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Jia Y, He Z, Liu F, Li J, Liang F, Huang K, Chen J, Cao J, Li H, Shen C, Yu L, Liu X, Hu D, Huang J, Zhao Y, Liu Y, Lu X, Gu D, Chen S. Dietary intake changes the associations between long-term exposure to fine particulate matter and the surrogate indicators of insulin resistance. Environ Int 2024; 186:108626. [PMID: 38626493 DOI: 10.1016/j.envint.2024.108626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 03/31/2024] [Accepted: 04/02/2024] [Indexed: 04/18/2024]
Abstract
The relationship of fine particulate matter (PM2.5) exposure and insulin resistance remains inclusive. Our study aimed to investigate this association in the project of Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR). Specifically, we examined the associations between long-term PM2.5 exposure and three surrogate indicators of insulin resistance: the triglyceride-glucose index (TyG), TyG with waist circumference (TyG-WC) and metabolic score for insulin resistance (METS-IR). Additionally, we explored potential effect modification of dietary intake and components. Generalized estimating equations were used to evaluate the associations between PM2.5 and the indicators with an unbalanced repeated measurement design. Our analysis incorporated a total of 162,060 observations from 99,329 participants. Each 10 μg/m3 increment of PM2.5 was associated with an increase of 0.22 % [95 % confidence interval (CI): 0.20 %, 0.25 %], 1.60 % (95 % CI: 1.53 %, 1.67 %), and 2.05 % (95 % CI: 1.96 %, 2.14 %) in TyG, TyG-WC, and METS-IR, respectively. These associations were attenuated among participants with a healthy diet, particularly those with sufficient intake of fruit and vegetable, fish or tea (pinteraction < 0.0028). For instance, among participants with a healthy diet, TyG increased by 0.11 % (95 % CI: 0.08 %, 0.15 %) per 10 μg/m3 PM2.5 increment, significantly lower than the association observed in those with an unhealthy diet. The findings of this study emphasize the potential of a healthy diet to mitigate these associations, highlighting the urgency for improving air quality and implementing dietary interventions among susceptible populations in China.
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Affiliation(s)
- Yanhui Jia
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China; Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Zhi He
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Fengchao Liang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Jichun Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Hongfan Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Chong Shen
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Ling Yu
- Department of Cardiology, Fujian Provincial Hospital, Fuzhou 350014, China
| | - Xiaoqing Liu
- Division of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou 510080, China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University, Shenzhen 518060, China
| | - Jianfeng Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong First Medical University (Shandong Academy of Medicine Sciences), Jinan 271099, China
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China
| | - Dongfeng Gu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China; School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing 100037, China.
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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. Environ Res 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] [What about the content of this article? (0)] [Affiliation(s)] [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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Song L, Gao Y, Tian J, Liu N, Nasier H, Wang C, Zhen H, Guan L, Niu Z, Shi D, Zhang H, Zhao L, Zhang Z. The mediation effect of asprosin on the association between ambient air pollution and diabetes mellitus in the elderly population in Taiyuan, China. Environ Sci Pollut Res Int 2024; 31:19674-19686. [PMID: 38363509 DOI: 10.1007/s11356-024-32255-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 01/25/2024] [Indexed: 02/17/2024]
Abstract
Evidence around the relationship between air pollution and the development of diabetes mellitus (DM) remains limited and inconsistent. To investigate the potential mediation effect of asprosin on the association between fine particulate matter (PM2.5), tropospheric ozone (O3) and blood glucose homeostasis. A case-control study was conducted on a total of 320 individuals aged over 60 years, including both diabetic and non-diabetic individuals, from six communities in Taiyuan, China, from July to September 2021. Generalized linear models (GLMs) suggested that short-term exposure to PM2.5 was associated with elevated fasting blood glucose (FBG), insulin resistance index (HOMA-IR), as well as reduced pancreatic β-cell function index (HOMA-β), and short-term exposure to O3 was associated with increased FBG and decreased HOMA-β in the total population and elderly diabetic patients. Mediation analysis showed that asprosin played a mediating role in the relationship of PM2.5 and O3 with FBG, with mediating ratios of 10.2% and 18.4%, respectively. Our study provides emerging evidence supporting that asprosin mediates the short-term effects of exposure to PM2.5 and O3 on elevated FBG levels in an elderly population. Additionally, the elderly who are diabetic, over 70 years, and BMI over 24 kg/m2 are more vulnerable to air pollutants and need additional protection to reduce their exposure to air pollution.
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Affiliation(s)
- Lulu Song
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China
| | - Yuhui Gao
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China
| | - Jiayu Tian
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China
| | - Nannan Liu
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China
| | - Halimaimaiti Nasier
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China
| | - Caihong Wang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China
| | - Huiqiu Zhen
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China
| | - Linlin Guan
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China
| | - Zeyu Niu
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China
| | - Dongxing Shi
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China
| | - Hongmei Zhang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China
| | - Lifang Zhao
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China
| | - Zhihong Zhang
- Department of Environmental Health, School of Public Health, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China.
- Center for Ecological Public Health Security of Yellow River Basin, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, China.
- Key Laboratory of Coal Environmental Pathogenicity and Prevention Shanxi Medical University, Ministry of Education, Taiyuan, China.
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Gong X, Wang S, Wang X, Zhong S, Yuan J, Zhong Y, Jiang Q. Long-term exposure to air pollution and risk of insulin resistance: A systematic review and meta-analysis. Ecotoxicol Environ Saf 2024; 271:115909. [PMID: 38199220 DOI: 10.1016/j.ecoenv.2023.115909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/25/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024]
Abstract
OBJECTIVE The effects of air pollution on metabolism have become a popular research topic, and a large number of studies had confirmed that air pollution exposure could induce insulin resistance (IR) to varying degrees, but the results were inconsistent, especially for the long-term exposures. The aim of the current study was to further investigate the potential effects of air pollution on IR. METHODS A systematic review and meta-analysis of four electronic databases, including PubMed, Embase, Web of Science and Cochrane were conducted, searching for relevant studies published before June 10, 2023, in order to explore the potential relationships between long-term exposure to air pollution and IR. A total of 10 studies were included for data analysis, including seven cohort studies and three cross-sectional studies. Four major components of air pollution, including PM2.5 (particulate matter with an aerodynamic diameter of 2.5 µm or less), PM10 (particulate matter with an aerodynamic diameter of 10 µm or less), NO2, and SO2 were selected, and each analyzed for the potential impacts on insulin resistance, in the form of adjusted percentage changes in the homeostasis assessment model of insulin resistance (HOMA-IR). RESULTS This systematic review and meta-analysis showed that for every 1 μg/m³ increase in the concentration of selected air pollutants, PM2.5 induced a 0.40% change in HOMA-IR (95%CI: -0.03, 0.84; I2 =67.4%, p = 0.009), while PM10 induced a 1.61% change (95%CI: 0.243, 2.968; I2 =49.1%, p = 0.001). Meanwhile, the change in HOMA-IR due to increased NO2 or SO2 exposure concentration was only 0.09% (95%CI: -0.01, 0.19; I2 =83.2%, p = 0.002) or 0.01% (95%CI: -0.04, 0.06; I2 =0.0%, p = 0.638), respectively. CONCLUSIONS Long-term exposures to PM2.5, PM10, NO2 or SO2 are indeed associated with the odds of IR. Among the analyzed pollutants, inhalable particulate matters appear to exert greater impacts on IR.
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Affiliation(s)
- Xinxian Gong
- Department of Toxicology, School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, China
| | - Siyi Wang
- Department of Toxicology, School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, China
| | - Xiaokang Wang
- Department of Cardiac Surgery, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Shuping Zhong
- Department of Toxicology, School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, China
| | - Junhua Yuan
- Department of Special Medicine, School of Basic Medicine, Qingdao University, 308 Ningxia Road, Qingdao, China
| | - Yuxu Zhong
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, 27 Taiping Road, Beijing, China.
| | - Qixiao Jiang
- Department of Toxicology, School of Public Health, Qingdao University, 308 Ningxia Road, Qingdao, China.
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Luo J, Kibriya MG, Jasmine F, Shaikh A, Jin Z, Sargis R, Kim K, Olopade CO, Pinto J, Ahsan H, Aschebrook-Kilfoy B. Duration-sensitive association between air pollution exposure and changes in cardiometabolic biomarkers: Evidence from a predominantly African American cohort. Environ Res 2024; 240:117496. [PMID: 37884074 PMCID: PMC10872637 DOI: 10.1016/j.envres.2023.117496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 10/20/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND Ambient fine particulate matter (PM2.5) exposure has been related to cardiometabolic diseases, but the underlying biological pathways remain unclear at the population level. OBJECTIVE To investigate the effect of PM2.5 exposure on changes in multiple cardiometabolic biomarkers across different exposure durations. METHOD Data from a prospective cohort study were analyzed. Ten cardiometabolic biomarkers were measured, including ghrelin, resistin, leptin, C-peptide, creatine kinase myocardial band (CK-MB), monocyte chemoattractant protein-1 (MCP-1), tumor necrosis factor alpha (TNF-alpha), N-terminal pro B-type natriuretic peptide (NT-proBNP), troponin, and interleukin-6 (IL-6). PM2.5 levels across exposure durations from 1 to 36 months were assessed. Mixed effect model was used to estimate changes in biomarker levels against 1 μg/m3 increase in PM2.5 level across different exposure durations. RESULTS Totally, 641 participants were included. The average PM2.5 exposure level was 9 μg/m3. PM2.5 exposure was inversely associated with ghrelin, and positively associated with all other biomarkers. The magnitudes of these associations were duration-sensitive and exhibited a U-shaped or inverted-U-shaped trend. For example, the association of resistin were β = 0.05 (95% CI: 0.00, 0.09) for 1-month duration, strengthened to β = 0.27 (95% CI: 0.14, 0.41) for 13-month duration, and weakened to β = 0.12 (95% CI: -0.03, 0.26) for 24-month duration. Similar patterns were observed for other biomarkers except for CK-MB, of which the association direction switched from negative to positive as the duration increased. Resistin, leptin, MCP-1, TNF-alpha, and troponin had a sensitive exposure duration of nearly 12 months. Ghrelin and C-peptide were more sensitive to longer-term exposure (>18 months), while NT-proBNP and IL-6 were more sensitive to shorter-term exposure (<6 months). CONCLUSION PM2.5 exposure was associated with elevated levels in cardiometabolic biomarkers related to insulin resistance, inflammation, and heart injury. The magnitudes of these associations depended on the exposure duration. The most sensitive exposure durations of different biomarkers varied.
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Affiliation(s)
- Jiajun Luo
- Department of Public Health Sciences, The University of Chicago, United States; Institute for Population and Precision Health, The University of Chicago, United States
| | - Muhammad G Kibriya
- Department of Public Health Sciences, The University of Chicago, United States; Institute for Population and Precision Health, The University of Chicago, United States
| | - Farzana Jasmine
- Institute for Population and Precision Health, The University of Chicago, United States
| | - Afzal Shaikh
- Institute for Population and Precision Health, The University of Chicago, United States
| | - Zhihao Jin
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, United States
| | - Robert Sargis
- College of Medicine, University of Illinois Chicago, United States
| | - Karen Kim
- Department of Medicine, The University of Chicago, United States
| | | | - Jayant Pinto
- Department of Medicine, The University of Chicago, United States
| | - Habibul Ahsan
- Department of Public Health Sciences, The University of Chicago, United States; Institute for Population and Precision Health, The University of Chicago, United States
| | - Briseis Aschebrook-Kilfoy
- Department of Public Health Sciences, The University of Chicago, United States; Institute for Population and Precision Health, The University of Chicago, United States.
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Friedman C, Dabelea D, Glueck DH, Allshouse WB, Adgate JL, Keller KP, Martenies SE, Magzamen S, Starling AP. Early-life exposure to residential black carbon and childhood cardiometabolic health. Environ Res 2023; 239:117285. [PMID: 37832765 PMCID: PMC10842121 DOI: 10.1016/j.envres.2023.117285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 09/08/2023] [Accepted: 09/30/2023] [Indexed: 10/15/2023]
Abstract
BACKGROUND Early life exposure to air pollution, such as particulate matter ≤2.5 μm (PM2.5), may be associated with obesity and adverse cardiometabolic health outcomes in childhood. However, the toxicity of PM2.5 varies according to its chemical composition. Black carbon (BC) is a constituent of PM2.5, but few studies have examined its impact on childhood cardiometabolic health. Therefore, we examined relationships between prenatal and early childhood exposure to BC and markers of adiposity and cardiometabolic health in early childhood. METHODS This study included 578 mother-child pairs enrolled in the Healthy Start study (2009-2014) living in the Denver-metro area. Using a spatiotemporal prediction model, we assessed average residential black carbon levels during pregnancy and in the year prior to the early childhood follow-up visit at approximately 5 years old. We estimated associations between prenatal and early childhood BC and indicators of adiposity and cardiometabolic biomarkers in early childhood (mean 4.8 years; range, 4.0, 8.3), using linear regression. RESULTS We found higher early childhood BC was associated with higher percent fat mass, fat mass index, insulin, and homeostatic model assessment for insulin resistance (HOMA-IR), and lower leptin and waist circumference at approximately 5 years old, after adjusting for covariates. For example, per interquartile range (IQR) increase in early childhood BC (IQR, 0.49 μg/m3) there was 3.32% higher fat mass (95% CI; 2.05, 4.49). Generally, we did not find consistent evidence of associations between prenatal BC and cardiometabolic health outcomes in early childhood, except for an inverse association between prenatal BC and adiponectin, an adipocyte-secreted hormone typically inversely associated with adiposity. CONCLUSIONS Higher early childhood, but not in utero, ambient concentrations of black carbon, a component of air pollution, were associated with greater adiposity and altered insulin homeostasis at approximately 5 years old. Future studies should examine whether these changes persist later in life.
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Affiliation(s)
- Chloe Friedman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kayleigh P Keller
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Sheena E Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Epidemiology, Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Alterman N, Youssim I, Nevo D, Calderon-Margalit R, Yuval, Broday D, Hauzer M, Raz R. Prenatal and postnatal exposure to NO 2 and rapid infant weight gain - A population-based cohort study. Paediatr Perinat Epidemiol 2023; 37:669-678. [PMID: 37565531 DOI: 10.1111/ppe.13000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 07/07/2023] [Accepted: 07/29/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND Childhood overweight and obesity is a global public health problem. Rapid infant weight gain is predictive of childhood overweight. Studies found that exposure to ambient air pollution is associated with childhood overweight, and have linked prenatal exposure to air pollution with rapid infant weight gain. OBJECTIVES To examine the association between prenatal and postnatal ambient NO2 exposure, a traffic-related marker, with rapid weight gain in infants. METHODS We carried out a population-based historical cohort study using data from the Israeli national network of maternal and child health clinics. The study included 474,136 infants born at term with birthweight ≥2500 g in 2011-2019 in central Israel. Weekly averages of NO2 concentration throughout pregnancy (prenatal) and the first 4 weeks of life (postnatal) were assessed using an optimized dispersion model and were linked to geocoded home addresses. We modelled weight gain velocity throughout infancy using the SuperImposition by Translation and Rotation (SITAR) method, a mixed-effects nonlinear model specialized for modelling growth curves, and defined rapid weight gain as the highest velocity tertile. Distributed-lag models were used to assess critical periods of risk and to measure relative risks for rapid weight gain. Adjustments were made for socioeconomic status, population group, subdistrict, month and year of birth, and the alternate exposure period - prenatal or postnatal. RESULTS The cumulative adjusted relative risk for rapid weight gain of NO2 exposure was 1.02 (95% confidence intereval [CI] 1.00, 1.04) for exposure throughout pregnancy and 1.02 (95% CI 1.01, 1.04) for exposure during the first four postnatal weeks per NO2 interquartile range increase (7.3 ppb). An examination of weekly associations revealed that the critical period of risk for the prenatal exposure was from mid-pregnancy to birth. CONCLUSIONS Prenatal and postnatal exposures to higher concentrations of traffic-related air pollution are each independently associated with rapid infant weight gain, a risk factor for childhood overweight and obesity.
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Affiliation(s)
- Neora Alterman
- Braun School of Public Health and Community Medicine, The Hebrew University at Jerusalem - Hadassah, Jerusalem, Israel
| | - Iaroslav Youssim
- Braun School of Public Health and Community Medicine, The Hebrew University at Jerusalem - Hadassah, Jerusalem, Israel
| | - Daniel Nevo
- Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel
| | - Ronit Calderon-Margalit
- Braun School of Public Health and Community Medicine, The Hebrew University at Jerusalem - Hadassah, Jerusalem, Israel
| | - Yuval
- Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa, Israel
| | - David Broday
- Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa, Israel
| | - Michael Hauzer
- Bonen Clinic, Haifa and Western Galilee District, Israel
- Clalit Health Services Community Division, Haifa, Israel
| | - Raanan Raz
- Braun School of Public Health and Community Medicine, The Hebrew University at Jerusalem - Hadassah, Jerusalem, Israel
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8
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Pan SC, Huang CC, Chen BY, Chin WS, Guo YL. Risk of type 2 diabetes after diagnosed gestational diabetes is enhanced by exposure to PM2.5. Int J Epidemiol 2023; 52:1414-1423. [PMID: 37229603 DOI: 10.1093/ije/dyad071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 05/11/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Air pollution and gestational diabetes mellitus (GDM) are both associated with increased diabetes mellitus (DM) occurrence. However, whether air pollutants modify the effects of GDM on the occurrence of DM has been unknown. This study aims to determine whether the effect of GDM on DM development can be modified by exposure to ambient air pollutants. METHODS Women with one singleton birth delivery during 2004-14 according to the Taiwan Birth Certificate Database (TBCD) were included as the study cohort. Those newly diagnosed as having DM 1 year or later after childbirth were identified as DM cases. Controls were selected among women without DM diagnosis during follow-up. Personal residence was geocoded and linked with interpolated concentrations of air pollutants into township levels. Conditional logistic regression was used to determine the odds ratio (OR) of pollutant exposure and GDM, adjusting for age, smoking and meteorological variables. RESULTS There were 9846 women who were newly diagnosed as having DM over a mean follow-up period of 10.2 years. We involved them and the 10-fold matching controls involved in our final analysis. The OR (odds ratio) (95% confidence interval, 95% CI) of DM occurrence per interquartile range increased in particulate matter (PM) smaller than or equal to 2.5 µm (PM2.5) and ozone (O3) was 1.31 (1.22-1.41) and 1.20 (1.16-1.25), respectively. The effects of PM exposure on DM development were significantly higher in the GDM group (OR: 2.46, 95% CI: 1.84-3.30) than in the non-GDM group (OR: 1.30, 95% CI: 1.21-1.40). CONCLUSIONS Exposure to high levels of PM2.5 and O3 elevates the risk of DM. GDM acted synergistically in DM development with exposure to PM2.5 but not with that to O3.
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Affiliation(s)
- Shih-Chun Pan
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Ching-Chun Huang
- Environmental and Occupational Medicine, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan
- Environmental and Occupational Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan
| | - Bing-Yu Chen
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Wei-Shan Chin
- School of Nursing, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan
| | - Yue Leon Guo
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan
- Environmental and Occupational Medicine, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan
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9
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Li BA, Li BM, Bao Z, Li Q, Xing M, Li B. Dichlorodiphenyltrichloroethane for Malaria and Agricultural Uses and Its Impacts on Human Health. Bull Environ Contam Toxicol 2023; 111:45. [PMID: 37730942 DOI: 10.1007/s00128-023-03789-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 08/12/2023] [Indexed: 09/22/2023]
Abstract
Pesticides are widely used in agriculture and disease control, and dichlorodiphenyltrichloroethane (DDT) is one of the most used pesticides in human history. Besides its significant contributions in pest control in agriculture, DDT was credited as having saved millions of human lives for controlling malaria and other deadly insect-transmitted diseases. Even today, the use of DDT in some countries for malaria control cannot be replaced without endangering people who live there. The recent COVID-19 pandemic has changed our lives and reminded us of the challenges in dealing with infectious diseases, especially deadly ones including malaria. However, DDT and its metabolites are stable, persist long, are found in almost every corner of the world, and their persistent effects on humans, animals, and the environment must be seriously considered. This review will focus on the history of DDT use for agriculture and malaria control, the pathways for the spread of DDT, benefits and risks of DDT use, DDT exposure to animals, humans, and the environment, and the associated human health risks. These knowledge and findings of DDT will benefit the selection and management of pesticides worldwide.
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Affiliation(s)
- Benjamin A Li
- Department of Orthopaedics, School of Medicine, West Virginia University, Morgantown, 26506-9196, WV, USA
- Morgantown High School, Morgantown, WV, USA
| | | | - Zhenghong Bao
- Department of Orthopaedics, School of Medicine, West Virginia University, Morgantown, 26506-9196, WV, USA
| | - Qingyang Li
- Department of Orthopaedics, School of Medicine, West Virginia University, Morgantown, 26506-9196, WV, USA
| | - Malcolm Xing
- Department of Mechanical Engineering, University of Manitoba, and The Children's Hospital Research Institute of Manitoba, MB, Winnipeg, Canada
| | - Bingyun Li
- Department of Orthopaedics, School of Medicine, West Virginia University, Morgantown, 26506-9196, WV, USA.
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10
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Kruger EM, Shehata SA, Toraih EA, Abdelghany AA, Fawzy MS. Type 2 diabetes and thyroid cancer: Synergized risk with rising air pollution. World J Diabetes 2023; 14:1037-1048. [PMID: 37547591 PMCID: PMC10401455 DOI: 10.4239/wjd.v14.i7.1037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/28/2023] [Accepted: 05/30/2023] [Indexed: 07/12/2023] Open
Abstract
Diabetes is a complex condition, and the causes are still not fully understood. However, a growing body of evidence suggests that exposure to air pollution could be linked to an increased risk of diabetes. Specifically, exposure to certain pollutants, such as particulate Matter and Ozone, has been associated with higher rates of diabetes. At the same time, air pollution has also been linked to an increased risk of thyroid cancer. While there is less evidence linking air pollution to thyroid cancer than to diabetes, it is clear that air pollution could have severe implications for thyroid health. Air pollution could increase the risk of diabetes and thyroid cancer through several mechanisms. For example, air pollution could increase inflammation in the body, which is linked to an increased risk of diabetes and thyroid cancer. Air pollution could also increase oxidative stress, which is linked to an increased risk of diabetes and thyroid cancer. Additionally, air pollution could increase the risk of diabetes and thyroid cancer by affecting the endocrine system. This review explores the link between diabetes and air pollution on thyroid cancer. We will discuss the evidence for an association between air pollution exposure and diabetes and thyroid cancer, as well as the potential implications of air pollution for thyroid health. Given the connections between diabetes, air pollution, and thyroid cancer, it is essential to take preventive measures to reduce the risk of developing the condition.
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Affiliation(s)
- Eva M Kruger
- School of Medicine, Tulane University, New Orleans, LA 70112, United States
| | - Shaimaa A Shehata
- Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Eman A Toraih
- Division of Endocrine and Oncologic Surgery, Department of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, United States
- Genetics Unit, Department of Histology and Cell Biology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Ahmed A Abdelghany
- Department of Ophthalmology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Manal S Fawzy
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
- Department of Biochemistry, Faculty of Medicine, Northern Border University, Arar 1321, Saudi Arabia
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11
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Peng H, Wang M, Wang S, Wang X, Fan M, Qin X, Wu Y, Chen D, Li J, Hu Y, Wu T. KCNQ1 rs2237892 polymorphism modify the association between short-term ambient particulate matter exposure and fasting blood glucose: A family-based study. Science of The Total Environment 2023; 876:162820. [PMID: 36921852 DOI: 10.1016/j.scitotenv.2023.162820] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 03/08/2023] [Accepted: 03/08/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND The association between particulate matter and fasting blood glucose (FBG) has shown conflicting results. Genome-wide association studies have shown that KCNQ1 rs2237892 polymorphism is associated with the risk of diabetes. Whether KCNQ1 rs2237892 polymorphism might modify the association between particulate matter and FBG is still uncertain. METHODS Data collected from a family-based cohort study in Northern China, were used to perform the analysis. A generalized additive Gaussian model was used to examine the short-term effects of air pollutants on FBG. We further conducted interaction analyses by including a cross-product term of air pollutants by rs2237892 within KCNQ1 gene. RESULTS A total of 4418 participants were included in the study. In the single pollutant model, the FBG level increased 0.0031 mmol/L with per 10 μg/m3 elevation in fine particular matter (PM2.5) for lag 0 day. After additional adjustments for nitrogen dioxide (NO2) and sulfur dioxide (SO2), similar results were observed for lag 0-2 days. As for particulate matter with particle size below 10 μm (PM10), the significant association between the daily average concentration of the pollutant and FBG level was observed for lag 0-3 days. Additionally, rs2237892 in KCNQ1 gene modified the association between PM and FBG level. The higher risk of FBG levels associated with elevations in PM10 and PM2.5 were more evident as the number of risk allele C increased. Individuals with a CC genotype had the highest risk of elevation in FBG levels. CONCLUSION Short-term exposures to PM2.5 and PM10 were associated with higher FBG levels. Additionally, rs2237892 in KCNQ1 gene might modify the association between the air pollutants and FBG levels.
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Affiliation(s)
- Hexiang Peng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Mengying Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Siyue Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Xueheng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Meng Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Xueying Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yiqun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Dafang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Tao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
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Abstract
As the world's population becomes increasingly urbanized, there is growing concern about the impact of urban environments on cardiovascular health. Urban residents are exposed to a variety of adverse environmental exposures throughout their lives, including air pollution, built environment, and lack of green space, which may contribute to the development of early cardiovascular disease and related risk factors. While epidemiological studies have examined the role of a few environmental factors with early cardiovascular disease, the relationship with the broader environment remains poorly defined. In this article, we provide a brief overview of studies that have examined the impact of the environment including the built physical environment, discuss current challenges in the field, and suggest potential directions for future research. Additionally, we highlight the clinical implications of these findings and propose multilevel interventions to promote cardiovascular health among children and young adults.
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Affiliation(s)
- Kai Zhang
- Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY, USA
| | - Robert D Brook
- Division of Cardiovascular Diseases, Department of Internal Medicine, Wayne State University, Detroit, MI, USA
| | - Yuanfei Li
- Department of Sociology, University at Albany, State University of New York, Albany, NY, USA
| | - Sanjay Rajagopalan
- Cardiovascular Research Institute, University Hospitals Harrington Heart and Vascular Institute, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Juyong Brian Kim
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
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13
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Nazarpour S, Ramezani Tehrani F, Valizadeh R, Amiri M. The relationship between air pollutants and gestational diabetes: an updated systematic review and meta-analysis. J Endocrinol Invest 2023:10.1007/s40618-023-02037-z. [PMID: 36807891 DOI: 10.1007/s40618-023-02037-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 02/08/2023] [Indexed: 02/21/2023]
Abstract
PURPOSE Air pollution is an environmental stimulus that may predispose pregnant women to gestational diabetes mellitus (GDM). This systematic review and meta-analysis were conducted to investigate the relationship between air pollutants and GDM. METHODS PubMed, Web of Science, and Scopus were systematically searched for retrieving English articles published from January 2020 to September 2021, investigating the relationship of exposure to ambient air pollution or levels of air pollutants with GDM and related parameters, including fasting plasma glucose (FPG), insulin resistance, and impaired glucose tolerance. Heterogeneity and publication bias were evaluated using I-squared (I2), and Begg's statistics, respectively. We also performed the subgroup analysis for particulate matters (PM2.5, PM10), Ozone (O3), and sulfur dioxide (SO2) in the different exposure periods. RESULTS A total of 13 studies examining 2,826,544 patients were included in this meta-analysis. Compared to non-exposed women, exposure to PM2.5 increases the odds (likelihood of occurrence outcome) of GDM by 1.09 times (95% CI 1.06, 1.12), whereas exposure to PM10 has more effect by OR of 1.17 (95% CI 1.04, 1.32). Exposure to O3 and SO2 increases the odds of GDM by 1.10 times (95% CI 1.03, 1.18) and 1.10 times (95% CI 1.01, 1.19), respectively. CONCLUSIONS The results of the study show a relationship between air pollutants PM2.5, PM10, O3, and SO2 and the risk of GDM. Although evidence from various studies can provide insights into the linkage between maternal exposure to air pollution and GDM, more well-designed longitudinal studies are recommended for precise interpretation of the association between GDM and air pollution by adjusting all potential confounders.
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Affiliation(s)
- S Nazarpour
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 24 Parvaneh, Yaman Street, Velenjak, P.O. Box: 19395-4763, Tehran, 1985717413, Islamic Republic of Iran
- Department of Midwifery, Varamin-Pishva Branch, Islamic Azad University, Tehran, Iran
| | - F Ramezani Tehrani
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 24 Parvaneh, Yaman Street, Velenjak, P.O. Box: 19395-4763, Tehran, 1985717413, Islamic Republic of Iran.
| | - R Valizadeh
- Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
- Minimally Invasive Surgery Research Center, Hazrat-e Rasool General Hospital, Iran University of Medical Sciences, Tehran, Iran.
| | - M Amiri
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 24 Parvaneh, Yaman Street, Velenjak, P.O. Box: 19395-4763, Tehran, 1985717413, Islamic Republic of Iran
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14
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Nagrani R, Marron M, Bongaerts E, Nawrot TS, Ameloot M, de Hoogh K, Vienneau D, Lequy E, Jacquemin B, Guenther K, De Ruyter T, Mehlig K, Molnár D, Moreno LA, Russo P, Veidebaum T, Ahrens W, Buck C. Association of urinary and ambient black carbon, and other ambient air pollutants with risk of prediabetes and metabolic syndrome in children and adolescents. Environ Pollut 2023; 317:120773. [PMID: 36455765 DOI: 10.1016/j.envpol.2022.120773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 11/10/2022] [Accepted: 11/26/2022] [Indexed: 06/17/2023]
Abstract
The effects of exposure to black carbon (BC) on various diseases remains unclear, one reason being potential exposure misclassification following modelling of ambient air pollution levels. Urinary BC particles may be a more precise measure to analyze the health effects of BC. We aimed to assess the risk of prediabetes and metabolic syndrome (MetS) in relation to urinary BC particles and ambient BC and to compare their associations in 5453 children from IDEFICS/I. Family cohort. We determined the amount of BC particles in urine using label-free white-light generation under femtosecond pulsed laser illumination. We assessed annual exposure to ambient air pollutants (BC, PM2.5 and NO2) at the place of residence using land use regression models for Europe, and we calculated the residential distance to major roads (≤250 m vs. more). We analyzed the cross-sectional relationships between urinary BC and air pollutants (BC, PM2.5 and NO2) and distance to roads, and the associations of all these variables to the risk of prediabetes and MetS, using logistic and linear regression models. Though we did not observe associations between urinary and ambient BC in overall analysis, we observed a positive association between urinary and ambient BC levels in boys and in children living ≤250 m to a major road compared to those living >250 m away from a major road. We observed a positive association between log-transformed urinary BC particles and MetS (ORper unit increase = 1.72, 95% CI = 1.21; 2.45). An association between ambient BC and MetS was only observed in children living closer to a major road. Our findings suggest that exposure to BC (ambient and biomarker) may contribute to the risk of MetS in children. By measuring the internal dose, the BC particles in urine may have additionally captured non-residential sources and reduced exposure misclassification. Larger studies, with longitudinal design including measurement of urinary BC at multiple time-points are warranted to confirm our findings.
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Affiliation(s)
- Rajini Nagrani
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
| | - Manuela Marron
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Eva Bongaerts
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Marcel Ameloot
- Biomedical Research Institute, Hasselt University, Hasselt, Belgium
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Kreuzenstrasse 2, 4123 Allschwil, Switzerland; University of Basel, Petersplatz 1, 4001 Basel, Switzerland
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Kreuzenstrasse 2, 4123 Allschwil, Switzerland; University of Basel, Petersplatz 1, 4001 Basel, Switzerland
| | - Emeline Lequy
- Unité "Cohortes en Population" UMS 011 Inserm/Université Paris-Cité/Université Paris Saclay/UVSQ Villejuif, France
| | - Bénédicte Jacquemin
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherché en Santé, Environnement et Travail) - UMR_S 1085,Rennes, France
| | - Kathrin Guenther
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Thaïs De Ruyter
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Department of Public Health and Primary Care, Ghent University, 9000, Ghent, Belgium
| | - Kirsten Mehlig
- School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Dénes Molnár
- Department of Paediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Luis A Moreno
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, University of Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria de Aragón (IIS Aragón) Zaragoza, Spain and Centro de Investigación Biomédica en Red de Fisiopatología de La Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Paola Russo
- Institute of Food Sciences, National Research Council, Avellino, Italy
| | | | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany; Institute of Statistics, Faculty of Mathematics and Computer Science, Bremen University, Bremen, Germany
| | - Christoph Buck
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
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15
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Mei Y, Li A, Zhao J, Zhou Q, Zhao M, Xu J, Li R, Li Y, Li K, Ge X, Guo C, Wei Y, Xu Q. Association of long-term air pollution exposure with the risk of prediabetes and diabetes: Systematic perspective from inflammatory mechanisms, glucose homeostasis pathway to preventive strategies. Environ Res 2023; 216:114472. [PMID: 36209785 DOI: 10.1016/j.envres.2022.114472] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 08/29/2022] [Accepted: 09/28/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Limited evidence suggests the association of air pollutants with a series of diabetic cascades including inflammatory pathways, glucose homeostasis disorder, and prediabetes and diabetes. Subclinical strategies for preventing such pollutants-induced effects remain unknown. METHODS We conducted a cross-sectional study in two typically air-polluted Chinese cities in 2018-2020. One-year average PM1, PM2.5, PM10, SO2, NO2, and O3 were calculated according to participants' residence. GAM multinomial logistic regression was performed to investigate the association of air pollutants with diabetes status. GAM and quantile g-computation were respectively performed to investigate individual and joint effects of air pollutants on glucose homeostasis markers (glucose, insulin, HbA1c, HOMA-IR, HOMA-B and HOMA-S). Complement C3 and hsCRP were analyzed as potential mediators. The ABCS criteria and hemoglobin glycation index (HGI) were examined for their potential in preventive strategy. RESULTS Long-term air pollutants exposure was associated with the risk of prediabetes [Prevalence ratio for O3 (PR_O3) = 1.96 (95% CI: 1.24, 3.03)] and diabetes [PR_PM1 = 1.18 (95% CI: 1.05, 1.32); PR_PM2.5 = 1.08 (95% CI: 1.00, 1.16); PR_O3 = 1.35 (95% CI: 1.03, 1.74)]. PM1, PM10, SO2 or O3 exposure was associated with glucose-homeostasis disorder. For example, O3 exposure was associated with increased levels of glucose [7.67% (95% CI: 1.75, 13.92)], insulin [19.98% (95% CI: 4.53, 37.72)], HOMA-IR [34.88% (95% CI: 13.81, 59.84)], and decreased levels of HOMA-S [-25.88% (95% CI: -37.46, -12.16)]. Complement C3 and hsCRP played mediating roles in these relationships with proportion mediated ranging from 6.95% to 60.64%. Participants with HGI ≤ -0.53 were protected from the adverse effects of air pollutants. CONCLUSION Our study provides comprehensive insights into air pollutant-associated diabetic cascade and suggests subclinical preventive strategies.
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Affiliation(s)
- Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Runkui Li
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Chen Guo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing, 100012, China
| | - Yongjie Wei
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing, 100012, China.
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
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Hwang SE, Kwon H, Yun JM, Min K, Kim HJ, Park JH. Association between long-term air pollution exposure and insulin resistance independent of abdominal adiposity in Korean adults. Sci Rep 2022; 12:19147. [PMID: 36351977 PMCID: PMC9646867 DOI: 10.1038/s41598-022-23324-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 10/29/2022] [Indexed: 11/10/2022] Open
Abstract
Significant associations between air pollution (AP) and insulin resistance (IR) have been reported in limited populations or certain patient groups, but few studies have addressed this association in the general population, especially in Asians. Although abdominal fat is a major contributor to IR, previous studies have not fully controlled for its effect in the association between AP and IR. We investigated the association between exposure to AP and IR in Korean adults in the general population and whether this association is maintained even after controlling for the effects of abdominal fat, particularly visceral fat. This was a cross-sectional study. Data were obtained for Korean adults who participated in screening health checkups at Seoul National University Health Examination Center from 2006 to 2014. A total of 4251 men and women aged 22-84 years were included. IR was represented by the homeostasis model assessment of insulin resistance (HOMA-IR). Adiposity traits such as visceral adipose tissue (VAT) and subcutaneous adipose tissue areas were measured by computed tomography. We assessed the annual mean concentrations of air pollutants, including particulate matter with an aerodynamic diameter of 10 µm or less (PM10), nitrogen dioxide, sulfur dioxide, and carbon monoxide. HOMA-IR was significantly associated with increased annual mean exposure to PM10 in both men (β = 0.15; 95% CI 0.09, 0.22) and women (β = 0.16; 95% CI 0.09, 0.23), and these associations were maintained even after controlling for VAT area (both p < 0.05). The adjusted mean HOMA-IR increased gradually with the level of long-term PM10 exposure (low, intermediate, and high exposure) (all p for trend < 0.001) in the subgroup analysis. After adjusting for possible confounding factors, including VAT area, the annual mean exposure to PM10 was significantly associated with the presence of IR in both men (OR 1.18; 95% CI 1.03, 1.35) and women (OR 1.44; 95% CI 1.18, 1.76). Other air pollutants, such as NO2, SO2 and CO, did not show any significant associations with HOMA-IR or the presence of IR. Persistent exposure to PM10 is the main independent risk factor for IR and exhibits a dose-dependent association regardless of visceral fatness in both men and women.
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Affiliation(s)
- Seo Eun Hwang
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyuktae Kwon
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Jae Moon Yun
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Kyungha Min
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyun-Jin Kim
- grid.410914.90000 0004 0628 9810Big Data Center, National Cancer Control Institute, National Cancer Center, 323 Ilsan-Ro, Ilsandong-Gu, Goyang-Si, Gyeonggi-Do 10408 South Korea
| | - Jin-Ho Park
- grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 103 Daehakro, Yeongun-Dong, Jongno-Gu, Seoul, 03080 South Korea ,grid.31501.360000 0004 0470 5905Department of Family Medicine, Seoul National University College of Medicine, Seoul, South Korea
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Zorena K, Jaskulak M, Michalska M, Mrugacz M, Vandenbulcke F. Air Pollution, Oxidative Stress, and the Risk of Development of Type 1 Diabetes. Antioxidants (Basel) 2022; 11:1908. [PMID: 36290631 PMCID: PMC9598917 DOI: 10.3390/antiox11101908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/19/2022] [Accepted: 09/21/2022] [Indexed: 11/25/2022] Open
Abstract
Despite multiple studies focusing on environmental factors conducive to the development of type 1 diabetes mellitus (T1DM), knowledge about the involvement of long-term exposure to air pollution seems insufficient. The main focus of epidemiological studies is placed on the relationship between exposure to various concentrations of particulate matter (PM): PM1, PM2.5, PM10, and sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (O3), versus the risk of T1DM development. Although the specific molecular mechanism(s) behind the link between increased air pollution exposure and a higher risk of diabetes and metabolic dysfunction is yet unknown, available data indicate air pollution-induced inflammation and oxidative stress as a significant pathway. The purpose of this paper is to assess recent research examining the association between inhalation exposure to PM and associated metals and the increasing rates of T1DM worldwide. The development of modern and more adequate methods for air quality monitoring is also introduced. A particular emphasis on microsensors, mobile and autonomous measuring platforms, satellites, and innovative approaches of IoT, 5G connections, and Block chain technologies are also presented. Reputable databases, including PubMed, Scopus, and Web of Science, were used to search for relevant literature. Eligibility criteria involved recent publication years, particularly publications within the last five years (except for papers presenting a certain novelty or mechanism for the first time). Population, toxicological and epidemiological studies that focused particularly on fine and ultra-fine PM and associated ambient metals, were preferred, as well as full-text publications.
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Affiliation(s)
- Katarzyna Zorena
- Department of Immunobiology and Environment Microbiology, Faculty of Health Sciences, Institute of Maritime and Tropical Medicine, Medical University of Gdańsk, Dębinki 7, 80-210 Gdańsk, Poland
| | - Marta Jaskulak
- Department of Immunobiology and Environment Microbiology, Faculty of Health Sciences, Institute of Maritime and Tropical Medicine, Medical University of Gdańsk, Dębinki 7, 80-210 Gdańsk, Poland
| | - Małgorzata Michalska
- Department of Immunobiology and Environment Microbiology, Faculty of Health Sciences, Institute of Maritime and Tropical Medicine, Medical University of Gdańsk, Dębinki 7, 80-210 Gdańsk, Poland
| | - Małgorzata Mrugacz
- Department of Ophthalmology and Eye Rehabilitation, Medical University of Bialystok, Kilinskiego 1, 15-089 Białystok, Poland
| | - Franck Vandenbulcke
- Laboratoire de Génie Civil et Géo-Environnement, Univ. Lille, IMT Lille Douai, University Artois, YncreaHauts-de-France, ULR4515-LGCgE, F-59000 Lille, France
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18
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Wu X, Liu X, Liao W, Dong X, Li R, Hou J, Mao Z, Huo W, Guo Y, Li S, Chen G, Wang C. Healthier Lifestyles Attenuated Association of Single or Mixture Exposure to Air Pollutants with Cardiometabolic Risk in Rural Chinese Adults. Toxics 2022; 10:541. [PMID: 36136506 PMCID: PMC9503940 DOI: 10.3390/toxics10090541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/12/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
There is little research on how long-term exposure to independent and multiple air pollutants changes cardiometabolic risk in adults. In addition, previous studies focused on only the effect of one or two lifestyles on cardiometabolic risk. The evidence on the interactive effects of the lifestyle score and exposure to independent and mixtures of air pollutants on cardiometabolic risk is lacking. A total of 33,638 rural residents were included in the cross-sectional study. The three-year average concentrations of air pollutants for participants were predicted by using a satellite-based prediction. The air pollution score was created to assess the combined exposure of four air pollutants (PM1, PM2.5, PM10, and NO2). A gender−age-specific cardiometabolic risk score was calculated. Multivariable-adjusted linear regression and quantile g-computation were used to investigate the associations between air pollutants and cardiometabolic risk. Interaction plots were applied to describe the interactive effects of air pollution and the healthy lifestyle score on cardiometabolic risk. Per interquartile range (IQR) unit increases in PM1, PM2.5, PM10, or NO2 were associated with 0.162 (95% CI: 0.091, 0.233), 0.473 (95% CI: 0.388, 0.559), 0.718 (95% CI: 0.627, 0.810), and 0.795 (95% CI: 0.691, 0.898) unit increases in cardiometabolic risk score (all p < 0.05), respectively. A 0.854 (95% CI: 0.768, 0.940) unit increase in cardiometabolic risk was associated with each IQR increase in air pollution score. Furthermore, the strengths of associations of PM1, PM2.5, PM10, NO2, and the air pollution score on cardiometabolic risk score were attenuated with the healthy lifestyle score increase. In addition, there was no statistical significance after the lifestyle score equal to four scores for the effect of PM1 on the cardiometabolic risk score. In conclusions, individual or joint air pollutants were associated with an increased cardiometabolic risk. Improving the healthy lifestyle may be an effective method to improve cardiometabolic health in highly polluted rural regions.
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Affiliation(s)
- Xueyan Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Yuming Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3010, Australia
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3010, Australia
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
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19
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Gheissari R, Liao J, Garcia E, Pavlovic N, Gilliland FD, Xiang AH, Chen Z. Health Outcomes in Children Associated with Prenatal and Early-Life Exposures to Air Pollution: A Narrative Review. Toxics 2022; 10:toxics10080458. [PMID: 36006137 PMCID: PMC9415268 DOI: 10.3390/toxics10080458] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/25/2022] [Accepted: 08/03/2022] [Indexed: 06/04/2023]
Abstract
(1) Background: The developmental origins of health and disease (DOHaD) hypothesis links adverse fetal exposures with developmental mal-adaptations and morbidity later in life. Short- and long-term exposures to air pollutants are known contributors to health outcomes; however, the potential for developmental health effects of air pollution exposures during gestation or early-childhood have yet to be reviewed and synthesized from a DOHaD lens. The objective of this study is to summarize the literature on cardiovascular and metabolic, respiratory, allergic, and neuropsychological health outcomes, from prenatal development through early childhood, associated with early-life exposures to outdoor air pollutants, including traffic-related and wildfire-generated air pollutants. (2) Methods: We conducted a search using PubMed and the references of articles previously known to the authors. We selected papers that investigated health outcomes during fetal or childhood development in association with early-life ambient or source-specific air pollution exposure. (3) Results: The current literature reports that prenatal and early-childhood exposures to ambient and traffic-related air pollutants are associated with a range of adverse outcomes in early life, including cardiovascular and metabolic, respiratory and allergic, and neurodevelopmental outcomes. Very few studies have investigated associations between wildfire-related air pollution exposure and health outcomes during prenatal, postnatal, or childhood development. (4) Conclusion: Evidence from January 2000 to January 2022 supports a role for prenatal and early-childhood air pollution exposures adversely affecting health outcomes during development. Future studies are needed to identify both detrimental air pollutants from the exposure mixture and critical exposure time periods, investigate emerging exposure sources such as wildfire, and develop feasible interventional tools.
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Affiliation(s)
- Roya Gheissari
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
| | - Jiawen Liao
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
| | - Erika Garcia
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
| | - Nathan Pavlovic
- Sonoma Technology Inc., 1450 N. McDowell Blvd., Suite 200, Petaluma, CA 94954, USA
| | - Frank D. Gilliland
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
| | - Anny H. Xiang
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA 91107, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
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20
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Pryor JT, Cowley LO, Simonds SE. The Physiological Effects of Air Pollution: Particulate Matter, Physiology and Disease. Front Public Health 2022; 10:882569. [PMID: 35910891 PMCID: PMC9329703 DOI: 10.3389/fpubh.2022.882569] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/15/2022] [Indexed: 01/19/2023] Open
Abstract
Nine out of 10 people breathe air that does not meet World Health Organization pollution limits. Air pollutants include gasses and particulate matter and collectively are responsible for ~8 million annual deaths. Particulate matter is the most dangerous form of air pollution, causing inflammatory and oxidative tissue damage. A deeper understanding of the physiological effects of particulate matter is needed for effective disease prevention and treatment. This review will summarize the impact of particulate matter on physiological systems, and where possible will refer to apposite epidemiological and toxicological studies. By discussing a broad cross-section of available data, we hope this review appeals to a wide readership and provides some insight on the impacts of particulate matter on human health.
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Affiliation(s)
- Jack T. Pryor
- Metabolism, Diabetes and Obesity Programme, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
- Woodrudge LTD, London, United Kingdom
| | - Lachlan O. Cowley
- Metabolism, Diabetes and Obesity Programme, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
| | - Stephanie E. Simonds
- Metabolism, Diabetes and Obesity Programme, Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, Australia
- *Correspondence: Stephanie E. Simonds
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21
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Ao L, Zhou J, Han M, Li H, Li Y, Pan Y, Chen J, Xie X, Jiang Y, Wei J, Chen G, Li S, Guo Y, Hong F, Li Z, Xiao X, Zhao X. The joint effects of physical activity and air pollution on type 2 diabetes in older adults. BMC Geriatr 2022; 22:472. [PMID: 35650529 PMCID: PMC9158242 DOI: 10.1186/s12877-022-03139-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 05/12/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Older adults with type 2 diabetes are at higher risk of developing common geriatric syndromes and have a lower quality of life. To prevent type 2 diabetes in older adults, it's unclear whether the health benefits of physical activity (PA) will be influenced by the harms caused by increased exposure to air pollution during PA, especially in developing countries with severe air pollution problem. We aimed to investigate the joint effects of PA and long-term exposure to air pollution on the type 2 diabetes in older adults from China. METHODS This cross-sectional study was based on the China Multi-Ethnic cohort (CMEC) study. The metabolic equivalent of PA was calculated according to the PA scale during the CMEC baseline survey. High resolution air pollution datasets (PM10, PM2.5 and PM1) were collected from open products. The joint effects were assessed by the marginal structural mean model with generalized propensity score. RESULTS A total of 36,562 participants aged 50 to 79 years were included in the study. The prevalence of type 2 diabetes was 10.88%. The mean (SD) level of PA was 24.93 (18.60) MET-h/d, and the mean (SD) level of PM10, PM2.5, and PM1 were 70.00 (23.32) µg/m3, 40.45 (15.66) µg/m3 and 27.62 (6.51) µg/m3, respectively. With PM10 < 92 µg/m3, PM2.5 < 61 µg/m3, and PM1 < 36 µg/m3, the benefit effects of PA on type 2 diabetes was significantly greater than the harms due to PMs when PA levels were roughly below 80 MET-h/d. With PM10 ≥ 92 µg/m3, PM2.5 ≥ 61 µg/m3, and PM1 ≥ 36 µg/m3, the odds ratio (OR) first decreased and then rose rapidly with confidence intervals progressively greater than 1 and break-even points close to or even below 40 MET-h/d. CONCLUSIONS Our findings implied that for the prevention of type 2 diabetes in older adults, the PA health benefits outweighed the harms of air pollution except in extreme air pollution situations, and suggested that when the air quality of residence is severe, the PA levels should ideally not exceed 40 MET-h/d.
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Affiliation(s)
- Linjun Ao
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Junmin Zhou
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Mingming Han
- grid.507966.bChengdu Center for Disease Control and Prevention, Sichuan, China
| | - Hong Li
- grid.508395.20000 0004 9404 8936Yunnan Center for Disease Control and Prevention, Yunnan, China
| | - Yajie Li
- Tibet Center for Disease Control and Prevention CN, Tibet, China
| | - Yongyue Pan
- grid.440680.e0000 0004 1808 3254Tibet University, Tibet, China
| | - Jiayi Chen
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Xiaofen Xie
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Ye Jiang
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Jing Wei
- grid.164295.d0000 0001 0941 7177Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD USA
| | - Gongbo Chen
- grid.12981.330000 0001 2360 039XGuangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong China
| | - Shanshan Li
- grid.1002.30000 0004 1936 7857Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yuming Guo
- grid.1002.30000 0004 1936 7857Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Feng Hong
- grid.413458.f0000 0000 9330 9891School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Zhifeng Li
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Xiong Xiao
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
| | - Xing Zhao
- grid.13291.380000 0001 0807 1581West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu Sichuan, China
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22
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Friedman C, Dabelea D, Bloemsma LD, Thomas DSK, Peel JL, Adgate JL, Magzamen S, Martenies SE, Allshouse WB, Starling AP. Ambient air pollution during pregnancy and cardiometabolic biomarkers in cord blood. Environ Epidemiol 2022; 6:e203. [PMID: 35434464 PMCID: PMC9005247 DOI: 10.1097/ee9.0000000000000203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 02/22/2022] [Indexed: 11/26/2022] Open
Abstract
Prenatal air pollution exposure has been associated with adverse childhood cardiometabolic outcomes. It is unknown whether evidence of metabolic disruption associated with air pollution is identifiable at birth. We examined exposure to prenatal ambient air pollution and cord blood cardiometabolic biomarkers among 812 mother-infant pairs in the Healthy Start study.
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Dutta M, Weigel KM, Patten KT, Valenzuela AE, Wallis C, Bein KJ, Wexler AS, Lein PJ, Cui JY. Chronic exposure to ambient traffic-related air pollution (TRAP) alters gut microbial abundance and bile acid metabolism in a transgenic rat model of Alzheimer's disease. Toxicol Rep 2022; 9:432-444. [PMID: 35310146 PMCID: PMC8927974 DOI: 10.1016/j.toxrep.2022.03.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 02/03/2022] [Accepted: 03/02/2022] [Indexed: 02/07/2023] Open
Abstract
Background Traffic-related air pollution (TRAP) is linked to increased risk for age-related dementia, including Alzheimer's disease (AD). The gut microbiome is posited to influence AD risk, and an increase in microbial-derived secondary bile acids (BAs) is observed in AD patients. We recently reported that chronic exposure to ambient TRAP modified AD risk in a sex-dependent manner in the TgF344 AD (TG) rat. Objectives In this study, we used samples from the same cohort to test our hypothesis that TRAP sex-dependently produces gut dysbiosis and increases secondary BAs to a larger extent in the TG rat relative to wildtype (WT) controls. Methods Male and female TG and age-matched WT rats were exposed to either filtered air (FA) or TRAP from 28 days up to 15 months of age (n = 5-6). Tissue samples were collected after 9 or 14months of exposure. Results At 10 months of age, TRAP tended to decrease the alpha diversity as well as the beneficial taxa Lactobacillus and Ruminococcus flavefaciens uniquely in male TG rats as determined by 16 S rDNA sequencing. A basal decrease in Firmicutes/Bacteroidetes (F/B) ratio was also noted in TG rats at 10 months. At 15 months of age, TRAP altered inflammation-related bacteria in the gut of female rats from both genotypes. BAs were more affected by chronic TRAP exposure in females, with a general trend of increase in host-produced unconjugated primary and microbiota-produced secondary BAs. Most of the mRNAs of the hepatic BA-processing genes were not altered by TRAP, except for a down-regulation of the BA-uptake transporter Ntcp in males. Conclusion In conclusion, chronic TRAP exposure produced distinct gut dysbiosis and altered BA homeostasis in a sex and host genotype-specific manner.
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Affiliation(s)
- Moumita Dutta
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Kris M. Weigel
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Kelley T. Patten
- Department of Molecular Biosciences, University of California Davis (UC Davis) School of Veterinary Medicine, Davis, CA, USA
| | - Anthony E. Valenzuela
- Department of Molecular Biosciences, University of California Davis (UC Davis) School of Veterinary Medicine, Davis, CA, USA
| | | | - Keith J. Bein
- Air Quality Research Center, UC Davis, Davis, CA, USA
- Center for Health and the Environment, UC Davis, Davis, CA, USA
| | - Anthony S. Wexler
- Air Quality Research Center, UC Davis, Davis, CA, USA
- Mechanical and Aerospace Engineering, Civil and Environmental Engineering, and Land, Air and Water Resources, UC Davis, Davis, CA, USA
| | - Pamela J. Lein
- Department of Molecular Biosciences, University of California Davis (UC Davis) School of Veterinary Medicine, Davis, CA, USA
| | - Julia Yue Cui
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
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Keast L, Bramwell L, Maji KJ, Rankin J, Namdeo A. Air Quality Outside Schools in Newcastle upon Tyne, UK: An Investigation into NO2 and PM Concentrations and PM Respiratory Deposition. Atmosphere 2022; 13:172. [DOI: 10.3390/atmos13020172] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Air pollution is the principal environmental threat to public health in the UK. Ever-increasing evidence links ambient air pollutants, preventable diseases, and health inequalities. Children are particularly vulnerable to harmful effects due to their short height, developing lungs, and higher rate of respiration. Using data from air quality monitors around schools, we investigated 2018–2019 ambient NO2, PM10, PM2.5, and PM1 concentrations at 12 schools in Newcastle upon Tyne, UK. We compared findings with EU/UK air quality regulations and guidelines, identified patterns, and calculated PM respiratory deposition doses (RDDs). The range of annual average (AA) concentrations across the schools for the two-year period was 23.7–39.2 µg/m3 for NO2, 7.4–22.2 µg/m3 for PM10, 3.5–11.6 µg/m3 for PM2.5, and 1.7–9.0 µg/m3 for PM1. The highest PM RDD children were exposed to at school was 30 µg/h. One school’s AA NO2, two schools’ hourly PM2.5 averages, and one school’s 24-h PM10 averages exceeded EU/UK regulations. All schools exceeded WHO2005 24-h PM10 and PM2.5 guidelines in 2018, less in 2019. All 12 schools would have exceeded WHO2021 NO2 AA guidelines (10 µg/m3), 2 the WHO2021 PM10 AA (15 µg/m3), and 10 the WHO2021 PM2.5 AA (5 µg/m3). Evidence-based policy is required to improve school ambient air quality and reduce children’s exposure.
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Firdous P, Nissar K, Bashir H, Hussain QA, Masoodi SR, Ganai BA. Environmental Factors as Diabetic Mediators: A Mechanistic Approach. Curr Diabetes Rev 2022; 18:e301221199656. [PMID: 34967298 DOI: 10.2174/1573399818666211230104327] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 09/13/2021] [Accepted: 09/29/2021] [Indexed: 11/22/2022]
Abstract
Despite substantial investment in research and treatment options, diabetes mellitus remains a pressing public health concern with potential epidemic proportions globally. There are reports that by the end of 2040, 642 million people will be suffering from diabetes. Also, according to an estimation, 1.6 million deaths were caused directly by diabetes in 2016. Diabetes is a metabolic disorder characterized by impaired glucose regulation in the body due to the destruction of pancreatic β-cells or insulin resistance. Genetic propensity, unhealthy and imbalanced diet, obesity and increasing urbanization are the common risk factors for diabetes. Besides this, it has been reported that environmental pollutants like organic pesticides, heavy metals, and air pollutants act as strong predisposing factors for diabetes owing to their highly bio-accumulative nature. These pollutants disturb glucose homeostasis either by up-regulating or down-regulating the expression of diabetic marker genes like insulin (INS) and glucokinase (GCK). Unfortunately, the molecular mechanism of the role of pollutants in causing diabetes is not very clear. This mechanistic review provides evidence of different environmental determinants, including persistent organic pollutants (POPs), air pollutants, toxic metals, etc., in inducing diabetes and proposes a framework for the possible mechanisms involved. It also illuminates the current status and future challenges, which will not only broaden our understanding but can also be a reasonable platform for further investigation.
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Affiliation(s)
- Parveena Firdous
- Centre of Research for Development (CORD), University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
| | - Kamran Nissar
- Centre of Research for Development (CORD), University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
- Department of Biochemistry, University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
- Department of Clinical Biochemistry, University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
| | - Humayra Bashir
- Centre of Research for Development (CORD), University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
| | - Qazi A Hussain
- P.G. Department of Environmental Science, Sri Pratap College Campus, Cluster University Srinagar, Jammu and Kashmir 190001, India
| | | | - Bashir Ahmad Ganai
- Centre of Research for Development (CORD), University of Kashmir, Srinagar, Jammu and Kashmir 190006, India
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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. Ecotoxicol Environ Saf 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] [What about the content of this article? (0)] [Affiliation(s)] [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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Kim JH. Ambient air pollution and pediatric diabetes. Clin Exp Pediatr 2021; 64:523-534. [PMID: 33721929 PMCID: PMC8498013 DOI: 10.3345/cep.2021.00122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 03/04/2021] [Indexed: 11/27/2022] Open
Affiliation(s)
- Jae Hyun Kim
- Department of Pediatrics, Seoul National University Bundang Hospital, Seongnam, Korea.,Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea
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Abstract
Ambient air pollution has been proposed as an important environmental risk factor that increases global mortality and morbidity. Over the past decade, several human and animal studies have reported an association between exposure to air pollution and altered metabolic and endocrine systems in children. However, the results for these studies were mixed and inconclusive and did not demonstrate causality because different outcomes were observed due to different study designs, exposure periods, and methodologies for exposure measurements. Current proposed mechanisms include altered immune response, oxidative stress, neuroinflammation, inadequate placental development, and epigenetic modulation. In this review, we summarized the results of previous pediatric studies that reported effects of prenatal and postnatal air pollution exposure on childhood type 1 diabetes mellitus, obesity, insulin resistance, thyroid dysfunction, and timing of pubertal onset, along with underlying related mechanisms.
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Affiliation(s)
- You Joung Heo
- Department of Pediatrics, Ewha Women’s University College of Medicine, Seoul, Korea
| | - Hae Soon Kim
- Department of Pediatrics, Ewha Women’s University College of Medicine, Seoul, Korea,Address for correspondence: Hae Soon Kim Department of Pediatrics, Ewha Women’s University College of Medicine, 260, Gonghang-daero, Gangseo-gu, Seoul 07804, Korea
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Rousseau-Ralliard D, Richard C, Hoarau P, Lallemand MS, Morillon L, Aubrière MC, Valentino SA, Dahirel M, Guinot M, Fournier N, Morin G, Mourier E, Camous S, Slama R, Cassee FR, Couturier-Tarrade A, Chavatte-Palmer P. Prenatal air pollution exposure to diesel exhaust induces cardiometabolic disorders in adulthood in a sex-specific manner. Environ Res 2021; 200:111690. [PMID: 34273365 DOI: 10.1016/j.envres.2021.111690] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 07/09/2021] [Accepted: 07/11/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Results from observational and experimental studies indicate that exposure to air pollutants during gestation reduces birth weight, whereas little is known on potential cardiometabolic consequences for the offspring at adulthood. OBJECTIVES Our aim was to evaluate the long-term effects of gestational exposure to diesel engine exhaust (DE) on adult offspring phenotype in a rabbit model. METHODS The protocol was designed to mimic human exposure in large European cities. Females rabbits were exposed to diluted (1 mg/m3) DE (exposed, n = 9) or clean air (controls, n = 7), from 3 days after mating, 2 h/d and 5 d/wk in a nose-only inhalation system throughout gestation (gestation days 3-27). After birth and weaning, 72 offspring (47 exposed and 25 controls) were raised until adulthood (7.5 months) to evaluate their cardio-metabolic status, including the monitoring of body weight and food intake, fasting biochemistry, body composition (iDXA), cardiovascular parameters and glucose tolerance. After a metabolic challenge (high fat diet in males and gestation in females), animals were euthanized for postmortem phenotyping. RESULTS Sex-specific responses to maternal exposure were observed in adult offspring. Age-related increases in blood pressure (p = 0.058), glycaemia (p = 0.029), and perirenal fat mass (p = 0.026) as well as reductions in HDL-cholesterol (p = 0.025) and fat-to-body weight ratio (p = 0.011) were observed in exposed males, suggesting a metabolic syndrome. Almost only trends were observed in exposed females with higher triglycerides and decreased bone density compared to control females. Metabolic challenges triggered or amplified some biological responses, especially in females. CONCLUSIONS In utero exposure to air pollution predisposed rabbit offspring to cardiometabolic disorders in a sex-specific manner.
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Affiliation(s)
- Delphine Rousseau-Ralliard
- Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France; Ecole Nationale Vétérinaire d'Alfort, BREED, 94700, Maisons-Alfort, France.
| | - Christophe Richard
- Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France; MIMA2 Platform, INRAE, 78350, Jouy-en-Josas, France
| | - Pauline Hoarau
- Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France
| | | | - Lucie Morillon
- Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France
| | - Marie-Christine Aubrière
- Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France; Ecole Nationale Vétérinaire d'Alfort, BREED, 94700, Maisons-Alfort, France
| | - Sarah A Valentino
- Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France; Ecole Nationale Vétérinaire d'Alfort, BREED, 94700, Maisons-Alfort, France
| | - Michèle Dahirel
- Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France; Ecole Nationale Vétérinaire d'Alfort, BREED, 94700, Maisons-Alfort, France
| | - Marine Guinot
- Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France
| | - Natalie Fournier
- Lip(Sys)2 - EA 7357, Athérosclérose et macrophages: impact des phospholipides et des fonctions mitochondriales sur l'efflux du cholestérol, Université Paris Saclay, UFR de Pharmacie, 92290, Châtenay-Malabry, France; Laboratoire de Biochimie, AP-HP (Assistance Publique-Hôpitaux de Paris), Hôpital Européen Georges Pompidou, 75015, Paris, France
| | - Gwendoline Morin
- Université Paris-Saclay, INRAE, UE SAAJ, 78350, Jouy en Josas, France
| | - Eve Mourier
- Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France
| | - Sylvaine Camous
- Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France
| | - Rémy Slama
- Inserm and Univ. Grenoble Alpes, U823, IAB Research Center, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, 38700, Grenoble, France
| | - Flemming R Cassee
- Centre for Sustainability, Environment and Health, National Institute for Public Health and the Environment, Bilthoven, Netherlands; Institute of Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Anne Couturier-Tarrade
- Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France; Ecole Nationale Vétérinaire d'Alfort, BREED, 94700, Maisons-Alfort, France
| | - Pascale Chavatte-Palmer
- Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France; Ecole Nationale Vétérinaire d'Alfort, BREED, 94700, Maisons-Alfort, France; MIMA2 Platform, INRAE, 78350, Jouy-en-Josas, France
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Johnson NM, Hoffmann AR, Behlen JC, Lau C, Pendleton D, Harvey N, Shore R, Li Y, Chen J, Tian Y, Zhang R. Air pollution and children's health-a review of adverse effects associated with prenatal exposure from fine to ultrafine particulate matter. Environ Health Prev Med 2021; 26:72. [PMID: 34253165 PMCID: PMC8274666 DOI: 10.1186/s12199-021-00995-5] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 07/01/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Particulate matter (PM), a major component of ambient air pollution, accounts for a substantial burden of diseases and fatality worldwide. Maternal exposure to PM during pregnancy is particularly harmful to children's health since this is a phase of rapid human growth and development. METHOD In this review, we synthesize the scientific evidence on adverse health outcomes in children following prenatal exposure to the smallest toxic components, fine (PM2.5) and ultrafine (PM0.1) PM. We highlight the established and emerging findings from epidemiologic studies and experimental models. RESULTS Maternal exposure to fine and ultrafine PM directly and indirectly yields numerous adverse birth outcomes and impacts on children's respiratory systems, immune status, brain development, and cardiometabolic health. The biological mechanisms underlying adverse effects include direct placental translocation of ultrafine particles, placental and systemic maternal oxidative stress and inflammation elicited by both fine and ultrafine PM, epigenetic changes, and potential endocrine effects that influence long-term health. CONCLUSION Policies to reduce maternal exposure and health consequences in children should be a high priority. PM2.5 levels are regulated, yet it is recognized that minority and low socioeconomic status groups experience disproportionate exposures. Moreover, PM0.1 levels are not routinely measured or currently regulated. Consequently, preventive strategies that inform neighborhood/regional planning and clinical/nutritional recommendations are needed to mitigate maternal exposure and ultimately protect children's health.
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Affiliation(s)
- Natalie M Johnson
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, 77843, USA.
| | | | - Jonathan C Behlen
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, 77843, USA
| | - Carmen Lau
- Department of Veterinary Pathobiology, Texas A&M University, College Station, TX, 77843, USA
| | - Drew Pendleton
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, 77843, USA
| | - Navada Harvey
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, 77843, USA
| | - Ross Shore
- Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, 77843, USA
| | - Yixin Li
- Department of Chemistry, Texas A&M University, College Station, TX, 77843, USA
| | - Jingshu Chen
- Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, 77843, USA
| | - Yanan Tian
- Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, 77843, USA
| | - Renyi Zhang
- Department of Chemistry, Texas A&M University, College Station, TX, 77843, USA
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Hou J, Tu R, Dong Y, Liu X, Dong X, Li R, Pan M, Yin S, Hu K, Mao Z, Huo W, Guo Y, Li S, Chen G, Wang C. Associations of residing greenness and long-term exposure to air pollution with glucose homeostasis markers. Sci Total Environ 2021; 776:145834. [PMID: 33640545 DOI: 10.1016/j.scitotenv.2021.145834] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 02/06/2021] [Accepted: 02/08/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Although long-term exposure to higher air pollutants and lower residing greenness related to disorders of glucose homeostasis have been reported, their interaction effects on glucose homeostasis in developing countries remained unclear. METHODS A total of 35, 482 participants were obtained from the Henan Rural Cohort (n = 39, 259). Exposure to air pollutants (PM1, PM2.5, PM10 and NO2) were predicted by using a spatiotemporal model-based on satellites data. Residing greenness was reflected by Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) which were derived from satellites data. Independent associations of single or mixture of air pollutant or residing greenness with glucose homeostasis markers were analyzed by quantile regression models and quantile g (qg)-computation method, respectively. Furthermore, interaction effects of residing greenness and air pollution on glucose homeostasis markers were analyzed by generalized additive models. RESULTS Positive associations of single or mixture of air pollutants (PM1, PM2.5, PM10 or NO2) with fasting plasma glucose (FPG) were observed, while negative associations of single or mixture of air pollutants with insulin or HOMA-β were observed. Residing greenness was negatively associated with FPG but positively related to insulin or HOMA-β. Quantile regression revealed the heterogeneity were observed in the associations the residing greenness or air pollutants with glucose homeostasis markers (insulin or HOMA-β) across deciles of the glucose homeostasis markers distributions. Furthermore, joint associations of single air pollutant and residing greenness on glucose homeostasis markers were found. CONCLUSIONS The results indicated that exposure to air pollution had negative effect on glucose homeostasis markers and these effects may be modified by living in higher green space. These findings suggest that increased residing greenness and air pollution control may have joint effect on decreased the risk of diabetes. CLINICAL TRIAL REGISTRATION The Henan Rural Cohort study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699, http://www.chictr.org.cn/showproj.aspx?proj=11375).
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Affiliation(s)
- Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Runqi Tu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yonghui Dong
- Department of Orthopedics, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Mingming Pan
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Shanshan Yin
- Department of health policy research, Henan Academy of Medical Sciences, Zhengzhou, PR China
| | - Kai Hu
- Department of health policy research, Henan Academy of Medical Sciences, Zhengzhou, PR China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yuming Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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Zhang S, Mwiberi S, Pickford R, Breitner S, Huth C, Koenig W, Rathmann W, Herder C, Roden M, Cyrys J, Peters A, Wolf K, Schneider A. Longitudinal associations between ambient air pollution and insulin sensitivity: results from the KORA cohort study. Lancet Planet Health 2021; 5:e39-e49. [PMID: 33421408 DOI: 10.1016/s2542-5196(20)30275-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 11/05/2020] [Accepted: 11/12/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Impaired insulin sensitivity could be an intermediate step that links exposure to air pollution to the development of type 2 diabetes. However, longitudinal associations of air pollution with insulin sensitivity remain unclear. Our study investigated the associations of long-term air pollution exposure with the degree and rate of change of insulin sensitivity. METHODS In this longitudinal study, we analysed data from the Cooperative Health Research in the Region of Augsburg (KORA) cohort from Augsburg, Germany, which recruited participants aged 25-74 years in the survey between 1999 and 2001 (KORA S4), with two follow-up examinations in 2006-08 (KORA F4) and 2013-14 (KORA FF4). Serum concentrations of fasting insulin and glucose, and homoeostasis model assessment of insulin resistance (HOMA-IR, a surrogate measure of insulin sensitivity) and β-cell function (HOMA-B, a surrogate marker for fasting insulin secretion) were assessed at up to three visits between 1999 and 2014. Annual average air pollutant concentrations at the residence were estimated by land-use regression models. We examined the associations of air pollution with repeatedly assessed biomarker levels using mixed-effects models, and we assessed the associations with the annual rate of change in biomarkers using quantile regression models. FINDINGS Among 9620 observations from 4261 participants in the KORA cohort, we included 6008 (62·5%) observations from 3297 (77·4%) participants in our analyses. Per IQR increment in annual average air pollutant concentrations, HOMA-IR significantly increased by 2·5% (95% CI 0·3 to 4·7) for coarse particulate matter, by 3·1% (0·9 to 5·3) for PM2·5, by 3·6% (1·0 to 6·3) for PM2·5absorbance, and by 3·2% (0·6 to 5·8) for nitrogen dioxide, and borderline significantly increased by 2·2% (-0·1 to 4·5) for ozone, whereas it did not significantly increase for the whole range of ultrafine particles. Similar positive associations in slightly smaller magnitude were observed for HOMA-B and fasting insulin levels. In addition, air pollutant concentrations were positively associated with the annual rate of change in HOMA-IR, HOMA-B, and fasting insulin. Neither the level nor the rate of change of fasting glucose were associated with air pollution exposure. INTERPRETATION Our study indicates that long-term air pollution exposure could contribute to the development of insulin resistance, which is one of the key factors in the pathogenesis of type 2 diabetes. FUNDING German Federal Ministry of Education and Research.
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Affiliation(s)
- Siqi Zhang
- Institute of Epidemiology, Helmholtz Centre Munich, German Research Centre for Environmental Health, Neuherberg, Germany.
| | - Sarah Mwiberi
- Institute of Epidemiology, Helmholtz Centre Munich, German Research Centre for Environmental Health, Neuherberg, Germany; Research Unit of Radiation Cytogenetics, Helmholtz Centre Munich, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Regina Pickford
- Institute of Epidemiology, Helmholtz Centre Munich, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Susanne Breitner
- Institute of Epidemiology, Helmholtz Centre Munich, German Research Centre for Environmental Health, Neuherberg, Germany; Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany
| | - Cornelia Huth
- Institute of Epidemiology, Helmholtz Centre Munich, German Research Centre for Environmental Health, Neuherberg, Germany; German Centre for Diabetes Research, DZD, Munich-Neuherberg, Germany
| | - Wolfgang Koenig
- German Heart Centre Munich, Technical University of Munich, Munich, Germany; German Centre for Cardiovascular Research, DZHK, Partner Site Munich, Munich, Germany; Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Wolfgang Rathmann
- German Centre for Diabetes Research, DZD, Munich-Neuherberg, Germany; Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Herder
- German Centre for Diabetes Research, DZD, Munich-Neuherberg, Germany; Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Michael Roden
- German Centre for Diabetes Research, DZD, Munich-Neuherberg, Germany; Institute for Clinical Diabetology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Josef Cyrys
- Institute of Epidemiology, Helmholtz Centre Munich, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Centre Munich, German Research Centre for Environmental Health, Neuherberg, Germany; Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany; German Centre for Diabetes Research, DZD, Munich-Neuherberg, Germany; German Centre for Cardiovascular Research, DZHK, Partner Site Munich, Munich, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Centre Munich, German Research Centre for Environmental Health, Neuherberg, Germany; German Centre for Diabetes Research, DZD, Munich-Neuherberg, Germany
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Centre Munich, German Research Centre for Environmental Health, Neuherberg, Germany; German Centre for Diabetes Research, DZD, Munich-Neuherberg, Germany
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Rutledge SM, Asgharpour A. Smoking and Liver Disease. Gastroenterol Hepatol (N Y) 2020; 16:617-625. [PMID: 34035697 PMCID: PMC8132692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Cigarette smoking is the leading cause of preventable disease and death in the United States, causing approximately 480,000 deaths per year, which is equivalent to 1 in 5 deaths being attributable to tobacco use. The adverse effects of cigarette smoking on the lungs and cardiovascular system are well described; however, the detrimental effects of smoking on the liver are not as well defined. Smoking affects the liver via 3 separate mechanisms: toxic (both direct and indirect), immunologic, and oncogenic. There is an emerging body of evidence of an association between cigarette smoking and progression of fibrosis in chronic liver diseases such as nonalcoholic fatty liver disease and primary biliary cholangitis. Smoking is associated with accelerated development of hepatocellular carcinoma in patients with chronic hepatitis B or C virus infection. Tobacco smoking adversely affects lung function, which increases physical limitations and may preclude liver transplantation. Following liver transplantation, smoking is associated with several adverse outcomes, including increased risk of de novo malignancy, vascular complications, and nongraft-associated mortality. The respiratory illness caused by the novel coronavirus disease 2019 serves as a good example of the complex interplay between the lungs and the liver. It is evident that cigarette smoking has important negative effects on a multitude of liver diseases and that patients' smoking cessation must be prioritized. The data are limited, and more research is needed to better understand how smoking affects the liver. This article summarizes what is known about the pathologic effects of cigarette smoking on common liver diseases.
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Affiliation(s)
- Stephanie M. Rutledge
- Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Amon Asgharpour
- Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, Institute of Liver Medicine at Mount Sinai, New York, New York
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Kim SR, Choi D, Choi S, Kim K, Lee G, Son JS, Kim KH, Park SM. Association of combined effects of physical activity and air pollution with diabetes in older adults. Environ Int 2020; 145:106161. [PMID: 33035891 DOI: 10.1016/j.envint.2020.106161] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 09/13/2020] [Accepted: 09/23/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Physical activity (PA), especially outdoor PA, may have twofold effects on diabetes risk: the health benefits of PA and the potential detrimental effects caused by augmented exposure to air pollution. We examined the association of combined effects of PA and air pollution with diabetes in older adults. METHODS The study participants consisted of 1,259,871 older adults aged 58 years or more from the Korean National Health Insurance Service database. The exposure to air pollution was estimated by the average ambient levels of particulate matter (PM) of the participants' residence area. Cox proportional hazards models were used to evaluate the adjusted hazard ratios and 95% confidence intervals of developing diabetes according to the combined effect of moderate to vigorous physical activity (MVPA) and air pollution exposure. RESULTS Engaging in 5 or more times of MVPA/week was associated with decreased risk of diabetes within groups with both high and low/moderate levels of exposure to PM10 (low/moderate PM10 aHR 0.91, 95% CI 0.89-0.93; high PM10 aHR 0.97, 95% CI 0.94-0.99) or PM2.5 (low/moderate PM2.5 aHR 0.88, 95% CI 0.85-0.90; high PM10 aHR 0.95, 95% CI 0.91-0.99) exposure. The risk-reducing effects upon MVPA tended to be slightly attenuated, which showed the reverse J-shaped association, but still significant, among those who were exposed to a high level of air pollution. The association was consistent among stratified analyses according to the possible confounders. CONCLUSION MVPA may be inversely associated with the risk of diabetes development within groups with both high and low/moderate levels of exposure to PM10 or PM2.5 in older adults. Future studies are necessary to validate whether the positive health effects of MVPA outweigh the potential detrimental effects due to augmented exposure to air pollution during MVPA.
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Affiliation(s)
- Seong Rae Kim
- Department of Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Daein Choi
- Department of Medicine, Mount Sinai Beth Israel, Icahn School of Medicine at Mount Sinai, NY, USA; Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
| | - Seulggie Choi
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
| | - Kyuwoong Kim
- National Cancer Control Institute, National Cancer Center, Goyang, South Korea
| | - Gyeongsil Lee
- Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Joung Sik Son
- Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Kyae Hyung Kim
- Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea; Institute for Public Health and Medical Service, Seoul National University Hospital, Seoul, South Korea
| | - Sang Min Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea; Department of Family Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
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Debarba LK, Mulka A, Lima JBM, Didyuk O, Fakhoury P, Koshko L, Awada AA, Zhang K, Klueh U, Sadagurski M. Acarbose protects from central and peripheral metabolic imbalance induced by benzene exposure. Brain Behav Immun 2020; 89:87-99. [PMID: 32505715 DOI: 10.1016/j.bbi.2020.05.073] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 05/19/2020] [Accepted: 05/28/2020] [Indexed: 02/08/2023] Open
Abstract
Benzene is a well-known human carcinogen that is one of the major components of air pollution. Sources of benzene in ambient air include cigarette smoke, e-cigarettes vaping, and evaporation of benzene containing petrol processes. While the carcinogenic effects of benzene exposure have been well studied, less is known about the metabolic effects of benzene exposure. We show that chronic exposure to benzene at low levels induces a severe metabolic imbalance in a sex-specific manner, and is associated with hypothalamic inflammation and endoplasmic reticulum (ER) stress. Benzene exposure rapidly activates hypothalamic ER stress and neuroinflammatory responses in male mice, while pharmacological inhibition of ER stress response by inhibiting IRE1α-XBP1 pathway significantly alleviates benzene-induced glial inflammatory responses. Additionally, feeding mice with Acarbose, a clinically available anti-diabetes drug, protected against benzene induced central and peripheral metabolic imbalance. Acarbose imitates the slowing of dietary carbohydrate digestion, suggesting that choosing a diet with a low glycemic index might be a potential strategy for reducing the negative metabolic effect of chronic exposure to benzene for smokers or people living/working in urban environments with high concentrations of exposure to automobile exhausts.
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Affiliation(s)
- L K Debarba
- Department of Biological Sciences, Wayne State University, Detroit, MI, United States
| | - A Mulka
- Biomedical Engineering, IBio (Integrative Biosciences Center), Wayne State University, Detroit, MI, United States
| | - J B M Lima
- Department of Biological Sciences, Wayne State University, Detroit, MI, United States
| | - O Didyuk
- Department of Biological Sciences, Wayne State University, Detroit, MI, United States
| | - P Fakhoury
- Department of Biological Sciences, Wayne State University, Detroit, MI, United States
| | - L Koshko
- Department of Biological Sciences, Wayne State University, Detroit, MI, United States
| | - A A Awada
- Department of Biological Sciences, Wayne State University, Detroit, MI, United States
| | - K Zhang
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, United States
| | - U Klueh
- Biomedical Engineering, IBio (Integrative Biosciences Center), Wayne State University, Detroit, MI, United States
| | - M Sadagurski
- Department of Biological Sciences, Wayne State University, Detroit, MI, United States.
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Klis K, Wronka I. Associations between childhood and adolescence exposure to air pollution and adult height in polish women. Environ Res 2020; 189:109965. [PMID: 32739685 DOI: 10.1016/j.envres.2020.109965] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 04/07/2020] [Accepted: 07/15/2020] [Indexed: 06/11/2023]
Abstract
Exposure to airborne substances harmful to health during pre- and postnatal stage may significantly affect the correct development of organs and systems. Many studies analyze the relationship between air quality and health, but data on the impact of air pollution on human biological development are scanty. The aim of the study was to assess the relationships between adult body height and air quality in the place of residence during childhood and adolescence. The parameters measured included absolute stature (cm) and relative stature defined as a percentage of mean stature of both parents. The analysis covered data collected from 1257 women. Subject's height was measured. Data on parental height were obtained using a questionnaire. The level of each analysed environmental pollution in the place of residence during childhood and adolescence: particulate matter (PM10, PM2.5), sulphur dioxide (SO2), nitric dioxide (NO2) and benzene (C6H6) in the place of residence during childhood and adolescence was determined on the basis of the data made available by the Polish Chief Inspectorate for Environmental Protection. Results of our study show that mean stature decreases with growing air pollution level. Significant differences were observed both in absolute stature and relative stature (expressed as percentage of mean stature of both parents) depending on PM10 and PM2.5 levels in place of residence during childhood and adolescence as well as on the total index of air quality. The differences remain statistically significant also after adjustment for the degree of urbanisation of the place of residence and factors related to socio-economic status. Our findings suggest that air pollution level in the place of residence during childhood and adolescence has significant impact on the children growth, potentially leading to worse health status later in life.
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Affiliation(s)
- Katarzyna Klis
- Department of Human Biology, University of Wroclaw, Poland
| | - Iwona Wronka
- Department of Anthropology, Institute of Zoology and Biomedical Research, Faculty of Biology, Jagiellonian University, Krakow, Poland.
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37
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Hwang MJ, Kim JH, Koo YS, Yun HY, Cheong HK. Impacts of ambient air pollution on glucose metabolism in Korean adults: a Korea National Health and Nutrition Examination Survey study. Environ Health 2020; 19:70. [PMID: 32552747 PMCID: PMC7302244 DOI: 10.1186/s12940-020-00623-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 06/08/2020] [Indexed: 05/06/2023]
Abstract
BACKGROUND Exposure to air pollution was reported to affect glucose metabolism, increasing the risk of diabetes mellitus. We conducted an epidemiological study on glucose metabolism and air pollution by exploring the levels of fasting blood glucose (FBG) and hemoglobin A1c (HbA1c) with changes in ambient air quality, depending on the characteristics of the susceptible population. METHODS We carried out a cross-sectional analysis of a nationally representative sample of 10,014 adults (4267 in male and 5747 in female) from the Korea National Health and Nutrition Examination Survey in 2012 and 2013 along with data from the Korean Air Quality Forecasting System. The analysis was performed using a generalized linear model stratified by sex, age, and presence of diabetes. We assessed the changes in FBG and HbA1c associated with exposures to particulate matter (PM10), fine particulate matter (PM2.5), and nitrogen dioxide (NO2) after controlling for confounders. RESULTS There were 1110 participants with diabetes (557 in male and 553 in female). Overall, the FBG level increased by 7.83 mg/dL (95% confidence interval [CI]: 2.80-12.87) per interquartile range (IQR) increment of NO2, 5.32 mg/dL (95% CI: 1.22-9.41) per IQR increment of PM10 at a moving average of 0-6 days, and 4.69 mg/dL (95% CI: 0.48-8.91) per IQR increment of PM2.5 at a moving average of 0-5 days. HbA1c increased by 0.57% (95% CI: 0.04-1.09) per IQR increment of PM10 at a moving average of 0-60 days and 0.34% (95% CI: 0.04-0.63) per IQR increment of PM2.5 at a moving average of 0-75 days. The change in FBG and HbA1c increased more in the diabetic group, especially in males aged 65 years or more. There was a strong association between elevation in diabetes-related parameters and exposure to air pollution. CONCLUSIONS Our study provides scientific evidence supporting that short- and mid-term exposure to air pollution is associated with changes in biological markers related to diabetes. This finding suggests that the impact of air pollution should be reflected in chronic disease management when establishing local health care policies.
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Affiliation(s)
- Myung-Jae Hwang
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, 2066 Seobu-ro Jangan-gu, Suwon, Gyeonggi-do 16419 Republic of Korea
| | - Jong-Hun Kim
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, 2066 Seobu-ro Jangan-gu, Suwon, Gyeonggi-do 16419 Republic of Korea
| | - Youn-Seo Koo
- Department of Environmental and Energy Engineering, Anyang University, Anyang, South Korea
| | - Hui-Young Yun
- Department of Environmental and Energy Engineering, Anyang University, Anyang, South Korea
| | - Hae-Kwan Cheong
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, 2066 Seobu-ro Jangan-gu, Suwon, Gyeonggi-do 16419 Republic of Korea
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38
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Ooi DS, Tan CP, Tay MJ, Ong SG, Tham EH, Siah KTH, Eriksson JG, Godfrey KM, Shek LP, Loo EX. Developmental Origins of Health and Disease: Impact of environmental dust exposure in modulating microbiome and its association with non-communicable diseases. J Dev Orig Health Dis 2020; 11:545-56. [PMID: 32536356 DOI: 10.1017/S2040174420000549] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Non-communicable diseases (NCDs) including obesity, diabetes, and allergy are chronic, multi-factorial conditions that are affected by both genetic and environmental factors. Over the last decade, the microbiome has emerged as a possible contributor to the pathogenesis of NCDs. Microbiome profiles were altered in patients with NCDs, and shift in microbial communities was associated with improvement in these health conditions. Since the genetic component of these diseases cannot be altered, the ability to manipulate the microbiome holds great promise for design of novel therapies in the prevention and treatment of NCDs. Together, the Developmental Origins of Health and Disease concept and the microbial hypothesis propose that early life exposure to environmental stimuli will alter the development and composition of the human microbiome, resulting in health consequences. Recent studies indicated that the environment we are exposed to in early life is instrumental in shaping robust immune development, possibly through modulation of the human microbiome (skin, airway, and gut). Despite much research into human microbiome, the origin of their constituent microbiota remains unclear. Dust (also known as particulate matter) is a key determinant of poor air quality in the modern urban environment. It is ubiquitous and serves as a major source and reservoir of microbial communities that modulates the human microbiome, contributing to health and disease. There are evidence that reported significant associations between environmental dust and NCDs. In this review, we will focus on the impact of dust exposure in shaping the human microbiome and its possible contribution to the development of NCDs.
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Shenassa ED, Williams AD. Concomitant exposure to area-level poverty, ambient air volatile organic compounds, and cardiometabolic dysfunction: a cross-sectional study of U.S. adolescents. Ann Epidemiol 2020; 48:15-22. [PMID: 32778227 DOI: 10.1016/j.annepidem.2020.05.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 05/09/2020] [Accepted: 05/27/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE A key to better understanding the influence of the place of residence on cardiometabolic function is the effect of concomitant exposure to both air pollution and residence in economically marginalized areas. We hypothesized that, among adolescents, the association between air pollution and cardiometabolic function is exacerbated among residents of economically marginalized areas. METHODS In this cross-sectional study, individual-level data on cardiometabolic function collected from a representative sample of U.S. adolescents in the National Health and Nutrition Examination Survey (n = 10,415) were merged with data on area-level poverty (U.S. decennial survey and American Community Survey) and air pollution levels (National-Scale Air Toxics Assessment ) using contemporary census-tract identifiers. We excluded respondents who were pregnant, had hypertension or diabetes or using medication for hypertension or diabetes, or with missing data on outcome variables. RESULTS We observed a significant interaction between area-level poverty and air pollution. Among residents of high-poverty areas, exposure to high levels of air pollution predicted a 30% elevated odds of cardiometabolic dysfunction (OR = 1.30; 95% CI: 1.04, 1.61), whereas in low-poverty areas, exposure to high levels of air pollution was not associated with elevated odds of cardiometabolic dysfunction (OR = 1.04; 95% CI: 0.85, 1.28). CONCLUSIONS Our findings suggest that the cardiometabolic consequences of air pollution are more readily realized among residents of economically marginalized areas. Structural remedies are discussed.
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Affiliation(s)
- Edmond D Shenassa
- Maternal and Child Health Program, Department of Family Science, University of Maryland, College Park; Department of Epidemiology and Biostatistics, University of Maryland, College Park, MD; Department of Epidemiology and Biostatistics, School of Public Health, Brown University, Providence, RI; Department of Epidemiology and Biostatistics, School of Medicine, University of Maryland Baltimore, Baltimore, MD.
| | - Andrew D Williams
- Public Health Program, School of Medicine & Health Sciences, University of North Dakota, Grand Forks
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Zhang H, Wang Q, He S, Wu K, Ren M, Dong H, Di J, Yu Z, Huang C. Ambient air pollution and gestational diabetes mellitus: A review of evidence from biological mechanisms to population epidemiology. Sci Total Environ 2020; 719:137349. [PMID: 32114225 DOI: 10.1016/j.scitotenv.2020.137349] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 02/06/2020] [Accepted: 02/14/2020] [Indexed: 05/26/2023]
Abstract
Gestational diabetes mellitus (GDM) is a serious complication of pregnancy that could cause adverse health effects on both mothers and fetuses, and its prevalence has been increasing worldwide. Experimental and epidemiological studies suggest that air pollution may be an important risk factor of GDM, but conclusions are inconsistent. To provide a comprehensive overview of ambient air pollution on GDM, we summarized existing evidence concerning biological linkages between maternal exposure to air pollutants and GDM based on mechanism studies. We also performed a quantitative meta-analysis based on human epidemiological studies by searching English databases (Pubmed, Web of Science and Embase) and Chinese databases (Wanfang, CNKI). As a result, the limited mechanism studies indicated that β-cell dysfunction, neurohormonal disturbance, inflammation, oxidative stress, imbalance of gut microbiome and insulin resistance may be involved in air pollution-GDM relationship, but few studies were performed to explore the direct biological linkage. Additionally, a total of 13 epidemiological studies were included in the meta-analysis, and the air pollutants considered included PM2.5, PM10, SO2, NO2 and O3. Most studies were retrospective and mainly conducted in developed regions. The results of meta-analysis indicated that maternal first trimester exposure to SO2 increased the risk of GDM (standardized odds ratio (OR) = 1.392, 95% confidence intervals (CI): 1.010, 1.773), while pre-pregnancy O3 exposure was inversely associated with GDM risk (standardized OR = 0.981, 95% CI: 0.977, 0.985). No significant effects were observed for PM2.5, PM10 and NO2. In conclusion, additional mechanism studies on the molecular level are needed to provide persuasive rationale underlying the air pollution-GDM relationship. Moreover, other important risk factors of GDM, including maternal lifestyle and road traffic noise exposure that may modify the air pollution-GDM relationship should be considered in future epidemiological studies. More prospective cohort studies are also warranted in developing countries with high levels of air pollution.
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Affiliation(s)
- Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou 450001, China; School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qiong Wang
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Simin He
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Kaipu Wu
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Meng Ren
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Haotian Dong
- School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Jiangli Di
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
| | - Cunrui Huang
- School of Public Health, Zhengzhou University, Zhengzhou 450001, China; School of Public Health, Sun Yat-sen University, Guangzhou 510080, China; Shanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai 200030, China.
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Fouladi F, Bailey MJ, Patterson WB, Sioda M, Blakley IC, Fodor AA, Jones RB, Chen Z, Kim JS, Lurmann F, Martino C, Knight R, Gilliland FD, Alderete TL. Air pollution exposure is associated with the gut microbiome as revealed by shotgun metagenomic sequencing. Environ Int 2020; 138:105604. [PMID: 32135388 PMCID: PMC7181344 DOI: 10.1016/j.envint.2020.105604] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 02/20/2020] [Accepted: 02/21/2020] [Indexed: 05/17/2023]
Abstract
Animal work indicates exposure to air pollutants may alter the composition of the gut microbiota. This study examined relationships between air pollutants and the gut microbiome in young adults residing in Southern California. Our results demonstrate significant associations between exposure to air pollutants and the composition of the gut microbiome using whole-genome sequencing. Higher exposure to 24-hour O3 was associated with lower Shannon diversity index, higher Bacteroides caecimuris, and multiple gene pathways, including L-ornithine de novo biosynthesis as well as pantothenate and coenzyme A biosynthesis I. Among other pollutants, higher NO2 exposure was associated with fewer taxa, including higher Firmicutes. The percent variation in gut bacterial composition that was explained by air pollution exposure was up to 11.2% for O3 concentrations, which is large compared to the effect size for many other covariates reported in healthy populations. This study provides the first evidence of significant associations between exposure to air pollutants and the compositional and functional profile of the human gut microbiome. These results identify O3 as an important pollutant that may alter the human gut microbiome.
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Affiliation(s)
- Farnaz Fouladi
- University of North Carolina at Charlotte, Charlotte, NC, USA
| | | | | | - Michael Sioda
- University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Ivory C Blakley
- University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Anthony A Fodor
- University of North Carolina at Charlotte, Charlotte, NC, USA
| | | | - Zhanghua Chen
- University of Southern California, Los Angeles, CA, USA
| | | | | | - Cameron Martino
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Rob Knight
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA; Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA; Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
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Wong SF, Yap PS, Mak JW, Chan WLE, Khor GL, Ambu S, Chu WL, Mohamad MS, Ibrahim Wong N, Ab Majid NL, Abd Hamid HA, Rodzlan Hasani WS, Mohd Yussoff MFB, Aris HTB, Ab Rahman EB, M Rashid ZB. Association between long-term exposure to ambient air pollution and prevalence of diabetes mellitus among Malaysian adults. Environ Health 2020; 19:37. [PMID: 32245482 PMCID: PMC7119016 DOI: 10.1186/s12940-020-00579-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 02/18/2020] [Indexed: 02/16/2023]
Abstract
Background Malaysia has the highest rate of diabetes mellitus (DM) in the Southeast Asian region, and has ongoing air pollution and periodic haze exposure. Methods Diabetes data were derived from the Malaysian National Health and Morbidity Surveys conducted in 2006, 2011 and 2015. The air pollution data (NOx, NO2, SO2, O3 and PM10) were obtained from the Department of Environment Malaysia. Using multiple logistic and linear regression models, the association between long-term exposure to these pollutants and prevalence of diabetes among Malaysian adults was evaluated. Results The PM10 concentration decreased from 2006 to 2014, followed by an increase in 2015. Levels of NOx decreased while O3 increased annually. The air pollutant levels based on individual modelled air pollution exposure as measured by the nearest monitoring station were higher than the annual averages of the five pollutants present in the ambient air. The prevalence of overall diabetes increased from 11.4% in 2006 to 21.2% in 2015. The prevalence of known diabetes, underdiagnosed diabetes, overweight and obesity also increased over these years. There were significant positive effect estimates of known diabetes at 1.125 (95% CI, 1.042, 1.213) for PM10, 1.553 (95% CI, 1.328, 1.816) for O3, 1.271 (95% CI, 1.088, 1.486) for SO2, 1.124 (95% CI, 1.048, 1.207) for NO2, and 1.087 (95% CI, 1.024, 1.153) for NOx for NHMS 2006. The adjusted annual average levels of PM10 [1.187 (95% CI, 1.088, 1.294)], O3 [1.701 (95% CI, 1.387, 2.086)], NO2 [1.120 (95% CI, 1.026, 1.222)] and NOx [1.110 (95% CI, 1.028, 1.199)] increased significantly from NHMS 2006 to NHMS 2011 for overall diabetes. This was followed by a significant decreasing trend from NHMS 2011 to 2015 [0.911 for NO2, and 0.910 for NOx]. Conclusion The findings of this study suggest that long-term exposure to O3 is an important associated factor of underdiagnosed DM risk in Malaysia. PM10, NO2 and NOx may have mixed effect estimates towards the risk of DM, and their roles should be further investigated with other interaction models. Policy and intervention measures should be taken to reduce air pollution in Malaysia.
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Affiliation(s)
- Shew Fung Wong
- Institute for Research, Development and Innovation (IRDI), International Medical University, 57000, Kuala Lumpur, Malaysia. .,School of Medicine, International Medical University, 57000, Kuala Lumpur, Malaysia.
| | - Poh Sin Yap
- Institute for Research, Development and Innovation (IRDI), International Medical University, 57000, Kuala Lumpur, Malaysia.,School of Postgraduate Studies, International Medical University, 57000, Kuala Lumpur, Malaysia
| | - Joon Wah Mak
- Institute for Research, Development and Innovation (IRDI), International Medical University, 57000, Kuala Lumpur, Malaysia.,School of Medicine, International Medical University, 57000, Kuala Lumpur, Malaysia.,School of Postgraduate Studies, International Medical University, 57000, Kuala Lumpur, Malaysia
| | - Wan Ling Elaine Chan
- Institute for Research, Development and Innovation (IRDI), International Medical University, 57000, Kuala Lumpur, Malaysia
| | - Geok Lin Khor
- School of Postgraduate Studies, International Medical University, 57000, Kuala Lumpur, Malaysia
| | - Stephen Ambu
- Institute for Research, Development and Innovation (IRDI), International Medical University, 57000, Kuala Lumpur, Malaysia.,School of Medicine, International Medical University, 57000, Kuala Lumpur, Malaysia.,School of Postgraduate Studies, International Medical University, 57000, Kuala Lumpur, Malaysia
| | - Wan Loy Chu
- Institute for Research, Development and Innovation (IRDI), International Medical University, 57000, Kuala Lumpur, Malaysia.,School of Medicine, International Medical University, 57000, Kuala Lumpur, Malaysia.,School of Postgraduate Studies, International Medical University, 57000, Kuala Lumpur, Malaysia
| | - Maria Safura Mohamad
- Institute for Public Health, Ministry of Health, 40170, Shah Alam, Selangor, Malaysia
| | | | - Nur Liana Ab Majid
- Institute for Public Health, Ministry of Health, 40170, Shah Alam, Selangor, Malaysia
| | | | | | | | - Hj Tahir Bin Aris
- Institute for Public Health, Ministry of Health, 40170, Shah Alam, Selangor, Malaysia
| | - Ezahtulsyahreen Bt Ab Rahman
- Department of Environment, Ministry of Energy, Technology, Science, Environment and Climate Change, 62662, Putrajaya, Malaysia
| | - Zaleha Bt M Rashid
- Department of Environment, Ministry of Energy, Technology, Science, Environment and Climate Change, 62662, Putrajaya, Malaysia
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43
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Kim JB, Prunicki M, Haddad F, Dant C, Sampath V, Patel R, Smith E, Akdis C, Balmes J, Snyder MP, Wu JC, Nadeau KC. Cumulative Lifetime Burden of Cardiovascular Disease From Early Exposure to Air Pollution. J Am Heart Assoc 2020; 9:e014944. [PMID: 32174249 PMCID: PMC7335506 DOI: 10.1161/jaha.119.014944] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The disease burden associated with air pollution continues to grow. The World Health Organization (WHO) estimates ≈7 million people worldwide die yearly from exposure to polluted air, half of which-3.3 million-are attributable to cardiovascular disease (CVD), greater than from major modifiable CVD risks including smoking, hypertension, hyperlipidemia, and diabetes mellitus. This serious and growing health threat is attributed to increasing urbanization of the world's populations with consequent exposure to polluted air. Especially vulnerable are the elderly, patients with pre-existing CVD, and children. The cumulative lifetime burden in children is particularly of concern because their rapidly developing cardiopulmonary systems are more susceptible to damage and they spend more time outdoors and therefore inhale more pollutants. World Health Organization estimates that 93% of the world's children aged <15 years-1.8 billion children-breathe air that puts their health and development at risk. Here, we present growing scientific evidence, including from our own group, that chronic exposure to air pollution early in life is directly linked to development of major CVD risks, including obesity, hypertension, and metabolic disorders. In this review, we surveyed the literature for current knowledge of how pollution exposure early in life adversely impacts cardiovascular phenotypes, and lay the foundation for early intervention and other strategies that can help prevent this damage. We also discuss the need for better guidelines and additional research to validate exposure metrics and interventions that will ultimately help healthcare providers reduce the growing burden of CVD from pollution.
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Affiliation(s)
- Juyong Brian Kim
- Division of Cardiovascular MedicineDepartment of MedicineStanford UniversityStanfordCA
- Stanford Cardiovascular InstituteStanford UniversityStanfordCA
| | - Mary Prunicki
- Sean N. Parker Center for Allergy and Asthma ResearchStanford UniversityStanfordCA
| | - Francois Haddad
- Division of Cardiovascular MedicineDepartment of MedicineStanford UniversityStanfordCA
- Stanford Cardiovascular InstituteStanford UniversityStanfordCA
| | - Christopher Dant
- Sean N. Parker Center for Allergy and Asthma ResearchStanford UniversityStanfordCA
| | - Vanitha Sampath
- Sean N. Parker Center for Allergy and Asthma ResearchStanford UniversityStanfordCA
| | - Rushali Patel
- Sean N. Parker Center for Allergy and Asthma ResearchStanford UniversityStanfordCA
| | - Eric Smith
- Sean N. Parker Center for Allergy and Asthma ResearchStanford UniversityStanfordCA
| | - Cezmi Akdis
- Swiss Institute for Allergy and Asthma Research (SIAF)University of ZurichDavosSwitzerland
| | - John Balmes
- Department of MedicineUniversity of California San Francisco and Division of Environmental Health SciencesSchool of Public HealthUniversity of California BerkeleyCA
| | - Michael P. Snyder
- Department of Genetics and Center for Genomics and Personalized MedicineStanford UniversityStanfordCA
| | - Joseph C. Wu
- Stanford Cardiovascular InstituteStanford UniversityStanfordCA
| | - Kari C. Nadeau
- Sean N. Parker Center for Allergy and Asthma ResearchStanford UniversityStanfordCA
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44
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Jagai JS, Krajewski AK, Shaikh S, Lobdell DT, Sargis RM. Association between environmental quality and diabetes in the USA. J Diabetes Investig 2020; 11:315-324. [PMID: 31579986 PMCID: PMC7078099 DOI: 10.1111/jdi.13152] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 08/08/2019] [Accepted: 09/19/2019] [Indexed: 12/16/2022] Open
Abstract
AIMS/INTRODUCTION Caloric excess and physical inactivity fail to fully account for the rise of diabetes prevalence. Individual environmental pollutants can disrupt glucose homeostasis and promote metabolic dysfunction. However, the impact of cumulative exposures on diabetes risk is unknown. MATERIALS AND METHODS The Environmental Quality Index, a county-level index composed of five domains, was developed to capture the multifactorial ambient environmental exposures. The Environmental Quality Index was linked to county-level annual age-adjusted population-based estimates of diabetes prevalence rates. Prevalence differences (PD, annual difference per 100,000 persons) and 95% confidence intervals (CI) were estimated using random intercept mixed effects linear regression models. Associations were assessed for overall environmental quality and domain-specific indices, and all analyses were stratified by four rural-urban strata. RESULTS Comparing counties in the highest quintile/poorest environmental quality to those in the lowest quintile/best environmental quality, counties with poor environmental quality demonstrated lower total diabetes prevalence rates. Associations varied by rural-urban strata; overall better environmental quality was associated with lower total diabetes prevalence rates in the less urbanized and thinly populated strata. When considering all counties, good sociodemographic environments were associated with lower total diabetes prevalence rates (prevalence difference 2.77, 95% confidence interval 2.71-2.83), suggesting that counties with poor sociodemographic environments have an annual prevalence rate 2.77 per 100,000 persons higher than counties with good sociodemographic environments. CONCLUSIONS Increasing attention has focused on environmental exposures as contributors to diabetes pathogenesis, and the present findings suggest that comprehensive approaches to diabetes prevention must include interventions to improve environmental quality.
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Affiliation(s)
- Jyotsna S Jagai
- School of Public HealthDivision of Environmental and Occupational Health SciencesUniversity of Illinois at ChicagoChicagoIllinoisUSA
| | - Alison K Krajewski
- Oak Ridge Institute for Science and EducationNational Health and Environmental Effects Research LaboratoryEnvironmental Public Health DivisionU.S. Environmental Protection AgencyChapel HillNorth CarolinaUSA
| | - Sabina Shaikh
- Program on Global Environment and Public Policy StudiesUniversity of ChicagoChicagoIllinoisUSA
| | - Danelle T Lobdell
- National Health and Environmental Effects Research LaboratoryEnvironmental Public Health DivisionU.S. Environmental Protection AgencyChapel HillNorth CarolinaUSA
| | - Robert M Sargis
- Department of MedicineDivision of Endocrinology, Diabetes, and MetabolismUniversity of Illinois at ChicagoChicagoIllinoisUSA
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45
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Abplanalp WT, Wickramasinghe NS, Sithu SD, Conklin DJ, Xie Z, Bhatnagar A, Srivastava S, O'Toole TE. Benzene Exposure Induces Insulin Resistance in Mice. Toxicol Sci 2020; 167:426-437. [PMID: 30346588 DOI: 10.1093/toxsci/kfy252] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Benzene is a ubiquitous pollutant associated with hematotoxicity but its metabolic effects are unknown. We sought to determine if and how exposure to volatile benzene impacted glucose handling. We exposed wild type C57BL/6 mice to volatile benzene (50 ppm × 6 h/day) or HEPA-filtered air for 2 or 6 weeks and measured indices of oxidative stress, inflammation, and insulin signaling. Compared with air controls, we found that mice inhaling benzene demonstrated increased plasma glucose (p = .05), insulin (p = .03), and HOMA-IR (p = .05), establishing a state of insulin and glucose intolerance. Moreover, insulin-stimulated Akt phosphorylation was diminished in the liver (p = .001) and skeletal muscle (p = .001) of benzene-exposed mice, accompanied by increases in oxidative stress and Nf-κb phosphorylation (p = .025). Benzene-exposed mice also demonstrated elevated levels of Mip1-α transcripts and Socs1 (p = .001), but lower levels of Irs-2 tyrosine phosphorylation (p = .0001). Treatment with the superoxide dismutase mimetic, TEMPOL, reversed benzene-induced effects on oxidative stress, Nf-κb phosphorylation, Socs1 expression, Irs-2 tyrosine phosphorylation, and systemic glucose intolerance. These findings suggest that exposure to benzene induces insulin resistance and that this may be a sensitive indicator of inhaled benzene toxicity. Persistent ambient benzene exposure may be a heretofore unrecognized contributor to the global human epidemics of diabetes and cardiovascular disease.
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Affiliation(s)
- Wesley T Abplanalp
- Department of Medicine, Diabetes and Obesity Center, University of Louisville, Louisville, Kentucky 40292
| | - Nalinie S Wickramasinghe
- Department of Medicine, Diabetes and Obesity Center, University of Louisville, Louisville, Kentucky 40292.,Envirome Institute, University of Louisville, Louisville, Kentucky 40292.,University of Louisville Superfund Research Center, Louisville, Kentucky 40202
| | - Srinivas D Sithu
- Department of Medicine, Diabetes and Obesity Center, University of Louisville, Louisville, Kentucky 40292.,Envirome Institute, University of Louisville, Louisville, Kentucky 40292.,University of Louisville Superfund Research Center, Louisville, Kentucky 40202
| | - Daniel J Conklin
- Department of Medicine, Diabetes and Obesity Center, University of Louisville, Louisville, Kentucky 40292.,Envirome Institute, University of Louisville, Louisville, Kentucky 40292.,University of Louisville Superfund Research Center, Louisville, Kentucky 40202
| | - Zhengzhi Xie
- Department of Medicine, Diabetes and Obesity Center, University of Louisville, Louisville, Kentucky 40292.,Envirome Institute, University of Louisville, Louisville, Kentucky 40292.,University of Louisville Superfund Research Center, Louisville, Kentucky 40202
| | - Aruni Bhatnagar
- Department of Medicine, Diabetes and Obesity Center, University of Louisville, Louisville, Kentucky 40292.,Envirome Institute, University of Louisville, Louisville, Kentucky 40292.,University of Louisville Superfund Research Center, Louisville, Kentucky 40202
| | - Sanjay Srivastava
- Department of Medicine, Diabetes and Obesity Center, University of Louisville, Louisville, Kentucky 40292.,Envirome Institute, University of Louisville, Louisville, Kentucky 40292.,University of Louisville Superfund Research Center, Louisville, Kentucky 40202
| | - Timothy E O'Toole
- Department of Medicine, Diabetes and Obesity Center, University of Louisville, Louisville, Kentucky 40292.,Envirome Institute, University of Louisville, Louisville, Kentucky 40292.,University of Louisville Superfund Research Center, Louisville, Kentucky 40202
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46
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Odinga ES, Waigi MG, Gudda FO, Wang J, Yang B, Hu X, Li S, Gao Y. Occurrence, formation, environmental fate and risks of environmentally persistent free radicals in biochars. Environ Int 2020; 134:105172. [PMID: 31739134 DOI: 10.1016/j.envint.2019.105172] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 09/04/2019] [Accepted: 09/08/2019] [Indexed: 05/22/2023]
Abstract
Biochars are used globally in agricultural crop production and environmental remediation. However, environmentally persistent free radicals (EPFRs), which are stable emerging pollutants, are generated as a characteristic feature during biomass pyrolysis. EPFRs can induce the formation of reactive oxygen species, which poses huge agro-environmental and human health risks. Their half-lives and persistence in both biochar residues and in the atmosphere may lead to potentially adverse risks in the environment. This review highlights the comprehensive research into these bioreactive radicals, as well as the bottlenecks of biochar production leading up to the formation and persistence of EPFRs. Additionally, a way forward has been proposed, based on two main recommendations. A global joint initiative to create an all-encompassing regulations policy document that will improve both the technological and the quality control aspects of biochars to reduce EPFR generation at the production level. Furthermore, environmental impact and risk assessment studies should be conducted in the extensive applications of biochars in order to protect the environmental and human health. The highlighted key research directions proposed herein will shape the production, research, and adoption aspects of biochars, which will mitigate the considerable concerns raised on EPFRs.
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Affiliation(s)
- Emmanuel Stephen Odinga
- Institute of Organic Contaminant Control and Soil Remediation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Michael Gatheru Waigi
- Institute of Organic Contaminant Control and Soil Remediation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Fredrick Owino Gudda
- Institute of Organic Contaminant Control and Soil Remediation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Jian Wang
- Institute of Organic Contaminant Control and Soil Remediation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Bing Yang
- Institute of Organic Contaminant Control and Soil Remediation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiaojie Hu
- Institute of Organic Contaminant Control and Soil Remediation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Shunyao Li
- Institute of Organic Contaminant Control and Soil Remediation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China
| | - Yanzheng Gao
- Institute of Organic Contaminant Control and Soil Remediation, College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing 210095, China.
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47
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Zhang Z, Dong B, Li S, Chen G, Yang Z, Dong Y, Wang Z, Guo Y, Ma J. Particulate matter air pollution and blood glucose in children and adolescents: A cross-sectional study in China. Sci Total Environ 2019; 691:868-873. [PMID: 31326810 DOI: 10.1016/j.scitotenv.2019.07.179] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 07/01/2019] [Accepted: 07/12/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND The health effects of particulate matter (PM) air pollution on glucose metabolism have been rarely examined in children and adolescents. OBJECTIVE We aimed to investigate the associations between long-term PM exposure and blood glucose and prevalence of impaired fasting glucose in a large population of Chinese children and adolescents. METHODS In 2013, a total of 11,814 children and adolescents aged 7 to 18 years were recruited from seven provinces/municipalities in China. Fasting blood sample was taken for the measurement of blood glucose. Satellite-based spatial-temporal models were used to estimate exposure to ambient submicrometer particles (PM1), fine particles (PM2.5) and thoracic particles (PM10). Cross-sectional analyses were performed using mixed-effects multivariable linear and logistic regression models. RESULTS After adjustment for a range of covariates, every 10 μg/m3 increment in PM1, PM2.5 and PM10 concentrations was associated with 0.160 [95% confidence interval (CI): 0.039, 0.280], 0.150 (95% CI: 0.044, 0.256) and 0.079 (95% CI: -0.009, 0.167) mmol/L higher blood glucose levels, respectively. PM exposure was also associated with higher prevalence of impaired fasting glucose, but the associations did not reach statistical significance [odds ratio per 10 μg/m3 increment in PM1, PM2.5 and PM10: 1.30 (95% CI: 0.86,1.96), 1.20 (95% CI: 0.85,1.69) and 1.08 (95% CI: 0.83,1.41)]. CONCLUSIONS We found that long-term exposure to PM air pollution was associated with increased levels of blood glucose in children and adolescents. The associations were more evident for PM1 and PM2.5.
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Affiliation(s)
- Zilong Zhang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China; Department of Environmental and Occupational Health, Public Health Ontario, Toronto, ON, Canada; Primary Care and Population Health Research Program, Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
| | - Bin Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Gongbo Chen
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, Hubei, China
| | - Zhaogeng Yang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Zhenghe Wang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.
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48
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Curto A, Ranzani O, Milà C, Sanchez M, Marshall JD, Kulkarni B, Bhogadi S, Kinra S, Wellenius GA, Tonne C. Lack of association between particulate air pollution and blood glucose levels and diabetic status in peri-urban India. Environ Int 2019; 131:105033. [PMID: 31376594 PMCID: PMC6718580 DOI: 10.1016/j.envint.2019.105033] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 06/27/2019] [Accepted: 07/16/2019] [Indexed: 05/15/2023]
Abstract
BACKGROUND Limited evidence exists on the effect of particulate air pollution on blood glucose levels. We evaluated the associations of residential and personal levels of fine particulate matter (PM2.5) and black carbon (BC) with blood glucose and diabetic status among residents of 28 peri-urban villages in South India. METHODS We used cross-sectional data from 5065 adults (≥18 years, 54% men) included in the Andhra Pradesh Children and Parents Study. Fasting plasma glucose was measured once in 2010-2012 and prevalent prediabetes and diabetes were defined following the American Diabetes Association criteria. We estimated annual ambient PM2.5 and BC levels at residence using land-use regression models and annual personal exposure to PM2.5 and BC using prediction models based on direct measurements from a subsample of 402 participants. We used linear and logistic nested mixed-effect models to assess the association between exposure metrics and health outcomes. For personal exposures, we stratified analyses by sex. RESULTS Mean (SD) residential PM2.5 and BC were 32.9 (2.6) μg/m3 and 2.5 (2.6) μg/m3, respectively; personal exposures to PM2.5 and BC were 54.5 (11.5) μg/m3 and 5.8 (2.5) μg/m3, respectively. Average (SD) fasting blood glucose was 5.3 (1.3) mmol/l, 16% of participants had prediabetes, and 5.5% had diabetes. Residential PM2.5 and BC were not associated with higher blood glucose levels. Personal PM2.5 (20 μg/m3 increase) and BC (1 μg/m3 increase) were negatively associated with blood glucose levels in women (PM2.5: -1.93, 95%CI: -3.12, -0.73; BC: -0.63, 95%CI: -0.90, -0.37). In men, associations were negative for personal PM2.5 (-1.99, 95%CI: -3.56, -0.39) and positive for personal BC (0.49, 95%CI: -0.44, 1.43). We observed no evidence of associations between any exposure and prevalence of prediabetes/diabetes. CONCLUSIONS Our results do not provide evidence that residential exposures to PM2.5 or BC are associated with blood glucose or prevalence of prediabetes/diabetes in this population. Associations with personal exposure may have been affected by unmeasured confounding, highlighting a challenge in using personal exposure estimates in air pollution epidemiology. These associations should be further examined in longitudinal studies.
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Affiliation(s)
- Ariadna Curto
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Otavio Ranzani
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Carles Milà
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Margaux Sanchez
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Julian D Marshall
- Department of Civil and Environmental Engineering, University of Washington, WA, USA
| | - Bharati Kulkarni
- National Institute of Nutrition, Indian Council of Medical Research, Hyderabad, India
| | - Santhi Bhogadi
- Public Health Foundation of India, Indian Institute for Public Health, Hyderabad, India
| | - Sanjay Kinra
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Gregory A Wellenius
- Department of Epidemiology, Brown University School of Public Health, RI, USA
| | - Cathryn Tonne
- ISGlobal, Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Spain.
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49
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Pedersen M, Halldorsson TI, Ketzel M, Grandström C, Raaschou-Nielsen O, Jensen SS, Grunnet LG, Vaag A, Sørensen M, Olsen SF. Associations between ambient air pollution and noise from road traffic with blood pressure and insulin resistance in children from Denmark. Environ Epidemiol 2019; 3:e069. [PMID: 33778342 DOI: 10.1097/EE9.0000000000000069] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 09/04/2019] [Indexed: 01/01/2023] Open
Abstract
Supplemental Digital Content is available in the text. Background: Road traffic is a major source of air pollution and noise. Both exposures may contribute to increased blood pressure and metabolic disease; however, few studies have examined these relationships in children. Objectives: We aimed to investigate whether long-term exposures to air pollution and noise from road traffic were associated with increased blood pressure and insulin resistance in children. Methods: Cardiometabolic outcomes were derived from a follow-up examination of 629 children (10–15 years old) enrolled in the Danish National Birth Cohort. We evaluated associations with prenatal and postnatal residential exposure to nitrogen dioxide (NO2) and noise from road traffic (Lden) using historical addresses and linear regression models. Results: A 10-unit increase in postnatal exposure to NO2 and Lden was associated with a 0.31 (−0.87, 1.48) and 0.18 (−0.61, 0.96) mmHg changes in diastolic blood pressure, respectively. In contrast, both exposures were associated with decreased systolic blood pressure. After adjustment and mutual adjustment for NO2, exposure to Lden was associated with a statistical significant decrease in systolic blood pressure both during prenatal and postnatal life, but the majority of the associations evaluated did not reach statistical significance. Inverse associations were observed for plasma fasting glucose, insulin, and HOMA of insulin resistance for both exposures, exposure windows, before and after adjustment. Conclusions: The findings do not support evidence of associations between long-term exposures to air pollution and road traffic noise, increased blood pressure, and a metabolic profile characteristic of increased risk for glucose intolerance or type 2 diabetes later in life.
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50
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Cai L, Wang S, Gao P, Shen X, Jalaludin B, Bloom MS, Wang Q, Bao J, Zeng X, Gui Z, Chen Y, Huang C. Effects of ambient particulate matter on fasting blood glucose among primary school children in Guangzhou, China. Environ Res 2019; 176:108541. [PMID: 31271922 DOI: 10.1016/j.envres.2019.108541] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 06/06/2019] [Accepted: 06/17/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Exposure to ambient particulate matter (PM) has been linked with diabetes and elevated blood glucose in adults. However, there are few reports on the effects of PM on fasting blood glucose (FBG) among children. OBJECTIVES The study aimed to assess the associations between medium-term exposure of ambient particles with diameters ≤2.5 μm (PM2.5), and ≤10 μm (PM10) and FBG in a general population of children, and also to explore the modifying effects of diet. METHODS In this cross-sectional study, we enrolled 4234 children (aged 6-13 years) residing in Guangzhou, China, in 2017. Individual PM2.5 and PM10 exposures during the 186-day period before each physical examination were retrospectively estimated by an inverse distance weighting interpolation and time-weighted approach according to their home address, school address, and activity patterns. Linear mixed effect models were used to examine the relationships between PM2.5 and PM10 with FBG after adjusting for covariates. RESULTS We found that per 10 μg/m3 increase in PM2.5 and PM10 levels during the 186-day period were associated with 2.3% (95% CI: 1.0%, 3.8%) higher FBG and 0.9% (95% CI: 0.5%, 1.4%) higher FBG, respectively. Stronger effect estimates were observed among subgroups of children with a family history of diabetes, and higher intake of sugar-sweetened beverages (SSBs). Also, we found significant interactions between PM2.5 concentration and family history of diabetes and SSBs intake on FBG. CONCLUSIONS Medium-term exposure to ambient PM2.5 and PM10 were associated with higher FBG levels in children, and that higher SSBs intake might modify these associations.
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Affiliation(s)
- Li Cai
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, China
| | - Suhan Wang
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, China; Laboratory of Meteorology and Health, Shanghai Meteorological Service, China
| | - Peng Gao
- Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, China
| | - Xiaoting Shen
- Center for Reproductive Medicine, The First Affiliated Hospital of Sun Yat-sen University, China
| | - Bin Jalaludin
- Population Health, South Western Sydney Local Health District, Liverpool, NSW, 2170, Australia
| | - Michael S Bloom
- Department of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY, 12144, USA
| | - Qiong Wang
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, China; Laboratory of Meteorology and Health, Shanghai Meteorological Service, China
| | - Junzhe Bao
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, China; Laboratory of Meteorology and Health, Shanghai Meteorological Service, China
| | - Xia Zeng
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, China
| | - Zhaohuan Gui
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, China
| | - Yajun Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, China.
| | - Cunrui Huang
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, China; Laboratory of Meteorology and Health, Shanghai Meteorological Service, China.
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