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Liu Q, Pan L, He H, Hu Y, Tu J, Zhang L, Sun Z, Cui Z, Han X, Huang H, Lin B, Fan Y, Ji Y, Shan G. Effects of long-term exposure to air pollutant mixture on blood pressure in typical areas of North China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 285:116987. [PMID: 39299210 DOI: 10.1016/j.ecoenv.2024.116987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 08/22/2024] [Accepted: 08/30/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND Studies about the combined effects of gaseous air pollutants and particulate matters are still rare. OBJECTIVES This study was performed based on baseline survey of the Diverse Life-Course Cohort in the Beijing-Tianjin-Hebei (BTH) Region of North China to evaluate the association of long-term air pollutants with blood pressure and the combined effect of the air pollutants mixture among 32821 natural han population aged 20 years or above. METHODS Three-year average exposure to air pollutants (PM10, PM2.5, PM1, O3, SO2, NO2, and CO) and PM2.5 components [black carbon (BC), ammonium (NH4+), nitrate (NO3-), sulfate (SO42-), and organic matter (OM)] of residential areas were calculated based on well-validated models. Generalized linear mixed models (GLMMs) were used to estimate the associations of air pollutants exposure with the systolic blood pressure (SBP), diastolic blood pressure (DBP), Mean arterial pressure (MAP), pulse pressure (PP) and prevalent hypertension. Quantile g-Computation and Bayesian Kernel Machine Regression (BKMR) were employed to assess the combined effect of the air pollutant mixture. RESULTS We found that long-term exposures of O3, PM2.5, and PM2.5 components were stably and strongly associated with elevated SBP, DBP, and MAP and prevalent hypertension. O3 increased SBP, DBP, and MAP at a similar extent, but with greater effects; while, PM2.5 and PM2.5 components had a greater impact on SBP than DBP, which increased PP simultaneously. In multi-pollutant models, the combined effects of the air pollutant mixture on blood pressure and prevalent hypertension was predominantly influenced by O3, PM2.5, and O3, OM in different models, respectively. For example, O3, PM2.5 contributed 57.25 %, 39.22 % of the positive combined effect of the air pollutant mixture on SBP; and O3, OM positively contributed 70.00 %, 30.00 % on prevalent hypertension, respectively. There were interactions between O3, CO, SO2 and PM2.5 components on hbp, SBP and PP. CONCLUSIONS The results showed positive associations of air pollutant mixtures with blood pressure, where O3 and PM2.5 (especially OM) might be primary contributors. There were interactions between gaseous air pollutants and PM2.5 components on blood pressure and prevalent hypertension.
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Affiliation(s)
- Qihang Liu
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Li Pan
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Huijing He
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Yaoda Hu
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Ji Tu
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, 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
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China; Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Ze Cui
- Hebei Provicel Center for diseases prevention and control, Shijiazhuang, Hebei, China
| | - Xiaoyan Han
- Chaoyang District Center for Disease Control and Prevention, Beijing, China
| | - Haibo Huang
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Binbin Lin
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China
| | - Yajiao Fan
- Department of Preventive Medicine, School of Public Health, Hebei University, Baoding, Hebei, China
| | - Yanxin Ji
- Baoding Center for Disease Control and Prevention, Hebei, China
| | - Guangliang Shan
- Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China; State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China.
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Rainey MJ, Keller KP. spconfShiny: An R Shiny application for calculating the spatial scale of smoothing splines for point data. PLoS One 2024; 19:e0311440. [PMID: 39365774 PMCID: PMC11452000 DOI: 10.1371/journal.pone.0311440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 09/18/2024] [Indexed: 10/06/2024] Open
Abstract
Epidemiological analyses of environmental exposures often benefit from including spatial splines in models to account for confounding by spatial location. Understanding how the number of splines relates to physical spatial differences is not always intuitive and can be context-dependent. To address this, we developed a R Shiny application, spconfShiny, that provides a user-friendly platform to calculate an effective bandwidth metric that quantifies the relationship between spatial splines and the range of implied spatial smoothing. spconfShiny can be accessed at https://g2aging.shinyapps.io/spconfShiny/. We illustrate the procedure to compute the effective bandwidth and demonstrate its use for different numbers of spatial splines across England, India, Ireland, Northern Ireland, and the United States. Using spconfShiny, we show the effective bandwidth increases with the size of the region and decreases with the number of splines. Including 10 splines on a 10km grid corresponds to effective bandwidths of 92.2km in Ireland and 927.7km in the United States.
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Affiliation(s)
- Maddie J. Rainey
- Department of Statistics, Colorado State University, Fort Collins, CO, United States of America
| | - Kayleigh P. Keller
- Department of Statistics, Colorado State University, Fort Collins, CO, United States of America
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Welker C, Huang J, Ramakrishna H. Air Quality and Cardiovascular Mortality: Analysis of Recent Data. J Cardiothorac Vasc Anesth 2024:S1053-0770(24)00504-4. [PMID: 39214795 DOI: 10.1053/j.jvca.2024.07.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 07/24/2024] [Indexed: 09/04/2024]
Affiliation(s)
- Carson Welker
- Department of Anesthesia/Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| | - Jeffrey Huang
- Department of Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| | - Harish Ramakrishna
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota.
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Zhao J, Mei Y, Li A, Zhou Q, Zhao M, Xu J, Li Y, Li K, Yang M, Xu Q. Association between PM 2.5 constituents and cardiometabolic risk factors: Exploring individual and combined effects, and mediating inflammation. CHEMOSPHERE 2024; 359:142251. [PMID: 38710413 DOI: 10.1016/j.chemosphere.2024.142251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/17/2024] [Accepted: 05/03/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND The individual and combined effects of PM2.5 constituents on cardiometabolic risk factors are sparsely investigated. Besides, the key cardiometabolic risk factor that PM2.5 constituents targeted and the biological mechanisms remain unclear. METHOD A multistage, stratified cluster sampling survey was conducted in two typically air-polluted Chinese cities. The PM2.5 and its constituents including sulfate, nitrate, ammonium, organic matter, and black carbon were predicted using a machine learning model. Twenty biomarkers in three category were simultaneously adopted as cardiometabolic risk factors. We explored the individual and mixture association of long-term PM2.5 constituents with these markers using generalized additive model and quantile-based g-computation, respectively. To minimize potential confounding effects, we accounted for covariates including demographic, lifestyle, meteorological, temporal trends, and disease-related information. We further used ROC curve and mediation analysis to identify the key subclinical indicators and explore whether inflammatory mediators mediate such association, respectively. RESULT PM2.5 constituents was positively correlated with HOMA-B, TC, TG, LDL-C and LCI, and negatively correlated with PP and RC. Further, PM2.5 constituent mixture was positive associated with DBP, MAP, HbA1c, HOMA-B, AC, CRI-1 and CRI-2, and negative associated with PP and HDL-C. The ROC analysis further reveals that multiple cardiometabolic risk factors can collectively discriminate exposure to PM2.5 constituents (AUC>0.9), among which PP and CRI-2 as individual indicators exhibit better identifiable performance for nitrate and ammonium (AUC>0.75). We also found that multiple blood lipid indicators may be affected by PM2.5 and its constituents, possibly mediated through complement C3 or hsCRP. CONCLUSION Our study suggested associations of individual and combined PM2.5 constituents exposure with cardiometabolic risk factors. PP and CRI-2 were the targeted markers of long-term exposure to nitrate and ammonium. Inflammation may serve as a mediating factor between PM2.5 constituents and dyslipidemia, which enhance current understanding of potential pathways for PM2.5-induced preclinical cardiovascular responses.
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Affiliation(s)
- Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China; Big Data Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Ming Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
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Zhang B, Mendes de Leon CF, Langa KM, Weuve J, Szpiro A, Faul J, D’Souza J, Kaufman JD, Hirth RA, Lisabeth LD, Gao J, Adar SD. Source-Specific Air Pollution and Loss of Independence in Older Adults Across the US. JAMA Netw Open 2024; 7:e2418460. [PMID: 38941096 PMCID: PMC11214115 DOI: 10.1001/jamanetworkopen.2024.18460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 04/23/2024] [Indexed: 06/29/2024] Open
Abstract
Importance Air pollution is a recognized risk factor associated with chronic diseases, including respiratory and cardiovascular conditions, which can lead to physical and cognitive impairments in later life. Although these losses of function, individually or in combination, reduce individuals' likelihood of living independently, little is known about the association of air pollution with this critical outcome. Objective To investigate associations between air pollution and loss of independence in later life. Design, Setting, and Participants This cohort study was conducted as part of the Environmental Predictors Of Cognitive Health and Aging study and used 1998 to 2016 data from the Health and Retirement Study. Participants included respondents from this nationally representative, population-based cohort who were older than 50 years and had not previously reported a loss of independence. Analyses were performed from August 31 to October 15, 2023. Exposures Mean 10-year pollutant concentrations (particulate matter less than 2.5 μm in diameter [PM2.5] or ranging from 2.5 μm to 10 μm in diameter [PM10-2.5], nitrogen dioxide [NO2], and ozone [O3]) were estimated at respondent addresses using spatiotemporal models along with PM2.5 levels from 9 emission sources. Main Outcomes and Measures Loss of independence was defined as newly receiving care for at least 1 activity of daily living or instrumental activity of daily living due to health and memory problems or moving to a nursing home. Associations were estimated with generalized estimating equation regression adjusting for potential confounders. Results Among 25 314 respondents older than 50 years (mean [SD] baseline age, 61.1 [9.4] years; 11 208 male [44.3%]), 9985 individuals (39.4%) experienced lost independence during a mean (SD) follow-up of 10.2 (5.5) years. Higher exposure levels of mean concentration were associated with increased risks of lost independence for total PM2.5 levels (risk ratio [RR] per 1-IQR of 10-year mean, 1.05; 95% CI, 1.01-1.10), PM2.5 levels from road traffic (RR per 1-IQR of 10-year mean, 1.09; 95% CI, 1.03-1.16) and nonroad traffic (RR per 1-IQR of 10-year mean, 1.13; 95% CI, 1.03-1.24), and NO2 levels (RR per 1-IQR of 10-year mean, 1.05; 95% CI, 1.01-1.08). Compared with other sources, traffic-generated pollutants were most consistently and robustly associated with loss of independence; only road traffic-related PM2.5 levels remained associated with increased risk after adjustment for PM2.5 from other sources (RR per 1-IQR increase in 10-year mean concentration, 1.10; 95% CI, 1.00-1.21). Other pollutant-outcome associations were null, except for O3 levels, which were associated with lower risks of lost independence (RR per 1-IQR increase in 10-year mean concentration, 0.94; 95% CI, 0.92-0.97). Conclusions and Relevance This study found that long-term exposure to air pollution was associated with the need for help for lost independence in later life, with especially large and consistent increases in risk for pollution generated by traffic-related sources. These findings suggest that controlling air pollution could be associated with diversion or delay of the need for care and prolonged ability to live independently.
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Affiliation(s)
- Boya Zhang
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | | | - Kenneth M. Langa
- Institute for Social Research, University of Michigan, Ann Arbor
- University of Michigan Medical School, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Adam Szpiro
- Department of Biostatistics, University of Washington, Seattle
| | - Jessica Faul
- Institute for Social Research, University of Michigan, Ann Arbor
| | - Jennifer D’Souza
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Joel D. Kaufman
- Department of Epidemiology, University of Washington, Seattle
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle
- Department of Medicine, University of Washington, Seattle
| | - Richard A. Hirth
- Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor
- Department of Internal Medicine, University of Michigan, Ann Arbor
| | - Lynda D. Lisabeth
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Jiaqi Gao
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Sara D. Adar
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
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Kaur G, Masket D, Reddy T, Revankar S, Satish P, Paquin A, Mulvagh S, O'Donoghue ML, Zieroth S, Farkouh M, Gulati M. Socioeconomic Disparities in Women's Cardiovascular Health in the United States and Canada. Can J Cardiol 2024; 40:1056-1068. [PMID: 38593915 DOI: 10.1016/j.cjca.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/12/2024] [Accepted: 04/02/2024] [Indexed: 04/11/2024] Open
Abstract
Cardiovascular disease has been the leading cause of death in the United States and Canada for decades. Although it affects millions of people across a multitude of backgrounds, notable disparities in cardiovascular health are observed among women and become more apparent when accounting for race and socioeconomic status. Although intrinsic sex-specific physiologic differences predispose women to poorer outcomes, social determinants of health (SDOH) and biases at both the individual provider and the larger health care system levels play an equal, if not greater, role. This review examines socioeconomic disparities in women compared with men regarding cardiovascular risk factors, treatments, and outcomes. Although various at-risk subpopulations exist, we highlight the impact of SDOH in specific populations, including patients with disabilities, transgender persons, and South Asian and Indigenous populations. These groups are underrepresented in studies and experience poorer health outcomes owing to structural barriers to care. These findings emphasise the significance of understanding the interplay of different socioeconomic factors and how their stacking can negatively affect women's cardiovascular health. To address these disparities, we propose a multipronged approach to augment culturally sensitive and patient-centred care. This includes increased cardiovascular workforce diversity, inclusion of underrepresented populations into analyses of cardiovascular metrics, and greater utilisation of technology and telemedicine to improve access to health care. Achieving this goal will necessitate active participation from patients, health care administrators, physicians, and policy makers, and is imperative in closing the cardiovascular health gap for women over the coming decades.
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Affiliation(s)
- Gurleen Kaur
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Diane Masket
- Rowan-Virtua School of Osteopathic Medicine, Stratford, New Jersey, USA
| | - Tina Reddy
- Tulane University School of Medicine, New Orleans, Louisiana, USA
| | - Shruti Revankar
- Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Priyanka Satish
- Ascension Texas Cardiovascular, University of Texas at Austin Dell School of Medicine, Austin, Texas, USA
| | - Amelie Paquin
- Barbra Streisand Women's Heart Center, Department of Cardiology, Cedars-Sinai Smidt Heart Institute, Los Angeles, California, USA
| | - Sharon Mulvagh
- Division of Cardiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Michelle L O'Donoghue
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Shelley Zieroth
- Division of Cardiology, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Michael Farkouh
- Department of Cardiology, Cedars-Sinai Smidt Heart Institute, Los Angeles, California, USA
| | - Martha Gulati
- Barbra Streisand Women's Heart Center, Department of Cardiology, Cedars-Sinai Smidt Heart Institute, Los Angeles, California, USA.
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Leinweber ME, Meisenbacher K, Schmandra T, Karl T, Torsello G, Walensi M, Geisbuesch P, Schmitz-Rixen T, Jung G, Hofmann AG. Exploring the Effects of Local Air Pollution on Popliteal Artery Aneurysms. J Clin Med 2024; 13:3250. [PMID: 38892961 PMCID: PMC11172973 DOI: 10.3390/jcm13113250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 05/27/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024] Open
Abstract
Objectives: A growing body of evidence highlights the effects of air pollution on chronic and acute cardiovascular diseases, such as associations between PM10 and several cardiovascular events. However, evidence of the impact of fine air pollutants on the development and progression of peripheral arterial aneurysms is not available. Methods: Data were obtained from the multicenter PAA outcome registry POPART and the German Environment Agency. Means of the mean daily concentration of PM10, PM2.5, NO2, and O3 concentrations were calculated for 2, 10, and 3650 days prior to surgery for each patient. Additionally, weighted ten-year averages were analyzed. Correlation was assessed by calculating Pearson correlation coefficients, and regression analyses were conducted as multiple linear or multiple logistic regression, depending on the dependent variable. Results: For 1193 patients from the POPART registry, paired air pollution data were available. Most patients were male (95.6%) and received open surgical repair (89.9%). On a regional level, the arithmetic means of the daily means of PM10 between 2000 and 2022 were neither associated with average diameters nor runoff vessels. Negative correlations for mean PAA diameter and mean NO2, as well as a positive correlation with mean O3, were found; however, they were not statistically significant. On patient level, no evidence for an association of mean PM10 exposure over ten years prior to inclusion in the registry and PAA diameter or the number of runoff vessels was found. Weighted PM10, NO2, and O3 exposure over ten years also did not result in significant associations with aneurysm diameter or runoff vessels. Short-term air pollutant concentrations were not associated with symptomatic PAAs or with perioperative complications. Conclusions: We found no indication that long-term air pollutant concentrations are associated with PAA size or severity, neither on a regional nor individual level. Additionally, short-term air pollution showed no association with clinical presentation or treatment outcomes.
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Affiliation(s)
| | - Katrin Meisenbacher
- Department of Vascular and Endovascular Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Thomas Schmandra
- Department of Vascular Surgery, Sana Klinikum Offenbach, 63069 Offenbach, Germany
| | - Thomas Karl
- Department of Vascular and Endovascular Surgery, Klinikum am Plattenwald, SLK-Kliniken Heilbronn GmbH, 74177 Bad Friedrichshall, Germany
| | - Giovanni Torsello
- Department for Vascular Surgery, Franziskus Hospital Münster, 48145 Münster, Germany
| | - Mikolaj Walensi
- Department of Vascular Surgery and Phlebology, Contilia Heart and Vascular Center, 45138 Essen, Germany
| | - Phillip Geisbuesch
- Department of Vascular and Endovascular Surgery, Klinikum Stuttgart, 70199 Stuttgart, Germany
| | - Thomas Schmitz-Rixen
- German Society of Surgery, Langenbeck-Virchow-Haus, Luisenstraße 58/59, 10117 Berlin, Germany
| | - Georg Jung
- Department of Vascular and Endovascular Surgery, Luzerner Kantonsspital, 6000 Lucern, Switzerland
| | - Amun Georg Hofmann
- FIFOS—Forum for Integrative Research and Systems Biology, 1170 Vienna, Austria
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Tasmin S, Aschebrook-Kilfoy B, Hedeker D, Gopalakrishnan R, Connellan E, Kibriya MG, Young MT, Kaufman JD, Ahsan H. Long-term exposure to ambient air pollution and measures of central hemodynamics and arterial stiffness among multiethnic Chicago residents. Environ Health 2024; 23:47. [PMID: 38715087 PMCID: PMC11075200 DOI: 10.1186/s12940-024-01077-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 04/02/2024] [Indexed: 05/12/2024]
Abstract
OBJECTIVES To examine whether long-term air pollution exposure is associated with central hemodynamic and brachial artery stiffness parameters. METHODS We assessed central hemodynamic parameters including central blood pressure, cardiac parameters, systemic vascular compliance and resistance, and brachial artery stiffness measures [including brachial artery distensibility (BAD), compliance (BAC), and resistance (BAR)] using waveform analysis of the arterial pressure signals obtained from a standard cuff sphygmomanometer (DynaPulse2000A, San Diego, CA). The long-term exposures to particles with an aerodynamic diameter < 2.5 μm (PM2.5) and nitrogen dioxide (NO2) for the 3-year periods prior to enrollment were estimated at residential addresses using fine-scale intra-urban spatiotemporal models. Linear mixed models adjusted for potential confounders were used to examine associations between air pollution exposures and health outcomes. RESULTS The cross-sectional study included 2,387 Chicago residents (76% African Americans) enrolled in the ChicagO Multiethnic Prevention And Surveillance Study (COMPASS) during 2013-2018 with validated address information, PM2.5 or NO2, key covariates, and hemodynamics measurements. We observed long-term concentrations of PM2.5 and NO2 to be positively associated with central systolic, pulse pressure and BAR, and negatively associated with BAD, and BAC after adjusting for relevant covariates. A 1-µg/m3 increment in preceding 3-year exposures to PM2.5 was associated with 1.8 mmHg higher central systolic (95% CI: 0.98, 4.16), 1.0 mmHg higher central pulse pressure (95% CI: 0.42, 2.87), a 0.56%mmHg lower BAD (95% CI: -0.81, -0.30), and a 0.009 mL/mmHg lower BAC (95% CI: -0.01, -0.01). CONCLUSION This population-based study provides evidence that long-term exposures to PM2.5 and NO2 is related to central BP and arterial stiffness parameters, especially among African Americans.
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Affiliation(s)
- Saira Tasmin
- Department of Public Health Sciences, University of Chicago, 5815 S. Maryland Ave, Rm TC-620A, MC2000, Chicago, IL, 60637, USA
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
| | - Briseis Aschebrook-Kilfoy
- Department of Public Health Sciences, University of Chicago, 5815 S. Maryland Ave, Rm TC-620A, MC2000, Chicago, IL, 60637, USA
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
| | - Donald Hedeker
- Department of Public Health Sciences, University of Chicago, 5815 S. Maryland Ave, Rm TC-620A, MC2000, Chicago, IL, 60637, USA
| | | | - Elizabeth Connellan
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
| | - Muhammad G Kibriya
- Department of Public Health Sciences, University of Chicago, 5815 S. Maryland Ave, Rm TC-620A, MC2000, Chicago, IL, 60637, USA
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
| | - Michael T Young
- Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Joel D Kaufman
- Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, 5815 S. Maryland Ave, Rm TC-620A, MC2000, Chicago, IL, 60637, USA.
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA.
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9
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Li Y, Yu B, Yin L, Li X, Nima Q. Long-term exposure to particulate matter is associated with elevated blood pressure: Evidence from the Chinese plateau area. J Glob Health 2024; 14:04039. [PMID: 38483442 PMCID: PMC10939114 DOI: 10.7189/jogh.14.04039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2024] Open
Abstract
Background Ambient air pollution could increase the risk of hypertension; however, evidence regarding the relationship between long-term exposure to particulate matter and elevated blood pressure in plateau areas with lower pollution levels is limited. Methods We assessed the associations of long-term exposure to particulate matter (PM, PM1, PM2.5, and PM10) with hypertension, diastolic blood pressure (DBP), systolic blood pressure (SBP) and pulse pressure (PP) in 4.235 Tibet adults, based on the baseline of the China multi-ethnic cohort study (CMEC) in Lhasa city, Tibet from 2018-19. We used logistic regression and linear regression models to evaluate the associations of ambient PM with hypertension and blood pressure, respectively. Results Long-term exposure to PM1, PM2.5, and PM10 is positively associated with hypertension, DBP, and SBP, while negatively associated with PP. Among these air pollutants, PM10 had the strongest effect on hypertension, DBP, and SBP, while PM2.5 had the strongest effect on PP. The results showed for hypertension odds ratio (OR) = 1.99; 95% confidence interval (CI) = 1.58, 2.51 per interquartile range (IQR) μg/m3 increase in PM1, OR = 1.93; 95% CI = 1.55, 2.40 per IQR μg/m3 increase in PM2.5, and OR = 2.12; 95% CI = 1.67, 2.68 per IQR μg/m3 increase in PM10. Conclusions Long-term exposure to ambient air pollution was associated with an increased risk of hypertension, elevated SBP and DBP levels, and decreased PP levels. To reduce the risk of hypertension and PP reduction, attention should be paid to air quality interventions in plateau areas with low pollution levels.
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Affiliation(s)
- Yajie Li
- Tibet Centre for Disease Control and Prevention, Lhasa, Tibet Autonomous Region, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University – Hong Kong Polytechnic University, Chengdu, China
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Li Yin
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Dali University, Dali, China
| | - Xianzhi Li
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Dali University, Dali, China
| | - Qucuo Nima
- Tibet Centre for Disease Control and Prevention, Lhasa, Tibet Autonomous Region, China
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10
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Kim E, Huh H, Mo Y, Park JY, Jung J, Lee H, Kim S, Kim DK, Kim YS, Lim CS, Lee JP, Kim YC, Kim H. Long-term ozone exposure and mortality in patients with chronic kidney disease: a large cohort study. BMC Nephrol 2024; 25:74. [PMID: 38418953 PMCID: PMC10900590 DOI: 10.1186/s12882-024-03500-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 02/12/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Epidemiologic studies on the effects of long-term exposure to ozone (O3) have shown inconclusive results. It is unclear whether to O3 has an effect on chronic kidney disease (CKD). We investigated the effects of O3 on mortality and renal outcome in CKD. METHODS We included 61,073 participants and applied Cox proportional hazards models to examine the effects of ozone on the risk of end-stage renal disease (ESRD) and mortality in a two-pollutants model adjusted for socioeconomic status. We calculated the concentration of ozone exposure one year before enrollment and used inverse distance weighting (IDW) for interpolation, where the exposure was evenly distributed. RESULTS In the single pollutant model, O3 was significantly associated with an increased risk of ESRD and all-cause mortality. Based on the O3 concentration from IDW interpolation, this moving O3 average was significantly associated with an increased risk of ESRD and all-cause mortality. In a two-pollutants model, even after we adjusted for other measured pollutants, nitrogen dioxide did not attenuate the result for O3. The hazard ratio (HR) value for the district-level assessment is 1.025 with a 95% confidence interval (CI) of 1.014-1.035, while for the point-level assessment, the HR value is 1.04 with a 95% CI of 1.035-1.045. The impact of ozone on ESRD, hazard ratio (HR) values are, 1.049(95%CI: 1.044-1.054) at the district unit and 1.04 (95%CI: 1.031-1.05) at the individual address of the exposure assessment. The ozone hazard ratio for all-cause mortality was 1.012 (95% confidence interval: 1.008-1.017) for administrative districts and 1.04 (95% confidence interval: 1.031-1.05) for individual addresses. CONCLUSIONS This study suggests that long-term ambient O3 increases the risk of ESRD and mortality in CKD. The strategy to decrease O3 emissions will substantially benefit health and the environment.
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Affiliation(s)
- Ejin Kim
- Institute of Health and Environment and Graduate School of Public Health, Seoul National University, Room 708, Building 220, Gwanak-Ro Gwanak-Gu, Seoul, 08826, Republic of Korea
- Department of Biostatistics and Epidemiology, School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Hyuk Huh
- Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Republic of Korea
- Department of Translational Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yongwon Mo
- Department of Landscape Architecture, Yeungnam University, Gyeongsan, Republic of Korea
| | - Jae Yoon Park
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Gyeonggi-Do, Republic of Korea
| | - Jiyun Jung
- Data Management and Statistics Institute, Dongguk University Ilsan Hospital, Ilsan, Republic of Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Daehak-Ro, Jongno-Gu, 101, Seoul, Republic of Korea
| | - Sejoong Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Daehak-Ro, Jongno-Gu, 101, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Translational Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University Hospital, Daehak-Ro, Jongno-Gu, 101, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Medical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Daehak-Ro, Jongno-Gu, 101, Seoul, Republic of Korea.
| | - Ho Kim
- Institute of Health and Environment and Graduate School of Public Health, Seoul National University, Room 708, Building 220, Gwanak-Ro Gwanak-Gu, Seoul, 08826, Republic of Korea.
- Department of Biostatistics and Epidemiology, School of Public Health, Seoul National University, Seoul, Republic of Korea.
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11
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Fu L, Guo Y, Zhu Q, Chen Z, Yu S, Xu J, Tang W, Wu C, He G, Hu J, Zeng F, Dong X, Yang P, Lin Z, Wu F, Liu T, Ma W. Effects of long-term exposure to ambient fine particulate matter and its specific components on blood pressure and hypertension incidence. ENVIRONMENT INTERNATIONAL 2024; 184:108464. [PMID: 38324927 DOI: 10.1016/j.envint.2024.108464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/10/2024] [Accepted: 01/29/2024] [Indexed: 02/09/2024]
Abstract
BACKGROUND Epidemiological evidence on the association of PM2.5 (particulate matter with aerodynamic diameter ≤ 2.5 μm) and its specific components with hypertension and blood pressure is limited. METHODS We applied information of participants from the World Health Organization's (WHO) Study on Global Ageing and Adult Health (SAGE) to estimate the associations of long-term PM2.5 mass and its chemical components exposure with blood pressure (BP) and hypertension incidence in Chinese adults ≥ 50 years during 2007-2018. Generalized linear mixed model and Cox proportional hazard model were applied to investigate the effects of PM2.5 mass and its chemical components on the incidence of hypertension and BP, respectively. RESULTS Each interquartile range (IQR = 16.80 μg/m3) increase in the one-year average of PM2.5 mass concentration was associated with a 17 % increase in the risk of hypertension (HR = 1.17, 95 % CI: 1.10, 1.24), and the population attributable fraction (PAF) was 23.44 % (95 % CI: 14.69 %, 31.55 %). Each IQR μg/m3 increase in PM2.5 exposure was also related to increases of systolic blood pressure (SBP) by 2.54 mmHg (95 % CI:1.99, 3.10), and of diastolic blood pressure (DBP) by 1.36 mmHg (95 % CI: 1.04, 1.68). Additionally, the chemical components of SO42-, NO3-, NH4+, OM, and BC were also positively associated with an increased risk of hypertension incidence and elevated blood pressure. CONCLUSIONS These results indicate that long-term exposure to PM2.5 mass and its specific components may be major drivers of escalation in hypertension diseases.
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Affiliation(s)
- Li Fu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; Tianhe District Center for Disease Control and Prevention, Guangzhou 510655, China
| | - Yanfei Guo
- Shanghai Municipal Centre for Disease Control and Prevention, Shanghai 200336, China; General Practice/Family Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Qijiong Zhu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Zhiqing Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Siwen Yu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Jiahong Xu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Weiling Tang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Cuiling Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Guanhao He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Jianxiong Hu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Xiaomei Dong
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Pan Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Ziqiang Lin
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
| | - Fan Wu
- Shanghai Medical College, Fudan University, Shanghai 200032, China.
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China.
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou 510632, China
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12
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Khan F, Chen Y, Hartwell HJ, Yan J, Lin YH, Freedman A, Zhang Z, Zhang Y, Lambe AT, Turpin BJ, Gold A, Ault AP, Szmigielski R, Fry RC, Surratt JD. Heterogeneous Oxidation Products of Fine Particulate Isoprene Epoxydiol-Derived Methyltetrol Sulfates Increase Oxidative Stress and Inflammatory Gene Responses in Human Lung Cells. Chem Res Toxicol 2023; 36:1814-1825. [PMID: 37906555 DOI: 10.1021/acs.chemrestox.3c00278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Hydroxyl radical (·OH)-initiated oxidation of isoprene, the most abundant nonmethane hydrocarbon in the atmosphere, is responsible for substantial amounts of secondary organic aerosol (SOA) within ambient fine particles. Fine particulate 2-methyltetrol sulfate diastereoisomers (2-MTSs) are abundant SOA products formed via acid-catalyzed multiphase chemistry of isoprene-derived epoxydiols with inorganic sulfate aerosols under low-nitric oxide conditions. We recently demonstrated that heterogeneous ·OH oxidation of particulate 2-MTSs leads to the particle-phase formation of multifunctional organosulfates (OSs). However, it remains uncertain if atmospheric chemical aging of particulate 2-MTSs induces toxic effects within human lung cells. We show that inhibitory concentration-50 (IC50) values decreased from exposure to fine particulate 2-MTSs that were heterogeneously aged for 0 to 22 days by ·OH, indicating increased particulate toxicity in BEAS-2B lung cells. Lung cells further exhibited concentration-dependent modulation of oxidative stress- and inflammatory-related gene expression. Principal component analysis was carried out on the chemical mixtures and revealed positive correlations between exposure to aged multifunctional OSs and altered expression of targeted genes. Exposure to particulate 2-MTSs alone was associated with an altered expression of antireactive oxygen species (ROS)-related genes (NQO-1, SOD-2, and CAT) indicative of a response to ROS in the cells. Increased aging of particulate 2-MTSs by ·OH exposure was associated with an increased expression of glutathione pathway-related genes (GCLM and GCLC) and an anti-inflammatory gene (IL-10).
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Affiliation(s)
- Faria Khan
- Institute of Physical Chemistry,Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Yuzhi Chen
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Hadley J Hartwell
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Jin Yan
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Ying-Hsuan Lin
- Department of Environmental Sciences, University of California, Riverside, California 92521, United States
| | - Anastasia Freedman
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Zhenfa Zhang
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Yue Zhang
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
- Department of Atmospheric Sciences, Texas A&M University, College Station Texas 77843, United States
| | - Andrew T Lambe
- Aerodyne Research Inc, Billerica, Massachusetts 01821, United States
| | - Barbara J Turpin
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Avram Gold
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Andrew P Ault
- Department of Chemistry, College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Rafal Szmigielski
- Institute of Physical Chemistry,Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland
| | - Rebecca C Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Jason D Surratt
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
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13
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Zhang B, Weuve J, Langa KM, D’Souza J, Szpiro A, Faul J, Mendes de Leon C, Gao J, Kaufman JD, Sheppard L, Lee J, Kobayashi LC, Hirth R, Adar SD. Comparison of Particulate Air Pollution From Different Emission Sources and Incident Dementia in the US. JAMA Intern Med 2023; 183:1080-1089. [PMID: 37578757 PMCID: PMC10425875 DOI: 10.1001/jamainternmed.2023.3300] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 05/29/2023] [Indexed: 08/15/2023]
Abstract
Importance Emerging evidence indicates that exposure to fine particulate matter (PM2.5) air pollution may increase dementia risk in older adults. Although this evidence suggests opportunities for intervention, little is known about the relative importance of PM2.5 from different emission sources. Objective To examine associations of long-term exposure of total and source-specific PM2.5 with incident dementia in older adults. Design, Setting, and Participants The Environmental Predictors of Cognitive Health and Aging study used biennial survey data from January 1, 1998, to December 31, 2016, for participants in the Health and Retirement Study, which is a nationally representative, population-based cohort study in the US. The present cohort study included all participants older than 50 years who were without dementia at baseline and had available exposure, outcome, and demographic data between 1998 and 2016 (N = 27 857). Analyses were performed from January 31 to May 1, 2022. Exposures The 10-year mean total PM2.5 and PM2.5 from 9 emission sources at participant residences for each month during follow-up using spatiotemporal and chemical transport models. Main Outcomes and Measures The main outcome was incident dementia as classified by a validated algorithm incorporating respondent-based cognitive testing and proxy respondent reports. Adjusted hazard ratios (HRs) were estimated for incident dementia per IQR of residential PM2.5 concentrations using time-varying, weighted Cox proportional hazards regression models with adjustment for the individual- and area-level risk factors. Results Among 27 857 participants (mean [SD] age, 61 [10] years; 15 747 [56.5%] female), 4105 (15%) developed dementia during a mean (SD) follow-up of 10.2 [5.6] years. Higher concentrations of total PM2.5 were associated with greater rates of incident dementia (HR, 1.08 per IQR; 95% CI, 1.01-1.17). In single pollutant models, PM2.5 from all sources, except dust, were associated with increased rates of dementia, with the strongest associations for agriculture, traffic, coal combustion, and wildfires. After control for PM2.5 from all other sources and copollutants, only PM2.5 from agriculture (HR, 1.13; 95% CI, 1.01-1.27) and wildfires (HR, 1.05; 95% CI, 1.02-1.08) were robustly associated with greater rates of dementia. Conclusion and Relevance In this cohort study, higher residential PM2.5 levels, especially from agriculture and wildfires, were associated with higher rates of incident dementia, providing further evidence supporting PM2.5 reduction as a population-based approach to promote healthy cognitive aging. These findings also indicate that intervening on key emission sources might have value, although more research is needed to confirm these findings.
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Affiliation(s)
- Boya Zhang
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Jennifer Weuve
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Kenneth M. Langa
- Institute for Social Research, University of Michigan, Ann Arbor
- University of Michigan Medical School, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan
| | - Jennifer D’Souza
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Adam Szpiro
- Department of Biostatistics, University of Washington, Seattle
| | - Jessica Faul
- Institute for Social Research, University of Michigan, Ann Arbor
| | | | - Jiaqi Gao
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Joel D. Kaufman
- Department of Epidemiology, University of Washington, Seattle
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle
- Department of Medicine, University of Washington, Seattle
| | - Lianne Sheppard
- Department of Biostatistics, University of Washington, Seattle
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle
| | - Jinkook Lee
- Center for Economic and Social Research, University of Southern California, Los Angeles
| | - Lindsay C. Kobayashi
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | - Richard Hirth
- Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor
- Department of Internal Medicine, University of Michigan, Ann Arbor
| | - Sara D. Adar
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
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14
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Liu L, Wang T, Xu H, Zhu Y, Guan X, He X, Fang J, Xie Y, Zhang Q, Song X, Zhao Q, Huang W. Exposure to ambient oxidant pollution associated with ceramide changes and cardiometabolic responses. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2023; 103:104276. [PMID: 37717721 DOI: 10.1016/j.etap.2023.104276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/23/2023] [Accepted: 09/14/2023] [Indexed: 09/19/2023]
Abstract
Evidence of impact of ambient oxidant pollution on cardiometabolic responses remains limited. We aimed to examine associations of oxidant pollutants with cardiometabolic responses, and effect modification by ceramides. During 2019-2020, 152 healthy adults were visited 4 times in Beijing, China, and indicators of ceramides, glucose homeostasis, and vascular function were measured. We found significant increases in ceramides of 13.9% (p = 0.020) to 110.1% (p = 0.005) associated with an interquartile increase in oxidant pollutants at prior 1-7 days. Exposure to oxidant pollutants was also related to elevations in insulin and reductions in adiponectin, and elevations in systolic and diastolic blood pressure. Further, stratified analyses revealed larger changes in oxidant pollutant related cardiometabolic responses among participants with higher ceramide levels compared to those with lower levels. Our findings suggested cardiometabolic effects associated with exposure to oxidant pollutants, which may be modified by ceramide levels.
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Affiliation(s)
- Lingyan Liu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, and Peking University Institute of Environmental Medicine, Beijing, China; Department of Geriatrics, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China; State Key Laboratory of Vascular Homeostasis and Remodeling,Peking University, Beijing, China
| | - Tong Wang
- Key Lab of Medical Protection for Electromagnetic Radiation, Ministry of Education of China, Institute of Toxicology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China; State Key Laboratory of Vascular Homeostasis and Remodeling,Peking University, Beijing, China
| | - Hongbing Xu
- 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 Vascular Homeostasis and Remodeling,Peking University, 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; State Key Laboratory of Vascular Homeostasis and Remodeling,Peking University, Beijing, China
| | - Xinpeng Guan
- 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 Vascular Homeostasis and Remodeling,Peking University, Beijing, China
| | - Xinghou He
- 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 Vascular Homeostasis and Remodeling,Peking University, 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; State Key Laboratory of Vascular Homeostasis and Remodeling,Peking University, 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; State Key Laboratory of Vascular Homeostasis and Remodeling,Peking University, Beijing, China
| | - Qiaochi Zhang
- 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 Vascular Homeostasis and Remodeling,Peking University, 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; State Key Laboratory of Vascular Homeostasis and Remodeling,Peking University, 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; State Key Laboratory of Vascular Homeostasis and Remodeling,Peking University, 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; State Key Laboratory of Vascular Homeostasis and Remodeling,Peking University, Beijing, China.
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15
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Tasmin S, Aschebrook-Kilfoy B, Hedeker D, Gopalakrishnan R, Stepniak E, Kibriya MG, Young MT, Kaufman JD, Ahsan H. Long-term exposure to ambient air pollution and measures of central hemodynamics and arterial stiffness among multiethnic Chicago residents. RESEARCH SQUARE 2023:rs.3.rs-3171526. [PMID: 37503099 PMCID: PMC10371125 DOI: 10.21203/rs.3.rs-3171526/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Objectives To examine whether air pollution exposure is associated with central hemodynamic and brachial artery stiffness parameters. Methods We assessed central hemodynamic parameters, brachial artery stiffness measures [including brachial artery distensibility (BAD), compliance (BAC), and resistance (BAR)] using waveform analysis of the arterial pressure signals obtained from a standard cuff sphygmomanometer (DynaPulse2000A, San Diego, CA). The long-term exposures to particles with an aerodynamic diameter < 2.5μm (PM2.5) and nitrogen dioxide (NO2) for the 3-year periods prior to enrollment were estimated at residential addresses using fine-scale intra-urban spatiotemporal models. Linear mixed models adjusted for potential confounders were used to examine associations between air pollution exposures and health outcomes. Results The cross-sectional study included 2,387 Chicago residents (76% African Americans) enrolled in the ChicagO Multiethnic Prevention And Surveillance Study (COMPASS) during 2013-2018 with validated address information, PM2.5 or NO2, key covariates, and hemodynamics measurements. We observed long-term concentrations of PM2.5 and NO2 to be positively associated with central systolic, pulse pressure and BAR, and negatively associated with BAD, and BAC after adjusting for relevant covariates. A 1-μg/m3 increment in preceding 3-year exposures to PM2.5 was associated with 1.8 mmHg higher central systolic (95% CI: 0.98, 4.16), 1.0 mmHg higher central pulse pressure (95% CI: 0.42, 2.87), a 0.56%mmHg lower BAD (95% CI: -0.81, -0.30), and a 0.009 mL/mmHg lower BAC (95% CI: -0.01, -0.01). Conclusion This population-based study provides evidence that long-term exposures to PM2.5 and NO2 is related to central BP and arterial stiffness parameters, especially among African Americans.
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Bravo MA, Fang F, Hancock DB, Johnson EO, Harris KM. Long-term air pollution exposure and markers of cardiometabolic health in the National Longitudinal Study of Adolescent to Adult Health (Add Health). ENVIRONMENT INTERNATIONAL 2023; 177:107987. [PMID: 37267730 PMCID: PMC10664021 DOI: 10.1016/j.envint.2023.107987] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/19/2023] [Accepted: 05/20/2023] [Indexed: 06/04/2023]
Abstract
BACKGROUND Air pollution exposure is associated with cardiovascular morbidity and mortality. Although exposure to air pollution early in life may represent a critical window for development of cardiovascular disease risk factors, few studies have examined associations of long-term air pollution exposure with markers of cardiovascular and metabolic health in young adults. OBJECTIVES By combining health data from the National Longitudinal Study of Adolescent to Adult Health (Add Health) with air pollution data from the Fused Air Quality Surface using Downscaling (FAQSD) archive, we: (1) calculated multi-year estimates of exposure to ozone (O3) and particulate matter with an aerodynamic diameter ≤ 2.5 µm (PM2.5) for Add Health participants; and (2) estimated associations between air pollution exposures and multiple markers of cardiometabolic health. METHODS Add Health is a nationally representative longitudinal cohort study of over 20,000 adolescents aged 12-19 in the United States (US) in 1994-95 (Wave I). Participants have been followed through adolescence and into adulthood with five in-home interviews. Estimated daily concentrations of O3 and PM2.5 at census tracts were obtained from the FAQSD archive and used to generate tract-level annual averages of O3 and PM2.5 concentrations. We estimated associations between average O3 and PM2.5 exposures from 2002 to 2007 and markers of cardiometabolic health measured at Wave IV (2008-09), including hypertension, hyperlipidemia, body mass index (BMI), diabetes, C-reactive protein, and metabolic syndrome. RESULTS The final sample size was 11,259 individual participants. The average age of participants at Wave IV was 28.4 years (range: 24-34 years). In models adjusting for age, race/ethnicity, and sex, long-term O3 exposure (2002-07) was associated with elevated odds of hypertension, with an odds ratio (OR) of 1.015 (95% confidence interval [CI]: 1.011, 1.029); obesity (1.022 [1.004, 1.040]); diabetes (1.032 [1.009,1.054]); and metabolic syndrome (1.028 [1.014, 1.041]); PM2.5 exposure (2002-07) was associated with elevated odds of hypertension (1.022 [1.001, 1.045]). CONCLUSION Findings suggest that long-term ambient air pollution exposure, particularly O3 exposure, is associated with cardiometabolic health in early adulthood.
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Affiliation(s)
- Mercedes A Bravo
- Global Health Institute, School of Medicine, Duke University, Durham, NC, USA.
| | - Fang Fang
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA
| | - Dana B Hancock
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA
| | - Eric O Johnson
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, NC, USA; Fellow Program, RTI International, Research Triangle Park, NC, USA
| | - Kathleen Mullan Harris
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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17
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Kresovich JK, Sandler DP, Taylor JA. Methylation-Based Biological Age and Hypertension Prevalence and Incidence. Hypertension 2023; 80:1213-1222. [PMID: 36974720 PMCID: PMC10192055 DOI: 10.1161/hypertensionaha.122.20796] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/08/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND Hypertension is common in older individuals and is a major risk factor for cardiovascular disease. Blood DNA methylation profiles have been used to derive metrics of biological age that capture age-related physiological change, disease risk, and mortality. The relationships between hypertension and DNA methylation-based biological age metrics have yet to be carefully described. METHODS Among 4419 women enrolled in the prospective Sister Study cohort, DNA methylation data generated from whole blood samples collected at baseline were used to calculate 3 biological age metrics (PhenoAgeAccel, GrimAgeAccel, DunedinPACE). Women were classified as hypertensive at baseline if they had high blood pressure (systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg) or reported current use of antihypertensive medication. New incident cases of hypertension during follow-up were identified via self-report on annual health questionnaires. RESULTS All 3 DNA methylation metrics of biological age were positively associated with prevalent hypertension at baseline (per 1-SD increase; PhenoAgeAccel, adjusted odds ratio, 1.16 [95% CI, 1.05-1.28]; GrimAgeAccel, adjusted odds ratio, 1.28 [95% CI, 1.14-1.45]; DunedinPACE, adjusted odds ratio, 1.16 [95% CI, 1.03-1.30]). Among 2610 women who were normotensive at baseline, women with higher biological age were more likely to be diagnosed with incident hypertension (per 1-SD increase; PhenoAgeAccel, adjusted hazard ratio, 1.09 [95% CI, 0.97-1.23]; GrimAgeAccel, adjusted hazard ratio, 1.16 [95% CI, 0.99-1.36]; DunedinPACE, adjusted hazard ratio, 1.16 [95% CI, 1.01-1.33]). CONCLUSIONS Methylation-based biological age metrics increase before a hypertension diagnosis and appear to remain elevated in the years after clinical diagnosis and treatment.
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Affiliation(s)
- Jacob K Kresovich
- Departments of Cancer Epidemiology & Breast Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL (J.K.K.)
| | - Dale P Sandler
- Epidemiology Branch (D.P.S., J.A.T.), National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC
| | - Jack A Taylor
- Epigenetic and Stem Cell Biology Laboratory (J.A.T.), National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC
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Parvez MA, Rana IA, Nawaz A, Arshad HSH. The impact of brick kilns on environment and society: a bibliometric and thematic review. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:48628-48653. [PMID: 36829095 DOI: 10.1007/s11356-023-26011-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 02/14/2023] [Indexed: 04/16/2023]
Abstract
Bricks have a long history of being utilized as a construction material across the globe. The production processes involved in the manufacture of bricks have a significant impact on the environment, human health, economy, and society. This study conducts a thematic and bibliometric analysis to provide an in-depth review of the effects of brick kilns on humans and the environment. The PRISMA framework was used to identify relevant articles from the Web of Science database, resulting in the selection and critical review of 348 articles. The bibliometric analysis included an evaluation of historical growth, keywords, citation and co-citation, organizations, and countries. The articles were published in 213 journals, written by 1396 authors from 670 institutions in 66 countries. Thematic analysis revealed that brick kilns have a negative impact on the environment, including soil damage, and cause health problems for kiln workers and animals. Modern slavery and societal issues also persist in developing countries. The current research is focused on finding alternative materials for brick manufacturing, improving industry energy efficiency, managing waste, and technological advancements, such as the implementation of the zigzag or Hoffmann kiln to reduce pollution. In developing countries, utilizing waste from other industries in brick production can effectively lower production costs. While developed countries have embraced advanced technologies for brick production, it is recommended that developing countries adopt awareness campaigns to encourage the upgrading of kilns to cleaner and more sustainable systems. Future research directions should aim to support brick kiln owners in adopting such systems.
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Affiliation(s)
- Muhammad Arham Parvez
- Department of Urban and Regional Planning, School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Sector, Islamabad, H-1244000, Pakistan
| | - Irfan Ahmad Rana
- Department of Urban and Regional Planning, School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Sector, Islamabad, H-1244000, Pakistan.
| | - Adnan Nawaz
- Department of Civil Engineering, COMSATS University, Wah Campus, Islamabad, 47040, Wah Cantt, Pakistan
| | - Hafiz Syed Hamid Arshad
- Department of City and Regional Planning, University of Management and Technology, Phase 1, Johar Town, Lahore, Pakistan
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19
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Niu Z, Duan Z, Yu H, Xue L, Liu F, Yu D, Zhang K, Han D, Wen W, Xiang H, Qin W. Association between long-term exposure to ambient particulate matter and blood pressure, hypertension: an updated systematic review and meta-analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2023; 33:268-283. [PMID: 34983264 DOI: 10.1080/09603123.2021.2022106] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 12/18/2021] [Indexed: 06/14/2023]
Abstract
Evidence of more recent studies should be updated to evaluate the effect of long-term exposure to particulate matter (PM) on blood pressure and hypertension. Studies of long-term effects of PM1, PM2.5 and PM10 on blood pressure (SBP, DBP, MAP), hypertension were searched in Pubmed, Web of Science and Embase before May, 2021. Meta-analysis of 41 studies showed that exposure to PM1, PM2.5 was associated with SBP (1.76 mmHg (95%CI:0.71, 2.80) and 0.63 mmHg (95%CI:0.40, 0.85), per 10 μg/m3 increase in PM), all three air pollutants (PM1, PM2.5, PM10) was associated with DBP (1.16 mmHg (95%CI:0.34, 1.99), 0.31 mmHg (95%CI:0.16, 0.47), 1.17 mmHg (95%CI:0.24, 2.09), respectively. As for hypertension, PM1, PM2.5 and PM10 were all significantly associated with higher risk of hypertension (OR=1.27 (95%CI:1.06, 1.52), 1.15 (95%CI:1.10, 1.20) and 1.11 (95%CI:1.07, 1.16). In conclusion, our study indicated a positive association between long-term exposure to particulate matter and increased blood pressure, hypertension.
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Affiliation(s)
- Zhiping Niu
- Department of Urology, Xijing Hospital, the Fourth Military Medical University, Xi'an, China
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Zhizhou Duan
- Preventive Health Service, Jiangxi Provincial People's Hospital, Affiliated People's Hospital of Nanchang University, Jiangxi, China
| | - Hongmei Yu
- Pukou District Center for Disease Control and Prevention, Nanjing, China
| | - Lina Xue
- Department of Medical Affairs, Tangdu Hospital, the Fourth Military Medical University, Xi'an, China
| | - Feifei Liu
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Dong Yu
- Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Keying Zhang
- Department of Urology, Xijing Hospital, the Fourth Military Medical University, Xi'an, China
| | - Donghui Han
- Department of Urology, Xijing Hospital, the Fourth Military Medical University, Xi'an, China
| | - Weihong Wen
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an, China
| | - Hao Xiang
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, China
| | - Weijun Qin
- Department of Urology, Xijing Hospital, the Fourth Military Medical University, Xi'an, China
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20
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Tandon S, Grande AJ, Karamanos A, Cruickshank JK, Roever L, Mudway IS, Kelly FJ, Ayis S, Harding S. Association of Ambient Air Pollution with Blood Pressure in Adolescence: A Systematic-review and Meta-analysis. Curr Probl Cardiol 2023; 48:101460. [PMID: 36265590 DOI: 10.1016/j.cpcardiol.2022.101460] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 10/13/2022] [Indexed: 01/04/2023]
Abstract
We systematically reviewed the association of ambient air pollution with blood pressure (BP) as a primary outcome in adolescents (10-19 years). Five databases (Ovid Medline, Ovid Embase, Web of Science, The Cochrane Library, and LILACS) were searched for relevant articles published up to August 2022. Meta-analyses were conducted using STATA v17 (Protocol - OSF Registries https://doi.org/10.17605/OSF.IO/96G5Q). Eight studies (5 cohort, 3 cross-sectional) with approximately 15,000 adolescents were included. Data from 6 studies were suitable for inclusion in the meta-analyses. In sub-group analyses, non-significant positive associations were observed for cohort studies assessing long-term exposure to PM10, PM2.5, and NO2 on systolic and diastolic BP. At age 12 years old (3702 adolescents), we found significant positive associations for long-term exposure to PM2.5(β=5.33 (1.56, 9.09) mmHg) and PM10 (β=2.47 (0.10, 4.85) mmHg) on diastolic BP. Significant positive associations were observed (3,592 adolescents) for long-term exposure to PM10(β=0.34 (0.19, 0.50) mmHg) and NO2 on diastolic BP (β=0.40 (0.09, 0.71) mmHg), and PM10 on systolic BP (β=0.48 (0.19, 0.77) mmHg). The overall quality of evidence analysed was graded as "low/very low." Insufficient data for short-term exposures to PM2.5, PM10, NO2, CO on BP led to their exclusion from the meta-analysis. Inconsistent associations were reported for gender-stratified results. The evidence, though of low-quality and limited, indicated that ambient air pollution was positively associated with adolescent BP. Future studies need improved measures of air pollutant exposures, consideration of gender and socio-economic circumstances on the observed pollution effects, as well as adjustment for other potential confounding factors.
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Affiliation(s)
- Saniya Tandon
- School of Life Course and Population Health, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Antonio Jose Grande
- School of Life Course and Population Health, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom; Curso de Medicina, Universidade Estadual do Mato Grosso do Sul, Campo Grande, Brazil
| | - Alexis Karamanos
- School of Life Course and Population Health, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - John Kennedy Cruickshank
- School of Life Course and Population Health, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Leonardo Roever
- Department of Clinical Research, Federal University of Uberlandia, Uberlândia, Brazil
| | - Ian Stanley Mudway
- MRC Centre for Environment and Health, Imperial College London, London, United Kingdom; NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, United Kingdom
| | - Frank James Kelly
- MRC Centre for Environment and Health, Imperial College London, London, United Kingdom; NIHR Health Protection Research Unit in Environmental Exposures and Health, Imperial College London, United Kingdom
| | - Salma Ayis
- School of Life Course and Population Health, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Seeromanie Harding
- School of Life Course and Population Health, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.
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21
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Fathieh S, Grieve SM, Negishi K, Figtree GA. Potential Biological Mediators of Myocardial and Vascular Complications of Air Pollution-A State-of-the-Art Review. Heart Lung Circ 2023; 32:26-42. [PMID: 36585310 DOI: 10.1016/j.hlc.2022.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 11/13/2022] [Accepted: 11/15/2022] [Indexed: 12/29/2022]
Abstract
Ambient air pollution is recognised globally as a significant contributor to the burden of cardiovascular diseases. The evidence from both human and animal studies supporting the cardiovascular impact of exposure to air pollution has grown substantially, implicating numerous pathophysiological pathways and related signalling mediators. In this review, we summarise the list of activated mediators for each pathway that lead to myocardial and vascular injury in response to air pollutants. We performed a systematic search of multiple databases, including articles between 1990 and Jan 2022, summarising the evidence for activated pathways in response to each significant air pollutant. Particulate matter <2.5 μm (PM2.5) was the most studied pollutant, followed by particulate matter between 2.5 μm-10 μm (PM10), nitrogen dioxide (NO2) and ozone (O3). Key pathogenic pathways that emerged included activation of systemic and local inflammation, oxidative stress, endothelial dysfunction, and autonomic dysfunction. We looked at how potential mediators of each of these pathways were linked to both cardiovascular disease and air pollution and included the overlapping mediators. This review illustrates the complex relationship between air pollution and cardiovascular diseases, and discusses challenges in moving beyond associations, towards understanding causal contributions of specific pathways and markers that may inform us regarding an individual's exposure, response, and likely risk.
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Affiliation(s)
- Sina Fathieh
- Kolling Institute of Medical Research, Sydney, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Stuart M Grieve
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia; Department of Radiology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Kazuaki Negishi
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tas, Australia; Department of Cardiology, Graduate School of Medicine, Gunma University, Maebashi, Gunma, Japan; Sydney Medical School Nepean, Faculty of Medicine and Health, Charles Perkins Centre Nepean, The University of Sydney, Sydney, NSW, Australia; Department of Cardiology, Nepean Hospital, Sydney, NSW, Australia
| | - Gemma A Figtree
- Kolling Institute of Medical Research, Sydney, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia; Department of Cardiology, Royal North Shore Hospital, Northern Sydney Local Health District, Sydney, NSW, Australia.
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22
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Deng Z, Tan C, Pan J, Xiang Y, Shi G, Huang Y, Xiong Y, Xu K. Mining biomarkers from routine laboratory tests in clinical records associated with air pollution health risk assessment. ENVIRONMENTAL RESEARCH 2023; 216:114639. [PMID: 36309217 DOI: 10.1016/j.envres.2022.114639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 10/12/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
Clinical laboratory in hospital can produce amounts of health data every day. The purpose of this study was to mine biomarkers from clinical laboratory big data associated with the air pollution health risk assessment using clinical records. 13, 045, 629 clinical records of all 27 routine laboratory tests in Changsha Central Hospital, including ALB, TBIL, ALT, DBIL, AST, TP, UREA, UA, CREA, GLU, CK, CKMB, LDL-C, TG, TC, HDL-C, CRP, WBC, Na, K, Ca, Cl, APTT, PT, FIB, TT, RBC and those daily air pollutants concentration monitoring data of Changsha, including PM2.5, PM10, SO2, NO2, CO, and O3 from 2014 to 2016, were retrieved. The moving average method was used to the biological reference interval was established. The tests results were converted into daily abnormal rate. After data cleaning, GAM statistical model construction and data analysis, a concentration-response relationship between air pollutants and daily abnormal rate of routine laboratory tests was observed. Our study found that PM2.5 had a stable association with TP (lag07), ALB (lag07), ALT (lag07), AST (lag07), TBIL (lag07), DBIL (lag07), UREA (lag07), CREA (lag07), UA (lag07), CK (lag 06), GLU (lag07), WBC (lag07), Cl (lag07) and Ca (lag07), (P < 0.05); O3 had a stable association with AST (lag01), CKMB (lag06), TG (lag07), TC (lag05), HDL-C (lag07), K (lag05) and RBC (lag07) (P < 0.05); CO had a stable association with UREA (lag07), Na (lag7) and PT (lag07) (P < 0.05); SO2 had a stable association with TP (lag07) and LDL-C (lag0) (P < 0.05); NO2 had a stable association with APTT (lag7) (P < 0.05). These results showed that different air pollutants affected different routine laboratory tests and presented different pedigrees. Therefore, biomarkers mined from routine laboratory tests may potentially be used to low-cost assess the health risks associated with air pollutants.
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Affiliation(s)
- Zhonghua Deng
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, 410013, PR China; Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, 410013, PR China; Department of Medical Laboratory, Hunan Provincial People's Hospital, Changsha, 410005, PR China; The First Affiliated Hospital of Hunan Normal University, Changsha, 410005, PR China
| | - Chaochao Tan
- Department of Medical Laboratory, Hunan Provincial People's Hospital, Changsha, 410005, PR China; The First Affiliated Hospital of Hunan Normal University, Changsha, 410005, PR China
| | - Jianhua Pan
- Department of Medical Laboratory, Changsha Central Hospital, Changsha, 410004, PR China
| | - Yangen Xiang
- Department of Medical Laboratory, Changsha Central Hospital, Changsha, 410004, PR China
| | - Guomin Shi
- Department of Medical Laboratory, Changsha Central Hospital, Changsha, 410004, PR China
| | - Yue Huang
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, 410013, PR China; Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, 410013, PR China
| | - Yican Xiong
- Department of Gastrointestinal Pediatric Surgery, Hunan Provincial People's Hospital, Changsha, 410005, PR China
| | - Keqian Xu
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, 410013, PR China; Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, 410013, PR China.
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23
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Wu M, Pang Y, Chen M, Li L, Yan L, Ning J, Liu Q, Zhang Y, Jiang T, Kang A, Huang X, Hu W, Hu H, Geng Z, He L, Wang H, Wang M, Yang P, Chen J, Wu R, Shi B, Niu Y, Zhang R. Moderate physical activity against effects of short-term PM 2.5 exposure on BP via myokines-induced inflammation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 854:158598. [PMID: 36108849 DOI: 10.1016/j.scitotenv.2022.158598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 08/24/2022] [Accepted: 09/04/2022] [Indexed: 06/15/2023]
Abstract
Exposure to PM2.5 increases blood pressure (BP) and cardiovascular morbidity and mortality. We conducted a randomized controlled panel study in Shijiazhuang, China among 55 healthy college students randomly assigned to either the control (CON) or SPORTS group with intervention of 2000 m jogging in 20 min for 3 times in 4 days, and 3-round health examinations from November 15, 2020 to December 6, 2020. We aimed to evaluate whether moderate physical activity (PA) protected BP health against PM2.5 exposure and explore potential mechanisms through myokines and inflammation. Individual PM2.5 exposure was calculated based on outdoor and indoor PM2.5 concentration monitoring data as well as time-activity diary of each subject. In the CON group, the exposure-response curve for SBP was linear with a threshold concentration of approximately 31 μg/m3, while an increment of SBP level was 4.38 mm Hg (95%CI: 0.17 mm Hg, 8.59 mm Hg) at lag03 for each 10-μg/m3 increase in PM2.5, using linear mixed-effect models. For inflammatory indicators, PM2.5 exposure was associated with significant increases in eosinophil counts and proportion in CON group, but decreases in MCP-1 and TNF-α in SPORTS group. Meanwhile, higher myokines including CLU and IL-6 were observed in SPORTS group compared to the CON group. Further mediation analyses revealed that eosinophil counts mediated the elevated BP in CON group, whereas MCP-1 and TNF-α were also crucial mediating cytokines for the SPORTS group, as well as CLU and IL-6 acted as mediators on BP and inflammation indicators in SPORTS group. This study suggests that moderate PA could counteract the elevated BP induced by PM2.5 exposure via myokines-suppressed inflammation pathways.
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Affiliation(s)
- Mengqi Wu
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Yaxian Pang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Meiyu Chen
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Lipeng Li
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China; Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Lina Yan
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Jie Ning
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Qingping Liu
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Yaling Zhang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Tao Jiang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Aijuan Kang
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Xiaoyan Huang
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Wentao Hu
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Huaifang Hu
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Zihan Geng
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Liyi He
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Hui Wang
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Mengruo Wang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Peihao Yang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Jiawei Chen
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Ruiting Wu
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Beibei Shi
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Yujie Niu
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang 050017, Hebei, China; Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang 050017, Hebei, China
| | - Rong Zhang
- Department of Toxicology, Hebei Medical University, Shijiazhuang 050017, Hebei, China; Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang 050017, Hebei, China.
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Kresovich JK, Xu Z, O'Brien KM, Parks CG, Weinberg CR, Sandler DP, Taylor JA. Peripheral Immune Cell Composition is Altered in Women Before and After a Hypertension Diagnosis. Hypertension 2023; 80:43-53. [PMID: 36259385 PMCID: PMC9742333 DOI: 10.1161/hypertensionaha.122.20001] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 09/29/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND The development and consequences of hypertension involve multiple biological systems that may include changes in immune profiles. Whether hypertension is related to peripheral immune cell composition has not been examined in large human cohorts. METHODS We estimated circulating proportions of 12 leukocyte subsets from the lymphoid and myeloid lineages by deconvolving cell-type-specific DNA methylation data from 4124 women. Hypertension status at baseline was defined by current use of antihypertensive medication and blood pressure measurements while new incident cases were identified during follow-up via annual health questionnaires. RESULTS Among hypertension-free women at baseline, higher B cell and lower naïve CD4+ helper T cell proportions were associated with subsequent increased hazard of hypertension incidence (B cells; adjusted HR: 1.17 [95% CI: 1.02-1.35]; P=0.03; naïve CD4+ T cell, adjusted HR: 0.88 [95% CI: 0.78-0.99]; P=0.04). Blood pressure measurements at baseline were similarly positively associated with B cells and inversely associated with naïve CD4+ helper T cells. Compared to normotensive women, women with hypertension had higher circulating proportions of neutrophils (adjusted odds ratio: 1.18 [95% CI: 1.07-1.31]; P=0.001) and lower proportions of CD4+ helper T cells (adjusted odds ratio: 0.90 [95% CI: 0.81-1.00] P=0.05), natural killers (adjusted odds ratio: 0.82 [95% CI: 0.74-0.91]; P<0.001), and B cells (adjusted odds ratio: 0.84 [95% CI: 0.74-0.96]; P=0.01). CONCLUSIONS These observations suggest that shifts in lymphocyte subsets occur before hypertension development, followed by later changes to neutrophils and additional lymphocytes.
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Affiliation(s)
- Jacob K Kresovich
- Departments of Cancer Epidemiology and Breast Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL (J.K.K.)
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC (J.K.K., Z.X., K.M.O., C.G.P., D.P.S., J.A.T.)
| | - Zongli Xu
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC (J.K.K., Z.X., K.M.O., C.G.P., D.P.S., J.A.T.)
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC (J.K.K., Z.X., K.M.O., C.G.P., D.P.S., J.A.T.)
| | - Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC (J.K.K., Z.X., K.M.O., C.G.P., D.P.S., J.A.T.)
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC (C.R.W.)
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC (J.K.K., Z.X., K.M.O., C.G.P., D.P.S., J.A.T.)
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC (J.K.K., Z.X., K.M.O., C.G.P., D.P.S., J.A.T.)
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC (J.A.T.)
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25
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Xu J, Niehoff NM, White AJ, Werder EJ, Sandler DP. Fossil-fuel and combustion-related air pollution and hypertension in the Sister Study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 315:120401. [PMID: 36228848 PMCID: PMC9746069 DOI: 10.1016/j.envpol.2022.120401] [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: 03/26/2022] [Revised: 10/04/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
Hypertension is a leading risk factor for disease burden, with more than 200 million disability-adjusted life-years attributed to high blood pressure in 2015. While outdoor air pollution is associated with cardiovascular disease, the joint effect of exposure to air pollution from combustion products on hypertension has rarely been studied. We conducted a cross-sectional analysis to explore the association between combustion-related air pollution and hypertension. Census-tract levels of ambient concentrations of nine fossil-fuel and combustion-related air toxics (biphenyl, naphthalene, polycyclic organic matter, diesel emissions, 1,3-butadiene, acetaldehyde, benzene, acrolein, and formaldehyde) from the 2005 National Air Toxics Assessment database and NO2 from 2005 monitoring data were linked to baseline residential addresses of 47,467 women in the Sister Study cohort. Hypertension at enrollment (2003-2009) was defined as high systolic (≥140 mm Hg) or diastolic (≥90 mm Hg) blood pressure or taking antihypertensive medication. We used log-binomial regression and quantile-based g-computation to estimate the individual and joint effects of fossil-fuel and combustion-related air pollution on hypertension. Comparing the highest to lowest quartiles, diesel emissions (prevalence ratio (PR) = 1.05, 95% confidence interval (CI) = 1.01,1.08), 1,3-butadiene (PR = 1.04, 95%CI = 1.00,1.07), acetaldehyde (PR = 1.08, 95%CI = 1.04,1.12), benzene (PR = 1.05, 95%CI = 1.02,1.08), formaldehyde (PR = 1.08, 95%CI = 1.04,1.11), and NO2 (PR = 1.08, 95%CI = 1.05,1.12) were individually associated with higher prevalence of hypertension. The PR for the joint effect of increasing all ambient air toxics and NO2 by one quartile was 1.02 (95%CI = 1.01,1.04). Associations varied by race/ethnicity, with stronger associations observed among women reporting races/ethnicities (Hispanic/Latina, non-Hispanic Black and other) other than non-Hispanic White. In conclusion, we found that air pollution from fossil fuel and combustion may be a risk factor for hypertension.
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Affiliation(s)
- Jing Xu
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA; Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Nicole M Niehoff
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Emily J Werder
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA.
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26
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Mei Y, Zhao J, Zhou Q, Zhao M, Xu J, Li Y, Li K, Xu Q. Residential greenness attenuated association of long-term air pollution exposure with elevated blood pressure: Findings from polluted areas in Northern China. Front Public Health 2022; 10:1019965. [PMID: 36249254 PMCID: PMC9557125 DOI: 10.3389/fpubh.2022.1019965] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 09/12/2022] [Indexed: 01/28/2023] Open
Abstract
Background Evidence on the hypertensive effects of long-term air pollutants exposure are mixed, and the joint hypertensive effects of air pollutants are also unclear. Sparse evidence exists regarding the modifying role of residential greenness in such effects. Methods A cross-sectional study was conducted in typically air-polluted areas in northern China. Particulate matter with diameter < 1 μm (PM1), particulate matter with diameter < 2.5 μm (PM2.5), particulate matter with diameter < 10 μm (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O3) were predicted by space-time extremely randomized trees model. We used the Normalized Difference Vegetation Index (NDVI) to reflect residential green space. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were examined. We also calculated the pulse pressure (PP) and mean arterial pressure (MAP). Generalized additive model and quantile g-computation were, respectively, conducted to investigate individual and joint effects of air pollutants on blood pressure. Furthermore, beneficial effect of NDVI and its modification effect were explored. Results Long-term air pollutants exposure was associated with elevated DBP and MAP. Specifically, we found a 10-μg/m3 increase in PM2.5, PM10, and SO2 were associated with 2.36% (95% CI: 0.97, 3.76), 1.51% (95% CI: 0.70, 2.34), and 3.54% (95% CI: 1.55, 5.56) increase in DBP; a 10-μg/m3 increase in PM2.5, PM10, and SO2 were associated with 1.84% (95% CI: 0.74, 2.96), 1.17% (95% CI: 0.52, 1.83), and 2.43% (95% CI: 0.71, 4.18) increase in MAP. Air pollutants mixture (one quantile increase) was positively associated with increased values of DBP (8.22%, 95% CI: 5.49, 11.02) and MAP (4.15%, 95% CI: 2.05, 6.30), respectively. These identified harmful effect of air pollutants mainly occurred among these lived with low NDVI values. And participants aged ≥50 years were more susceptible to the harmful effect of PM2.5 and PM10 compared to younger adults. Conclusions Our study indicated the harmful effect of long-term exposure to air pollutants and these effects may be modified by living within higher green space place. These evidence suggest increasing residential greenness and air pollution control may have simultaneous effect on decreasing the risk of hypertension.
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Affiliation(s)
- Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China,*Correspondence: Qun Xu
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27
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Zorena K, Jaskulak M, Michalska M, Mrugacz M, Vandenbulcke F. Air Pollution, Oxidative Stress, and the Risk of Development of Type 1 Diabetes. Antioxidants (Basel) 2022; 11:1908. [PMID: 36290631 PMCID: PMC9598917 DOI: 10.3390/antiox11101908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/19/2022] [Accepted: 09/21/2022] [Indexed: 11/25/2022] Open
Abstract
Despite multiple studies focusing on environmental factors conducive to the development of type 1 diabetes mellitus (T1DM), knowledge about the involvement of long-term exposure to air pollution seems insufficient. The main focus of epidemiological studies is placed on the relationship between exposure to various concentrations of particulate matter (PM): PM1, PM2.5, PM10, and sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (O3), versus the risk of T1DM development. Although the specific molecular mechanism(s) behind the link between increased air pollution exposure and a higher risk of diabetes and metabolic dysfunction is yet unknown, available data indicate air pollution-induced inflammation and oxidative stress as a significant pathway. The purpose of this paper is to assess recent research examining the association between inhalation exposure to PM and associated metals and the increasing rates of T1DM worldwide. The development of modern and more adequate methods for air quality monitoring is also introduced. A particular emphasis on microsensors, mobile and autonomous measuring platforms, satellites, and innovative approaches of IoT, 5G connections, and Block chain technologies are also presented. Reputable databases, including PubMed, Scopus, and Web of Science, were used to search for relevant literature. Eligibility criteria involved recent publication years, particularly publications within the last five years (except for papers presenting a certain novelty or mechanism for the first time). Population, toxicological and epidemiological studies that focused particularly on fine and ultra-fine PM and associated ambient metals, were preferred, as well as full-text publications.
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Affiliation(s)
- Katarzyna Zorena
- Department of Immunobiology and Environment Microbiology, Faculty of Health Sciences, Institute of Maritime and Tropical Medicine, Medical University of Gdańsk, Dębinki 7, 80-210 Gdańsk, Poland
| | - Marta Jaskulak
- Department of Immunobiology and Environment Microbiology, Faculty of Health Sciences, Institute of Maritime and Tropical Medicine, Medical University of Gdańsk, Dębinki 7, 80-210 Gdańsk, Poland
| | - Małgorzata Michalska
- Department of Immunobiology and Environment Microbiology, Faculty of Health Sciences, Institute of Maritime and Tropical Medicine, Medical University of Gdańsk, Dębinki 7, 80-210 Gdańsk, Poland
| | - Małgorzata Mrugacz
- Department of Ophthalmology and Eye Rehabilitation, Medical University of Bialystok, Kilinskiego 1, 15-089 Białystok, Poland
| | - Franck Vandenbulcke
- Laboratoire de Génie Civil et Géo-Environnement, Univ. Lille, IMT Lille Douai, University Artois, YncreaHauts-de-France, ULR4515-LGCgE, F-59000 Lille, France
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28
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Cui Y, Eccles KM, Kwok RK, Joubert BR, Messier KP, Balshaw DM. Integrating Multiscale Geospatial Environmental Data into Large Population Health Studies: Challenges and Opportunities. TOXICS 2022; 10:403. [PMID: 35878308 PMCID: PMC9316943 DOI: 10.3390/toxics10070403] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 07/09/2022] [Accepted: 07/14/2022] [Indexed: 12/04/2022]
Abstract
Quantifying the exposome is key to understanding how the environment impacts human health and disease. However, accurately, and cost-effectively quantifying exposure in large population health studies remains a major challenge. Geospatial technologies offer one mechanism to integrate high-dimensional environmental data into epidemiology studies, but can present several challenges. In June 2021, the National Institute of Environmental Health Sciences (NIEHS) held a workshop bringing together experts in exposure science, geospatial technologies, data science and population health to address the need for integrating multiscale geospatial environmental data into large population health studies. The primary objectives of the workshop were to highlight recent applications of geospatial technologies to examine the relationships between environmental exposures and health outcomes; identify research gaps and discuss future directions for exposure modeling, data integration and data analysis strategies; and facilitate communications and collaborations across geospatial and population health experts. This commentary provides a high-level overview of the scientific topics covered by the workshop and themes that emerged as areas for future work, including reducing measurement errors and uncertainty in exposure estimates, and improving data accessibility, data interoperability, and computational approaches for more effective multiscale and multi-source data integration, along with potential solutions.
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Affiliation(s)
- Yuxia Cui
- Division of Extramural Research and Training, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC 27709, USA; (Y.C.); (B.R.J.)
| | - Kristin M. Eccles
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC 27709, USA; (K.M.E.); (K.P.M.)
| | - Richard K. Kwok
- Office of the Director, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC 27709, USA;
| | - Bonnie R. Joubert
- Division of Extramural Research and Training, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC 27709, USA; (Y.C.); (B.R.J.)
| | - Kyle P. Messier
- Division of the National Toxicology Program, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC 27709, USA; (K.M.E.); (K.P.M.)
| | - David M. Balshaw
- Division of Extramural Research and Training, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Durham, NC 27709, USA; (Y.C.); (B.R.J.)
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29
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Hao R, Zhang M, Zhao L, Liu Y, Sun M, Dong J, Xu Y, Wu F, Wei J, Xin X, Luo Z, Lv S, Li X. Impact of Air Pollution on the Ocular Surface and Tear Cytokine Levels: A Multicenter Prospective Cohort Study. Front Med (Lausanne) 2022; 9:909330. [PMID: 35872759 PMCID: PMC9301315 DOI: 10.3389/fmed.2022.909330] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/14/2022] [Indexed: 11/30/2022] Open
Abstract
Purpose To assess air pollution-induced changes on ocular surface and tear cytokine levels. Methods As a prospective multicenter cohort study, 387 dry eye disease (DED) participants were recruited from five provinces in China and underwent measurements of ocular surface disease index (OSDI), Schirmer’s I test (ST), tear meniscus height (TMH), tear film break-up time (TBUT), corneal fluorescein staining (CFS), meibomian gland (MG) function, and tear cytokines. The associations between ocular surface parameters and exposure to particulate matter (PM), ozone (O3), nitrogen dioxide (NO2), and sulfur dioxide (SO2) for 1 day, 1 week, and 1 month before the examination were analyzed in single- and multi-pollutant models adjusted for confounding factors. Results In the multi-pollutant model, the OSDI score was positively correlated with PM with diameter ≤2.5 μm (PM2.5), O3, and SO2 exposure [PM2.5: β (1 week/month) = 0.229 (95% confidence interval (CI): 0.035–0.424)/0.211 (95% CI: 0.160–0.583); O3: β (1 day/week/month) = 0.403 (95% CI: 0.229–0.523)/0.471 (95% CI: 0.252–0.693)/0.468 (95% CI: 0.215–0.732); SO2: β (1 day/week) = 0.437 (95% CI: 0.193–0.680)/0.470 (95% CI: 0.040–0.901)]. Tear secretion was negatively correlated with O3 and NO2 exposures but positively correlated with PM2.5 levels. Air pollutants were negatively correlated with TBUT and positively related with CFS score. Besides SO2, all other pollutants were associated with aggravated MG dysfunction (MG expression, secretion, and loss) and tear cytokines increasement, such as PM2.5 and interleukin-8 (IL-8) [β (1 day) = 0.016 (95% CI: 0.003–0.029)], PM with diameter ≤10 μm (PM10) and IL-6 [β (1 day) = 0.019 (95% CI: 0.006–0.033)], NO2 and IL-6 [β (1 month) = 0.045 (95% CI: 0.018–0.072)], among others. The effects of air pollutants on DED symptoms/signs, MG functions and tear cytokines peaked within 1 week, 1 month, and 1 day, respectively. Conclusion Increased PM2.5, O3, and SO2 exposures caused ocular discomfort and damage with tear film instability. PM10 exposure led to tear film instability and ocular injury. PM, O3, and NO2 exposures aggravated MG dysfunction and upregulated tear cytokine levels. Therefore, each air pollutant may influence DED via different mechanisms within different time windows.
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Affiliation(s)
- Ran Hao
- Department of Ophthalmology, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Restoration of Damaged Ocular Nerve, Peking University Third Hospital, Beijing, China
| | - Mingzhou Zhang
- Department of Ophthalmology, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Restoration of Damaged Ocular Nerve, Peking University Third Hospital, Beijing, China
| | - Liming Zhao
- Department of Ophthalmology, Beijing Fengtai Hospital, Beijing, China
| | - Yang Liu
- Department of Ophthalmology, Daqing Oilfield General Hospital, Daqing, China
| | - Min Sun
- Department of Ophthalmology, Huabei Petroleum General Hospital, Cangzhou, China
| | - Jing Dong
- Department of Ophthalmology, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia, China
| | - Yanhui Xu
- Department of Ophthalmology, Hebei Provincial Eye Hospital, Shijiazhuang, China
| | - Feng Wu
- Department of Ophthalmology, Fuyang Hospital Affiliated to Anhui Medical University, Fuyang, China
| | - Jinwen Wei
- Department of Ophthalmology, Inner Mongolia Autonomous Region Xilingol League Hospital, Inner Mongolia, China
| | - Xiangyang Xin
- Department of Ophthalmology, Inner Mongolia Baogang Hospital, Inner Mongolia, China
| | - Zhongping Luo
- Department of Ophthalmology, Tongliao City Ke’erqin Zuoyi Zhongqi People’s Hospital, Inner Mongolia, China
| | - Shuxuan Lv
- Department of Ophthalmology, Yongqing People’s Hospital, Langfang, China
| | - Xuemin Li
- Department of Ophthalmology, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Restoration of Damaged Ocular Nerve, Peking University Third Hospital, Beijing, China
- *Correspondence: Xuemin Li, , orcid.org/0000-0001-7822-4694
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30
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Chen W, Han Y, Wang Y, Chen X, Qiu X, Li W, Xu Y, Zhu T. Glucose Metabolic Disorders Enhance Vascular Dysfunction Triggered by Particulate Air Pollution: a Panel Study. Hypertension 2022; 79:1079-1090. [PMID: 35193365 DOI: 10.1161/hypertensionaha.121.18889] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Vascular dysfunction is a biological pathway whereby particulate matter (PM) exerts deleterious cardiovascular effects. The effects of ambient PM on vascular function in prediabetic individuals are unclear. METHODS A panel study recruited 112 Beijing residents with and without prediabetes. Multiple vascular function indices were measured up to 7 times. The associations between vascular function indices and short-term exposure to ambient PM, including fine particulate matter (PM2.5), ultrafine particles, accumulation mode particles, and black carbon, and the modification of these associations by glucose metabolic status were examined using linear mixed-effects models. RESULTS Increases in brachial artery pulse pressure, central aortic pulse pressure, and ejection duration, and decreases in subendocardial viability ratio and reactive hyperemia index were significantly associated with at least one PM pollutant in all participants, indicating increased vascular dysfunction. For example, for an interquartile range increment in 5-day moving average ultrafine particles, brachial artery pulse pressure, and central aortic pulse pressure increased 5.4% (0.8%-10.4%) and 6.2% (1.2%-11.5%), respectively. Additionally, PM-associated changes in vascular function differed according to glucose metabolic status. Among participants with high fasting blood glucose levels (≥6.1 mmol/L), PM exposure was significantly associated with increased brachial artery systolic blood pressure, central aortic systolic blood pressure, brachial artery pulse pressure, central aortic pulse pressure, and augmentation pressure normalized to a heart rate of 75 bpm and decreased subendocardial viability ratio and reactive hyperemia index. Weaker or null associations were observed in the low-fasting blood glucose group. CONCLUSIONS Glucose metabolic disorders may exacerbate vascular dysfunction associated with short-term ambient PM exposure.
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Affiliation(s)
- Wu Chen
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China
| | - Yiqun Han
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China.,Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, United Kingdom (Y.H.)
| | - Yanwen Wang
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China.,National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China (Y.W.)
| | - Xi Chen
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China.,Hebei Technology Innovation Center of Human Settlement in Green Building (TCHS), Shenzhen Institute of Building Research Co, Ltd, Xiongan, China (X.C.)
| | - Xinghua Qiu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China
| | - Weiju Li
- Peking University Hospital (W.L.), Peking University, Beijing, China
| | - Yifan Xu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China
| | - Tong Zhu
- BIC-ESAT and SKL-ESPC, College of Environmental Sciences and Engineering, Center for Environment and Health (W.C., Y.H., Y.W., X.C., X.Q., Y.X., T.Z.), Peking University, Beijing, China
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31
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The effects of short-term and long-term air pollution exposure on meibomian gland dysfunction. Sci Rep 2022; 12:6710. [PMID: 35468976 PMCID: PMC9038913 DOI: 10.1038/s41598-022-10527-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 04/08/2022] [Indexed: 01/23/2023] Open
Abstract
We aim to assess the effects of different air pollutants on meibomian gland dysfunction (MGD). As a prospective multicenter study, 864 patients were recruited from four different regions (i.e., coal, oil, steel, and living). The oil region had a significantly lower temperature and higher O3 and SO2 concentrations than other regions. Notably, participants in oil region presented with more frequent and serious MGD signs and higher cytokine levels (median interleukin 6 [IL-6] in oil: 2.66, steel: 0.96, coal: 0.38, living: 0.56; IL-8 in oil: 117.52, steel: 46.94, coal: 26.89, living: 33; vascular endothelial growth factor [VEGF] in oil: 25.09, steel: 14.02, coal: 14.02, living: 28.47). The short-term fluctuations of cytokine levels were associated with the changes in gas levels (PM2.5 and IL-8: β = 0.016 [0.004–0.029]; O3 and IL-6: β = 0.576 [0.386–0.702]; O3 and IL-8: β = 0.479 [0.369–0.890]; SO2 and VEGF: β = 0.021 [0.001–0.047]). After long-term exposure, lid margin neovascularization (r = 0.402), meibomian gland (MG) expression (r = 0.377), MG secretion (r = 0.303), MG loss (r = 0.404), and tear meniscus height (r = − 0.345) were moderately correlated with air quality index (AQI). Individuals in oil region had more serious MGD signs and higher cytokine levels. MGD is susceptible to long-term exposure to high AQI.
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Zhao M, Xu Z, Guo Q, Gan Y, Wang Q, Liu JA. Association between long-term exposure to PM 2.5 and hypertension: A systematic review and meta-analysis of observational studies. ENVIRONMENTAL RESEARCH 2022; 204:112352. [PMID: 34762927 DOI: 10.1016/j.envres.2021.112352] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 11/04/2021] [Accepted: 11/05/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Numerous studies have examined the association between long-term exposure to particulate matter with an aerodynamic diameter of ≤2.5 μm (PM2.5) and hypertension. However, the results are inconsistent. OBJECTIVES Considering the limitations of previous meta-analyses and the publication of many new studies in recent years, we conducted this meta-analysis to assess the relationship between long-term PM2.5 exposure and the incidence and prevalence of hypertension in a healthy population. METHODS We searched PubMed, Web of Science, Embase, and Scopus for relevant studies published until April 2, 2021 and reviewed the reference lists of previous reviews. A total of 28 observational studies reporting RR or OR with 95% CI for the association between long-term PM2.5 exposure and the risk of hypertension were included. RESULTS After the sensitivity analysis, we excluded one study with a high degree of heterogeneity, resulting in 27 studies and 28 independent reports. Approximately 42 million participants were involved, and the cases of hypertension in cohort and cross-sectional studies were 508,749 and 1,793,003, respectively. The meta-analysis showed that each 10 μg/m3 increment in PM2.5 was significantly associated with the risks of hypertension incidence (RR = 1.21, 95% CI: 1.07, 1.35) and prevalence (OR = 1.06, 95% CI: 1.03, 1.09). Subgroup analyses showed that occupational exposure had a significant effect on the association of PM2.5 and hypertension incidence (p for interaction = 0.042) and that the PM2.5 concentration level and physical activity had a noticeable effect on the association of PM2.5 and hypertension prevalence (p for interaction = 0.005; p for interaction = 0.022). CONCLUSIONS A significantly positive correlation was observed between long-term PM2.5 exposure and risks of hypertension incidence and prevalence, and a high PM2.5 concentration resulted in an increased risk of hypertension.
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Affiliation(s)
- Mingqing Zhao
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ziyuan Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qianqian Guo
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yong Gan
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qi Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jun-An Liu
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Abstract
PURPOSE OF REVIEW With cardiovascular disease (CVD) being the top cause of deaths worldwide, it is important to ensure healthy cardiovascular aging through enhanced understanding and prevention of adverse health effects exerted by external factors. This review aims to provide an updated understanding of environmental influences on cardiovascular aging, by summarizing epidemiological and mechanistic evidence for the cardiovascular health impact of major environmental stressors, including air pollution, endocrine-disrupting chemicals (EDCs), metals, and climate change. RECENT FINDINGS Recent studies generally support positive associations of exposure to multiple chemical environmental stressors (air pollution, EDCs, toxic metals) and extreme temperatures with increased risks of cardiovascular mortality and morbidity in the population. Environmental stressors have also been associated with a number of cardiovascular aging-related subclinical changes including biomarkers in the population, which are supported by evidence from relevant experimental studies. The elderly and patients are the most vulnerable demographic groups to majority environmental stressors. Future studies should account for the totality of individuals' exposome in addition to single chemical pollutants or environmental factors. Specific factors most responsible for the observed health effects related to cardiovascular aging remain to be elucidated.
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Affiliation(s)
- Yang Lan
- 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 City, Shaanxi Province, 710061, People's Republic of China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China
- Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China
| | - 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 City, Shaanxi Province, 710061, People's Republic of China.
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China.
- Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China.
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Mirzababaei A, Daneshzad E, Moradi S, Abaj F, Mehranfar S, Asbaghi O, Clark CCT, Mirzaei K. The association between urinary metabolites of polycyclic aromatic hydrocarbons (PAHs) and cardiovascular diseases and blood pressure: a systematic review and meta-analysis of observational studies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:1712-1728. [PMID: 34699007 DOI: 10.1007/s11356-021-17091-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 10/13/2021] [Indexed: 06/13/2023]
Abstract
Although epidemiological studies have discerned the association between polycyclic aromatic hydrocarbons (PAHs) exposure and hypertension and/or cardiovascular disease in the general population, the possible mechanisms for this association are not well understood. We sought to examine the association between urinary metabolites of PAHs and cardiovascular diseases (CVDs) and blood pressure in adults, by conducting a meta-analysis of observational studies. We searched PubMed, Scopus, Embase, and Web of science, up to July 2021, for observational studies that investigated the association between urinary metabolites of PAHs and CVDs and blood pressure in adults. Nine prospective studies, including 27,280 participants, were included. Based on overall pooled results, there was a significant positive association between all types of urinary metabolites of PAH and blood pressure (OR: 1.32; 95%, CI: 1.19 to 1.48, p < 0.0001) (I2 = 62.4%, p < 0.0001). There was no significant association between any urinary metabolite of PAH and CHD (OR: 0.93; 95%, CI: 0.83 to 1.03, p = 0.174) (I2 = 0%, p = 0.653). Overall, there was a significant positive association between all urinary metabolites of PAH and CVD (OR: 1.23; 95%, CI: 1.16 to 1.30, p < 0.0001) (I2 = 59.7%, p < 0.0001). The results of the present meta-analysis suggest that different metabolites PAHs are associated with an increased risk of CVD and HTN. Further studies, including randomized clinical trials, are needed to confirm the veracity of our findings.
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Affiliation(s)
- Atieh Mirzababaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran
| | - Elnaz Daneshzad
- Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | | | - Faezeh Abaj
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran
| | - Sanaz Mehranfar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran
| | - Omid Asbaghi
- Student Research Committee, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Cain C T Clark
- Centre for Intelligent Healthcare, Coventry University, Coventry, CV1 5FB, UK
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O. Box: 14155-6117, Tehran, Iran.
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Song J, Gao Y, Hu S, Medda E, Tang G, Zhang D, Zhang W, Li X, Li J, Renzi M, Stazi MA, Zheng X. Association of long-term exposure to PM 2.5 with hypertension prevalence and blood pressure in China: a cross-sectional study. BMJ Open 2021; 11:e050159. [PMID: 34887274 PMCID: PMC8663071 DOI: 10.1136/bmjopen-2021-050159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE Evidence of the effects of long-term fine particulate matter (PM2.5) exposure on hypertension and blood pressure is limited for populations exposed to high levels of PM2.5. We aim to assess associations of long-term exposure to PM2.5 with hypertension prevalence and blood pressure, and further explore the subpopulation differences and effect modification by participant characteristics in these associations in China. METHODS We analysed cross-sectional data from 883 827 participants aged 35-75 years in the China Patient-Centred Evaluative Assessment of Cardiac Events Million Persons Project. Data from the monitoring station were used to estimate the 1-year average concentration of PM2.5. The associations of PM2.5 exposure with hypertension prevalence and blood pressure were investigated by generalised linear models, with PM2.5 included as either linear or spline functions. RESULTS The 1-year PM2.5 exposure of the study population ranged from 8.8 to 93.8 µg/m3 (mean 49.2 µg/m3). The adjusted OR of hypertension prevalence related to a 10 μg/m3 increase in 1-year PM2.5 exposure was 1.04 (95% CI, 1.02 to 1.05). Each 10 μg/m3 increment in PM2.5 exposure was associated with increases of 0.19 mm Hg (95% CI, 0.10 to 0.28) and 0.13 mm Hg (95% CI, 0.08 to 0.18) in systolic blood pressure and diastolic blood pressure, respectively. The concentration-response curves for hypertension prevalence and systolic blood pressure showed steeper slopes at higher PM2.5 levels; while the curve for diastolic blood pressure was U-shaped. The elderly, men, non-current smokers and obese participants were more susceptible to the exposure of PM2.5. CONCLUSIONS Long-term exposure to PM2.5 is associated with higher blood pressure and increased risk of hypertension prevalence. The effects of PM2.5 on hypertension prevalence become more pronounced at higher PM2.5 levels. These findings emphasise the need to reduce air pollution, especially in areas with severe air pollution.
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Affiliation(s)
- Jiali Song
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Yan Gao
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Shuang Hu
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Emanuela Medda
- Reference Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Guigang Tang
- China National Environmental Monitoring Centre, State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, Ministry of Ecology and Environment of the People's Republic of China, Beijing, China
| | - Di Zhang
- China National Environmental Monitoring Centre, State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, Ministry of Ecology and Environment of the People's Republic of China, Beijing, China
| | - Wenbo Zhang
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Xi Li
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jing Li
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Matteo Renzi
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Maria Antonietta Stazi
- Reference Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Xin Zheng
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
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Qin P, Luo X, Zeng Y, Zhang Y, Li Y, Wu Y, Han M, Qie R, Wu X, Liu D, Huang S, Zhao Y, Feng Y, Yang X, Hu F, Sun X, Hu D, Zhang M. Long-term association of ambient air pollution and hypertension in adults and in children: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 796:148620. [PMID: 34274662 DOI: 10.1016/j.scitotenv.2021.148620] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 06/16/2021] [Accepted: 06/19/2021] [Indexed: 06/13/2023]
Abstract
AIMS The association of long-term ambient air pollution and hypertension has been inconsistently reported. We performed an updated systematic review and meta-analysis to assess the association between long-term exposure to ambient air pollution and risk of hypertension in adults and in children. METHODS PubMed, EMBASE, and Web of Science were searched up to August 7, 2020 for published articles examining the association of long-term exposure to ambient air pollution, including particulate matter (PM; ultrafine particles, PM1, PM1-2.5, PM2.5, PM2.5-10 and PM10), nitrogen dioxide (NO2), nitrogen oxides (NOx), sulfur dioxide (SO2), ozone (O3), carbon monoxide (CO) and hypertension. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) for hypertension with each 10-μg/m3 increase in air pollutants were calculated by random-effects models. RESULTS We included 57 studies (53 of adults and 4 of children) in the meta-analysis. Risk of hypertension was significantly increased in adults with each 10-μg/m3 increase in exposure to PM2.5 (OR 1.10, 95% CI 1.07-1.14; I2 = 93.1%; n = 37), PM10 (1.04, 1.02-1.07; I2 = 44.8%; n = 22), and SO2 (1.21, 1.08-1.36; I2 = 96.6%; n = 3). Hypertension was not significantly associated with PM1 (n = 2), PM2.5-10 (n = 16), NO2 (n = 27), or NOx (n = 17). In children, the summary ORs (95% CIs) for each 10-μg/m3 increase in PM2.5, PM10, SO2 and O3 were 2.82 (0.51-15.68; I2 = 83.8%; n = 2), 1.15 (1.01-1.32; I2 = 0; n = 2), 8.57 (0.13-575.58; I2 = 94.2%; n = 2), and 1.26 (0.81-1.09, I2 = 91.6%; n = 2), respectively. CONCLUSIONS Long-term ambient air pollution is a potential risk factor for hypertension in adults. More studies are needed to explore the effects of long-term air pollution on hypertension in children.
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Affiliation(s)
- Pei Qin
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Xinping Luo
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Yunhong Zeng
- Department of Health Management, Shenzhen Hospital of University of Chinese Academy of Sciences, Shenzhen, China
| | - Yanyan Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Yang Li
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China; The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Yuying Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Minghui Han
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Ranran Qie
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Xiaoyan Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China; Department of Health Management, Shenzhen Hospital of University of Chinese Academy of Sciences, Shenzhen, China
| | - Dechen Liu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Shengbing Huang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Xingjin Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Xizhuo Sun
- The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Dongsheng Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China; The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Henan, China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, China; Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology, Shenzhen University School of Medicine, Shenzhen, Guangdong, China.
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Xu J, Lawrence KG, O'Brien KM, Jackson CL, Sandler DP. Association between neighbourhood deprivation and hypertension in a US-wide Cohort. J Epidemiol Community Health 2021; 76:268-273. [PMID: 34789553 PMCID: PMC8837699 DOI: 10.1136/jech-2021-216445] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 09/03/2021] [Indexed: 11/07/2022]
Abstract
Background Socioeconomic status (SES) at the individual level is associated with hypertension risk. Less is known about neighbourhood level SES or how neighbourhood and individual level SES may jointly affect hypertension risk. Methods The Area Deprivation Index (ADI) includes 17 census-based measures reflecting neighbourhood SES. The ADI was linked to enrolment addresses of 47 329 women in the Sister Study cohort and categorised as ≤10% (low deprivation), 11%–20%, 21%–35%, 36%–55% and >55% (high deprivation). Hypertension was defined as either high systolic (≥140 mm Hg) or diastolic (≥90 mm Hg) blood pressure or taking antihypertensive medication. We used log binomial regression to investigate the cross-sectional association between ADI and hypertension and evaluated interactions between ADI and race/ethnicity and between ADI and individual SES. Results The highest ADI level of >55% was associated with increased prevalence of hypertension, compared with the lowest level of ADI≤10%, in a model adjusted for age, race/ethnicity, educational attainment and annual household income (prevalence ratio=1.26, 95% CI 1.21 to 1.32). We observed interaction between race/ethnicity and ADI (interaction contrast ratio (ICR)=1.9; 95% CI 0.94 to 2.8 comparing non-Hispanic Black women with ADI >55% to non-Hispanic White women with ADI≤10%) and between household income and ADI (ICR 0.38; 95% CI 0.12 to 0.65 comparing participants with household income ≤US$49 999 and ADI>55% to those with household income >US$100 000 and ADI≤10%). Conclusions These findings suggest that neighbourhood deprivation measured by ADI may be a risk factor for hypertension and that ADI may act synergistically with race/ethnicity and individual household income to contribute to hypertension.
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Affiliation(s)
- Jing Xu
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA.,Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Kaitlyn G Lawrence
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
| | - Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA.,Intramural Program, National Institute of Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
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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.
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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.
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Bowe B, Xie Y, Gibson AK, Cai M, van Donkelaar A, Martin RV, Burnett R, Al-Aly Z. Ambient fine particulate matter air pollution and the risk of hospitalization among COVID-19 positive individuals: Cohort study. ENVIRONMENT INTERNATIONAL 2021; 154:106564. [PMID: 33964723 PMCID: PMC8040542 DOI: 10.1016/j.envint.2021.106564] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 03/23/2021] [Accepted: 04/06/2021] [Indexed: 05/20/2023]
Abstract
BACKGROUND Ecologic analyses suggest that living in areas with higher levels of ambient fine particulate matter air pollution (PM2.5) is associated with higher risk of adverse COVID-19 outcomes. Studies accounting for individual-level health characteristics are lacking. METHODS We leveraged the breadth and depth of the US Department of Veterans Affairs national healthcare databases and built a national cohort of 169,102 COVID-19 positive United States Veterans, enrolled between March 2, 2020 and January 31, 2021, and followed them through February 15, 2021. Annual average 2018 PM2.5 exposure, at an approximately 1 km2 resolution, was linked with residential street address at the year prior to COVID-19 positive test. COVID-19 hospitalization was defined as first hospital admission between 7 days prior to, and 15 days after, the first COVID-19 positive date. Adjusted Poisson regression assessed the association of PM2.5 with risk of hospitalization. RESULTS There were 25,422 (15.0%) hospitalizations; 5,448 (11.9%), 5,056 (13.0%), 7,159 (16.1%), and 7,759 (19.4%) were in the lowest to highest PM2.5 quartile, respectively. In models adjusted for State, demographic and behavioral factors, contextual characteristics, and characteristics of the pandemic a one interquartile range increase in PM2.5 (1.9 µg/m3) was associated with a 10% (95% CI: 8%-12%) increase in risk of hospitalization. The association of PM2.5 and risk of hospitalization among COVID-19 individuals was present in each wave of the pandemic. Models of non-linear exposure-response suggested increased risk at PM2.5 concentrations below the national standard 12 µg/m3. Formal effect modification analyses suggested higher risk of hospitalization associated with PM2.5 in Black people compared to White people (p = 0.045), and in those living in socioeconomically disadvantaged neighborhoods (p < 0.001). CONCLUSIONS Exposure to higher levels of PM2.5 was associated with increased risk of hospitalization among COVID-19 infected individuals. The risk was evident at PM2.5 levels below the regulatory standards. The analysis identified those of Black race and those living in disadvantaged neighborhoods as population groups that may be more susceptible to the untoward effect of PM2.5 on risk of hospitalization in the setting of COVID-19.
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Affiliation(s)
- Benjamin Bowe
- Clinical Epidemiology Center, Research and Development Service, VA Saint Louis Health Care System, 501 N Grand Blvd, Suite 300, Saint Louis, MO 63103, United States; Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, 3545 Lafayette Ave, Saint Louis, MO 63104, United States; Veterans Research & Education Foundation of Saint Louis, 501 N Grand Blvd, Suite 300, Saint Louis, MO 63103, United States
| | - Yan Xie
- Clinical Epidemiology Center, Research and Development Service, VA Saint Louis Health Care System, 501 N Grand Blvd, Suite 300, Saint Louis, MO 63103, United States; Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, 3545 Lafayette Ave, Saint Louis, MO 63104, United States; Veterans Research & Education Foundation of Saint Louis, 501 N Grand Blvd, Suite 300, Saint Louis, MO 63103, United States
| | - Andrew K Gibson
- Clinical Epidemiology Center, Research and Development Service, VA Saint Louis Health Care System, 501 N Grand Blvd, Suite 300, Saint Louis, MO 63103, United States; Veterans Research & Education Foundation of Saint Louis, 501 N Grand Blvd, Suite 300, Saint Louis, MO 63103, United States
| | - Miao Cai
- Clinical Epidemiology Center, Research and Development Service, VA Saint Louis Health Care System, 501 N Grand Blvd, Suite 300, Saint Louis, MO 63103, United States; Veterans Research & Education Foundation of Saint Louis, 501 N Grand Blvd, Suite 300, Saint Louis, MO 63103, United States
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Rd, Halifax, Nova Scotia B3H 4J5, Canada; Department of Energy, Environmental & Chemical Engineering, Washington University in Saint Louis, 1 Brookings Drive, CB1100, Saint Louis, MO 63130, United States
| | - Randall V Martin
- Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Rd, Halifax, Nova Scotia B3H 4J5, Canada; Department of Energy, Environmental & Chemical Engineering, Washington University in Saint Louis, 1 Brookings Drive, CB1100, Saint Louis, MO 63130, United States
| | - Richard Burnett
- Department of Health Metrics Sciences, Institute for Health Metrics and Evaluation, University of Washington, 3980 15th Ave. NE, Seattle, WA 98195, United States
| | - Ziyad Al-Aly
- Clinical Epidemiology Center, Research and Development Service, VA Saint Louis Health Care System, 501 N Grand Blvd, Suite 300, Saint Louis, MO 63103, United States; Veterans Research & Education Foundation of Saint Louis, 501 N Grand Blvd, Suite 300, Saint Louis, MO 63103, United States; Department of Medicine, Washington University in Saint Louis, 4921 Parkview Pl, Saint Louis, MO 63110, United States; Nephrology Section, Medicine Service, VA Saint Louis Health Care System, 915 N Grand Blvd, Saint Louis, MO 63106, United States; Institute for Public Health, Washington University in Saint Louis, 600 S Taylor Ave, Saint Louis, MO 63110, United States.
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Zhu K, Browne RW, Blair RH, Bonner MR, Tian M, Niu Z, Deng F, Farhat Z, Mu L. Changes in arachidonic acid (AA)- and linoleic acid (LA)-derived hydroxy metabolites and their interplay with inflammatory biomarkers in response to drastic changes in air pollution exposure. ENVIRONMENTAL RESEARCH 2021; 200:111401. [PMID: 34089746 DOI: 10.1016/j.envres.2021.111401] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 04/20/2021] [Accepted: 05/23/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Untargeted metabolomics analyses have indicated that fatty acids and their hydroxy derivatives may be important metabolites in the mechanism through which air pollution potentiates diseases. This study aimed to use targeted analysis to investigate how metabolites in arachidonic acid (AA) and linoleic acid (LA) pathways respond to short-term changes in air pollution exposure. We further explored how they might interact with markers of antioxidant enzymes and systemic inflammation. METHODS This study included a subset of participants (n = 53) from the Beijing Olympics Air Pollution (BoaP) study in which blood samples were collected before, during, and after the Beijing Olympics. Hydroxy fatty acids were measured by liquid chromatography/mass spectrometry (LC/MS). Native total fatty acids were measured as fatty acid methyl esters (FAMEs) using gas chromatography. A set of chemokines were measured by ELISA-based chemiluminescent assay and antioxidant enzyme activities were analyzed by kinetic enzyme assays. Changes in levels of metabolites over the three time points were examined using linear mixed-effects models, adjusting for age, sex, body mass index (BMI), and smoking status. Pearson correlation and repeated measures correlation coefficients were calculated to explore the relationships of metabolites with levels of serum chemokines and antioxidant enzymes. RESULTS 12-hydroxyeicosatetraenoic acid (12-HETE) decreased by 50.5% (95% CI: -66.5, -34.5; p < 0.0001) when air pollution dropped during the Olympics and increased by 119.4% (95% CI: 36.4, 202.3; p < 0.0001) when air pollution returned to high levels after the Olympics. In contrast, 13-hydroxyoctadecadienoic acid (13-HODE) elevated significantly (p = 0.023) during the Olympics and decreased nonsignificantly after the games (p = 0.104). Interleukin 8 (IL-8) correlated with 12-HETE (r = 0.399, BH-adjusted p = 0.004) and 13-HODE (r = 0.342, BH-adjusted p = 0.014) over the three points; it presented a positive and moderate correlation with 12-HETE during the Olympics (r = 0.583, BH-adjusted p = 0.002) and with 13-HODE before the Olympics (r = 0.543, BH-adjusted p = 0.008). CONCLUSION AA- and LA-derived hydroxy metabolites are associated with air pollution and might interact with systemic inflammation in response to air pollution exposure.
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Affiliation(s)
- Kexin Zhu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Richard W Browne
- Department of Biotechnical and Clinical Laboratory Sciences, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Rachael Hageman Blair
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Matthew R Bonner
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Mingmei Tian
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Zhongzheng Niu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Furong Deng
- Department of Occupational and Environmental Health, School of Public Health, Peking University, Beijing, China
| | - Zeinab Farhat
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Lina Mu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
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Hart JE, Hohensee C, Laden F, Holland I, Whitsel EA, Wellenius GA, Winkelmayer WC, Sarto GE, Warsinger Martin L, Manson JE, Greenland P, Kaufman J, Albert C, Perez MV. Long-Term Exposures to Air Pollution and the Risk of Atrial Fibrillation in the Women's Health Initiative Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:97007. [PMID: 34523977 PMCID: PMC8442602 DOI: 10.1289/ehp7683] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/20/2021] [Accepted: 08/04/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Atrial fibrillation (AF) is associated with substantial morbidity and mortality. Short-term exposures to air pollution have been associated with AF triggering; less is known regarding associations between long-term air pollution exposures and AF incidence. OBJECTIVES Our objective was to assess the association between long-term exposures to air pollution and distance to road on incidence of AF in a cohort of U.S. women. METHODS We assessed the association of high resolution spatiotemporal model predictions of long-term exposures to particulate matter (PM 10 and PM 2.5 ), sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), and distance to major roads with incidence of AF diagnosis, identified through Medicare linkage, among 83,117 women in the prospective Women's Health Initiative cohort, followed from enrollment in Medicare through December 2012, incidence of AF, or death. Using time-varying Cox proportional hazards models adjusted for age, race/ethnicity, study component, body mass index, physical activity, menopausal hormone therapy, smoking, diet quality, alcohol consumption, educational attainment, and neighborhood socioeconomic status, we estimated the relative risk of incident AF in association with each pollutant. RESULTS A total of 16,348 incident AF cases were observed over 660,236 person-years of follow-up. Most exposure-response associations were nonlinear. NO 2 was associated with risk of AF in multivariable adjusted models [Hazard Ratio ( HR ) = 1.18 ; 95% confidence interval (CI): 1.13, 1.24, comparing the top to bottom quartile, p -for-trend = < 0.0001 ]. Women living closer to roadways were at higher risk of AF (e.g., HR = 1.07 ; 95% CI: 1.01, 1.13 for living within 50 m of A3 roads, compared with ≥ 1,000 m , p -for-trend = 0.02 ), but we did not observe adverse associations with exposures to PM 10 , PM 2.5 , or SO 2 . There were adverse associations with PM 10 (top quartile HR = 1.10 ; 95% CI: 1.05, 1.16, p -for-trend = < 0.0001 ) and PM 2.5 (top quartile HR = 1.09 ; 95% CI: 1.03, 1.14, p -for-trend = 0.002 ) in sensitivity models adjusting for census region. DISCUSSION In this study of postmenopausal women, NO 2 and distance to road were consistently associated with higher risk of AF. https://doi.org/10.1289/EHP7683.
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Affiliation(s)
- Jaime E. Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Exposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA
| | - Chancellor Hohensee
- Women’s Health Initiative Clinical Coordinating Center, Division of Public Health, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Exposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA
| | - Isabel Holland
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Gregory A. Wellenius
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Wolfgang C. Winkelmayer
- Selzman Institute for Kidney Health, Section of Nephrology, Baylor College of Medicine, Houston, Texas, USA
| | - Gloria E. Sarto
- Department of Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Lisa Warsinger Martin
- Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA
| | - JoAnn E. Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Philip Greenland
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Joel Kaufman
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Christine Albert
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Cardiology, Cedars Sinai Medical Center, Los Angeles, California, USA
| | - Marco V. Perez
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA
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Liu M, Guo W, Zhao L, Yang H, Fang Q, Li M, Shu J, Chen S, Lai X, Yang L, Zhang X. Association of personal fine particulate matter and its respiratory tract depositions with blood pressure in children: From two panel studies. JOURNAL OF HAZARDOUS MATERIALS 2021; 416:126120. [PMID: 34492915 DOI: 10.1016/j.jhazmat.2021.126120] [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: 01/22/2021] [Revised: 04/27/2021] [Accepted: 05/10/2021] [Indexed: 06/13/2023]
Abstract
Evidence is limited regarding the acute effects of personal fine particulate matter (PM2.5) exposure and its respiratory tract depositions on the alteration of children's blood pressure (BP). We conducted 2 longitudinal panel studies in 2 cities to evaluate the relations of 72-h real-time personal PM2.5 exposure and its depositions in 3 respiratory tract regions over different lag times with BP and the risk of prehypertension and hypertension among 286 children aged 4-12 years. We found the strongest effects of PM2.5 exposure on increased BP and risk of prehypertension and hypertension at lag 2 day, in dose-response manner, even when PM2.5 below Chinese Ambient Air Quality Standard (CAAQS) Grade II. Moreover, compared to PM2.5, tracheobronchial and alveolar depositions displayed more evident effects on BP outcomes. Interestingly, all above relationships were stronger among children in Guangzhou with lower PM2.5 and its deposited doses than those in Weinan. Additionally, boys and those with daily extra-school activity ≥ 1 h were more susceptible to PM2.5-induced BP effects with significant interactions. Our results highlighted that short-term PM2.5 exposure and its respiratory tract depositions were dose-responsive related to higher BP, prevalence of prehypertension and hypertension among children, even when PM2.5 below CAAQS II.
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Affiliation(s)
- Miao Liu
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenting Guo
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lei Zhao
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huihua Yang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qin Fang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Medical Affairs, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, Guangdong, China
| | - Meng Li
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jingyi Shu
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shuang Chen
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuefeng Lai
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Liangle Yang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Yuan Q, Zhu H, Liu H, Wang M, Chu H, Zhang Z. METTL3 regulates PM 2.5-induced cell injury by targeting OSGIN1 in human airway epithelial cells. JOURNAL OF HAZARDOUS MATERIALS 2021; 415:125573. [PMID: 33730643 DOI: 10.1016/j.jhazmat.2021.125573] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 01/30/2021] [Accepted: 03/01/2021] [Indexed: 06/12/2023]
Abstract
N6-methyladenosine (m6A) is implicated in alteration of cellular biological processes caused by exogenous environmental factors. However, little is known about the role of m6A in airborne fine particulate matter (PM2.5)-induced adverse effects. Thus, we investigated the role of m6A modification in PM2.5-induced airway epithelial cell injury. We observed a methyltransferase-like 3 (METTL3)-dependent induction of m6A modification after PM2.5 treatment in HBE and A549 cells. METTL3 knockdown attenuated PM2.5-induced apoptosis and arrest of cell cycle. mRNA sequencing and RNA N6-methyladenosine binding protein immunoprecipitation (Me-RIP) assay identified m6A-modified oxidative stress induced growth inhibitor 1 (OSGIN1) as the target gene of METTL3. Knockdown of METTL3 resulted a shorter mRNA half-life of OSGIN1 by catalyzing its m6A modification. Knockdown of METTL3 or OSGIN1 attenuated cell apoptosis, arrest of cell cycle and autophagy induced by PM2.5. In conclusion, METTL3 may mediate PM2.5-induced cell injury by targeting OSGIN1 in human airway epithelial cells. Our work uncovered a critical role of METTL3 in PM2.5-induced airway epithelial cell injury and provided insight into the vital role of m6A modification in PM2.5-induced human hazards.
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Affiliation(s)
- Qi Yuan
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China
| | - Huanhuan Zhu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hanting Liu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meilin Wang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Haiyan Chu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
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Farzan SF, Habre R, Danza P, Lurmann F, Gauderman WJ, Avol E, Bastain T, Hodis HN, Breton C. Childhood traffic-related air pollution and adverse changes in subclinical atherosclerosis measures from childhood to adulthood. Environ Health 2021; 20:44. [PMID: 33853624 PMCID: PMC8048028 DOI: 10.1186/s12940-021-00726-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 04/08/2021] [Indexed: 05/04/2023]
Abstract
BACKGROUND Chronic exposure to air pollutants is associated with increased risk of cardiovascular disease (CVD) among adults. However, little is known about how air pollution may affect the development of subclinical atherosclerosis in younger populations. Carotid artery intima-media thickness (CIMT) is a measure of subclinical atherosclerosis that provides insight into early CVD pathogenesis. METHODS In a pilot study of 70 participants from the Southern California Children's Health Study, we investigated CIMT progression from childhood to adulthood. Using carotid artery ultrasound images obtained at age 10 and follow-up images at age 21-22, we examined associations between childhood ambient and traffic-related air pollutants with changes in CIMT over time and attained adult CIMT using linear mixed-effects models adjusted for potential confounders. Average residential childhood exposures (i.e., birth to time of measurement at 10-11 years) were assigned for regional, ambient pollutants (ozone, nitrogen dioxide, particulate matter, interpolated from regulatory air monitoring data) and traffic-related nitrogen oxides (NOx) by road class (modeled using the CALINE4 line source dispersion model). Traffic density was calculated within a 300-m residential buffer. RESULTS For each 1 standard deviation (SD) increase in childhood traffic-related total NOx exposure, we observed greater yearly rate of change in CIMT from childhood to adulthood (β: 2.17 μm/yr, 95% CI: 0.78-3.56). Increases in annual rate of CIMT change from childhood to adulthood also were observed with freeway NOx exposure (β: 2.24 μm/yr, 95% CI: 0.84-3.63) and traffic density (β: 2.11 μm/yr, 95% CI: 0.79-3.43). Traffic exposures were also related to increases in attained CIMT in early adulthood. No associations of CIMT change or attained level were observed with ambient pollutants. CONCLUSIONS Overall, we observed adverse changes in CIMT over time in relation to childhood traffic-related NOx exposure and traffic density in our study population. While these results must be cautiously interpreted given the limited sample size, the observed associations of traffic measures with CIMT suggest a need for future studies to more fully explore this relationship.
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Affiliation(s)
- Shohreh F. Farzan
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
| | - Rima Habre
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
| | - Phoebe Danza
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
| | | | - W. James Gauderman
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
| | - Edward Avol
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
| | - Theresa Bastain
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
| | - Howard N. Hodis
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
- Department of Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA 90089 USA
- Atherosclerosis Research Unit, University of Southern California, Los Angeles, CA 90089 USA
| | - Carrie Breton
- Department of Preventive Medicine, Keck School of Medicine of University of Southern California, 2001 N. Soto Street, Los Angeles, CA 90089 USA
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Shahriyari HA, Nikmanesh Y, Jalali S, Tahery N, Zhiani Fard A, Hatamzadeh N, Zarea K, Cheraghi M, Mohammadi MJ. Air pollution and human health risks: mechanisms and clinical manifestations of cardiovascular and respiratory diseases. TOXIN REV 2021. [DOI: 10.1080/15569543.2021.1887261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
| | - Yousef Nikmanesh
- Gastroenterohepatology Research Center, Shiraz University of Medical Science, Shiraz, Iran
| | - Saeid Jalali
- Department of Environmental Health Engineering, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Noorollah Tahery
- Department of Nursing, School of Nursing, Abadan Faculty of Medical Sciences, Abadan, Iran
| | - Akram Zhiani Fard
- Instructor Medical Education, Department of Public Health, Esfarayen Faculty of Medical Sciences, Esfarayen, Iran
| | - Nasser Hatamzadeh
- Department of Health Promotion and Education, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Kourosh Zarea
- Department of Nursing, Nursing Care Research Center in Chronic Diseases, School of Nursing and Midwifery, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Maria Cheraghi
- Cancer Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mohammad Javad Mohammadi
- Department of Environmental Health Engineering, School of Public Health and Environmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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Du X, Zhang Y, Liu C, Fang J, Zhao F, Chen C, Du P, Wang Q, Wang J, Shi W, van Donkelaar A, Martin RV, Bachwenkizi J, Chen R, Li T, Kan H, Shi X. Fine particulate matter constituents and sub-clinical outcomes of cardiovascular diseases: A multi-center study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 759:143555. [PMID: 33189387 DOI: 10.1016/j.scitotenv.2020.143555] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 10/20/2020] [Accepted: 10/30/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Limited evidence is available on the associations of long-term exposure to various fine particulate matter (PM2.5) constituents with sub-clinical outcomes of cardiovascular disease (CVD) in China. OBJECTIVES We aimed to explore the associations of PM2.5 and its constituents with blood pressure (BP), fasting glucose, and cardiac electrophysiological (ECG) properties based on a national survey of 5852 Chinese adults, who participated in the Sub-Clinical Outcome of Polluted Air study, from July 2017 to March 2019. METHODS Annual residential exposure to PM2.5 and its constituents of each subject was predicted by a satellite-based mode. We assessed the associations between five main constituents [organic matter (OM), black carbon (BC), sulfate (SO42-), nitrate (NO3-), ammonium (NH4+)] of PM2.5 and systolic BP (SBP), diastolic BP (DBP), fasting glucose, and ECG measurements (PR, QRS, QT, and QTc interval) using multivariable linear regression models. RESULTS Long-term PM2.5 exposure was significantly associated with increased levels of fasting glucose, DBP, and ECG measurements. An IQR increase in OM (8.2 μg/m3) showed considerably stronger associations with an elevated fasting glucose of 0.39 mmol/L (95%CI confidence interval: 0.28, 0.49) compared with other PM2.5 constituents. Meanwhile, an IQR increase in NO3-, NH4+ and OM had stronger associations with DBP and ECG parameters compared with BC and SO42-. CONCLUSIONS This nationwide multi-center study in China indicated that some constituents (i.e., OM, NO3-, and NH4+) might be mainly responsible for the association of PM2.5 with sub-clinical outcomes of CVD including BP, fasting glucose, and ECG measurements.
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Affiliation(s)
- Xihao Du
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Peng Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Qiong Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jiaonan Wang
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Wanying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Aaron van Donkelaar
- Department of Physics and Atmospheric Science, Dalhousie University, B3H 4R2 Halifax, Nova Scotia, Canada
| | - Randall V Martin
- Department of Physics and Atmospheric Science, Dalhousie University, B3H 4R2 Halifax, Nova Scotia, Canada
| | - Jovine Bachwenkizi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai, China.
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Khajavi A, Tamehri Zadeh SS, Azizi F, Brook RD, Abdi H, Zayeri F, Hadaegh F. Impact of short- and long-term exposure to air pollution on blood pressure: A two-decade population-based study in Tehran. Int J Hyg Environ Health 2021; 234:113719. [PMID: 33677362 DOI: 10.1016/j.ijheh.2021.113719] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 02/13/2021] [Accepted: 02/14/2021] [Indexed: 12/01/2022]
Abstract
Plenty of recent studies on the impact of air pollution on blood pressure (BP) exist; however, there is a lack of data for the highly polluted Eastern Mediterranean region. We evaluated the associations of short-term exposure to air pollutants with systolic BP (SBP) and diastolic BP (DBP) and the long-term impact of air pollutants on incident hypertension, among Tehranian adults. In the Tehran Lipid and Glucose Study, 4580 nonhypertensive participants aged 20-69 years (41.6% male) were followed from 2001 to 2018 through 3-year follow-ups and 4-5 examinations of them were recorded. The air pollutants included particulate matter with a diameter ≤10 μm (PM10), carbon monoxide (CO), ozone (O3), nitrogen dioxide (NO2), and sulfur dioxide (SO2). The mixed-effects transition model estimated the air pollution impact on BP. The proportional hazards Weibull model measured the long-term effects of air pollutants on the multivariate hazard of incident hypertension. The air pollutants were put in the models in the form of mean annual level, applying three versions of 1, 2, and 3 years before the follow-ups. During a median follow-up of 12.3 years, 1618 cases of hypertension were found. In the short-term, increase in CO did not affect SBP but decreased DBP with a delay effect lasting for 14 days; increase in NO2 raised SBP with a 14-day lag, however did not change DBP; increase in O3 reduced SBP with a 14-day lag but made slight non-significant increase in DBP; rise in PM10 concentrations led to increased SBP (lag 0-3 days) and DBP with lags of 0-3 days and 12-14 days and increase in SO2 made the largest increases in DBP with lags lasting for 14 days, but did not affect SBP. Regarding incident hypertension in the long-term, the increase in CO had no significant effect; increase in NO2 decreased the risk over the 2- and 3-year time spans; rise in O3, PM10, and SO2 levels increased the risk in all time spans; the largest hazard ratio [1.96 (95% CI: 1.48, 2.62)] for incident hypertension was attributable to PM10 in 3 years. Considering the major effects of air pollutants including O3, SO2, and especially PM10 on incident hypertension, urgent public health policies should be implemented to reduce the burden of air pollution in metropolitan city of Tehran.
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Affiliation(s)
- Alireza Khajavi
- Student Research Committee, Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Robert D Brook
- Division of Cardiovascular Diseases, Wayne State University, Detroit, MI, USA
| | - Hengameh Abdi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farid Zayeri
- Department of Biostatistics, Proteomics Research Center, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Al-Kindi SG, Brook RD, Bhatt U, Brauer M, Cushman WC, Hanson HA, Kostis J, Lash JP, Paine R, Raphael KL, Rapp S, Tamariz L, Wright JT, Rajagopalan S. The Benefits of Intensive Versus Standard Blood Pressure Treatment According to Fine Particulate Matter Air Pollution Exposure: A Post Hoc Analysis of SPRINT. Hypertension 2021; 77:813-822. [PMID: 33517683 PMCID: PMC8485988 DOI: 10.1161/hypertensionaha.120.15923] [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] [Received: 08/13/2020] [Accepted: 12/31/2020] [Indexed: 11/16/2022]
Abstract
Fine particulate matter <2.5 µm (PM2.5) air pollution is implicated in global mortality, especially from cardiovascular causes. A large body of evidence suggests a link between PM2.5 and elevation in blood pressure (BP), with the latter implicated as a potential mediator of cardiovascular events. We sought to determine if the outcomes of intensive BP lowering (systolic BP <120 mm Hg) on cardiovascular events are modified by PM2.5 exposure in the SPRINT (Systolic BP Intervention Trial). We linked annual PM2.5 exposure estimates derived from an integrated model to subjects participating in SPRINT. We evaluated the effect of intensive BP lowering by PM2.5 exposure on the primary outcome in SPRINT using cox-proportional hazard models. A total of 9286 participants were linked to PM2.5 levels (mean age 68±9 years). Intensive BP-lowering decreased risk of the primary outcome more among patients exposed to higher PM2.5 (Pinteraction=0.047). The estimate for lowering of primary outcome was numerically lower in the highest than in the lower quintiles. The benefits of intensive BP-lowering were larger among patients chronically exposed to PM2.5 levels above US National Ambient Air Quality Standards of 12 µg/m3 (hazard ratio, 0.47 [95% CI, 0.29-0.74]) compared with those living in cleaner locations (hazard ratio, 0.81 [95% CI, 0.68-0.97]), Pinteraction=0.037. This exploratory nonprespecified post hoc analysis of SPRINT suggests that the benefits of intensive BP lowering on the primary outcome was greater in patients exposed to higher PM2.5, suggesting that the magnitude of benefit may depend upon the magnitude of antecedent PM2.5 exposure.
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Affiliation(s)
- Sadeer G. Al-Kindi
- Department of Medicine, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Robert D. Brook
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Udayan Bhatt
- Department of Medicine, Ohio State University, Columbus, OH, USA
| | - Michael Brauer
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | | | - Heidi A. Hanson
- Department of Surgery and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - John Kostis
- Department of Medicine, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - James P. Lash
- Department of Medicine, University of Illinois Chicago, Chicago, IL, USA
| | - Robert Paine
- Department of Medicine, University of Utah, Salt Lake City, UT, USA
| | | | - Stephen Rapp
- Division of Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Leonardo Tamariz
- Miami Veterans Affairs Healthcare System and the Department of Medicine, University of Miami, Miami, FL, USA
| | - Jackson T Wright
- Department of Medicine, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Sanjay Rajagopalan
- Department of Medicine, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA
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Ma Y, Sun M, Liang Q, Wang F, Lin L, Li T, Duan J, Sun Z. The relationship between long-term exposure to PM 2.5 and hypertension in women:A meta-analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 208:111492. [PMID: 33120275 DOI: 10.1016/j.ecoenv.2020.111492] [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: 04/25/2020] [Revised: 10/04/2020] [Accepted: 10/10/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE Gender difference and PM2.5 exposure all have effects on hypertension, change of estrogen level in different women's stage bring complex influence on blood pressure. Then we conduct this meta-analysis to investigate the association between long-term exposure (at least one year) to fine particulate matter (PM2.5) and hypertension in adult non-pregnant women. METHOD Four major databases: PubMed, Cochrane Library, Web of Science and Embase were searched with specific search terms, and 11 studies were finally selected. The meta-analysis module of software Stata 12.0 was used for data processing with the effect values hazard ratio (HR) and odds ratio (OR) respectively. RESULTS After sensitivity analysis, we removed a study with highly heterogeneity and finally included 10 studies. Meta-analysis results showed that exposure to PM2.5 (per 10 μg/m3 increase) was associated with hypertension in non-pregnancy adult women, HR = 1.23, 95%CI: 1.08-1.40; OR = 1.07, 95%CI: 1.00-1.14. And subgroup analysis showed that menopause, non-White and diabetes are the key risk factors of hypertension when exposed to PM2.5. CONCLUSION This is the first meta-analysis to explore the association between PM2.5 and non-pregnancy women, and calculate OR and HR respectively for the first time. Exposure to PM2.5 could increase the risk of hypertension in non-pregnancy women, and the combined 'HR' was much higher than 'OR'.
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Affiliation(s)
- Yuexiao Ma
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Mengqi Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Qingqing Liang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Fenghong Wang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Lisen Lin
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Tianyu Li
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Junchao Duan
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, PR China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing 100069, PR China.
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50
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Xu J, White AJ, Niehoff NM, O'Brien KM, Sandler DP. Airborne metals exposure and risk of hypertension in the Sister Study. ENVIRONMENTAL RESEARCH 2020; 191:110144. [PMID: 32898563 PMCID: PMC7658027 DOI: 10.1016/j.envres.2020.110144] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/31/2020] [Accepted: 08/25/2020] [Indexed: 05/19/2023]
Abstract
BACKGROUND Hypertension-related disease burden is a major challenge globally, with an estimated 1.56 billion adults expected to be affected by hypertension by 2025. Environmental factors, such as metals, could be risk factors for hypertension, but the relationship between airborne metals and hypertension is rarely studied. METHODS Census-tract airborne metal concentrations (arsenic, cadmium, chromium, cobalt, lead, manganese, mercury, nickel, selenium, and antimony) from the U.S. Environmental Protection Agency 2005 National Air Toxics Assessment database were linked to enrollment residential addresses of 47,595 women in the Sister Study cohort. Hypertension was defined as high systolic (≥140 mm Hg) or diastolic (≥90 mm Hg) blood pressure measured by trained examiners at enrollment or taking anti-hypertensive medications. Multivariable log binomial regression was used to estimate adjusted prevalence ratios (PRs) and 95% confidence intervals (CIs) for the association between individual metals and hypertension, with and without co-adjustment for other metals. Quantile-based g-computation was used to estimate the joint effect of the overall metal mixture. RESULTS Comparing the highest to lowest quartiles, risk of hypertension was higher among women with higher residential exposure to arsenic (PR = 1.05, 95%CI = 1.02,1.09), lead (PR = 1.04, 95%CI = 1.01,1.08), chromium (PR = 1.03, 95%CI = 1.00,1.06), cobalt (PR = 1.03, 95%CI = 1.00,1.07), and manganese (PR = 1.03, 95%CI = 1.00,1.06). Selenium was associated with lower risk of hypertension (PR = 0.96, 95%CI = 0.93,0.99). Results were similar with mutual adjustment for all other metals. The associations varied by race/ethnicity, with greater PRs in other races/ethnicities (Hispanic, black, and other participants) compared to non-Hispanic white participants. The joint effect of a quartile increase in exposure to all the metals was 1.02 (95%CI = 0.99,1.04). CONCLUSION We found that living in areas of higher exposure to arsenic, lead, chromium, cobalt, and manganese was related to higher risk of hypertension, whereas living in areas with higher selenium was inversely related to the risk of hypertension.
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Affiliation(s)
- Jing Xu
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institute of Health, Research Triangle Park, NC, USA; Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institute of Health, Research Triangle Park, NC, USA
| | - Nicole M Niehoff
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institute of Health, Research Triangle Park, NC, USA
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institute of Health, Research Triangle Park, NC, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institute of Health, Research Triangle Park, NC, USA.
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