51
|
Zhang Y, Chen H, Du R, Zhang S, Zhao H. Microbial Activity and Community Structure in PM 2 .5 at Different Heights in Ground Boundary Layer of Beijing Atmosphere under Various Air Quality Levels. Environ Microbiol 2022; 24:4013-4029. [PMID: 35466499 DOI: 10.1111/1462-2920.16023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 03/10/2022] [Accepted: 04/19/2022] [Indexed: 11/29/2022]
Abstract
The outbreak of the COVID-19 epidemic is a reminder that aerosols have important health effects as a potential route for disease transmission. Biological components in aerosols (especially PM2.5 ) may pose potential threats to humans as pathogens and allergens. Research on PM2.5 and biological components currently focuses mainly on polluted conditions, with less emphasis on clean environments. Sampling has also been primarily based on a single point with a lack of data at different positions. In this study, a modified fluorescein diacetate hydrolysis method was used to measure microbial activity in PM2.5 at different altitudes over a year in Beijing, China. A high-throughput sequencing method was used to study the microbial community. Results showed that microbial activity 1.5 m (0.0465 ng m-3 ) above the ground was higher than 31.5 m (0.0348 ng m-3 ). There was higher microbial activity at both heights during spring. Furthermore, a positive correlation was observed between microbial activity and relative abundance of dominant species. Microbial activity increased during autumn and winter increased alongside the pollution level, but in spring higher levels of microbial activity were observed in excellent or good weather conditions. The results from this study are valuable for further research regarding the biological components of atmospheric PM, the prevention of biological pollution, and establishing a comprehensive air quality evaluation system. This article is protected by copyright. All rights reserved.
Collapse
Affiliation(s)
- Yongtao Zhang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hanlin Chen
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Rui Du
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Sujian Zhang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hua Zhao
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| |
Collapse
|
52
|
Mousavi SE, Delgado-Saborit JM, Adivi A, Pauwels S, Godderis L. Air pollution and endocrine disruptors induce human microbiome imbalances: A systematic review of recent evidence and possible biological mechanisms. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 816:151654. [PMID: 34785217 DOI: 10.1016/j.scitotenv.2021.151654] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/26/2021] [Accepted: 11/09/2021] [Indexed: 05/25/2023]
Abstract
A rich body of literature indicates that environmental factors interact with the human microbiome and influence its composition and functions contributing to the pathogenesis of diseases in distal sites of the body. This systematic review examines the scientific evidence on the effect of environmental toxicants, air pollutants and endocrine disruptors (EDCs), on compositional and diversity of human microbiota. Articles from PubMed, Embase, WoS and Google Scholar where included if they focused on human populations or the SHIME® model, and assessed the effects of air pollutants and EDCs on human microbiome. Non-human studies, not written in English and not displaying original research were excluded. The Newcastle-Ottawa Scale was used to assess the quality of individual studies. Results were extracted and presented in tables. 31 studies were selected, including 24 related to air pollutants, 5 related to EDCs, and 2 related to EDC using the SHIME® model. 19 studies focussed on the respiratory system (19), gut (8), skin (2), vaginal (1) and mammary (1) microbiomes. No sufficient number of studies are available to observe a consistent trend for most of the microbiota, except for streptococcus and veillionellales for which 9 out of 10, and 3 out of 4 studies suggest an increase of abundance with exposure to air pollution. A limitation of the evidence reviewed is the scarcity of existing studies assessing microbiomes from individual systems. Growing evidence suggests that exposure to environmental contaminants could change the diversity and abundance of resident microbiota, e.g. in the upper and lower respiratory, gastrointestinal, and female reproductive system. Microbial dysbiosis might lead to colonization of pathogens and outgrowth of pathobionts facilitating infectious diseases. It also might prime metabolic dysfunctions disrupting the production of beneficial metabolites. Further studies should elucidate the role of environmental pollutants in the development of dysbiosis and dysregulation of microbiota-related immunological processes.
Collapse
Affiliation(s)
- Sayed Esmaeil Mousavi
- Department of Water and Wastewater Treatment, Water and Wastewater Consulting Engineers (Design & Research), Isfahan, Iran
| | - Juana Maria Delgado-Saborit
- Perinatal Epidemiology, Environmental Health and Clinical Research, School of Medicine, Universitat Jaume I, Castellon, Spain; Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, United Kingdom; School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
| | - Anna Adivi
- Advanced Environmental Research Institute, Department of Biological Sciences, University of North Texas, Denton, TX 76201, USA
| | - Sara Pauwels
- Department of Public Health and Primary Care, Centre Environment & Health, KU Leuven, Belgium
| | - Lode Godderis
- Department of Public Health and Primary Care, Centre Environment & Health, KU Leuven, Belgium; IDEWE, External Service for Prevention and Protection at work, Interleuvenlaan 58, 3001 Heverlee, Belgium.
| |
Collapse
|
53
|
Qu S, Deng S, Yang T, Yang Y, Zhang Y, Zheng Z, Chen L, Li Y. Shengmai Yin alleviated plaque vulnerability and ischemic myocardial damage in diesel exhaust particle-aggravated atherosclerosis with myocardial ischemia. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 234:113379. [PMID: 35278994 DOI: 10.1016/j.ecoenv.2022.113379] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 02/17/2022] [Accepted: 03/01/2022] [Indexed: 06/14/2023]
Abstract
Exposure to diesel exhaust particles (DEP) increases the risk of ischemic heart disease, especially heart attacks and ischemic/thrombotic strokes. Shengmai Yin (SMY) is a traditional Chinese medicine used to treat coronary heart disease. The aim of this study was to determine the protective role of SMY and the mechanism by which SMY affects DEP-induced cardiovascular injury. This study is expected to provide the basis for the development of an adaptive signature of SMY in the prevention of atherosclerotic cardiovascular disease and premature death from global air pollution exposure. We developed animal models of myocardial ischemia and atherosclerosis (AS) in response to DEP exposure. After SMY treatment, serum lipids returned to normal. Aortic plaque area and MMP9 expression were significantly reduced and collagen fiber expression increased after SMY treatment compared to DEP exposure alone. Thus, the risk of plaque formation and vulnerability is reduced. In addition, SMY improved left ventricular structure, morphology, function, blood flow, infarct area, myocardial damage, and ROS accumulation to varying degrees in ApoE-/- mice. These results indicate that the use of SMY is effective, to varying degrees, for the treatment of dyslipidemia, atherosclerosis, myocardial ischemia, and oxidative stress in ApoE-/- mice. SMY has a potential protective effect in DEP-aggravated AS in people with myocardial ischemia.
Collapse
Affiliation(s)
- Shuiqing Qu
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China; Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
| | - Shuoqiu Deng
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China; Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ting Yang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China; Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuanmin Yang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China; Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yu Zhang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China; Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhongyuan Zheng
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China; Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China
| | - Lina Chen
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China; Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China.
| | - Yujie Li
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China; Artemisinin Research Center, China Academy of Chinese Medical Sciences, Beijing, China.
| |
Collapse
|
54
|
The modifying effect of trait anxiety on the association of fine particulate matter with heart rate variability variables. Int J Hyg Environ Health 2022; 241:113933. [DOI: 10.1016/j.ijheh.2022.113933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 01/01/2022] [Accepted: 01/26/2022] [Indexed: 10/19/2022]
|
55
|
Su R, Jin X, Zhao W, Wu X, Zhai F, Li Z. Rutin ameliorates the promotion effect of fine particulate matter on vascular calcification in calcifying vascular cells and ApoE -/- mice. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 234:113410. [PMID: 35279519 DOI: 10.1016/j.ecoenv.2022.113410] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 03/05/2022] [Accepted: 03/08/2022] [Indexed: 06/14/2023]
Abstract
Atmospheric PM2.5 exposure greatly contributes to the incidence of and mortality from cardiovascular disease (CVD). Owing to the crucial role of vascular calcification in the progression of CVD, it is imperative to elucidate the effects of PM2.5 on vascular calcification to understand the toxic mechanisms of haze-induced CVD. However, the effects of PM2.5 exposure on vascular calcification and the underlying molecular mechanisms are still unclear. In this work, the in vitro and in vivo models were used to illuminate the effects of PM2.5 on vascular calcification. We found that PM2.5 promoted the deposition of hydroxyapatite in calcifying vascular cells. Moreover, hydroxyapatite deposition was significantly enhanced by 3.5 times compared with those in the control group in aortas of ApoE-/- mice after exposure winter PM2.5 (1.5 mg/kg b.w.), accompanied by activation of the OPG/RANKL pathway and inflammatory cytokines' expressions. Moreover, PM2.5-induced reactive oxygen species (ROS) generation was observed. NAC, an ROS inhibitor, observably alleviated the promotion effects of PM2.5 on vascular calcification. Furthermore, rutin effectively prevented vascular calcification by regulating the OPG/RANKL pathway. Our results suggest that PM2.5 play an important role in the occurrence and development of vascular calcification, and that rutin has an antagonistic effect on it.
Collapse
Affiliation(s)
- Ruijun Su
- Department of Biology, Taiyuan Normal University, Taiyuan 030619, China
| | - Xiaoting Jin
- School of Public Health, Qingdao University, Qingdao 266071, China
| | - Wenjing Zhao
- Department of Biology, Taiyuan Normal University, Taiyuan 030619, China
| | - Xiaoying Wu
- Department of Biology, Taiyuan Normal University, Taiyuan 030619, China
| | - Feihong Zhai
- Department of Biology, Taiyuan Normal University, Taiyuan 030619, China
| | - Zhuoyu Li
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, China; Institute of Biotechnology, Key Laboratory of Chemical Biology and Molecular Engineering of National Ministry of Education, Shanxi University, Taiyuan 030006, China.
| |
Collapse
|
56
|
Ye Z, Li X, Han Y, Wu Y, Fang Y. Association of long-term exposure to PM 2.5 with hypertension and diabetes among the middle-aged and elderly people in Chinese mainland: a spatial study. BMC Public Health 2022; 22:569. [PMID: 35317761 PMCID: PMC8941772 DOI: 10.1186/s12889-022-12984-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 03/11/2022] [Indexed: 11/23/2022] Open
Abstract
Background Epidemiological evidence has shown an association between long-term exposure to fine particulate matter (PM2.5) and hypertension and diabetes, but few studies have considered the spatial properties of the samples. This study aimed to investigate the long-term effect of PM2.5 exposure on hypertension and diabetes among middle-aged and elderly people in China based on a spatial study. Methods We conducted a national cross-sectional study of the most recently launched wave 4 2018 data of the China Health and Retirement Longitudinal Study (CHARLS) to calculate the prevalence of hypertension and diabetes. The exposure data of annual average PM2.5 concentrations were estimated combined with satellite observations, chemical transport modeling, and ground-based monitoring. A shared component model (SCM) was used to explore the association of PM2.5 with hypertension and diabetes, in which these two diseases borrowed information on spatial variations from each other. Then, we evaluated the effect variations in PM2.5 in different periods and smoking status on changes in outcomes. Results The prevalence of hypertension and diabetes was 44.27% and 18.44%, respectively, among 19,529 participants. The annual average PM2.5 concentration in 31 provinces ranged from 4.4 μg/m3 to 51.3 μg/m3 with an average of 27.86 μg/m3 in 2018. Spatial auto-correlations of the prevalence of hypertension and diabetes and PM2.5 concentrations were seen (Moran’s I = 0.336, p = 0.01; Moran’s I = 0.288, p = 0.03; Moran’s I = 0.490, p = 0.01). An interquartile range (IQR: 16.2 μg/m3) increase in PM2.5 concentrations was significantly associated with a higher prevalence of hypertension and diabetes with odds ratios (ORs) of 1.070 [95% credible interval (95% CrI): 1.034, 1.108] and 1.149 (95% CrI: 1.100, 1.200), respectively. Notably, the effect of PM2.5 on both hypertension and diabetes was relatively stronger among non-smokers than smokers. Conclusion Our nationwide study demonstrated that long-term exposure to PM2.5 might increase the risk of hypertension and diabetes, and could provide guidance to public policymakers to prevent and control hypertension and diabetes according to the spatial distribution patterns of the above effects in China. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-12984-6.
Collapse
Affiliation(s)
- Zirong Ye
- State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.,Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China
| | - Xueru Li
- State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.,Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China
| | - Yaofeng Han
- State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.,Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China
| | - Yafei Wu
- State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.,Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China.,National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China
| | - Ya Fang
- State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China. .,Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China. .,National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, China.
| |
Collapse
|
57
|
Wang J, Wu S, Cui J, Ding Z, Meng Q, Sun H, Li B, Teng J, Dong Y, Aschner M, Wu S, Li X, Chen R. The influences of ambient fine particulate matter constituents on plasma hormones, circulating TMAO levels and blood pressure: A panel study in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 296:118746. [PMID: 34968616 DOI: 10.1016/j.envpol.2021.118746] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 12/21/2021] [Accepted: 12/22/2021] [Indexed: 06/14/2023]
Abstract
Considerable investigations have been carried out to address the relationship between ambient fine particulate matter (PM2.5) and blood pressure (BP) in patients with hypertension. However, few studies have explored the influence of PM2.5 and its constituents on Trimethylamine N-oxide (TMAO), an established risk factor for hypertension and cardiovascular disease (CVD), particularly in severely air-polluted areas. To explore the potential impact of PM2.5 constituents on BP, plasma hormones, and TMAO, a panel study was conducted to investigate changes in BP, plasma hormones, and TMAO in response to ambient air pollution exposure in stage 1 hypertensive young adults. Linear mixed effect models were used to estimate the cumulative effects of fine particulate matters (PM2.5) and its constituents on BP, plasma hormones and TMAO. We found that one interquartile range (IQR) (35 μg/m3) increase in 0-1 day moving-average PM2.5 concentrations was statistically significantly associated with elevated systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP) with estimated values of 0.13 (95% confidence interval (CI): 0.03 to 0.23) mmHg, 0.18 (95% CI: 0.08 to 0.28) mmHg, and 0.17 (95% CI: 0.09 to 0.26) mmHg, respectively. Hormone disturbance in the renin-angiotensin-aldosterone system was also associated with PM2.5 exposure. Elevated TMAO levels with an IQR increase for 0-4, 0-5, 0-6 moving-average concentrations of PM2.5 were found, and the increased values ranged from 26.28 (95% CI: 2.92 to 49.64) to 60.78 (31.95-89.61) ng/ml. More importantly, the PM2.5-bound metal constituents, such as manganese (Mn), titanium (Ti), and selenium (Se) showed robust associations with elevated BP and plasma TMAO levels. This study demonstrates associations between PM2.5 metal constituents and increased BP, changes in plasma hormones and TMAO, in stage 1 hypertensive young adults. Source control, aiming to reduce the emission of PM2.5-bound metals should be implemented to reduce the risk of hypertension and CVD.
Collapse
Affiliation(s)
- Jiajia Wang
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China; Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, PR China
| | - Shenshen Wu
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China; Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, PR China
| | - Jian Cui
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, PR China
| | - Zhen Ding
- Department of Environmental Health and Endemic Disease Control, Jiangsu Provincial Center for Disease Prevention and Control, Nanjing, 210009, PR China
| | - Qingtao Meng
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, PR China
| | - Hao Sun
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, PR China
| | - Bin Li
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, PR China
| | - Jun Teng
- Nanjing Xiaozhuang University, Nanjing, 211171, PR China
| | - Yanping Dong
- Department of General Surgery, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, PR China
| | - Michael Aschner
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, 76 Yanta West Road, Yanta District, Xi'an, Shaanxi, 710061, China
| | - Xiaobo Li
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China; Department of Occupational and Environmental Health, School of Public Health, Capital Medical University, Beijing, 100069, PR China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, PR China
| | - Rui Chen
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, PR China; Institute for Chemical Carcinogenesis, Guangzhou Medical University, Guangzhou, 511436, PR China.
| |
Collapse
|
58
|
Guo B, Guo Y, Nima Q, Feng Y, Wang Z, Lu R, Baimayangji, Ma Y, Zhou J, Xu H, Chen L, Chen G, Li S, Tong H, Ding X, Zhao X. Exposure to air pollution is associated with an increased risk of metabolic dysfunction-associated fatty liver disease. J Hepatol 2022; 76:518-525. [PMID: 34883157 DOI: 10.1016/j.jhep.2021.10.016] [Citation(s) in RCA: 95] [Impact Index Per Article: 47.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 09/24/2021] [Accepted: 10/14/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND & AIMS Accumulating animal studies have demonstrated the harmful contribution of ambient air pollution (AP) to metabolic dysfunction-associated fatty liver disease (MAFLD), but corresponding epidemiological evidence is limited. We examined the associations between long-term AP exposure and MAFLD prevalence in a Chinese population. METHODS We conducted a cross-sectional study of 90,086 participants recruited in China from 2018 to 2019. MAFLD was assessed based on radiologically diagnosed hepatic steatosis and the presence of overweight/obese status, diabetes mellitus, or metabolic dysregulation. Residence-specific levels of air pollutants, including particulate matter with aerodynamic diameters of ≤1 μm (PM1), ≤2.5 μm (PM2.5), and ≤10 μm (PM10), and nitrogen dioxide (NO2), were estimated by validated spatiotemporal models. We used logistic regression models to examine the AP-MAFLD associations and further evaluated potential effect modifications by demographics, lifestyle, central obesity, and diabetes status. RESULTS Increased exposure levels to all 4 air pollutants were significantly associated with increased odds of MAFLD, with odds ratios (ORs) of 1.13 (95% CI 1.10-1.17), 1.29 (1.25-1.34), 1.11 (1.09-1.14), and 1.15 (1.12-1.17) for each 10 μg/m3 increase in PM1, PM2.5, PM10, and NO2, respectively. Further stratified analyses revealed that individuals who are male, alcohol drinkers, and current and previous smokers, those who consume a high-fat diet, and those with central obesity experience more significant adverse effects from AP exposure than other individuals. CONCLUSIONS This study provides evidence that long-term exposure to ambient PM1, PM2.5, PM10, and NO2 may increase the odds of MAFLD in the real world. These effects may be exacerbated by unhealthy lifestyle habits and central obesity. LAY SUMMARY We conducted an epidemiological study on the potential effect of ambient air pollution on the risk of metabolic dysfunction-associated fatty liver disease (MAFLD) in approximately 90 thousand adults in China. We found that long-term exposure to ambient air pollution may increase the odds of MAFLD, especially in individuals who are male, smokers, and alcohol drinkers, those who consume a high-fat diet, and those with central obesity.
Collapse
Affiliation(s)
- Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Qucuo Nima
- Tibet Center for Disease Control and Prevention, Lhasa, Tibet, China
| | - Yuemei Feng
- Department of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, Kunming, Yunnan, China
| | - Ziyun Wang
- School of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou, China
| | - Rong Lu
- Chengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China
| | | | - Yue Ma
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Junmin Zhou
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huan Xu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lin Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - 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, Guangdong, China
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Huan Tong
- Department of Gastroenterology; Lab of Gastroenterology and Hepatology, West China Hospital, Sichuan University, Chengdu, China.
| | - Xianbin Ding
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China.
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
| | | |
Collapse
|
59
|
Renzi M, Stafoggia M, Michelozzi P, Davoli M, Forastiere F, Solimini AG. Long-term exposure to air pollution and risk of venous thromboembolism in a large administrative cohort. Environ Health 2022; 21:21. [PMID: 35086531 PMCID: PMC8793234 DOI: 10.1186/s12940-022-00834-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 01/13/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Venous thromboembolisms (VTE) are one of the most frequent cause among the cardiovascular diseases. Despite the association between long-term exposure to air pollution and cardiovascular outcomes have been widely explored in epidemiological literature, little is known about the air pollution related effects on VTE. We aimed to evaluate this association in a large administrative cohort in 15 years of follow-up. METHODS Air pollution exposure (NO2, PM10 and PM2.5) was derived by land use regression models obtained by the ESCAPE framework. Administrative health databases were used to identify VTE cases. To estimate the association between air pollutant exposures and risk of hospitalizations for VTE (in total and divided in deep vein thrombosis (DVT) and pulmonary embolism (PE)), we used Cox regression models, considering individual, environmental (noise and green areas), and contextual characteristics. Finally, we considered potential effect modification for individual covariates and previous comorbidities. RESULTS We identified 1,954 prevalent cases at baseline and 20,304 cases during the follow-up period. We found positive associations between PM2.5 exposures and DVT, PE and VTE with hazard ratios (HRs) up to 1.082 (95% confidence intervals: 0.992, 1.181), 1.136 (0.994, 1.298) and 1.074 (0.996, 1.158) respectively for 10 μg/m3 increases. The association was stronger in younger subjects (< 70 years old compared to > 70 years old) and among those who had cancer. CONCLUSION The effect of pollutants on PE and VTE hospitalizations, although marginally non-significant, should be interpreted as suggestive of a health effect that deserves attention in future studies.
Collapse
Affiliation(s)
- Matteo Renzi
- Department of Epidemiology, Health Authority Service, ASL Rome 1, 00147, Rome, Italy.
- Department of Health Statistics and Biometry, University of Rome "La Sapienza", Rome, Italy.
| | - Massimo Stafoggia
- Department of Epidemiology, Health Authority Service, ASL Rome 1, 00147, Rome, Italy
- Institute of Environmental Medicine, Karolinska Instituet, Stockholm, Sweden
| | - Paola Michelozzi
- Department of Epidemiology, Health Authority Service, ASL Rome 1, 00147, Rome, Italy
| | - Marina Davoli
- Department of Epidemiology, Health Authority Service, ASL Rome 1, 00147, Rome, Italy
| | - Francesco Forastiere
- National Research Council of Italy, Institute of Innovation and Biomedical Research (IRIB), , Palermo, Italy
| | - Angelo G Solimini
- Department of Public Health and Infectious Diseases, University of Rome "La Sapienza", Rome, Italy
| |
Collapse
|
60
|
Elkama A, Şüküroğlu AA, Çakmak G. Exposure to particulate matter: a brief review with a focus on cardiovascular effects, children, and research conducted in Turkey. Arh Hig Rada Toksikol 2021; 72:244-253. [PMID: 34985835 PMCID: PMC8785112 DOI: 10.2478/aiht-2021-72-3563] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 06/01/2021] [Accepted: 11/01/2021] [Indexed: 11/20/2022] Open
Abstract
Exposure to environmental particulate matter (PM), outdoor air pollution in particular, has long been associated with adverse health effects. Today, PM has widely been accepted as a systemic toxicant showing adverse effects beyond the lungs. There are numerous studies, from those in vitro to epidemiological ones, suggesting various direct and indirect PM toxicity mechanisms associated with cardiovascular risks, including inflammatory responses, oxidative stress, changes in blood pressure, autonomic regulation of heart rate, suppression of endothelium-dependent vasodilation, thrombogenesis, myocardial infarction, and fibrinolysis. In addition to these and other health risks, considerations about air quality standards should include individual differences, lifestyle, and vulnerable populations such as children. Urban air pollution has been a major environmental issue for Turkey, and this review will also address current situation, research, and measures taken in our country.
Collapse
Affiliation(s)
- Aylin Elkama
- Gazi University Faculty of Pharmacy, Department of Toxicology, Ankara, Turkey
| | | | - Gonca Çakmak
- Gazi University Faculty of Pharmacy, Department of Toxicology, Ankara, Turkey
| |
Collapse
|
61
|
Wang T, Han Y, Li H, Wang Y, Chen X, Chen W, Qiu X, Gong J, Li W, Zhu T. Proinflammatory lipid signals trigger the health effects of air pollution in individuals with prediabetes. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 290:118008. [PMID: 34479157 DOI: 10.1016/j.envpol.2021.118008] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 07/30/2021] [Accepted: 08/18/2021] [Indexed: 06/13/2023]
Abstract
Individuals with metabolic disorders exhibit enhanced susceptibility to the cardiovascular health effects of particulate air pollution, but the underlying mechanisms are not yet understood. We aim to assess whether changes in proinflammatory lipid signals are associated with fine particulate matter (PM2.5) exposure in individuals with and without prediabetes. A longitudinal panel study was conducted in Beijing, China, and included 120 participants followed up over 589 clinical visits from August 2013 to February 2015. We measured 12 lipids derived from arachidonic acid pathways in blood samples of the participants via targeted lipidomic analyses. Ambient PM2.5 concentrations were continuously monitored at a station for associations with the lipids. Among the 120 participants, 110 (mean [SD] age at recruitment, 56.5 [4.2] years; 31 prediabetics) who visited the clinic at least twice over the follow-up period were assigned exposure values of the outdoor residential PM2.5 concentrations during the 1-14 days preceding each clinical visit. With an interquartile range increase in the 1-day-lag PM2.5 exposure (64.0 μg/m3), the prediabetic group had consistently greater increases in the concentration of arachidonate metabolites derived from the cytochrome P450 (CYP450) pathway (5,6-DHET, 15.8% [95% CI, 3.5-29.7%]; 8,9-DHET, 9.7% [95% CI, 0.6-19.6%]; 11,12-DHET, 8.3% [95% CI, 1.9-15.1%]; 14,15-DHET, 7.4% [95% CI, 0.9-14.4%]; and 20-HETE, 8.9% [95% CI, 1.0-17.5%]), compared with the healthy group. Among CYP450-derived lipids, 14,15-DHET and 20-HETE significantly mediated 8% and 8% of the PM2.5-associated increase in white blood cells, 10% and 13% of that in neutrophils, and 20% and 23% of that in monocytes, respectively, in the prediabetic group. In conclusion, proinflammatory lipid signals from CYP450 pathways triggered the health effects of particulate air pollution in individuals with prediabetes, suggesting that targeting lipid metabolism has therapeutic potential to attenuate or prevent the cardiovascular effects of air pollution in susceptible populations.
Collapse
Affiliation(s)
- Teng Wang
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Yiqun Han
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China; Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London, UK
| | - Haonan Li
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Yanwen Wang
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China; National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xi Chen
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China; GRiC, Shenzhen Institute of Building Research Co., Ltd., Shenzhen, China
| | - Wu Chen
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Xinghua Qiu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Jicheng Gong
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Weiju Li
- Peking University Hospital, Peking University, Beijing, China
| | - Tong Zhu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| |
Collapse
|
62
|
Martinez-Soto A, Avendaño Vera CC, Boso A, Hofflinger A, Shupler M. Energy poverty influences urban outdoor air pollution levels during COVID-19 lockdown in south-central Chile. ENERGY POLICY 2021; 158:112571. [PMID: 34511701 PMCID: PMC8418915 DOI: 10.1016/j.enpol.2021.112571] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 08/19/2021] [Accepted: 08/31/2021] [Indexed: 06/13/2023]
Abstract
The effect of COVID-19 lockdowns on ambient air pollution levels in urban south-central Chile, where outdoor air pollution primarily originates indoors from wood burning for heating, may differ from trends in cities where transportation and industrial emission sources dominate. This quasi-experimental study compared hourly fine (PM2.5) and coarse (PM10) particulate matter measurements from six air monitors (three beta attenuation monitors; three low-cost sensors) in commercial and low/middle-income residential areas of Temuco, Chile between 2019 and 2020. The potential impact of varying annual meterological conditions on air quality was also assessed. During COVID-19 lockdown, average monthly ambient PM2.5 concentrations in a commercial and middle-income residential neighborhood of Temuco were up to 50% higher (from 12 to 18 μg/m3) and 59% higher (from 22 to 35 μg/m3) than 2019 levels, respectively. Conversely, PM2.5 levels decreased by up to 52% (from 43 to 21 μg/m3) in low-income areas. The fine fraction of PM10 in April 2020 was 48% higher than in April 2017-2019 (from 50% to 74%) in a commercial area. These changes did not appear to result from meterological differences between years. During COVID-19 lockdown, higher outdoor PM2.5 pollution from wood heating existed in more affluent areas of Temuco, while PM2.5 concentrations declined among poorer households refraining from wood heating. To reduce air pollution and energy poverty in south-central Chile, affordability of clean heating fuels (e.g. electricity) should be a policy priority.
Collapse
Affiliation(s)
- Aner Martinez-Soto
- Department of Civil Engineering, Faculty of Engineering and Science, Universidad de La Frontera, Temuco, Chile
| | - Constanza C Avendaño Vera
- Department of Civil Engineering, Faculty of Engineering and Science, Universidad de La Frontera, Temuco, Chile
| | - Alex Boso
- Núcleo en Ciencias Sociales y Humanidades, Butamallín Research Center for Global Change, Universidad de La Frontera, Temuco, Chile
| | - Alvaro Hofflinger
- Núcleo en Ciencias Sociales y Humanidades, Butamallín Research Center for Global Change, Universidad de La Frontera, Temuco, Chile
| | - Matthew Shupler
- Department of Public Health, Policy and Systems, University of Liverpool, UK
| |
Collapse
|
63
|
Li R, Hou J, Tu R, Liu X, Zuo T, Dong X, Pan M, Yin S, Hu K, Mao Z, Huo W, Li S, Guo Y, Chen G, Wang C. Associations of mixture of air pollutants with estimated 10-year atherosclerotic cardiovascular disease risk modified by socio-economic status: The Henan Rural Cohort Study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 793:148542. [PMID: 34174609 DOI: 10.1016/j.scitotenv.2021.148542] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 06/05/2021] [Accepted: 06/15/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Low socio-economic status (SES) and exposure to single-air pollutant relate to increased prevalent atherosclerotic cardiovascular diseases (ASCVD), however, interactive effect between SES and exposure to single- or multiple-air pollutants on high 10-year ASCVD risk remains unclear. METHODS A total of 31,162 individuals were derived from the Henan Rural Cohort Study. Concentrations of air pollutants (particulate matter with an aerodynamic diameter ≤ 1.0 μm (PM1), ≤2.5 μm (PM2.5) or ≤10 μm (PM10), nitrogen dioxide (NO2)) were assessed using a spatiotemporal model based on satellites data. Independent and joint associations of SES, single- and multiple- air pollutants with high 10-year ASCVD risk were evaluated using logistic regression models, quantile g-computation and structural equation models. The interactive effects of SES and exposure to single- or multiple air pollutants on high 10-year ASCVD risk were visualized by using Interaction plots. RESULTS Exposure to single air pollutant (PM1, PM2.5, PM10 or NO2) related to increased high 10-year ASCVD risk among individuals with low education level or personal average monthly income, compared to the ones with high education level or personal average monthly income. Furthermore, similar results of exposure to mixture of air pollutants with high 10-year ASCVD risk were observed. Positive interactive effects between low SES and exposure to high single air pollutant or the mixture of air pollutants on high 10-year ASCVD risk were observed. CONCLUSION Positive association of low SES with high 10-year ASCVD risk was amplified by exposure to high levels of single air pollutant or a mixture of air pollutants, implying that individuals with low SES may more susceptible to air pollution-related adverse health effect.
Collapse
Affiliation(s)
- Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Runqi Tu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Tantan Zuo
- Department of Orthopedics, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, PR China
| | - Xiaokang Dong
- 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
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - 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
| | - 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, PR China.
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
| |
Collapse
|
64
|
Liu C, Wang B, Liu S, Li S, Zhang K, Luo B, Yang A. Type 2 diabetes attributable to PM 2.5: A global burden study from 1990 to 2019. ENVIRONMENT INTERNATIONAL 2021; 156:106725. [PMID: 34171589 DOI: 10.1016/j.envint.2021.106725] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 06/03/2021] [Accepted: 06/15/2021] [Indexed: 05/06/2023]
Abstract
BACKGROUND Long-term exposure to fine particulate matter (PM2.5) is associated with an increased risk of type 2 diabetes (T2D). However, limited data on trends in the global burden of T2D attributed to PM2.5, particularly in different regions by social-economic levels. We evaluated the spatio-temporal changes in the disease burden of T2D attributed to PM2.5 from 1990 to 2019 in 204 countries and regions with different socio-demographic indexes (SDI). METHODS This is a retrospective analysis with data from the Global Burden of Disease Study 2019 (GBD2019) database. The burden of T2D attributed to PM2.5, age-standardized mortality rate (ASMR) and age-standardized disability-adjusted life year rate (ASDR) were estimated according to sex, age, nationality and SDI. The annual percentage change (APCs) and the average annual percentage change (AAPCs) were calculated by using the Joinpoint model to evaluate the changing trend of ASMR and ASDR attributed to PM2.5 from 1990 to 2019. The Gaussian process regression model was used to estimate the relationship of SDI with ASMR and ASDR. RESULTS Overall, the global burden of T2D attributable to PM2.5 increased significantly since 1990, particularly in the elderly, men, Africa, Asia and low-middle SDI regions. The ASMR and ASDR of T2D attributable to PM2.5 in 2019 were 2.47 (95% CI: 1.71, 3.24) per 100,000 population and 108.98 (95% CI: 74.06, 147.23) per 100,000 population, respectively. From 1990 to 2019, the global ASMR and ASDR of T2D attributed to T2D increased by 57.32% and 86.75%, respectively. The global AAPCs of ASMR and ASDR were 1.57 (95% CI: 1.46, 1.68) and 2.17 (95% CI: 2.02, 2.32), respectively. Declining trends were observed in North America, South America, Europe, Australia, and other regions with high SDI. CONCLUSIONS Over this 30-years study, the global T2D burden attributable to PM2.5 has increased particularly in regions with low-middle SDI. PM2.5 remains a great concern on the global burden of diabetes.
Collapse
Affiliation(s)
- Ce Liu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Bo Wang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Shang Liu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China
| | - Sheng Li
- The First People's Hospital of Lanzhou, Lanzhou, Gansu 730050, People's Republic of China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, One University Place, Rensselaer, NY 12144, USA
| | - Bin Luo
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, People's Republic of China; Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai 200030, People's Republic of China; Shanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, People's Republic of China.
| | - Aimin Yang
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| |
Collapse
|
65
|
Xu H, Liu S, Wang Y, Wu R, Yi T, Wang T, Zhu Y, Fang J, Xie Y, Zhao Q, Song X, Chen J, Rajagopaplan S, Brook RD, Li J, Cao J, Huang W. The mediating role of vascular inflammation in traffic-related air pollution associated changes in insulin resistance in healthy adults. Int J Hyg Environ Health 2021; 239:113878. [PMID: 34757311 DOI: 10.1016/j.ijheh.2021.113878] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 02/06/2023]
Abstract
AIM The precise pathophysiologic pathway linking traffic-related air pollution (TRAP) to diabetes mellitus is not well elucidated. We aimed to investigate whether activation of vascular inflammation can be a mechanistic linkage between ambient TRAP and insulin resistance. METHODS Study outcomes were determined by assessing a series of circulating biomarkers indicative of insulin resistance and vascular inflammation among 73 healthy adults who underwent repeated clinical visits in Beijing, China, 2014-2016. Concomitantly, concentrations of ambient TRAP indices, including particulate matter in diameter <2.5 μm (PM2.5), particles in size fractions of 5-560 nm, black carbon, carbon monoxide, nitrogen dioxide, and oxides of nitrogen, were continuously monitored. RESULTS Participants experienced extremely high levels of TRAP exposures, with mean (standard deviation) PM2.5 concentrations of 91.8 (48.3) μg/m3, throughout the study. We found that interquartile range increases in exposure to moving average concentrations of various TRAP indices at prior up to 7 days were associated with significant elevations of 8.9-49.6% in insulin levels. Higher pollutant levels were also related to worsening metrics of insulin resistance (soluble insulin receptor ectodomain, adipokines, and homeostasis model assessment of insulin resistance) and heightened vascular inflammatory responses, particularly disruptions of the receptor activator of nuclear factor κB ligand/osteoprotegerin system balance and elevations of monocyte/macrophage and T cell activation markers. Mediation analyses showed that activation of vascular inflammation could explain up to 66% of the alterations in metrics of insulin resistance attributable to air pollution. CONCLUSION Our results suggest that ambient traffic pollution exposure was capable of promoting insulin resistance possibly via generating vascular inflammation.
Collapse
Affiliation(s)
- Hongbing Xu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Beijing, China
| | - Shengcong Liu
- Division of Cardiology, Peking University First Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Beijing, China
| | - Yang Wang
- Department of Prevention and Health Care, Hospital of Health Science Center, Peking University, Beijing, China
| | - Rongshan Wu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China; State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Tieci Yi
- Division of Cardiology, Peking University First Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Beijing, China
| | - Tong Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Beijing, China
| | - Yutong Zhu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Beijing, China
| | - Jiakun Fang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Beijing, China
| | - Yunfei Xie
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Beijing, China
| | - Qian Zhao
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Beijing, China
| | - Xiaoming Song
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Beijing, China
| | - Jie Chen
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China; Institute for Risk Assessment Sciences, University Medical Centre Utrecht, University of Utrecht, the Netherlands
| | - Sanjay Rajagopaplan
- Division of Cardiovascular Medicine, Case Western Reserve University, Ohio, USA
| | - Robert D Brook
- Division of Cardiovascular Medicine, University of Michigan, Michigan, USA
| | - Jianping Li
- Division of Cardiology, Peking University First Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Beijing, China
| | - Junji Cao
- Institute of Atmospheric Physics Chinese Academy of Sciences, Beijing, China.
| | - Wei Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, And Peking University Institute of Environmental Medicine, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Beijing, China.
| |
Collapse
|
66
|
Hartiala JA, Hilser JR, Biswas S, Lusis AJ, Allayee H. Gene-Environment Interactions for Cardiovascular Disease. Curr Atheroscler Rep 2021; 23:75. [PMID: 34648097 PMCID: PMC8903169 DOI: 10.1007/s11883-021-00974-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE OF REVIEW We provide an overview of recent findings with respect to gene-environment (GxE) interactions for cardiovascular disease (CVD) risk and discuss future opportunities for advancing the field. RECENT FINDINGS Over the last several years, GxE interactions for CVD have mostly been identified for smoking and coronary artery disease (CAD) or related risk factors. By comparison, there is more limited evidence for GxE interactions between CVD outcomes and other exposures, such as physical activity, air pollution, diet, and sex. The establishment of large consortia and population-based cohorts, in combination with new computational tools and mouse genetics platforms, can potentially overcome some of the limitations that have hindered human GxE interaction studies and reveal additional association signals for CVD-related traits. The identification of novel GxE interactions is likely to provide a better understanding of the pathogenesis and genetic liability of CVD, with significant implications for healthy lifestyles and therapeutic strategies.
Collapse
Affiliation(s)
- Jaana A Hartiala
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA, 90033, USA
| | - James R Hilser
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA, 90033, USA
- Department of Biochemistry and Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Subarna Biswas
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA, 90033, USA
- Department of Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Aldons J Lusis
- Department of Medicine, David Geffen School of Medicine of UCLA, Los Angeles, CA, 90095, USA
- Department of Microbiology, David Geffen School of Medicine of UCLA, Los Angeles, CA, 90095, USA
- Department of Human Genetics, David Geffen School of Medicine of UCLA, Los Angeles, CA, 90095, USA
| | - Hooman Allayee
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA, 90033, USA.
- Department of Biochemistry and Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
| |
Collapse
|
67
|
Abstract
Inhalation of fine particulate matter (PM2.5), produced by the combustion of fossil fuels, is an important risk factor for cardiovascular disease. Exposure to PM2.5 has been linked to increases in blood pressure, thrombosis, and insulin resistance. It also induces vascular injury and accelerates atherogenesis. Results from animal models corroborate epidemiological evidence and suggest that the cardiovascular effects of PM2.5 may be attributable, in part, to oxidative stress, inflammation, and the activation of the autonomic nervous system. Although the underlying mechanisms remain unclear, there is robust evidence that long-term exposure to PM2.5 is associated with premature mortality due to heart failure, stoke, and ischemic heart disease. Expected final online publication date for the Annual Review of Medicine, Volume 73 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
Collapse
Affiliation(s)
- Aruni Bhatnagar
- Department of Medicine, University of Louisville, Louisville, Kentucky 40202, USA;
| |
Collapse
|
68
|
Chen H, Kaufman JS, Olaniyan T, Pinault L, Tjepkema M, Chen L, van Donkelaar A, Martin RV, Hystad P, Chen C, Kirby-McGregor M, Bai L, Burnett RT, Benmarhnia T. Changes in exposure to ambient fine particulate matter after relocating and long term survival in Canada: quasi-experimental study. BMJ 2021; 375:n2368. [PMID: 34625469 PMCID: PMC8498990 DOI: 10.1136/bmj.n2368] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the association between changes in long term residential exposure to ambient fine particulate matter (PM2.5) and premature mortality in Canada. DESIGN Population based quasi-experimental study. SETTING Canada. PARTICIPANTS 663 100 respondents to the 1996, 2001, and 2006 Canadian censuses aged 25-89 years who had consistently lived in areas with either high or low PM2.5 levels over five years preceding census day and moved during the ensuing five years. INTERVENTIONS Changes in long term exposure to PM2.5 arising from residential mobility. MAIN OUTCOME MEASURES The primary outcome was deaths from natural causes. Secondary outcomes were deaths from any cardiometabolic cause, any respiratory cause, and any cancer cause. All outcomes were obtained from the national vital statistics database. RESULTS Using a propensity score matching technique with numerous personal, socioeconomic, health, and environment related covariates, each participant who moved to a different PM2.5 area was matched with up to three participants who moved within the same PM2.5 area. In the matched groups that moved from high to intermediate or low PM2.5 areas, residential mobility was associated with a decline in annual PM2.5 exposure from 10.6 μg/m3 to 7.4 and 5.0 μg/m3, respectively. Conversely, in the matched groups that moved from low to intermediate or high PM2.5 areas, annual PM2.5 increased from 4.6 μg/m3 to 6.7 and 9.2 μg/m3. Five years after moving, individuals who experienced a reduction in exposure to PM2.5 from high to intermediate levels showed a 6.8% (95% confidence interval 1.7% to 11.7%) reduction in mortality (2510 deaths in 56 025 v 4925 deaths in 101 960). A greater decline in mortality occurred among those exposed to a larger reduction in PM2.5. Increased mortality was found with exposure to PM2.5 from low to high levels, and to a lesser degree from low to intermediate levels. Furthermore, the decreases in PM2.5 exposure were most strongly associated with reductions in cardiometabolic deaths, whereas the increases in PM2.5 exposure were mostly related to respiratory deaths. No strong evidence was found for the changes in PM2.5 exposure with cancer related deaths. CONCLUSIONS In Canada, decreases in PM2.5 were associated with lower mortality, whereas increases in PM2.5 were associated with higher mortality. These results were observed at PM2.5 levels considerably lower than many other countries, providing support for continuously improving air quality.
Collapse
Affiliation(s)
- Hong Chen
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, K1A 0K9, Canada
- Public Health Ontario, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Jay S Kaufman
- Department of Epidemiology and Biostatistics, McGill University, Montreal, QC, Canada
- Institute for Health and Social Policy, McGill University, Montreal, QC, Canada
| | - Toyib Olaniyan
- Health Analysis Division, Statistics Canada, Ottawa, ON, Canada
| | - Lauren Pinault
- Health Analysis Division, Statistics Canada, Ottawa, ON, Canada
| | | | - Li Chen
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, K1A 0K9, Canada
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, NS, Canada
| | - Randall V Martin
- Department of Energy, Environment and Chemical Engineering, Washington University, St Louis, MO, USA
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Chen Chen
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Megan Kirby-McGregor
- Department of Epidemiology and Biostatistics, McGill University, Montreal, QC, Canada
| | - Li Bai
- ICES, Toronto, ON, Canada
| | - Richard T Burnett
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, ON, K1A 0K9, Canada
| | - Tarik Benmarhnia
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, USA
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| |
Collapse
|
69
|
Lei X, Chen R, Li W, Cheng Z, Wang H, Chillrud S, Yan B, Ying Z, Cai J, Kan H. Personal exposure to fine particulate matter and blood pressure: Variations by particulate sources. CHEMOSPHERE 2021; 280:130602. [PMID: 34162067 DOI: 10.1016/j.chemosphere.2021.130602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 03/27/2021] [Accepted: 04/13/2021] [Indexed: 06/13/2023]
Abstract
Fine particulate matter (PM2.5) is a complex mixture of components which has been associated with various cardiovascular effects, such as elevated blood pressure (BP). However, evidences on specific sources behind these effects remain uncertain. Based on 140 72-h personal measurements among a panel of 36 health college students in Shanghai, China, we assessed associations between source-apportioned PM2.5 exposure and BP changes. Based on personal filter samples, PM2.5 source apportionment was conducted using Positive Matrix Factorization (PMF) model. Linear mixed-effects models were applied to evaluate associations of source-specific PM2.5 exposure with BP changes. Seven sources were identified in PMF analysis. Among them, secondary sulfate (41%) and nitrate (24%) sources contributed most to personal PM2.5, followed by industrial emissions (15%), traffic-related source (10%), coal combustion (6.2%), dust (2.4%) and aged sea salt (1.1%). We found nitrate, traffic-related source and coal combustion were significantly associated with increased BP. For example, an interquartile range increase in PM2.5 from traffic-related source was significantly associated with increase in systolic BP [1.5 (95% CI: 0.26, 2.7) mmHg], diastolic BP [1.2 (95% CI: 0.10, 2.2) mmHg] and mean arterial pressure [1.2 (95% CI: 0.15, 2.2) mmHg]. This is the first investigation linking personal PM2.5 source profile and BP changes. This study provides evidence that several anthropogenic emissions (especially traffic-related emission) may be particularly responsible for BP increases, and highlights that the importance of development of health-oriented PM2.5 source control strategies.
Collapse
Affiliation(s)
- Xiaoning Lei
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China; Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Weihua Li
- Key Laboratory of Reproduction Regulation of National Population and Family Planning Commission, Shanghai Institute of Planned Research, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Zhen Cheng
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Hongli Wang
- State Environmental Protection Key Laboratory of the Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, China
| | - Steven Chillrud
- Division of Geochemistry, Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA
| | - Beizhan Yan
- Division of Geochemistry, Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA
| | - Zhekang Ying
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China; Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, 200030, China.
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China; Key Laboratory of Reproduction Regulation of National Population and Family Planning Commission, Shanghai Institute of Planned Research, Institute of Reproduction and Development, Fudan University, Shanghai, China.
| |
Collapse
|
70
|
Zhang J, Chen G, Liang S, Liu J, Zhang J, Shen H, Chen Y, Duan J, Sun Z. PM 2.5 exposure exaggerates the risk of adverse birth outcomes in pregnant women with pre-existing hyperlipidemia: Modulation role of adipokines and lipidome. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 787:147604. [PMID: 33992945 DOI: 10.1016/j.scitotenv.2021.147604] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 05/02/2021] [Accepted: 05/05/2021] [Indexed: 06/12/2023]
Abstract
The in-utero environmental exposure to fine particulate matter (PM2.5) might lead to adverse birth outcomes, such as low birth weight (LBW) and preterm birth (PTB), thereby increasing susceptibility to diseases in later life. However, no studies have examined the underlying mechanism through cross-omics of lipidome and adipokines profiling, as well as the possible effect modification by maternal hyperlipidemia. In total, 203 mother-newborn pairs were recruited in the birth cohort study ongoing since February 2017 in Beijing, China. Individual-level of PM2.5 exposure was estimated using a satellite data based random forest model. Cord blood lipidome and adipokines were assessed through the lipidomic approaches and antibody-based array. Multivariable logistic/linear regression models and moderation analysis were employed in this study. We observed a significantly increased risk of PTB associated with PM2.5 exposure during the second trimester, especially in pregnant women with pre-existing hyperlipidemia. 9 lipid classes and 21 adipokines were associated with PM2.5 exposure independently or significantly influenced by the interaction of maternal PM2.5 exposure and hyperlipidemia. In addition, 4 adipokines (ANGPTL4, IGFBP-2, IL-12p40, and TNF-RII) and 3 lipid classes [phosphatidylcholines (PCs), phosphatidylinositols (PIs), and triglycerides (TGs)] were related to the increased risk of PTB, indicating that inflammation, IGF/IGFBP axis, and lipolysis induced lipid homeostasis disorder of PCs, TGs, and PIs might be the possible mediators for the PM2.5-induced adverse birth outcomes. Our results substantiated the need for reducing exposure in susceptible populations.
Collapse
Affiliation(s)
- Jingyi Zhang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China
| | - 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, Guangdong, China
| | - Shuang Liang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China
| | - Jiangyan Liu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China
| | - Jie Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, People's Republic of China
| | - Heqing Shen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, People's Republic of China
| | - Yi Chen
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, People's Republic of China.
| | - Junchao Duan
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China.
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, People's Republic of China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, People's Republic of China.
| |
Collapse
|
71
|
Zajusz-Zubek E, Korban Z. The use of multi-criteria method in the process of threat assessment to the environment. Sci Rep 2021; 11:18296. [PMID: 34521953 PMCID: PMC8440600 DOI: 10.1038/s41598-021-97939-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 08/25/2021] [Indexed: 11/09/2022] Open
Abstract
Measurements of the content of trace elements, including toxic and carcinogenic metals, in various fractions of particulate matter PM are an important element of environmental monitoring and research involving their impact on human health. The article presents the measurement results of atmospheric composition of suspended dust (PM10), respirable fraction (PM2.5) and submicron particulate matter (PM1) collected with the Dekati PM10 cascade impactor. Samples were collected in the vicinity of four working power plants (from 28 May to 23 September 2014) and four coking plants (from 4 May to 28 August 2015) in Upper Silesia, Poland. The qualitative and quantitative analysis of the solutions: arsenic (As), cadmium (Cd), cobalt (Co), chromium (Cr), mercury (Hg), manganese (Mn), nickel (Ni), lead (Pb), antimony (Sb) and selenium (Se) obtained for individual fractions was performed by inductively coupled plasma mass spectrometry, using the apparatus ICP-MS. The research results were used to determine a synthetic assessment of the threat to the anthropogenic environment and for the preparation of the ranking of the measured points.
Collapse
Affiliation(s)
- Elwira Zajusz-Zubek
- Department of Air Protection, Faculty of Energy and Environmental Engineering, Silesian University of Technology, 22B Konarskiego St., 44-100, Gliwice, Poland.
| | - Zygmunt Korban
- Department of Safety Engineering, Faculty of Mining, Safety Engineering and Industrial Automation, Silesian University of Technology, 2 Akademicka St., 44-100, Gliwice, Poland
| |
Collapse
|
72
|
Wu Y, Ye Z, Fang Y. Spatial analysis of the effects of PM2.5 on hypertension among the middle-aged and elderly people in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2021; 31:729-740. [PMID: 31646877 DOI: 10.1080/09603123.2019.1682528] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 10/16/2019] [Indexed: 06/10/2023]
Abstract
Hypertension is currently one of the most common chronic diseases with high global prevalence associated with a huge social and economic burden. In recent years, air pollution has become a focus of research, especially the effects of PM2.5 on hypertension. However, few studies have considered the spatial properties of the sample; thus, the results might be unreliable. Based on the China Health and Retirement Longitudinal Study (CHARLS) and the Environmental Status Bulletin for each province in China, we used the extended shared component model (SCM) to fit the spatial variation of hypertension risk and to reveal the impact of PM2.5 on hypertension in males and females. Our results revealed that the crude prevalence of hypertension for the whole population in China was 32.74% in 2015, with the prevalence in men experiencing slightly higher than that in women (32.92% vs. 32.58%). We found that the distribution of hypertension prevalence exhibited obvious spatial aggregation for the whole population in China (Moran's I = 0.39, P = 0.001), with similar results in both men (Moran's I = 0.18, P = 0.027) and women (Moran's I = 0.52, P = 0.001). Furthermore, the smoothed results obtained using the SCM indicated that some eastern and central provinces had relatively higher hypertension risk, while the risk in southeastern provinces was much lower. The risk was also relatively lower in most western provinces, except for some northwestern regions. Notably, our results showed that PM2.5 was a risk factor for hypertension, and the impact of PM2.5 on women was slightly greater than that on men, with odds ratios (OR) of 1.063 (1.041, 1.086) and 1.048 (1.025, 1.071), respectively. Our findings suggest the existence of distinct spatial differences in the prevalence of hypertension and small sex-related differences in the risk of hypertension in China.
Collapse
Affiliation(s)
- Yafei Wu
- State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
- Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China
| | - Zirong Ye
- State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
- Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China
| | - Ya Fang
- State Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
- Key Laboratory of Health Technology Assessment of Fujian Province, School of Public Health, Xiamen University, Xiamen, China
| |
Collapse
|
73
|
Ning J, Zhang Y, Hu H, Hu W, Li L, Pang Y, Ma S, Niu Y, Zhang R. Association between ambient particulate matter exposure and metabolic syndrome risk: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 782:146855. [PMID: 33839664 DOI: 10.1016/j.scitotenv.2021.146855] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 03/25/2021] [Accepted: 03/26/2021] [Indexed: 05/22/2023]
Abstract
Although the association between ambient particulate matter and metabolic syndrome (MetS) has been investigated, the effect of particulate matter (PM) on MetS is inconclusive. We conducted a systematic review and meta-analysis to study the association between long-term ambient PM exposure and MetS risk. The data from five databases were extracted to analyze the association between ambient PM exposure and MetS risk. A random-effects model was performed to estimate the overall risk effect. The present systematic review and meta-analysis illustrated that an increase of 5 μg/m3 in annual PM2.5 or PM10 concentration was associated with 14% or 9% increases of MetS risk, respectively (PM2.5, RR = 1.14, 95%CI [1.03, 1.25]; PM10, RR = 1.09, 95%CI [1.00, 1.19]). The population-attributable risk (PAR) was 12.28% for PM2.5 exposure or 8.26% for PM10 exposure, respectively. There was statistical association between PM2.5 exposure and risk of MetS in male proportion ≥50%, Asia, related disease or medication non-adjustment subgroup as well as cohort study subgroups, respectively. The significant association between PM10 exposure and risk of MetS was observed in male proportion ≥50% and calories intake adjustment subgroups, respectively. Sensitivity analyses showed the robustness of our results. No publication bias was detected. In conclusion, there was positive association between long-term PM exposure and MetS risk. 12.28% of MetS risk could be attributable to PM2.5 exposure.
Collapse
Affiliation(s)
- Jie Ning
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, PR China
| | - Yaling Zhang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, PR China
| | - Huaifang Hu
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, PR China
| | - Wentao Hu
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, PR China
| | - Lipeng Li
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, PR China
| | - Yaxian Pang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, PR China
| | - Shitao Ma
- Department of Occupation Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, PR China
| | - Yujie Niu
- Department of Occupation Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, PR China
| | - Rong Zhang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, PR China; Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, PR China.
| |
Collapse
|
74
|
Cao H, Li B, Liu K, Pan L, Cui Z, Zhao W, Zhang H, Niu K, Tang N, Sun J, Han X, Wang Z, Xia J, He H, Cao Y, Xu Z, Meng G, Shan A, Guo C, Sun Y, Peng W, Liu X, Xie Y, Wen F, Zhang F, Shan G, Zhang L. Association of long-term exposure to ambient particulate pollution with stage 1 hypertension defined by the 2017 ACC/AHA Hypertension Guideline and cardiovascular disease: The CHCN-BTH cohort study. ENVIRONMENTAL RESEARCH 2021; 199:111356. [PMID: 34048743 DOI: 10.1016/j.envres.2021.111356] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 05/13/2021] [Accepted: 05/15/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Evidence regarding the effects of ambient air pollution on new stage 1 hypertension defined by the 2017 ACC/AHA Hypertension Guideline remains sparse. OBJECTIVES To investigate the association of long-term exposure to ambient PM2.5 with stage 1 hypertension and to explore the mediating and modifying effects of PM2.5 on cardiovascular disease (CVD). METHODS A total of 32,135 participants aged 18-80 years were recruited in 2017. The three-year (2014-2016) average PM2.5 concentrations were assessed by a spatial statistical model. Blood pressure (BP) was divided into four categories according to the 2017 ACC/AHA Hypertension Guideline: normal BP (SBP<120 mmHg and DBP<80 mmHg), elevated BP (SBP 120-129 mmHg and DBP<80 mmHg), stage 1 hypertension (SBP 130-139 mmHg or DBP 80-89 mmHg), and stage 2 hypertension (SBP≥140 mmHg or DBP≥90 mmHg or taking antihypertensive medications). The associations of PM2.5 with BP categories were estimated by two-level generalized linear mixed models. Analyses stratified by age, mediation and interaction analyses of PM2.5 and stage 1 hypertension with CVD were performed. RESULTS We detected a positive significant association between long-term exposure to PM2.5 and stage 1 hypertension. Compared to normal BP, the OR was 1.05 (95% CI: 1.02, 1.08) per 10 μg/m3 increase in PM2.5. The association was stronger than that of elevated BP but weaker than that of stage 2 hypertension. Stage 1 hypertension only partially mediated the association between PM2.5 and CVD, and the mediation proportions ranged from 1.55% to 11.00%. However, it modified the association between PM2.5 and CVD, which was greater in participants with stage 1 hypertension (OR: 1.66; 95% CI: 1.43, 1.93) than in participants with normal BP (OR: 1.32; 95% CI: 1.11, 1.57), with Pinteraction<0.001. In the analysis stratified by age, the above associations were age-specific, and significant associations were only observed in the young and middle-aged (<60 years) groups. CONCLUSIONS Long-term exposure to ambient PM2.5 was significantly associated with stage 1 hypertension. This earlier stage of hypertension may be a trigger BP range for adverse effects of air pollution in the development of hypertension and CVD, especially in young and middle-aged individuals.
Collapse
Affiliation(s)
- Han Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, And Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Bingxiao Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, And Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Kuo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, And Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, And School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Ze Cui
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, Hebei, China
| | - Wei Zhao
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Han Zhang
- Health Management Center, Beijing Aerospace General Hospital, Beijing, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jixin Sun
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, Hebei, China
| | - Xiaoyan Han
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Zhengfang Wang
- Health Management Center, Beijing Aerospace General Hospital, Beijing, China
| | - Juan Xia
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, And Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, And School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Yajing Cao
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, Hebei, China
| | - Zhiyuan Xu
- Department of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Anqi Shan
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Chunyue Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, And Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yanyan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, And Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Wenjuan Peng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, And Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiaohui Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, And Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yunyi Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, And Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Fuyuan Wen
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, And Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Fengxu Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, And Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, And School of Basic Medicine, Peking Union Medical College, Beijing, China.
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, And Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| |
Collapse
|
75
|
Oxidative Stress Biomarkers in the Relationship between Type 2 Diabetes and Air Pollution. Antioxidants (Basel) 2021; 10:antiox10081234. [PMID: 34439482 PMCID: PMC8388875 DOI: 10.3390/antiox10081234] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 07/27/2021] [Indexed: 12/21/2022] Open
Abstract
The incidence and prevalence of type 2 diabetes have increased in the last decades and are expected to further grow in the coming years. Chronic hyperglycemia triggers free radical generation and causes increased oxidative stress, affecting a number of molecular mechanisms and cellular pathways, including the generation of advanced glycation end products, proinflammatory and procoagulant effects, induction of apoptosis, vascular smooth-muscle cell proliferation, endothelial and mitochondrial dysfunction, reduction of nitric oxide release, and activation of protein kinase C. Among type 2 diabetes determinants, many data have documented the adverse effects of environmental factors (e.g., air pollutants) through multiple exposure-induced mechanisms (e.g., systemic inflammation and oxidative stress, hypercoagulability, and endothelial and immune responses). Therefore, here we discuss the role of air pollution in oxidative stress-related damage to glycemic metabolism homeostasis, with a particular focus on its impact on health. In this context, the improvement of new advanced tools (e.g., omic techniques and the study of epigenetic changes) may provide a substantial contribution, helping in the evaluation of the individual in his biological totality, and offer a comprehensive assessment of the molecular, clinical, environmental, and epidemiological aspects.
Collapse
|
76
|
Pan K, Jiang S, Du X, Zeng X, Zhang J, Song L, Lei L, Zhou J, Kan H, Sun Q, Xie Y, Dong C, Zhao J. Parental PM 2 .5 exposure changes Th17/Treg cells in offspring, is associated with the elevation of blood pressure. ENVIRONMENTAL TOXICOLOGY 2021; 36:1152-1161. [PMID: 33605513 DOI: 10.1002/tox.23114] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 12/10/2020] [Accepted: 02/04/2021] [Indexed: 06/12/2023]
Abstract
Epidemiological evidences have indicated that fine particulate matter (PM2.5 ) exposure is associated with the occurrence and development of hypertension. The present study aims to explore the effects of parental PM2.5 exposure on blood pressure in offspring and elucidate the potential mechanism. The parental male and female C57BL/6 mice were exposed to concentrated PM2.5 or filtered air (FA) using Shanghai Meteorological and Environmental Animal Exposure System (Shanghai-METAS) for 16 weeks. At week 12, the mice were assigned to breed offspring. The male offspring mice were further exposed to PM2.5 or FA as above method. During the parental exposure, the average PM2.5 concentration was 133.7 ± 53.32 μg/m3 in PM chamber, whereas the average concentration in FA chamber was 9.4 ± 0.23 μg/m3 . Similarly, during the offspring exposure, the average concentration in PM and FA chamber were 100.76 ± 26.97 μg/m3 and 9.15 ± 0.15 μg/m3 , respectively. The PM2.5 -exposed offspring mice displayed the elevation of blood pressure, the increase of angiotensin II (Ang II), the decrease of angiotensin converting enzyme 2 (ACE2) and Ang (1-7) in serum when compared with the FA-exposed offspring mice. The similar results displayed in the proteins expression of ACE2, AT1R, and Ang (1-7) in vessel and kidney. More importantly, parental PM exposure further induced the increase in serous Ang II and the protein expression of AT1R in vessel, but decrease in ACE2 and Ang (1-7). The serous Ang II was positively associated with splenic T helper type 17 (Th17) cell population and serous IL (interleukin)-17A, but negatively associated with T regular (Treg) cell population and serous IL-10. The results suggested that parental air pollution exposure might induce the elevation of offspring blood pressure via mediate Th17- and Treg-related immune microenvironment.
Collapse
Affiliation(s)
- Kun Pan
- Department of Infectious Disease Control, Center for Disease Control and Prevention of Shangcheng in Hangzhou, Hangzhou, Zhejiang, China
- Department of Environmental Health, School of Public Health and the Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China
| | - Shuo Jiang
- Department of Environmental Health, School of Public Health and the Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China
| | - Xihao Du
- Department of Environmental Health, School of Public Health and the Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China
| | - Xuejiao Zeng
- Department of Environmental Health, School of Public Health and the Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China
| | - Jia Zhang
- Department of Environmental Health, School of Public Health and the Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China
| | - Liying Song
- Department of Environmental Health, School of Public Health and the Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China
| | - Lei Lei
- Department of Environmental Health, School of Public Health and the Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China
| | - Ji Zhou
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, China
| | - Haidong Kan
- Department of Environmental Health, School of Public Health and the Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China
| | - Qinghua Sun
- Division of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, Ohio
| | - Yuquan Xie
- Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chen Dong
- Administrative office, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jinzhuo Zhao
- Department of Environmental Health, School of Public Health and the Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai, China
| |
Collapse
|
77
|
Hehua Z, Qing C, Yuhong Z. Association between ambient particulate matter exposure and platelet counts in adults: a retrospective cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:31268-31275. [PMID: 33599925 DOI: 10.1007/s11356-021-12865-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 02/04/2021] [Indexed: 06/12/2023]
Abstract
Associations between ambient particulate matter exposure and platelet counts are inconsistent in previous studies, and study on the effect of long-term exposure especially in Asian populations is limited. We explored the associations between long-term PM2.5 (particulate matter < 2.5 μm) exposure and platelet counts using a prospective cohort study in Northeast China. We used a logistic regression model to analyze the effects of different PM2.5 increments and platelet count elevation. Mixed linear models were used to analyze the association between PM2.5 concentration and platelet counts. Interaction and sub-group analyses were also conducted. Results showed that every 1 μg/m3 increment of PM2.5 exposure was associated with 0.29% (95%CI: 0.25-0.32%) increase in platelet counts and 10% (95%CI: 8-12%) higher risk of platelet elevation. Effects of long-term PM2.5 exposure on platelet elevation were stronger in male participants, of Han ethnicity, and without diabetes. Long-term PM2.5 exposure would increase platelet counts in adults in Northeast area of China, which might add more evidence to the potential biological mechanisms responsible for the effect of air pollution exposure on cardiovascular disease.
Collapse
Affiliation(s)
- Zhang Hehua
- Clinical Research Center, Shengjing Hospital of China Medical University, Huaxiang Road No. 39, Tiexi District, Shenyang, China
| | - Chang Qing
- Clinical Research Center, Shengjing Hospital of China Medical University, Huaxiang Road No. 39, Tiexi District, Shenyang, China
| | - Zhao Yuhong
- Clinical Research Center, Department of Clinical Epidemiology, Shenjing Hospital of China Medical University, Sanhao Street, No. 36, Heping District, Shenyang, China.
| |
Collapse
|
78
|
Gao H, Shi J, Cheng H, Zhang Y, Zhang Y. The impact of long- and short-term exposure to different ambient air pollutants on cognitive function in China. ENVIRONMENT INTERNATIONAL 2021; 151:106416. [PMID: 33667754 DOI: 10.1016/j.envint.2021.106416] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 12/30/2020] [Accepted: 01/22/2021] [Indexed: 06/12/2023]
Abstract
In the field of environmental health, the impact of air pollution on people's cognitive function is receiving increasing attention. Various air pollution exposures and different exposure periods result in different degrees of damage to cognition. This paper first used CFPS cognitive tests to evaluate the cognitive function of 15,163 adults in 25 provinces of China. Next, based on the geographical location of the population, the kriging interpolation method was applied to evaluate the different exposure periods for various air pollutants (PM2.5, NO2 and O3). Air pollution exposures lasting 3 years and more were referred to in this paper as long-term exposures, while those lasting<3 years were short-term exposures. This paper used an ordinary least squares (OLS) regression model to explore the differential effects of various air pollutant exposures and discussed the impact of long- and short-term exposure to pollutants. Subsequently, Moran's index was used to test the spatial connection for cognitive function, and the spatial error model was used for analysis in the spatial autoregressive model. This research also conducted a heterogeneity study on the justice of air pollutant exposure among people with different characteristics. The population was classified according to cognitive function and geographic location using OLS regression and quantile regression, and a propensity score matching (PSM) model was used for cross-validation to explore whether people with different characteristics and attributes were differentially exposed to air pollution. We found that there were significant negative relationships between air pollutant exposure and cognitive function, especially PM2.5 exposure and long-term exposure. In addition, air pollution had significantly different impacts on cognition based on the different characteristics and attributes of the person exposed. This study helps by analyzing the socioeconomic factors that affect the level of exposure and suggests that groups who are vulnerable to environmental pollution should be protected and the occurrence of injustice reduced. The study also provides a reference for the distribution of pollution sources and the allocation of health resources, which can be useful for population distribution planning.
Collapse
Affiliation(s)
- Huaxi Gao
- Beijing Normal University, School of Environment, China.
| | - Jieran Shi
- Beijing Normal University, School of Environment, China.
| | - Hongguang Cheng
- Beijing Normal University, College of Water Sciences, China.
| | - Yaqin Zhang
- Taiyuan University of Science and Technology, School of Applied Science, China.
| | - Yan Zhang
- Beijing Normal University, School of Environment, China.
| |
Collapse
|
79
|
Abstract
Ambient air pollution is produced by sources including vehicular traffic, coal-fired power plants, hydraulic fracturing, agricultural production, and forest fires. It consists of primary pollutants generated by combustion and secondary pollutants formed in the atmosphere from precursor gases. Air pollution causes and exacerbates climate change, and climate change worsens health effects of air pollution. Infants and children are uniquely sensitive to air pollution, because their organs are developing and they have higher air per body weight intake. Health effects linked to air pollution include not only exacerbations of respiratory diseases but also reduced lung function development and increased asthma incidence. Additional outcomes of concern include preterm birth, low birth weight, neurodevelopmental disorders, IQ loss, pediatric cancers, and increased risks for adult chronic diseases. These effects are mediated by oxidative stress, chronic inflammation, endocrine disruption, and genetic and epigenetic mechanisms across the life span. Natural experiments demonstrate that with initiatives such as increased use of public transportation, both air quality and community health improve. Similarly, the Clean Air Act has improved air quality, although exposure inequities persist. Other effective strategies for reducing air pollution include ending reliance on coal, oil, and gas; regulating industrial emissions; reducing exposure with attention to proximity of residences, schools, and child care facilities to traffic; and a greater awareness of the Air Quality Index. This policy reviews both short- and long-term health consequences of ambient air pollution, especially in relation to developmental exposures. It examines individual, community, and legislative strategies to mitigate air pollution.
Collapse
Affiliation(s)
- Heather L Brumberg
- Division of Neonatology, Maria Fareri Children's Hospital, Westchester Medical Center and Departments of Pediatrics and Public Health, New York Medical College, Valhalla, New York; and
| | | | | |
Collapse
|
80
|
Hou Y, Gao M, Huang L, Wang Q. Air Pollution Reduces Interpersonal Trust: The Roles of Emotion and Emotional Susceptibility. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18115631. [PMID: 34070334 PMCID: PMC8197547 DOI: 10.3390/ijerph18115631] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 05/20/2021] [Accepted: 05/21/2021] [Indexed: 12/01/2022]
Abstract
Air pollution has been shown to have detrimental effects on physical and mental health, yet little is known about how air pollution affects psychosocial functioning in everyday life. We conducted three studies that utilized experimental methods and web crawler technology to examine the effect of hazy environmental conditions on perceived interpersonal trust, and to investigate the roles of emotion and emotional susceptibility in mediating or moderating the negative impact of air pollution. In Study 1, participants were presented with landscape photos that showed either hazy scenes or clear scenes. Those who viewed photos of hazy scenes reduced their levels of interpersonal trust. In Study 2, emotion data were collected from social media with web crawler technology, in connection with meteorological monitoring data during the same period. Hazy conditions were associated with reduced expressions of positive emotion on social media, whereas clearer conditions were associated with enhanced positive emotional expressions. In Study 3, we simulated Weibo communications in the laboratory. The findings showed that emotional susceptibility moderated the negative effect of hazy conditions on interpersonal trust, and negative emotion mediated the effect of hazy conditions on interpersonal trust. The findings advance the understanding of the impact of air pollution on interpersonal trust and social relations and the associated psychological mechanisms and boundary conditions. They have important real-life implications.
Collapse
Affiliation(s)
- Yubo Hou
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China; (M.G.); (L.H.)
- Correspondence: (Y.H.); (Q.W.)
| | - Meiqi Gao
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China; (M.G.); (L.H.)
| | - Lianqiong Huang
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China; (M.G.); (L.H.)
| | - Qi Wang
- Department of Human Development, Cornell University, Ithaca, NY 14853, USA
- Correspondence: (Y.H.); (Q.W.)
| |
Collapse
|
81
|
Xu H, Guo B, Qian W, Ciren Z, Guo W, Zeng Q, Mao D, Xiao X, Wu J, Wang X, Wei J, Chen G, Li S, Guo Y, Meng Q, Zhao X. Dietary Pattern and Long-Term Effects of Particulate Matter on Blood Pressure: A Large Cross-Sectional Study in Chinese Adults. Hypertension 2021; 78:184-194. [PMID: 33993725 DOI: 10.1161/hypertensionaha.121.17205] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
Collapse
Affiliation(s)
- Huan Xu
- West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, China (H.X., B.G., X.X., J. Wu, X.W., X.Z.)
| | - Bing Guo
- West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, China (H.X., B.G., X.X., J. Wu, X.W., X.Z.)
| | - Wen Qian
- Chengdu Center for Disease Control and Prevention, Sichuan, China (W.Q.)
| | - Zhuoga Ciren
- Tibet Center for Disease Control and Prevention, Lhasa, China (Z.C.)
| | - Wei Guo
- Tibet University, Lhasa, China (W.G.)
| | - Qibing Zeng
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China (Q.Z.)
| | - Deqiang Mao
- Chongqing Municipal Center for Disease Control and Prevention, China (D.M.)
| | - Xiong Xiao
- West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, China (H.X., B.G., X.X., J. Wu, X.W., X.Z.)
| | - Jialong Wu
- West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, China (H.X., B.G., X.X., J. Wu, X.W., X.Z.)
| | - Xing Wang
- West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, China (H.X., B.G., X.X., J. Wu, X.W., X.Z.)
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park (J. Wei)
| | - Gongbo Chen
- School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China (G.C.)
| | - Shanshan Li
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia (S.L., Y.G.)
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia (S.L., Y.G.)
| | - Qiong Meng
- Department of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, Yunnan, China (Q.M.)
| | - Xing Zhao
- West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, China (H.X., B.G., X.X., J. Wu, X.W., X.Z.)
| | | |
Collapse
|
82
|
Impact of Air Pollution on Allergic Rhinitis and Asthma: Consensus Statement by Indian Academy of Pediatrics. Indian Pediatr 2021. [DOI: 10.1007/s13312-021-2288-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
|
83
|
Hill BG, Rood B, Ribble A, Haberzettl P. Fine particulate matter (PM 2.5) inhalation-induced alterations in the plasma lipidome as promoters of vascular inflammation and insulin resistance. Am J Physiol Heart Circ Physiol 2021; 320:H1836-H1850. [PMID: 33666505 PMCID: PMC8163652 DOI: 10.1152/ajpheart.00881.2020] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 03/01/2021] [Accepted: 03/01/2021] [Indexed: 02/07/2023]
Abstract
Fine particulate matter (PM2.5) air pollution exposure increases the risk of developing cardiovascular disease (CVD). Although the precise mechanisms by which air pollution exposure increases CVD risk remain uncertain, research indicates that PM2.5-induced endothelial dysfunction contributes to CVD risk. Previous studies demonstrate that concentrated ambient PM2.5 (CAP) exposure induces vascular inflammation and impairs insulin and vascular endothelial growth factor (VEGF) signaling dependent on pulmonary oxidative stress. To assess whether CAP exposure induces these vascular effects via plasmatic factors, we incubated aortas from naïve mice with plasma isolated from mice exposed to HEPA-filtered air or CAP (9 days) and examined vascular inflammation and insulin and VEGF signaling. We found that treatment of naïve aortas with plasma from CAP-exposed mice activates NF-κBα and induces insulin and VEGF resistance, indicating transmission by plasmatic factor(s). To identify putative factors, we exposed lung-specific ecSOD-transgenic (ecSOD-Tg) mice and wild-type (WT) littermates to CAP at concentrations of either ∼60 µg/m3 (CAP60) or ∼100 µg/m3 (CAP100) and measured the abundance of plasma metabolites by mass spectrometry. In WT mice, both CAP concentrations increased levels of fatty acids such as palmitate, myristate, and palmitoleate and decreased numerous phospholipid species; however, these CAP-induced changes in the plasma lipidome were prevented in ecSOD-Tg mice. Consistent with the literature, we found that fatty acids such as palmitate are sufficient to promote endothelial inflammation. Collectively, our findings suggest that PM2.5 exposure, by inducing pulmonary oxidative stress, promotes unique lipidomic changes characterized by high levels of circulating fatty acids, which are sufficient to trigger vascular pathology.NEW & NOTEWORTHY We found that circulating plasma constituents are responsible for air pollution-induced vascular pathologies. Inhalation of fine particulate matter (≤PM2.5) promotes a unique form of dyslipidemia that manifests in a manner dependent upon pulmonary oxidative stress. The air pollution-engendered dyslipidemic phenotype is characterized by elevated free fatty acid species and diminished phospholipid species, which could contribute to vascular inflammation and loss of insulin sensitivity.
Collapse
Affiliation(s)
- Bradford G Hill
- Diabetes and Obesity Center, Christina Lee Brown Envirome Institute, Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, Kentucky
| | - Benjamin Rood
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, Kentucky
| | - Amanda Ribble
- Diabetes and Obesity Center, Christina Lee Brown Envirome Institute, Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, Kentucky
| | - Petra Haberzettl
- Diabetes and Obesity Center, Christina Lee Brown Envirome Institute, Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, Kentucky
| |
Collapse
|
84
|
McGraw KE, Riggs DW, Rai S, Navas-Acien A, Xie Z, Lorkiewicz P, Lynch J, Zafar N, Krishnasamy S, Taylor KC, Conklin DJ, DeFilippis AP, Srivastava S, Bhatnagar A. Exposure to volatile organic compounds - acrolein, 1,3-butadiene, and crotonaldehyde - is associated with vascular dysfunction. ENVIRONMENTAL RESEARCH 2021; 196:110903. [PMID: 33636185 PMCID: PMC8119348 DOI: 10.1016/j.envres.2021.110903] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 02/03/2021] [Accepted: 02/16/2021] [Indexed: 05/03/2023]
Abstract
BACKGROUND Cardiovascular disease (CVD) is the leading cause of mortality worldwide. Exposure to air pollution, specifically particulate matter of diameter ≤2.5 μm (PM2.5), is a well-established risk factor for CVD. However, the contribution of gaseous pollutant exposure to CVD risk is less clear. OBJECTIVE To examine the vascular effects of exposure to individual volatile organic compounds (VOCs) and mixtures of VOCs. METHODS We measured urinary metabolites of acrolein (CEMA and 3HPMA), 1,3-butadiene (DHBMA and MHBMA3), and crotonaldehyde (HPMMA) in 346 nonsmokers with varying levels of CVD risk. On the day of enrollment, we measured blood pressure (BP), reactive hyperemia index (RHI - a measure of endothelial function), and urinary levels of catecholamines and their metabolites. We used generalized linear models for evaluating the association between individual VOC metabolites and BP, RHI, and catecholamines, and we used Bayesian Kernel Machine Regression (BKMR) to assess exposure to VOC metabolite mixtures and BP. RESULTS We found that the levels of 3HPMA were positively associated with systolic BP (0.98 mmHg per interquartile range (IQR) of 3HPMA; CI: 0.06, 1.91; P = 0.04). Stratified analysis revealed an increased association with systolic BP in Black participants despite lower levels of urinary 3HPMA. This association was independent of PM2.5 exposure and BP medications. BKMR analysis confirmed that 3HPMA was the major metabolite associated with higher BP in the presence of other metabolites. We also found that 3HPMA and DHBMA were associated with decreased endothelial function. For each IQR of 3HPMA or DHBMA, there was a -4.4% (CI: -7.2, -0.0; P = 0.03) and a -3.9% (CI: -9.4, -0.0; P = 0.04) difference in RHI, respectively. Although in the entire cohort the levels of several urinary VOC metabolites were weakly associated with urinary catecholamines and their metabolites, in Black participants, DHBMA levels showed strong associations with urinary norepinephrine and normetanephrine levels. DISCUSSION Exposure to acrolein and 1,3-butadiene is associated with endothelial dysfunction and may contribute to elevated risk of hypertension in participants with increased sympathetic tone, particularly in Black individuals.
Collapse
Affiliation(s)
- Katlyn E McGraw
- Christina Lee Brown Envirome Institute, 302 E Muhammad Ali Blvd, Louisville, KY, 40202, USA; Superfund Research Center, 302 E Muhammad Ali Blvd, Louisville, KY 40202, USA; University of Louisville School of Public Health and Information Sciences, USA; Department of Environmental and Occupational Health Sciences, USA
| | - Daniel W Riggs
- Christina Lee Brown Envirome Institute, 302 E Muhammad Ali Blvd, Louisville, KY, 40202, USA; Superfund Research Center, 302 E Muhammad Ali Blvd, Louisville, KY 40202, USA; University of Louisville School of Public Health and Information Sciences, USA; Department of Epidemiology and Population Health, USA
| | - Shesh Rai
- Christina Lee Brown Envirome Institute, 302 E Muhammad Ali Blvd, Louisville, KY, 40202, USA; Superfund Research Center, 302 E Muhammad Ali Blvd, Louisville, KY 40202, USA; University of Louisville School of Public Health and Information Sciences, USA; Department of Bioinformatics and Biostatistics, 485 E Gray Street, Louisville, KY, 40202, USA
| | - Ana Navas-Acien
- Columbia University Mailman School of Public Health, USA; Department of Environmental Health Science, 722 W 168th St, New York, NY, 10032, USA
| | - Zhengzhi Xie
- Christina Lee Brown Envirome Institute, 302 E Muhammad Ali Blvd, Louisville, KY, 40202, USA; Superfund Research Center, 302 E Muhammad Ali Blvd, Louisville, KY 40202, USA
| | - Pawel Lorkiewicz
- Christina Lee Brown Envirome Institute, 302 E Muhammad Ali Blvd, Louisville, KY, 40202, USA; Superfund Research Center, 302 E Muhammad Ali Blvd, Louisville, KY 40202, USA
| | - Jordan Lynch
- Christina Lee Brown Envirome Institute, 302 E Muhammad Ali Blvd, Louisville, KY, 40202, USA; Superfund Research Center, 302 E Muhammad Ali Blvd, Louisville, KY 40202, USA
| | - Nagma Zafar
- Christina Lee Brown Envirome Institute, 302 E Muhammad Ali Blvd, Louisville, KY, 40202, USA
| | - Sathya Krishnasamy
- Christina Lee Brown Envirome Institute, 302 E Muhammad Ali Blvd, Louisville, KY, 40202, USA
| | - Kira C Taylor
- University of Louisville School of Public Health and Information Sciences, USA; Department of Epidemiology and Population Health, USA
| | - Daniel J Conklin
- Christina Lee Brown Envirome Institute, 302 E Muhammad Ali Blvd, Louisville, KY, 40202, USA; Superfund Research Center, 302 E Muhammad Ali Blvd, Louisville, KY 40202, USA
| | - Andrew P DeFilippis
- Christina Lee Brown Envirome Institute, 302 E Muhammad Ali Blvd, Louisville, KY, 40202, USA; Superfund Research Center, 302 E Muhammad Ali Blvd, Louisville, KY 40202, USA
| | - Sanjay Srivastava
- Christina Lee Brown Envirome Institute, 302 E Muhammad Ali Blvd, Louisville, KY, 40202, USA; Superfund Research Center, 302 E Muhammad Ali Blvd, Louisville, KY 40202, USA; University of Louisville School of Public Health and Information Sciences, USA
| | - Aruni Bhatnagar
- Christina Lee Brown Envirome Institute, 302 E Muhammad Ali Blvd, Louisville, KY, 40202, USA; Superfund Research Center, 302 E Muhammad Ali Blvd, Louisville, KY 40202, USA.
| |
Collapse
|
85
|
Wang M, Zhou T, Song Y, Li X, Ma H, Hu Y, Heianza Y, Qi L. Joint exposure to various ambient air pollutants and incident heart failure: a prospective analysis in UK Biobank. Eur Heart J 2021; 42:1582-1591. [PMID: 33527989 PMCID: PMC8060055 DOI: 10.1093/eurheartj/ehaa1031] [Citation(s) in RCA: 131] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 09/18/2020] [Accepted: 12/07/2020] [Indexed: 12/12/2022] Open
Abstract
AIMS Little is known about the relation between the long-term joint exposure to various ambient air pollutants and the incidence of heart failure (HF). We aimed to assess the joint association of various air pollutants with HF risk and examine the modification effect of the genetic susceptibility. METHODS AND RESULTS This study included 432 530 participants free of HF, atrial fibrillation, or coronary heart disease in the UK Biobank study. All participants were enrolled from 2006 to 2010 and followed up to 2018. The information on particulate matter (PM) with diameters ≤2.5 µm (PM2.5), ≤10 µm (PM10), and between 2.5 and 10 µm (PM2.5-10) as well as nitrogen oxides (NO2 and NOx) was collected. We newly proposed an air pollution score to assess the joint exposure to the five air pollutants through summing each pollutant concentration weighted by the regression coefficients with HF from single-pollutant models. We also calculated the weighted genetic risk score of HF. During a median of 10.1 years (4 346 642 person-years) of follow-up, we documented 4201 incident HF. The hazard ratios (HRs) [95% confidence interval (CI)] of HF for a 10 µg/m3 increase in PM2.5, PM10, PM2.5-10, NO2, and NOx were 1.85 (1.34-2.55), 1.61 (1.30-2.00), 1.13 (0.80-1.59), 1.10 (1.04-1.15), and 1.04 (1.02-1.06), respectively. We found that the air pollution score was associated with an increased risk of incident HF in a dose-response fashion. The HRs (95% CI) of HF were 1.16 (1.05-1.28), 1.19 (1.08-1.32), 1.21 (1.09-1.35), and 1.31 (1.17-1.48) in higher quintile groups compared with the lowest quintile of the air pollution score (P trend <0.001). In addition, we observed that the elevated risk of HF associated with a higher air pollution score was strengthened by the genetic susceptibility to HF. CONCLUSION Our results indicate that the long-term joint exposure to various air pollutants including PM2.5, PM10, PM2.5-10, NO2, and NOx is associated with an elevated risk of incident HF in an additive manner. Our findings highlight the importance to comprehensively assess various air pollutants in relation to the HF risk.
Collapse
Affiliation(s)
- Mengying Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Tao Zhou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
| | - Yongze Song
- School of Design and the Built Environment, Curtin University, Kent Street, Bentley, Perth, Western Australia 6102, Australia
| | - Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA 70112, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA
| |
Collapse
|
86
|
Bowe B, Gibson AK, Xie Y, Yan Y, van Donkelaar A, Martin RV, Al-Aly Z. Ambient Fine Particulate Matter Air Pollution and Risk of Weight Gain and Obesity in United States Veterans: An Observational Cohort Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:47003. [PMID: 33793302 PMCID: PMC8016176 DOI: 10.1289/ehp7944] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
BACKGROUND Experimental evidence and studies of children and adolescents suggest that ambient fine particulate matter [particulate matter ≤2.5μm in aerodynamic diameter (PM2.5)] air pollution may be obesogenic, but the relationship between PM2.5 and the risk of body weight gain and obesity in adults is uncertain. OBJECTIVES Our goal was to characterize the association between PM2.5 and the risks of weight gain and obesity. METHODS We followed 3,902,440 U.S. Veterans from 2010 to 2018 (median 8.1 y, interquartile range: 7.3-8.4) and assigned time-updated PM2.5 exposures by linking geocoded residential street addresses with satellite-based estimates of surface-level PM2.5 mass (at ∼1-km2 resolution). Associations with PM2.5 were estimated using Cox proportional hazards models for incident obesity [body mass index (BMI)≥30 kg/m2] and a 10-lb increase in weight relative to baseline and linear mixed models for associations with intra-individual changes in BMI and weight. RESULTS A 10-μg/m3 higher average annual PM2.5 concentration was associated with risk of incident obesity [n=2,325,769; hazard ratio (HR)=1.08 (95% CI: 1.06, 1.11)] and the risk of a 10-lb (4.54 kg) increase in weight [HR=1.07 (95% CI: 1.06, 1.08)] and with higher intra-individual changes in BMI [0.140 kg/m2 per year (95% CI: 0.139, 0.142)] and weight [0.968 lb/y (95% CI: 0.955, 0.981)]. Nonlinear exposure-response models indicated associations at PM2.5 concentrations below the national standard of 12 μg/m3. As expected, a negative exposure control (ambient air sodium) was not associated with obesity or weight gain. Associations were consistent in direction and magnitude across sensitivity analyses that included alternative outcomes and exposures assigned at different spatial resolutions. DISCUSSION PM2.5 air pollution was associated with the risk of obesity and weight gain in a large predominantly male cohort of U.S. Veterans. Discussions about health effects of PM2.5 should include its association with obesity, and deliberations about the epidemiology of obesity should consider its association with PM2.5. Investigation in other cohorts will deepen our understanding of the relationship between PM2.5 and weight gain and obesity. https://doi.org/10.1289/EHP7944.
Collapse
Affiliation(s)
- Benjamin Bowe
- Clinical Epidemiology Center, Research and Development Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, Missouri, USA
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, Missouri, USA
- Veterans Research and Education Foundation of Saint Louis, Saint Louis, Missouri, USA
| | - Andrew K. Gibson
- Clinical Epidemiology Center, Research and Development Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, Missouri, USA
- Veterans Research and Education Foundation of Saint Louis, Saint Louis, Missouri, USA
| | - Yan Xie
- Clinical Epidemiology Center, Research and Development Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, Missouri, USA
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, Missouri, USA
- Veterans Research and Education Foundation of Saint Louis, Saint Louis, Missouri, USA
| | - Yan Yan
- Clinical Epidemiology Center, Research and Development Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, Missouri, USA
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Energy, Environmental & Chemical Engineering, Washington University in Saint Louis, Saint Louis, Missouri, USA
| | - Randall V. Martin
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Energy, Environmental & Chemical Engineering, Washington University in Saint Louis, Saint Louis, Missouri, USA
| | - Ziyad Al-Aly
- Clinical Epidemiology Center, Research and Development Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, Missouri, USA
- Veterans Research and Education Foundation of Saint Louis, Saint Louis, Missouri, USA
- Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA
- Nephrology Section, Medicine Service, Veterans Affairs Saint Louis Health Care System, Saint Louis, Missouri, USA
- Institute for Public Health, Washington University in Saint Louis, Saint Louis, Missouri, USA
| |
Collapse
|
87
|
Singh P, O'Toole TE, Conklin DJ, Hill BG, Haberzettl P. Endothelial progenitor cells as critical mediators of environmental air pollution-induced cardiovascular toxicity. Am J Physiol Heart Circ Physiol 2021; 320:H1440-H1455. [PMID: 33606580 PMCID: PMC8260385 DOI: 10.1152/ajpheart.00804.2020] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 01/26/2021] [Accepted: 02/14/2021] [Indexed: 01/15/2023]
Abstract
Environmental air pollution exposure is a leading cause of death worldwide, and with increasing industrialization and urbanization, its disease burden is expected to rise even further. The majority of air pollution exposure-associated deaths are linked to cardiovascular disease (CVD). Although ample research demonstrates a strong correlation between air pollution exposure and CVD risk, the mechanisms by which inhalation of polluted air affects cardiovascular health are not completely understood. Inhalation of environmental air pollution has been associated with endothelial dysfunction, which suggests that air pollution exposure impacts CVD health by inducing endothelial injury. Interestingly, recent studies demonstrate that air pollution exposure affects the number and function of endothelial progenitor cells (EPCs), subpopulations of bone marrow-derived proangiogenic cells that have been shown to play an essential role in maintaining cardiovascular health. In line with their beneficial function, chronically low levels of circulating EPCs and EPC dysfunction (e.g., in diabetic patients) have been associated with vascular dysfunction, poor cardiovascular health, and increases in the severity of cardiovascular outcomes. In contrast, treatments that improve EPC number and function (e.g., exercise) have been found to attenuate cardiovascular dysfunction. Considering the critical, nonredundant role of EPCs in maintaining vascular health, air pollution exposure-induced impairments in EPC number and function could lead to endothelial dysfunction, consequently increasing the risk for CVD. This review article covers novel aspects and new mechanistic insights of the adverse effects of air pollution exposure on cardiovascular health associated with changes in EPC number and function.
Collapse
Affiliation(s)
- Parul Singh
- Division of Environmental Medicine, Diabetes and Obesity Center, Department of Medicine, University of Louisville, Louisville, Kentucky
| | - Timothy E O'Toole
- Division of Environmental Medicine, Diabetes and Obesity Center, Department of Medicine, University of Louisville, Louisville, Kentucky
| | - Daniel J Conklin
- Division of Environmental Medicine, Diabetes and Obesity Center, Department of Medicine, University of Louisville, Louisville, Kentucky
| | - Bradford G Hill
- Division of Environmental Medicine, Diabetes and Obesity Center, Department of Medicine, University of Louisville, Louisville, Kentucky
| | - Petra Haberzettl
- Division of Environmental Medicine, Diabetes and Obesity Center, Department of Medicine, University of Louisville, Louisville, Kentucky
| |
Collapse
|
88
|
Requia WJ, Roig HL, Schwartz JD. Schools exposure to air pollution sources in Brazil: A nationwide assessment of more than 180 thousand schools. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 763:143027. [PMID: 33129521 DOI: 10.1016/j.scitotenv.2020.143027] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 09/30/2020] [Accepted: 10/10/2020] [Indexed: 05/12/2023]
Abstract
A growing body of evidence demonstrates that children at schools who are exposed to increased concentrations of air pollutants may have a higher risk for several health problems, including cognitive deficits. In this paper we estimate the exposure to air pollution sources at 186,080 schools in Brazil. Specifically, we accounted for the exposure to three proxies of air pollution source emissions, including distance to roadways, the extent of roadways within a buffer around each school, and the number of wildfire occurrences within a buffer around each school. About 25% of the Brazilian schools evaluated in our study are located within a distance ≤250 m of a major roadway, have ≥2 km of roadway within a buffer of 1 km, and have ≥7 wildfires records within a buffer of 10 km. Our results indicate significant prevalence ratio of these schools exposed to air pollution sources when we stratified the analyses by socioeconomic factors, including geographic (public schools had an increased likelihood of being exposed), economic (low-income areas had an increased likelihood of being exposed), health (overall, areas with low public health status had an increased likelihood of being exposed), and educational conditions (overall, areas with low educational indicator had an increased likelihood of being exposed). For example, we estimated that private schools were 15% (95% CI: 13-17%) less likely to be located within 250 m of a major roadway compared with public schools; schools in areas with low child mortality were 35% (95% CI: 34-37%) less likely to be within 250 m of a major roadway; and schools in regions with low expected years of schooling were 25% (95% CI: 22-28%) more likely to be located within 250 m of a major roadway. The analysis of the spatial patterns shows that a substantial number of schools (36-54%, depending on the air pollution source) has a positive autocorrelation, suggesting that exposure level at these schools are similar to their neighbors. Estimating children's exposure to air pollutants at school is crucial for future public policies to develop effective environmental, transportation, educational, and urban planning interventions that may protect students from exposure to environmental hazards and improve their safety, health, and learning performance.
Collapse
Affiliation(s)
- Weeberb J Requia
- School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Distrito Federal, Brazil.
| | - Henrique L Roig
- Geoscience Institute, University of Brasilia, Brasília, Distrito Federal, Brazil
| | - Joel D Schwartz
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, United States
| |
Collapse
|
89
|
Chu H, Huang FQ, Yuan Q, Fan Y, Xin J, Du M, Wang M, Zhang Z, Ma G. Metabolomics identifying biomarkers of PM 2.5 exposure for vulnerable population: based on a prospective cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:14586-14596. [PMID: 33215280 DOI: 10.1007/s11356-020-11677-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 11/15/2020] [Indexed: 06/11/2023]
Abstract
Long-term exposure to particular matter (PM), especially fine PM (< 2.5 μm in the aerodynamic diameter, PM2.5), is associated with increased risk of cardiovascular disorders. This study aimed to evaluate the association between long-term exposure to PM2.5/PM10 and the metabolic change in the plasma. Specifically, using metabolomics, we sought to identify the biomarkers for the vulnerable subgroup to PM2.5 exposure. A total of 78 college student volunteers were recruited into this prospective cohort study. All participants received 8 rounds of physical examinations at twice quarterly. Air purifiers were placed in 40 of 78 participants' dormitories for 14 days. Before and after intervention, physical examinations were performed and the peripheral blood was collected. Plasma metabolomics was determined by ultra-performance liquid chromatography-mass spectrometry. During the follow-up, the average concentrations of PM2.5 and PM10 were 53 μg/m3 and 93 μg/m3, respectively. Totally, 42 and 120 differential metabolic features were detected for PM10 and PM2.5 exposure, respectively. In total, 25 differential metabolites were identified for PM2.5 exposure, most of which were phospholipids. No distinctive metabolites were found for PM10 exposure. A total of 6 differential metabolites (lysoPC (P-20:0), lysoPC (P-18:1(9z)), lysoPC (20:1), lysoPC (O-16:0), choline, and found 1,3-diphenylprop-2-en-1-one) were characterized and confirmed for sensitive individuals. Importantly, we found LysoPC (P-20:0) and LysoPC (P-18:1(9z)) changed significantly before and after air purifier intervention. Our results indicated that the phospholipid catabolism was involved in long-term PM2.5 exposure. LysoPC (P-20:0) and LysoPC (P-18:1(9z)) may be the biomarkers of PM2.5 exposure.
Collapse
Affiliation(s)
- Haiyan Chu
- Department of Environmental Genomics, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Department of Genetic Toxicology, Center for Global Health, School of Public Health, Nanjing Medical Universty, Nanjing, China
| | - Feng-Qing Huang
- State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, No. 639 Longmian Road, Nanjing, 211198, China
| | - Qi Yuan
- Department of Environmental Genomics, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Department of Genetic Toxicology, Center for Global Health, School of Public Health, Nanjing Medical Universty, Nanjing, China
| | - Yuanming Fan
- State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, No. 639 Longmian Road, Nanjing, 211198, China
| | - Junyi Xin
- Department of Environmental Genomics, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Department of Genetic Toxicology, Center for Global Health, School of Public Health, Nanjing Medical Universty, Nanjing, China
| | - Mulong Du
- Department of Environmental Genomics, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Department of Genetic Toxicology, Center for Global Health, School of Public Health, Nanjing Medical Universty, Nanjing, China
| | - Meilin Wang
- Department of Environmental Genomics, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Department of Genetic Toxicology, Center for Global Health, School of Public Health, Nanjing Medical Universty, Nanjing, China
| | - Zhengdong Zhang
- Department of Environmental Genomics, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
- Department of Genetic Toxicology, Center for Global Health, School of Public Health, Nanjing Medical Universty, Nanjing, China.
| | - Gaoxiang Ma
- State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, No. 639 Longmian Road, Nanjing, 211198, China.
| |
Collapse
|
90
|
Tao S, Xu Y, Chen M, Zhang H, Huang X, Li Z, Pan B, Peng R, Zhu Y, Kan H, Li W, Ying Z. Exposure to different fractions of diesel exhaust PM 2.5 induces different levels of pulmonary inflammation and acute phase response. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 210:111871. [PMID: 33422840 DOI: 10.1016/j.ecoenv.2020.111871] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 12/22/2020] [Accepted: 12/24/2020] [Indexed: 06/12/2023]
Abstract
AIM Ambient fine particulate matter (PM2.5) consists of various components, and their respective contributions to the toxicity of PM2.5 remains to be determined. To provide specific recommendations for preventing adverse effects due to PM2.5 pollution, we determined whether the induction of pulmonary inflammation, the putative pathogenesis for the morbidity and mortality due to PM2.5 exposure, was fractioned through solubility-dependent fractioning. METHODS In the present study, the water and heptane solubilities-dependent serial fractioning of diesel exhaust particulate matter (DEP), a prominent source of urban PM2.5 pollution, was performed. The pro-inflammatory actions of these resultant fractions were then determined using both an intratracheal instillation mouse model and cultured BEAS-2B cells, a human bronchial epithelial cell line. RESULTS Instillation of the water-insoluble, but not -soluble fraction elicited significant pulmonary inflammatory and acute phase responses, comparable to those induced by instillation of DEP. The water-insoluble fraction was further fractioned using heptane, a polar organic solvent, and instillation of heptane-insoluble, but not -soluble fraction elicited significant pulmonary inflammation and acute phase responses. Furthermore, we showed that DEP and water-insoluble DEP, but not water-soluble DEP, activated pro-inflammatory signaling in cultured BEAS-2B cells, ruling out the possibility that the solubility impacts the in vivo distribution and thus the pulmonary inflammatory response.
Collapse
Affiliation(s)
- Shimin Tao
- NHC Key Lab of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), School of Pharmacy, Fudan University, Shanghai 200032, China.
| | - Yanyi Xu
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Minjie Chen
- Department of Medicine Cardiology Division, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
| | - Haichang Zhang
- Key Laboratory of Rubber-Plastics of Ministry of Education/Shandong Province (QUST), School of Polymer Science & Engineering, Qingdao University of Science & Technology, Qingdao 266042, China.
| | - Xingke Huang
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Zhouzhou Li
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Bin Pan
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Renzhen Peng
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Yaning Zhu
- Department of Pathology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, China.
| | - Haidong Kan
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Weihua Li
- NHC Key Lab of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), School of Pharmacy, Fudan University, Shanghai 200032, China.
| | - Zhekang Ying
- Department of Medicine Cardiology Division, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
| |
Collapse
|
91
|
Liu Y, Wang T, Si B, Du H, Liu Y, Waqas A, Huang S, Zhao G, Chen S, Xu A. Intratracheally instillated diesel PM 2.5 significantly altered the structure and composition of indigenous murine gut microbiota. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 210:111903. [PMID: 33429322 DOI: 10.1016/j.ecoenv.2021.111903] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 12/30/2020] [Accepted: 01/04/2021] [Indexed: 06/12/2023]
Abstract
A diverse and large community of gut microbiota reside in the intestinal tract of various organisms and play important roles in metabolism and immune homeostasis of its host. The disorders of microbiota-host interaction have been closely associated with numerous chronic inflammatory and metabolic diseases, including inflammatory bowel disease and type 2 diabetes. The accumulating evidence has shown that fine particulate matter (PM2.5) exposure contributes to the diabetes, atherosclerosis and inflammatory bowel diseases; however, few studies have explored the impact of inhaled diesel PM2.5 on gut microbiota in vivo. In this study, C57BL/6J mice were exposed to diesel PM2.5 for 14 days via intratracheal instillation, and colon tissues and feces were harvested for microbiota analysis. Using high-throughput sequencing technology, we observed that intratracheally instillated diesel PM2.5 significantly altered the gut microbiota diversity and community. At the phylum and genus levels, principal coordinate analysis (PCoA) and principal component analysis (PCA) indicated pronounced segregation of microbiota compositions, which were further confirmed by β diversity analysis. As the most affected phylum, Bacteroidetes was greatly diminished by diesel PM2.5. On the genus level, Escherichia, Parabacteroides, Akkermansia, and Oscillibacter were significantly elevated by diesel PM2.5 exposure. Our findings provided clear evidence that exposure to diesel PM2.5 via intratracheal instillation deteriorated the gastrointestinal (GI) tract and significantly altered the structure and composition of gut microbiota, which might subsequently contribute to the developmental abnormalities of inflammation, immunity and metabolism.
Collapse
Affiliation(s)
- Ying Liu
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, CAS; Anhui Province Key Laboratory of Environmental Toxicology and Pollution Control Technology, High Magnetic Field Laboratory of Hefei Institutes of Physical Science, CAS, Hefei, Anhui 230031, China; University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Tong Wang
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, CAS; Anhui Province Key Laboratory of Environmental Toxicology and Pollution Control Technology, High Magnetic Field Laboratory of Hefei Institutes of Physical Science, CAS, Hefei, Anhui 230031, China; University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Bo Si
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, CAS; Anhui Province Key Laboratory of Environmental Toxicology and Pollution Control Technology, High Magnetic Field Laboratory of Hefei Institutes of Physical Science, CAS, Hefei, Anhui 230031, China; University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Hua Du
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, CAS; Anhui Province Key Laboratory of Environmental Toxicology and Pollution Control Technology, High Magnetic Field Laboratory of Hefei Institutes of Physical Science, CAS, Hefei, Anhui 230031, China
| | - Yun Liu
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, CAS; Anhui Province Key Laboratory of Environmental Toxicology and Pollution Control Technology, High Magnetic Field Laboratory of Hefei Institutes of Physical Science, CAS, Hefei, Anhui 230031, China
| | - Ahmed Waqas
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, CAS; Anhui Province Key Laboratory of Environmental Toxicology and Pollution Control Technology, High Magnetic Field Laboratory of Hefei Institutes of Physical Science, CAS, Hefei, Anhui 230031, China
| | - Shengwei Huang
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, CAS; Anhui Province Key Laboratory of Environmental Toxicology and Pollution Control Technology, High Magnetic Field Laboratory of Hefei Institutes of Physical Science, CAS, Hefei, Anhui 230031, China
| | - Guoping Zhao
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, CAS; Anhui Province Key Laboratory of Environmental Toxicology and Pollution Control Technology, High Magnetic Field Laboratory of Hefei Institutes of Physical Science, CAS, Hefei, Anhui 230031, China
| | - Shaopeng Chen
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, CAS; Anhui Province Key Laboratory of Environmental Toxicology and Pollution Control Technology, High Magnetic Field Laboratory of Hefei Institutes of Physical Science, CAS, Hefei, Anhui 230031, China
| | - An Xu
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, CAS; Anhui Province Key Laboratory of Environmental Toxicology and Pollution Control Technology, High Magnetic Field Laboratory of Hefei Institutes of Physical Science, CAS, Hefei, Anhui 230031, China; Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China.
| |
Collapse
|
92
|
Qin J, Xia W, Liang G, Xu S, Zhao X, Wang D, Sun X, Li Y, Liu H. Association of fine particulate matter with glucose and lipid metabolism: a longitudinal study in young adults. Occup Environ Med 2021; 78:oemed-2020-107039. [PMID: 33637624 DOI: 10.1136/oemed-2020-107039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 01/19/2021] [Accepted: 01/27/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVES This study aimed to evaluate whether PM2.5 exposure in a highly polluted area (>100 µg/m3) affects glucose and lipid metabolism in healthy adults. METHODS We recruited 110 healthy adults in Baoding city, Hebei, China, and followed them up between 2017 and 2018. Personal air samplers were used to monitor personal PM2.5 levels. Eight glucose and lipid metabolism parameters were quantified. We performed the linear mixed-effect models to investigate the relationships between PM2.5 and glucose and lipid metabolism parameters. Stratified analyses were further performed according to sex and body mass index (BMI). RESULTS The concentration of PM2.5 was the highest in spring, with a median of 232 μg/m3 and the lowest in autumn (139 μg/m3). After adjusting for potential confounders, we found that for each twofold increase in PM2.5, the median of insulin concentration decreased by 5.89% (95% CI -10.91% to -0.58%; p<0.05), and ox-LDL increased by 6.43% (95% CI 2.21% to 10.82%; p<0.05). Stratified analyses indicated that the associations were more pronounced in females, overweight and obese participants. CONCLUSIONS Exposure to high PM2.5 may have deleterious effects on glucose and lipid metabolism. Females, overweight and obese participants are more vulnerable.
Collapse
Affiliation(s)
- Jingyi Qin
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gaodao Liang
- Institute of Environmental Health, Wuhan Centers for Disease Prevention & Control, Wuhan, Hubei, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiuge Zhao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Danlu Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Xiaojie Sun
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongxiu Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
93
|
Delgado-Saborit JM, Guercio V, Gowers AM, Shaddick G, Fox NC, Love S. A critical review of the epidemiological evidence of effects of air pollution on dementia, cognitive function and cognitive decline in adult population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 757:143734. [PMID: 33340865 DOI: 10.1016/j.scitotenv.2020.143734] [Citation(s) in RCA: 98] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 10/26/2020] [Accepted: 11/01/2020] [Indexed: 05/24/2023]
Abstract
Dementia is arguably the most pressing public health challenge of our age. Since dementia does not have a cure, identifying risk factors that can be controlled has become paramount to reduce the personal, societal and economic burden of dementia. The relationship between exposure to air pollution and effects on cognitive function, cognitive decline and dementia has stimulated increasing scientific interest in the past few years. This review of the literature critically examines the available epidemiological evidence of associations between exposure to ambient air pollutants, cognitive performance, acceleration of cognitive decline, risk of developing dementia, neuroimaging and neurological biomarker studies, following Bradford Hill guidelines for causality. The evidence reviewed has been consistent in reporting associations between chronic exposure to air pollution and reduced global cognition, as well as impairment in specific cognitive domains including visuo-spatial abilities. Cognitive decline and dementia incidence have also been consistently associated with exposure to air pollution. The neuro-imaging studies reviewed report associations between exposure to air pollution and white matter volume reduction. Other reported effects include reduction in gray matter, larger ventricular volume, and smaller corpus callosum. Findings relating to ischemic (white matter hyperintensities/silent cerebral infarcts) and hemorrhagic (cerebral microbleeds) markers of cerebral small vessel disease have been heterogeneous, as have observations on hippocampal volume and air pollution. The few studies available on neuro-inflammation tend to report associations with exposure to air pollution. Several effect modifiers have been suggested in the literature, but more replication studies are required. Traditional confounding factors have been controlled or adjusted for in most of the reviewed studies. Additional confounding factors have also been considered, but the inclusion of these has varied among the different studies. Despite all the efforts to adjust for confounding factors, residual confounding cannot be completely ruled out, especially since the factors affecting cognition and dementia are not yet fully understood. The available evidence meets many of the Bradford Hill guidelines for causality. The reported associations between a range of air pollutants and effects on cognitive function in older people, including the acceleration of cognitive decline and the induction of dementia, are likely to be causal in nature. However, the diversity of study designs, air pollutants and endpoints examined precludes the attribution of these adverse effects to a single class of pollutant and makes meta-analysis inappropriate.
Collapse
Affiliation(s)
- Juana Maria Delgado-Saborit
- Universitat Jaume I, Perinatal Epidemiology, Environmental Health and Clinical Research, School of Medicine, Castellon, Spain; Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, UK; ISGlobal Barcelona Institute for Global Health, Barcelona Biomedical Research Park, Barcelona, Spain; Division of Environmental Health & Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Birmingham, UK.
| | - Valentina Guercio
- Air Quality and Public Health Group, Environmental Hazards and Emergencies Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Didcot, UK
| | - Alison M Gowers
- Air Quality and Public Health Group, Environmental Hazards and Emergencies Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Didcot, UK
| | | | - Nick C Fox
- Department of Neurodegenerative Disease, Dementia Research Centre, University College London, Institute of Neurology, London, UK
| | - Seth Love
- Institute of Clinical Neurosciences, University of Bristol, School of Medicine, Level 2 Learning and Research, Southmead Hospital, Bristol, UK
| |
Collapse
|
94
|
Xu J, Zhang L, Wu Q, Zhou Y, Jin Z, Li Z, Zhu Y. Body roundness index is a superior indicator to associate with the cardio-metabolic risk: evidence from a cross-sectional study with 17,000 Eastern-China adults. BMC Cardiovasc Disord 2021; 21:97. [PMID: 33593274 PMCID: PMC7885560 DOI: 10.1186/s12872-021-01905-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Accepted: 02/03/2021] [Indexed: 12/11/2022] Open
Abstract
Background To investigate the ability of body shape index (ABSI), body roundness index (BRI), waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and body adiposity index (BAI) for predicting non-adipose cardio-metabolic risk. Methods A total of 17,360 Chinese subjects aged 18–95 years old who escaped cardiovascular disease (CVD) or diabetes were recruited in the cross-sectional study. Anthropometric and biochemical parameters were assessed. Receiver operating characteristic curve (ROC) and multinomial logistic regression were conducted to examine the association of anthropometric indicators with cardio-metabolic risk factors. Results The mean age of subjects were 53.7(13.1) years, 41.6 % were males. The areas under the curve (AUC) demonstrated that WC, BMI, WHR, WHtR and BRI were able to predict high cardio-metabolic risk (AUC > 0.70). Meanwhile, multinomial logistic regression showed BRI was significantly associated with high cardio-metabolic risk (OR 3.27, 95% CI 3.01–3.55). The optimal cut-off values of BRI for high cardio-metabolic risk were (< 60 y: 3.49 vs. ≥60 y: 3.46) in males and (< 60 y: 3.47 vs. ≥60 y: 3.60) in females. Conclusions WC, BMI WHR, and WHtR were potential obesity indicators in discriminating high cardio-metabolic risk, while BAI or ABSI was not. Moreover, BRI revealed superior predictive capacity and significant association with accumulated cardio-metabolic risk factors. Supplementary Information The online version contains supplementary material available at 10.1186/s12872-021-01905-x.
Collapse
Affiliation(s)
- Jinjian Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Liqun Zhang
- Putuo District People's Hospital, Zhoushan, 316100, Zhejiang, China
| | - Qiong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Yaohan Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Ziqi Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Zhijian Li
- The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Yimin Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China. .,Department of Respiratory, Sir Run Run Shaw Hospital Affiliated to School of Medicine, Zhejiang University, Hangzhou, 310020, Zhejiang, China.
| |
Collapse
|
95
|
Bendtsen KM, Bengtsen E, Saber AT, Vogel U. A review of health effects associated with exposure to jet engine emissions in and around airports. Environ Health 2021; 20:10. [PMID: 33549096 PMCID: PMC7866671 DOI: 10.1186/s12940-020-00690-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 12/29/2020] [Indexed: 05/03/2023]
Abstract
BACKGROUND Airport personnel are at risk of occupational exposure to jet engine emissions, which similarly to diesel exhaust emissions include volatile organic compounds and particulate matter consisting of an inorganic carbon core with associated polycyclic aromatic hydrocarbons, and metals. Diesel exhaust is classified as carcinogenic and the particulate fraction has in itself been linked to several adverse health effects including cancer. METHOD In this review, we summarize the available scientific literature covering human health effects of exposure to airport emissions, both in occupational settings and for residents living close to airports. We also report the findings from the limited scientific mechanistic studies of jet engine emissions in animal and cell models. RESULTS Jet engine emissions contain large amounts of nano-sized particles, which are particularly prone to reach the lower airways upon inhalation. Size of particles and emission levels depend on type of aircraft, engine conditions, and fuel type, as well as on operation modes. Exposure to jet engine emissions is reported to be associated with biomarkers of exposure as well as biomarkers of effect among airport personnel, especially in ground-support functions. Proximity to running jet engines or to the airport as such for residential areas is associated with increased exposure and with increased risk of disease, increased hospital admissions and self-reported lung symptoms. CONCLUSION We conclude that though the literature is scarce and with low consistency in methods and measured biomarkers, there is evidence that jet engine emissions have physicochemical properties similar to diesel exhaust particles, and that exposure to jet engine emissions is associated with similar adverse health effects as exposure to diesel exhaust particles and other traffic emissions.
Collapse
Affiliation(s)
- Katja M. Bendtsen
- National Research Centre for the Working Environment, Lersø Parkallé 105, DK-2100 Copenhagen, Denmark
| | - Elizabeth Bengtsen
- National Research Centre for the Working Environment, Lersø Parkallé 105, DK-2100 Copenhagen, Denmark
| | - Anne T. Saber
- National Research Centre for the Working Environment, Lersø Parkallé 105, DK-2100 Copenhagen, Denmark
| | - Ulla Vogel
- National Research Centre for the Working Environment, Lersø Parkallé 105, DK-2100 Copenhagen, Denmark
- Department of Health Technology, Technical University of Denmark, DK-2800 Kgs Lyngby, Denmark
| |
Collapse
|
96
|
Yu Z, Mao X, Tang M, Chen Y, Wu M, Jin M, Wang J, Xu L, Ye G, Ding J, Ye B, Chen D, Chen Y, Chen X, Sheng X, Li H, Chen Q, Teng X, Ding Q, Yang H, Shen Z, Chen K, Yu C. Association between past exposure to fine particulate matter (PM 2.5) and peptic ulcer: A cross-sectional study in eastern China. CHEMOSPHERE 2021; 265:128706. [PMID: 33139052 DOI: 10.1016/j.chemosphere.2020.128706] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 10/18/2020] [Accepted: 10/19/2020] [Indexed: 06/11/2023]
Abstract
Ambient fine particulate matter (particle diameter < 2.5 μm, or PM2.5) is a major public health concern in China. Exposure to PM2.5 has been associated with a wide range of adverse health outcomes. The current study aimed to estimate the association between exposure to PM2.5 and the risk of peptic ulcer diseases (PUDs). We conducted a hospital-based cross-sectional study of seven major cities in Zhejiang Province, China (combined population > 57 million people), which included a total of 647,092 subjects who underwent gastroscopy examination (86,852 subjects were diagnosed with PUDs) recorded in 13 large hospitals from 2014 to 2018. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to evaluate the relationship between PM2.5 and PUDs, including duodenal ulcers (DUs) and gastric ulcers (GUs). The overall estimated OR (95% CI) associated with every 10-μg/m3 increase in the 1-month average PM2.5 before the detection of PUDs was 1.050 (95% CI: 1.038, 1.063). The association between PM2.5 concentration and the prevalence of PUDs tended to be attenuated but remained significant when considering different exposure periods (OR = 1.030, 95% CI = 1.018-1.043 for the 3-month moving average; OR = 1.020, 95% CI = 1.005-1.037 for the 6-month moving average). Stronger associations were observed for DUs than GUs. The observed positive association of PM2.5 exposure with PUDs remained significant in the two-pollutant models after adjusting for other air pollutants. Our findings could provide scientific evidence for a more general adverse role of air pollution on PUDs.
Collapse
Affiliation(s)
- Zhebin Yu
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, China; Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Xinli Mao
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, China
| | - Mengling Tang
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, China; Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Yi Chen
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, China
| | - Mengyin Wu
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Mingjuan Jin
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Jianbing Wang
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China
| | - Lei Xu
- Department of Gastroenterology, Ningbo First Hospital, Zhejiang, China
| | - Guoliang Ye
- Department of Gastroenterology, The Affiliated Hospital of Ningbo University School of Medicine, Zhejiang, China
| | - Jin Ding
- Department of Gastroenterology, Jinhua Municipal Central Hospital, Zhejiang, China
| | - Bin Ye
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China
| | - Dongya Chen
- Department of Gastroenterology, Zhejiang Integrated Traditional Chinese and Western Medicine Hospital, Zhejiang, China
| | - Yu Chen
- Department of Gastroenterology, The First Hospital of Jiaxing, Zhejiang, China
| | - Xia Chen
- Department of Gastroenterology, Wenling First People's Hospital, Zhejiang, China
| | - Xiancang Sheng
- Department of Gastroenterology, Taizhou First People's Hospital, Zhejiang, China
| | - Hongzhang Li
- Department of Gastroenterology, Sanmen People's Hospital, Zhejiang, China
| | - Qiang Chen
- Department of Gastroenterology, Sanmen People's Hospital, Zhejiang, China
| | - Xiaosheng Teng
- Department of Gastroenterology, Taizhou Central Hospital, Zhejiang, China
| | - Qiulong Ding
- Department of Gastroenterology, People's Hospital of Tiantai County, Zhejiang, China
| | - Haideng Yang
- Department of Gastroenterology, Taizhou Enze Hospital, Zhejiang, China
| | - Zhe Shen
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, China.
| | - Kun Chen
- Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, Zhejiang, China.
| | - Chaohui Yu
- Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, China.
| |
Collapse
|
97
|
Voss S, Schneider A, Huth C, Wolf K, Markevych I, Schwettmann L, Rathmann W, Peters A, Breitner S. ENVINT-D-20-01309: Long-term exposure to air pollution, road traffic noise, residential greenness, and prevalent and incident metabolic syndrome: Results from the population-based KORA F4/FF4 cohort in Augsburg, Germany. ENVIRONMENT INTERNATIONAL 2021; 147:106364. [PMID: 33421766 DOI: 10.1016/j.envint.2020.106364] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 11/12/2020] [Accepted: 12/21/2020] [Indexed: 05/28/2023]
Abstract
BACKGROUND A growing number of epidemiological studies show associations between environmental factors and impaired cardiometabolic health. However, evidence is scarce concerning these risk factors and their impact on metabolic syndrome (MetS). This analysis aims to investigate associations between long-term exposure to air pollution, road traffic noise, residential greenness, and MetS. METHODS We used data of the first (F4, 2006-2008) and second (FF4, 2013-2014) follow-up of the population-based KORA S4 survey in the region of Augsburg, Germany, to investigate associations between exposures and MetS prevalence at F4 (N = 2883) and MetS incidence at FF4 (N = 1192; average follow-up: 6.5 years). Residential long-term exposures to air pollution - including particulate matter (PM) with a diameter < 10 µm (PM10), PM < 2.5 µm (PM2.5), PM between 2.5 and 10 µm (PMcoarse), absorbance of PM2.5 (PM2.5abs), particle number concentration (PNC), nitrogen dioxide (NO2), ozone (O3) - and road traffic noise were modeled by land-use regression models and noise maps. For greenness, the Normalized Difference Vegetation Index (NDVI) was obtained. We estimated Odds Ratios (OR) for single and multi-exposure models using logistic regression and generalized estimating equations adjusted for confounders. Joint Odds Ratios were calculated based on the Cumulative Risk Index. Effect modifiers were examined with interaction terms. RESULTS We found positive associations between prevalent MetS and interquartile range (IQR) increases in PM10 (OR: 1.15; 95% confidence interval [95% CI]: 1.02, 1.29), PM2.5 (OR: 1.14; 95% CI: 1.02, 1.28), PMcoarse (OR: 1.14; 95% CI: 1.02, 1.27), and PM2.5abs (OR: 1.17; 95% CI: 1.03, 1.32). Results further showed negative, but non-significant associations between exposure to greenness and prevalent and incident MetS. No effects were seen for exposure to road traffic noise. Joint Odds Ratios from multi-exposure models were higher than ORs from models with only one exposure.
Collapse
Affiliation(s)
- Stephan Voss
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, LMU Munich, Munich, Germany; Pettenkofer School of Public Health, Munich, Germany; Institute of Epidemiology, Helmholtz Zentrum München GmbH - German Research Center for Environmental Health, Neuherberg, Germany.
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München GmbH - German Research Center for Environmental Health, Neuherberg, Germany
| | - Cornelia Huth
- Institute of Epidemiology, Helmholtz Zentrum München GmbH - German Research Center for Environmental Health, Neuherberg, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München GmbH - German Research Center for Environmental Health, Neuherberg, Germany
| | - Iana Markevych
- Institute of Epidemiology, Helmholtz Zentrum München GmbH - German Research Center for Environmental Health, Neuherberg, Germany; Institute and Clinic for Occupational, Social and Environmental Medicine, LMU Munich, Munich, Germany; Institute of Psychology, Jagiellonian University, Cracow, Poland
| | - Lars Schwettmann
- Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Neuherberg, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Duesseldorf, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München GmbH - German Research Center for Environmental Health, Neuherberg, Germany
| | - Susanne Breitner
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, LMU Munich, Munich, Germany; Institute of Epidemiology, Helmholtz Zentrum München GmbH - German Research Center for Environmental Health, Neuherberg, Germany
| |
Collapse
|
98
|
Kobos L, Shannahan J. Particulate matter inhalation and the exacerbation of cardiopulmonary toxicity due to metabolic disease. Exp Biol Med (Maywood) 2021; 246:822-834. [PMID: 33467887 DOI: 10.1177/1535370220983275] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Particulate matter is a significant public health issue in the United States and globally. Inhalation of particulate matter is associated with a number of systemic and organ-specific adverse health outcomes, with the pulmonary and cardiovascular systems being particularly vulnerable. Certain subpopulations are well-recognized as being more susceptible to inhalation exposures, such as the elderly and those with pre-existing respiratory disease. Metabolic syndrome is becoming increasingly prevalent in our society and has known adverse effects on the heart, lungs, and vascular systems. The limited evaluations of individuals with metabolic syndromehave demonstrated that theymay compose a sensitive subpopulation to particulate exposures. However, the toxicological mechanisms responsible for this increased vulnerability are not fully understood. This review evaluates the currently available literature regarding how the response of an individual's pulmonary and cardiovascular systems is influenced by metabolic syndrome and metabolic syndrome-associated conditions such as hypertension, dyslipidemia, and diabetes. Further, we will discuss potential therapeutic agents and targets for the alleviation and treatment of particulate-matter induced metabolic illness. The information reviewed here may contribute to the understanding of metabolic illness as a risk factor for particulate matter exposure and further the development of therapeutic approaches to treat vulnerable subpopulations, such as those with metabolic diseases.
Collapse
Affiliation(s)
- Lisa Kobos
- School of Health Sciences, College of Human and Health Sciences, Purdue University, West Lafayette, IN 47907, USA
| | - Jonathan Shannahan
- School of Health Sciences, College of Human and Health Sciences, Purdue University, West Lafayette, IN 47907, USA
| |
Collapse
|
99
|
Xu H, Guo B, Qian W, Ciren Z, Guo W, Zeng Q, Mao D, Xiao X, Wu J, Wang X, Wei J, Chen G, Li S, Guo Y, Meng Q, Zhao X, Cohort (CMEC) CME. Dietary Pattern and Long-Term Effects of Ambient Particulate Matter on Hypertension and Blood Pressure in Chinese Adults. SSRN ELECTRONIC JOURNAL 2021. [DOI: 10.2139/ssrn.3778003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
|
100
|
Meng Y, Lu Y, Xiang H, Liu S. Short-term effects of ambient air pollution on the incidence of influenza in Wuhan, China: A time-series analysis. ENVIRONMENTAL RESEARCH 2021; 192:110327. [PMID: 33075359 DOI: 10.1016/j.envres.2020.110327] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 09/28/2020] [Accepted: 10/07/2020] [Indexed: 05/19/2023]
Abstract
BACKGROUND Evidence suggests that air pollution is associated with many adverse health outcomes such as cardiovascular diseases (CVD), respiratory diseases, cancer, and birth defects. Yet few studies dig into the relationship between air pollution and airborne infectious diseases. METHODS Daily data on influenza incidence were obtained from Hubei Provincial Center for Disease Control and Prevention (Hubei CDC). Data on air pollutants including nitrogen dioxide (NO2), sulfur dioxide (SO2), ground-level ozone (O3), particulate matter (PM) with aerodynamic diameter ≤ 2.5 μm (PM2.5), and PM with aerodynamic diameter ≤ 10 μm (PM10) were retrieved from ten national air sampling stations located at Wuhan. We applied generalized additive model (GAM) to estimate the associations between air pollution and the risk of influenza in Wuhan, China during 2015-2017. RESULTS In the single-day lag model, the largest effect estimates were observed at lag 0. An increased relative risk (RR) of influenza was significantly associated with a 10 μg/m3 increase in SO2 (RR: 1.099; 95% confidence interval [CI]: 1.011-1.195), NO2 (RR: 1.039; 95% CI: 1.013-1.065), and O3 (RR: 1.005; 95% CI: 0.994-1.016), respectively. In the multi-day lag model, concentrations of SO2, NO2, and O3 were statistically significantly associated with the risk of influenza at lag 0-1. The seasonal analysis suggests that the influence of air pollution on influenza is greater in the cold season as compared in the warm season in the early lag days. The multi-pollutant model indicates that NO2 may be a potential confounder for co-pollutants. CONCLUSIONS Our study shows that air pollution may be associated with the risk of influenza in a broad sense. Therefore, when formulating policies to deal with influenza outbreaks in the future, factors regarding air pollution should be taken into consideration.
Collapse
Affiliation(s)
- Yongna Meng
- School of Health Sciences, Wuhan University, 115 Donghu Road, 430071, Wuhan, China
| | - Yuanan Lu
- Environmental Health Laboratory, Department of Public Health Sciences, University Hawaii at Manoa, 1960 East West Rd, Biomed Bldg, D105, Honolulu, USA
| | - Hao Xiang
- School of Health Sciences, Wuhan University, 115 Donghu Road, 430071, Wuhan, China.
| | - Suyang Liu
- School of Health Sciences, Wuhan University, 115 Donghu Road, 430071, Wuhan, China.
| |
Collapse
|