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Zhang H, Wang J, Meng X, Shu B, Yuan C, Xie X, Liao Z, Jiang X, Chen B, Lin X, Wei X, Leng X, Lu S, Shi Q, Kan H, Tang D, Cai J, Wang Y. Parathyroid hormone mediates the adverse impact of air pollution exposure on serum 25-hydroxyvitamin D: A nationwide cross-sectional study in China. ENVIRONMENTAL RESEARCH 2024:120063. [PMID: 39341536 DOI: 10.1016/j.envres.2024.120063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2024] [Revised: 09/23/2024] [Accepted: 09/24/2024] [Indexed: 10/01/2024]
Abstract
BACKGROUND Maintaining normal levels of 25-hydroxyvitamin D [25(OH)D] and parathyroid hormone (PTH) is crucial for preserving skeletal health. However, evidence regarding the associations of exposure to air pollution with serum 25(OH)D and PTH were limited and ambiguous. Hence, the objective of this cross-sectional study was to systematically evaluate the association between air pollution (particulate matter ≤ 2.5 μm [PM2.5] and ozone [O3]) exposure and serum 25(OH)D and PTH levels in males aged 50 and above and postmenopausal female. MATERIALS AND METHODS This study is multicenter, cross-sectional study within the framework of the ongoing China Community-based Cohort of Osteoporosis. The 1-year-average PM2.5 and O3 exposures prior to the baseline survey were estimated using random forest models with relatively high accuracy. Multiple linear regression models were employed to assess the associations between PM2.5 and O3 concentrations with the serum levels of 25(OH)D and PTH. Furthermore, mediation analysis was performed to scrutinize the potential mediating role of PTH in the interplay between PM2.5, O3, and serum 25(OH)D. RESULTS A total of 13,194 participants were included. Our analysis showed that every 10 μg/m3 increase in the 1-year average PM2.5, were associated with -0.32 units (95% CI: -0.48, -0.17) of change in the 25(OH)D and 0.15 units (95% CI: 0.11, 0.19) of change in the PTH, respectively. Every 10 μg/m3 increase in the 1-year average O3, were associated with -0.78 units (95% CI: -1.05, -0.51) of change in the 25(OH)D and 0.50 units (95% CI: 0.43, 0.57) of change in the PTH, respectively. Estimates of the mediation ratio indicated that increased PTH mediated a 50.48% negative correlation between PM2.5 exposure and circulating 25(OH)D level. Increased PTH mediated 69.61% of the negative effects of O3 exposure on circulating 25(OH)D level. CONCLUSIONS Exposure to PM2.5 and O3 significantly diminished 25(OH)D while elevating PTH levels. Notably, the elevated PTH concentration partially mediates the associations between PM2.5 and O3 exposure and 25(OH)D level.
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Affiliation(s)
- Haitao Zhang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China; Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai 201203, China; Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai 201203, China; Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Jing Wang
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai 201203, China; Shanghai Geriatric Institute of Chinese Medicine, Shanghai 201203, China
| | - Xia Meng
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Bing Shu
- Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai 201203, China; Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai 201203, China; Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - ChunChun Yuan
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China; Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai 201203, China; Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai 201203, China; Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Xingwen Xie
- Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou 730099, China
| | - Zhangyu Liao
- Ganzhou Nankang District Traditional Chinese Medicine Hospital, Ganzhou 341499, China
| | - Xiaobing Jiang
- The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China
| | - Bolai Chen
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, China
| | - Xinchao Lin
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 101121, China
| | - Xu Wei
- Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China
| | - Xiangyang Leng
- Hospital Affiliated to Changchun University of Traditional Chinese Medicine, Changchun 130021, China
| | - Sheng Lu
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China; Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai 201203, China; Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai 201203, China
| | - Qi Shi
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China; Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai 201203, China; Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai 201203, China; Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Haidong Kan
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China
| | - Dezhi Tang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China; Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai 201203, China; Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai 201203, China.
| | - Jing Cai
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China.
| | - Yongjun Wang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China; Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai 201203, China; Spine Institute, Shanghai Academy of Traditional Chinese Medicine, Shanghai 201203, China; Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
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Zhuo B, Ran S, Qian AM, Zhang J, Tabet M, Howard SW, Zhang Z, Tian F, Lin H. Air Pollution Metabolomic Signatures and Chronic Respiratory Diseases Risk: A Longitudinal Study. Chest 2024:S0012-3692(24)04843-8. [PMID: 39059576 DOI: 10.1016/j.chest.2024.06.3809] [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: 12/27/2023] [Revised: 06/20/2024] [Accepted: 06/29/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Although evidence has documented the associations of ambient air pollution with chronic respiratory diseases (CRDs) and lung function, the underlying metabolic mechanisms remain largely unclear. RESEARCH QUESTION How does the metabolomic signature for air pollution relate to CRD risk, respiratory symptoms, and lung function? STUDY DESIGN AND METHODS We retrieved 171,132 participants free of COPD and asthma at baseline from the UK Biobank, who had data on air pollution and metabolomics. Exposures to air pollutants (particulate matter with diameter ≤ 2.5 μm [PM2.5], particulate matter with a diameter ≤ 10 μm, nitrogen oxide [NOX], and NO2) were assessed for 4 years before baseline considering residential address histories. We used 10-fold cross-validation elastic net regression to identify air pollution-associated metabolites. Multivariable Cox models were used to assess the associations between metabolomic signatures and CRD risk. Mediation and pathway analysis were conducted to explore the metabolic mechanism underlying the associations. RESULTS During a median follow-up of 12.51 years, 8,951 and 5,980 incident COPD and asthma cases were recorded. In multivariable Cox regressions, air pollution was positively associated with CRD risk (eg, hazard ratio per interquartile range increment in PM2.5, 1.09; 95% CI, 1.06-1.13). We identified 103, 86, 85, and 90 metabolites in response to PM2.5, particulate matter with a diameter ≤ 10 μm, NOX, and NO2 exposure, respectively. The metabolomic signatures showed significant associations with CRD risk (hazard ratio per SD increment in PM2.5 metabolomic signature, 1.11; 95% CI, 1.09-1.14). Mediation analysis showed that peripheral inflammatory and erythrocyte-related markers mediated the effects of metabolomic signatures on CRD risk. We identified 14 and 12 perturbed metabolic pathways (energy metabolism and amino acid metabolism pathways, etc) for PM2.5 and NOX metabolomic signatures. INTERPRETATION Our study identifies metabolomic signatures for air pollution exposure. The metabolomic signatures showed significant associations with CRD risk, and inflammatory- and erythrocyte-related markers partly mediated the metabolomic signatures-CRD links.
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Affiliation(s)
- Bingting Zhuo
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shanshan Ran
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Aaron M Qian
- Department of Psychology, College of Arts and Sciences, Saint Louis University, Saint Louis, MO
| | - Junguo Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Maya Tabet
- College of Global Population Health, University of Health Sciences and Pharmacy, Saint Louis, MO
| | - Steven W Howard
- Department of Health Services Administration, School of Health Professions, University of Alabama at Birmingham, Birmingham, AL
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
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Yang Y, Wu H, Zeng Y, Xu F, Zhao S, Zhang L, An Z, Li H, Li J, Song J, Wu W. Short-term exposure to air pollution on peripheral white blood cells and inflammation biomarkers: a cross-sectional study on rural residents. BMC Public Health 2024; 24:1702. [PMID: 38926692 PMCID: PMC11201365 DOI: 10.1186/s12889-024-19116-2] [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: 04/07/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
Effects of short-term exposure to ambient air pollution on systemic immunological and inflammatory biomarkers in rural population have not been adequately characterized. From May to July 2021, 5816 participants in rural villages of northern Henan Province, China, participated in this cross-sectional study. Blood biomarkers of systemic inflammation were determined including peripheral white blood cells (WBC), eosinophils (EOS), basophils (BAS), monocytes (MON), lymphocytes (LYM), neutrophils (NEU), neutrophil-lymphocyte ratio (NLR), and serum high-sensitivity C-reactive protein (hs-CRP). The concentrations of ambient fine particulate matter (PM2.5), PM10, nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) were assessed up to 7 days prior to the blood draw. A generalized linear model was used to analyze the associations between air pollution exposure and the above-mentioned blood biomarkers. Significantly positive associations were revealed between PM2.5, CO and WBC; CO, O3 and LYM; PM2.5, PM10, SO2, CO and NEU; PM2.5, PM10, SO2, CO and NLR; PM2.5, PM10, SO2, NO2, CO, O3 and hs-CRP. Meanwhile, negative associations were found between SO2 and WBC; PM2.5, PM10, NO2, CO, or O3 and EOS; PM2.5, SO2, or CO and BAS; SO2, NO2 or O3 and MON; PM2.5, PM10, SO2, or NO2 and LYM. Moreover, men, individuals with normal body mass index (BMI), current smokers, and those older than 60 years were found vulnerable to air pollution effects. Taken together, short-term exposure to air pollution was associated with systemic inflammatory responses, providing insight into the potential mechanisms for air pollution-induced detrimental systemic effects in rural residents.
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Affiliation(s)
- Yishu Yang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Hui Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Yuling Zeng
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Fei Xu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Shuaiqi Zhao
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Ling Zhang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Zhen An
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Huijun Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Juan Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Jie Song
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Weidong Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China.
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China.
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Li J, Gu J, Liu L, Cao M, Wang Z, Tian X, He J. The relationship between air pollutants and preterm birth and blood routine changes in typical river valley city. BMC Public Health 2024; 24:1677. [PMID: 38915004 PMCID: PMC11197378 DOI: 10.1186/s12889-024-19140-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 06/13/2024] [Indexed: 06/26/2024] Open
Abstract
OBJECTIVE To collect maternal maternity information on preterm births in two tertiary hospitals in the urban area of Baota District, Yan'an City, from January 2018 to December 2020, to explore the long-term and short-term effects of air pollutants (PM2.5, PM10, SO2, NO2, CO and O3) and preterm births, and to explore changes in blood cell counts due to air pollutants. METHODS Daily average mass concentration data of six air pollutants in the urban area of Yan'an City from January 1, 2017 to December 31, 2020 were collected from the monitoring station in Baota District, Yan'an City. Meteorological information was obtained from the Meteorological Bureau of Yan'an City, including temperature,relative humidity and wind speed for the time period. The mass concentration of air pollutants in each exposure window of pregnant women was assessed by the nearest monitoring station method, and conditional logistic regression was used to analyze the relationship between air pollutants and preterm births, as well as the lagged and cumulative effects of air pollutants. Multiple linear regression was used to explore the relationship between air pollutants and blood tests after stepwise linear regression was used to determine confounders for each blood test. RESULTS The long-term effects of pollutants showed that PM2.5, PM10, SO2, NO2and CO were risk factors for preterm birth. In the two-pollutant model, PM2.5, PM10, SO2 and NO2 mixed with other pollutants were associated with preterm birth. The lagged effect showed that PM2.5, PM10, SO2, NO, and CO were associated with preterm birth; the cumulative effect showed that other air pollutants except O3 were associated with preterm birth. The correlation study between air pollutants and blood indicators showed that air pollutants were correlated with leukocytes, monocytes, basophils, erythrocytes, hs-CRPand not with CRP. CONCLUSION Exposure to air pollutants is a risk factor for preterm birth. Exposure to air pollutants was associated with changes in leukocytes, monocytes, basophils and erythrocytes and hs-CRP.
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Affiliation(s)
- Jimin Li
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Jiajia Gu
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Lang Liu
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Meiying Cao
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Zeqi Wang
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Xi Tian
- Medical School of Yan'an University, Yan'an, Shaanxi, China
| | - Jinwei He
- Medical School of Yan'an University, Yan'an, Shaanxi, China.
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Anand A, Castiglia E, Zamora ML. The Association Between Personal Air Pollution Exposures and Fractional Exhaled Nitric Oxide (FeNO): A Systematic Review. Curr Environ Health Rep 2024; 11:210-224. [PMID: 38386269 PMCID: PMC11180488 DOI: 10.1007/s40572-024-00430-1] [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] [Accepted: 01/19/2024] [Indexed: 02/23/2024]
Abstract
PURPOSE OF REVIEW Airway inflammation is a common biological response to many types of environmental exposures and can lead to increased nitric oxide (NO) concentrations in exhaled breath. In recent years, several studies have evaluated airway inflammation using fractional exhaled nitric oxide (FeNO) as a biomarker of exposures to a range of air pollutants. This systematic review aims to summarize the studies that collected personal-level air pollution data to assess the air pollution-induced FeNO responses and to determine if utilizing personal-level data resulted in an improved characterization of the relationship between air pollution exposures and FeNO compared to using only ambient air pollution exposure data. RECENT FINDINGS Thirty-six eligible studies were identified. Overall, the studies included in this review establish that an increase in personal exposure to particulate and gaseous air pollutants can significantly increase FeNO. Nine out of the 12 studies reported statistically significant FeNO increases with increasing personal PM2.5 exposures, and up to 11.5% increase in FeNO per IQR increase in exposure has also been reported between FeNO and exposure to gas-phase pollutants, such as ozone, NO2, and benzene. Furthermore, factors such as chronic respiratory diseases, allergies, and medication use were found to be effect modifiers for air pollution-induced FeNO responses. About half of the studies that compared the effect estimates using both personal and ambient air pollution exposure methods reported that only personal exposure yielded significant associations with FeNO response. The evidence from the reviewed studies confirms that FeNO is a sensitive biomarker for air pollutant-induced airway inflammation. Personal air pollution exposure assessment is recommended to accurately assess the air pollution-induced FeNO responses. Furthermore, comprehensive adjustments for the potential confounding factors including the personal exposures of the co-pollutants, respiratory disease status, allergy status, and usage of medications for asthma and allergies are recommended while assessing the air pollution-induced FeNO responses.
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Affiliation(s)
- Abhay Anand
- Department of Public Health Sciences, UConn School of Medicine, UConn Health, 263 Farmington Avenue, Farmington, CT, 06030-6325, USA
| | - Elliana Castiglia
- Department of Public Health Sciences, UConn School of Medicine, UConn Health, 263 Farmington Avenue, Farmington, CT, 06030-6325, USA
| | - Misti Levy Zamora
- Department of Public Health Sciences, UConn School of Medicine, UConn Health, 263 Farmington Avenue, Farmington, CT, 06030-6325, USA.
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Lung SCC, Tsou MCM, Cheng CHC, Setyawati W. Peaks, sources, and immediate health impacts of PM 2.5 and PM 1 exposure in Indonesia and Taiwan with microsensors. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024:10.1038/s41370-024-00689-4. [PMID: 38806636 DOI: 10.1038/s41370-024-00689-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 05/15/2024] [Accepted: 05/15/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND Microsensors have been used for the high-resolution particulate matter (PM) monitoring. OBJECTIVES This study applies PM and health microsensors with the objective of assessing the peak exposure, sources, and immediate health impacts of PM2.5 and PM1 in two Asian countries. METHODS Exposure assessment and health evaluation were carried out for 50 subjects in 2018 and 2019 in Bandung, Indonesia and for 55 subjects in 2019 and 2020 in Kaohsiung, Taiwan. Calibrated AS-LUNG sets and medical-certified RootiRx® sensors were used to assess PM and heart-rate variability (HRV), respectively. RESULTS Overall, the 5-min mean exposure of PM2.5 and PM1 was 30.4 ± 20.0 and 27.0 ± 15.7 µg/m3 in Indonesia and 14.9 ± 11.2 and 13.9 ± 9.8 µg/m3 in Taiwan, respectively. The maximum 5-min peak PM2.5 and PM1 exposures were 473.6 and 154.0 µg/m3 in Indonesia and 467.4 and 217.7 µg/m3 in Taiwan, respectively. Community factories and mosquito coil burning are the two most important exposure sources, resulting in, on average, 4.73 and 5.82 µg/m3 higher PM2.5 exposure increments for Indonesian subjects and 10.1 and 9.82 µg/m3 higher PM2.5 exposure for Taiwanese subjects compared to non-exposure periods, respectively. Moreover, agricultural waste burning and incense burning were another two important exposure sources, but only in Taiwan. Furthermore, 5-min PM2.5 and PM1 exposure had statistically significantly immediate impacts on the HRV indices and heart rates of all subjects in Taiwan and the scooter subjects in Indonesia with generalized additive mixed models. The HRV change for a 10 µg/m3 increase in PM2.5 and PM1 ranged from -0.9% to -2.5% except for ratio of low-high frequency, with greater impacts associated with PM1 than PM2.5 in both countries. IMPACT STATEMENT This work highlights the ability of microsensors to capture high peaks of PM2.5 and PM1, to identify exposure sources through the integration of activity records, and to assess immediate changes in heart rate variability for a panel of approximately 50 subjects in Indonesia and Taiwan. This study stands out as one of the few to demonstrate the immediate health impacts of peak PM, complementing to the short-term (days or weeks) or long-term effects (months or longer) assessed in most epidemiological studies. The technology/methodology employed offer great potential for researchers in the resource-limited countries with high PM2.5 and PM1 levels.
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Affiliation(s)
- Shih-Chun Candice Lung
- Research Center for Environmental Changes, Academia Sinica, Taipei, Taiwan, ROC.
- Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan, ROC.
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan, ROC.
| | | | | | - Wiwiek Setyawati
- Research Center for Climate and Atmosphere, National Research and Innovation Agency (BRIN), Kota Bandung, Indonesia
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Cipryan L, Litschmannova M, Barot T, Dostal T, Sindler D, Kutac P, Jandacka D, Hofmann P. Air pollution, cardiorespiratory fitness and biomarkers of oxidative status and inflammation in the 4HAIE study. Sci Rep 2024; 14:9620. [PMID: 38671019 PMCID: PMC11053001 DOI: 10.1038/s41598-024-60388-w] [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: 10/19/2023] [Accepted: 04/22/2024] [Indexed: 04/28/2024] Open
Abstract
The aim of this study was to investigate the associations between cardiorespiratory fitness (CRF), long-term air pollution exposure and biochemical markers of oxidative status and inflammation. This is a cross-sectional investigation focusing on biochemical markers of oxidative status and inflammation. Participants were Caucasian (N = 1188; age 18-65 years) who lived for at least 5 years in a high air-polluted (Moravian-Silesian; MS) or low air-polluted (South Bohemia; SB) region of the Czech Republic. Healthy runners and inactive individuals were recruited. A multiple regression analysis was used to explain the relationship between multiple independent variables (CRF, trunk fat mass, sex, socioeconomic status, and region (MS region vs. SB region) and dependent variables (oxidative status, inflammation). CRF, trunk fat mass, age and sex significantly predicted almost all selected markers of oxidative status and inflammation (except GSSG, GSH/GSSG and BDNF). Participants living in the MS region presented significantly higher GPx (by 3.1%) and lower BDNF values (by 4.5%). All other investigated biochemical markers were not significantly influenced by region. We did not find meaningful interactions between long-term air-pollution exposure versus markers of oxidative status and inflammation. However, we showed various significant interactions with sex, age, CRF and body composition. The significant association of living in the high air polluted MS region with the BDNF level warrants further attention.
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Affiliation(s)
- Lukas Cipryan
- Department of Human Movement Studies and Human Motion Diagnostic Centre, The University of Ostrava, Ostrava, Czech Republic.
| | - Martina Litschmannova
- Department of Applied Mathematics, Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, Ostrava, Czech Republic
| | - Tomas Barot
- Department of Mathematics with Didactics, The University of Ostrava, Ostrava, Czech Republic
| | - Tomas Dostal
- Department of Human Movement Studies and Human Motion Diagnostic Centre, The University of Ostrava, Ostrava, Czech Republic
| | - Dominik Sindler
- Department of Human Movement Studies and Human Motion Diagnostic Centre, The University of Ostrava, Ostrava, Czech Republic
| | - Petr Kutac
- Department of Human Movement Studies and Human Motion Diagnostic Centre, The University of Ostrava, Ostrava, Czech Republic
| | - Daniel Jandacka
- Department of Human Movement Studies and Human Motion Diagnostic Centre, The University of Ostrava, Ostrava, Czech Republic
| | - Peter Hofmann
- Institute of Human Movement Science, Sport and Health, University of Graz, Graz, Austria
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Jiang F, Zhao J, Sun J, Chen W, Zhao Y, Zhou S, Yuan S, Timofeeva M, Law PJ, Larsson SC, Chen D, Houlston RS, Dunlop MG, Theodoratou E, Li X. Impact of ambient air pollution on colorectal cancer risk and survival: insights from a prospective cohort and epigenetic Mendelian randomization study. EBioMedicine 2024; 103:105126. [PMID: 38631091 PMCID: PMC11035091 DOI: 10.1016/j.ebiom.2024.105126] [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: 09/03/2023] [Revised: 03/20/2024] [Accepted: 04/04/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND This study investigates the associations between air pollution and colorectal cancer (CRC) risk and survival from an epigenomic perspective. METHODS Using a newly developed Air Pollutants Exposure Score (APES), we utilized a prospective cohort study (UK Biobank) to investigate the associations of individual and combined air pollution exposures with CRC incidence and survival, followed by an up-to-date systematic review with meta-analysis to verify the associations. In epigenetic two-sample Mendelian randomization analyses, we examine the associations between genetically predicted DNA methylation related to air pollution and CRC risk. Further genetic colocalization and gene-environment interaction analyses provided different insights to disentangle pathogenic effects of air pollution via epigenetic modification. FINDINGS During a median 12.97-year follow-up, 5767 incident CRC cases among 428,632 participants free of baseline CRC and 533 deaths in 2401 patients with CRC were documented in the UK Biobank. A higher APES score was associated with an increased CRC risk (HR, 1.03, 95% CI = 1.01-1.06; P = 0.016) and poorer survival (HR, 1.13, 95% CI = 1.03-1.23; P = 0.010), particularly among participants with insufficient physical activity and ever smokers (Pinteraction > 0.05). A subsequent meta-analysis of seven observational studies, including UK Biobank data, corroborated the association between PM2.5 exposure (per 10 μg/m3 increment) and elevated CRC risk (RR,1.42, 95% CI = 1.12-1.79; P = 0.004; I2 = 90.8%). Genetically predicted methylation at PM2.5-related CpG site cg13835894 near TMBIM1/PNKD and cg16235962 near CXCR5, and NO2-related cg16947394 near TMEM110 were associated with an increased CRC risk. Gene-environment interaction analysis confirmed the epigenetic modification of aforementioned CpG sites with CRC risk and survival. INTERPRETATION Our study suggests the association between air pollution and CRC incidence and survival, underscoring the possible modifying roles of epigenomic factors. Methylation may partly mediate pathogenic effects of air pollution on CRC, with annotation to epigenetic alterations in protein-coding genes TMBIM1/PNKD, CXCR5 and TMEM110. FUNDING Xue Li is supported by the Natural Science Fund for Distinguished Young Scholars of Zhejiang Province (LR22H260001), the National Nature Science Foundation of China (No. 82204019) and Healthy Zhejiang One Million People Cohort (K-20230085). ET is supported by a Cancer Research UK Career Development Fellowship (C31250/A22804). MGD is supported by the MRC Human Genetics Unit Centre Grant (U127527198).
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Affiliation(s)
- Fangyuan Jiang
- Department of Big Data in Health Science, School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianhui Zhao
- Department of Big Data in Health Science, School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jing Sun
- Department of Big Data in Health Science, School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wenxi Chen
- Department of Big Data in Health Science, School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuyuan Zhao
- Department of Big Data in Health Science, School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Siyun Zhou
- Department of Big Data in Health Science, School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shuai Yuan
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Maria Timofeeva
- Danish Institute for Advanced Study (DIAS), Epidemiology, Biostatistics and Biodemography Research Unit, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Philip J Law
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Susanna C Larsson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden; Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala, Sweden
| | - Dong Chen
- Department of Colorectal Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang Province, China
| | - Richard S Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Malcolm G Dunlop
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Evropi Theodoratou
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK; Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK
| | - Xue Li
- Department of Big Data in Health Science, School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Wass SY, Hahad O, Asad Z, Li S, Chung MK, Benjamin EJ, Nasir K, Rajagopalan S, Al-Kindi SG. Environmental Exposome and Atrial Fibrillation: Emerging Evidence and Future Directions. Circ Res 2024; 134:1029-1045. [PMID: 38603473 PMCID: PMC11060886 DOI: 10.1161/circresaha.123.323477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
There has been increased awareness of the linkage between environmental exposures and cardiovascular health and disease. Atrial fibrillation is the most common sustained cardiac arrhythmia, affecting millions of people worldwide and contributing to substantial morbidity and mortality. Although numerous studies have explored the role of genetic and lifestyle factors in the development and progression of atrial fibrillation, the potential impact of environmental determinants on this prevalent condition has received comparatively less attention. This review aims to provide a comprehensive overview of the current evidence on environmental determinants of atrial fibrillation, encompassing factors such as air pollution, temperature, humidity, and other meteorologic conditions, noise pollution, greenspace, and the social environment. We discuss the existing evidence from epidemiological and mechanistic studies, critically evaluating the strengths and limitations of these investigations and the potential underlying biological mechanisms through which environmental exposures may affect atrial fibrillation risk. Furthermore, we address the potential implications of these findings for public health and clinical practice and identify knowledge gaps and future research directions in this emerging field.
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Affiliation(s)
- Sojin Youn Wass
- Heart, Vascular and Thoracic Institute, Cleveland Clinic, OH (M.K.C., S.Y.W.)
| | - Omar Hahad
- Department of Cardiology, University Medical Center of the Johannes Gutenberg University Mainz, Germany (O.H.)
| | - Zain Asad
- Division of Cardiovascular Medicine, University of Oklahoma Medical Center, Oklahoma City (Z.A.)
| | - Shuo Li
- Biomedical Engineering, Case Western Reserve University, Cleveland, OH (S.L.)
| | - Mina K Chung
- Heart, Vascular and Thoracic Institute, Cleveland Clinic, OH (M.K.C., S.Y.W.)
| | - Emelia J Benjamin
- Section of Cardiovascular Medicine, Department of Medicine, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine and Department of Epidemiology, Boston University School of Public Health, MA (E.J.B.)
| | - Khurram Nasir
- Cardiovascular Prevention and Wellness, DeBakey Heart and Vascular Center, Houston Methodist, TX (K.N., S.G.A.-K.)
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals, Cleveland, OH (S.R.)
- Case Western Reserve University School of Medicine, Cleveland, OH (S.R.)
| | - Sadeer G Al-Kindi
- Cardiovascular Prevention and Wellness, DeBakey Heart and Vascular Center, Houston Methodist, TX (K.N., S.G.A.-K.)
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Gueye-Ndiaye S, Tully M, Amin R, Baldassari CM, Chervin RD, Cole M, Ibrahim S, Kirkham EM, Mitchell RB, Naqvi K, Ross K, Rueschman M, Tapia IE, Williamson AA, Wei Z, Rosen CL, Wang R, Redline S. Neighborhood Disadvantage, Quality of Life, and Symptom Burden in Children with Mild Sleep-disordered Breathing. Ann Am Thorac Soc 2024; 21:604-611. [PMID: 38241286 PMCID: PMC10995551 DOI: 10.1513/annalsats.202307-653oc] [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: 07/28/2023] [Accepted: 01/18/2024] [Indexed: 01/21/2024] Open
Abstract
Rationale: Neighborhood disadvantage (ND) has been associated with sleep-disordered breathing (SDB) in children. However, the association between ND and SDB symptom burden and quality of life (QOL) has not yet been studied.Objectives: To evaluate associations between ND with SDB symptom burden and QOL.Methods: Cross-sectional analyses were performed on 453 children, ages 3-12.9 years, with mild SDB (habitual snoring and apnea-hypopnea index < 3/h) enrolled in the PATS (Pediatric Adenotonsillectomy Trial for Snoring) multicenter study. The primary exposure, neighborhood disadvantage, was characterized by the Child Opportunity Index (COI) (range, 0-100), in which lower values (specifically COI ⩽ 40) signify less advantageous neighborhoods. The primary outcomes were QOL assessed by the obstructive sleep apnea (OSA)-18 questionnaire (range, 18-126) and SDB symptom burden assessed by the Pediatric Sleep Questionnaire-Sleep-related Breathing Disorder (PSQ-SRBD) scale (range, 0-1). The primary model was adjusted for age, sex, race, ethnicity, maternal education, recruitment site, and season. In addition, we explored the role of body mass index (BMI) percentile, environmental tobacco smoke (ETS), and asthma in these associations.Results: The sample included 453 children (16% Hispanic, 26% Black or African American, 52% White, and 6% other). COI mean (standard deviation [SD]) was 50.3 (29.4), and 37% (n = 169) of participants lived in disadvantaged neighborhoods. Poor SDB-related QOL (OSA-18 ⩾ 60) and high symptom burden (PSQ-SRBD ⩾ 0.33) were found in 30% (n = 134) and 75% (n = 341) of participants, respectively. In adjusted models, a COI increase by 1 SD (i.e., more advantageous neighborhood) was associated with an improvement in OSA-18 score by 2.5 points (95% confidence interval [CI], -4.34 to -0.62) and in PSQ-SRBD score by 0.03 points (95% CI, -0.05 to -0.01). These associations remained significant after adjusting for BMI percentile, ETS, or asthma; however, associations between COI and SDB-related QOL attenuated by 23% and 10% after adjusting for ETS or asthma, respectively.Conclusions: Neighborhood disadvantage was associated with poorer SDB-related QOL and greater SDB symptoms. Associations were partially attenuated after considering the effects of ETS or asthma. The findings support efforts to reduce ETS and neighborhood-level asthma-related risk factors and identify other neighborhood-level factors that contribute to SDB symptom burden as strategies to address sleep-health disparities.Clinical trial registered with www.clinicaltrials.gov (NCT02562040).
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Affiliation(s)
- Seyni Gueye-Ndiaye
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Meg Tully
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Raouf Amin
- Cincinnati Children’s Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Cristina M. Baldassari
- Department of Otolaryngology, Eastern Virginia Medical School, Norfolk, Virginia
- Department of Pediatric Sleep Medicine, Children’s Hospital of The King’s Daughters, Norfolk, Virginia
| | | | - Melissa Cole
- Cincinnati Children’s Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Sally Ibrahim
- Rainbow Babies and Children’s Hospital and University Hospitals, Cleveland, Ohio
| | | | - Ron B. Mitchell
- Children’s Medical Center of Dallas and UT Southwestern Medical Center, Dallas, Texas
| | - Kamal Naqvi
- Children’s Medical Center of Dallas and UT Southwestern Medical Center, Dallas, Texas
| | - Kristie Ross
- Rainbow Babies and Children’s Hospital and University Hospitals, Cleveland, Ohio
| | - Michael Rueschman
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Ignacio E. Tapia
- Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ariel A. Williamson
- The Ballmer Institute for Children’s Behavioral Health, University of Oregon, Eugene, Oregon
| | - Zhuoran Wei
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Carol L. Rosen
- Case Western Reserve University School of Medicine, Cleveland, Ohio; and
| | - Rui Wang
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Susan Redline
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
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11
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Letellier N, Yang JA, Alismail S, Nukavarapu N, Hartman SJ, Rock CL, Sears DD, Jankowska MM, Benmarhnia T. Exploring the impact of environmental exposure changes on metabolic biomarkers: A 6-month GPS-GIS study among women with overweight or obesity. ENVIRONMENTAL RESEARCH 2024; 243:117881. [PMID: 38070847 DOI: 10.1016/j.envres.2023.117881] [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: 09/14/2023] [Revised: 12/04/2023] [Accepted: 12/04/2023] [Indexed: 02/06/2024]
Abstract
BACKGROUND Little is known about the impact of environmental exposure change on metabolic biomarkers associated with cancer risk. Furthermore, this limited epidemiological evidence on metabolic biomarkers focused on residential exposure, without considering the activity space which can be done by modelling dynamic exposures. In this longitudinal study, we aimed to investigate the impact of environmental exposures change on metabolic biomarkers using GPS-GIS based measurements. METHODS Among two weight loss interventions, the Reach for Health and the MENU studies, which included ∼460 women at risk of breast cancer or breast cancer survivors residing in Southern California, three metabolic biomarkers (insulin resistance, fasting glucose, and C-reactive protein) were assessed. Dynamic GPS-GIS based exposure to green spaces, recreation, walkability, NO2, and PM2.5 were calculated at baseline and 6 months follow-up using time-weighted spatial averaging. Generalized estimating equations models were used to examine the relationship between changes in environmental exposures and biomarker levels over time. RESULTS Overall, six-month environmental exposure change was not associated with metabolic biomarkers change. Stratified analyses by level of environmental exposures at baseline revealed that reduced NO2 and PM2.5 exposure was associated with reduced fasting glucose concentration among women living in a healthier environment at baseline (β -0.010, 95%CI -0.025, 0.005; β -0.019, 95%CI -0.034, -0.003, respectively). Women living in poor environmental conditions at baseline and exposed to greener environments had decreased C-reactive protein concentrations (β -1.001, 95%CI -1.888, -0.131). CONCLUSIONS The impact of environmental exposure changes on metabolic biomarkers over time may be modified by baseline exposure conditions.
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Affiliation(s)
| | - Jiue-An Yang
- Population Sciences, Beckman Research Institute, City of Hope, 1500 E Duarte Rd, Duarte, CA, 91010, USA
| | - Sarah Alismail
- Population Sciences, Beckman Research Institute, City of Hope, 1500 E Duarte Rd, Duarte, CA, 91010, USA
| | - Nivedita Nukavarapu
- Population Sciences, Beckman Research Institute, City of Hope, 1500 E Duarte Rd, Duarte, CA, 91010, USA
| | - Sheri J Hartman
- Herbert Wertheim School of Public Health & Human Longevity Science, UC San Diego, USA
| | - Cheryl L Rock
- Department of Family Medicine, School of Medicine, University of California at San Diego, La Jolla, CA, USA
| | - Dorothy D Sears
- College of Health Solutions, Arizona State University, Phoenix, AZ, USA
| | - Marta M Jankowska
- Population Sciences, Beckman Research Institute, City of Hope, 1500 E Duarte Rd, Duarte, CA, 91010, USA
| | - Tarik Benmarhnia
- Scripps Institution of Oceanography, UC San Diego, USA; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), UMR_S 1085, Rennes, France
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12
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Pedde M, Larson TV, D’Souza J, Szpiro AA, Kloog I, Lisabeth LD, Jacobs D, Sheppard L, Allison M, Kaufman JD, Adar SD. Coarse Particulate Matter and Markers of Inflammation and Coagulation in the Multi-Ethnic Study of Atherosclerosis (MESA) Population: A Repeat Measures Analysis. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:27009. [PMID: 38381480 PMCID: PMC10880818 DOI: 10.1289/ehp12972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 01/09/2024] [Accepted: 01/16/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND In contrast to fine particles, less is known of the inflammatory and coagulation impacts of coarse particulate matter (PM 10 - 2.5 , particulate matter with aerodynamic diameter ≤ 10 μ m and > 2.5 μ m ). Toxicological research suggests that these pathways might be important processes by which PM 10 - 2.5 impacts health, but there are relatively few epidemiological studies due to a lack of a national PM 10 - 2.5 monitoring network. OBJECTIVES We used new spatiotemporal exposure models to examine associations of both 1-y and 1-month average PM 10 - 2.5 concentrations with markers of inflammation and coagulation. METHODS We leveraged data from 7,071 Multi-Ethnic Study of Atherosclerosis and ancillary study participants 45-84 y of age who had repeated plasma measures of inflammatory and coagulation biomarkers. We estimated PM 10 - 2.5 at participant addresses 1 y and 1 month before each of up to four exams (2000-2012) using spatiotemporal models that incorporated satellite, regulatory monitoring, and local geographic data and accounted for spatial correlation. We used random effects models to estimate associations with interleukin-6 (IL-6), C-reactive protein (CRP), fibrinogen, and D-dimer, controlling for potential confounders. RESULTS Increases in PM 10 - 2.5 were not associated with greater levels of inflammation or coagulation. A 10 - μ g / m 3 increase in annual average PM 10 - 2.5 was associated with a 2.5% decrease in CRP [95% confidence interval (CI): - 5.5 , 0.6]. We saw no association between annual average PM 10 - 2.5 and the other markers (IL-6: - 0.7 % , 95% CI: - 2.6 , 1.2; fibrinogen: - 0.3 % , 95% CI: - 0.9 , 0.3; D-dimer: - 0.2 % , 95% CI: - 2.6 , 2.4). Associations consistently showed that a 1 0 - μ g / m 3 increase in 1-month average PM 10 - 2.5 was associated with reduced inflammation and coagulation, though none were distinguishable from no association (IL-6: - 1.2 % , 95% CI: - 3.0 , 0.5; CRP: - 2.5 % , 95% CI: - 5.3 , 0.4; fibrinogen: - 0.4 % , 95% CI: - 1.0 , 0.1; D-dimer: - 2.0 % , 95% CI: - 4.3 , 0.3). DISCUSSION We found no evidence that PM 10 - 2.5 is associated with higher inflammation or coagulation levels. More research is needed to determine whether the inflammation and coagulation pathways are as important in explaining observed PM 10 - 2.5 health impacts in humans as they have been shown to be in toxicology studies or whether PM 10 - 2.5 might impact human health through alternative biological mechanisms. https://doi.org/10.1289/EHP12972.
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Affiliation(s)
- Meredith Pedde
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Timothy V. Larson
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington, USA
| | - Jennifer D’Souza
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Adam A. Szpiro
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Lynda D. Lisabeth
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - David Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Lianne Sheppard
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Matthew Allison
- Division of Preventive Medicine, University of California San Diego, San Diego, California, USA
| | - Joel D. Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Sara D. Adar
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
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Healy DR, Kårlund A, Mikkonen S, Puhakka S, Karhunen L, Kolehmainen M. Associations of low levels of air pollution with cardiometabolic outcomes and the role of diet quality in individuals with obesity. ENVIRONMENTAL RESEARCH 2024; 242:117637. [PMID: 37993047 DOI: 10.1016/j.envres.2023.117637] [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: 08/07/2023] [Revised: 11/04/2023] [Accepted: 11/08/2023] [Indexed: 11/24/2023]
Abstract
BACKGROUND Exposure to air pollution is associated with adverse cardiometabolic health effects and increased mortality, even at low concentrations. Some of the biological mechanisms through which air pollution can affect cardiometabolic health overlap with health outcomes associated with diet quality and changes in diet. OBJECTIVE The objective of this study is to investigate associations of air pollutants at average concentrations below the World Health Organization, 2021 air quality guidelines with cardiometabolic outcomes. Furthermore, potential interaction between air pollutants and diet quality will be assessed. METHODS 82 individuals with obesity participated in a combined weight loss and weight loss maintenance study for a total of 33 weeks. A secondary analysis was conducted incorporating air pollution measurements. Data were analysed with linear mixed-effects models. RESULTS A total of 17 significant associations were observed for single pollutants with 10 cardiometabolic outcomes, predominantly related to blood lipids, hormones, and glucose regulation. Diet quality, as measured by the Baltic Sea Diet score, did not appear to mediate the association of air pollution with cardiometabolic outcomes, however, diet quality was observed to significantly modify the association of PM2.5 with total cholesterol, and the associations of NO and O3 with ghrelin. DISCUSSION These findings suggest that exposure to ambient air pollutants, especially particulate matter, at levels below World Health Organization, 2021 air quality guidelines, were associated with changes in cardiometabolic risk factors. Diet may be a personal-level approach for individuals to modify the impact of exposure to air pollution on cardiometabolic health.
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Affiliation(s)
- Darren R Healy
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, FI-70211, Kuopio, Finland.
| | - Anna Kårlund
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, FI-70211, Kuopio, Finland; Department of Life Technologies, University of Turku, FI-20014, Turku, Finland
| | - Santtu Mikkonen
- Department of Technical Physics, University of Eastern Finland, P.O. Box 1627, FI-70211, Kuopio, Finland; Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 1627, FI-70211, Kuopio, Finland
| | - Soile Puhakka
- Department of Medicine, University of Oulu, P.O. Box 8000, FI-90014, Oulu, Finland; Department of Sports and Exercise Medicine, Oulu Deaconess Institute Foundation sr., P. O. Box 365, 90100, Oulu, Finland
| | - Leila Karhunen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, FI-70211, Kuopio, Finland
| | - Marjukka Kolehmainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, FI-70211, Kuopio, Finland
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14
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Kim JH, Woo HD, Lee JJ, Song DS, Lee K. Association between short-term exposure to ambient air pollutants and biomarkers indicative of inflammation and oxidative stress: a cross-sectional study using KoGES-HEXA data. Environ Health Prev Med 2024; 29:17. [PMID: 38494707 PMCID: PMC10957338 DOI: 10.1265/ehpm.23-00199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 01/20/2024] [Indexed: 03/19/2024] Open
Abstract
BACKGROUND Air pollution-induced systemic inflammation and oxidative stress are hypothesized to be the major biological mechanisms underlying pathological outcomes. We examined the association between short-term exposure to ambient air pollutants and biomarkers of inflammation and oxidative stress in 2199 general middle-aged Korean population residing in metropolitan areas. METHODS Serum levels of inflammatory cytokines (interleukin [IL]-1β, IL-6, IL-8, IL-10, and tumor necrosis factor [TNF]-α) and urinary levels of 8-hydroxy-2'-deoxyguanosine (8-OHdG) were measured. Daily concentrations of a series of air pollutants (particulate matter [PM]10, PM2.5, SO2, NO2, CO, and O3) were predicted using the Community Multiscale Air Quality modeling system, and participant-level pollutant exposure was determined using geocoded residential addresses. Short-term exposure was defined as the 1- to 7-day moving averages. RESULTS The multivariable-adjusted linear models controlling for the sociodemographic, lifestyle, temporal, and meteorological factors identified positive associations of PM with IL-1β, IL-8, IL-10, TNF-α, and 8-OHdG levels; SO2 with IL-10 levels, CO with IL-1β, IL-10, and TNF-α levels; and O3 with IL-1β, IL-8, and 8-OHdG levels. O3 levels were inversely associated with IL-10 levels. For each pollutant, the strongest associations were observed for the 7-day average PM and CO with IL-1β (per 10-µg/m3 increase in PM10: 2.7%, 95% confidence interval [CI] = 0.6-4.8; per 10-µg/m3 increase in PM2.5: 6.4%, 95% CI = 2.4-10.5; per 0.1-ppm increase in CO: 3.3%, 95% CI = 0.3-6.5); the 2-day average SO2 with IL-10 levels (per 1-ppb increase in SO2: 1.1%, 95% CI = 0.1-2.1); and the 7-day average O3 with IL-8 levels (per 1-ppb increase in O3: 1.3%, 95% CI = 0.7-1.9). CONCLUSIONS Short-term exposure to ambient air pollutants may induce oxidative damage and pro-inflammatory roles, together with counter-regulatory anti-inflammatory response.
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Affiliation(s)
- Ji Hyun Kim
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, 200 Osongsaengmyeong2-ro, Osong-eup, Heungdeok-gu, Cheongju-si 28160, Chungcheongbuk-do, Republic of Korea
| | - Hae Dong Woo
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, 200 Osongsaengmyeong2-ro, Osong-eup, Heungdeok-gu, Cheongju-si 28160, Chungcheongbuk-do, Republic of Korea
| | - Jane J Lee
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, 200 Osongsaengmyeong2-ro, Osong-eup, Heungdeok-gu, Cheongju-si 28160, Chungcheongbuk-do, Republic of Korea
| | - Dae Sub Song
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, 200 Osongsaengmyeong2-ro, Osong-eup, Heungdeok-gu, Cheongju-si 28160, Chungcheongbuk-do, Republic of Korea
| | - Kyoungho Lee
- Division of Population Health Research, Department of Precision Medicine, Korea National Institute of Health, Korea Disease Control and Prevention Agency, 200 Osongsaengmyeong2-ro, Osong-eup, Heungdeok-gu, Cheongju-si 28160, Chungcheongbuk-do, Republic of Korea
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15
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Wang Z, Zhou Y, Xiao X, Liu A, Wang S, Preston RJS, Zaytseva YY, He G, Xiao W, Hennig B, Deng P. Inflammation and cardiometabolic diseases induced by persistent organic pollutants and nutritional interventions: Effects of multi-organ interactions. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 339:122756. [PMID: 37844865 PMCID: PMC10842216 DOI: 10.1016/j.envpol.2023.122756] [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: 08/18/2023] [Revised: 10/11/2023] [Accepted: 10/13/2023] [Indexed: 10/18/2023]
Abstract
The development and outcome of inflammatory diseases are associated with genetic and lifestyle factors, which include chemical and nonchemical stressors. Persistent organic pollutants (POPs) are major groups of chemical stressors. For example, dioxin-like polychlorinated biphenyls (PCBs), per- and polyfluoroalkyl substances (PFASs), and polybrominated diphenyl ethers (PBDEs) are closely associated with the incidence of inflammatory diseases. The pathology of environmental chemical-mediated inflammatory diseases is complex and may involve disturbances in multiple organs, including the gut, liver, brain, vascular tissues, and immune systems. Recent studies suggested that diet-derived nutrients (e.g., phytochemicals, vitamins, unsaturated fatty acids, dietary fibers) could modulate environmental insults and affect disease development, progression, and outcome. In this article, mechanisms of environmental pollutant-induced inflammation and cardiometabolic diseases are reviewed, focusing on multi-organ interplays and highlighting recent advances in nutritional strategies to improve the outcome of cardiometabolic diseases associated with environmental exposures. In addition, advanced system biology approaches are discussed, which present unique opportunities to unveil the complex interactions among multiple organs and to fuel the development of precision intervention strategies in exposed individuals.
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Affiliation(s)
- Zhongmin Wang
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China; Irish Centre for Vascular Biology, School of Pharmacy & Biomolecular Sciences, Royal College of Surgeons in Ireland, Ireland
| | - Yixuan Zhou
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Xia Xiao
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Aowen Liu
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Shengnan Wang
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Roger J S Preston
- Irish Centre for Vascular Biology, School of Pharmacy & Biomolecular Sciences, Royal College of Surgeons in Ireland, Ireland
| | - Yekaterina Y Zaytseva
- Superfund Research Center, University of Kentucky, Lexington, KY, USA; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY, USA
| | - Guangzhao He
- Department of Pharmacy, Changzhou Cancer Hospital, Soochow University, Changzhou, Jiangsu, China
| | - Wenjin Xiao
- Department of Endocrinology, Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Bernhard Hennig
- Superfund Research Center, University of Kentucky, Lexington, KY, USA; Department of Animal and Food Sciences, College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY, USA
| | - Pan Deng
- Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu, China.
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Liu J, Zhao K, Qian T, Li X, Yi W, Pan R, Huang Y, Ji Y, Su H. Association between ambient air pollution and thyroid hormones levels: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166780. [PMID: 37660827 DOI: 10.1016/j.scitotenv.2023.166780] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/12/2023] [Accepted: 08/31/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Growing studies have focused on the effects of ambient air pollution on thyroid hormones (THs), but the results were controversial. Therefore, a systematic review and meta-analysis was conducted by pooling current evidence on this association. METHODS Four databases were searched for studies examining the associations of particulate matter [diameter ≤10 μm (PM10) or ≤2.5 μm (PM2.5)] and gaseous [sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), carbon monoxide (CO)] pollutants with THs levels. Random effects models were used to pool the changes in THs levels with increasing air pollutant concentrations. Subgroup analyses were constructed by region, design, sample size, pollutant concentrations, evaluated methods, and potential risk exposure windows. RESULTS A total of 14 studies covering 357,226 participants were included in this meta-analysis. The pooled results showed significant associations of exposure to PM2.5, PM10, NO2, SO2, and CO with decreases in free thyroxine (FT4) with percent changes (PC) ranging from -0.593 % to -3.925 %. PM2.5, NO2, and CO were negatively associated with levels of FT4/FT3 (PC: from -0.604 % to -2.975 %). In addition, results showed significant associations of PM2.5 with hypothyroxinemia and high thyroid-stimulating hormone (TSH). Subgroup analyses indicated that PM2.5 and NO2 were significantly associated with FT4 in studies of Chinese, and similar significant findings were found in studies of PM2.5 and FT4/FT3 in areas with higher concentrations of air pollutants and larger samples. PM2.5 exposure in the first trimester was found to be associated with lower FT4 levels in pregnant women. CONCLUSION Our findings suggest that exposure to air pollution is associated with changes in THs levels. Enhanced management of highly polluted areas, identification of harmful components and sources of PM, and protection from harmful exposures in early pregnancy may be of great public health importance for the population's thyroid function.
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Affiliation(s)
- Jintao Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Kefu Zhao
- Hefei Center for Disease Control and Prevention, Hefei, Anhui, China
| | - Tingting Qian
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Xuanxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Yuee Huang
- School of Public Health, Wannan Medical College, Wuhu, Anhui, China
| | - Yifu Ji
- Anhui Mental Health Center, Hefei, Anhui, China.
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China.
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Fu Z, Ma Y, Yang C, Liu Q, Liang J, Weng Z, Li W, Zhou S, Chen X, Xu J, Xu C, Huang T, Zhou Y, Gu A. Association of air pollution exposure and increased coronary artery disease risk: the modifying effect of genetic susceptibility. Environ Health 2023; 22:85. [PMID: 38062446 PMCID: PMC10704645 DOI: 10.1186/s12940-023-01038-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023]
Abstract
BACKGROUND Both genetic factors and air pollution are risk factors for coronary artery disease (CAD), but their combined effects on CAD are uncertain. The study aimed to comprehensively investigate their separate, combined and interaction effects on the onset of CAD. METHODS We utilized data from the UK Biobank with a recruitment of 487,507 participants who were free of CAD at baseline from 2006 to 2010. We explored the separate, combined effect or interaction association among genetic factors, air pollution and CAD with the polygenic risk score (PRS) and Cox proportional hazard models. RESULTS The hazard ratios (HRs) [95% confidence interval (CI)] of CAD for 10-µg/m3 increases in PM2.5, NO2 and NOx concentrations were 1.25 (1.09, 1.44), 1.03 (1.01, 1.05) and 1.01 (1.00, 1.02), respectively. Participants with high PRS and air pollution exposure had a higher risk of CAD than those with the low genetic risk and low air pollution exposure, and the HRs (95% CI) of CAD in the PM2.5, PM10, NO2 and NOx high joint exposure groups were 1.56 (1.48, 1.64), 1.55(1.48, 1.63), 1.57 (1.49, 1.65), and 1.57 (1.49, 1.65), respectively. Air pollution and genetic factors exerted significant additive effects on the development of CAD (relative excess risk due to the interaction [RERI]: 0.12 (0.05, 0.19) for PM2.5, 0.17 (0.10, 0.24) for PM10, 0.14 (0.07, 0.21) for NO2, and 0.17 (0.10, 0.24) for NOx; attributable proportion due to the interaction [AP]: 0.09 (0.04, 0.14) for PM2.5, 0.12 (0.07, 0.18) for PM10, 0.11 (0.06, 0.16) for NO2, and 0.13 (0.08, 0.18) for NOx). CONCLUSION Exposure to air pollution was significantly related to an increased CAD risk, which could be further strengthened by CAD gene susceptibility. Additionally, there were positive additive interactions between genetic factors and air pollution on the onset of CAD. This can provide a more comprehensive, precise and individualized scientific basis for the risk assessment, prevention and control of CAD.
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Affiliation(s)
- Zuqiang Fu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
- School of Public Health, Southeast University, 101 Longmian Avenue, Nanjing, 211166, China
| | - Yuanyuan Ma
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Changjie Yang
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Qian Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Jingjia Liang
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Zhenkun Weng
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Wenxiang Li
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Shijie Zhou
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Xiu Chen
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Jin Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China
- Department of Maternal, Child, and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Cheng Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China.
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China.
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
| | - Yong Zhou
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, No. 320 Yueyang Road, Shanghai, 200031, China.
| | - Aihua Gu
- State Key Laboratory of Reproductive Medicine and Offspring Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
- Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Nanjing Medical University, Nanjing, China.
- Department of Toxicology, Center for Global Health, Nanjing Medical University, Nanjing, China.
- School of Public Health, Southeast University, 101 Longmian Avenue, Nanjing, 211166, China.
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Zu P, Zhou L, Yin W, Zhang L, Wang H, Xu J, Jiang X, Zhang Y, Tao R, Zhu P. Association between exposure to air pollution during preconception and risk of gestational diabetes mellitus: The role of anti-inflammatory diet. ENVIRONMENTAL RESEARCH 2023; 235:116561. [PMID: 37479213 DOI: 10.1016/j.envres.2023.116561] [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: 04/19/2023] [Revised: 06/13/2023] [Accepted: 07/04/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Regarding the association between the sensitive time-windows of air pollution (AP) exposure and gestational diabetes mellitus (GDM), epidemiological findings are inconsistent. The dietary inflammatory potential has been implicated in the development of GDM, but it is unclear whether an anti-inflammatory diet during pregnancy reduces the association between AP and GDM. OBJECTIVE We aimed to characterize the sensitive time-windows of AP to GDM risk. Further, to verify whether a maternal anti-inflammatory diet can reduce the risk of AP-induced GDM, by inhibiting inflammation. METHODS A total of 8495 pregnant women were included between 2015 and 2021 in the Maternal & Infants Health in Hefei study. Weekly mean AP exposure to fine particles (PM2.5 and PM10), SO2, and NO2 was estimated from the data of Hefei City Ecology and Environment Bureau. High-sensitivity C-reactive protein (hs-CRP) concentrations were measured to evaluate systemic inflammation. The empirical dietary inflammatory pattern (EDIP) score based on a validated food frequency questionnaire was used to assess the dietary inflammatory potential of pregnant women. Logistic regression models with distributed lags were used to identify the sensitive time-window for the effect of AP on GDM. Mediation analysis estimated the mediated effect of hs-CRP, linking AP with GDM. Stratified analysis was used to investigate the potential effect of anti-inflammatory diet on GDM risk. RESULTS The increased risks of GDM were found to be positively associated with exposure to PM2.5 (OR = 1.11, 95% CI:1.07-1.15), PM10 (OR = 1.12, 95% CI:1.09-1.16), and SO2 (OR = 1.42, 95% CI:1.25-1.60) by distributed lag models, and the critical exposure windows were 21st to 28th weeks of preconception. The proportion of association between PM2.5, PM10, and SO2 with GDM mediated by hs-CRP was 25.9%, 21.1%, and 19.4%, respectively, according to mediation analysis. In the stratified analyses by EDIP, the association between AP and GDM was not statistically significant among women those with anti-inflammatory diets. CONCLUSIONS Exposure to AP, especially in 21st to 28th week of preconception, is associated with risk of GDM, which is partly mediated by hs-CRP. Adherence to the anti-inflammatory dietary pattern may reduce the risk of AP-induced GDM.
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Affiliation(s)
- Ping Zu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenic, Anhui Medical University, Hefei, China
| | - Liqi Zhou
- Department of Data Science/ Data Science and Big Data Technology, Shanghai University of International Business and Economics, Shanghai, China
| | - Wanjun Yin
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenic, Anhui Medical University, Hefei, China
| | - Lei Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenic, Anhui Medical University, Hefei, China
| | - Haixia Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenic, Anhui Medical University, Hefei, China
| | - Jirong Xu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenic, Anhui Medical University, Hefei, China
| | - Xiaomin Jiang
- Department of Obstetrics and Gynecology, Anhui Women and Child Health Care Hospital, Hefei, China
| | - Ying Zhang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ruixue Tao
- Department of Gynecology and Obstetrics, Hefei First People's Hospital, Hefei, China
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenic, Anhui Medical University, Hefei, China.
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Patterson WB, Holzhausen E, Chalifour B, Goodrich J, Costello E, Lurmann F, Conti DV, Chen Z, Chatzi L, Alderete TL. Exposure to ambient air pollutants, serum miRNA networks, lipid metabolism, and non-alcoholic fatty liver disease in young adults. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 264:115486. [PMID: 37729806 PMCID: PMC10548742 DOI: 10.1016/j.ecoenv.2023.115486] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/30/2023] [Accepted: 09/13/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND AND AIM Ambient air pollution (AAP) exposure has been associated with altered blood lipids and liver fat in young adults. MicroRNAs regulate gene expression and may mediate these relationships. This work investigated associations between AAP exposure, serum microRNA networks, lipid profiles, and non-alcoholic fatty liver disease (NAFLD) risk in young adults. METHODS Participants were 170 young adults (17-22 years) from the Meta-AIR cohort of the Children's Health Study (CHS). Residential AAP exposure (PM2.5, PM10, NO2, 8-hour maximum O3, redox-weighted oxidative capacity [Oxwt]) was spatially interpolated from monitoring stations via inverse-distance-squared weighting. Fasting serum lipids were assayed. Liver fat was imaged by MRI and NAFLD was defined by ≥ 5.5% hepatic fat fraction. Serum microRNAs were measured via NanoString and microRNA networks were constructed by weighted gene correlation network analysis. The first principal component of each network represented its expression profile. Multivariable mixed effects regression models adjusted for sociodemographic, behavioral, and clinical covariates; baseline CHS town code was a random effect. Effects estimates are scaled to one standard deviation of exposure. Mediation analysis explored microRNA profiles as potential mediators of exposure-outcome associations. DIANA-mirPATH identified overrepresented gene pathways targeted by miRNA networks. RESULTS Prior-month Oxwt was associated with NAFLD (OR=3.45; p = 0.003) and inversely associated with microRNA Network A (β = -0.016; p = 0.026). Prior-year NO2 was associated with non-HDL-cholesterol (β = 7.13; p = 0.01) and inversely associated with miRNA Network A (β = -0.019; p = 0.022). Network A expression was inversely associated with NAFLD (OR=0.35; p = 0.010) and non-HDL-C (β = -6.94 mg/dL; p = 0.035). Network A members miR-199a/b-3p and miR-130a, which both target fatty acid synthase, mediated 21% of the association between prior-month Oxwt exposure with NAFLD (p = 0.048) and 23.3% of the association between prior-year NO2 exposure and non-HDL-cholesterol (p = 0.026), respectively. CONCLUSIONS Exposure to AAP may contribute to adverse lipid profiles and NAFLD risk among young adults via altered expression of microRNA profiles.
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Affiliation(s)
- William B Patterson
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Elizabeth Holzhausen
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Bridget Chalifour
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Jesse Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Elizabeth Costello
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | | | - David V Conti
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Lida Chatzi
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA
| | - Tanya L Alderete
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA.
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Zhang P, Zhou C, Zhao K, Liu C, Liu C, He F, Peng W, Jia X, Mi J. Associations of air pollution and greenness with global burden of breast cancer: an ecological study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:103921-103931. [PMID: 37697184 DOI: 10.1007/s11356-023-29579-2] [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: 05/29/2023] [Accepted: 08/25/2023] [Indexed: 09/13/2023]
Abstract
Despite the significance of the associations of air pollution and greenness with the risk of breast cancer, this topic has not been investigated on a global scale. We conducted an ecological study using 7 years of data from 162 countries. Disability-adjusted life years (DALYs) and incidence data were used to represent the breast cancer disease burden. Particulate matter with a diameter < 2.5 μm (PM2.5), ozone (O3), nitrogen dioxide (NO2), and the normalized difference vegetation index (NDVI) were adopted as our exposures. We employed generalized linear mixed models to explore the relationship between air pollution and greenness on breast cancer disease burden. The rate ratio (RR) and its 95% confidence interval (CI) indicate the effect size. There is a positive association between air pollution and the burden of breast cancer disease. Contrarily, per interquartile range increment in NDVI was negatively associated with DALYs and incidence. In terms of air pollutants and breast cancer, NDVI seems to have a significant influence on the relationship between these two conditions. A higher amount of greenness helps to alleviate the negative association of air pollution on breast cancer. PM2.5 and O3 play a mediating role in the relationship between greenness and breast cancer disease burden. In areas with higher levels of greenness, there is a possibility that the inverse association between air pollutants and the burden of breast cancer may be influenced.
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Affiliation(s)
- Peiyao Zhang
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Bengbu, 233000, China
| | - Cheng Zhou
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Bengbu, 233000, China
| | - Ke Zhao
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Bengbu, 233000, China
| | - Chengrong Liu
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Bengbu, 233000, China
| | - Chao Liu
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Bengbu, 233000, China
| | - Fenfen He
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Bengbu, 233000, China
| | - Wenjia Peng
- School of Public Health, Fudan University, Shanghai, China
| | - Xianjie Jia
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Bengbu, 233000, China
| | - Jing Mi
- Department of Epidemiology and Statistics, School of Public Health, Bengbu Medical College, No. 2600 Donghai Avenue, Bengbu, 233000, China.
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Sangaramoorthy M, Yang J, Tseng C, Wu J, Ritz B, Larson TV, Fruin S, Stram DO, Park SSL, Franke AA, Wilkens LR, Samet JM, Le Marchand L, Shariff-Marco S, Haiman CA, Wu AH, Cheng I. Particulate matter, traffic-related air pollutants, and circulating C-reactive protein levels: The Multiethnic Cohort Study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 332:121962. [PMID: 37277070 PMCID: PMC10870935 DOI: 10.1016/j.envpol.2023.121962] [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: 03/04/2023] [Revised: 06/01/2023] [Accepted: 06/02/2023] [Indexed: 06/07/2023]
Abstract
Inhaled particles and gases can harm health by promoting chronic inflammation in the body. Few studies have investigated the relationship between outdoor air pollution and inflammation by race and ethnicity, socioeconomic status, and lifestyle risk factors. We examined associations of particulate matter (PM) and other markers of traffic-related air pollution with circulating levels of C-reactive protein (CRP), a biomarker of systemic inflammation. CRP was measured from blood samples obtained in 1994-2016 from 7,860 California residents participating in the Multiethnic Cohort (MEC) Study. Exposure to PM (aerodynamic diameter ≤2.5 μm [PM2.5], ≤10 μm [PM10], and between 2.5 and 10 μm [PM10-2.5]), nitrogen oxides (NOx, including nitrogen dioxide [NO2]), carbon monoxide (CO), ground-level ozone (O3), and benzene averaged over one or twelve months before blood draw were estimated based on participants' addresses. Percent change in geometric mean CRP levels and 95% confidence intervals (CI) per standard concentration increase of each pollutant were estimated using multivariable generalized linear regression. Among 4,305 females (55%) and 3,555 males (45%) (mean age 68.1 [SD 7.5] years at blood draw), CRP levels increased with 12-month exposure to PM10 (11.0%, 95% CI: 4.2%, 18.2% per 10 μg/m3), PM10-2.5 (12.4%, 95% CI: 1.4%, 24.5% per 10 μg/m3), NOx (10.4%, 95% CI: 2.2%, 19.2% per 50 ppb), and benzene (2.9%, 95% CI: 1.1%, 4.6% per 1 ppb). In subgroup analyses, these associations were observed in Latino participants, those who lived in low socioeconomic neighborhoods, overweight or obese participants, and never or former smokers. No consistent patterns were found for 1-month pollutant exposures. This investigation identified associations of primarily traffic-related air pollutants, including PM, NOx, and benzene, with CRP in a multiethnic population. The diversity of the MEC across demographic, socioeconomic, and lifestyle factors allowed us to explore the generalizability of the effects of air pollution on inflammation across subgroups.
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Affiliation(s)
- Meera Sangaramoorthy
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Juan Yang
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Chiuchen Tseng
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, CA, USA
| | - Beate Ritz
- Department of Epidemiology, School of Public Health, University of California, Los Angeles, CA, USA
| | - Timothy V Larson
- Department of Civil & Environmental Engineering, University of Washington, Seattle, WA, USA
| | - Scott Fruin
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Daniel O Stram
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sung-Shim Lani Park
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Adrian A Franke
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Lynne R Wilkens
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jonathan M Samet
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Loïc Le Marchand
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Christopher A Haiman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Anna H Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, School of Medicine, University of California San Francisco, San Francisco, CA, USA.
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Zhu K, Hou Z, Huang C, Xu M, Mu L, Yu G, Kaufman JD, Wang M, Lu B. Assessing the timing and the duration of exposure to air pollution on cardiometabolic biomarkers in patients suspected of coronary artery disease. ENVIRONMENTAL RESEARCH 2023; 232:116334. [PMID: 37301499 PMCID: PMC10976318 DOI: 10.1016/j.envres.2023.116334] [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: 04/18/2023] [Revised: 05/28/2023] [Accepted: 06/04/2023] [Indexed: 06/12/2023]
Abstract
Air pollution can affect cardiometabolic biomarkers in susceptible populations, but the most important exposure window (lag days) and exposure duration (length of averaging period) are not well understood. We investigated air pollution exposure across different time intervals on ten cardiometabolic biomarkers in 1550 patients suspected of coronary artery disease. Daily residential PM2.5 and NO2 were estimated using satellite-based spatiotemporal models and assigned to participants for up to one year before the blood collection. Distributed lag models and generalized linear models were used to examine the single-day-effects by variable lags and cumulative effects of exposures averaged over different periods before the blood draw. In single-day-effect models, PM2.5 was associated with lower apolipoprotein A (ApoA) in the first 22 lag days with the effect peaking on the first lag day; PM2.5 was also associated with elevated high-sensitivity C-reactive protein (hs-CRP) with significant exposure windows observed after the first 5 lag days. For the cumulative effects, short- and medium-term exposure was associated with lower ApoA (up to 30wk-average) and higher hs-CRP (up to 8wk-average), triglycerides and glucose (up to 6 d-average), but the associations were attenuated to null over the long term. The impacts of air pollution on inflammation, lipid, and glucose metabolism differ by the exposure timing and durations, which can inform our understanding of the cascade of underlying mechanisms among susceptible patients.
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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
| | - Zhihui Hou
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Conghong Huang
- 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; College of Land Management, Nanjing Agricultural University, Nanjing, China
| | - Muwu Xu
- 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
| | - Guan Yu
- Department of Biostatistics, University of Pittsburgh, PA, USA
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, USA
| | - Meng Wang
- 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; Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, USA; Research and Education in Energy, Environment and Water Institute, University at Buffalo, Buffalo, NY, USA.
| | - Bin Lu
- Department of Radiology, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China.
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Duque-Cartagena T, Mundstock E, Dala Bernardina Dalla M, Vontobel Padoin A, Cañon-Montañez W, Mattiello R. The role of environmental pollutants in body composition: Systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2023; 228:115840. [PMID: 37024033 DOI: 10.1016/j.envres.2023.115840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 03/31/2023] [Accepted: 04/03/2023] [Indexed: 05/16/2023]
Abstract
The effects of environmental pollution are associated with higher rates of mortality, morbidity, and years of life lost. It is known that these produce alterations in the human body, including changes in body composition. Research has focused on the association between contaminants and BMI through cross-sectional studies. The objective of this study was to synthesize the evidence for the association of pollutants on different measures of body composition. The PECOS strategy was defined, in which "P": participants of any age, sex, or ethnicity, "E": a higher level of environmental pollution, "C": a lower level of environmental pollution, "O": body composition measurements and "S": longitudinal studies. Studies from the following databases were included: MEDLINE, EMBASE, SciELO, LILACS, Scopus, Web of Science, SPORTDiscus, and gray literature from inception to January 2023.3069 studies were identified, 18 were included in the systematic review, and 13 in the meta-analysis. These studies included 8.563 people, 47 environmental contaminants, and 16 measures of body composition. The meta-analysis by subgroup found that the association between dioxins, furans, PCBs, and waist circumference was β = 1.0 (95% CI: 0.85 to 1.16; I2: 95%), and the sum of four skinfolds β = 1.02 (95% CI: 0.88 to 1.16; I2: 24%). The association between pesticides and waist circumference was β = 1.00 (95% CI: 0.68 to 1.32; I2: 98%), and the fat mass was β = 0.99 (95% CI: 0.17 to 1.81; I2: 94%). Pollutants, especially endocrine-disrupting chemicals, among which dioxins, furans, PCBs, and pesticides, are associated with changes in body composition, mainly with waist circumference and the sum of four skinfolds.
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Affiliation(s)
- Tatiana Duque-Cartagena
- Pontifical Catholic University of Rio Grande Do Sul (PUCRS), School of Medicine, Post-Graduate Program in Medicine and Health Sciences, Porto Alegre, RS, Brazil
| | - Eduardo Mundstock
- Pontifical Catholic University of Rio Grande Do Sul (PUCRS), School of Medicine, Post-Graduate Program in Medicine and Health Sciences, Porto Alegre, RS, Brazil; Department of Education, Sport and Leisure of Canela, Canela, RS, Brazil
| | - Marcello Dala Bernardina Dalla
- Cassiano Antônio de Moraes University Hospital, Universidade Federal Do Espírito Santo (HUCAM/UFES), Vitória, ES, Brazil; Capixaba Institute for Teaching Research and Innovation of the State Health Department of Espirito Santo (ICEPI-SESA), Vitória, ES, Brazil
| | - Alexandre Vontobel Padoin
- Pontifical Catholic University of Rio Grande Do Sul (PUCRS), School of Medicine, Post-Graduate Program in Medicine and Health Sciences, Porto Alegre, RS, Brazil
| | | | - Rita Mattiello
- Universidade Federal Do Rio Grande Do Sul, Graduate Program in Epidemiology, Porto Alegre, RS, Brazil.
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24
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Kao CM, Chen YM, Huang WN, Chen YH, Chen HH. Association between air pollutants and initiation of biological therapy in patients with ankylosing spondylitis: a nationwide, population-based, nested case-control study. Arthritis Res Ther 2023; 25:75. [PMID: 37147678 PMCID: PMC10161550 DOI: 10.1186/s13075-023-03060-4] [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: 03/09/2023] [Accepted: 04/29/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND Outdoor air pollution has been found to trigger systemic inflammatory responses and aggravate the activity of certain rheumatic diseases. However, few studies have explored the influence of air pollution on the activity of ankylosing spondylitis (AS). As patients with active AS in Taiwan can be reimbursed through the National Health Insurance programme for biological therapy, we investigated the association between air pollutants and the initiation of reimbursed biologics for active AS. METHODS Since 2011, hourly concentrations of ambient air pollutants, including PM2.5, PM10, NO2, CO, SO2, and O3, have been estimated in Taiwan. Using Taiwanese National Health Insurance Research Database, we identified patients with newly diagnosed AS from 2003 to 2013. We selected 584 patients initiating biologics from 2012 to 2013 and 2336 gender-, age at biologic initiation-, year of AS diagnosis- and disease duration-matched controls. We examined the associations of biologics initiation with air pollutants exposure within 1 year prior to biologic use whilst adjusting for potential confounders, including disease duration, urbanisation level, monthly income, Charlson comorbidity index (CCI), uveitis, psoriasis and the use of medications for AS. Results are shown as adjusted odds ratio (aOR) with 95% confidence intervals (CIs). RESULTS The initiation of biologics was associated with exposure to CO (per 1 ppm) (aOR, 8.57; 95% CI, 2.02-36.32) and NO2 (per 10 ppb) (aOR, 0.23; 95% CI, 0.11-0.50). Other independent predictors included disease duration (incremental year, aOR, 8.95), CCI (aOR, 1.31), psoriasis (aOR, 25.19), use of non-steroidal anti-inflammatory drugs (aOR, 23.66), methotrexate use (aOR, 4.50; 95% CI, 2.93-7.00), sulfasalazine use (aOR, 12.16; 95% CI, 8.98-15.45) and prednisolone equivalent dosages (mg/day, aOR, 1.12). CONCLUSIONS This nationwide, population-based study revealed the initiation of reimbursed biologics was positively associated with CO levels, but negatively associated with NO2 levels. Major limitations included lack of information on individual smoking status and multicollinearity amongst air pollutants.
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Affiliation(s)
- Chung-Mao Kao
- Division of Allergy, Immunology, and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, No.1650, Sec.4, Taiwan Boulevard, Taichung, 40705, Taiwan
- Division of Translational Medicine, Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yi-Ming Chen
- Division of Allergy, Immunology, and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, No.1650, Sec.4, Taiwan Boulevard, Taichung, 40705, Taiwan
- Division of Translational Medicine, Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Wen-Nan Huang
- Division of Allergy, Immunology, and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, No.1650, Sec.4, Taiwan Boulevard, Taichung, 40705, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Department of Business Administration, Ling-Tung University, Taichung, Taiwan
| | - Yi-Hsing Chen
- Division of Allergy, Immunology, and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, No.1650, Sec.4, Taiwan Boulevard, Taichung, 40705, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Hsin-Hua Chen
- Division of Allergy, Immunology, and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, No.1650, Sec.4, Taiwan Boulevard, Taichung, 40705, Taiwan.
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan.
- Institute of Biomedical Science and Rong Hsing Research Center for Translational Medicine, National Chung Hsing University, Taichung, Taiwan.
- Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, Taiwan.
- Institute of Public Health and Community Medicine Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Big Data Center, National Chung Hsing University, Taichung, Taiwan.
- Division of General Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
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25
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Li YZ, Huang SH, Shi S, Chen WX, Wei YF, Zou BJ, Yao W, Zhou L, Liu FH, Gao S, Yan S, Qin X, Zhao YH, Chen RJ, Gong TT, Wu QJ. Association of long-term particulate matter exposure with all-cause mortality among patients with ovarian cancer: A prospective cohort. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 884:163748. [PMID: 37120017 DOI: 10.1016/j.scitotenv.2023.163748] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 04/19/2023] [Accepted: 04/22/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND Evidence of the association between particles with a diameter of 2.5 μm or less (PM2.5) in long term and ovarian cancer (OC) mortality is limited. METHODS This prospective cohort study analyzed data collected between 2015 and 2020 from 610 newly diagnosed OC patients, aged 18-79 years. The residential average PM2.5 concentrations 10 years before the date of OC diagnosis were assessed by random forest models at a 1 km × 1 km resolution. Cox proportional hazard models fully adjusted for the covariates (including age at diagnosis, education, physical activity, kitchen ventilation, FIGO stage, and comorbidities) and distributed lag non-linear models were used to estimate the hazard ratios (HRs) and 95 % confidence intervals (CIs) of PM2.5 and all-cause mortality of OC. RESULTS During a median follow-up of 37.6 months (interquartile: 24.8-50.5 months), 118 (19.34 %) deaths were confirmed among 610 OC patients. One-year PM2.5 exposure levels before OC diagnosis was significantly associated with an increase in all-cause mortality among OC patients (single-pollutant model: HR = 1.22, 95 % CI: 1.02-1.46; multi-pollutant models: HR = 1.38, 95 % CI: 1.10-1.72). Furthermore, during 1 to 10 years prior to diagnosis, the lag-specific effect of long-term PM2.5 exposure on the all-cause mortality of OC had a risk increase for lag 1-6 years, and the exposure-response relationship was linear. Of note, significant interactions between several immunological indicators as well as solid fuel use for cooking and ambient PM2.5 concentrations were observed. CONCLUSION Higher ambient PM2.5 concentrations were associated with an increased risk of all-cause mortality among OC patients, and there was a lag effect in long-term PM2.5 exposure.
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Affiliation(s)
- Yi-Zi Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shu-Hong Huang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Su Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Wen-Xiao Chen
- Department of Sports Medicine and Joint Surgery, The People's Hospital of Liaoning Province, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Bing-Jie Zou
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Wei Yao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Lu Zhou
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shi Yan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ren-Jie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Reproductive and Genetic Medicine (China Medical University), National Health Commission, Shenyang, China.
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Li J, Liu F, Liang F, Yang Y, Lu X, Gu D. Air pollution exposure and vascular endothelial function: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:28525-28549. [PMID: 36702984 DOI: 10.1007/s11356-023-25156-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 01/02/2023] [Indexed: 06/18/2023]
Abstract
Vascular endothelial dysfunction is an early stage to cardiovascular diseases (CVDs), but whether air pollution exposure has an effect on it remains unknown. We conducted a systematic review and meta-analysis to summarize epidemiological evidence between air pollution and endothelial dysfunction. We searched the database of PubMed, EMBASE, the Cochrane Library, and Web of Science up to November 10, 2022. Fixed and random effect models were used to pool the effect change or percent change (% change) and 95% confidence interval (95% CI) of vascular function associated with particulate matter (PM) and gaseous pollutants. I2 statistics, funnel plot, and Egger's test were used to evaluate heterogeneity and publication bias. There were 34 articles included in systematic review, and 25 studies included in meta-analysis. For each 10 µg/m3 increment in short-term PM2.5 exposure, augmentation index (AIx) and pulse wave velocity (PWV) increased by 2.73% (95% CI: 1.89%, 3.57%) and 0.56% (95% CI: 0.22%, 0.89%), and flow-mediated dilation (FMD) decreased by 0.17% (95% CI: - 0.33%, - 0.00%). For each 10 µg/m3 increment in long-term PM2.5 exposure, FMD decreased by 0.99% (95% CI: - 1.41%, - 0.57%). The associations between remaining pollutants and outcomes were not statistically significant. The effect of short-term PM2.5 exposure on FMD change was stronger in population with younger age, lower female proportion, higher mean body mass index and higher PM2.5 exposure. Cardiac or vasoactive medication might attenuate this effect. Our study provides evidence that PM2.5 exposure had adverse impact on vascular endothelial function, indicating the importance of air quality improvement for early CVD prevention.
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Affiliation(s)
- Jinyue Li
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10037, China
| | - Fangchao Liu
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10037, China
| | - Fengchao Liang
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10037, China
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yuxin Yang
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10037, China
| | - Xiangfeng Lu
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10037, China
| | - Dongfeng Gu
- Department of Epidemiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 10037, China.
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China.
- School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, China.
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Brugge D, Li J, Zamore W. On the Need for Human Studies of PM Exposure Activation of the NLRP3 Inflammasome. TOXICS 2023; 11:202. [PMID: 36976967 PMCID: PMC10059209 DOI: 10.3390/toxics11030202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 02/05/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
Particulate matter air pollution is associated with blood inflammatory biomarkers, however, the biological pathways from exposure to periferal inflammation are not well understood. We propose that the NLRP3 inflammasome is likely stimulated by ambient particulate matter, as it is by some other particles and call for more research into this pathway.
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Affiliation(s)
- Doug Brugge
- Department of Public Health Sciences, School of Medicine, University of Connecticut, Farmington, CT 06030, USA
| | - Jianghong Li
- Institute for Community Research, Hartford, CT 06106, USA
| | - Wig Zamore
- Somerville Transportation Equity Partnership, Somerville, MA 02145, USA
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28
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Rehman A, Kumari R, Kamthan A, Tiwari R, Srivastava RK, van der Westhuizen FH, Mishra PK. Cell-free circulating mitochondrial DNA: An emerging biomarker for airborne particulate matter associated with cardiovascular diseases. Free Radic Biol Med 2023; 195:103-120. [PMID: 36584454 DOI: 10.1016/j.freeradbiomed.2022.12.083] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/16/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022]
Abstract
The association of airborne particulate matter exposure with the deteriorating function of the cardiovascular system is fundamentally driven by the impairment of mitochondrial-nuclear crosstalk orchestrated by aberrant redox signaling. The loss of delicate balance in retrograde communication from mitochondria to the nucleus often culminates in the methylation of the newly synthesized strand of mitochondrial DNA (mtDNA) through DNA methyl transferases. In highly metabolic active tissues such as the heart, mtDNA's methylation state alteration impacts mitochondrial bioenergetics. It affects transcriptional regulatory processes involved in biogenesis, fission, and fusion, often accompanied by the integrated stress response. Previous studies have demonstrated a paradoxical role of mtDNA methylation in cardiovascular pathologies linked to air pollution. A pronounced alteration in mtDNA methylation contributes to systemic inflammation, an etiological determinant for several co-morbidities, including vascular endothelial dysfunction and myocardial injury. In the current article, we evaluate the state of evidence and examine the considerable promise of using cell-free circulating methylated mtDNA as a predictive biomarker to reduce the more significant burden of ambient air pollution on cardiovascular diseases.
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Affiliation(s)
- Afreen Rehman
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
| | - Roshani Kumari
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
| | - Arunika Kamthan
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
| | - Rajnarayan Tiwari
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
| | | | | | - Pradyumna Kumar Mishra
- Department of Molecular Biology, ICMR-National Institute for Research in Environmental Health, Bhopal, India.
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29
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Liu H, Ding L, Qu G, Guo X, Liang M, Ma S, Sun Y. Particulate matter exposure during pregnancy and infancy and risks of autism spectrum disorder in children: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 855:158830. [PMID: 36150594 DOI: 10.1016/j.scitotenv.2022.158830] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 07/13/2022] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
PURPOSE This meta-analysis aimed to clarify the relationship between particulate matter (PM) and autism spectrum disorder (ASD) in detail. METHODS A systematic literature search was performed using eight databases before April 9, 2022. The estimated effects were combined separately according to the PM type. Subgroup analyses were conducted in terms of the study design type, study location, exposure window, birth year, and sex. RESULTS PM2.5 was associated with an increased risk of ASD, while PM10 was not. PMc, PM1, and diesel particulate matter (DPM) were also associated with an increased risk of ASD. Specifically, a 10 μg/m3 increase in PM2.5 was associated with a 1.337-fold increased risk of ASD in children, and a 10 μg/m3 increase in PMc and PM1 may increase the risk of ASD by 1.062 and 3.643 times, respectively. PM2.5 exposure may increase the risk of ASD in boys. Exposure to PMc might increase the risk of ASD in children born after the year 2000. The combined results of different PM differed between studies with continuous and non-continuous data for different study design type, study location, and birth year. The sensitive window for PM2.5 exposure to increase the risk of ASD may be from the first, second, and third trimesters to the first year of the postnatal period. Exposure to PMc during pregnancy was significantly associated with ASD. CONCLUSION Exposure to PM2.5 may increase the risk of ASD in boys. Exposure to PM2.5 during the first, second, and third trimesters and postnatally increased the risk of ASD.
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Affiliation(s)
- Haixia Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Liu Ding
- Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China; University of Science and Technology of China, Hefei 230026, Anhui, China
| | - Guangbo Qu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - MingMing Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Shaodi Ma
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Chaohu Hospital, Anhui Medical University, Hefei 238000, Anhui, China; Center for Evidence-Based Practice, Anhui Medical University, Hefei 230032, Anhui, China.
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Feng S, Huang F, Zhang Y, Feng Y, Zhang Y, Cao Y, Wang X. The pathophysiological and molecular mechanisms of atmospheric PM 2.5 affecting cardiovascular health: A review. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 249:114444. [PMID: 38321663 DOI: 10.1016/j.ecoenv.2022.114444] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 12/13/2022] [Accepted: 12/15/2022] [Indexed: 02/08/2024]
Abstract
BACKGROUND Exposure to ambient fine particulate matter (PM2.5, with aerodynamic diameter less than 2.5 µm) is a leading environmental risk factor for global cardiovascular health concern. OBJECTIVE To provide a roadmap for those new to this field, we reviewed the new insights into the pathophysiological and cellular/molecular mechanisms of PM2.5 responsible for cardiovascular health. MAIN FINDINGS PM2.5 is able to disrupt multiple physiological barriers integrity and translocate into the systemic circulation and get access to a range of secondary target organs. An ever-growing body of epidemiological and controlled exposure studies has evidenced a causal relationship between PM2.5 exposure and cardiovascular morbidity and mortality. A variety of cellular and molecular biology mechanisms responsible for the detrimental cardiovascular outcomes attributable to PM2.5 exposure have been described, including metabolic activation, oxidative stress, genotoxicity, inflammation, dysregulation of Ca2+ signaling, disturbance of autophagy, and induction of apoptosis, by which PM2.5 exposure impacts the functions and fates of multiple target cells in cardiovascular system or related organs and further alters a series of pathophysiological processes, such as cardiac autonomic nervous system imbalance, increasing blood pressure, metabolic disorder, accelerated atherosclerosis and plaque vulnerability, platelet aggregation and thrombosis, and disruption in cardiac structure and function, ultimately leading to cardiovascular events and death. Therein, oxidative stress and inflammation were suggested to play pivotal roles in those pathophysiological processes. CONCLUSION Those biology mechanisms have deepen insights into the etiology, course, prevention and treatment of this public health concern, although the underlying mechanisms have not yet been entirely clarified.
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Affiliation(s)
- Shaolong Feng
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin 541199, China; Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou 510640, China; The State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China.
| | - Fangfang Huang
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin 541199, China
| | - Yuqi Zhang
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin 541199, China
| | - Yashi Feng
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin 541199, China
| | - Ying Zhang
- The Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, School of Public Health, Guilin Medical University, Guilin 541199, China
| | - Yunchang Cao
- The Department of Molecular Biology, School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, China
| | - Xinming Wang
- Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou 510640, China; The State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
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Zhao Q, Liu X, Liu Z. The impact of air pollution on physical disability in a middle-aged and older Chinese population using regression discontinuity design. Health Place 2023; 79:102958. [PMID: 36565540 DOI: 10.1016/j.healthplace.2022.102958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/05/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022]
Abstract
Emerging evidence has shown the association between ambient air pollution exposure and comorbid chronic diseases, which can subsequently impair physical function. However, less is known about the causal and contextual effect of air pollution on physical disability. Using data from the China Health and Retirement Longitudinal Study (CHARLS), this study employs a geographical regression discontinuity design based on the Huai River Policy to estimate the impact of ambient air pollution on physical disability in activities of daily living (ADL) in China. We find that a 10 μg/m3 increase in particulate matter [particulate matter smaller than 10 μm (PM10)] leads to a 5.4% increase in the incidence of physical disability among middle-aged and older adults. This result is robust to using alternative measurement of key variables, different bandwidths and polynomial functions, and adjustment for a set of sociodemographic covariates. Stroke might be one of the potential pathological pathways linking air pollution and physical disability, with a 10 μg/m3 increase in PM10 leading to a 4.7% increase in the incidence of stroke. In heterogeneity analyses, we find that older adults, males, urban residents, and people with lower socioeconomic status are more vulnerable to air pollution. These results contribute to the limited evidence on the causal and contextual effect of air pollution on physical health, and further provide policy implications for air quality control and health protection for vulnerable populations.
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Affiliation(s)
- Qi Zhao
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Xiaoting Liu
- School of Public Affairs, Zhejiang University, China; Institute of Wenzhou, Zhejiang University, China.
| | - Zuyun Liu
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, School of Medicine, Zhejiang University, China
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Han S, Zhang F, Yu H, Wei J, Xue L, Duan Z, Niu Z. Systemic inflammation accelerates the adverse effects of air pollution on metabolic syndrome: Findings from the China health and Retirement Longitudinal Study (CHARLS). ENVIRONMENTAL RESEARCH 2022; 215:114340. [PMID: 36108720 DOI: 10.1016/j.envres.2022.114340] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 09/08/2022] [Accepted: 09/10/2022] [Indexed: 06/15/2023]
Abstract
Long-term exposure to air pollution and systemic inflammation are associated with increased prevalence of metabolic syndrome (MetS); however, their joint effects in Chinese middle-aged and older adults is unknown. In this cross-sectional study, 11,838 residents aged 45 years and older from the China Health and Retirement Longitudinal Study (CHARLS) Wave 3 in 2015 were included. MetS was diagnosed using the Joint Interim Societies' definition. C-Reactive Protein (CRP) was assessed to reflect systemic inflammation. Individual exposure to air pollutants (particulate matter with a diameter ≤2.5 μm (PM2.5) or ≤ 10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO)) was evaluated using satellite-based spatiotemporal models according to participant residence at county-level. Generalized linear models (GLMs) were applied to examine the association between air pollution and MetS, and the modification effects of CRP between air pollution and MetS were estimated using interaction terms of CRP and air pollutants in the GLM models. The prevalence of MetS was 32.37%. The adjusted odd ratio (OR) of MetS was 1.192 (95% confidence interval (CI): 1.116, 1.272), 1.177 (95% CI: 1.103, 1.255), 1.158 (95% CI: 1.072, 1.252), 1.303 (95% CI: 1.211,1.403), 1.107 (95% CI: 1.046, 1.171) and 1.156 (95% CI:1.083, 1.234), per inter-quartile range increase in PM2.5 (24.04 μg/m3), PM10 (39.00 μg/m3), SO2 (19.05 μg/m3), NO2 (11.28 μg/m3), O3 (9.51 μg/m3) and CO (0.46 mg/m3), respectively. CRP was also associated with increased prevalence of MetS (OR = 1.049, 95% CI: 1.035, 1.064; per 1.90 mg/L increase in CRP). Interaction analysis suggested that high CRP levels enhanced the association between air pollution exposure and MetS. Long-term exposure to air pollution is associated with increased prevalence of MetS, which might be enhanced by systemic inflammation. Given the rapidly aging society and heavy burden of MetS, measures should be taken to improve air quality and reduce systemic inflammation.
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Affiliation(s)
- Shichao Han
- Department of Urology, Xijing Hospital, The Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, China
| | - Fen Zhang
- Departments of Hepatobiliary Surgery, Xijing Hospital, The Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, China
| | - Hongmei Yu
- Pukou District Center for Disease Control and Prevention, 120 Puyun Road, Nanjing, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA
| | - Lina Xue
- Department of Medical Affairs, Tangdu Hospital, The Fourth Military Medical University, 1 Xinsi Road, Xi'an, China
| | - Zhizhou Duan
- Preventive Health Service, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, 152 Aiguo Road, Nanchang, Jiangxi, China.
| | - Zhiping Niu
- Department of Urology, Xijing Hospital, The Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, China.
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Iyer HS, Hart JE, Fiffer MR, Elliott EG, Yanosky JD, Kaufman JD, Puett RC, Laden F. Impacts of long-term ambient particulate matter and gaseous pollutants on circulating biomarkers of inflammation in male and female health professionals. ENVIRONMENTAL RESEARCH 2022; 214:113810. [PMID: 35798268 PMCID: PMC10234694 DOI: 10.1016/j.envres.2022.113810] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 05/30/2022] [Accepted: 06/30/2022] [Indexed: 05/05/2023]
Abstract
BACKGROUND Systemic inflammation may serve as a biological mechanism linking air pollution to poor health but supporting evidence from studies of long-term pollutant exposure and inflammatory cytokines is inconsistent. OBJECTIVE We studied associations between multiple particulate matter (PM) and gaseous air pollutants and pro- and anti-inflammatory cytokines within two nationwide cohorts of men and women. METHODS Data were obtained from 16,151 women in the Nurses' Health Study and 7,930 men in the Health Professionals' Follow-up Study with at least one measure of circulating adiponectin, C-Reactive Protein (CRP), Interleukin-6 (IL-6) or soluble tumor necrosis-factor receptor-2 (sTNFR-2). Exposure to PM with aerodynamic diameter ≤2.5, 2.5-10, and ≤10 μm (PM2.5, PM2.5-10, PM10) and nitrogen dioxide (NO2) was estimated using spatio-temporal models and were linked to participants' addresses at the time of blood draw. Averages of the 1-, 3-, and 12-months prior to blood draw were examined. Associations between each biomarker and pollutant were estimated from linear regression models adjusted for individual and contextual covariates. RESULTS In adjusted models, we observed a 2.72% (95% CI: 0.43%, 5.95%), 3.11% (-0.12%, 6.45%), and 3.67% (0.19%, 7.26%) increase in CRP associated with a 10 μg/m3 increase in 1-, 3-, and 12- month averaged NO2 in women. Among men, there was a statistically significant 5.96% (95% CI: 0.07%, 12.20%), 6.99% (95% CI: 0.29%, 14.15%), and 8.33% (95% CI: 0.35%, 16.94%) increase in CRP associated with a 10 μg/m3 increase in 1-, 3-, and 12-month averaged PM2.5-10, respectively. Increasing PM2.5-10 was associated with increasing IL-6 and sTNFR-2 among men over shorter exposure durations. There were no associations with exposures to PM2.5 or PM10, or with adiponectin. Findings were robust to sensitivity analyses restricting to disease-free controls and non-movers. CONCLUSIONS Across multiple long-term pollutant exposures and inflammatory markers, associations were generally weak. Focusing on specific pollutant-inflammatory mechanisms may clarify pathways.
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Affiliation(s)
- Hari S Iyer
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, USA.
| | - Jaime E Hart
- Channing Division of Network Medicine, Brigham & Women's Hospital, Boston, USA; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Melissa R Fiffer
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA
| | - Elise G Elliott
- Channing Division of Network Medicine, Brigham & Women's Hospital, Boston, USA; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA; Health Effects Institute, Boston, USA
| | - Jeff D Yanosky
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, USA
| | - Joel D Kaufman
- Department of Epidemiology, University of Washington, Seattle, USA; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, USA
| | - Robin C Puett
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD, USA
| | - Francine Laden
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, USA; Channing Division of Network Medicine, Brigham & Women's Hospital, Boston, USA; Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, USA
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Cheng I, Yang J, Tseng C, Wu J, Shariff-Marco S, Park SSL, Conroy SM, Inamdar PP, Fruin S, Larson T, Setiawan VW, DeRouen MC, Gomez SL, Wilkens LR, Le Marchand L, Stram DO, Samet J, Ritz B, Wu AH. Traffic-related Air Pollution and Lung Cancer Incidence: The California Multiethnic Cohort Study. Am J Respir Crit Care Med 2022; 206:1008-1018. [PMID: 35649154 PMCID: PMC9801994 DOI: 10.1164/rccm.202107-1770oc] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 05/31/2022] [Indexed: 01/07/2023] Open
Abstract
Rationale: Although the contribution of air pollution to lung cancer risk is well characterized, few studies have been conducted in racially, ethnically, and socioeconomically diverse populations. Objectives: To examine the association between traffic-related air pollution and risk of lung cancer in a racially, ethnically, and socioeconomically diverse cohort. Methods: Among 97,288 California participants of the Multiethnic Cohort Study, we used Cox proportional hazards regression to examine associations between time-varying traffic-related air pollutants (gaseous and particulate matter pollutants and regional benzene) and lung cancer risk (n = 2,796 cases; average follow-up = 17 yr), adjusting for demographics, lifetime smoking, occupation, neighborhood socioeconomic status (nSES), and lifestyle factors. Subgroup analyses were conducted for race, ethnicity, nSES, and other factors. Measurements and Main Results: Among all participants, lung cancer risk was positively associated with nitrogen oxide (hazard ratio [HR], 1.15 per 50 ppb; 95% confidence interval [CI], 0.99-1.33), nitrogen dioxide (HR, 1.12 per 20 ppb; 95% CI, 0.95-1.32), fine particulate matter with aerodynamic diameter <2.5 μm (HR, 1.20 per 10 μg/m3; 95% CI, 1.01-1.43), carbon monoxide (HR, 1.29 per 1,000 ppb; 95% CI, 0.99-1.67), and regional benzene (HR, 1.17 per 1 ppb; 95% CI, 1.02-1.34) exposures. These patterns of associations were driven by associations among African American and Latino American groups. There was no formal evidence for heterogeneity of effects by nSES (P heterogeneity > 0.21), although participants residing in low-SES neighborhoods had increased lung cancer risk associated with nitrogen oxides, and no association was observed among those in high-SES neighborhoods. Conclusions: These findings in a large multiethnic population reflect an association between lung cancer and the mixture of traffic-related air pollution and not a particular individual pollutant. They are consistent with the adverse effects of air pollution that have been described in less racially, ethnically, and socioeconomically diverse populations. Our results also suggest an increased risk of lung cancer among those residing in low-SES neighborhoods.
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Affiliation(s)
- Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
- University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Juan Yang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Chiuchen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, Irvine, California
| | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
- University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Sung-shim Lani Park
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Shannon M. Conroy
- Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, California
| | - Pushkar P. Inamdar
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Scott Fruin
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Timothy Larson
- Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington
| | - Veronica W. Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Mindy C. DeRouen
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
- University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Scarlett Lin Gomez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
- University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Lynne R. Wilkens
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Loïc Le Marchand
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Daniel O. Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jonathan Samet
- Department of Epidemiology and
- Department of Environmental and Occupational Health, Colorado School of Public Health, Aurora, Colorado; and
| | - Beate Ritz
- Department of Epidemiology, School of Public Health, University of California, Los Angeles, Los Angeles, California
| | - Anna H. Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
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35
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Kim JH, Woo HD, Choi S, Song DS, Lee JH, Lee K. Long-Term Effects of Ambient Particulate and Gaseous Pollutants on Serum High-Sensitivity C-Reactive Protein Levels: A Cross-Sectional Study Using KoGES-HEXA Data. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191811585. [PMID: 36141854 PMCID: PMC9517608 DOI: 10.3390/ijerph191811585] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 05/23/2023]
Abstract
Ambient air pollutants reportedly increase inflammatory responses associated with multiple chronic diseases. We investigated the effects of long-term exposure to ambient air pollution on high-sensitivity C-reactive protein (hs-CRP) using data from 60,581 participants enrolled in the Korean Genome and Epidemiology Study-Health Examinees Study between 2012 and 2017. Community Multiscale Air Quality System with surface data assimilation was used to estimate the participants' exposure to criteria air pollutants based on geocoded residential addresses. Long-term exposure was defined as the 2-year moving average concentrations of PM10, PM2.5, SO2, NO2, and O3. Multivariable linear and logistic regression models were utilized to estimate the percent changes in hs-CRP and odds ratios of systemic low-grade inflammation (hs-CRP > 3 mg/L) per interquartile range increment in air pollutants. We identified positive associations between hs-CRP and PM10 (% changes: 3.75 [95% CI 2.68, 4.82]), PM2.5 (3.68, [2.57, 4.81]), SO2 (1.79, [1.10, 2.48]), and NO2 (3.31, [2.12, 4.52]), while negative association was demonstrated for O3 (-3.81, [-4.96, -2.65]). Elevated risks of low-grade inflammation were associated with PM10 (odds ratio: 1.07 [95% CI 1.01, 1.13]), PM2.5 (1.08 [1.02, 1.14]), and SO2 (1.05 [1.01, 1.08]). The odds ratios reported indicated that the exposures might be risk factors for inflammatory conditions; however, they did not reflect strong associations. Our findings suggest that exposure to air pollutants may play a role in the inflammation process.
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de Prado-Bert P, Warembourg C, Dedele A, Heude B, Borràs E, Sabidó E, Aasvang GM, Lepeule J, Wright J, Urquiza J, Gützkow KB, Maitre L, Chatzi L, Casas M, Vafeiadi M, Nieuwenhuijsen MJ, de Castro M, Grazuleviciene R, McEachan RRC, Basagaña X, Vrijheid M, Sunyer J, Bustamante M. Short- and medium-term air pollution exposure, plasmatic protein levels and blood pressure in children. ENVIRONMENTAL RESEARCH 2022; 211:113109. [PMID: 35292243 DOI: 10.1016/j.envres.2022.113109] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 02/23/2022] [Accepted: 03/08/2022] [Indexed: 05/26/2023]
Abstract
Exposure to air pollution influences children's health, however, the biological mechanisms underlying these effects are not completely elucidated. We investigated the association between short- and medium-term outdoor air pollution exposure with protein profiles and their link with blood pressure in 1170 HELIX children aged 6-11 years. Different air pollutants (NO2, PM10, PM2.5, and PM2.5abs) were estimated based on residential and school addresses at three different windows of exposure (1-day, 1-week, and 1-year before clinical and molecular assessment). Thirty-six proteins, including adipokines, cytokines, or apolipoproteins, were measured in children's plasma using Luminex. Systolic and diastolic blood pressure (SBP and DBP) were measured following a standardized protocol. We performed an association study for each air pollutant at each location and time window and each outcome, adjusting for potential confounders. After correcting for multiple-testing, hepatocyte growth factor (HGF) and interleukin 8 (IL8) levels were positively associated with 1-week home exposure to some of the pollutants (NO2, PM10, or PM2.5). NO2 1-week home exposure was also related to higher SBP. The mediation study suggested that HGF could explain 19% of the short-term effect of NO2 on blood pressure, but other study designs are needed to prove the causal directionality between HGF and blood pressure.
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Affiliation(s)
- Paula de Prado-Bert
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Charline Warembourg
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), UMR_S 1085, F-35000, Rennes, France
| | - Audrius Dedele
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, F-75004 Paris, France
| | - Eva Borràs
- Universitat Pompeu Fabra (UPF), Barcelona, Spain; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain
| | - Eduard Sabidó
- Universitat Pompeu Fabra (UPF), Barcelona, Spain; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain
| | - Gunn Marit Aasvang
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Johanna Lepeule
- University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000, Grenoble, France
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford Royal, UK
| | - Jose Urquiza
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Kristine B Gützkow
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Léa Maitre
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, USA; Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Maribel Casas
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Mark J Nieuwenhuijsen
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Montserrat de Castro
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Regina Grazuleviciene
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Rosemary R C McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford Royal, UK
| | - Xavier Basagaña
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Jordi Sunyer
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mariona Bustamante
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain.
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Markozannes G, Pantavou K, Rizos EC, Sindosi OΑ, Tagkas C, Seyfried M, Saldanha IJ, Hatzianastassiou N, Nikolopoulos GK, Ntzani E. Outdoor air quality and human health: An overview of reviews of observational studies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 306:119309. [PMID: 35469927 DOI: 10.1016/j.envpol.2022.119309] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 03/15/2022] [Accepted: 04/12/2022] [Indexed: 06/14/2023]
Abstract
The epidemiological evidence supporting putative associations between air pollution and health-related outcomes continues to grow at an accelerated pace with a considerable heterogeneity and with varying consistency based on the outcomes assessed, the examined surveillance system, and the geographic region. We aimed to evaluate the strength of this evidence base, to identify robust associations as well as to evaluate effect variation. An overview of reviews (umbrella review) methodology was implemented. PubMed and Scopus were systematically screened (inception-3/2020) for systematic reviews and meta-analyses examining the association between air pollutants, including CO, NOX, NO2, O3, PM10, PM2.5, and SO2 and human health outcomes. The quality of systematic reviews was evaluated using AMSTAR. The strength of evidence was categorized as: strong, highly suggestive, suggestive, or weak. The criteria included statistical significance of the random-effects meta-analytical estimate and of the effect estimate of the largest study in a meta-analysis, heterogeneity between studies, 95% prediction intervals, and bias related to small study effects. Seventy-five systematic reviews of low to moderate methodological quality reported 548 meta-analyses on the associations between outdoor air quality and human health. Of these, 57% (N = 313) were not statistically significant. Strong evidence supported 13 associations (2%) between elevated PM2.5, PM10, NO2, and SO2 concentrations and increased risk of cardiorespiratory or pregnancy/birth-related outcomes. Twenty-three (4%) highly suggestive associations were identified on elevated PM2.5, PM10, O3, NO2, and SO2 concentrations and increased risk of cardiorespiratory, kidney, autoimmune, neurodegenerative, cancer or pregnancy/birth-related outcomes. Sixty-seven (12%), and 132 (24%) meta-analyses were graded as suggestive, and weak, respectively. Despite the abundance of research on the association between outdoor air quality and human health, the meta-analyses of epidemiological studies in the field provide evidence to support robust associations only for cardiorespiratory or pregnancy/birth-related outcomes.
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Affiliation(s)
- Georgios Markozannes
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | | | - Evangelos C Rizos
- Department of Internal Medicine, University Hospital of Ioannina, Ioannina, Greece; School of Medicine, European University Cyprus, Nicosia, Cyprus; Hellenic Open University, Patra, Greece
| | - Ourania Α Sindosi
- Laboratory of Meteorology, Department of Physics, University of Ioannina, Ioannina, Greece
| | - Christos Tagkas
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Maike Seyfried
- Faculty of Medicine, University of Tuebingen, Tuebingen, Germany
| | - Ian J Saldanha
- Center for Evidence Synthesis in Health, Department of Health Services, Policy, and Practice, and Department of Epidemiology, School of Public Health, Brown University, RI, USA
| | - Nikos Hatzianastassiou
- Laboratory of Meteorology, Department of Physics, University of Ioannina, Ioannina, Greece
| | | | - Evangelia Ntzani
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece; Center for Evidence Synthesis in Health, Department of Health Services, Policy, and Practice, and Department of Epidemiology, School of Public Health, Brown University, RI, USA.
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Grahn K, Broberg K, Gustavsson P, Ljungman P, Lindfors P, Sjöström M, Wiebert P, Selander J. Occupational exposure to particles and biomarkers of cardiovascular disease-during work and after vacation. Int Arch Occup Environ Health 2022; 95:1537-1548. [PMID: 35819531 PMCID: PMC9424160 DOI: 10.1007/s00420-022-01900-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 06/12/2022] [Indexed: 11/30/2022]
Abstract
Objective Ambient particle matter is a risk factor for cardiovascular disease (CVD). However, little is known about associations between particles in occupational settings and risk of CVD. We investigated associations between occupational dust exposure and biomarkers of CVD, and potential recovery effects after vacation. Methods Personal dust exposure measurements (respirable silica, respirable dust < 4 µm, and particles of 0.1–10 µm (PM 0.1–10) were conducted once, and biological sampling were performed twice on non-smoking, male construction workers in Stockholm county, Sweden; during work and immediately after summer vacation. Linear regressions with adjustments for confounders and covariates were performed evaluating associations between occupational dust exposure and biomarkers. Paired t tests were performed evaluating changes before and after vacation. Results Sixty-five workers participated. Homocysteine concentrations were significantly higher with increasing concentrations (mg/m3) of respirable silica, respirable dust, and PM 0.1–10, and pulse rate with higher levels of respirable dust and dust of PM 0.1–10. Homocysteine levels were also positively correlated to number of years of dust exposure, as were low-density lipoprotein (LDL) levels. A clear recovery effect was present for LDL after vacation, but not for homocysteine. Conclusions Occupational dust exposure was associated with some CVD risk markers, even at mean exposure concentrations below the Swedish occupational exposure limits for respirable silica and respirable dust, respectively. Vacation resulted in recovery for some risk markers. However, the change of the homocysteine and LDL levels suggest a long-term effect. Reduction of occupational exposure to dust may decrease the risk of CVD among exposed workers. Supplementary Information The online version contains supplementary material available at 10.1007/s00420-022-01900-5.
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Affiliation(s)
- Karin Grahn
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. .,Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.
| | - Karin Broberg
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Per Gustavsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Cardiology, Danderyd University Hospital, Danderyd, Sweden
| | - Petra Lindfors
- Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Mattias Sjöström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Pernilla Wiebert
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jenny Selander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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Han B, Xu J, Zhang Y, Li P, Li K, Zhang N, Han J, Gao S, Wang X, Geng C, Yang W, Zhang L, Bai Z. Associations of Exposure to Fine Particulate Matter Mass and Constituents with Systemic Inflammation: A Cross-Sectional Study of Urban Older Adults in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:7244-7255. [PMID: 35148063 DOI: 10.1021/acs.est.1c04488] [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] [Indexed: 06/14/2023]
Abstract
Systemic inflammation is a key mechanism in the development of cardiovascular diseases induced by exposure to fine particles (particles with aerodynamic diameter ≤2.5 μm [PM2.5]). However, little is known about the effects of chemical constituents of PM2.5 on systemic inflammation. In this cross-sectional study, filter samples of personal exposure to PM2.5 were collected from community-dwelling older adults in Tianjin, China, and the chemical constituents of PM2.5 were analyzed. Blood samples were collected immediately after the PM2.5 sample collection. Seventeen cytokines were measured as targets. A linear regression model was applied to estimate the relative effects of PM2.5 and its chemical constituents on the measured cytokines. A positive matrix factorization model was employed to distinguish the sources of PM2.5. The calculated source contributions were used to estimate their effects on cytokines. After adjusting for other covariates, higher PM2.5-bound copper was significantly associated with increased levels of interleukin (IL)1β, IL6, IL10, and IL17 levels. Source analysis showed that an increase in PM2.5 concentration that originated from tire/brake wear and cooking emissions was significantly associated with enhanced levels of IL1β, IL6, tumor necrosis factor alpha (TNFα), and IL17. In summary, personal exposure to some PM2.5 constituents and specific sources could increase systemic inflammation in older adults. These findings may explain the cardiopulmonary effects of specific particulate chemical constituents of urban air pollution.
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Affiliation(s)
- Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jia Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yujuan Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin 300211, China
| | - Penghui Li
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
| | - Kangwei Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, IRCELYON, Villeurbanne 69626, France
| | - Nan Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jinbao Han
- School of Quality and Technical Supervision, Hebei University, Baoding 071002, China
| | - Shuang Gao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
| | - Xinhua Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Chunmei Geng
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Wen Yang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Liwen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin 300070, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Zhipeng Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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40
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Wittkopp S, Walzer D, Thorpe L, Roberts T, Xia Y, Gordon T, Thurston G, Brook R, Newman JD. Portable air cleaner use and biomarkers of inflammation: A systematic review and meta-analysis. AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2022; 18:100182. [PMID: 38390226 PMCID: PMC10883590 DOI: 10.1016/j.ahjo.2022.100182] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Fine particulate matter air pollution (PM2.5) is a major contributor to cardiovascular morbidity and mortality, potentially via increased inflammation. PM2.5 exposure increases inflammatory biomarkers linked to cardiovascular disease, including CRP, IL-6 and TNFα. Portable air cleaners (PACs) reduce individual PM2.5 exposure but evidence is limited regarding whether PACs also reduce inflammatory biomarkers. We performed a systematic review and meta-analysis of trials evaluating the use of PACs to reduce PM2.5 exposure and inflammatory biomarker concentrations. We identified English-language articles of randomized sham-controlled trials evaluating high efficiency particulate air filters in non-smoking, residential settings measuring serum CRP, IL-6 and TNFα before and after active versus sham filtration, and performed meta-analysis on the extracted modeled percent change in biomarker concentration across studies. Of 487 articles identified, we analyzed 14 studies enrolling 778 participants that met inclusion criteria. These studies showed PACs reduced PM2.5 by 61.5 % on average. Of the 14 included studies, 10 reported CRP concentrations in 570 participants; these showed active PAC use was associated with 7 % lower CRP (95 % CI: -14 % to 0.0 %, p = 0.05). Nine studies of IL-6, with 379 participants, showed active PAC use was associated with 13 % lower IL-6 (95 % CI: [-23 %, -3 %], p = 0.009). Six studies, with 269 participants, reported TNF-α and demonstrated no statistical evidence of difference between active and sham PAC use. Portable air cleaners that reduce PM2.5 exposure can decrease concentrations of inflammatory biomarkers associated with cardiovascular disease. Additional studies are needed to evaluate clinical outcomes and other biomarkers.
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Affiliation(s)
- Sharine Wittkopp
- Leon H. Charney Division of Cardiology, NYU Grossman School of Medicine, United States of America
| | - Dalia Walzer
- Department of Medicine, NYU Grossman School of Medicine, United States of America
| | - Lorna Thorpe
- Department of Population Health, NYU Grossman School of Medicine, United States of America
| | - Timothy Roberts
- Department of Population Health, NYU Grossman School of Medicine, United States of America
| | - Yuhe Xia
- Division of Biostatistics, NYU Grossman School of Medicine, United States of America
| | - Terry Gordon
- Department of Environmental Medicine, NYU Grossman School of Medicine, United States of America
| | - George Thurston
- Department of Environmental Medicine, NYU Grossman School of Medicine, United States of America
| | - Robert Brook
- Division of Cardiovascular Diseases, Wayne State University, United States of America
| | - Jonathan D Newman
- Leon H. Charney Division of Cardiology, NYU Grossman School of Medicine, United States of America
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41
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Vara EL, Langefeld CD, Wolf BJ, Howard TD, Hawkins GA, Quet Q, Moultrie LH, Quinnette King L, Molano ID, Bray SL, Ueberroth LA, Lim SS, Williams EM, Kamen DL, Ramos PS. Social Factors, Epigenomics and Lupus in African American Women (SELA) Study: protocol for an observational mechanistic study examining the interplay of multiple individual and social factors on lupus outcomes in a health disparity population. Lupus Sci Med 2022; 9:9/1/e000698. [PMID: 35768168 PMCID: PMC9244713 DOI: 10.1136/lupus-2022-000698] [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: 03/15/2022] [Accepted: 06/14/2022] [Indexed: 11/08/2022]
Abstract
Introduction Despite the disproportional impact of SLE on historically marginalised communities, the individual and sociocultural factors underlying these health disparities remain elusive. We report the design and methods for a study aimed at identifying epigenetic biomarkers associated with racism and resiliency that affect gene function and thereby influence SLE in a health disparity population. Methods and analysis The Social Factors, Epigenomics and Lupus in African American Women (SELA) Study is a cross-sectional, case–control study. A total of 600 self-reported African American women will be invited to participate. All participants will respond to questionnaires that capture detailed sociodemographic and medical history, validated measures of racial discrimination, social support, as well as disease activity and damage for cases. Participants who wish will receive their genetic ancestry estimates and be involved in research. Blood samples are required to provide peripheral blood mononuclear cell counts, DNA and RNA. The primary goals of SELA are to identify variation in DNA methylation (DNAm) associated with self-reported exposure to racial discrimination and social support, to evaluate whether social DNAm sites affect gene expression, to identify the synergistic effects of social factors on DNAm changes on SLE and to develop a social factors-DNAm predictive model for disease outcomes. This study is conducted in cooperation with the Sea Island Families Project Citizen Advisory Committee. Discussion and dissemination SELA will respond to the pressing need to clarify the interplay and regulatory mechanism by which various positive and negative social exposures influence SLE. Results will be published and shared with patients and the community. Knowledge of the biological impact of social exposures on SLE, as informed by the results of this study, can be leveraged by advocacy efforts to develop psychosocial interventions that prevent or mitigate risk exposures, and services or interventions that promote positive exposures. Implementation of such interventions is paramount to the closure of the health disparities gap.
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Affiliation(s)
- Emily L Vara
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Bethany J Wolf
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Timothy D Howard
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Gregory A Hawkins
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.,Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Queen Quet
- Gullah/Geechee Nation, St Helena Island, South Carolina, USA
| | - Lee H Moultrie
- Lee H Moultrie & Associates, North Charleston, South Carolina, USA
| | - L Quinnette King
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Ivan D Molano
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Stephanie L Bray
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Lori Ann Ueberroth
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - S Sam Lim
- Department of Medicine, Emory University, Atlanta, Georgia, USA.,Department of Epidemiology, Emory University, Atlanta, Georgia, USA
| | - Edith M Williams
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.,Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Diane L Kamen
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Paula S Ramos
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina, USA .,Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
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Hu J, Li W, Gao Y, Zhao G, Jiang Y, Wang W, Cao M, Zhu Y, Niu Y, Ge J, Chen R. Fine particulate matter air pollution and subclinical cardiovascular outcomes: A longitudinal study in 15 Chinese cities. ENVIRONMENT INTERNATIONAL 2022; 163:107218. [PMID: 35378443 DOI: 10.1016/j.envint.2022.107218] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 03/06/2022] [Accepted: 03/25/2022] [Indexed: 06/14/2023]
Abstract
AIMS Although previous studies have linked short-term exposure to fine particulate matter (PM2.5) air pollution with various molecular biomarkers of cardiovascular system, limited evidence is available for indicators at clinical or subclinical levels. We examined the associations between short-term PM2.5 exposure and a range of clinical or subclinical indicators of cardiovascular health in general population. METHODS AND RESULTS A longitudinal repeated-measure study was conducted among 247,640 participants who repeatedly visited health examination centers in 15 typical cities across China from 2013 to 2020. A total of 19 well-established indicators of cardiovascular risk or injury were evaluated and air quality data at nearest fixed-site monitors were collected. Linear mixed-effects models with distributed lag models were used to analyze the potentially lagged effects of PM2.5. The average daily PM2.5 concentration was 48 μg/m3 during the study period. PM2.5 exposure was associated with significant changes of 16 indicators with the effects generally peaked on lag 0 to 3 day. For an interquartile range (IQR) elevation (37 μg/m3) in PM2.5 concentrations over lag 0-7 day, the cumulative percentage changes were 0.50% to 1.27% in heart rates and blood pressure, 0.10% to 5.04% in inflammatory markers, -0.29% to 1.39% in blood viscosity parameters, -0.67% to 3.45% in blood lipids, 0.89% in blood homocysteine, 0.13% to 0.78% in myocardial enzymes, and 3.03% in pulse wave velocity. These associations were not substantially changed after adjusting concomitant exposures to gaseous pollutants. CONCLUSION Short-term exposure to PM2.5 may induce early cardiovascular effects in general population, including acute inflammation, myocardial injury, increased blood viscosity, vascular stiffness and hyperlipidemia.
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Affiliation(s)
- Jialu Hu
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wenshu Li
- 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
| | - Ya Gao
- 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
| | - Gang Zhao
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yixuan Jiang
- 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
| | - Weidong Wang
- 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
| | - Mengying Cao
- Shanghai Institute of Cardiovascular Diseases, Shanghai Clinical Bioinformatics Research Institute, Zhongshan Hospital, Shanghai Medical College of Fudan University, Shanghai, China
| | - Yixiang Zhu
- 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
| | - Yue Niu
- 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
| | - Junbo Ge
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, 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.
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Hao G, Zuo L, Xiong P, Chen L, Liang X, Jing C. Associations of PM2.5 and road traffic noise with mental health: Evidence from UK Biobank. ENVIRONMENTAL RESEARCH 2022; 207:112221. [PMID: 34656633 DOI: 10.1016/j.envres.2021.112221] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 10/06/2021] [Accepted: 10/13/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND The associations of atmospheric particulate matter with diameters of 2.5 μm or less (PM2.5) and road traffic noise with mental disorders in men and women are not well studied. OBJECTIVES We aim to examine the cross-sectional associations of PM2.5 and road traffic noise with mental disorders in men and women. METHODS The baseline data of the UK Biobank study (2006-2010) were used. Mental disorders including symptoms of nerves, anxiety, tension or depression (NATD), major depression, and bipolar disorder were assessed by validated questions. Verified models were used to estimate PM2.5 and road traffic noise. RESULTS A total of 334,986 participants with measurements of NATD and 90,706 participants with measurements of major depression and bipolar disorder were included in the analysis. After adjusting for covariates, the odds for the risk of NATD symptoms increased by 2.31 (95% CI: 2.15-2.50) times per 10 μg/m3 increase in PM2.5. The odds for the risk of major depression and bipolar disorder increased by 2.26 and 4.99 times per 10 μg/m3 increase in PM2.5. On the other hand, higher road traffic noise exposure was significantly associated with a higher risk of NATD symptoms (Decile 6-8 (54.9-57.8 dB), OR: 1.03, 95% CI: 1.01-1.06; Decile 9-10 (≥57.8 dB), OR: 1.04, 95% CI: 1.01-1.07) and bipolar disorder (Decile 2-5 (52.1-54.9 dB), OR: 1.26, 95% CI: 1.00-1.59; Decile 6-8 (54.9-57.8 dB), OR: 1.30, 95% CI: 1.02-1.65; Decile 9-10 (≥57.8 dB), OR: 1.54, 95% CI: 1.21-1.97). Interestingly, a negative association was observed between moderate road traffic noise and major depression (Decile 2-5 (52.1-54.9 dB), OR: 0.95, 95% CI: 0.90-1.00). Interactions between PM2.5 exposure with age, gender, and sleeplessness for NATD symptoms were observed (P < 0.05), while interactions between road traffic noise exposure with age and gender were observed (P < 0.05). CONCLUSIONS We found a positive association between PM2.5 and mental disorders. Meanwhile, we found a positive association of road traffic noise with NATD symptoms and bipolar disorder and a negative association of moderate road traffic noise with major depression. Also, the effect modifications of these associations by age, gender, or sleeplessness may exist.
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Affiliation(s)
- Guang Hao
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, China.
| | - Lei Zuo
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Peng Xiong
- Division of Medical Psychology and Behavioral Sciences, Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Li Chen
- Georgia Prevention Institute, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, Georgia, USA
| | - Xiaohua Liang
- Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Key Laboratory of Pediatrics in Chongqing, China International Science and Technology Cooperation Center of Child Development and Critical Disorders, Chongqing, China.
| | - Chunxia Jing
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou, 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, China.
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Azzouz M, Xu Y, Barregard L, Fagerberg B, Zöller B, Molnár P, Oudin A, Spanne M, Engström G, Stockfelt L. Air pollution and biomarkers of cardiovascular disease and inflammation in the Malmö Diet and Cancer cohort. Environ Health 2022; 21:39. [PMID: 35413834 PMCID: PMC9004064 DOI: 10.1186/s12940-022-00851-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 03/31/2022] [Indexed: 05/30/2023]
Abstract
INTRODUCTION Air pollution is associated with increased risk of cardiovascular disease, possibly through chronic systemic inflammation that promotes the progression of atherosclerosis and the risk of cardiovascular events. This study aimed to investigate the associations between air pollution and established biomarkers of inflammation and cardiovascular disease. METHODS The Cardiovascular Subcohort of the Malmö Diet and Cancer cohort includes 6103 participants from the general population of Malmö, Sweden. The participants were recruited 1991-1994. Annual mean residential exposure to particulate matter < 2.5 and < 10 μm (PM2.5 and PM10), and nitrogen oxides (NOx) at year of recruitment were assigned from dispersion models. Blood samples collected at recruitment, including blood cell counts, and biomarkers (lymphocyte- and neutrophil counts, C-reactive protein (CRP), soluble urokinase-type plasminogen activator receptor (suPAR), lipoprotein-associated phospholipase A2 (Lp-PLA2), ceruloplasmin, orosomucoid, haptoglobin, complement-C3, and alpha-1-antitrypsin) were analyzed. Multiple linear regression models were used to investigate the cross-sectional associations between air pollutants and biomarkers. RESULTS The mean annual exposure levels in the cohort were only slightly or moderately above the new WHO guidelines of 5 μg/m3 PM2.5 (10.5 μg/m3 PM2.5). Residential PM2.5 exposure was associated with increased levels of ceruloplasmin, orosomucoid, C3, alpha-1-antitrypsin, haptoglobin, Lp-PLA2 and the neutrophil-lymphocyte ratio. Ceruloplasmin, orosomucoid, C3 and alpha-1-antitrypsin were also positively associated with PM10. There were no associations between air pollutants and suPAR, leukocyte counts or CRP. The associations between particles and biomarkers were still significant after removing outliers and adjustment for CRP levels. The associations were more prominent in smokers. CONCLUSION Long-term residential exposure to moderate levels of particulate air pollution was associated with several biomarkers of inflammation and cardiovascular disease. This supports inflammation as a mechanism behind the association between air pollution and cardiovascular disease.
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Affiliation(s)
- Mehjar Azzouz
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
| | - Yiyi Xu
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lars Barregard
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Björn Fagerberg
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Bengt Zöller
- Center for Primary Health Care Research, Lund University/Region Skåne, Malmö, Sweden
| | - Peter Molnár
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Anna Oudin
- Occupational and Environmental Medicine, Department for Laboratory Medicine, Lund University, Lund, Sweden
- Division of Sustainable Health, Umeå University, Umeå, Sweden
| | - Mårten Spanne
- Environment Department, City of Malmö, Malmö, Sweden
| | - Gunnar Engström
- Department of Clinical Sciences in Malmö, CRC, Lund University, Lund, Sweden
| | - Leo Stockfelt
- Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden
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45
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Benka-Coker ML, Clark ML, Rajkumar S, Young BN, Bachand AM, Brook RD, Nelson TL, Volckens J, Reynolds SJ, Wilson A, L'Orange C, Good N, Quinn C, Koehler K, Africano S, Osorto Pinel AB, Diaz-Sanchez D, Neas L, Peel JL. Household air pollution from wood-burning cookstoves and C-reactive protein among women in rural Honduras. Int J Hyg Environ Health 2022; 241:113949. [PMID: 35259686 PMCID: PMC8934269 DOI: 10.1016/j.ijheh.2022.113949] [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: 12/02/2021] [Revised: 02/23/2022] [Accepted: 03/01/2022] [Indexed: 11/15/2022]
Abstract
Household air pollution from solid fuel combustion was estimated to cause 2.31 million deaths worldwide in 2019; cardiovascular disease is a substantial contributor to the global burden. We evaluated the cross-sectional association between household air pollution (24-h gravimetric kitchen and personal particulate matter (PM2.5) and black carbon (BC)) and C-reactive protein (CRP) measured in dried blood spots among 107 women in rural Honduras using wood-burning traditional or Justa (an engineered combustion chamber) stoves. A suite of 6 additional markers of systemic injury and inflammation were considered in secondary analyses. We adjusted for potential confounders and assessed effect modification of several cardiovascular-disease risk factors. The median (25th, 75th percentiles) 24-h-average personal PM2.5 concentration was 115 μg/m3 (65,154 μg/m3) for traditional stove users and 52 μg/m3 (39, 81 μg/m3) for Justa stove users; kitchen PM2.5 and BC had similar patterns. Higher concentrations of PM2.5 and BC were associated with higher levels of CRP (e.g., a 25% increase in personal PM2.5 was associated with a 10.5% increase in CRP [95% CI: 1.2-20.6]). In secondary analyses, results were generally consistent with a null association. Evidence for effect modification between pollutant measures and four different cardiovascular risk factors (e.g., high blood pressure) was inconsistent. These results support the growing evidence linking household air pollution and cardiovascular disease.
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Affiliation(s)
- Megan L Benka-Coker
- Department of Health Sciences, Gettysburg College, Gettysburg, PA, USA; Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Maggie L Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Sarah Rajkumar
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Bonnie N Young
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Annette M Bachand
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Robert D Brook
- Division of Cardiovascular Diseases, Wayne State University, Detroit, MI, USA
| | - Tracy L Nelson
- Department of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, USA
| | - John Volckens
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Stephen J Reynolds
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Christian L'Orange
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Nicholas Good
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Casey Quinn
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Kirsten Koehler
- Department of Environmental Health and Engineering, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Anibal B Osorto Pinel
- Trees, Water & People, Fort Collins, CO, USA; Asociación Hondureña para el Desarrollo, Tegucigalpa, Honduras
| | - David Diaz-Sanchez
- U.S. Environmental Protectection Agency, ORD, NHEERL, Environmental Public Health Divsion, USA
| | - Lucas Neas
- U.S. Environmental Protectection Agency, ORD, NHEERL, Environmental Public Health Divsion, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.
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46
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Cheng I, Yang J, Tseng C, Wu J, Conroy SM, Shariff-Marco S, Lin Gomez S, Whittemore AS, Stram DO, Le Marchand L, Wilkens LR, Ritz B, Wu AH. Outdoor ambient air pollution and breast cancer survival among California participants of the Multiethnic Cohort Study. ENVIRONMENT INTERNATIONAL 2022; 161:107088. [PMID: 35063793 PMCID: PMC10908249 DOI: 10.1016/j.envint.2022.107088] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 12/27/2021] [Accepted: 01/10/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Within the Multiethnic Cohort (MEC), we examined the association between air pollution and mortality among African American, European American, Japanese American, and Latina American women diagnosed with breast cancer. METHODS We used a land use regression (LUR) model and kriging interpolation to estimate nitrogen oxides (NOx , NO2) and particulate matter (PM2.5, PM10) exposures for 3,089 breast cancer cases in the MEC, who were diagnosed from 1993 through 2013 and resided largely in Los Angeles County, California. Cox proportional hazards models were used to examine the association of time-varying air pollutants with all-cause, breast cancer, cardiovascular disease (CVD), and non-breast cancer/non-CVD mortality, accounting for key covariates. RESULTS We identified 1,125 deaths from all causes (474 breast cancer, 272 CVD, 379 non-breast cancer/non-CVD deaths) among the 3,089 breast cancer cases with 8.1 years of average follow-up. LUR and kriged NOX (per 50 ppb) and NO2 (per 20 ppb), PM2.5 (per 10 µg/m3), and PM10 (per 10 µg/m3) were positively associated with risks of all-cause (Hazard Ratio (HR) range = 1.13-1.25), breast cancer (HR range = 1.19-1.45), and CVD mortality (HR range = 1.37-1.60). Associations were statistically significant for LUR NOX and CVD mortality (HR = 1.60; 95% CI: 1.08-2.37) and kriged NO2 and breast cancer mortality (HR = 1.45; 95% CI 1.02-2.07). Gaseous and PM pollutants were positively associated with breast cancer mortality across racial/ethnic group. CONCLUSION In this study, air pollutants have a harmful impact on breast cancer survival. Additional studies should evaluate potential confounding by socioeconomic factors. These data support maintaining clean air laws to improve survival for women with breast cancer.
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Affiliation(s)
- Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA; University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, San Francisco, CA, USA.
| | - Juan Yang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Chiuchen Tseng
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jun Wu
- Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, Irvine, CA, USA
| | - Shannon M Conroy
- Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA, USA
| | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA; University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, San Francisco, CA, USA
| | - Scarlett Lin Gomez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA; University of California, San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, San Francisco, CA, USA
| | | | - Daniel O Stram
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Loïc Le Marchand
- Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Lynne R Wilkens
- Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Beate Ritz
- Department of Epidemiology, School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Anna H Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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47
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Rivara AC, Corley M, Choy CC, Duckham RL, Pomer A, Reupena MS, Viali S, Naseri T, Kershaw EE, Crouter S, McGarvey ST, Bribiescas RG, Valeggia C, Hawley NL. C-reactive protein in adult Samoans: Population variation and physiological correlates. Am J Hum Biol 2022; 34:e23646. [PMID: 34260111 PMCID: PMC8758804 DOI: 10.1002/ajhb.23646] [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: 02/17/2021] [Revised: 05/16/2021] [Accepted: 06/01/2021] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVES C-reactive protein (CRP) has been associated with adiposity and cardiometabolic disease risk in many populations but remains remarkably understudied in Pacific Islander populations. Here, we provide the first examination of correlates of CRP in adult Samoans (n = 108, ages 35-55 years) to test the hypotheses that CRP exhibits sex-dependent associations with measures of BMI, adiposity, and cardiometabolic disease risks. METHODS We analyzed associations between measures of adiposity (total fat mass, visceral fat mass, percent total body fat), body mass index (BMI), cardiometabolic risks, behaviors, demographics, and CRP. Unadjusted analyses of CRP were undertaken using Pearson's pairwise, and Spearman's rank correlations; one-way analysis of variance and Kruskal-Wallis tests assessed variables by CRP quartiles. Adjusted analyses of CRP correlates were examined using generalized linear regression. RESULTS Serum CRP ranged from 0.08 to 13.3 mg/L (median 1.4 mg/L) and varied significantly by sex t (108) = -2.47, p = .015. CRP was weakly to moderately associated with measures of adiposity and BMI (r and ρ ranged between 0.25 and 0.50, p < .05) and some cardiometabolic markers (including HbA1c, fasting insulin, and insulin resistance). CRP was significantly associated with percent body fat in women and men, adjusting for other variables. CONCLUSIONS These data are among the first to demonstrate CRP correlates in a sample of adult Samoans. CRP differed by sex and was associated with BMI, adiposity, and some cardiometabolic risk markers. These data align with findings in other populations.
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Affiliation(s)
- Anna C Rivara
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Margaret Corley
- Department of Anthropology, Yale University, New Haven, CT, USA
| | - Courtney C Choy
- Department of Epidemiology, International Health Institute, Brown School of Public Health, Brown University, Providence, RI, USA
| | - Rachel L Duckham
- Institute of Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia,Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St Albans, Victoria, Australia,Department of General Practice, Monash University, Melbourne, Australia
| | - Alysa Pomer
- Department of Anthropology, Yale University, New Haven, CT, USA
| | | | | | | | - Erin E Kershaw
- Division of Endocrinology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Scott Crouter
- Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee Knoxville, Knoxville, TN, USA
| | - Stephen T McGarvey
- Department of Epidemiology, International Health Institute, Brown School of Public Health, Brown University, Providence, RI, USA
| | | | | | - Nicola L Hawley
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
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48
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Xu Z, Wang W, Liu Q, Li Z, Lei L, Ren L, Deng F, Guo X, Wu S. Association between gaseous air pollutants and biomarkers of systemic inflammation: A systematic review and meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 292:118336. [PMID: 34634403 DOI: 10.1016/j.envpol.2021.118336] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 10/05/2021] [Accepted: 10/08/2021] [Indexed: 05/23/2023]
Abstract
BACKGROUND Studies have linked gaseous air pollutants to multiple health effects via inflammatory pathways. Several major inflammatory biomarkers, including C-reactive protein (CRP), fibrinogen, interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) have also been considered as predictors of cardiovascular disease. However, there has been no meta-analysis to evaluate the associations between gaseous air pollutants and these typical biomarkers of inflammation to date. OBJECTIVES To evaluate the overall associations between short-term and long-term exposures to ambient ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon dioxide (CO) and major inflammatory biomarkers including CRP, fibrinogen, IL-6 and TNF-α. METHODS A meta-analysis was conducted for publications from PubMed, Web of Science, Scopus and EMBASE databases up to Feb 1st, 2021. RESULTS The meta-analysis included 38 studies conducted among 210,438 participants. Generally, we only observed significant positive associations between short-term exposures to gaseous air pollutants and inflammatory biomarkers. For a 10 μg/m3 increase in short-term exposure to O3, NO2, and SO2, there were significant increases of 1.05% (95%CI: 0.09%, 2.02%), 1.60% (95%CI: 0.49%, 2.72%), and 10.44% (95%CI: 4.20%, 17.05%) in CRP, respectively. Meanwhile, a 10 μg/m3 increase in NO2 was also associated with a 4.85% (95%CI: 1.10%, 8.73%) increase in TNF-α. Long-term exposures to gaseous air pollutants were not statistically associated with these biomarkers, but the study numbers were relatively small. Subgroup analyses found more apparent associations in studies with better study design, higher quality, and smaller sample size. Meanwhile, the associations also varied across studies conducted in different geographical regions. CONCLUSION Short-term exposure to gaseous air pollutants is associated with increased levels of circulating inflammatory biomarkers, suggesting that a systemic inflammatory state is activated upon exposure. More studies on long-term exposure to gaseous air pollutants and inflammatory biomarkers are warranted to verify the associations.
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Affiliation(s)
- Zhouyang Xu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Wanzhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Qisijing Liu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Zichuan Li
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Lei Lei
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Lihua Ren
- Division of Maternal and Child Nursing, School of Nursing, Peking University, Beijing, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
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49
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Adami G, Cattani G, Rossini M, Viapiana O, Olivi P, Orsolini G, Bertoldo E, Fracassi E, Gatti D, Fassio A. Association between exposure to fine particulate matter and osteoporosis: a population-based cohort study. Osteoporos Int 2022; 33:169-176. [PMID: 34268604 PMCID: PMC8758604 DOI: 10.1007/s00198-021-06060-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 06/30/2021] [Indexed: 11/30/2022]
Abstract
Long-term environmental air pollution exposure was associated with osteoporosis' risk in a cohort of women at high risk of fracture. Cortical sites seemed to be more susceptible to the exposure's effect. INTRODUCTION Environmental air pollution has been associated with disruption of bone health at a molecular level. Particulate matter (PM) exposure can simultaneously stimulate bone resorption and halt bone formation. The primary aim of the present study is to describe the association between long-term exposure to PM and osteoporosis in a large cohort of women at high risk of fracture. METHODS Clinical, demographic, and densitometric data were extracted from the DeFRAcalc79 dataset, which gathers data on women at risk for osteoporosis. Data on the monitoring of PM10 and PM2.5 concentrations were retrieved from the Italian institute of environment protection and research (Istituto Superiore per la Protezione e la Ricerca Ambientale, ISPRA). Generalized linear models with robust estimators were employed to determine the relationship between BMD and PM long-term exposure. RESULTS A total 59,950 women from 110 Italian provinces were included in the study. PM 2.5 exposure was negatively associated with T-score levels at the femoral neck (β -0.005, 95 CI -0.007 to -0.003) and lumbar spine (β -0.003, 95% CI -0.006 to -0.001). Chronic exposure to PM2.5 above 25 μg/m3 was associated with a 16% higher risk of having osteoporotic T-score at any site (aOR 1.161, 95% CI 1.105 to 1.220), and exposure to PM10 above 30 μg/m3 was associated with a 15% higher risk of having osteoporotic T-score at any site (aOR 1.148, 95% CI 1.098 to 1.200). CONCLUSION Long-term exposure to air pollution was associated with higher risk of osteoporosis. Femoral neck site seemed to be more susceptible to the detrimental effect of PM exposure than lumbar spine site. KEY MESSAGE Exposure to air pollution is associated with osteoporosis, mainly at femoral site.
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Affiliation(s)
- G. Adami
- Rheumatology Unit, University of Verona, Pz Scuro 10, 37134 Verona, Italy
| | - G. Cattani
- Italian Institute for Environmental Protection and Research, Rome, Italy
| | - M. Rossini
- Rheumatology Unit, University of Verona, Pz Scuro 10, 37134 Verona, Italy
| | - O. Viapiana
- Rheumatology Unit, University of Verona, Pz Scuro 10, 37134 Verona, Italy
| | - P. Olivi
- Orthopedic Unit, University of Verona, Verona, Italy
| | - G. Orsolini
- Rheumatology Unit, University of Verona, Pz Scuro 10, 37134 Verona, Italy
| | - E. Bertoldo
- Rheumatology Unit, University of Verona, Pz Scuro 10, 37134 Verona, Italy
| | - E. Fracassi
- Rheumatology Unit, University of Verona, Pz Scuro 10, 37134 Verona, Italy
| | - D. Gatti
- Rheumatology Unit, University of Verona, Pz Scuro 10, 37134 Verona, Italy
| | - A. Fassio
- Rheumatology Unit, University of Verona, Pz Scuro 10, 37134 Verona, Italy
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50
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Lin Y, Wang X, Lenz L, Ndiaye O, Qin J, Wang X, Huang H, Jeuland MA, Zhang J. Dried Blood Spot Biomarkers of Oxidative Stress and Inflammation Associated with Blood Pressure in Rural Senegalese Women with Incident Hypertension. Antioxidants (Basel) 2021; 10:antiox10122026. [PMID: 34943129 PMCID: PMC8698702 DOI: 10.3390/antiox10122026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 12/16/2021] [Accepted: 12/16/2021] [Indexed: 12/12/2022] Open
Abstract
Blood biomarkers of oxidative stress and inflammation have been associated with increased risk of hypertension development; yet their application in sub-Saharan Africa has been limited due to the lack of blood collection facilities. In this study, we evaluated the usefulness of dried blood spots (DBS), a more feasible alternative to venous blood, in rural sub-Saharan residents. We recruited 342 women with incident hypertension from rural Senegal, and measured C-reactive protein (CRP) and malondialdehyde (MDA) in DBS and concurrent blood pressure (BP) at baseline and 1-year follow-up. Associations of DBS biomarkers with current levels of and 1-year changes in BP were examined after adjusting for demographic, medical, and socioeconomic covariates. DBS concentrations of MDA were significantly associated with concurrent systolic BP (SBP) (p < 0.05), while DBS baseline concentrations of CRP were associated with longitudinal changes in SBP between baseline and follow-up. Compared to participants with baseline CRP < 1 mg/L, those with CRP of 1–3 mg/L and 3–10 mg/L had 2.11 mmHg (95%CI: −2.79 to 7.02 mmHg) and 4.68 mmHg (95%CI: 0.01 to 9.36 mmHg) increases in SBP at follow-up, respectively. The results support the use of DBS biomarkers for hypertension prevention and control, especially in settings with limited clinical resources.
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Affiliation(s)
- Yan Lin
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, NC 27705, USA; (Y.L.); (X.W.); (J.Q.); (X.W.); (H.H.)
| | - Xiangtian Wang
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, NC 27705, USA; (Y.L.); (X.W.); (J.Q.); (X.W.); (H.H.)
| | - Luciane Lenz
- RWI Leibniz Institute for Economic Research, 10115 Berlin, Germany; (L.L.); (M.A.J.)
| | - Ousmane Ndiaye
- Centre de Recherche pour le Développement Economique et Social (CRDES), Université Gaston-Berger, Saint-Louis, P.O. Box 234, Senegal;
| | - Jian Qin
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, NC 27705, USA; (Y.L.); (X.W.); (J.Q.); (X.W.); (H.H.)
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Xiaoli Wang
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, NC 27705, USA; (Y.L.); (X.W.); (J.Q.); (X.W.); (H.H.)
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300387, China
| | - Hui Huang
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, NC 27705, USA; (Y.L.); (X.W.); (J.Q.); (X.W.); (H.H.)
- College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Marc A. Jeuland
- RWI Leibniz Institute for Economic Research, 10115 Berlin, Germany; (L.L.); (M.A.J.)
- Sanford School of Public Policy and Duke Global Health Institute, Duke University, Durham, NC 27705, USA
| | - Junfeng Zhang
- Nicholas School of the Environment & Duke Global Health Institute, Duke University, Durham, NC 27705, USA; (Y.L.); (X.W.); (J.Q.); (X.W.); (H.H.)
- Correspondence:
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