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Cui Z, Pan R, Liu J, Yi W, Huang Y, Li M, Zhang Z, Kuang L, Liu L, Wei N, Song R, Yuan J, Li X, Yi X, Song J, Su H. Green space and its types can attenuate the associations of PM 2.5 and its components with prediabetes and diabetes-- a multicenter cross-sectional study from eastern China. ENVIRONMENTAL RESEARCH 2024; 245:117997. [PMID: 38157960 DOI: 10.1016/j.envres.2023.117997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 12/12/2023] [Accepted: 12/19/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND The effect of fine particulate matter (PM2.5) components on prediabetes and diabetes is of concern, but the evidence is limited and the specific role of different green space types remains unclear. This study aims to investigate the relationship of PM2.5 and its components with prediabetes and diabetes as well as the potential health benefits of different types and combinations of green spaces. METHODS A multicenter cross-sectional study was conducted in eastern China by using a multi-stage random sampling method. Health screening and questionnaires for 98,091 participants were performed during 2017-2020. PM2.5 and its five components were estimated by the inverse distance weighted method, and green space was reflected by the Normalized Difference Vegetation Index (NDVI), percentages of tree or grass cover. Multivariate logistic regression and quantile g-computing were used to explore the associations of PM2.5 and five components with prediabetes and diabetes and to elucidate the potential moderating role of green space and corresponding type combinations in these associations. RESULTS Each interquartile range (IQR) increment of PM2.5 was associated with both prediabetes (odds ratio [OR]: 1.15, 95%CI [confidence interval]: 1.10-1.20) and diabetes (OR: 1.18, 95% CI: 1.11-1.25), respectively. All five components of PM2.5 were related to prediabetes and diabetes. The ORs of PM2.5 on diabetes were 1.49 (1.35-1.63) in the low tree group and 0.90 (0.82-0.98) in the high tree group, respectively. In the high tree-high grass group, the harmful impacts of PM2.5 and five components were significantly lower than in the other groups. CONCLUSION Our study suggested that PM2.5 and its components were associated with the increased risk of prediabetes and diabetes, which could be diminished by green space. Furthermore, the coexistence of high levels of tree and grass cover provided greater benefits. These findings had critical implications for diabetes prevention and green space-based planning for healthy city.
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Affiliation(s)
- Zhiqian Cui
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Jintao Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Yuxin Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Ming Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Zichen Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Lingmei Kuang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Li Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Ning Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Rong Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Jiajun Yuan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Xuanxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Xingxu Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, 230032, China.
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Humphrey JL, Kinnee EJ, Robinson LF, Clougherty JE. Disentangling impacts of multiple pollutants on acute cardiovascular events in New York city: A case-crossover analysis. ENVIRONMENTAL RESEARCH 2024; 242:117758. [PMID: 38029813 DOI: 10.1016/j.envres.2023.117758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 10/29/2023] [Accepted: 11/21/2023] [Indexed: 12/01/2023]
Abstract
BACKGROUND Ambient air pollution contributes to an estimated 6.67 million deaths annually, and has been linked to cardiovascular disease (CVD), the leading cause of death. Short-term increases in air pollution have been associated with increased risk of CVD event, though relatively few studies have directly compared effects of multiple pollutants using fine-scale spatio-temporal data, thoroughly adjusting for co-pollutants and temperature, in an exhaustive citywide hospitals dataset, towards identifying key pollution sources within the urban environment to most reduce, and reduce disparities in, the leading cause of death worldwide. OBJECTIVES We aimed to examine multiple pollutants against multiple CVD diagnoses, across lag days, in models adjusted for co-pollutants and meteorology, and inherently adjusted by design for non-time-varying individual and aggregate-level covariates, using fine-scale space-time exposure estimates, in an exhaustive dataset of emergency department visits and hospitalizations across an entire city, thereby capturing the full population-at-risk. METHODS We used conditional logistic regression in a case-crossover design - inherently controlling for all confounders not varying within case month - to examine associations between spatio-temporal nitrogen dioxide (NO2), fine particulate matter (PM2.5), sulfur dioxide (SO2), and ozone (O3) in New York City, 2005-2011, on individual risk of acute CVD event (n = 837,523), by sub-diagnosis [ischemic heart disease (IHD), heart failure (HF), stroke, ischemic stroke, acute myocardial infarction]. RESULTS We found significant same-day associations between NO2 and risk of overall CVD, IHD, and HF - and between PM2.5 and overall CVD or HF event risk - robust to all adjustments and multiple comparisons. Results were comparable by sex and race - though median age at CVD was 10 years younger for Black New Yorkers than White New Yorkers. Associations for NO2 were comparable for adults younger or older than 69 years, though PM2.5 associations were stronger among older adults. DISCUSSION Our results indicate immediate, robust effects of combustion-related pollution on CVD risk, by sub-diagnosis. Though acute impacts differed minimally by age, sex, or race, the much younger age-at-event for Black New Yorkers calls attention to cumulative social susceptibility.
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Affiliation(s)
- Jamie L Humphrey
- Center Public Health Methods; RTI International, Research Triangle Park, NC, 27709, USA
| | - Ellen J Kinnee
- University Center for Social and Urban Research, University of Pittsburgh, Pittsburgh, PA, 15260, USA
| | - Lucy F Robinson
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA
| | - Jane E Clougherty
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA.
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Asghar N, Hussain A, Nguyen DA, Ali S, Hussain I, Junejo A, Ali A. Advancement in nanomaterials for environmental pollutants remediation: a systematic review on bibliometrics analysis, material types, synthesis pathways, and related mechanisms. J Nanobiotechnology 2024; 22:26. [PMID: 38200605 PMCID: PMC10777661 DOI: 10.1186/s12951-023-02151-3] [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: 06/07/2023] [Accepted: 10/09/2023] [Indexed: 01/12/2024] Open
Abstract
Environmental pollution is a major issue that requires effective solutions. Nanomaterials (NMs) have emerged as promising candidates for pollution remediation due to their unique properties. This review paper provides a systematic analysis of the potential of NMs for environmental pollution remediation compared to conventional techniques. It elaborates on several aspects, including conventional and advanced techniques for removing pollutants, classification of NMs (organic, inorganic, and composite base). The efficiency of NMs in remediation of pollutants depends on their dispersion and retention, with each type of NM having different advantages and disadvantages. Various synthesis pathways for NMs, including traditional synthesis (chemical and physical) and biological synthesis pathways, mechanisms of reaction for pollutants removal using NMs, such as adsorption, filtration, disinfection, photocatalysis, and oxidation, also are evaluated. Additionally, this review presents suggestions for future investigation strategies to improve the efficacy of NMs in environmental remediation. The research so far provides strong evidence that NMs could effectively remove contaminants and may be valuable assets for various industrial purposes. However, further research and development are necessary to fully realize this potential, such as exploring new synthesis pathways and improving the dispersion and retention of NMs in the environment. Furthermore, there is a need to compare the efficacy of different types of NMs for remediating specific pollutants. Overall, this review highlights the immense potential of NMs for mitigating environmental pollutants and calls for more research in this direction.
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Affiliation(s)
- Nosheen Asghar
- Department of Global Smart City, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, 16419, Republic of Korea.
| | - Alamdar Hussain
- Department of Botany, University of Baltistan, Skardu 16400, Gilgit-Baltistan, Pakistan
| | - Duc Anh Nguyen
- Department of Global Smart City, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, 16419, Republic of Korea
| | - Salar Ali
- Department of Environmental Science, University of Baltistan, Skardu 16400, Gilgit-Baltistan, Pakistan
| | - Ishtiaque Hussain
- Department of Environmental Science, University of Baltistan, Skardu 16400, Gilgit-Baltistan, Pakistan
- Department of Environmental Science, Quaid-i-Azam University of Islamabad, Islamabad, 15320, Pakistan
| | - Aurangzeb Junejo
- Department of Global Smart City, Sungkyunkwan University (SKKU), 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, 16419, Republic of Korea
| | - Attarad Ali
- Department of Environmental Science, University of Baltistan, Skardu 16400, Gilgit-Baltistan, Pakistan.
- Directorate of Quality Enhancement Cell, University of Baltistan, Skardu 16400, Gilgit-Baltistan, Pakistan.
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Aarthi GR, Mehreen Begum TS, Moosawi SA, Kusuma D, Ranjani H, Paradeepa R, Padma V, Mohan V, Anjana RM, Fecht D. Associations of the built environment with type 2 diabetes in Asia: a systematic review. BMJ Open 2023; 13:e065431. [PMID: 37015791 PMCID: PMC10083821 DOI: 10.1136/bmjopen-2022-065431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/06/2023] Open
Abstract
OBJECTIVES Our study aimed to systematically review the literature and synthesise findings on potential associations of built environment characteristics with type 2 diabetes (T2D) in Asia. DESIGN Systematic review of the literature. DATA SOURCES Online databases Medline, Embase and Global Health were used to identify peer-reviewed journal articles published from inception to 23 January 2023. ELIGIBILITY CRITERIA Eligible studies included cohort, cross-sectional and case-control studies that explored associations of built environment characteristics with T2D among adults 18 years and older in Asia. DATA EXTRACTION AND SYNTHESIS Covidence online was used to remove duplicates and perform title, abstract and full-text screening. Data extraction was carried out by two independent reviewers using the OVID database and data were imported into MS Excel. Out of 5208 identified studies, 28 studies were included in this systematic review. Due to heterogeneity in study design, built environment and outcome definitions, a semiqualitative analysis was conducted, which synthesised results using weighted z-scores. RESULTS Five broad categories of built environment characteristics were associated with T2D in Asia. These included urban green space, walkability, food environment, availability and accessibility of services such as recreational and healthcare facilities and air pollution. We found very strong evidence of a positive association of particulate matter (PM2.5, PM10), nitrogen dioxide and sulfur dioxide (p<0.001) with T2D risk. CONCLUSION Several built environment attributes were significantly related to T2D in Asia. When compared with Western countries, very few studies have been conducted in Asia. Further research is, therefore, warranted to establish the importance of the built environment on T2D. Such evidence is essential for public health and planning policies to (re)design neighbourhoods and help improve public health across Asian countries. PROSPERO REGISTRATION NUMBER CRD42020214852.
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Affiliation(s)
- Garudam Raveendiran Aarthi
- Department of Research Operations, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
- School of Public Health, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
| | - Thaharullah Shah Mehreen Begum
- Department of Research Operations, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
- School of Public Health, Imperial College London, London, UK
| | | | - Dian Kusuma
- Centre for Health Economics and Policy Innovations, Imperial College Business School, London, UK
| | - Harish Ranjani
- Department of Translational Research, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Rajendra Paradeepa
- Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Venkatasubramanian Padma
- School of Public Health, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Ranjit Mohan Anjana
- School of Public Health, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India
- Department of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
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Aminorroaya A, Feizi A, Shahraki P, Najafabadi A, Iraj B, Abyar M, Amini M, Meamar R. The association of exposure to air pollution with changes in plasma glucose indices, and incidence of diabetes and prediabetes: A prospective cohort of first-degree relatives of patients with type 2 diabetes. JOURNAL OF RESEARCH IN MEDICAL SCIENCES 2023; 28:21. [DOI: 10.4103/jrms.jrms_477_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/26/2022] [Accepted: 10/18/2022] [Indexed: 04/03/2023]
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Clougherty JE. Invited Perspective: Temporality and Recursive Dynamics in Stress-Pollution Interactions. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:121302. [PMID: 36542477 PMCID: PMC9770040 DOI: 10.1289/ehp12416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 11/28/2022] [Accepted: 11/30/2022] [Indexed: 06/17/2023]
Affiliation(s)
- Jane E. Clougherty
- Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
- Urban Health Collaborative (UHC), Drexel University, Philadelphia, Pennsylvania, USA
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Wang W, Guo T, Guo H, Chen X, Ma Y, Deng H, Yu H, Chen Q, Li H, Liu Q, Shan A, Li Y, Pang B, Shi J, Wang X, Chen J, Deng F, Sun Z, Guo X, Wang Y, Tang N, Wu S. Ambient particulate air pollution, blood cell parameters, and effect modification by psychosocial stress: Findings from two studies in three major Chinese cities. ENVIRONMENTAL RESEARCH 2022; 210:112932. [PMID: 35176316 DOI: 10.1016/j.envres.2022.112932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 01/04/2022] [Accepted: 02/07/2022] [Indexed: 06/14/2023]
Abstract
The associations between particulate matter (PM) exposure, psychosocial stress and blood cell parameters are bringing novel insights to characterize the early damage of multiple diseases. Based on two studies conducted in three Chinses cities using cross-sectional (Beijing, 425 participants) and panel study (Tianjin and Shanghai, 92 participants with 361 repeated measurements) designs, this study explored the associations between short-term exposure to ambient PM and blood cell parameters, and the effect modification by psychosocial stress. Increasing PM2.5 exposure was significantly associated with decreases in red blood cell (RBC) count and mean corpuscular hemoglobin concentration (MCHC), and increases in mean corpuscular volume (MCV), platelets count (PLT) and platelet hematocrit (PCT) in both studies. For instance, a 10 μg/m3 increment in PM2.5 concentration was associated with a 1.04% (95%CI: 0.16%, 1.92%) increase in PLT (4-d) and a 1.09% (95%CI: 0.31%, 1.87%) increase in PCT (4-d) in the cross-sectional study, and a 0.64% (95%CI: 0.06%, 1.22%) increase in PLT (1-d) and a 0.72% (95%CI: 0.33%, 1.11%) increase in PCT (1-d) in the panel study, respectively. In addition, stronger increases in MCV, PLT, and PCT associated with PM2.5 exposure were found in higher psychosocial stress group compared to lower psychosocial stress group (p for interaction <0.10), indicating that blood cell parameters of individuals with higher psychosocial stress might be more susceptible to the early damages of PM2.5 exposure.
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Affiliation(s)
- Wanzhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Tongjun Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Huaqi Guo
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xi Chen
- Department of Occupational and Environmental Health, Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yating Ma
- Institute of Social Psychology, School of Humanities and Social Sciences, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Hongyan Deng
- Qinglongqiao Community Health Service Center, Haidian District, Beijing, China
| | - Hengyi Yu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiao Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Hongyu Li
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Qisijing Liu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Anqi Shan
- Department of Occupational and Environmental Health, Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yaoyan Li
- Department of Occupational and Environmental Health, Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Bo Pang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Jiazhang Shi
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xinmei Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Juan Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Yan Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China; The Ninth People's Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Naijun Tang
- Department of Occupational and Environmental Health, Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China.
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Liang N, Emami S, Patten KT, Valenzuela AE, Wallis CD, Wexler AS, Bein KJ, Lein PJ, Taha AY. Chronic exposure to traffic-related air pollution reduces lipid mediators of linoleic acid and soluble epoxide hydrolase in serum of female rats. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2022; 93:103875. [PMID: 35550873 PMCID: PMC9353974 DOI: 10.1016/j.etap.2022.103875] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 05/02/2022] [Accepted: 05/04/2022] [Indexed: 06/15/2023]
Abstract
Chronic exposure to traffic-related air pollution (TRAP) is known to promote systemic inflammation, which is thought to underlie respiratory, cardiovascular, metabolic and neurological disorders. It is not known whether chronic TRAP exposure dampens inflammation resolution, the homeostatic process for stopping inflammation and repairing damaged cells. In vivo, inflammation resolution is facilitated by bioactive lipid mediators known as oxylipins, which are derived from the oxidation of polyunsaturated fatty acids. To understand the effects of chronic TRAP exposure on lipid-mediated inflammation resolution pathways, we measured total (i.e. free+bound) pro-inflammatory and pro-resolving lipid mediators in serum of female rats exposed to TRAP or filtered air (FA) for 14 months. Compared to rats exposed to FA, TRAP-exposed rats showed a significant 36-48% reduction in fatty acid alcohols, specifically, 9-hydroxyoctadecadienoic acid (9-HODE), 11,12-dihydroxyeicosatetraenoic acid (11,12-DiHETE) and 16,17-dihydroxydocosapentaenoic acid (16, 17-DiHDPA). The decrease in fatty acid diols (11,12-DiHETE and 16, 17-DiHDPA) corresponded to a significant 34-39% reduction in the diol to epoxide ratio, a marker of soluble epoxide hydrolase activity; this enzyme is typically upregulated during inflammation. The findings demonstrate that 14 months exposure to TRAP reduced pro-inflammatory 9-HODE concentration and dampened soluble epoxide hydrolase activation, suggesting adaptive immune changes in lipid mediator pathways involved in inflammation resolution.
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Affiliation(s)
- Nuanyi Liang
- Department of Food Science and Technology, College of Agriculture and Environmental Sciences, University of California Davis, Davis, CA, USA
| | - Shiva Emami
- Department of Food Science and Technology, College of Agriculture and Environmental Sciences, University of California Davis, Davis, CA, USA
| | - Kelley T Patten
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA, USA
| | - Anthony E Valenzuela
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA, USA
| | | | - Anthony S Wexler
- Mechanical and Aerospace Engineering, University of California, Davis, CA 95616, USA; Air Quality Research Center, University of California, Davis, Davis, CA, USA
| | - Keith J Bein
- Air Quality Research Center, University of California, Davis, Davis, CA, USA; Center for Health and the Environment, University of California, Davis, Davis, CA, USA
| | - Pamela J Lein
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA, USA
| | - Ameer Y Taha
- Department of Food Science and Technology, College of Agriculture and Environmental Sciences, University of California Davis, Davis, CA, USA; West Coast Metabolomics Center, Genome Center, University of California Davis, Davis, CA, USA.
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9
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Chen W, Han Y, Wang Y, Chen X, Qiu X, Li W, Xu Y, Zhu T. Glucose Metabolic Disorders Enhance Vascular Dysfunction Triggered by Particulate Air Pollution: a Panel Study. Hypertension 2022; 79:1079-1090. [PMID: 35193365 DOI: 10.1161/hypertensionaha.121.18889] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Vascular dysfunction is a biological pathway whereby particulate matter (PM) exerts deleterious cardiovascular effects. The effects of ambient PM on vascular function in prediabetic individuals are unclear. METHODS A panel study recruited 112 Beijing residents with and without prediabetes. Multiple vascular function indices were measured up to 7 times. The associations between vascular function indices and short-term exposure to ambient PM, including fine particulate matter (PM2.5), ultrafine particles, accumulation mode particles, and black carbon, and the modification of these associations by glucose metabolic status were examined using linear mixed-effects models. RESULTS Increases in brachial artery pulse pressure, central aortic pulse pressure, and ejection duration, and decreases in subendocardial viability ratio and reactive hyperemia index were significantly associated with at least one PM pollutant in all participants, indicating increased vascular dysfunction. For example, for an interquartile range increment in 5-day moving average ultrafine particles, brachial artery pulse pressure, and central aortic pulse pressure increased 5.4% (0.8%-10.4%) and 6.2% (1.2%-11.5%), respectively. Additionally, PM-associated changes in vascular function differed according to glucose metabolic status. Among participants with high fasting blood glucose levels (≥6.1 mmol/L), PM exposure was significantly associated with increased brachial artery systolic blood pressure, central aortic systolic blood pressure, brachial artery pulse pressure, central aortic pulse pressure, and augmentation pressure normalized to a heart rate of 75 bpm and decreased subendocardial viability ratio and reactive hyperemia index. Weaker or null associations were observed in the low-fasting blood glucose group. CONCLUSIONS Glucose metabolic disorders may exacerbate vascular dysfunction associated with short-term ambient PM exposure.
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Affiliation(s)
- Wu Chen
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China
| | - Yiqun Han
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China.,Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, United Kingdom (Y.H.)
| | - Yanwen Wang
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China.,National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China (Y.W.)
| | - Xi Chen
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China.,Hebei Technology Innovation Center of Human Settlement in Green Building (TCHS), Shenzhen Institute of Building Research Co, Ltd, Xiongan, China (X.C.)
| | - Xinghua Qiu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China
| | - Weiju Li
- Peking University Hospital (W.L.), Peking University, Beijing, China
| | - Yifan Xu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China
| | - Tong Zhu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China
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10
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Wang T, Han Y, Li H, Wang Y, Chen X, Chen W, Qiu X, Gong J, Li W, Zhu T. Proinflammatory lipid signals trigger the health effects of air pollution in individuals with prediabetes. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 290:118008. [PMID: 34479157 DOI: 10.1016/j.envpol.2021.118008] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 07/30/2021] [Accepted: 08/18/2021] [Indexed: 06/13/2023]
Abstract
Individuals with metabolic disorders exhibit enhanced susceptibility to the cardiovascular health effects of particulate air pollution, but the underlying mechanisms are not yet understood. We aim to assess whether changes in proinflammatory lipid signals are associated with fine particulate matter (PM2.5) exposure in individuals with and without prediabetes. A longitudinal panel study was conducted in Beijing, China, and included 120 participants followed up over 589 clinical visits from August 2013 to February 2015. We measured 12 lipids derived from arachidonic acid pathways in blood samples of the participants via targeted lipidomic analyses. Ambient PM2.5 concentrations were continuously monitored at a station for associations with the lipids. Among the 120 participants, 110 (mean [SD] age at recruitment, 56.5 [4.2] years; 31 prediabetics) who visited the clinic at least twice over the follow-up period were assigned exposure values of the outdoor residential PM2.5 concentrations during the 1-14 days preceding each clinical visit. With an interquartile range increase in the 1-day-lag PM2.5 exposure (64.0 μg/m3), the prediabetic group had consistently greater increases in the concentration of arachidonate metabolites derived from the cytochrome P450 (CYP450) pathway (5,6-DHET, 15.8% [95% CI, 3.5-29.7%]; 8,9-DHET, 9.7% [95% CI, 0.6-19.6%]; 11,12-DHET, 8.3% [95% CI, 1.9-15.1%]; 14,15-DHET, 7.4% [95% CI, 0.9-14.4%]; and 20-HETE, 8.9% [95% CI, 1.0-17.5%]), compared with the healthy group. Among CYP450-derived lipids, 14,15-DHET and 20-HETE significantly mediated 8% and 8% of the PM2.5-associated increase in white blood cells, 10% and 13% of that in neutrophils, and 20% and 23% of that in monocytes, respectively, in the prediabetic group. In conclusion, proinflammatory lipid signals from CYP450 pathways triggered the health effects of particulate air pollution in individuals with prediabetes, suggesting that targeting lipid metabolism has therapeutic potential to attenuate or prevent the cardiovascular effects of air pollution in susceptible populations.
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Affiliation(s)
- Teng Wang
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Yiqun Han
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China; Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK
| | - Haonan Li
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Yanwen Wang
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China; National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xi Chen
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China; GRiC, Shenzhen Institute of Building Research Co., Ltd., Shenzhen, China
| | - Wu Chen
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Xinghua Qiu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Jicheng Gong
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Weiju Li
- Peking University Hospital, Peking University, Beijing, China
| | - Tong Zhu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
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11
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Shi Y, Han Y, Wang Y, Qi L, Chen X, Chen W, Li W, Zhang H, Zhu T, Gong J. Serum branched-chain amino acids modifies the associations between air pollutants and insulin resistance. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 225:112780. [PMID: 34537587 DOI: 10.1016/j.ecoenv.2021.112780] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 09/02/2021] [Accepted: 09/11/2021] [Indexed: 06/13/2023]
Abstract
Growing evidence supports that air pollution exposure has become a risk factor of type II diabetes mellitus through the induction of insulin resistance (IR), but the presented findings did not provide a consistent relationship between air pollution exposure and IR in the temporal scale and the magnitude. Reported associated with IR and air pollution exposure, branched-chain amino acids (BCAAs) in blood might modify the association between air pollution exposure and IR. We took advantage of an existing panel study on elderly people who were healthy or with pre-diabetes. Amino acids were analyzed from the serum samples using a UPLC-QQQ-MS, and the homeostasis model assessment of insulin resistance (HOMA-IR) values were calculated to represent the levels of IR in each visit. Exposures to PM2.5, NO2, SO2, CO, O3, and black carbon (BC) were estimated using data from a monitoring station. Linear mixed-effects models were applied to estimate the associations between the air pollution and HOMA-IR, as well as the modifying effects of BCAAs. We found significantly higher concentrations of BCAAs in the pre-diabetic subjects than healthy ones. The concentrations of BCAAs were all significantly associated with HOMA-IR. For subjects with high-level BCAAs, HOMA-IR was positively associated with an IQR increase in PM2.5, NO2, BC, and CO at lag day 2 and in PM2.5, SO2, NO2, BC, and CO at lag day 7. While for subjects with low-level BCAAs, there was no significant association observed at any lag day except for CO at lag day 5. The study provided evidence that circulating BCAAs may modify the relationship between air pollution exposure and the level of insulin resistance in humans.
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Affiliation(s)
- Yunxiu Shi
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control (IJRC), Ministry of Education, College of Environmental Sciences and Engineering, Beijing 100871, China
| | - Yiqun Han
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control (IJRC), Ministry of Education, College of Environmental Sciences and Engineering, Beijing 100871, China; Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK
| | - Yanwen Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control (IJRC), Ministry of Education, College of Environmental Sciences and Engineering, Beijing 100871, China; National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liang Qi
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control (IJRC), Ministry of Education, College of Environmental Sciences and Engineering, Beijing 100871, China; School of Food and Biological Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China
| | - Xi Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control (IJRC), Ministry of Education, College of Environmental Sciences and Engineering, Beijing 100871, China; Hebei Xiongan Green-Research Inspection and Certification Co., Ltd., Shenzhen Institute of Building Research Co., Ltd., Shenzhen, China
| | - Wu Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control (IJRC), Ministry of Education, College of Environmental Sciences and Engineering, Beijing 100871, China
| | - Weiju Li
- Peking University Hospital, Peking University, Beijing 100871, China
| | - Hongyin Zhang
- Peking University Hospital, Peking University, Beijing 100871, China
| | - Tong Zhu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control (IJRC), Ministry of Education, College of Environmental Sciences and Engineering, Beijing 100871, China
| | - Jicheng Gong
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control (IJRC), Ministry of Education, College of Environmental Sciences and Engineering, Beijing 100871, China.
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12
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Hahad O, Kuntic M, Frenis K, Chowdhury S, Lelieveld J, Lieb K, Daiber A, Münzel T. Physical Activity in Polluted Air-Net Benefit or Harm to Cardiovascular Health? A Comprehensive Review. Antioxidants (Basel) 2021; 10:antiox10111787. [PMID: 34829658 PMCID: PMC8614825 DOI: 10.3390/antiox10111787] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/01/2021] [Accepted: 11/04/2021] [Indexed: 12/15/2022] Open
Abstract
Both exposure to higher levels of polluted air and physical inactivity are crucial risk factors for the development and progression of major noncommunicable diseases and, in particular, of cardiovascular disease. In this context, the World Health Organization estimated 4.2 and 3.2 million global deaths per year in response to ambient air pollution and insufficient physical activity, respectively. While regular physical activity is well known to improve general health, it may also increase the uptake and deposit of air pollutants in the lungs/airways and circulation, due to increased breathing frequency and minute ventilation, thus increasing the risk of cardiovascular disease. Thus, determining the tradeoff between the health benefits of physical activity and the potential harmful effects of increased exposure to air pollution during physical activity has important public health consequences. In the present comprehensive review, we analyzed evidence from human and animal studies on the combined effects of physical activity and air pollution on cardiovascular and other health outcomes. We further report on pathophysiological mechanisms underlying air pollution exposure, as well as the protective effects of physical activity with a focus on oxidative stress and inflammation. Lastly, we provide mitigation strategies and practical recommendations for physical activity in areas with polluted air.
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Affiliation(s)
- Omar Hahad
- Department of Cardiology—Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (O.H.); (M.K.)
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany
- Leibniz Institute for Resilience Research (LIR), 55122 Mainz, Germany;
| | - Marin Kuntic
- Department of Cardiology—Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (O.H.); (M.K.)
| | - Katie Frenis
- Department of Hematology/Oncology, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, USA;
| | - Sourangsu Chowdhury
- Atmospheric Chemistry Department, Max Planck Institute for Chemistry, 55122 Mainz, Germany; (S.C.); (J.L.)
| | - Jos Lelieveld
- Atmospheric Chemistry Department, Max Planck Institute for Chemistry, 55122 Mainz, Germany; (S.C.); (J.L.)
- Climate and Atmosphere Research Center, The Cyprus Institute, Nicosia 2121, Cyprus
| | - Klaus Lieb
- Leibniz Institute for Resilience Research (LIR), 55122 Mainz, Germany;
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Andreas Daiber
- Department of Cardiology—Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (O.H.); (M.K.)
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany
- Correspondence: (A.D.); (T.M.); Tel.: +49-(0)61-3117-6280 (A.D.); +49-(0)61-3117-7251 (T.M.)
| | - Thomas Münzel
- Department of Cardiology—Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (O.H.); (M.K.)
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany
- Correspondence: (A.D.); (T.M.); Tel.: +49-(0)61-3117-6280 (A.D.); +49-(0)61-3117-7251 (T.M.)
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13
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Ma S, Xian M, Wang Y, Wang C, Zhang L. Budesonide repairs decreased barrier integrity of eosinophilic nasal polyp epithelial cells caused by PM 2.5. Clin Transl Allergy 2021; 11:e12019. [PMID: 34262692 PMCID: PMC8254582 DOI: 10.1002/clt2.12029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 04/09/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Eosinophilic chronic rhinitis with nasal polyps (eos-CRSwNP) is a subtype of nasal polyps (NPs) characterized by severe type-2 inflammation and defective epithelial barrier function. The epithelial barrier plays important roles in the pathogenesis of NPs and type-2 inflammation. Particular matter 2.5 (PM2.5) are fine particles with a diameter less than 2.5 μm, containing a mixture of different components. Here, we investigated the impact of PM2.5 on the barrier function of the eos-CRSwNP epithelium and explored the reparative function of budesonide. METHODS Samples from noninflammatory nasal mucosa and eos-CRSwNP were collected to establish an in vitro air-liquid interface cultured model. The cells were exposed to PM2.5 at 50 or 100 µg/ml intermittently for 72 h, with or without budesonide pretreatment. Barrier function and tight junction (TJ) expression were reflected by measuring transepithelial resistance (TER), paracellular flux permeability of fluorescein isothiocyanate-labeled 4-kDa dextran, quantitative real-time polymerase chain reaction (qPCR), and immunofluorescence staining of TJ proteins. Cytokine expression was measured by qPCR and enzyme-linked immunosorbent assay or Luminex. RESULTS PM2.5 increased paracellular flux and downregulated TJ protein expression (zona occuldens-1, occludin, and claudin-1), but did not change TER. These changes could be partially restored by budesonide treatment. Interleukin (IL)-8, IL-10, IL-1α, and tissue inhibitor of metalloproteinase (TIMP)-1 concentrations were significantly increased in the culture medium of cells exposed to PM2.5, and budesonide significantly reduced the changes in IL-8, IL-1α, and TIMP-1. CONCLUSION PM2.5 impaired the barrier function of eos-CRSwNP epithelial cells and increased the permeability of large molecules. PM2.5 also increased the secretion of pro-inflammatory cytokines by nasal epithelial cells. Budesonide could partially repair the damage, suggesting potential applications in clinical practice.
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Affiliation(s)
- Siyuan Ma
- Department of Otolaryngology Head and Neck SurgeryBeijing TongRen HospitalCapital Medical UniversityBeijingChina
- Beijing Key Laboratory of Nasal DiseasesBeijing Institute of OtolaryngologyBeijingChina
- Research Unit of Diagnosis and Treatment of Chronic Nasal DiseasesChinese Academy of Medical SciencesBeijingChina
| | - Mu Xian
- Department of Otolaryngology Head and Neck SurgeryBeijing TongRen HospitalCapital Medical UniversityBeijingChina
- Beijing Key Laboratory of Nasal DiseasesBeijing Institute of OtolaryngologyBeijingChina
- Research Unit of Diagnosis and Treatment of Chronic Nasal DiseasesChinese Academy of Medical SciencesBeijingChina
| | - Yang Wang
- Beijing Key Laboratory of Nasal DiseasesBeijing Institute of OtolaryngologyBeijingChina
- Research Unit of Diagnosis and Treatment of Chronic Nasal DiseasesChinese Academy of Medical SciencesBeijingChina
| | - Chengshuo Wang
- Department of Otolaryngology Head and Neck SurgeryBeijing TongRen HospitalCapital Medical UniversityBeijingChina
- Beijing Key Laboratory of Nasal DiseasesBeijing Institute of OtolaryngologyBeijingChina
- Research Unit of Diagnosis and Treatment of Chronic Nasal DiseasesChinese Academy of Medical SciencesBeijingChina
| | - Luo Zhang
- Department of Otolaryngology Head and Neck SurgeryBeijing TongRen HospitalCapital Medical UniversityBeijingChina
- Beijing Key Laboratory of Nasal DiseasesBeijing Institute of OtolaryngologyBeijingChina
- Research Unit of Diagnosis and Treatment of Chronic Nasal DiseasesChinese Academy of Medical SciencesBeijingChina
- Department of AllergyBeijing TongRen HospitalCapital Medical UniversityBeijingChina
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14
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Yao Y, Chen X, Chen W, Wang Q, Fan Y, Han Y, Wang T, Wang J, Qiu X, Zheng M, Que C, Zhu T. Susceptibility of individuals with chronic obstructive pulmonary disease to respiratory inflammation associated with short-term exposure to ambient air pollution: A panel study in Beijing. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 766:142639. [PMID: 33069482 DOI: 10.1016/j.scitotenv.2020.142639] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 09/24/2020] [Accepted: 09/26/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide. There is no clear evidence of whether COPD patients are more susceptible to respiratory inflammation associated with short-term exposure to air pollutants than those without COPD. OBJECTIVES This study directly compared air pollutant-associated respiratory inflammation between COPD patients and healthy controls. METHODS This study is based on the COPDB panel study (COPD in Beijing). Fractional exhaled nitric oxide (FeNO) was repeatedly measured in 53 COPD patients and 82 healthy controls at up to four clinical visits. Concentrations of carbon monoxide (CO), nitrogen monoxide, nitrogen dioxide (NO2), sulfur dioxide (SO2), fine particulate matter (PM2.5), black carbon (BC), ultrafine particles (UFPs), and accumulated-mode particles (Acc) were monitored continuously at a fixed-site monitoring station. Linear mixed-effects models were used to compare the associations between ln-transformed FeNO and average 1-23 h concentrations of air pollutants before the clinical visits. RESULTS FeNO was positively associated with interquartile range (IQR) increases in average concentrations of CO, NO2, SO2, BC, UFPs, and Acc in all participants, with the strongest associations in different time-windows (range from 6.6% for average 1 h NO2 exposure to 32.1% for average 7 h SO2 exposure). Associations between FeNO and average 13-23 h PM2.5 exposure differed significantly according to COPD status. Increases in FeNO associated with average 1-2 h NO exposure were significant in COPD patients (range 8.9-10.2%), while the associations were nonsignificant in healthy controls. Associations between FeNO and average 1-23 h CO and SO2 exposure tended to be higher in COPD patients than in healthy controls, although the differences were not significant. UFPs-associated respiratory inflammation was robust in both subgroups. CONCLUSIONS COPD patients are more susceptible to respiratory inflammation following PM2.5, NO, CO, and SO2 exposure than individuals without COPD.
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Affiliation(s)
- Yuan Yao
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Xi Chen
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China; GRiC, Shenzhen Institute of Building Research Co., Ltd., Shenzhen, China.
| | - Wu Chen
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Qi Wang
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Yunfei Fan
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Yiqun Han
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, Imperial College London, London, UK.
| | - Teng Wang
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Junxia Wang
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Xinghua Qiu
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Mei Zheng
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Chengli Que
- Peking University First Hospital, Peking University, Beijing, China.
| | - Tong Zhu
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
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15
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Wang T, Han Y, Li H, Wang Y, Xue T, Chen X, Chen W, Fan Y, Qiu X, Gong J, Xu Y, Wang J, Li W, Zhu T. Changes in bioactive lipid mediators in response to short-term exposure to ambient air particulate matter: A targeted lipidomic analysis of oxylipin signaling pathways. ENVIRONMENT INTERNATIONAL 2021; 147:106314. [PMID: 33326904 DOI: 10.1016/j.envint.2020.106314] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 11/13/2020] [Accepted: 11/25/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Exposure to ambient air particulate matter (PM) is a risk factor for cardiometabolic diseases. The knowledge of the underlying mechanisms is still evolving, but systemic inflammation and oxidative stress are central to the ability of PM to induce cardiometabolic effects. Oxylipins derived from polyunsaturated fatty acids (PUFAs) are bioactive lipid mediators that have fundamental roles in the signaling of inflammatory events. However, the associations between oxylipins and short-term exposure to PM in humans are unknown. METHODS Using targeted lipidomic analyses, we measured 16 oxylipins derived from lipoxygenase (LOX), cytochrome P450 (CYP), and cyclooxygenase (COX) pathways and their parent PUFAs in serum samples of 110 adults enrolled in a panel study in Beijing, China. Each participant completed 2-7 clinical visits from 2013 to 2015. PM with aerodynamic diameter ≤ 2.5 μm (PM2.5) and ≤ 0.1 μm (ultrafine particles, UFPs) were continuously monitored at a station. Linear mixed-effects models were applied to examine the associations between changes in lipid mediators and exposure to ambient PM during the preceding 1 to 3 days before the clinical visit. RESULTS Serum concentrations of PUFAs, including omega-6 arachidonic acid (ARA) and omega-3 eicosapentaenoic acid (EPA), were significantly increased in association with interquartile range (IQR) increases in PM with different exposure windows (i.e., 1-3 days). Regarding oxylipins, significant PM-associated changes included increases in LOX-derived leukotriene B4 (LTB4), 12(S)-, 15(S)-hydroxyeicosatetraenoic acid (HETE), 12-hydroxyeicosapentaenoic acid (HEPE), and 17-hydroxydocosahexaenoic acid (HDHA); an increase in CYP-derived 5,6-dihydroxyeicosatrienoic acid (DHET); and a decrease in COX-derived prostaglandin E2. CONCLUSIONS Short-term exposure to PM was associated with PUFAs and oxylipins derived from LOX, CYP, and COX pathways in humans. Our findings provide mechanistic insight suggesting bioactive oxylipins might be used as biomarkers and have important implications as mediators of PM-associated systemic cardiometabolic effects.
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Affiliation(s)
- Teng Wang
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Yiqun Han
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China; Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK.
| | - Haonan Li
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Yanwen Wang
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China; National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Tao Xue
- Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
| | - Xi Chen
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China; GRiC, Shenzhen Institute of Building Research Co., Ltd., Shenzhen, China.
| | - Wu Chen
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Yunfei Fan
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Xinghua Qiu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Jicheng Gong
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Yifan Xu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Junxia Wang
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Weiju Li
- Peking University Hospital, Peking University, Beijing, China.
| | - Tong Zhu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
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16
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Gao J, Wei Q, Pan R, Yi W, Xu Z, Duan J, Tang C, He Y, Liu X, Song S, Su H. Elevated environmental PM 2.5 increases risk of schizophrenia relapse: Mediation of inflammatory cytokines. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 753:142008. [PMID: 32892002 DOI: 10.1016/j.scitotenv.2020.142008] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/13/2020] [Accepted: 08/25/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Ecological epidemiology suggests that hospital admissions for schizophrenia are associated with an increased environmental PM2.5, but no prospective study has verified this result, and the physiological mechanism is not clear. METHODS We used a repeated-measures design to prospectively assess the association of environmental PM2.5 and the risk of relapse in schizophrenia, and used two linear mixed-effects models to explore possible mediating effects of immune cytokines on the premise of controlling confounders. RESULTS We import the data using EpiData software, and collate and analyze of the data using R software. The increase of PM2.5 at lag0 had the greatest impact on the relapse of schizophrenia (for each 10 μg/m3 increase in PM2.5, the relapse risk score increased by 1.504, that is to say, odds ratio (OR) = 4.500 (95% confidence interval (CI): 2.849-7.106,P < 0.001)), and cumulative effects lasted for four days with the maximum at the second day (for each 10 μg/m3 increase in PM2.5, the relapse risk score increased by 1.301, OR = 3.673 (95%CI: 1.962-6.876,P < 0.001)). PM2.5 exposure was statistically related to four symptom dimensions of early signs scale (ESS), and the symptoms most affected by the increased PM2.5 were depression/withdrawal (ESSN) (OR = 1.990, 95%CI: 1.701-2.328), anxiety/agitation (ESS-A) (OR = 1.537, 95%CI: 1.340-1.763), initial psychosis (ESS-IP) (OR = 1.398, 95%CI: 1.151-1.697), and disinhibition (ESS-D) (OR = 1.235, 95%CI: 1.133-1.347). Furthermore, there are three statistically significant pathways in intermediary analysis: of PM2.5 and relapse risk: "PM2.5 → IL-17 → ESS", "PM2.5 → IL-17 → ESS-A", and "PM2.5 → IL-17 → ESS-N", and the intermediary ratio of IL-17 was 11.66%, 16.37% and 22.55%, respectively. CONCLUSIONS Increased environmental PM2.5 is a risk factor for the relapse of schizophrenia. Early relapse identification and intervention based on clinical characteristics are of great significance for timely termination of relapse and slowing down of relapse.
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Affiliation(s)
- Jiaojiao Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Qiannan Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Zihan Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Jun Duan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Chao Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Yangyang He
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Xiangguo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Shasha Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China.
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17
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Wu Y, Fu R, Lei C, Deng Y, Lou W, Wang L, Zheng Y, Deng X, Yang S, Wang M, Zhai Z, Zhu Y, Xiang D, Hu J, Dai Z, Gao J. Estimates of Type 2 Diabetes Mellitus Burden Attributable to Particulate Matter Pollution and Its 30-Year Change Patterns: A Systematic Analysis of Data From the Global Burden of Disease Study 2019. Front Endocrinol (Lausanne) 2021; 12:689079. [PMID: 34484113 PMCID: PMC8414895 DOI: 10.3389/fendo.2021.689079] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 07/27/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Epidemiological trends of type 2 diabetes mellitus attributable to fine particulate matter (PM2.5) pollution remain unclear. Here, we estimated spatiotemporal trends of type 2 diabetes mellitus burden attributable to PM2.5 pollution, including ambient particulate matter pollution (APMP) and household air pollution (HAP), from 1990-2019. METHODS Data were obtained from the Global Burden of Disease Study 2019 and were analyzed by age, sex, year, and location. Joinpoint regression analysis was applied in the analysis of temporal trends in type 2 diabetes mellitus burden over the 30 years. RESULTS Globally, PM2.5 pollution contributed to 292.5 thousand deaths and 13 million disability-adjusted life-years (DALYs) in 2019. APMP ranked third among all risk factors, causing an increase in type 2 diabetes mellitus burden from 1990, whereas the impact of HAP significantly fell during the same period. Both APMP and HAP contributed the most to deaths and DALYs of type 2 diabetes mellitus among older people. However, the age-standardized death and DALY rates of type 2 diabetes mellitus attributable to APMP were greater among males and people in the middle socio-demographic index countries, especially in Southern Sub-Saharan Africa. For HAP, type 2 diabetes mellitus burden was modestly higher in females and was highest in Oceania, which was the only region with an increase from 1990. CONCLUSIONS PM2.5 pollution resulted in substantial and increasing type 2 diabetes mellitus burden worldwide. Hence, governments and health systems should take steps to reduce air pollution to mitigate this increasing burden.
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Affiliation(s)
- Ying Wu
- Department of Nephrology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Rongguo Fu
- Department of Nephrology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Chen Lei
- Department of Endocrinology, The General Hospital of Ningxia Medical University, Yinchuan, China
| | - Yujiao Deng
- Department of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Weiyang Lou
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Li Wang
- Department of Nephrology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yi Zheng
- Department of Nephrology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xinyue Deng
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Si Yang
- Department of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Meng Wang
- Department of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Zhen Zhai
- Department of Oncology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yuyao Zhu
- Department of Nephrology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Dong Xiang
- Celilo Cancer Center, Oregon Health Science Center affiliated Mid-Columbia Medical Center, The Dalles, OR, United States
| | - Jingjing Hu
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States
| | - Zhijun Dai
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
- *Correspondence: Jie Gao, ; Zhijun Dai,
| | - Jie Gao
- Department of Nephrology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Jie Gao, ; Zhijun Dai,
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18
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Chen W, Han Y, Wang Y, Chen X, Qiu X, Li W, Yao Y, Zhu T. Associations between changes in adipokines and exposure to fine and ultrafine particulate matter in ambient air in Beijing residents with and without pre-diabetes. BMJ Open Diabetes Res Care 2020; 8:8/2/e001215. [PMID: 33361362 PMCID: PMC7768822 DOI: 10.1136/bmjdrc-2020-001215] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 09/16/2020] [Accepted: 12/04/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE Exposure to particulate matter (PM) is a risk factor to diabetes, but the underlying mechanism is unclear. Adipokines play important roles in glucose metabolism. This study examined the associations between short-term exposure to ambient PM and adipokine levels and evaluated whether metabolic disorders could enhance susceptibility to PM-induced health effects. RESEARCH DESIGN AND METHODS In a panel study (SCOPE, Study Comparing the Cardiometabolic and Respiratory Effects of Air Pollution Exposure on Healthy and Pre-diabetic Individuals) in Beijing, China, 60 pre-diabetic individuals and 60 healthy controls completed two to seven clinical visits. The associations between serum adiponectin, leptin, and resistin levels and the moving average (MA) mass concentration of PM2.5 and number concentrations of ultrafine particles (UFP) and accumulation-mode particles (AMP) during the 1-14 days prior to clinical visits, and the effects of metabolic disorders on any such associations, were evaluated using a linear mixed-effects model. RESULTS Short-term exposure to ambient UFP and AMP was inversely associated with adipokine levels at 1-14 days prior to clinical visits. For example, each IQR increment in 1 day MA UFP exposure (6.0×103/cm3) was associated with -14.0% (95% CI -20.9%, -6.4%), -6.6% (95% CI -12.4%, -0.4%), and -8.5% (95% CI -14.5%, -2.2%) changes in adiponectin, leptin, and resistin levels, respectively. There was no significant association between adipokine levels and PM2.5 exposure. UFP and AMP exposure was associated with a greater decrease in adiponectin level and a weaker change in leptin level among participants with high insulin resistance levels. Glucose status did not modify PM-induced changes in adipokine levels. CONCLUSION High level of insulin resistance could aggravate the adverse metabolic impact of exposure to UFP and AMP.
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Affiliation(s)
- Wu Chen
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing, China
| | - Yiqun Han
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing, China
- Department of Epidemiology and Biostatistics, MRC Center for Environment and Health, Imperial College London, London, UK
| | - Yanwen Wang
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing, China
| | - Xi Chen
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing, China
| | - Xinghua Qiu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing, China
| | - Weiju Li
- Peking University Hospital, Peking University, Beijing, China
| | - Yuan Yao
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing, China
| | - Tong Zhu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health, Peking University, Beijing, China
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Chen X, Liu F, Niu Z, Mao S, Tang H, Li N, Chen G, Liu S, Lu Y, Xiang H. The association between short-term exposure to ambient air pollution and fractional exhaled nitric oxide level: A systematic review and meta-analysis of panel studies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 265:114833. [PMID: 32544661 DOI: 10.1016/j.envpol.2020.114833] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 05/15/2020] [Accepted: 05/16/2020] [Indexed: 05/27/2023]
Abstract
Several epidemiological studies have evaluated the fractional exhaled nitric oxide (FeNO) of ambient air pollution but the results were controversial. We therefore conducted a systematic review and meta-analysis to investigate the associations between short-term exposure to air pollutants and FeNO level. We searched PubMed and Web of Science and included a total of 27 articles which focused on associations between ambient air pollutants (PM10, PM2.5, black carbon (BC), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3)) exposure and the change of FeNO. Random effect model was used to calculate the percent change of FeNO in association with a 10 or 1 μg/m3 increase in air pollutants exposure concentrations. A 10 μg/m3 increase in short-term PM10, PM2.5, NO2, and SO2 exposure was associated with a 3.20% (95% confidence interval (95%CI): 1.11%, 5.29%), 2.25% (95%CI: 1.51%, 2.99%),4.90% (95%CI: 1.98%, 7.81%), and 8.28% (95%CI: 3.61%, 12.59%) change in FeNO, respectively. A 1 μg/m3 increase in short-term exposure to BC was associated with 3.42% (95%CI: 1.34%, 5.50%) change in FeNO. The association between short-term exposure to O3 and FeNO level was insignificant (P>0.05). Future studies are warranted to investigate the effect of multiple pollutants, different sources and composition of air pollutants on airway inflammation.
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Affiliation(s)
- Xiaolu Chen
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Feifei Liu
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Zhiping Niu
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Shuyuan Mao
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Hong Tang
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Na Li
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Gongbo Chen
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Suyang Liu
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Yuanan Lu
- Environmental Health Laboratory, Department of Public Health Sciences, University Hawaii at Manoa, 1960, East West Rd, Biomed Bldg, D105, Honolulu, USA
| | - Hao Xiang
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China.
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20
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Wang M, Jin Y, Dai T, Yu C, Zheng S, Nie Y, Bai Y. Association between ambient particulate matter (PM 10) and incidence of diabetes in northwest of China: A prospective cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 202:110880. [PMID: 32590207 DOI: 10.1016/j.ecoenv.2020.110880] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 05/28/2020] [Accepted: 06/08/2020] [Indexed: 05/06/2023]
Abstract
OBJECTIVES We aimed to assess the association between long-term exposure to ambient PM10 and risk of diabetes incidence, based on the "Jinchang Cohort" platform in the Northwest of China. METHODS We selected 19884 subjects who had not yet developed diabetes in the baseline and had completed survey information from "Jinchang Cohort". The residential address was used to match the nearest pollution monitoring station for each subject, and the average concentration of PM10 from baseline to follow-up were used as an estimate of individual exposure level. Cox regression model and restricted cubic splines functions were used to evaluate the effects of PM10 on the incidence of diabetes and the dose-response relationship after adjusting for confounding covariates. RESULTS We observed 791 new-onset diabetics with a total follow-up of 45254.16 person-years (incidence rate of 17.48 per 1000 person-years). The risk of diabetes incidence increased by 17% (HR = 1.17, 95%CI: 1.08-1.26) per 10μg/m3 increase in environmental PM10, and the risk rises gradually with the rise of PM10 concentration. Comparing with the first quartile of PM10, the fully adjusted HRs (95%CI) for incident diabetes from the second to the fourth quartile of PM10 were 1.15 (95%CI: 0.93-1.43), 1.50 (95%CI: 1.22-1.84) and 1.44 (95%CI: 1.15-1.79), respectively (P for trend<0.001). Stratified analyses suggested that the risk of diabetes incidence associated with ambient PM10 was higher in female, young to middle-aged people, overweight and obese subjects, and subjects with FPG level at baseline lower than 5.6 mmol/L. CONCLUSIONS Long-term exposure to ambient PM10 significantly associated with a higher risk of diabetes development. Some urgent strategies may be advocated to reduce air pollution that can aid in preventing the prevalence of diabetes in the population.
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Affiliation(s)
- Minzhen Wang
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
| | - Yafei Jin
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Tian Dai
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Cheng Yu
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Shan Zheng
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Yonghong Nie
- Jinchang Center for Disease Prevention and Control, Jinchang, 737100, China
| | - Yana Bai
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
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21
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Zhang H, Han Y, Qiu X, Wang Y, Li W, Liu J, Chen X, Li R, Xu F, Chen W, Yang Q, Fang Y, Fan Y, Wang J, Zhang H, Zhu T. Association of internal exposure to polycyclic aromatic hydrocarbons with inflammation and oxidative stress in prediabetic and healthy individuals. CHEMOSPHERE 2020; 253:126748. [PMID: 32464779 DOI: 10.1016/j.chemosphere.2020.126748] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 04/02/2020] [Accepted: 04/06/2020] [Indexed: 06/11/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are key air pollutants that may contribute to the risk of numerous diseases by inducing inflammation and oxidative stress. Individuals with metabolic disorders may be more susceptible to PAH-induced inflammation and oxidative stress. To test this hypothesis, we designed a panel study involving 60 patients with pre-type 2 diabetes (pre-T2D) and 60 reference participants, and conducted up to seven repeated clinical examinations. Urinary metabolites of PAHs (i.e., OH-PAHs), measured as indicators of total PAH exposure, showed significant associations with markers of respiratory and systemic inflammation, including exhaled nitric oxide, interleukin (IL)-6 in exhaled breath condensate, and blood IL-2 and IL-8 levels and leucocyte count. The most significant effect was on urinary malondiadehyde (MDA), a marker of lipid peroxidation; a onefold increase of OH-PAHs was associated with 9.2-46.0% elevation in MDA in pre-T2D participants and 9.8-31.2% increase in healthy references. Pre-T2D participants showed greater increase in MDA, suggesting that metabolic disorder enhanced the oxidative damage induced by PAH exposure. This study revealed the association between PAH exposure and markers of inflammation and oxidative stress, and the enhanced responses of pre-T2D patients suggested that individuals with metabolic disorders were more susceptible to the adverse health effects of PAH exposure.
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Affiliation(s)
- Hanxiyue Zhang
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China
| | - Yiqun Han
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, Imperial College London, London, UK
| | - Xinghua Qiu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China.
| | - Yanwen Wang
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China
| | - Weiju Li
- Peking University Hospital, Peking University, Beijing, 100871, PR China
| | - Jinming Liu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China
| | - Xi Chen
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China
| | - Ran Li
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China
| | - Fanfan Xu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China
| | - Wu Chen
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China
| | - Qiaoyun Yang
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China
| | - Yanhua Fang
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China
| | - Yunfei Fan
- Peking University Hospital, Peking University, Beijing, 100871, PR China
| | - Junxia Wang
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China
| | - Hongyin Zhang
- Peking University Hospital, Peking University, Beijing, 100871, PR China
| | - Tong Zhu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, And Center for Environment and Health, Peking University, Beijing, 100871, PR China
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22
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Zhang L, An J, Tian X, Liu M, Tao L, Liu X, Wang X, Zheng D, Guo X, Luo Y. Acute effects of ambient particulate matter on blood pressure in office workers. ENVIRONMENTAL RESEARCH 2020; 186:109497. [PMID: 32304927 DOI: 10.1016/j.envres.2020.109497] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 03/10/2020] [Accepted: 04/06/2020] [Indexed: 06/11/2023]
Abstract
Exposure to ambient particulate matter with a diameter of <2.5 μm (PM2.5) has been linked to increases in blood pressure. The aim of this study was to assess the effects of short-term exposure to PM2.5 on blood pressure in office workers in Beijing, China. A total of 4801 individuals aged 18-60 years underwent an annual medical examination between 2013 and 2017. Levels of air pollutants were obtained from 35 fixed monitoring stations and correlated with the employment location of each participant to predict personal exposure via kriging interpolation. Linear mixed-effects models were used to estimate the changes in blood pressure associated with PM2.5 exposure at various lag times. After adjusting for personal characteristics and other potential confounders, each interquartile range increase in PM2.5 was associated with a 0.413-mmHg (95% confidence interval [CI]: 0.252-0.573), 0.171-mmHg (95% CI: 0.053-0.288), 0.278-mmHg (95% CI: 0.152-0.404), and 0.241-mmHg (95% CI: 0.120-0.362) increase in systolic blood pressure, diastolic blood pressure, pulse pressure, and mean arterial pressure, respectively (p < 0.05). Men, individuals previously diagnosed with hypertension, and subjects working in the northern districts of Beijing had larger changes in blood pressure, and the effect sizes were 0.477-mmHg (95% CI: 0.286-0.669), 0.851-mmHg (95% CI: 0.306-1.397, and 0.672-mmHg (95% CI: 0.405-0.940). The findings suggested that exposure to PM2.5 had adverse effects on blood pressure, especially among males and hypertensive patients.
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Affiliation(s)
- Licheng Zhang
- School of Public Health, Capital Medical University & Beijing Municipal Key Laboratory of Clinical Epidemiology, No.10 Xitoutiao, Youanmen Wai Street, Fengtai District, Beijing, 100069, China
| | - Ji An
- School of Public Health, Capital Medical University & Beijing Municipal Key Laboratory of Clinical Epidemiology, No.10 Xitoutiao, Youanmen Wai Street, Fengtai District, Beijing, 100069, China
| | - Xue Tian
- School of Public Health, Capital Medical University & Beijing Municipal Key Laboratory of Clinical Epidemiology, No.10 Xitoutiao, Youanmen Wai Street, Fengtai District, Beijing, 100069, China
| | - Mengyang Liu
- School of Public Health, Capital Medical University & Beijing Municipal Key Laboratory of Clinical Epidemiology, No.10 Xitoutiao, Youanmen Wai Street, Fengtai District, Beijing, 100069, China
| | - Lixin Tao
- School of Public Health, Capital Medical University & Beijing Municipal Key Laboratory of Clinical Epidemiology, No.10 Xitoutiao, Youanmen Wai Street, Fengtai District, Beijing, 100069, China
| | - Xiangtong Liu
- School of Public Health, Capital Medical University & Beijing Municipal Key Laboratory of Clinical Epidemiology, No.10 Xitoutiao, Youanmen Wai Street, Fengtai District, Beijing, 100069, China
| | - Xiaonan Wang
- School of Public Health, Capital Medical University & Beijing Municipal Key Laboratory of Clinical Epidemiology, No.10 Xitoutiao, Youanmen Wai Street, Fengtai District, Beijing, 100069, China
| | - Deqiang Zheng
- School of Public Health, Capital Medical University & Beijing Municipal Key Laboratory of Clinical Epidemiology, No.10 Xitoutiao, Youanmen Wai Street, Fengtai District, Beijing, 100069, China
| | - Xiuhua Guo
- School of Public Health, Capital Medical University & Beijing Municipal Key Laboratory of Clinical Epidemiology, No.10 Xitoutiao, Youanmen Wai Street, Fengtai District, Beijing, 100069, China
| | - Yanxia Luo
- School of Public Health, Capital Medical University & Beijing Municipal Key Laboratory of Clinical Epidemiology, No.10 Xitoutiao, Youanmen Wai Street, Fengtai District, Beijing, 100069, China.
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