 (95%CI: 0.000, 0.003) and 0.928% (95%CI: 0.425, 1.431%) increment in PDW, MPV, MPVP and P-LCR values and these associations were prominent in women relative than that in men. CONCLUSION Using exhaust hood/extractor attenuated the positive associations of solid fuel use and long-duration cooking with increased platelet size in all participants and these associations were prominent in women, indicating that improving kitchen ventilation may be an effective strategy to reduce platelet dysfunction related to HAP, especially for women.
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Affiliation(s)
- Xiaoyu Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaoqin Song
- Physical Examination Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, PR China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Caiyun Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yinghao Yuchi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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Xie G, Yue J, Yang W, Yang L, Xu M, Sun L, Zhang B, Guo L, Chung MC. Effects of PM 2.5 and its constituents on hemoglobin during the third trimester in pregnant women. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:35193-35203. [PMID: 35060058 PMCID: PMC9076737 DOI: 10.1007/s11356-022-18693-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 01/12/2022] [Indexed: 06/14/2023]
Abstract
Anemia has been a public health issue evoking global concern, and the low hemoglobin (Hb) concentration links to adverse pregnancy outcomes. However, the associations of PM2.5 and its constituents with Hb and anemia in pregnant women remain unclear. In this retrospective birth cohort study, 7932 pregnant women who delivered in the First Affiliated Hospital of Xi'an Jiaotong University from 2015 to 2018 were included. The Hb during the third trimester in pregnant women was assessed before delivery. PM2.5 and its constituents (BC, NH4+, NO3-, OM, SO42-, and Dust) during pregnancy were retrieved from the V4.CH.03 product constructed by the Atmospheric Composition Analysis Group. Generalized linear regression model was applied to investigate the effects of PM2.5 and its constituents on Hb and anemia during the third trimester in pregnant women. The means and standard deviations of PM2.5, BC, NH4+, NO3-, OM, SO42-, and Dust were 69.56 (15.24), 10.02 (2.72), 8.11 (1.77), 14.96 (5.42), 15.36 (4.11), 10.08 (1.20), and 10.98 (1.85) μg/m3, respectively. Per IQR increase (μg/m3) of PM2.5, BC, NO3-, and OM linked to - 0.75 (- 1.50, - 0.01), - 0.85 (- 1.65, - 0.04), - 0.79 (- 1.56, - 0.03), and - 0.73 (- 1.44, - 0.03) g/L decrease of Hb during the third trimester in multiparous pregnant women, but not for NH4+, SO42-, Dust, and primiparous pregnant women. PM2.5 and its constituents had no significant association with anemia, except for Dust (OR: 0.90, 95% CI: 0.82, 0.99, per IQR increase) in primiparous pregnant women. Besides, SO42- was of lag effects on Hb and anemia in multiparous pregnant women. Moreover, non-linear associations were found among PM2.5 and its constituents, Hb, and anemia. Therefore, exposure to PM2.5 and some constituents of PM2.5 was associated with reduced Hb level during the third trimester in multiparous pregnant women. Related departments and pregnant women should take targeted actions to eliminate the detrimental effects of PM2.5 and its constituents on pregnancy outcomes.
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Affiliation(s)
- Guilan Xie
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Shaanxi Province, 710061, Xi'an, People's Republic of China
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi Province, People's Republic of China
| | - Jie Yue
- Department of Pediatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province, People's Republic of China
| | - Wenfang Yang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Shaanxi Province, 710061, Xi'an, People's Republic of China.
| | - Liren Yang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Shaanxi Province, 710061, Xi'an, People's Republic of China
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi Province, People's Republic of China
| | - Mengmeng Xu
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Shaanxi Province, 710061, Xi'an, People's Republic of China
| | - Landi Sun
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Shaanxi Province, 710061, Xi'an, People's Republic of China
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi Province, People's Republic of China
| | - Boxing Zhang
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Shaanxi Province, 710061, Xi'an, People's Republic of China
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi Province, People's Republic of China
| | - Leqian Guo
- Department of Obstetrics and Gynecology, Maternal & Child Health Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277, West Yanta Road, Shaanxi Province, 710061, Xi'an, People's Republic of China
| | - Mei Chun Chung
- Division of Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA
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Li J, Zhang Y, Zhang L, An Z, Song J, Wang C, Ma Y, Gu Q, Luo Q, Yang W, Du Y, Wu W. Fine particulate matter exposure exacerbated nasal mucosal damage in allergic rhinitis mice via NLRP3 mediated pyroptosis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 228:112998. [PMID: 34798361 DOI: 10.1016/j.ecoenv.2021.112998] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/11/2021] [Accepted: 11/14/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND The incidence of nasal allergy/allergic rhinitis (AR) is rising worldwide, which has become a serious public health problem. Epidemiological studies point that exposure to environmental PM2.5 is closely linked to AR aggravation, however, the exactly mechanism is not clear. This study was performed to reveal molecular mechanisms of PM2.5 -induced AR deterioration. METHODS Morphology and element analysis of PM2.5 was examined by scanning electron microscopy (SEM) and Energy Dispersive Spectrometer (EDS). A total of 24 female C57BL/6 mice were divided into three groups (control group, AR group, and PM2.5 + AR group, each group contains 8 mice). Mice from AR group and PM2.5 + AR group were intraperitoneally injected with OVA suspension (0.004% OVA+3% aluminum hydroxide) on days 1, 7, and 14. 0.2 mL /kg B.W. for sensitization; then the same mice were intranasal instilled with 5% OVA solution daily for 7 days to established AR mice model (each nostril for 10 μl, day 15-21). The mice were intranasal instilled PBS (control group and AR group, each nostril for 10 μl) or PM2.5 (AR + PM2.5 group, 4.0 mg/kg b.w., each nostril for 10 μl) at the same way from day 23-29. The nasal symptoms were evaluated after the last instillation of PM2.5. Pathological changes and ultrastructure of nasal mucosa were observed by HE staining and SEM. Goblet cells hyperplasia was performed by Periodic acid-Schiff (PAS) staining. NLRP3, Caspase-1, GSDMD and IL-1β protein expression were assessed by immunohistochemical (IHC) staining. RESULTS Exposure to PM2.5 aggravated rhinitis symptom, promoted the secretion of serum IgE level and destroyed ultrastructural of nasal mucosa. Interestingly, NLRP3, Caspase-1 GSDMD and IL-1β protein expression were obviously elevated. NLRP3 /Capase-1/ GSDMD meditated cell pyroptosis participated in the process of AR exacerbation. However, macrophage is not the main effector cell. CONCLUSION PM2.5 exposure induces aggravation of allergic rhinitis, which is related to NLRP3 inflammasome meditated caspase-1 activation and cell pyroptosis in nasal mucosal.
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Affiliation(s)
- Juan Li
- International Collaborative Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Ying Zhang
- International Collaborative Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Lin Zhang
- Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Maternal and Child Health Care Hospital of Shandong Province, Shandong University, Shandong Province 250001, China
| | - Zhen An
- International Collaborative Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Jie Song
- International Collaborative Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Chunzhi Wang
- International Collaborative Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Yanmei Ma
- International Collaborative Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Qi Gu
- International Collaborative Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Qizhan Luo
- International Collaborative Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Weiling Yang
- International Collaborative Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Yue Du
- International Collaborative Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Weidong Wu
- International Collaborative Laboratory for Air Pollution Health Effects and Intervention, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China.
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Jandacka D, Durcanska D. Seasonal Variation, Chemical Composition, and PMF-Derived Sources Identification of Traffic-Related PM 1, PM 2.5, and PM 2.5-10 in the Air Quality Management Region of Žilina, Slovakia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph181910191. [PMID: 34639491 PMCID: PMC8508023 DOI: 10.3390/ijerph181910191] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 09/20/2021] [Accepted: 09/22/2021] [Indexed: 11/16/2022]
Abstract
Particulate matter (PM) air pollution in the urban environment is mainly related to the presence of potential sources throughout the year. Road transport is one of the most important sources of PM in the urban environment, because it directly affects pedestrians. PM measurements were performed in the city of Žilina, Slovakia, at various road-traffic-related measurement stations over the course of several years. This paper evaluates changes in the concentration of the fine fraction (PM2.5), the ultrafine fraction (PM1), and the coarse fraction (PM2.5–10) over time. PM concentrations were measured by reference gravimetric method. Significant changes in PM concentrations over time due to the diversification of pollution sources and other, secondary factors can be observed from the analysis of the measured data. PM samples were subjected to chemical analysis inductively coupled plasma mass spectrometry (ICP-MS) to determine the concentrations of elements (Mg, Al, Ca, Cr, Cu, Fe, Cd, Sb, Ba, Pb, Ni, and Zn). The seasonal variation of elements was evaluated, and the sources of PM2.5, PM1, and PM2.5–10 were estimated using principal component analysis (PCA) and positive matrix factorization (PMF). PM2.5 (maximum concentration of 148.95 µg/m3 over 24 h) and PM1 (maximum concentration of 110.51 µg/m3 over 24 h) showed the highest concentrations during the heating season, together with the elements Cd, Pb, and Zn, which showed a significant presence in these fractions. On the other hand, PM2.5–10 (maximum concentration of 38.17 µg/m3 over 24 h) was significantly related to the elements Cu, Sb, Ba, Ca, Cr, Fe, Mg, and Al. High correlation coefficients (r ≥ 0.8) were found for the elements Mg, Ca, Fe, Al, Cd, Pb, and Zn in the PM1 fraction, Cd, Pb, and Zn in PM2.5, and Ba, Sb, Fe, Cu, Cr, Mg, Al, and Ca in PM2.5–10. Using PMF analysis, three major sources of PM (abrasion from tires and brakes, road dust resuspension/winter salting, and combustion processes) were identified for the PM2.5 and PM1 fractions, as well as for the coarse PM2.5–10 fraction. This study reveals the importance of non-exhaust PM emissions in the urban environment.
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Integrated Mobile Laboratory for Air Pollution Assessment: Literature Review and cc-TrAIRer Design. ATMOSPHERE 2021. [DOI: 10.3390/atmos12081004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
To promote research studies on air pollution and climate change, the mobile laboratory cc-TrAIRer (Climate Change—TRailer for AIR and Environmental Research) was designed and built. It consists of a trailer which affords particles, gas, meteorological and noise measurements. Thanks to its structure and its versatility, it can easily conduct field campaigns in remote areas. The literature review presented in this paper shows the main characteristics of the existing mobile laboratories. The cc-TrAIRer was built by evaluating technical aspects, instrumentations and auxiliary systems that emerged from previous studies in the literature. Some of the studies conducted in heterogeneous topography areas, such as the Po Valley and the Alps, using instruments that were chosen to be located on the mobile laboratory are here reported. The preliminary results highlight the future applications of the trailer and the importance of high temporal resolution data acquisition for the characterization of pollution phenomena. The potential applications of the cc-TrAIRer concern different fields, such as complex terrain, emergency situations, worksite and local source impacts and temporal and spatial distributions of atmospheric compounds. The integrated use of gas and particle analysers, a weather station and environment monitoring systems in a single easily transportable vehicle will contribute to research studies on global aspects of climate change.
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