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Zhu Y, Wu Y, Cheng J, Liang H, Chang Q, Lin F, Li D, Zhou X, Chen X, Pan P, Liu H, Guo Y, Zhang Y. Ambient air pollution, lifestyle, and genetic predisposition on all-cause and cause-specific mortality: A prospective cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 933:173120. [PMID: 38750765 DOI: 10.1016/j.scitotenv.2024.173120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 05/07/2024] [Accepted: 05/08/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND Although it is widely acknowledged that long-term exposure to ambient air pollution is closely related to the risk of mortality, there were inconsistencies in terms of cause-specific mortality and it is still unknown whether lifestyle and genetic susceptibility could modify the association. METHODS This population-based prospective cohort study involved 461,112 participants from the UK Biobank. The land-use regression model was used to estimate the concentrations of particulate matter (PM2.5, PMcoarse, PM10), and nitrogen oxides (NO2 and NOx). The association between air pollution and mortality was evaluated using Cox proportional hazard models. Furthermore, a lifestyle score incorporated with smoking status, physical activity, alcohol consumption, and diet behaviors, and polygenic risk score using 12 genetic variants, were developed to assess the modifying effect of air pollution on mortality outcomes. RESULTS During a median follow-up of 14.0 years, 33,903 deaths were recorded, including 17,083 (2835; 14,248), 6970, 2429, and 1287 deaths due to cancer (lung cancer, non-lung cancer), cardiovascular disease (CVD), respiratory and digestive disease, respectively. Each interquartile range (IQR) increase in PM2.5, NO2 and NOx was associated with 7 %, 6 % and 5 % higher risk of all-cause mortality, respectively. Specifically, for cause-specific mortality, each IQR increase in PM2.5, NO2 and NOx was also linked to mortality due to cancer (lung cancer and non-lung cancer), CVD, respiratory and digestive disease. Furthermore, additive and multiplicative interactions were identified between high ambient air pollution and unhealthy lifestyle on mortality. In addition, associations between air pollution and mortality were modified by lifestyle behaviors. CONCLUSION Long-term exposure to air pollutants increased the risk of all-cause and cause-specific mortality, which was modified by lifestyle behaviors. In addition, we also revealed a synergistically detrimental effect between air pollution and an unhealthy lifestyle, suggesting the significance of joint air pollution management and adherence to a healthy lifestyle on public health.
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Affiliation(s)
- Yiqun Zhu
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Yao Wu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jun Cheng
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Huaying Liang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Qinyu Chang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Fengyu Lin
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Dianwu Li
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China
| | - Xin Zhou
- Department of Dermatology, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China
| | - Xiang Chen
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Department of Dermatology, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha 410008, Hunan, China
| | - Pinhua Pan
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha 410008, Hunan, China
| | - Hong Liu
- Department of Dermatology, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha 410008, Hunan, China
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yan Zhang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Center of Respiratory Medicine, Xiangya Hospital of Central South University, Changsha 410008, Hunan, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha 410008, Hunan, China.
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Wei X, Ho KF, Yu T, Lin C, Chang LY, Chen D, Tam T, Huang B, Lau AKH, Lao XQ. The joint effect of long-term exposure to multiple air pollutants on non-accidental and cause-specific mortality: A longitudinal cohort study. JOURNAL OF HAZARDOUS MATERIALS 2024; 472:134507. [PMID: 38718510 DOI: 10.1016/j.jhazmat.2024.134507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 04/20/2024] [Accepted: 04/30/2024] [Indexed: 05/30/2024]
Abstract
The long-term joint impacts of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone (O3) on mortality are inconclusive. To bridge this research gap, we included 283,568 adults from the Taiwan MJ cohort between 2005 and 2016 and linked with the mortality data until 31 May 2019. Participants' annual average exposures to PM2.5, NO2, and O3 were estimated using satellite-based spatial-temporal models. We applied elastic net-regularised Cox models to construct a weighted environmental risk score (WERS) for the joint effects of three pollutants on non-accidental, cardiovascular, and cancer mortality and evaluated the contribution of each pollutant. The three pollutants jointly raised non-accidental mortality risk with a WERS hazard ratio (HR) of 1.186 (95% CI: 1.118-1.259) per standard deviation increase in each pollutant and weights of 72.8%, 15.2%, and 12.0% for PM2.5, NO2, and O3, respectively. The WERS increased cardiovascular death risk [HR: 1.248 (1.042-1.496)], with PM2.5 as the first contributor and O3 as the second. The WERS also elevated the cancer death risk [HR: 1.173 (1.083-1.270)], where PM2.5 played the dominant role and NO2 ranked second. Coordinated control of these three pollutants can optimise the health benefits of air quality improvements.
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Affiliation(s)
- Xianglin Wei
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Kin Fai Ho
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Tsung Yu
- Department of Public Health, College of Medicine, National Cheng Kung University, Taiwan
| | - Changqing Lin
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region of China
| | - Ly-Yun Chang
- Institute of Sociology, Academia Sinica, Taipei, Taiwan
| | - Dezhong Chen
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Tony Tam
- Department of Sociology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Bo Huang
- Department of Geography, The University of Hong Kong, Hong Kong Special Administrative Region of China
| | - Alexis K H Lau
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region of China; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region of China
| | - Xiang Qian Lao
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong Special Administrative Region of China.
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Sarwar SA, O'Malley GR, Botvinov J, Khan Y, Kumar RP, Ali M, Cassimatis ND, Hundal JS, Patel NV. Impact of environmental pollutants on pediatric brain tumor incidence in New Jersey. Clin Neurol Neurosurg 2024; 242:108318. [PMID: 38759503 DOI: 10.1016/j.clineuro.2024.108318] [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: 02/28/2024] [Revised: 05/01/2024] [Accepted: 05/04/2024] [Indexed: 05/19/2024]
Abstract
OBJECTIVE The relationship between environmental contaminants and brain tumor incidence in adults has been thoroughly explored but research into how these contaminants affect pediatric brain tumor (PBT) incidence has not been explored. Children, typically having more limited geographical movement and thus more consistent environmental contaminant exposure, might offer more reliable insights into which environmental contaminants affect the incidence of brain tumors. The present study is the first to focus on exploring whether a possible association exists between the incidence of PBTs and exposure to environmental pollutants in New Jersey (NJ). METHODS Linear regressions were run between PBT incidence and the concentration of air quality pollutants such as Ozone (O3), Particulate Matter 2.5 (PM2.5), Particulate Matter 10 (PM10), and Carbon Monoxide (CO). Similarly, linear regressions were run between PBT incidence and Elevated Blood Lead Levels (BLL). RESULTS The study observed a significant positive relationship between O3 and PBT incidence (β = 0.34, p = 0.028). However, the relationship between PBT incidence, and environmental pollutants such as CO (β = 0.0047, p = 0.098), PM2.5 (β = -0.2624, p = 0.74), and PM10 (β = -0.7353, p = 0.073) were found to be nonsignificant. For elevated BLL, nonsignificant relationships with PBT incidence were observed at 10-14 µg/dL (β = -39.38, p = 0.30), 15-19 µg/dL (β = -67.00, p = 0.21), and 20-44 µg/dL (β = -201.98, p = 0.12). CONCLUSIONS The results indicate a possible impact of O3 on the incidence of PBTs in NJ. In contrast to the significant links found in prior studies of adult brain tumors, the associations between PBT occurrence and particulate matter were not significant. These findings highlight the importance of further investigating how environmental factors, especially O3, relate to PBTs.
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Affiliation(s)
- Syed A Sarwar
- Department of Neurosurgery, Hackensack Meridian Health - Jersey Shore University Medical Center, USA.
| | | | - Julia Botvinov
- Department of Neurosurgery, Hackensack Meridian School of Medicine, USA
| | - Yasmin Khan
- Department of Cell Biology & Neuroscience, Rutgers University-New Brunswick, New Brunswick, NJ, USA
| | - Rohit Prem Kumar
- Department of Neurosurgery, Hackensack Meridian School of Medicine, USA
| | - Mir Ali
- Department of Neurosurgery, Hackensack Meridian School of Medicine, USA
| | | | - Jasdeep S Hundal
- Department of Neurology, Hackensack Meridian Health - Jersey Shore University Medical Center, Neptune, NJ, USA
| | - Nitesh V Patel
- Department of Neurosurgery, Hackensack Meridian Health - Jersey Shore University Medical Center, USA; Department of Neurosurgery, Hackensack Meridian School of Medicine, USA
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Dahman L, Gauthier V, Camier A, Bigna JJ, Glowacki F, Amouyel P, Dauchet L, Hamroun A. Air pollution and kidney cancer risk: a systematic review and meta-analysis. J Nephrol 2024:10.1007/s40620-024-01984-x. [PMID: 38913266 DOI: 10.1007/s40620-024-01984-x] [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: 10/25/2023] [Accepted: 04/30/2024] [Indexed: 06/25/2024]
Abstract
BACKGROUND Although several risk factors of kidney cancer have already been well-addressed, many remain underappreciated, such as chronic exposure to air pollution. This systematic review and meta-analysis aims to assess the association between air pollutant exposure and the risk of kidney cancer. METHODS With an exhaustive search equation including keywords related to air pollution and kidney cancer on EMBASE, PubMed, Web of science, Cochrane Library and CINAHL database, we identified all relevant articles published before March 23rd, 2023 (Prospero registration number: CRD42020187956). Using random-effects meta-analysis, we present pooled hazard ratios (with their respective 95% confidence interval) associated with a 10 µg/m3 increase in each pollutant level. Heterogeneity was quantified by the I2 statistic. Risks of methodological and publication bias were also both assessed using appropriate tools. RESULTS Of the 1919 records identified, our review included 19 articles (13 cohort, 5 registry-based and 1 case-control studies), of which 9 were suitable for the meta-analysis. We found a significantly increased risk of kidney cancer incidence for a 10 μg/m3 elevation of both particulate matter of less than 10 µm (PM10) (HR = 1.29 [1.10; 1.51], I2 = 0%, p = 0.002) and nitrogen dioxide (NO2) (HR = 1.10 [1.03; 1.18], I2 = 20%, p = 0.004). Secondary analyses also suggest an increased risk of kidney cancer-related morbidity-mortality associated with PM10 exposure. CONCLUSIONS Overall, our findings suggest a potential association between exposure to increased levels of PM10 and NO2 and the risk of kidney cancer. These results should nonetheless be interpreted with caution due to the limited number of included studies and their significant risk of methodological bias.
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Affiliation(s)
- Lina Dahman
- Service de Santé Publique, Epidémiologie, Economie de la Santé et Prévention, CHU de Lille, Lille, France
- Faculté de Médecine, Université Catholique de Lille, Lille, France
| | - Victoria Gauthier
- Service de Santé Publique, Epidémiologie, Economie de la Santé Et Prévention, CHU de Lille, Lille, France
- UMR1167 RID-AGE, Institut Pasteur de Lille, Inserm, Univ Lille, CHU Lille, Lille, France
| | | | - Jean Joel Bigna
- Département de Santé Publique, Epidémiologie, Institut Pasteur du Cameroun, Yaoundé, Cameroun
| | | | - Philippe Amouyel
- Service de Santé Publique, Epidémiologie, Economie de la Santé Et Prévention, CHU de Lille, Lille, France
- UMR1167 RID-AGE, Institut Pasteur de Lille, Inserm, Univ Lille, CHU Lille, Lille, France
| | - Luc Dauchet
- Service de Santé Publique, Epidémiologie, Economie de la Santé Et Prévention, CHU de Lille, Lille, France
- UMR1167 RID-AGE, Institut Pasteur de Lille, Inserm, Univ Lille, CHU Lille, Lille, France
| | - Aghiles Hamroun
- Service de Santé Publique, Epidémiologie, Economie de la Santé Et Prévention, CHU de Lille, Lille, France.
- UMR1167 RID-AGE, Institut Pasteur de Lille, Inserm, Univ Lille, CHU Lille, Lille, France.
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Li J, Deng Z, Soerensen SJC, Kachuri L, Cardenas A, Graff RE, Leppert JT, Langston ME, Chung BI. Ambient air pollution and urological cancer risk: A systematic review and meta-analysis of epidemiological evidence. Nat Commun 2024; 15:5116. [PMID: 38879581 PMCID: PMC11180144 DOI: 10.1038/s41467-024-48857-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 05/13/2024] [Indexed: 06/19/2024] Open
Abstract
Exposure to ambient air pollution has significant adverse health effects; however, whether air pollution is associated with urological cancer is largely unknown. We conduct a systematic review and meta-analysis with epidemiological studies, showing that a 5 μg/m3 increase in PM2.5 exposure is associated with a 6%, 7%, and 9%, increased risk of overall urological, bladder, and kidney cancer, respectively; and a 10 μg/m3 increase in NO2 is linked to a 3%, 4%, and 4% higher risk of overall urological, bladder, and prostate cancer, respectively. Were these associations to reflect causal relationships, lowering PM2.5 levels to 5.8 μg/m3 could reduce the age-standardized rate of urological cancer by 1.5 ~ 27/100,000 across the 15 countries with the highest PM2.5 level from the top 30 countries with the highest urological cancer burden. Implementing global health policies that can improve air quality could potentially reduce the risk of urologic cancer and alleviate its burden.
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Affiliation(s)
- Jinhui Li
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA.
| | - Zhengyi Deng
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA
| | - Simon John Christoph Soerensen
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Linda Kachuri
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Andres Cardenas
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Rebecca E Graff
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - John T Leppert
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Division of Urology, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Marvin E Langston
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Benjamin I Chung
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA
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Cheng Z, Qin K, Zhang Y, Yu Z, Li B, Jiang C, Xu J. Air pollution and cancer daily mortality in Hangzhou, China: an ecological research. BMJ Open 2024; 14:e084804. [PMID: 38858146 PMCID: PMC11168133 DOI: 10.1136/bmjopen-2024-084804] [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] [Received: 01/29/2024] [Accepted: 05/14/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND Long-term exposure to air pollution has been linked to cancer incidence. However, the evidence is limited regarding the effect of short-term exposure to air pollution on cancer mortality. OBJECTIVES This study aimed to investigate associations between short-term exposure to air pollutants (sulfur dioxide (SO2), nitrogen dioxide (NO2), particulate matter with an aerodynamic diameter <10 mm (PM10) and PM2.5) and cancer daily mortality. METHODS This study used air quality, meteorological and daily cancer death data from 2014 to 2019 in Hangzhou, China. Generalised additive models (GAM) with quasi-Poisson regression were used to analyse the associations between air pollutants and cancer mortality with adjustment for confounding factors including time trends, day of week, temperature and humidity. Then, we conducted stratified analyses by sex, age, season and education. In addition, stratified analyses of age, season and education were performed within each sex to determine whether sex difference was modified by such factors. RESULTS After adjusting for potential confounders, the GAM results indicated a statistically significant relationship between increased cancer mortality and elevated air pollution concentrations, but only in the female population. For every 10 μg/m3 rise in pollutant concentration, the increased risk of cancer death in females was 6.82% (95% CI 3.63% to 10.10%) for SO2 on lag 03, and 2.02% (95% CI 1.12% to 2.93%) for NO2 on lag 01 and 0.89% (95% CI 0.46% to 1.33%) for PM10 on lag 03 and 1.29% (95% CI 0.64% to 1.95%) for PM2.5 on lag 03. However, no statistically significant association was found among males. Moreover, the differences in effect sizes between males and females were more pronounced during the cold season, among the elderly and among subjects with low levels of education. CONCLUSIONS Increased cancer mortality was only observed in females with rising concentrations of air pollutants. Further research is required to confirm this sex difference. Advocate for the reduction of air pollutant emissions to protect vulnerable groups.
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Affiliation(s)
- Zongxue Cheng
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Kang Qin
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Yan Zhang
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Zhecong Yu
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Biao Li
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Caixia Jiang
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Jue Xu
- Department of Chronic and Non-Communicable Disease, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
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7
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Brown JA, Ish JL, Chang CJ, Bookwalter DB, O’Brien KM, Jones RR, Kaufman JD, Sandler DP, White AJ. Outdoor air pollution exposure and uterine cancer incidence in the Sister Study. J Natl Cancer Inst 2024; 116:948-956. [PMID: 38346713 PMCID: PMC11160506 DOI: 10.1093/jnci/djae031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/26/2024] [Accepted: 02/07/2024] [Indexed: 03/16/2024] Open
Abstract
BACKGROUND Outdoor air pollution is a ubiquitous exposure that includes endocrine-disrupting and carcinogenic compounds that may contribute to the risk of hormone-sensitive outcomes such as uterine cancer. However, there is limited evidence about the relationship between outdoor air pollution and uterine cancer incidence. METHODS We investigated the associations of residential exposure to particulate matter less than 2.5 µm in aerodynamic diameter (PM2.5) and nitrogen dioxide (NO2) with uterine cancer among 33 417 Sister Study participants with an intact uterus at baseline (2003-2009). Annual average air pollutant concentrations were estimated at participants' geocoded primary residential addresses using validated spatiotemporal models. Cox proportional hazards models were used to estimate hazard ratios and 95% confidence intervals for the association between time-varying 12-month PM2.5 (µg/m3) and NO2 (parts per billion; ppb) averages and uterine cancer incidence. RESULTS Over a median follow-up period of 9.8 years, 319 incident uterine cancer cases were identified. A 5-ppb increase in NO2 was associated with a 23% higher incidence of uterine cancer (hazard ratio = 1.23, 95% confidence interval = 1.04 to 1.46), especially among participants living in urban areas (hazard ratio = 1.53, 95% confidence interval = 1.13 to 2.07), but PM2.5 was not associated with increased uterine cancer incidence. CONCLUSION In this large US cohort, NO2, a marker of vehicular traffic exposure, was associated with a higher incidence of uterine cancer. These findings expand the scope of health effects associated with air pollution, supporting the need for policy and other interventions designed to reduce air pollutant exposure.
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Affiliation(s)
- Jordyn A Brown
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer L Ish
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Che-Jung Chang
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | | | - Katie M O’Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Joel D Kaufman
- Departments of Environmental & Occupational Health Sciences, Medicine, and Epidemiology, University of Washington, Seattle, WA, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
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Ige O, Ratnayake I, Martinez J, Pepper S, Alsup A, McGuirk M, Gajewski B, Mudaranthakam DP. A Regional Study to Evaluate the Impact of Coal-fired Power Plants on Lung Cancer Incident Rates. PREVENTIVE ONCOLOGY & EPIDEMIOLOGY 2024; 2:2348469. [PMID: 38899318 PMCID: PMC11185817 DOI: 10.1080/28322134.2024.2348469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 04/24/2024] [Indexed: 06/21/2024]
Abstract
Background Lung cancer is the leading cause of cancer related deaths. In Kansas, where coal-fired power plants account for 34% of power, we investigated whether hosting counties had higher age-adjusted lung cancer incidence rates. We also examined demographics, poverty levels, percentage of smokers, and environmental conditions using spatial analysis. Methods Data from the Kansas Health Matters, and the Behavioral Risk Factor Surveillance System (2010-2014) for 105 counties in Kansas were analyzed. Multiple Linear Regression (MLR) assessed associations between potential risk factors and age-adjusted lung cancer incidence rates while Geographically Weighted Regression (GWR) examined regional risk factors. Results Moran's I test confirmed spatial autocorrelation in age-adjusted lung cancer incidence rates (p<0.0003). MLR identified percentage of smokers, population size, and proportion of elderly population as significant predictors of age-adjusted lung cancer incidence rates (p<0.05). GWR showed positive associations between percentage of smokers and age-adjusted lung cancer incidence rates in over 50% of counties. Conclusion Contrary to our hypothesis, proximity to a coal-fired power plant was not a significant predictor of age-adjusted lung cancer incidence rates. Instead, percentage of smokers emerged as a consistent global and regional risk factor. Regional lung cancer outcomes in Kansas are influenced by wind patterns and elderly population.
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Affiliation(s)
- Oluwatobiloba Ige
- Department of Biostatistics & Data Science, The University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS 66160 USA
| | - Isuru Ratnayake
- Department of Biostatistics & Data Science, The University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS 66160 USA
| | - Joshua Martinez
- Department of Biostatistics & Data Science, The University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS 66160 USA
| | - Sam Pepper
- Department of Biostatistics & Data Science, The University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS 66160 USA
- The University of Kansas Cancer Center, The University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA
| | - Alexander Alsup
- Department of Biostatistics & Data Science, The University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS 66160 USA
| | - Matthew McGuirk
- Department of Biostatistics & Data Science, The University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS 66160 USA
| | - Byron Gajewski
- Department of Biostatistics & Data Science, The University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS 66160 USA
- The University of Kansas Cancer Center, The University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA
| | - Dinesh Pal Mudaranthakam
- Department of Biostatistics & Data Science, The University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS 66160 USA
- The University of Kansas Cancer Center, The University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS 66160 USA
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Karimi B, Samadi S. Long-term exposure to air pollution on cardio-respiratory, and lung cancer mortality: a systematic review and meta-analysis. JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE & ENGINEERING 2024; 22:75-95. [PMID: 38887768 PMCID: PMC11180069 DOI: 10.1007/s40201-024-00900-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 04/02/2024] [Indexed: 06/20/2024]
Abstract
Air pollution is a major cause of specific deaths worldwide. This review article aimed to investigate the results of cohort studies for air pollution connected with the all-cause, cardio-respiratory, and lung cancer mortality risk by performing a meta-analysis. Relevant cohort studies were searched in electronic databases (PubMed/Medline, Web of Science, and Scopus). We used a random effect model to estimate the pooled relative risks (RRs) and their 95% CIs (confidence intervals) of mortality. The risk of bias for each included study was also assessed by Office of Health Assessment and Translation (OHAT) checklists. We applied statistical tests for heterogeneity and sensitivity analyses. The registration code of this study in PROSPERO was CRD42023422945. A total of 88 cohort studies were eligible and included in the final analysis. The pooled relative risk (RR) per 10 μg/m3 increase of fine particulate matter (PM2.5) was 1.080 (95% CI 1.068-1.092) for all-cause mortality, 1.058 (95% CI 1.055-1.062) for cardiovascular mortality, 1.066 (95%CI 1.034-1.097) for respiratory mortality and 1.118 (95% CI 1.076-1.159) for lung cancer mortality. We observed positive increased associations between exposure to PM2.5, PM10, black carbon (BC), and nitrogen dioxide (NO2) with all-cause, cardiovascular and respiratory diseases, and lung cancer mortality, but the associations were not significant for nitrogen oxides (NOx), sulfur dioxide (SO2) and ozone (O3). The risk of mortality for males and the elderly was higher compared to females and younger age. The pooled effect estimates derived from cohort studies provide substantial evidence of adverse air pollution associations with all-cause, cardiovascular, respiratory, and lung cancer mortality. Supplementary Information The online version contains supplementary material available at 10.1007/s40201-024-00900-6.
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Affiliation(s)
- Behrooz Karimi
- Department of Environmental Health Engineering, School of Health, Arak University of Medical Sciences, Arak, Iran
| | - Sadegh Samadi
- Department of Occupational Health and safety, School of Health, Arak University of Medical Sciences, Arak, Iran
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10
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Badilla P, Abad S, Smith C, Tsui B, Cardenas-Iniguez C, Herting MM. Lifetime residential data collection protocol for the Adolescent Brain Cognitive Development (ABCD) Study. MethodsX 2024; 12:102673. [PMID: 38623304 PMCID: PMC11017270 DOI: 10.1016/j.mex.2024.102673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 03/22/2024] [Indexed: 04/17/2024] Open
Abstract
Understanding the impacts of environmental exposures on health outcomes during development is an important area of research for plenty of reasons. Collecting retrospective and prospective residential history can enrich observational studies through eventual linkages to external sources. Augmenting participant health outcome data with environmental data can better inform on the role of the environment, thereby enhancing prevention and intervention efforts. However, collecting the geospatial information needed for this type of research can be difficult, especially when data are collected directly from participants. Participants' residential histories are unique and often complex. Collecting residential history data often involves capturing precise spatial locations along specific timeframes as well as contending with recall bias and unique, complex living arrangements. When trying to assess lifetime environmental exposures, researchers must consider the many changes in location a person goes through and the timeframes in which these changes occur, ultimately creating a multidimensional and dynamic dataset. Creating data collection protocols that are feasible to administer, result in accurate data, and minimize data missingness is a major challenge to undertake. Here, we provide an overview of the protocol developed to collect the lifetime residential address information of participants in the Adolescent Brain Cognitive Development (ABCD) Study.
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Affiliation(s)
- Paola Badilla
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | - Shermaine Abad
- Department of Radiology, University of California, San Diego, CA, USA
| | - Calen Smith
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Brandon Tsui
- Department of Radiology, University of California, San Diego, CA, USA
| | - Carlos Cardenas-Iniguez
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Megan M. Herting
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, USA
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11
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Diver WR, Teras LR, Deubler EL, Turner MC. Outdoor air pollution and risk of incident adult haematologic cancer subtypes in a large US prospective cohort. Br J Cancer 2024:10.1038/s41416-024-02718-3. [PMID: 38802672 DOI: 10.1038/s41416-024-02718-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 05/03/2024] [Accepted: 05/10/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Outdoor air pollution and particulate matter (PM) are classified as Group 1 human carcinogens for lung cancer. Pollutant associations with haematologic cancers are suggestive, but these cancers are aetiologically heterogeneous and sub-type examinations are lacking. METHODS The American Cancer Society Cancer Prevention Study-II Nutrition Cohort was used to examine associations of outdoor air pollutants with adult haematologic cancers. Census block group level annual predictions of particulate matter (PM2.5, PM10, PM10-2.5), nitrogen dioxide (NO2), ozone (O3), sulfur dioxide (SO2), and carbon monoxide (CO) were assigned with residential addresses. Hazard ratios (HR) and 95% confidence intervals (CI) between time-varying pollutants and haematologic subtypes were estimated. RESULTS Among 108,002 participants, 2659 incident haematologic cancers were identified from 1992-2017. Higher PM10-2.5 concentrations were associated with mantle cell lymphoma (HR per 4.1 μg/m3 = 1.43, 95% CI 1.08-1.90). NO2 was associated with Hodgkin lymphoma (HR per 7.2 ppb = 1.39; 95% CI 1.01-1.92) and marginal zone lymphoma (HR per 7.2 ppb = 1.30; 95% CI 1.01-1.67). CO was associated with marginal zone (HR per 0.21 ppm = 1.30; 95% CI 1.04-1.62) and T-cell (HR per 0.21 ppm = 1.27; 95% CI 1.00-1.61) lymphomas. CONCLUSIONS The role of air pollutants on haematologic cancers may have been underestimated previously because of sub-type heterogeneity.
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Affiliation(s)
- W Ryan Diver
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Barcelona, Spain.
- Department of Population Science, American Cancer Society, Atlanta, GA, USA.
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Emily L Deubler
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Michelle C Turner
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
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12
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Cummins MR, Shishupal S, Wong B, Wan N, Han J, Johnny JD, Mhatre-Owens A, Gouripeddi R, Ivanova J, Ong T, Soni H, Barrera J, Wilczewski H, Welch BM, Bunnell BE. Travel Distance Between Participants in US Telemedicine Sessions With Estimates of Emissions Savings: Observational Study. J Med Internet Res 2024; 26:e53437. [PMID: 38536065 PMCID: PMC11137427 DOI: 10.2196/53437] [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: 10/06/2023] [Revised: 11/22/2023] [Accepted: 01/26/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Digital health and telemedicine are potentially important strategies to decrease health care's environmental impact and contribution to climate change by reducing transportation-related air pollution and greenhouse gas emissions. However, we currently lack robust national estimates of emissions savings attributable to telemedicine. OBJECTIVE This study aimed to (1) determine the travel distance between participants in US telemedicine sessions and (2) estimate the net reduction in carbon dioxide (CO2) emissions attributable to telemedicine in the United States, based on national observational data describing the geographical characteristics of telemedicine session participants. METHODS We conducted a retrospective observational study of telemedicine sessions in the United States between January 1, 2022, and February 21, 2023, on the doxy.me platform. Using Google Distance Matrix, we determined the median travel distance between participating providers and patients for a proportional sample of sessions. Further, based on the best available public data, we estimated the total annual emissions costs and savings attributable to telemedicine in the United States. RESULTS The median round trip travel distance between patients and providers was 49 (IQR 21-145) miles. The median CO2 emissions savings per telemedicine session was 20 (IQR 8-59) kg CO2). Accounting for the energy costs of telemedicine and US transportation patterns, among other factors, we estimate that the use of telemedicine in the United States during the years 2021-2022 resulted in approximate annual CO2 emissions savings of 1,443,800 metric tons. CONCLUSIONS These estimates of travel distance and telemedicine-associated CO2 emissions costs and savings, based on national data, indicate that telemedicine may be an important strategy in reducing the health care sector's carbon footprint.
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Affiliation(s)
- Mollie R Cummins
- College of Nursing, University of Utah, Salt Lake City, UT, United States
- Spencer Fox Eccles School of Medicine, Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
- Doxy.me Inc, Charleston, SC, United States
| | - Sukrut Shishupal
- Spencer Fox Eccles School of Medicine, Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - Bob Wong
- College of Nursing, University of Utah, Salt Lake City, UT, United States
| | - Neng Wan
- Department of Geography, University of Utah, Salt Lake City, UT, United States
| | - Jiuying Han
- Department of Geography, University of Utah, Salt Lake City, UT, United States
| | - Jace D Johnny
- College of Nursing, University of Utah, Salt Lake City, UT, United States
| | - Amy Mhatre-Owens
- College of Nursing, University of Utah, Salt Lake City, UT, United States
| | - Ramkiran Gouripeddi
- Spencer Fox Eccles School of Medicine, Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | | | - Triton Ong
- Doxy.me Inc, Charleston, SC, United States
| | - Hiral Soni
- Doxy.me Inc, Charleston, SC, United States
| | - Janelle Barrera
- Doxy.me Inc, Charleston, SC, United States
- Department of Psychiatry and Behavioral Neurosciences, Morsani College of Medicine, University of South Florida, Salt Lake City, UT, United States
| | | | - Brandon M Welch
- Doxy.me Inc, Charleston, SC, United States
- Medical University of South Carolina, Charleston, SC, United States
| | - Brian E Bunnell
- Doxy.me Inc, Charleston, SC, United States
- Department of Psychiatry and Behavioral Neurosciences, Morsani College of Medicine, University of South Florida, Salt Lake City, UT, United States
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13
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Craver A, Luo J, Kibriya MG, Randorf N, Bahl K, Connellan E, Powell J, Zakin P, Jones RR, Argos M, Ho J, Kim K, Daviglus ML, Greenland P, Ahsan H, Aschebrook-Kilfoy B. Air quality and cancer risk in the All of Us Research Program. Cancer Causes Control 2024; 35:749-760. [PMID: 38145439 PMCID: PMC11045436 DOI: 10.1007/s10552-023-01823-7] [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: 01/17/2023] [Accepted: 10/31/2023] [Indexed: 12/26/2023]
Abstract
INTRODUCTION The NIH All of Us Research Program has enrolled over 544,000 participants across the US with unprecedented racial/ethnic diversity, offering opportunities to investigate myriad exposures and diseases. This paper aims to investigate the association between PM2.5 exposure and cancer risks. MATERIALS AND METHODS This work was performed on data from 409,876 All of Us Research Program participants using the All of Us Researcher Workbench. Cancer case ascertainment was performed using data from electronic health records and the self-reported Personal Medical History questionnaire. PM2.5 exposure was retrieved from NASA's Earth Observing System Data and Information Center and assigned using participants' 3-digit zip code prefixes. Multivariate logistic regression was used to estimate the odds ratio (OR) and 95% confidence interval (CI). Generalized additive models (GAMs) were used to investigate non-linear relationships. RESULTS A total of 33,387 participants and 46,176 prevalent cancer cases were ascertained from participant EHR data, while 20,297 cases were ascertained from self-reported survey data from 18,133 participants; 9,502 cancer cases were captured in both the EHR and survey data. Average PM2.5 level from 2007 to 2016 was 8.90 μg/m3 (min 2.56, max 15.05). In analysis of cancer cases from EHR, an increased odds for breast cancer (OR 1.17, 95% CI 1.09-1.25), endometrial cancer (OR 1.33, 95% CI 1.09-1.62) and ovarian cancer (OR 1.20, 95% CI 1.01-1.42) in the 4th quartile of exposure compared to the 1st. In GAM, higher PM2.5 concentration was associated with increased odds for blood cancer, bone cancer, brain cancer, breast cancer, colon and rectum cancer, endocrine system cancer, lung cancer, pancreatic cancer, prostate cancer, and thyroid cancer. CONCLUSIONS We found evidence of an association of PM2.5 with breast, ovarian, and endometrial cancers. There is little to no prior evidence in the literature on the impact of PM2.5 on risk of these cancers, warranting further investigation.
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Affiliation(s)
- Andrew Craver
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
| | - Jiajun Luo
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Muhammad G Kibriya
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Nina Randorf
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
| | - Kendall Bahl
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
| | - Elizabeth Connellan
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
| | - Johnny Powell
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
| | - Paul Zakin
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Maria Argos
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA
| | - Joyce Ho
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Karen Kim
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, College of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Habibul Ahsan
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
- Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA
| | - Briseis Aschebrook-Kilfoy
- Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA.
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA.
- Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA.
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14
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Fang F, Ritz B, Rao J, Zhu Y, Tashkin DP, Morgenstern H, Zhang ZF. Association between ambient exposure to PM 2.5 and upper aerodigestive tract cancer in Los Angeles. Int J Cancer 2024; 154:1579-1586. [PMID: 38180239 PMCID: PMC10932807 DOI: 10.1002/ijc.34835] [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: 06/21/2023] [Revised: 12/06/2023] [Accepted: 12/12/2023] [Indexed: 01/06/2024]
Abstract
Fine particulate matter (PM2.5 ) contains carcinogens similar to those generated by tobacco smoking, which may increase the risks of developing smoking-related cancers, such as upper aerodigestive track (UADT) cancers, for both smokers and never-smokers. Therefore, it is imperative to understand the relation between ambient PM2.5 exposure and risk of UADT cancers. A population-based case-control study involving 565 incident UADT cancer cases and 983 controls was conducted in Los Angeles County from 1999 to 2004. The average residential PM2.5 concentration 1 year before the diagnosis date for cases and the reference date for controls was assessed using a chemical transport model. The association between ambient PM2.5 and the UADT cancers was estimated by unconditional logistic regression, adjusting for confounders at the individual and block-group level. Stratified analyses were conducted by sex, tobacco smoking status and UADT subsites. We also assessed the interaction between PM2.5 and tobacco smoking on UADT cancers. PM2.5 concentrations were associated with an elevated odds of UADT cancers (adjusted odds ratio = 1.21 per interquartile range [4.5 μg/m3 ] increase; 95% confidence interval: 1.02, 1.44). The association between PM2.5 and UADT cancers was similar across UADT subsites, sex and tobacco smoking status. The interaction between PM2.5 and tobacco smoking on UADT cancers was approximately additive on the odds scale. The effect estimate for PM2.5 and UADT cancers was similar among never smokers. Our findings support the hypothesis that exposure to PM2.5 increases the risk of UADT cancers. Improvements in air quality may reduce the risk of UADT cancers.
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Affiliation(s)
- Fang Fang
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California
| | - Beate Ritz
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California
- Department of Environmental Health Sciences, UCLA Fielding School of Public Health, Los Angeles, California
| | - Jianyu Rao
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California
- Department of Pathology and Laboratory Medicine, UCLA David Geffen School of Medicine, Los Angeles, California
| | - Yifang Zhu
- Department of Environmental Health Sciences, UCLA Fielding School of Public Health, Los Angeles, California
| | - Donald P. Tashkin
- Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Hal Morgenstern
- Departments of Epidemiology and Environmental Health Sciences, School of Public Health and Department of Urology, Medical School, University of Michigan, Ann Arbor, Michigan
| | - Zuo-Feng Zhang
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California
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15
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Li TF, Xu Z, Zhang K, Yang X, Thakur A, Zeng S, Yan Y, Liu W, Gao M. Effects and mechanisms of N6-methyladenosine RNA methylation in environmental pollutant-induced carcinogenesis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 277:116372. [PMID: 38669875 DOI: 10.1016/j.ecoenv.2024.116372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 03/20/2024] [Accepted: 04/20/2024] [Indexed: 04/28/2024]
Abstract
Environmental pollution, including air pollution, plastic contamination, and heavy metal exposure, is a pressing global issue. This crisis contributes significantly to pollution-related diseases and is a critical risk factor for chronic health conditions, including cancer. Mounting evidence underscores the pivotal role of N6-methyladenosine (m6A) as a crucial regulatory mechanism in pathological processes and cancer progression. Governed by m6A writers, erasers, and readers, m6A orchestrates alterations in target gene expression, consequently playing a vital role in a spectrum of RNA processes, covering mRNA processing, translation, degradation, splicing, nuclear export, and folding. Thus, there is a growing need to pinpoint specific m6A-regulated targets in environmental pollutant-induced carcinogenesis, an emerging area of research in cancer prevention. This review consolidates the understanding of m6A modification in environmental pollutant-induced tumorigenesis, explicitly examining its implications in lung, skin, and bladder cancer. We also investigate the biological mechanisms that underlie carcinogenesis originating from pollution. Specific m6A methylation pathways, such as the HIF1A/METTL3/IGF2BP3/BIRC5 network, METTL3/YTHDF1-mediated m6A modification of IL 24, METTL3/YTHDF2 dynamically catalyzed m6A modification of AKT1, METTL3-mediated m6A-modified oxidative stress, METTL16-mediated m6A modification, site-specific ATG13 methylation-mediated autophagy, and the role of m6A in up-regulating ribosome biogenesis, all come into play in this intricate process. Furthermore, we discuss the direction regarding the interplay between pollutants and RNA metabolism, particularly in immune response, providing new information on RNA modifications for future exploration.
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Affiliation(s)
- Tong-Fei Li
- Shiyan Key Laboratory of Natural Medicine Nanoformulation Research, Hubei Key Laboratory of Embryonic Stem Cell Research, School of Basic Medical Sciences, Hubei University of Medicine, Renmin road No. 30, Shiyan, Hubei 442000, China
| | - Zhijie Xu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Kui Zhang
- Pritzker School of Molecular Engineering, Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
| | - Xiaoxin Yang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Abhimanyu Thakur
- Pritzker School of Molecular Engineering, Ben May Department for Cancer Research, University of Chicago, Chicago, IL 60637, USA
| | - Shuangshuang Zeng
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Yuanliang Yan
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
| | - Wangrui Liu
- Department of Thoracic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
| | - Ming Gao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
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16
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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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17
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Cheng SYH, Hsu YC, Cheng SP. An ecological analysis of associations between ambient air pollution and cancer incidence rates in Taiwan. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:29162-29173. [PMID: 38565820 DOI: 10.1007/s11356-024-33145-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 03/26/2024] [Indexed: 04/04/2024]
Abstract
Air pollution is deemed a human carcinogen and can be linked to certain types of cancer other than lung cancer. The present study aimed to investigate the pollutant-cancer associations in a population-level cohort. We obtained the annual age-standardized incidence rates of 28 different cancer types between 2015 to 2019 from the Taiwan Cancer Registry. Outdoor concentrations of particulate matter with a diameter of 10 μm or less (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), ground-level ozone (O3), and carbon monoxide (CO) between 2001 to 2010 were retrieved from the Taiwan Air Quality Monitoring Network. Weighted quantile sum (WQS) regression models were used to determine the combined effects of five air pollutants on the relationship to cancer incidence rates after controlling for sex ratio, age, average disposable income per household, overweight/obesity prevalence, current smoking rate, and drinking rate. Trend analyses showed that NO2 and CO concentrations tended to decrease, while SO2 concentrations increased in some counties. WQS regression analyses revealed significantly positive correlations between air pollutants and liver cancer, lung and tracheal cancer, colorectal cancer, thyroid cancer, kidney cancer, and small intestine cancer. Altogether, the results from this ecological study unravel that exposure to ambient air pollution is associated with the incidence of several non-lung cancer types.
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Affiliation(s)
| | - Yi-Chiung Hsu
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan City, Taiwan
- Center for Astronautical Physics and Engineering, National Central University, Taoyuan City, Taiwan
| | - Shih-Ping Cheng
- Department of Surgery, MacKay Memorial Hospital and MacKay Medical College, Taipei, Taiwan.
- Institute of Biomedical Sciences, MacKay Medical College, New Taipei City, Taiwan.
- Department of Pharmacology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
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Kentros PA, Huang Y, Wylie BJ, Khoury-Collado F, Hou JY, de Meritens AB, St Clair CM, Hershman DL, Wright JD. Ambient particulate matter air pollution exposure and ovarian cancer incidence in the USA: An ecological study. BJOG 2024; 131:690-698. [PMID: 37840233 DOI: 10.1111/1471-0528.17689] [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: 07/10/2023] [Revised: 09/09/2023] [Accepted: 09/21/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE To investigate associations between air particulate matter of ≤2.5 μm in diameter (PM2.5 ) and ovarian cancer. DESIGN County-level ecological study. SETTING Surveillance, epidemiology, and end results from a collection of state-level cancer registries across 744 counties. Data from the Environmental Protection Agency's network for PM2.5 monitoring was used to calculate trailing 5- and 10-year PM2.5 county-level values. County-level data on demographic characteristics were obtained from the American Community Survey. POPULATION A total of 98 751 patients with histologically confirmed ovarian cancer as a primary malignancy from 2000 to 2016. METHODS Generalised linear regression models were developed to estimate the association between PM2.5 and PM10 levels, over 5- and 10-year periods of exposure, and ovarian cancer risk, after accounting for county-level covariates. MAIN OUTCOME MEASURES Risk ratios for associations between ovarian cancer (both overall and specifically epithelial ovarian cancer) and PM2.5 levels. RESULTS For the 744 counties included, the average PM2.5 level from 1990 through 2018 was 11.75 μg/m3 (SD = 3.7) and the average PM10 level was 22.7 μg/m3 (SD = 5.7). After adjusting for county-level covariates, the overall annualised ovarian cancer incidence was significantly associated with increases in 5-year PM2.5 (RR = 1.11 per 10 units (μg/m3 ) increase, 95% CI 1.06-1.16). Similarly, when the analysis was limited to epithelial cell tumours and adjusted for county-level covariates there was a significant association with trailing 5-year PM2.5 exposure models (RR = 1.12 per 10 units increase, 95% CI 1.08-1.17). Likewise, 10-year PM2.5 exposure was associated with ovarian cancer overall and with epithelial ovarian cancer. CONCLUSIONS Higher county-level ambient PM2.5 levels are associated with 5- and 10-year incidences of ovarian cancer, as measurable in an ecological study.
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Affiliation(s)
| | - Yongmei Huang
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- Joseph L. Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Blair J Wylie
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
| | - Fady Khoury-Collado
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, New York, New York, USA
| | - June Y Hou
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, New York, New York, USA
| | - Alexandre Buckley de Meritens
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, New York, New York, USA
| | - Caryn M St Clair
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, New York, New York, USA
| | - Dawn L Hershman
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- Joseph L. Mailman School of Public Health, Columbia University, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, New York, New York, USA
| | - Jason D Wright
- Columbia University College of Physicians and Surgeons, New York, New York, USA
- Joseph L. Mailman School of Public Health, Columbia University, New York, New York, USA
- New York Presbyterian Hospital, New York, New York, USA
- Herbert Irving Comprehensive Cancer Center, New York, New York, USA
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19
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Pawar KK, Kumar A, Mirzaei A, Kumar M, Kim HW, Kim SS. 2D nanomaterials for realization of flexible and wearable gas sensors: A review. CHEMOSPHERE 2024; 352:141234. [PMID: 38278446 DOI: 10.1016/j.chemosphere.2024.141234] [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: 09/01/2023] [Revised: 01/03/2024] [Accepted: 01/14/2024] [Indexed: 01/28/2024]
Abstract
Gas sensors are extensively employed for monitoring and detection of hazardous gases and vapors. Many of them are produced on rigid substrates, but flexible and wearable gas sensors are needed for intriguing usage including the internet of things (IoT) and medical devices. The materials with the greatest potential for the fabrication of flexible and wearable gas sensing devices are two-dimensional (2D) semiconducting nanomaterials, which consist of graphene and its substitutes, transition metal dichalcogenides, and MXenes. These types of materials have good mechanical flexibility, high charge carrier mobility, a large area of surface, an abundance of defects and dangling bonds, and, in certain instances adequate transparency and ease of synthesis. In this review, we have addressed the different 2D nonmaterial properties for gas sensing in the context of fabrication of flexible/wearable gas sensors. We have discussed the sensing performance of flexible/wearable gas sensors in various forms such as pristine, composite and noble metal decorated. We believe that content of this review paper is greatly useful for the researchers working in the research area of fabrication of flexible/wearable gas sensors.
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Affiliation(s)
- Krishna Kiran Pawar
- Division of Materials Science and Engineering, Hanyang University, Seoul, 04763, South Korea; The Research Institute of Industrial Science, Hanyang University, Seoul, 04763, South Korea; School of Nanoscience and Technology, Shivaji University, Kolhapur, 416004, India
| | - Ashok Kumar
- Department of Electrical Engineering, Indian Institute of Technology, Jodhpur, 342030, India
| | - Ali Mirzaei
- Department of Materials Science and Engineering, Shiraz University of Technology, Shiraz, 715557-13876, Iran
| | - Mahesh Kumar
- Department of Electrical Engineering, Indian Institute of Technology, Jodhpur, 342030, India; Department of Cybernetics, Nanotechnology and Data Processing, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland
| | - Hyoun Woo Kim
- Division of Materials Science and Engineering, Hanyang University, Seoul, 04763, South Korea.
| | - Sang Sub Kim
- Department of Materials Science and Engineering, Inha University, Incheon, 22212, South Korea.
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Ramamoorthy T, Nath A, Singh S, Mathew S, Pant A, Sheela S, Kaur G, Sathishkumar K, Mathur P. Assessing the Global Impact of Ambient Air Pollution on Cancer Incidence and Mortality: A Comprehensive Meta-Analysis. JCO Glob Oncol 2024; 10:e2300427. [PMID: 38513187 DOI: 10.1200/go.23.00427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/14/2023] [Accepted: 01/30/2024] [Indexed: 03/23/2024] Open
Abstract
PURPOSE This study aims to examine the association between exposure to major ambient air pollutants and the incidence and mortality of lung cancer and some nonlung cancers. METHODS This meta-analysis used PubMed and EMBASE databases to access published studies that met the eligibility criteria. Primary analysis investigated the association between exposure to air pollutants and cancer incidence and mortality. Study quality was assessed using the Newcastle Ottawa Scale. Meta-analysis was conducted using R software. RESULTS The meta-analysis included 61 studies, of which 53 were cohort studies and eight were case-control studies. Particulate matter 2.5 mm or less in diameter (PM2.5) was the exposure pollutant in half (55.5%), and lung cancer was the most frequently studied cancer in 59% of the studies. A pooled analysis of exposure reported in cohort and case-control studies and cancer incidence demonstrated a significant relationship (relative risk [RR], 1.04 [95% CI, 1.02 to 1.05]; I2, 88.93%; P < .05). A significant association was observed between exposure to pollutants such as PM2.5 (RR, 1.08 [95% CI, 1.04 to 1.12]; I2, 68.52%) and nitrogen dioxide (NO2) (RR, 1.03 [95% CI, 1.01 to 1.05]; I2, 73.52%) and lung cancer incidence. The relationship between exposure to the air pollutants and cancer mortality demonstrated a significant relationship (RR, 1.08 [95% CI, 1.07 to 1.10]; I2, 94.77%; P < .001). Among the four pollutants, PM2.5 (RR, 1.15 [95% CI, 1.08 to 1.22]; I2, 95.33%) and NO2 (RR, 1.05 [95% CI, 1.02 to 1.08]; I2, 89.98%) were associated with lung cancer mortality. CONCLUSION The study confirms the association between air pollution exposure and lung cancer incidence and mortality. The meta-analysis results could contribute to community cancer prevention and diagnosis and help inform stakeholders and policymakers in decision making.
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Affiliation(s)
- Thilagavathi Ramamoorthy
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Anita Nath
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Shubhra Singh
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Stany Mathew
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Apourv Pant
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Samvedana Sheela
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Gurpreet Kaur
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Krishnan Sathishkumar
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
| | - Prashant Mathur
- Indian Council of Medical Research- National Centre for Disease Informatics and Research, Bengaluru, India
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21
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Taj T, Chen J, Rodopoulou S, Strak M, de Hoogh K, Poulsen AH, Andersen ZJ, Bellander T, Brandt J, Zitt E, Fecht D, Forastiere F, Gulliver J, Hertel O, Hoffmann B, Hvidtfeldt UA, Jørgensen JT, Katsouyanni K, Ketzel M, Lager A, Leander K, Liu S, Ljungman P, Severi G, Besson C, Magnusson PKE, Nagel G, Pershagen G, Peters A, Rizzuto D, Samoli E, Sørensen M, Stafoggia M, Tjønneland A, Weinmayr G, Wolf K, Brunekreef B, Hoek G, Raaschou-Nielsen O. Long-term exposure to ambient air pollution and risk of leukemia and lymphoma in a pooled European cohort. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 343:123097. [PMID: 38065336 DOI: 10.1016/j.envpol.2023.123097] [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: 08/01/2023] [Revised: 11/08/2023] [Accepted: 12/02/2023] [Indexed: 12/19/2023]
Abstract
Leukemia and lymphoma are the two most common forms of hematologic malignancy, and their etiology is largely unknown. Pathophysiological mechanisms suggest a possible association with air pollution, but little empirical evidence is available. We aimed to investigate the association between long-term residential exposure to outdoor air pollution and risk of leukemia and lymphoma. We pooled data from four cohorts from three European countries as part of the "Effects of Low-level Air Pollution: a Study in Europe" (ELAPSE) collaboration. We used Europe-wide land use regression models to assess annual mean concentrations of fine particulate matter (PM2.5), nitrogen dioxide (NO2), black carbon (BC) and ozone (O3) at residences. We also estimated concentrations of PM2.5 elemental components: copper (Cu), iron (Fe), zinc (Zn); sulfur (S); nickel (Ni), vanadium (V), silicon (Si) and potassium (K). We applied Cox proportional hazards models to investigate the associations. Among the study population of 247,436 individuals, 760 leukemia and 1122 lymphoma cases were diagnosed during 4,656,140 person-years of follow-up. The results showed a leukemia hazard ratio (HR) of 1.13 (95% confidence intervals [CI]: 1.01-1.26) per 10 μg/m3 NO2, which was robust in two-pollutant models and consistent across the four cohorts and according to smoking status. Sex-specific analyses suggested that this association was confined to the male population. Further, the results showed increased lymphoma HRs for PM2.5 (HR = 1.16; 95% CI: 1.02-1.34) and potassium content of PM2.5, which were consistent in two-pollutant models and according to sex. Our results suggest that air pollution at the residence may be associated with adult leukemia and lymphoma.
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Affiliation(s)
- Tahir Taj
- Danish Cancer Institute, Strandboulevarden 49, 2100, Copenhagen, Denmark.
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland.
| | | | - Zorana J Andersen
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark.
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria; Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria.
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College, London, United Kingdom.
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom; Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom.
| | - Ole Hertel
- Department of Ecoscience, Aarhus University, Roskilde, Denmark.
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Germany.
| | | | - Jeanette T Jørgensen
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford GU2 7XH, United Kingdom.
| | - Anton Lager
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Shuo Liu
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden.
| | - Gianluca Severi
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP UMR1018, 94805, Villejuif, France; Department of Statistics, Computer Science, Applications "G. Parenti" (DISIA), University of Florence, Italy.
| | - Caroline Besson
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" Team, CESP UMR1018, 94805, Villejuif, France.
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany; Chair of Epidemiology, Ludwig Maximilians Universität München, Munich, Germany.
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden.
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Mette Sørensen
- Danish Cancer Institute, Strandboulevarden 49, 2100, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark.
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology, Lazio Region Health Service, ASL Roma 1, Rome, Italy.
| | - Anne Tjønneland
- Danish Cancer Institute, Strandboulevarden 49, 2100, Copenhagen, Denmark.
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Ole Raaschou-Nielsen
- Danish Cancer Institute, Strandboulevarden 49, 2100, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, DK-4000 Roskilde, Denmark.
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Hvidtfeldt UA, Chen J, Rodopoulou S, Strak M, de Hoogh K, Andersen ZJ, Bellander T, Brandt J, Forastiere F, Brynedal B, Hertel O, Hoffmann B, Katsouyanni K, Ketzel M, Leander K, Magnusson PKE, Nagel G, Pershagen G, Rizzuto D, Samoli E, So R, Stafoggia M, Tjønneland A, Weinmayr G, Wolf K, Zitt E, Brunekreef B, Hoek G, Raaschou-Nielsen O. Multiple myeloma risk in relation to long-term air pollution exposure - A pooled analysis of four European cohorts. ENVIRONMENTAL RESEARCH 2023; 239:117230. [PMID: 37806476 DOI: 10.1016/j.envres.2023.117230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/08/2023] [Accepted: 09/09/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Air pollution is a growing concern worldwide, with significant impacts on human health. Multiple myeloma is a type of blood cancer with increasing incidence. Studies have linked air pollution exposure to various types of cancer, including leukemia and lymphoma, however, the relationship with multiple myeloma incidence has not been extensively investigated. METHODS We pooled four European cohorts (N = 234,803) and assessed the association between residential exposure to nitrogen dioxide (NO2), fine particles (PM2.5), black carbon (BC), and ozone (O3) and multiple myeloma. We applied Cox proportional hazards models adjusting for potential confounders at the individual and area-level. RESULTS During 4,415,817 person-years of follow-up (average 18.8 years), we observed 404 cases of multiple myeloma. The results of the fully adjusted linear analyses showed hazard ratios (95% confidence interval) of 0.99 (0.84, 1.16) per 10 μg/m³ NO2, 1.04 (0.82, 1.33) per 5 μg/m³ PM2.5, 0.99 (0.84, 1.18) per 0.5 10-5 m-1 BCE, and 1.11 (0.87, 1.41) per 10 μg/m³ O3. CONCLUSIONS We did not observe an association between long-term ambient air pollution exposure and incidence of multiple myeloma.
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Affiliation(s)
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland; University of Basel, Basel, Switzerland
| | - Zorana J Andersen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate - interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College, London, UK
| | - Boel Brynedal
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Ole Hertel
- Departments of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, GU2 7XH, United Kingdom
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, And Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Rina So
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | - Anne Tjønneland
- The Danish Cancer Institute, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria; Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Ole Raaschou-Nielsen
- The Danish Cancer Institute, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
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23
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Lim EH, Franklin P, Trevenen ML, Nieuwenhuijsen M, Yeap BB, Almeida OP, Hankey GJ, Golledge J, Etherton-Beer C, Flicker L, Robinson S, Heyworth J. Exposure to low-level ambient air pollution and the relationship with lung and bladder cancer in older men, in Perth, Western Australia. Br J Cancer 2023; 129:1500-1509. [PMID: 37684355 PMCID: PMC10628106 DOI: 10.1038/s41416-023-02411-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 08/06/2023] [Accepted: 08/18/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Air pollution is a cause of lung cancer and is associated with bladder cancer. However, the relationship between air pollution and these cancers in regions of low pollution is unclear. We investigated associations between fine particulate matter (PM2.5), nitrogen dioxide, and black carbon (BC), and both these cancers in a low-pollution city. METHODS A cohort of 11,679 men ≥65 years old in Perth (Western Australia) were followed from 1996-1999 until 2018. Pollutant concentrations, as a time-varying variable, were estimated at participants' residential addresses using land use regression models. Incident lung and bladder cancer were identified through the Western Australian Cancer Registry. Risks were estimated using Cox proportional-hazard models (age as the timescale), adjusting for smoking, socioeconomic status, and co-pollutants. RESULTS Lung cancer was associated with PM2.5 and BC in the adjusted single-pollutant models. A weak positive association was observed between ambient air pollution and squamous cell lung carcinoma but not lung adenocarcinoma. Positive associations were observed with bladder cancer, although these were not statistically significant. Associations were attenuated in two-pollutant models. CONCLUSION Low-level ambient air pollution is associated with lung, and possibly bladder, cancer among older men, suggesting there is no known safe level for air pollution as a carcinogen.
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Affiliation(s)
- Elizabeth H Lim
- School of Population and Global Health, The University of Western Australia, Crawley, WA, Australia
| | - Peter Franklin
- School of Population and Global Health, The University of Western Australia, Crawley, WA, Australia.
| | - Michelle L Trevenen
- Western Australian Centre for Health and Ageing, The University of Western Australia, Crawley, WA, Australia
| | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health - Campus MAR, Barcelona Biomedical Research Park, Barcelona, Spain
| | - Bu B Yeap
- Medical School, The University of Western Australia, Crawley, WA, Australia
- Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, WA, Australia
| | - Osvaldo P Almeida
- Western Australian Centre for Health and Ageing, The University of Western Australia, Crawley, WA, Australia
| | - Graeme J Hankey
- Medical School, The University of Western Australia, Crawley, WA, Australia
- Perron Institute for Neurological and Translational Science, Perth, WA, Australia
| | - Jonathan Golledge
- Queensland Research Centre for Peripheral Vascular Disease, James Cook University and Townsville University Hospital, Townsville, QLD, Australia
| | - Christopher Etherton-Beer
- Western Australian Centre for Health and Ageing, The University of Western Australia, Crawley, WA, Australia
| | - Leon Flicker
- Western Australian Centre for Health and Ageing, The University of Western Australia, Crawley, WA, Australia
| | - Suzanne Robinson
- Curtin School of Population Health, Curtin University, Perth, WA, Australia
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Burwood, VIC, Australia
| | - Jane Heyworth
- School of Population and Global Health, The University of Western Australia, Crawley, WA, Australia.
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Rostami C, Feyzmanesh A, Karimi A, Daliri S. Geographical Distribution of Colorectal Cancer in Southwestern Iran Between Years 2011 and 2019. THE TURKISH JOURNAL OF GASTROENTEROLOGY : THE OFFICIAL JOURNAL OF TURKISH SOCIETY OF GASTROENTEROLOGY 2023; 34:998-1005. [PMID: 37681264 PMCID: PMC10645291 DOI: 10.5152/tjg.2023.22666] [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: 09/24/2022] [Accepted: 12/27/2022] [Indexed: 09/09/2023]
Abstract
BACKGROUND/AIMS Colorectal cancer is one of the most common cancers in the world. Various genetic, individual, and environmental factors are associated with this disease. Today, the role of environmental and geographical factors has been considered. Accordingly, the present study was conducted to determine the cumulative incidence and geographical distribution of colorectal cancer in Khuzestan province. MATERIALS AND METHODS This study was performed ecologically to determine the cumulative incidence of colorectal cancer and its geographical distribution in Khuzestan province between 2011 and 2019. The required information was extracted from the cancer registration program of the Ministry of Health and after refinement and replication. RESULTS The cumulative incidence of colorectal cancer in Khuzestan province between 2011 and 2019 was estimated at 40.18 per 100 000 people. The highest cumulative incidence was related to Ahvaz city (95.87 per 100 000 people) and the lowest was related to DashtAzadegan city (25.35 per 100 000 people). The highest cumulative incidence of colorectal cancer, based on climate conditions, is in dry geographical areas (63.77 per 100 000 people), based on average annual rainfall, is in areas with an average rainfall of 100-200 mm (66.28 per 100 000 people), and based on land use, belonged to areas with agricultural use (74.57 per 100 000 people). CONCLUSION The cumulative incidence of colorectal cancer is relatively high in Khuzestan province. The cumulative incidence of the disease was higher in the central regions of the province than in other regions. Also, based on geographical areas, the cumulative incidence of the disease was higher in areas with arid climates, the average rainfall was 100-200 mm, and in areas with agricultural land use.
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Affiliation(s)
- Changiz Rostami
- Cancer, Environmental and Petroleum Pollutants Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | - Arezoo Karimi
- Department of Epidemiology, Shahroud University of Medical Sciences Faculty of Public Health, Shahroud, Iran
| | - Salman Daliri
- Clinical Research Development Unit, Imam Hossein Hospital, Shahroud University of Medical Sciences, Shahroud, Iran
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Shen LT, Ge MW, Hu FH, Jia YJ, Tang W, Zhang WQ, Zhao DY, Shen WQ, Chen HL. The connection between six common air pollution particles and adult brain tumors: a meta-analysis of 26,217,930 individuals. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:108525-108537. [PMID: 37783991 DOI: 10.1007/s11356-023-29955-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/14/2023] [Indexed: 10/04/2023]
Abstract
Environmental air pollutants (black carbon (BC), nitrogen oxides (NOx), particulate matter with diameter < 2.5 μm (PM2.5), nitrogen dioxide (NO2), particulate matter with diameter <10 μm (PM10), and ozone (O3)) are one of the major menaces to mankind's health globally. This analysis reviews the association between exposure to these air pollutants and the chance of developing brain tumors in adults (total brain tumors, malignant brain tumors, and benign brain tumors). Studies published by April 2022 were searched. Raw effect sizes were converted to standardized effect sizes per 10 μg/m3 increase. Random effect models were applied to calculate combined effect size and 95% confidence intervals (CIs) were computed. A total of 8 articles were included for meta-analysis. The pooled effect size (ES) for per 10 μg/m3 BC intake was 1.67 (95% CI: 1.25, 2.22), P = 0.449. For every 10 μg/m3 rise in NO2 concentration, ES was 1.03 (95% CI: 1.01, 1.05), P = 0.319. Meanwhile, there was a boundary association between NOx and adult brain tumors (ES and 95% CI: 1.01; 1.00, 1.01/10 μg/m3; P = 0.716). While there was no conjunction between PM2.5, PM10, O3 (PM2.5: ES and 95% CI: 1.04; 0.99, 1.08/10 μg/m3; P = 0.834; PM10: ES and 95% CI: 1.01; 0.97, 1.04/10 μg/m3; P = 0.627; O3: ES and 95% CI: 0.97; 0.94, 1.00/10 μg/m3; P = 0.253). This research shows testimony of a significant link between air pollutants and brain tumors in adults, especially when exposed to BC, NO2, and NOx. This evidence emphasizes the importance of improving air quality as part of a comprehensive approach to prevent the occurrence and deterioration of brain tumors.
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Affiliation(s)
- Lu-Ting Shen
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Meng-Wei Ge
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Fei-Hong Hu
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Yi-Jie Jia
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Wen Tang
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Wan-Qing Zhang
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Dan-Yan Zhao
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Wang-Qin Shen
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Hong-Lin Chen
- School of Public Health, Nantong University, Nantong, Jiangsu, People's Republic of China.
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Shahzadi C, Di Serafino A, Aruffo E, Mascitelli A, Di Carlo P. A549 as an In Vitro Model to Evaluate the Impact of Microplastics in the Air. BIOLOGY 2023; 12:1243. [PMID: 37759642 PMCID: PMC10525880 DOI: 10.3390/biology12091243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023]
Abstract
Airborne microplastics raise significant concerns due to their potential health impacts. Having a small size, larger surface area, and penetrative ability into the biological system, makes them hazardous to health. This review article compiles various studies investigating the mechanism of action of polystyrene micro- and nanoplastics affecting lung epithelial cells A549. These inhalable microplastics damage the respiratory system, by triggering a proinflammatory environment, genotoxicity, oxidative stress, morphological changes, and cytotoxic accumulation in A549 cells. PS-NP lung toxicity depends on various factors such as size, surface modifications, concentration, charge, and zeta potential. However, cellular uptake and cytotoxicity mechanisms depend on the cell type. For A549 cells, PS-NPs are responsible for energy imbalance by mitochondrial dysfunction, oxidative stress-mediated cytotoxicity, immunomodulation, and apoptosis. Additionally, PS-NPs have the ability to traverse the placental barrier, posing a risk to offspring. Despite the advancements, the precise mechanisms underlying how prolonged exposure to PS-NPs leads to the development and progression of lung diseases have unclear points, necessitating further investigations to unravel the root cause. This review also sheds light on data gaps, inconsistencies in PS-Nos research, and provides recommendations for further research in this field.
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Affiliation(s)
- Chman Shahzadi
- Center of Advanced Studies and Technology (CAST), University of “G. d’ Annunzio” Chieti Pescara, 66100 Chieti, Italy; (C.S.); (A.D.S.); (E.A.); (P.D.C.)
- University School for Advanced Studies IUSS Pavia, 27100 Pavia, Italy
| | - Alessandra Di Serafino
- Center of Advanced Studies and Technology (CAST), University of “G. d’ Annunzio” Chieti Pescara, 66100 Chieti, Italy; (C.S.); (A.D.S.); (E.A.); (P.D.C.)
| | - Eleonora Aruffo
- Center of Advanced Studies and Technology (CAST), University of “G. d’ Annunzio” Chieti Pescara, 66100 Chieti, Italy; (C.S.); (A.D.S.); (E.A.); (P.D.C.)
- Department of Advanced Technologies in Medicine and Dentistry, University of “G. d’ Annunzio” Chieti Pescara, 66100 Chieti, Italy
| | - Alessandra Mascitelli
- Center of Advanced Studies and Technology (CAST), University of “G. d’ Annunzio” Chieti Pescara, 66100 Chieti, Italy; (C.S.); (A.D.S.); (E.A.); (P.D.C.)
- Department of Advanced Technologies in Medicine and Dentistry, University of “G. d’ Annunzio” Chieti Pescara, 66100 Chieti, Italy
| | - Piero Di Carlo
- Center of Advanced Studies and Technology (CAST), University of “G. d’ Annunzio” Chieti Pescara, 66100 Chieti, Italy; (C.S.); (A.D.S.); (E.A.); (P.D.C.)
- Department of Advanced Technologies in Medicine and Dentistry, University of “G. d’ Annunzio” Chieti Pescara, 66100 Chieti, Italy
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Hsu YC, Cheng SYH, Chien MN, Cheng SP. Impact of social and economic factors on global thyroid cancer incidence and mortality. Eur Arch Otorhinolaryngol 2023; 280:4185-4193. [PMID: 37095323 DOI: 10.1007/s00405-023-07992-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 04/19/2023] [Indexed: 04/26/2023]
Abstract
PURPOSE The incidence of thyroid cancer has increased substantially over the past few decades and is partially explained by overdiagnosis. Geographical variations in incidence rates were reported to be related to national development status. This study aimed to gain deeper insights into global thyroid cancer burden by incorporating additional social and economic factors to account for cross-national disparities. METHODS We performed a multivariate analysis of age-standardized incidence and mortality data from the GLOBOCAN 2020 database for 126 countries that had more than 100 incident cases of thyroid cancer. The human development index (HDI), current health expenditure, and additional Global Health Observatory indicators were extracted from multiple sources. RESULTS Age-standardized incidence was highly correlated with HDI (standardized coefficient beta = 0.523, 95% confidence interval [CI] = 0.275-0.771) among the countries studied. The prevalence of raised fasting blood glucose was associated with age-standardized mortality (beta = 0.277, 95% CI = 0.038-0.517). Generally, the mortality-to-incidence ratio was higher in males than in females. In multivariate analysis, HDI (beta = - 0.767, 95% CI = - 0.902 to - 0.633), current health expenditure (beta = 0.265, 95% CI = 0.137-0.394), and fine particulate matter (PM2.5) concentrations (beta = 0.192, 95% CI = 0.086-0.298) were associated with mortality-to-incidence ratios. CONCLUSIONS National developments gauged by HDI explain the majority of the variation in incidence rates of thyroid cancer but play a smaller role in disparities in mortality rates. The association between air pollution and thyroid cancer outcomes warrants further investigation.
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Affiliation(s)
- Yi-Chiung Hsu
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan City, Taiwan
| | | | - Ming-Nan Chien
- Division of Endocrinology and Metabolism, Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, School of Medicine, Mackay Medical College, New Taipei City, Taiwan
| | - Shih-Ping Cheng
- Department of Medicine, School of Medicine, Mackay Medical College, New Taipei City, Taiwan.
- Department of Surgery, MacKay Memorial Hospital, 92, Chung-Shan North Road, Section 2, Taipei, 104215, Taiwan.
- Institute of Biomedical Sciences, MacKay Medical College, New Taipei City, Taiwan.
- Department of Pharmacology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
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Hu J, Yu L, Yang Z, Qiu J, Li J, Shen P, Lin H, Shui L, Tang M, Jin M, Chen K, Wang J. Long-Term Exposure to PM 2.5 and Mortality: A Cohort Study in China. TOXICS 2023; 11:727. [PMID: 37755738 PMCID: PMC10534778 DOI: 10.3390/toxics11090727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 08/17/2023] [Accepted: 08/19/2023] [Indexed: 09/28/2023]
Abstract
We investigated the association of long-term exposure to atmospheric PM2.5 with non-accidental and cause-specific mortality in Yinzhou, China. From July 2015 to January 2018, a total of 29,564 individuals aged ≥ 40 years in Yinzhou were recruited for a prospective cohort study. We used the Cox proportional-hazards model to analyze the relationship of the 2-year average concentration of PM2.5 prior to the baseline with non-accidental and cause-specific mortality. The median PM2.5 concentration was 36.51 μg/m3 (range: 25.57-45.40 μg/m3). In model 4, the hazard ratios per 10 μg/m3 increment in PM2.5 were 1.25 (95%CI: 1.04-1.50) for non-accidental mortality and 1.38 (95%CI:1.02-1.86) for cardiovascular disease mortality. We observed no associations between PM2.5 and deaths from respiratory disease or cancer. In the subgroup analysis, interactions were observed between PM2.5 and age, as well as preventive measures on hazy days. The observed association between long-term exposure to atmospheric PM2.5 at a relatively moderate concentration and the risk of non-accidental and cardiovascular disease mortality among middle-aged and elderly Chinese adults could provide evidence for government decision-makers to revise environmental policies towards a more stringent standard.
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Affiliation(s)
- Jingjing Hu
- Department of Public Health, and Department of Endocrinology of the Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children’s Health, Hangzhou 310058, China
| | - Luhua Yu
- Department of Public Health, and Department of Endocrinology of the Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children’s Health, Hangzhou 310058, China
| | - Zongming Yang
- Department of Public Health, and Department of Endocrinology of the Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children’s Health, Hangzhou 310058, China
| | - Jie Qiu
- Department of Public Health, and Department of Endocrinology of the Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children’s Health, Hangzhou 310058, China
| | - Jing Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610065, China
| | - Peng Shen
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China
| | - Hongbo Lin
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China
| | - Liming Shui
- Yinzhou District Health Bureau of Ningbo, Ningbo 315040, China
| | - Mengling Tang
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Mingjuan Jin
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Kun Chen
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jianbing Wang
- Department of Public Health, and Department of Endocrinology of the Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children’s Health, Hangzhou 310058, China
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Medici B, Riccò B, Caffari E, Zaniboni S, Salati M, Spallanzani A, Garajovà I, Benatti S, Chiavelli C, Dominici M, Gelsomino F. Early Onset Metastatic Colorectal Cancer: Current Insights and Clinical Management of a Rising Condition. Cancers (Basel) 2023; 15:3509. [PMID: 37444619 DOI: 10.3390/cancers15133509] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/19/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
Despite a recent overall decrease in colorectal cancer (CRC) incidence and mortality, there has been a significant rise in CRC diagnoses in young adults. Early onset colorectal cancer (EOCRC) is defined as CRC diagnosed before the age of 50. Possible predisposing conditions include not only genetic syndromes but also other risk factors, such as microbiome alteration, antibiotic exposure, obesity, diabetes mellitus, and inflammatory bowel disease. EOCRC tends to be diagnosed later than in the older counterpart because of a lack of awareness and the fact that screening for CRC usually starts at the age of 50. Furthermore, CRC in young adults seems to be related to unique molecular features and more aggressive clinical behavior. This paper aims to provide an in-depth review of this poorly understood subject, with a comprehensive review of the state of the art and considerations for future perspectives.
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Affiliation(s)
- Bianca Medici
- Department of Oncology and Hematology, Division of Oncology, University Hospital of Modena, 41124 Modena, Italy
| | - Beatrice Riccò
- Department of Oncology and Hematology, Division of Oncology, University Hospital of Modena, 41124 Modena, Italy
| | - Eugenia Caffari
- Department of Oncology and Hematology, Division of Oncology, University Hospital of Modena, 41124 Modena, Italy
| | - Silvia Zaniboni
- Department of Oncology and Hematology, Division of Oncology, University Hospital of Modena, 41124 Modena, Italy
| | - Massimiliano Salati
- Department of Oncology and Hematology, Division of Oncology, University Hospital of Modena, 41124 Modena, Italy
| | - Andrea Spallanzani
- Department of Oncology and Hematology, Division of Oncology, University Hospital of Modena, 41124 Modena, Italy
| | - Ingrid Garajovà
- Medical Oncology Unit, University Hospital of Parma, 43100 Parma, Italy
| | - Stefania Benatti
- Department of Oncology and Hematology, Division of Oncology, University Hospital of Modena, 41124 Modena, Italy
| | - Chiara Chiavelli
- Laboratory of Cellular Therapy, Division of Oncology, Department of Medical and Surgical Sciences for Children & Adults, University of Modena and Reggio Emilia, 41121 Modena, Italy
| | - Massimo Dominici
- Department of Oncology and Hematology, Division of Oncology, University Hospital of Modena, 41124 Modena, Italy
| | - Fabio Gelsomino
- Department of Oncology and Hematology, Division of Oncology, University Hospital of Modena, 41124 Modena, Italy
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Sun D, Liu C, Zhu Y, Yu C, Guo Y, Sun D, Pang Y, Pei P, Du H, Yang L, Chen Y, Meng X, Liu Y, Zhang J, Schmidt D, Avery D, Chen J, Chen Z, Lv J, Kan H, Li L. Long-Term Exposure to Fine Particulate Matter and Incidence of Esophageal Cancer: A Prospective Study of 0.5 Million Chinese Adults. Gastroenterology 2023; 165:61-70.e5. [PMID: 37059339 PMCID: PMC7615725 DOI: 10.1053/j.gastro.2023.03.233] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 02/22/2023] [Accepted: 03/02/2023] [Indexed: 04/16/2023]
Abstract
BACKGROUND & AIMS Evidence is sparse and inconclusive on the association between long-term fine (≤2.5 μm) particulate matter (PM2.5) exposure and esophageal cancer. We aimed to assess the association of PM2.5 with esophageal cancer risk and compared the esophageal cancer risk attributable to PM2.5 exposure and other established risk factors. METHODS This study included 510,125 participants without esophageal cancer at baseline from China Kadoorie Biobank. A high-resolution (1 × 1 km) satellite-based model was used to estimate PM2.5 exposure during the study period. Hazard ratios (HR) and 95% CIs of PM2.5 with esophageal cancer incidence were estimated using Cox proportional hazard model. Population attributable fractions for PM2.5 and other established risk factors were estimated. RESULTS There was a linear concentration-response relationship between long-term PM2.5 exposure and esophageal cancer. For each 10-μg/m3 increase in PM2.5, the HR was 1.16 (95% CI, 1.04-1.30) for esophageal cancer incidence. Compared with the first quarter of PM2.5 exposure, participants in the highest quarter had a 1.32-fold higher risk for esophageal cancer, with an HR of 1.32 (95% CI, 1.01-1.72). The population attributable risk because of annual average PM2.5 concentration ≥35 μg/m3 was 23.3% (95% CI, 6.6%-40.0%), higher than the risks attributable to lifestyle risk factors. CONCLUSIONS This large prospective cohort study of Chinese adults found that long-term exposure to PM2.5 was associated with an elevated risk of esophageal cancer. With stringent air pollution mitigation measures in China, a large reduction in the esophageal cancer disease burden can be expected.
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Affiliation(s)
- Dong Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Cong Liu
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, National Health Commission Key Laboratory of Health Technology Assessment, Integrated Research on Disaster Risk, International Centers of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Yunqing Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yu Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, Beijing, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Xia Meng
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, National Health Commission Key Laboratory of Health Technology Assessment, Integrated Research on Disaster Risk, International Centers of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Jun Zhang
- Suzhou Center for Disease Prevention and Control, Suzhou, China
| | - Dan Schmidt
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Daniel Avery
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
| | - Haidong Kan
- School of Public Health, Key Laboratory of Public Health Safety of the Ministry of Education, National Health Commission Key Laboratory of Health Technology Assessment, Integrated Research on Disaster Risk, International Centers of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China.
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
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Li ZH, Wang XM, Xiang JX, Nan Y, Chen YJ, Zhang PD, Liu D, Shen D, Zhang XR, Zhong WF, Chen PL, Huang QM, Song WQ, Qiu CS, Liang F, Li C, Mao C. Associations of long-term joint exposure to various ambient air pollutants with all-cause and cause-specific mortality: evidence from a large population-based cohort study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-28224-2. [PMID: 37365359 DOI: 10.1007/s11356-023-28224-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 06/08/2023] [Indexed: 06/28/2023]
Abstract
The association between long-term joint exposure to all kinds of ambient air pollutants and the risk of mortality is not known. Our study prospectively assessed the joint associations of various air pollutants with cause-specific and all-cause mortality risk and identified potential modifying factors affecting these associations. A total of 400,259 individuals aged 40-70 years were included in this study. Information on PM10, PM2.5-10, PM2.5, NO2, and NOx was collected. A weighted air pollution score was calculated to assess joint exposure to the above air pollutants. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models. During a median of 12.0 years (4,733,495 person-years) of follow-up, 21,612 deaths were recorded, including 7097 deaths from cardiovascular disease and 11,557 deaths from cancer. The adjusted HRs of all-cause mortality were 1.39 (95% CI: 1.29-1.50), 1.86 (95% CI: 1.63-2.13), 1.12 (95% CI: 1.10-1.14), and 1.04 (95% CI: 1.03-1.05) for every 10-ug/m3 increase in PM10, PM2.5, NO2, and NOx, respectively. The adjusted HRs associated with the air pollution score (the highest quintile versus the lowest quintile) were 1.24 (95% CI: 1.19-1.30) for all-cause mortality, 1.33 (95% CI: 1.23-1.43) for cardiovascular mortality, and 1.16 (95% CI: 1.09-1.23) for cancer mortality. Furthermore, we found that the air pollution score was associated with a linear dose-response increase in mortality risk (all P for linearity < 0.001). The findings highlight the importance of a comprehensive assessment of various air pollutants.
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Affiliation(s)
- Zhi-Hao Li
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiao-Meng Wang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Jia-Xuan Xiang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Ying Nan
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Ying-Jun Chen
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Pei-Dong Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
- The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Dan Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Dong Shen
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xi-Ru Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Wen-Fang Zhong
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Pei-Liang Chen
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Qing-Mei Huang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Wei-Qi Song
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Cheng-Shen Qiu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Fen Liang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Chuan Li
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Chen Mao
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
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Vargas VMF, da Silva Júnior FMR, Silva Pereira TD, Silva CSD, Coronas MV. A comprehensive overview of genotoxicity and mutagenicity associated with outdoor air pollution exposure in Brazil. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART B, CRITICAL REVIEWS 2023; 26:172-199. [PMID: 36775848 DOI: 10.1080/10937404.2023.2175092] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
This review examined the mutagenicity and genotoxicity associated with exposure to outdoor air pollutants in Brazil. A search was performed on the Web of Science database using a combination of keywords that resulted in 134 articles. After applying exclusion criteria, a total of 75 articles were obtained. The articles were classified into three categories: (1) studies with plants and animals, (2) in vitro studies, and (3) human biomonitoring. The investigations were conducted in 11 of 27 Brazilian states with the highest prevalence in the southeast and south regions. Only 5 investigations focused on the effects of burning biomass on the quality of outdoor air. Plants, especially Tradescantia pallida, were the main air pollution biomonitoring tool. When available, a significant association between levels of air pollutants and genetic damage was described. Among the in vitro studies, Salmonella/microsome is the most used test to evaluate mutagenesis of outdoor air in Brazil (n = 26). Human biomonitoring studies were the least frequent category (n = 18). Most of the investigations utilized micronucleus bioassay, in oral mucosa cells (n = 15) and lymphocytes (n = 5), and the comet assay (n = 6). The analysis in this study points to the existence of gaps in genotoxicity studies and our findings indicate that future studies need to address the variety of potential sources of pollution existing in Brazil. In addition to extent of the impacts, consideration should be given to the enormous Brazilian biodiversity, as well as the determination of the role of socioeconomic inequality of the population in the observed outcomes.
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Affiliation(s)
- Vera Maria Ferrão Vargas
- Programa de Pós-graduação em Ecologia, Universidade Federal do Rio Grande do Sul (UFRGS). Av. Bento Gonçalves, Porto Alegre, RS, Brazil
| | | | - Tatiana da Silva Pereira
- Laboratório de Aquicultura de Peixes Ornamentais do Xingu, Universidade Federal do Pará (UFPA), Altamira, PA, Brazil
| | - Cristiane Silva da Silva
- Programa de Pós-graduação em Ecologia, Universidade Federal do Rio Grande do Sul (UFRGS). Av. Bento Gonçalves, Porto Alegre, RS, Brazil
- Instituto Federal de Educação, Ciênciae Tecnologia do Rio Grande do Sul (IFRS), Canoas, RS, Brazil
| | - Mariana Vieira Coronas
- Coordenaç'ão Acad"êmica, Universidade Federal de Santa Maria (UFSM), Cachoeira do Sul, RS, Brazil
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Gan T, Bambrick H, Tong S, Hu W. Air pollution and liver cancer: A systematic review. J Environ Sci (China) 2023; 126:817-826. [PMID: 36503807 DOI: 10.1016/j.jes.2022.05.037] [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: 03/04/2022] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 06/17/2023]
Abstract
Air pollution has previously been linked to several adverse health outcomes, but the potential association between air pollution and liver cancer remains unclear. We searched PubMed, EMBASE, and Web of Science from inception to 10 October 2021, and manually reviewed the references of relevant papers to further identify any related literature investigating possible associations between air pollution and liver cancer. Risk estimates values were represented by statistical associations based on quantitative analyses. A total of 13 cohort studies obtained from 11 articles were included, with 10,961,717 participants. PM2.5 was the most frequently examined pollutant (included in 11 studies), followed by NO2 and NOx (included in 6 studies), and fewer studies focused on other pollutants (PM2.5 absorbance, PM10, PM2.5-10, O3, and BC). In all the 16 associations for liver cancer mortality, 14 associations reported the effect of PM2.5 on liver cancer mortality. Eight associations on PM2.5 were significant, showing a suggestive association between PM2.5 and liver cancer mortality. Among 24 associations shown by risk estimates for liver cancer incidence, most associations were not statistically significant. For other air pollutants, no positive associations were presented in these studies. PM2.5 was the most frequently examined pollutant, followed by NO2 and NOx, and fewer studies focused on other pollutants. PM2.5 was associated with liver cancer mortality, but there was no association for other air pollutants. Future research should use advanced statistical methods to further assess the impact of multiple air pollutants on liver cancer in the changing socio-environmental context.
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Affiliation(s)
- Ting Gan
- School of Public Health and Social Work, Queensland University of Technology, Queensland 4059, Australia
| | - Hilary Bambrick
- School of Public Health and Social Work, Queensland University of Technology, Queensland 4059, Australia; National Centre for Epidemiology and Population Health, Australian National University, Australian Capital Territory 2601, Australia
| | - Shilu Tong
- School of Public Health and Social Work, Queensland University of Technology, Queensland 4059, Australia; Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Wenbiao Hu
- School of Public Health and Social Work, Queensland University of Technology, Queensland 4059, Australia.
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Fan Z, Li Y, Wei J, Chen G, Wang R, Xu R, Liu T, Lv Z, Huang S, Sun H, Liu Y. Long-term exposure to fine particulate matter and site-specific cancer mortality: A difference-in-differences analysis in Jiangsu province, China. ENVIRONMENTAL RESEARCH 2023; 222:115405. [PMID: 36736553 DOI: 10.1016/j.envres.2023.115405] [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: 12/27/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Accumulating studies have reported that chronic exposure to ambient fine particulate matter (PM2.5) can lead to adverse effects on lung cancer mortality; however, such chronic effects are less clear for mortality from other site-specific cancers. OBJECTIVE To explore the causal effect of long-term PM2.5 exposure on mortality from all-site and a variety of site-specific cancers in Jiangsu province, China during 2015-2020 using a difference-in-differences analysis. METHODS For each of 53 county-based spatial units in Jiangsu province, we calculated annual death counts for all-site cancer and 23 site-specific cancers. Using a validated high-resolution PM2.5 grid dataset, long-term PM2.5 exposure of a spatial unit within a given year was evaluated as the average of population-weighted annual concentrations during recent 10 years. Conditional Poisson regression models were employed to evaluate exposure-response associations adjusting for spatial and temporal variables, seasonal temperatures, relative humidity, and gross domestic product (GDP). RESULTS During the study period, we identified 947,337 adult cancer deaths in Jiangsu province. Each 1 μg/m3 increment in PM2.5 exposure was significantly associated with a 2.7% increase in the risk of all-site cancer mortality. PM2.5-mortality associations were also observed in cancer of lip, oral cavity and pharynx, stomach, colorectum, pancreas, lung, bone and joints, ovary, prostate, and lymphoma (all adjusted P < 0.05), with the relative risks ranging from 1.028 (95% confidence interval [CI]: 1.011, 1.046) for stomach cancer to 1.201 (95% CI: 1.120, 1.308) for bone and joints cancers. Exposure-response curves showed that these associations were close to linearity, though most of them had increasing slopes at high exposure levels. Overall, women and subjects in low GDP regions were more vulnerable to PM2.5 exposures. CONCLUSIONS Long-term exposure to ambient PM2.5 contributes to a higher risk of mortality from multiple site-specific cancers.
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Affiliation(s)
- Zhaoyu Fan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Yingxin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, 20740, USA
| | - Gongbo Chen
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Rui Wang
- Luohu District Chronic Disease Hospital, Shenzhen, Guangdong, 518020, China
| | - Ruijun Xu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Tingting Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Ziquan Lv
- Central Laboratory of Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, 518055, China
| | - Suli Huang
- Department of Environment and Health, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, 518055, China
| | - Hong Sun
- Department of Environment and Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, 210009, China.
| | - Yuewei Liu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China.
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Fu P, Li R, Sze SCW, Yung KKL. Associations between fine particulate matter and colorectal cancer: a systematic review and meta-analysis. REVIEWS ON ENVIRONMENTAL HEALTH 2023; 0:reveh-2022-0222. [PMID: 36810202 DOI: 10.1515/reveh-2022-0222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Colorectal cancer (CRC) is the second deadliest cancer worldwide. The impact of fine particulate matter (PM2.5) on many diseases is a global concern, yet its association with CRC is unclear. This study aimed to assess the effect of PM2.5 exposure on CRC. We searched PubMed, Web of Science, and Google Scholar databases for population-based articles published before September 2022, providing risk estimates with 95% confidence intervals (CI). Among 85,743 articles, we identified 10 eligible studies across multiple countries and regions in North America and Asia. We calculated the overall risk, incidence and mortality and performed subgroup analyses according to countries and regions. The results revealed an association between PM2.5 and increased risk of CRC (total risk, 1.19 [95% CI 1.12-1.28]; incidence, OR=1.18 [95% CI 1.09-1.28]; mortality, OR=1.21 [95% CI 1.09-1.35]). The elevated risks of CRC associated with PM2.5 were different across countries and regions, at 1.34 [95% CI 1.20-1.49], 1.00 [95% CI 1.00-1.00], 1.08 [95% CI 1.06-1.10], 1.18 [95% CI 1.07-1.29], 1.01 [95% CI 0.79-1.30], in the United States, China, Taiwan, Thailand, and Hong Kong, respectively. Incidence and mortality risks were higher in North America than those in Asia. In particular, the incidence and mortality were highest in the United States (1.61 [95% CI 1.38-1.89] and 1.29 [95% CI 1.17-1.42], respectively) than those in other countries. This study is the first comprehensive meta-analysis to find a strong association between PM2.5 exposure and increased CRC risk.
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Affiliation(s)
- Pengfei Fu
- Department of Biology, Faculty of Science, Hong Kong Baptist University, Hong Kong, China
- Golden Meditech Center for NeuroRegeneration Sciences, Hong Kong Baptist University, Hong Kong, China
| | - Ruijin Li
- Institute of Environmental Science, Shanxi University, Taiyuan, China
| | - Stephen Cho Wing Sze
- Department of Biology, Faculty of Science, Hong Kong Baptist University, Hong Kong, China
- Golden Meditech Center for NeuroRegeneration Sciences, Hong Kong Baptist University, Hong Kong, China
| | - Ken Kin Lam Yung
- Department of Biology, Faculty of Science, Hong Kong Baptist University, Hong Kong, China
- Golden Meditech Center for NeuroRegeneration Sciences, Hong Kong Baptist University, Hong Kong, China
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Liu H, Zhang X, Sun Z, Chen Y. Ambient Fine Particulate Matter and Cancer: Current Evidence and Future Perspectives. Chem Res Toxicol 2023; 36:141-156. [PMID: 36688945 DOI: 10.1021/acs.chemrestox.2c00216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
The high incidence of cancer has placed an enormous health and economic burden on countries around the world. In addition to evidence of epidemiological studies, conclusive evidence from animal experiments and mechanistic studies have also shown that morbidity and mortality of some cancers can be attributed to ambient fine particulate matter (PM2.5) exposure, especially in lung cancer. However, the underlying carcinogenetic mechanisms of PM2.5 remain unclear. Furthermore, in terms of risks of other types of cancer, both epidemiological and mechanistic evidence are more limited and scattered, and the results are also inconsistent. In order to sort out the carcinogenic effect of PM2.5, this paper reviews the association of cancers with PM2.5 based on epidemiological and biological evidence including genetic, epigenetic, and molecular mechanisms. The limitations of existing researches and the prospects for the future are also well clarified in this paper to provide insights for future studies.
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Affiliation(s)
- Hanrui Liu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, and Beijing Key Laboratory of Environment Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Xiaoke Zhang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, and Beijing Key Laboratory of Environment Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, and Beijing Key Laboratory of Environment Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Yueyue Chen
- Department of Toxicology and Sanitary Chemistry, School of Public Health, and Beijing Key Laboratory of Environment Toxicology, Capital Medical University, Beijing 100069, PR China
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Schmidt A, Mühl M, Brito WADS, Singer D, Bekeschus S. Antioxidant Defense in Primary Murine Lung Cells following Short- and Long-Term Exposure to Plastic Particles. Antioxidants (Basel) 2023; 12:antiox12020227. [PMID: 36829786 PMCID: PMC9952747 DOI: 10.3390/antiox12020227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/06/2023] [Accepted: 01/17/2023] [Indexed: 01/20/2023] Open
Abstract
Polystyrene nano- and micro-sized plastic particles (NMP) are one of the common plastic materials produced that dramatically pollute the environment, water, and oceanic habitats worldwide. NMP are continuously absorbed by the body through a number of routes, especially via intestinal ingestion, dermal uptake, and inhalation into the lung. Several studies provided evidence of NMP provoking oxidative stress and affecting cellular responses. Yet, the NMP effects on primary lung cells have not been studied. To this end, we isolated and cultured murine lung cells and exposed them short-term or long-term to polystyrene 0.2-6.0 µm-sized NMP. We studied cellular consequences regarding oxidative stress, morphology, and secretion profiling. Visualization, distribution, and expression analyses confirmed lung cells accumulating NMP and showed several significant correlations with particle size. Moreover, we found substantial evidence of biological consequences of small-scale NMP uptake in lung cells. Besides alterations of cytokine secretion profiles resulting in inflammatory responses, indicators of oxidative stress were identified that were accompanied by Nrf2 and β-catenin signaling changes. Our results serve as an important basis to point out the potential hazards of plastic contaminations and uptake in lung cells.
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Affiliation(s)
- Anke Schmidt
- ZIK Plasmatis, Leibniz Institute for Plasma Science and Technology (INP), Felix-Hausdorff-Str. 2, 17489 Greifswald, Germany
| | - Melissa Mühl
- ZIK Plasmatis, Leibniz Institute for Plasma Science and Technology (INP), Felix-Hausdorff-Str. 2, 17489 Greifswald, Germany
| | - Walison Augusto da Silva Brito
- ZIK Plasmatis, Leibniz Institute for Plasma Science and Technology (INP), Felix-Hausdorff-Str. 2, 17489 Greifswald, Germany
- Department of General Pathology, State University of Londrina, Rodovia Celso Garcia Cid, Londrina 86020-000, Brazil
| | - Debora Singer
- ZIK Plasmatis, Leibniz Institute for Plasma Science and Technology (INP), Felix-Hausdorff-Str. 2, 17489 Greifswald, Germany
- Department of Dermatology and Venerology, Rostock University Medical Center, Strempelstr. 13, 18057 Rostock, Germany
| | - Sander Bekeschus
- ZIK Plasmatis, Leibniz Institute for Plasma Science and Technology (INP), Felix-Hausdorff-Str. 2, 17489 Greifswald, Germany
- Correspondence:
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38
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Poulsen AH, Hvidtfeldt UA, Sørensen M, Pedersen JE, Ketzel M, Brandt J, Geels C, Christensen JH, Raaschou-Nielsen O. Air pollution with NO 2, PM 2.5, and elemental carbon in relation to risk of breast cancer- a nationwide case-control study from Denmark. ENVIRONMENTAL RESEARCH 2023; 216:114740. [PMID: 36356668 DOI: 10.1016/j.envres.2022.114740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 10/12/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
UNLABELLED Air pollution with particulate matter is an established lung carcinogen. Studies have suggested an association with breast cancer, but the evidence is inconsistent. METHODS From nationwide registers, we identified all breast cancer cases (n = 55 745) in Denmark between 2000 and 2014. We matched one control for each case on age and year of birth. We used a multi-scale dispersion model to estimate outdoor concentrations of particulate matter <2.5 μm (PM2.5), elemental carbon (EC) and nitrogen dioxide (NO2) as time-weighted average over all addresses up to 20 years prior to diagnosis. We calculated odds ratios (OR) and 95% confidence intervals (CI) by conditional logistic regression with adjustment for marital status, educational level, occupational status, personal income, region of origin, medication and area-level socio-economic indicators. RESULTS A 10 μg/m3 higher PM2.5 was associated with an OR for breast cancer of 1.21 (95% CI: 1.11-1.33). The corresponding ORs for EC (per 1 μg/m3) and NO2 (per 10 μg/m3) were 1.03 (95% CI: 1.00-1.07) and 1.03 (95% CI: 1.01-1.06), respectively. In multi-pollutant models, the OR for PM2.5 changed only little, whereas ORs for EC or NO2 approached the null. In an analysis of persons below 55 years, PM2.5 was associated with an OR of 1.32 (95% CI: 1.09-1.60) per 10 μg/m3 increase. CONCLUSION We found evidence of an association between the investigated air pollutants and breast cancer, especially PM2.5. There were indications that the association differed by age at diagnosis. We were not able to include all potential confounders and thus, results should be interpreted with caution.
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Affiliation(s)
| | | | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | | | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, United Kingdom
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
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Xu C, Zhang Q, Huang G, Huang J, Zhang H. The impact of PM2.5 on kidney. J Appl Toxicol 2023; 43:107-121. [PMID: 35671242 DOI: 10.1002/jat.4356] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 05/19/2022] [Accepted: 06/04/2022] [Indexed: 01/09/2023]
Abstract
PM2.5 poses a severe risk to kidneys, inducing kidney function decline, increasing the risk of suffering from chronic kidney diseases and promoting the occurrence and development of various renal tumors. The mechanism of PM2.5-induced renal injury may involve oxidative stress, inflammatory response, and cytotoxicity. This paper elaborated PM2.5-induced kidney damage and the corresponding possible mechanism so as to raise awareness of air pollution and reduce the damage to human body.
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Affiliation(s)
- Chunming Xu
- Department of Clinical Pathology, Weifang Medical University, Weifang, Shandong, China.,Neurologic Disorders and Regeneration Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, Shandong, China
| | - Qian Zhang
- Department of Clinical Pathology, Weifang Medical University, Weifang, Shandong, China.,Key Lab for Immunology in Universities of Shandong Province, Weifang Medical University, Weifang, Shandong, China
| | - Guochen Huang
- Department of Clinical Pathology, Weifang Medical University, Weifang, Shandong, China.,Key Lab for Immunology in Universities of Shandong Province, Weifang Medical University, Weifang, Shandong, China
| | - Jia Huang
- Neurologic Disorders and Regeneration Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, Shandong, China.,Department of Histology and Embryology, Weifang Medical University, Weifang, Shandong, China
| | - Hongxia Zhang
- Department of Clinical Pathology, Weifang Medical University, Weifang, Shandong, China.,Neurologic Disorders and Regeneration Repair Lab of Shandong Higher Education, Weifang Medical University, Weifang, Shandong, China.,Key Lab for Immunology in Universities of Shandong Province, Weifang Medical University, Weifang, Shandong, China
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40
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Kruger E, Toraih EA, Hussein MH, Shehata SA, Waheed A, Fawzy MS, Kandil E. Thyroid Carcinoma: A Review for 25 Years of Environmental Risk Factors Studies. Cancers (Basel) 2022; 14:cancers14246172. [PMID: 36551665 PMCID: PMC9777404 DOI: 10.3390/cancers14246172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 12/07/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
Environmental factors are established contributors to thyroid carcinomas. Due to their known ability to cause cancer, exposure to several organic and inorganic chemical toxicants and radiation from nuclear weapons, fallout, or medical radiation poses a threat to global public health. Halogenated substances like organochlorines and pesticides can interfere with thyroid function. Like phthalates and bisphenolates, polychlorinated biphenyls and their metabolites, along with polybrominated diethyl ethers, impact thyroid hormones biosynthesis, transport, binding to target organs, and impair thyroid function. A deeper understanding of environmental exposure is crucial for managing and preventing thyroid cancer. This review aims to investigate the relationship between environmental factors and the development of thyroid cancer.
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Affiliation(s)
- Eva Kruger
- School of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Eman A. Toraih
- Division of Endocrine and Oncologic Surgery, Department of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, USA
- Medical Genetics Unit, Department of Histology and Cell Biology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
- Correspondence: (E.A.T.); (M.S.F.)
| | - Mohammad H. Hussein
- Division of Endocrine and Oncologic Surgery, Department of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Shaimaa A. Shehata
- Department of Forensic Medicine and Clinical Toxicology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Amani Waheed
- Department of Community Medicine, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Manal S. Fawzy
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
- Department of Biochemistry, Faculty of Medicine, Northern Border University, Arar 1321, Saudi Arabia
- Correspondence: (E.A.T.); (M.S.F.)
| | - Emad Kandil
- Division of Endocrine and Oncologic Surgery, Department of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, USA
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Qi H, Liu Y, Li L, Zhao B. Optimization of Cancer Risk Assessment Models for PM 2.5-Bound PAHs: Application in Jingzhong, Shanxi, China. TOXICS 2022; 10:761. [PMID: 36548594 PMCID: PMC9781926 DOI: 10.3390/toxics10120761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/03/2022] [Accepted: 12/05/2022] [Indexed: 06/17/2023]
Abstract
The accurate evaluation of the carcinogenic risk of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) is crucial because of the teratogenic, carcinogenic, and mutagenic effects of PAHs. The best model out of six models was selected across three highly used categories in recent years, including the USEPA-recommended inhalation risk (Model I), inhalation carcinogen unit risk (Models IIA-IID), and three exposure pathways (inhalation, dermal, and oral) (Model III). Model I was found to be superior to the other models, and its predicted risk values were in accordance with the thresholds of PM2.5 and benzo[a]pyrene in ambient-air-quality standards. Models IIA and III overestimated the risk of cancer compared to the actual cancer incidence in the local population. Model IID can replace Models IIB and IIC as these models exhibited no statistically significant differences between each other. Furthermore, the exposure parameters were optimized for Model I and significant differences were observed with respect to country and age. However, the gender difference was not statistically significant. In conclusion, Model I is recommended as the more suitable model, but in assessing cancer risk in the future, the exposure parameters must be appropriate for each country.
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Affiliation(s)
- Hongxue Qi
- Department of Chemistry and Chemical Engineering, Jinzhong University, Jinzhong 030619, China
| | - Ying Liu
- Department of Sciences, Northeastern University, Shenyang 110819, China
| | - Lihong Li
- Department of Chemistry and Chemical Engineering, Jinzhong University, Jinzhong 030619, China
| | - Bingqing Zhao
- Department of Chemistry and Chemical Engineering, Jinzhong University, Jinzhong 030619, China
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Zhang HW, Tsai ZR, Kok VC, Peng HC, Chen YH, Tsai JJP, Hsu CY. Long-term ambient hydrocarbon exposure and incidence of urinary bladder cancer. Sci Rep 2022; 12:20799. [PMID: 36460770 PMCID: PMC9718740 DOI: 10.1038/s41598-022-25425-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 11/29/2022] [Indexed: 12/02/2022] Open
Abstract
Particulate matter and volatile organic compounds, including total hydrocarbons (THCs), are major ambient air pollutants. Primary nonmethane hydrocarbons (NMHCs) originate from vehicle emissions. The association between air pollution and urinary bladder cancer (UBC) is debatable. We investigated whether long-term exposure to ambient hydrocarbons increases UBC risk among people aged ≥ 20 years in Taiwan. Linkage dataset research with longitudinal design was conducted among 589,135 initially cancer-free individuals during 2000-2013; 12 airborne pollutants were identified. Several Cox models considering potential confounders were employed. The study outcomes were invasive or in situ UBC incidence over time. The targeted pollutant concentration was divided into three tertiles: T1/T2/T3. The mean age of individuals at risk was 42.5 (SD 15.7), and 50.5% of the individuals were men. The mean daily average over 10 years of airborne THC concentration was 2.25 ppm (SD 0.13), and NMHC was 0.29 ppm (SD 0.09). Both pollutants show long-term monotonic downward trend over time using the Mann-Kendall test. There was a dose-dependent increase in UBC at follow-up. UBC incidence per 100,000 enrollees according to T1/T2/T3 exposure to THC was 60.9, 221.2, and 651.8, respectively; it was 170.0/349.5/426.7 per 100,000 enrollees, corresponding to T1/T2/T3 exposure to NMHC, respectively. Without controlling for confounding air pollutants, the adjusted hazard ratio (adj.HR) was 1.83 (95% CI 1.75-1.91) per 0.13-ppm increase in THC; after controlling for PM2.5, adj.HR was even higher at 2.09 (95% CI 1.99-2.19). The adj.HR was 1.37 (95% CI 1.32-1.43) per 0.09-ppm increase in ambient NMHC concentration. After controlling for SO2 and CH4, the adj.HR was 1.10 (95% CI 1.06-1.15). Sensitivity analyses showed that UBC development risk was not sex-specific or influenced by diabetes status. Long-term exposure to THC and NMHC may be a risk factor for UBC development. Acknowledging pollutant sources can inform risk management strategies.
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Affiliation(s)
- Han-Wei Zhang
- Program for Aging, China Medical University, Taichung, Taiwan
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan
- Institute of Electrical Control Engineering, Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Biomedica Corporation, New Taipei, Taiwan
| | - Zhi-Ren Tsai
- Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
- Center for Precision Medicine Research, Asia University, Taichung, Taiwan
| | - Victor C Kok
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan.
- Division of Medical Oncology, Kuang Tien General Hospital Cancer Center, 117 Shatien Rd Shalu Dist., Taichung, 43303, Taiwan.
| | | | - Yau-Hung Chen
- Department of Chemistry, Tamkang University, New Taipei City, 25137, Taiwan
| | - Jeffrey J P Tsai
- Center for Precision Medicine Research, Asia University, Taichung, Taiwan
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan
| | - Chung Y Hsu
- Graduate Institute of Biomedical Science, China Medical University, Taichung, Taiwan
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Hvidtfeldt UA, Taj T, Chen J, Rodopoulou S, Strak M, de Hoogh K, Andersen ZJ, Bellander T, Brandt J, Fecht D, Forastiere F, Gulliver J, Hertel O, Hoffmann B, Jørgensen JT, Katsouyanni K, Ketzel M, Lager A, Leander K, Ljungman P, Magnusson PKE, Nagel G, Pershagen G, Rizzuto D, Samoli E, So R, Stafoggia M, Tjønneland A, Vermeulen R, Weinmayr G, Wolf K, Zhang J, Zitt E, Brunekreef B, Hoek G, Raaschou-Nielsen O. Long term exposure to air pollution and kidney parenchyma cancer - Effects of low-level air pollution: a Study in Europe (ELAPSE). ENVIRONMENTAL RESEARCH 2022; 215:114385. [PMID: 36154858 DOI: 10.1016/j.envres.2022.114385] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 09/05/2022] [Accepted: 09/17/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Particulate matter (PM) is classified as a group 1 human carcinogen. Previous experimental studies suggest that particles in diesel exhaust induce oxidative stress, inflammation and DNA damage in kidney cells, but the evidence from population studies linking air pollution to kidney cancer is limited. METHODS We pooled six European cohorts (N = 302,493) to assess the association of residential exposure to fine particles (PM2.5), nitrogen dioxide (NO2), black carbon (BC), warm season ozone (O3) and eight elemental components of PM2.5 (copper, iron, potassium, nickel, sulfur, silicon, vanadium, and zinc) with cancer of the kidney parenchyma. The main exposure model was developed for year 2010. We defined kidney parenchyma cancer according to the International Classification of Diseases 9th and 10th Revision codes 189.0 and C64. We applied Cox proportional hazards models adjusting for potential confounders at the individual and area-level. RESULTS The participants were followed from baseline (1985-2005) to 2011-2015. A total of 847 cases occurred during 5,497,514 person-years of follow-up (average 18.2 years). Median (5-95%) exposure levels of NO2, PM2.5, BC and O3 were 24.1 μg/m3 (12.8-39.2), 15.3 μg/m3 (8.6-19.2), 1.6 10-5 m-1 (0.7-2.1), and 87.0 μg/m3 (70.3-97.4), respectively. The results of the fully adjusted linear analyses showed a hazard ratio (HR) of 1.03 (95% confidence interval [CI]: 0.92, 1.15) per 10 μg/m³ NO2, 1.04 (95% CI: 0.88, 1.21) per 5 μg/m³ PM2.5, 0.99 (95% CI: 0.89, 1.11) per 0.5 10-5 m-1 BCE, and 0.88 (95% CI: 0.76, 1.02) per 10 μg/m³ O3. We did not find associations between any of the elemental components of PM2.5 and cancer of the kidney parenchyma. CONCLUSION We did not observe an association between long-term ambient air pollution exposure and incidence of kidney parenchyma cancer.
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Affiliation(s)
| | - Tahir Taj
- Danish Cancer Society Research Center, Copenhagen, Denmark; Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Zorana J Andersen
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Climate - Interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy; Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College, London, UK
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, UK
| | - Ole Hertel
- Departments of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jeanette T Jørgensen
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford GU2 7XH, United Kingdom
| | - Anton Lager
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Rina So
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | | | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Jiawei Zhang
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria; Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
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Mozafarian N, Hashemipour M, Yazdi M, Hani Tabaei Zavareh M, Hovsepian S, Heidarpour M, Taheri E. The Association between Exposure to Air Pollution and Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis. Adv Biomed Res 2022; 11:103. [PMID: 36660754 PMCID: PMC9843592 DOI: 10.4103/abr.abr_80_21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 01/30/2022] [Accepted: 01/31/2022] [Indexed: 01/21/2023] Open
Abstract
Background This systematic review and meta-analysis aimed to overview the observational studies on the association of exposure to air pollution and type 1 diabetes mellitus (T1DM). Materials and Methods Based on PRISMA guidelines, we systematically reviewed the databases of PubMed, Scopus, Embase, and Web of Science databases to determine the association of air pollution exposure and T1DM. Quality assessment of the papers was evaluated using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for observational studies. The odds ratios (OR) and their 95% confidence intervals (CI) were calculated to assess the strength of the associations between air pollutants (gases and particulate matter air pollutants including PM10, PM2.5, NO2, volatile organic compound, SO4, SO2, O3) and T1DM. Results Out of 385 initially identified papers, 6 studies were used for this meta-analysis. Fixed effects meta-analysis showed a significant association between per 10 μg/m3 increase in O3 and PM2.5 exposures with the increased risk of T1DM (3 studies, OR = 1.51, 95% CI: 1.26, 1.80, I 2 = 83.5% for O3 and two studies, OR = 1.03, 95% CI: 1.01, 1.05, I 2 = 76.3% for PM2.5). There was no evidence of association between increased risk of T1DM and exposure to PM10 (OR = 1.02, 95% CI: 0.99-1.06, I 2 = 59.4%), SO4 (OR = 1.16, 95% CI: 0.91-1.49, I 2 = 93.8%), SO2 (OR = 0.94, 95% CI: 0.83-1.06, I 2 = 85.0%), and NO2 (OR = 0.995,95% CI: 1.05-1.04, I 2 = 24.7%). Conclusion Recent publications indicated that exposure to ozone and PM2.5 may be a risk factor for T1DM. However, due to limited available studies, more prospective cohort studies are needed to clarify the role of air pollutants in T1DM occurrence.
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Affiliation(s)
- Nafiseh Mozafarian
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Noncommunicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahin Hashemipour
- Metabolic Liver Disease Research Center, Isfahan University of Medical Sciences, Isfahan, Iran,Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Maryam Yazdi
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Noncommunicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Silva Hovsepian
- Metabolic Liver Disease Research Center, Isfahan University of Medical Sciences, Isfahan, Iran,Imam Hossein Children's Hospital, Isfahan University of Medical Sciences, Isfahan, Iran,Address for correspondence: Dr. Silva Hovsepian, Metabolic Liver Disease Research Center, Imam Hossein Children's Hospital, Isfahan University of Medical Sciences, Isfahan, Iran. E-mail:
| | - Maryam Heidarpour
- Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ensiyeh Taheri
- Environment Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran,Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran,
Dr. Ensiyeh Taheri, Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran. E-mail:
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Cancer status in the Occupied Palestinian Territories: types; incidence; mortality; sex, age, and geography distribution; and possible causes. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04430-2. [PMID: 36350411 PMCID: PMC9645346 DOI: 10.1007/s00432-022-04430-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 10/16/2022] [Indexed: 11/11/2022]
Abstract
Cancer is a disease in which some cells of the body grow uncontrollably and occasionally spread to other parts of the body. With a group of more than 100 different types, cancer can start almost anywhere in the body. Defective cells may form a mass called a tumor which can be cancerous (malignant), which grows and spreads to other parts of the body, or benign that can grow but not spread throughout the body. In 2021, more than 10 million people died of cancer worldwide (1 out of 6 deaths). This paper has thoroughly investigated the cancer status in the Occupied Palestinian Territories (OPT), in terms of its various types; incidence; mortality; sex, age, and geography distribution; and potential causes. In the OPT, with a population of 5.35 million, cancer mortality was 14% in 2016, being the second cause of death after cardiovascular diseases accounting 30.6% of all causes of death. Cancer mortality in the OPT increased by 136% from 2000 to 2016, and by 14% from 2016 to 2020. In addition to other types of cancer in the OPT, its main types are lung (highest in males), breast (highest in females), colorectal (highest in both sexes), and leukemia (highest in children). The high rates of different types of cancer in the OPT can be attributed to various causes, including those related to environmental pollution, nutrition, stress, and lifestyle factors (smoking, lack of activity, increased dependence on technologies, etc.), whereas only 10–30% of cancer cases are attributed to genetics.
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Stapelberg NJC, Branjerdporn G, Adhikary S, Johnson S, Ashton K, Headrick J. Environmental Stressors and the PINE Network: Can Physical Environmental Stressors Drive Long-Term Physical and Mental Health Risks? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13226. [PMID: 36293807 PMCID: PMC9603079 DOI: 10.3390/ijerph192013226] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 10/10/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
Both psychosocial and physical environmental stressors have been linked to chronic mental health and chronic medical conditions. The psycho-immune-neuroendocrine (PINE) network details metabolomic pathways which are responsive to varied stressors and link chronic medical conditions with mental disorders, such as major depressive disorder via a network of pathophysiological pathways. The primary objective of this review is to explore evidence of relationships between airborne particulate matter (PM, as a concrete example of a physical environmental stressor), the PINE network and chronic non-communicable diseases (NCDs), including mental health sequelae, with a view to supporting the assertion that physical environmental stressors (not only psychosocial stressors) disrupt the PINE network, leading to NCDs. Biological links have been established between PM exposure, key sub-networks of the PINE model and mental health sequelae, suggesting that in theory, long-term mental health impacts of PM exposure may exist, driven by the disruption of these biological networks. This disruption could trans-generationally influence health; however, long-term studies and information on chronic outcomes following acute exposure event are still lacking, limiting what is currently known beyond the acute exposure and all-cause mortality. More empirical evidence is needed, especially to link long-term mental health sequelae to PM exposure, arising from PINE pathophysiology. Relationships between physical and psychosocial stressors, and especially the concept of such stressors acting together to impact on PINE network function, leading to linked NCDs, evokes the concept of syndemics, and these are discussed in the context of the PINE network.
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Affiliation(s)
- Nicolas J. C. Stapelberg
- Gold Coast Hospital and Health Service, Gold Coast, QLD 4215, Australia
- Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD 4226, Australia
| | - Grace Branjerdporn
- Gold Coast Hospital and Health Service, Gold Coast, QLD 4215, Australia
- Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD 4226, Australia
| | - Sam Adhikary
- Mater Young Adult Health Centre, Mater Hospital, Brisbane, QID 4101, Australia
| | - Susannah Johnson
- Gold Coast Hospital and Health Service, Gold Coast, QLD 4215, Australia
| | - Kevin Ashton
- Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD 4226, Australia
| | - John Headrick
- School of Medical Science, Griffith University, Gold Coast, QID 4215, Australia
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Liu G, Yang Z, Wang C, Wang D. PM 2.5 exposure and cervical cancer survival in Liaoning Province, northeastern China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:74669-74676. [PMID: 35641744 DOI: 10.1007/s11356-022-20597-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 04/29/2022] [Indexed: 06/15/2023]
Abstract
Particulate matter with a diameter of 2.5 μm or less (PM2.5) has frequently been reported to be associated with an increased incidence of cancer, but few studies have explored the association between PM2.5 exposure and cancer survival. We retrospectively analyzed the association between PM2.5 exposure and the overall survival (OS) of cervical cancer patients residing in 14 urban areas of Liaoning Province, northeastern China, during January 2014-October 2021. Patients from urban areas who completed the recommended treatments with complete follow-up information were included. The PM2.5 monitoring data of each urban area of Liaoning Province were retrieved, and individual exposure to PM2.5 after diagnosis was calculated as the average daily concentration in the city of residence from the date of discharge to the date of death or the last follow-up. Log-rank tests and Cox regression were performed to examine the relationship between PM2.5 exposure and cervical cancer survival. A total of 1753 cervical cancer patients were finally included, among whom 804 (45.9%) were from Shenyang City, the capital of Liaoning Province. The median average daily concentration of PM2.5 to which the patients were exposed was 45.0 (interquartile range 38.2-50.0) μg/m3. Both log-rank tests (grouped by quartiles, p < 0.001) and Cox regression (continuous, HR = 1.06, 95% CI 1.04-1.08) indicated that PM2.5 was significantly associated with shorter OS. Sensitivity analysis also confirmed the robustness of our findings. From the subgroup analysis, only the OS of stage II and stage III patients was associated with PM exposure. Our findings provide the insight that PM2.5 exposure might be associated with shorter OS of cervical cancer patients.
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Affiliation(s)
- Guangcong Liu
- Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute Shenyang, Shenyang, People's Republic of China
| | - Zhuo Yang
- Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute Shenyang, Shenyang, People's Republic of China
| | - Chenyu Wang
- Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute Shenyang, Shenyang, People's Republic of China
| | - Danbo Wang
- Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute Shenyang, Shenyang, People's Republic of China.
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Liu H, Gu J, Huang Z, Han Z, Xin J, Yuan L, Du M, Chu H, Wang M, Zhang Z. Fine particulate matter induces METTL3-mediated m 6A modification of BIRC5 mRNA in bladder cancer. JOURNAL OF HAZARDOUS MATERIALS 2022; 437:129310. [PMID: 35749893 DOI: 10.1016/j.jhazmat.2022.129310] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/17/2022] [Accepted: 06/03/2022] [Indexed: 06/15/2023]
Abstract
Long-term exposure to fine particulate matter (PM2.5) is reportedly related to a variety of cancers including bladder cancer. However, little is known about the biological mechanism underlying this association. In the present study, PM2.5 exposure was significantly associated with increased levels of m6A modification in bladder cancer patients and bladder cells. METTL3 expression was aberrantly upregulated after PM2.5 exposure, and METTL3 was involved in PM2.5-induced m6A methylation. Higher METTL3 expression was observed in bladder cancer tissues and METTL3 knockdown dramatically inhibited bladder cancer cell proliferation, colony formation, migration and invasion, inducing apoptosis and disrupting the cell cycle. Mechanistically, PM2.5 enhanced the expression of METTL3 by inducing the promoter hypomethylation of its promoter and increasing the binding affinity of the transcription factor HIF1A. BIRC5 was identified as the target of METTL3 through m6A sequencing (m6A-Seq) and KEGG analysis. The methylated BIRC5 transcript was subsequently recognized by IGF2BP3, which increased its mRNA stability. In particular, PM2.5 exposure promoted the m6A modification of BIRC5 and its recognition by IGF2BP3. In addition, BIRC5 was involved in bladder cancer proliferation and metastasis, as well as VEGFA-regulated angiogenesis. This comprehensive study revealed that PM2.5 exposure exerts epigenetic regulatory effects on bladder cancer via the HIF1A/METTL3/IGF2BP3/BIRC5/VEGFA network.
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Affiliation(s)
- Hanting Liu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Jingjing Gu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Zhengkai Huang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhichao Han
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Junyi Xin
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Lin Yuan
- Department of Urology, Jiangsu Province Hospital of Traditional Chinese Medicine, Nanjing, China
| | - Mulong Du
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Haiyan Chu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Meilin Wang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
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Huang YJ, Lee PH, Chen LC, Lin BC, Lin C, Chan TC. Relationships among green space, ambient fine particulate matter, and cancer incidence in Taiwan: A 16-year retrospective cohort study. ENVIRONMENTAL RESEARCH 2022; 212:113416. [PMID: 35523280 DOI: 10.1016/j.envres.2022.113416] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 04/27/2022] [Accepted: 04/30/2022] [Indexed: 05/10/2023]
Abstract
INTRODUCTION Green space and air pollution have been recognized as vital health determinants. There is a paucity of studies examining the interplay between green space, fine particulate matter (PM2.5), and the incidence of specific cancers. OBJECTIVE We aimed to explore the contributions of green space and ambient PM2.5 to the risk of specific cancers in terms of the most common cancers based on incidence or mortality rate in Taiwan and to ascertain the interaction between green space and PM2.5 and their role in cancer risk. MATERIALS AND METHODS This retrospective longitudinal cohort study included 407,415 participants. Data were obtained from the 2000-2015 Mei Jau Health Examination Database linked to the Taiwan Cancer Registry and Causes of Death datasets. All participants were aged ≥20 years and had no history of cancer. The environmental exposure were the normalized difference vegetation index (NDVI) and the 2-year average PM2.5 at baseline. Multivariate adjusted hazard ratios (HRs) were calculated using Cox proportional hazards models. We adjusted for covariates including demographics, anthropometrics, comorbidities, health behaviors, biochemical data, and environmental factors. RESULTS During a median follow-up of 10.37 years, 11,576 cancer cases were reported. PM2.5 exposure increased the risk of all cancers (HR: 1.11, [95% CI: 1.06-1.15]), stomach cancer (HR: 1.27, [1.02-1.58]), endocrine gland cancer (HR: 2.13, [1.39-3.26]), breast cancer (HR: 1.12, [1.03-1.22]), and lung cancer (HR: 1.12, [1.01-1.24]). An increase in NDVI reduced the risk of prostate cancer (HR: 0.93, [0.88-0.99]) and lung cancer (HR: 0.95, [0.91-0.99]). NDVI influenced the incidence of prostate and all cancers by reducing PM2.5 concentrations. CONCLUSION Long-term PM2.5 exposure is associated with an increased risk of some types of cancers. In contrast, an increase in environmental green space exposure is associated with lowering of the risk of prostate and lung cancer.
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Affiliation(s)
- Ying-Jhen Huang
- Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan
| | - Ping-Hsien Lee
- Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan
| | - Li-Chi Chen
- Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan
| | - Bo-Cheng Lin
- Department of Real Estate and Built Environment, National Taipei University, New Taipei City, Taiwan
| | - Changqing Lin
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Ta-Chien Chan
- Research Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan; Institute of Public Health, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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Shi X, Wang X, Huang R, Tang C, Hu C, Ning P, Wang F. Cytotoxicity and Genotoxicity of Polystyrene Micro- and Nanoplastics with Different Size and Surface Modification in A549 Cells. Int J Nanomedicine 2022; 17:4509-4523. [PMID: 36186531 PMCID: PMC9519127 DOI: 10.2147/ijn.s381776] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 09/16/2022] [Indexed: 12/05/2022] Open
Abstract
Background Micro- and nano-sized plastics (MPs and NPs) have become an environmental issue of global concern due to their small size, strong bio-permeability and high specific surface area. However, few studies have assessed the effect of polystyrene MPs and NPs on human lung cells. In this research, we evaluated the cytotoxicity and genotoxicity of polystyrene (PS) MPs and NPs with different sizes (2 μm and 80 nm) and surface modification (carboxy and amino functionalized polystyrene, pristine polystyrene) in A549 cells. Methods The zeta potential and hydrodynamic particle size of five types of PS plastic solutions were measured by dynamic light scattering, and their morphology and degree of aggregation were observed by scanning electron microscopy. After incubation of the PS plastics with A549 cells, the uptake and toxicity of the cells were assessed by fluorescence microscopy, laser scanning confocal microscopy, flow cytometry, MTT, micronucleus formation assay, and reactive oxygen species. Results The cytotoxicity and genotoxicity of A549 cells caused by nano-level PS is more serious than that of micro-level. Compared with unmodified PS-NPs, more surface-functionalized PS-NPs were found inside the cells, especially the accumulation of PS-NH2. Cell viability and the induction of micronuclei (MN) are appreciably impacted in a dose-dependent way. Compared with pristine PS-NPs, functionalized PS-NPs showed stronger cell viability inhibitory ability, and induced more MN scores. Conclusion This study shows that the intrinsic size properties and surface modification of PS plastics, the interaction between PS plastics and the receiving medium, intracellular accumulation are critical factors for evaluating the toxicological influences of PS plastics on humans.
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Affiliation(s)
- Xiaorui Shi
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, 710071, People’s Republic of China
| | - Xinan Wang
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, 710071, People’s Republic of China
| | - Rong Huang
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, 710071, People’s Republic of China
| | - Chu Tang
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, 710071, People’s Republic of China
| | - Chong Hu
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, 710071, People’s Republic of China
| | - Pengbo Ning
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, 710071, People’s Republic of China
| | - Fu Wang
- Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, 710071, People’s Republic of China
- Xianyang Key Laboratory of Molecular Imaging and Drug Synthesis, School of Pharmacy, Shaanxi Institute of International Trade & Commerce, Xianyang, Shaanxi, 712046, People’s Republic of China
- School of Basic Medical Sciences, Xi’an Jiaotong University, Xi’an, 710061, People’s Republic of China
- Correspondence: Fu Wang; Pengbo Ning, Email ;
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