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Kilbo Edlund K, Andersson EM, Andersson M, Barregard L, Christensson A, Johannesson S, Harari F, Murgia N, Torén K, Stockfelt L. Occupational particle exposure and chronic kidney disease: a cohort study in Swedish construction workers. Occup Environ Med 2024:oemed-2023-109371. [PMID: 38811167 DOI: 10.1136/oemed-2023-109371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 05/19/2024] [Indexed: 05/31/2024]
Abstract
OBJECTIVES Increasing epidemiological and experimental evidence suggests that particle exposure is an environmental risk factor for chronic kidney disease (CKD). However, only a few case-control studies have investigated this association in an occupational setting. Hence, our objective was to investigate associations between particle exposure and CKD in a large cohort of Swedish construction workers. METHODS We performed a retrospective cohort study in the Swedish Construction Workers' Cohort, recruited 1971-1993 (n=286 089). A job-exposure matrix was used to identify workers exposed to nine different particulate exposures, which were combined into three main categories (inorganic dust and fumes, wood dust and fibres). Incident CKD and start of renal replacement therapy (RRT) were obtained from validated national registries until 2021 and analysed using adjusted Cox proportional hazards models. RESULTS Exposure to inorganic dust and fumes was associated with an increased risk of CKD and RRT during working age (adjusted HR for CKD at age <65 years 1.15, 95% CI 1.05 to 1.26). The elevated risk did not persist after retirement age. Exposure to cement dust, concrete dust and diesel exhaust was associated with CKD. Elevated HRs were also found for quartz dust and welding fumes. CONCLUSIONS Workers exposed to inorganic particles seem to be at elevated risk of CKD and RRT. Our results are in line with previous evidence of renal effects of ambient air pollution and warrant further efforts to reduce occupational and ambient particle exposure.
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Affiliation(s)
- Karl Kilbo Edlund
- School of Public Health and Community Medicine, University of Gothenburg, Goteborg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Goteborg, Sweden
| | - Eva M Andersson
- School of Public Health and Community Medicine, University of Gothenburg, Goteborg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Goteborg, Sweden
| | - Martin Andersson
- Department of Public Health and Clinical Medicine, Umeå University, Umea, Sweden
| | - Lars Barregard
- School of Public Health and Community Medicine, University of Gothenburg, Goteborg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Goteborg, Sweden
| | - Anders Christensson
- Department of Nephrology, Lund University, Lund, Sweden
- Department of Nephrology, Skåne University Hospital Nephrology, Malmö, Sweden
| | - Sandra Johannesson
- School of Public Health and Community Medicine, University of Gothenburg, Goteborg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Goteborg, Sweden
| | - Florencia Harari
- School of Public Health and Community Medicine, University of Gothenburg, Goteborg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Goteborg, Sweden
| | - Nicola Murgia
- Department of Environmental and Prevention Sciences, University of Ferrara, Ferrara, Italy
| | - Kjell Torén
- School of Public Health and Community Medicine, University of Gothenburg, Goteborg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Goteborg, Sweden
| | - Leo Stockfelt
- School of Public Health and Community Medicine, University of Gothenburg, Goteborg, Sweden
- Department of Occupational and Environmental Medicine, Sahlgrenska University Hospital, Goteborg, Sweden
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Lao XQ, Bo Y, Chen D, Zhang K, Szeto CC. Environmental pollution to kidney disease: an updated review of current knowledge and future directions. Kidney Int 2024:S0085-2538(24)00344-2. [PMID: 38797324 DOI: 10.1016/j.kint.2024.04.021] [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: 06/16/2023] [Revised: 04/09/2024] [Accepted: 04/22/2024] [Indexed: 05/29/2024]
Abstract
Environmental pollution significantly impacts global disease burden. However, the contribution of environmental pollution to kidney disease is often overlooked in nephrology. This review examines the growing body of research demonstrating the significant impacts of environmental pollutants, with a focus on air pollution as a primary factor, and acknowledges the roles of other pollutants, such as heavy metals, in the development and progression of kidney diseases. Short-term exposure to air pollution is linked with an increased risk of kidney disease-related events, including hospital admissions, and death, predominantly occurring in vulnerable populations. In contrast, long-term exposure, even at low to moderate levels, may lead to progressive pathophysiological changes, such as chronic systemic inflammation and oxidative stress, that contribute to the development of kidney disease. Additionally, air pollution may exacerbate traditional kidney disease risk factors such as hypertension and diabetes, thereby accelerating disease progression. The review also explores how climate change may interact with various pollutants, including air pollution, influencing kidney disease indirectly. The examined evidence underscores the urgent need for an interdisciplinary approach to research further into environmental kidney disease. Environmental health policies could play a crucial role in prevention, intervention, and the improvement of kidney health worldwide.
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Affiliation(s)
- Xiang Qian Lao
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, China; School of Public Health, Zhengzhou University, Zhengzhou, China.
| | - Yacong Bo
- School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Dezhong Chen
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, NY USA 12144
| | - Cheuk-Chun Szeto
- Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
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Dillon D, Ward-Caviness C, Kshirsagar AV, Moyer J, Schwartz J, Di Q, Weaver A. Associations between long-term exposure to air pollution and kidney function utilizing electronic healthcare records: a cross-sectional study. Environ Health 2024; 23:43. [PMID: 38654228 PMCID: PMC11036746 DOI: 10.1186/s12940-024-01080-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 04/05/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Chronic kidney disease (CKD) affects more than 38 million people in the United States, predominantly those over 65 years of age. While CKD etiology is complex, recent research suggests associations with environmental exposures. METHODS Our primary objective is to examine creatinine-based estimated glomerular filtration rate (eGFRcr) and diagnosis of CKD and potential associations with fine particulate matter (PM2.5), ozone (O3), and nitrogen dioxide (NO2) using a random sample of North Carolina electronic healthcare records (EHRs) from 2004 to 2016. We estimated eGFRcr using the serum creatinine-based 2021 CKD-EPI equation. PM2.5 and NO2 data come from a hybrid model using 1 km2 grids and O3 data from 12 km2 CMAQ grids. Exposure concentrations were 1-year averages. We used linear mixed models to estimate eGFRcr per IQR increase of pollutants. We used multiple logistic regression to estimate associations between pollutants and first appearance of CKD. We adjusted for patient sex, race, age, comorbidities, temporality, and 2010 census block group variables. RESULTS We found 44,872 serum creatinine measurements among 7,722 patients. An IQR increase in PM2.5 was associated with a 1.63 mL/min/1.73m2 (95% CI: -1.96, -1.31) reduction in eGFRcr, with O3 and NO2 showing positive associations. There were 1,015 patients identified with CKD through e-phenotyping and ICD codes. None of the environmental exposures were positively associated with a first-time measure of eGFRcr < 60 mL/min/1.73m2. NO2 was inversely associated with a first-time diagnosis of CKD with aOR of 0.77 (95% CI: 0.66, 0.90). CONCLUSIONS One-year average PM2.5 was associated with reduced eGFRcr, while O3 and NO2 were inversely associated. Neither PM2.5 or O3 were associated with a first-time identification of CKD, NO2 was inversely associated. We recommend future research examining the relationship between air pollution and impaired renal function.
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Affiliation(s)
- David Dillon
- Center for Public Health and Environmental Assessment, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Cavin Ward-Caviness
- Center for Public Health and Environmental Assessment, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Abhijit V Kshirsagar
- Division of Nephrology and Hypertension, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Joshua Moyer
- Center for Public Health and Environmental Assessment, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Joel Schwartz
- T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Qian Di
- Research Center for Public Health, School of Medicine, Tsinghua University, Beijing, China
| | - Anne Weaver
- Center for Public Health and Environmental Assessment, United States Environmental Protection Agency, Research Triangle Park, NC, USA.
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4
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Kadelbach P, Weinmayr G, Chen J, Jaensch A, Rodopoulou S, Strak M, de Hoogh K, Andersen ZJ, Bellander T, Brandt J, Cesaroni G, Fecht D, Forastiere F, Gulliver J, Hertel O, Hoffmann B, Hvidtfeldt UA, Katsouyanni K, Ketzel M, Leander K, Ljungman P, Magnusson PKE, Pershagen G, Rizzuto D, Samoli E, Severi G, Stafoggia M, Tjønneland A, Vermeulen R, Peters A, Wolf K, Raaschou-Nielsen O, Brunekreef B, Hoek G, Zitt E, Nagel G. Long-term exposure to air pollution and chronic kidney disease-associated mortality-Results from the pooled cohort of the European multicentre ELAPSE-study. ENVIRONMENTAL RESEARCH 2024; 252:118942. [PMID: 38649012 DOI: 10.1016/j.envres.2024.118942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 04/12/2024] [Accepted: 04/13/2024] [Indexed: 04/25/2024]
Abstract
Despite the known link between air pollution and cause-specific mortality, its relation to chronic kidney disease (CKD)-associated mortality is understudied. Therefore, we investigated the association between long-term exposure to air pollution and CKD-related mortality in a large multicentre population-based European cohort. Cohort data were linked to local mortality registry data. CKD-death was defined as ICD10 codes N18-N19 or corresponding ICD9 codes. Mean annual exposure at participant's home address was determined with fine spatial resolution exposure models for nitrogen dioxide (NO2), black carbon (BC), ozone (O3), particulate matter ≤2.5 μm (PM2.5) and several elemental constituents of PM2.5. Cox regression models were adjusted for age, sex, cohort, calendar year of recruitment, smoking status, marital status, employment status and neighbourhood mean income. Over a mean follow-up time of 20.4 years, 313 of 289,564 persons died from CKD. Associations were positive for PM2.5 (hazard ratio (HR) with 95% confidence interval (CI) of 1.31 (1.03-1.66) per 5 μg/m3, BC (1.26 (1.03-1.53) per 0.5 × 10- 5/m), NO2 (1.13 (0.93-1.38) per 10 μg/m3) and inverse for O3 (0.71 (0.54-0.93) per 10 μg/m3). Results were robust to further covariate adjustment. Exclusion of the largest sub-cohort contributing 226 cases, led to null associations. Among the elemental constituents, Cu, Fe, K, Ni, S and Zn, representing different sources including traffic, biomass and oil burning and secondary pollutants, were associated with CKD-related mortality. In conclusion, our results suggest an association between air pollution from different sources and CKD-related mortality.
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Affiliation(s)
- Pauline Kadelbach
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
| | - Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Andrea Jaensch
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - 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
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, SE-171 77, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; iClimate-interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | - 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
- Faculty of Technical Sciences, 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, United Kingdom
| | - 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, SE-171 77, Sweden
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, SE-171 77, Sweden; Department of Cardiology, Danderyd University Hospital, 182 88, Stockholm, Sweden
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, SE-171 77, 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
| | - Gianluca Severi
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805, Villejuif, France
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, SE-171 77, Sweden; Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | - Anne Tjønneland
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark; The Danish Cancer Institute, Copenhagen, Denmark
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Ole Raaschou-Nielsen
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; The Danish Cancer Institute, Copenhagen, Denmark
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria; Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria; Vorarlberg Institute for Vascular Investigation and Treatment (VIVIT), Feldkirch, Austria
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany; Agency for Preventive and Social Medicine (aks), Bregenz, Austria
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Chen R, Yang C, Guo Y, Chen G, Li S, Li P, Wang J, Meng R, Wang HY, Peng S, Sun X, Wang F, Kong G, Zhang L. Association between ambient PM 1 and the prevalence of chronic kidney disease in China: A nationwide study. JOURNAL OF HAZARDOUS MATERIALS 2024; 468:133827. [PMID: 38377899 DOI: 10.1016/j.jhazmat.2024.133827] [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: 09/10/2023] [Revised: 02/08/2024] [Accepted: 02/16/2024] [Indexed: 02/22/2024]
Abstract
Particulate of diameter ≤ 1 µm (PM1) presents a novel risk factor of adverse health effects. Nevertheless, the association of PM1 with the risk of chronic kidney disease (CKD) in the general population is not well understood, particularly in regions with high PM1 levels like China. Based on a nationwide representative survey involving 47,204 adults and multi-source ambient air pollution inversion data, the present study evaluated the association of PM1 with CKD prevalence in China. The two-year average PM1, particulate of diameter ≤ 2.5 µm (PM2.5), and PM1-2.5 values were accessed using a satellite-based random forest approach. CKD was defined as estimated glomerular filtration rate < 60 ml/min/1.73 m2 or albuminuria. The results suggested that a 10 μg/m3 rise in PM1 was related to a higher CKD risk (odds ratio [OR], 1.13; 95% confidence interval [CI] 1.08-1.18) and albuminuria (OR, 1.11; 95% CI, 1.05-1.17). The association between PM1 and CKD was more evident among urban populations, older adults, and those without comorbidities such as diabetes or hypertension. Every 1% increase in the PM1/PM2.5 ratio was related to the prevalence of CKD (OR, 1.03; 95% CI, 1.03-1.04), but no significant relationship was found for PM1-2.5. In conclusion, the present study demonstrated long-term exposure to PM1 was associated with an increased risk of CKD in the general population and PM1 might play a leading role in the observed relationship of PM2.5 with the risk of CKD. These findings provide crucial evidence for developing air pollution control strategies to reduce the burden of CKD.
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Affiliation(s)
- Rui Chen
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, China
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Pengfei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou, China
| | - Jinwei Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China
| | - Ruogu Meng
- National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - Huai-Yu Wang
- National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - Suyuan Peng
- National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - Xiaoyu Sun
- Advanced Institute of Information Technology, Peking University, Hangzhou, China; National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - Fulin Wang
- National Institute of Health Data Science at Peking University, Beijing 100191, China; Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
| | - Guilan Kong
- Advanced Institute of Information Technology, Peking University, Hangzhou, China; National Institute of Health Data Science at Peking University, Beijing 100191, China
| | - Luxia Zhang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China; Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, China; Advanced Institute of Information Technology, Peking University, Hangzhou, China; National Institute of Health Data Science at Peking University, Beijing 100191, China.
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6
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Spencer A, Lavenburg LM, Sanders AP, Shah AD. Clearing the air: a review of the effects of air pollution on dialysis outcomes. Curr Opin Nephrol Hypertens 2024; 33:192-202. [PMID: 38205827 PMCID: PMC10805370 DOI: 10.1097/mnh.0000000000000968] [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] [Indexed: 01/12/2024]
Abstract
PURPOSE OF REVIEW An evolving body of literature indicates exposure to air pollutants is associated with adverse health outcomes in dialysis patients. As the prevalence of kidney disease increases, understanding the role of environmental agents on the health of dialysis patients is critical to reducing global morbidity and mortality. RECENT FINDINGS We identified 16 publications that investigated associations between pollutants including particulate matter (PM 2.5 and PM 10 ), carbon monoxide (CO), nitrogen dioxide (NO 2 ), sulfur dioxide (SO 2 ), and ozone (O 3 ) and health outcomes among dialysis patients. Eight studies examined the effects of particulate matter (PM) and four studies examined the effects CO exposure on dialysis patients. Exposure to PM was consistently associated with outcomes including all-cause mortality and a smaller body of literature suggested relationships with subclinical outcomes. Exposure to CO was associated with all-cause mortality, generalized inflammation, and uremic pruritus. An additional four studies examined multiple pollutant exposures including NO 2 , SO 2 , and O 3 and reported associations with all-cause mortality in dialysis patients. SUMMARY This review emphasized the nascent literature that demonstrates consistent relationships between air pollutant exposure and adverse outcomes among dialysis patients. Further research is needed to assess the impact of air pollutants, including how co-exposures will impact dialysis patient health.
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Affiliation(s)
- Annika Spencer
- Department of Environmental and Occupational Health, School of Public Health
| | - Linda-Marie Lavenburg
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Alison P Sanders
- Department of Environmental and Occupational Health, School of Public Health
| | - Ankur D Shah
- Division of Kidney Disease and Hypertension, Warren Alpert Medical School of Brown University Providence, Rhode Island, USA
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7
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Yang C, Wang W, Wang F, Wang Y, Zhang F, Liang Z, Liang C, Wang J, Ma L, Li P, Li S, Zhang L. Ambient PM 2.5 components and prevalence of chronic kidney disease: a nationwide cross-sectional survey in China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2024; 46:70. [PMID: 38353840 DOI: 10.1007/s10653-024-01867-x] [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: 08/25/2023] [Accepted: 01/10/2024] [Indexed: 02/16/2024]
Abstract
OBJECTIVES Chronic kidney disease (CKD) is a global public health concern, and accumulating evidence has indicated that air pollution increases the odds of CKD. However, a limited number of studies have examined the long-term effects of ambient fine particulate matter (PM2.5) components on the risk of CKD among general population; thus, major knowledge gaps remain. METHODS Using data from a nationwide representative cross-sectional survey in China and a validated PM2.5 composition dataset, we established generalized linear models to quantify the association between five major components of PM2.5 and CKD prevalence. RESULTS There were significant associations between long-term exposure to three PM2.5 components [including black carbon (BC), sulfate (SO42-), organic matter (OM)] and increased odds of CKD prevalence. Along with an interquartile range (IQR) increment in BC (3.3 μg/m3), SO42- (9.7 μg/m3), and OM (16.2 μg/m3) at a 4-year moving average, the odds ratios (ORs) for CKD prevalence were 1.28 (95% CI 1.07, 1.54), 1.23 (95% CI 1.03, 1.45), and 1.23 (95% CI 1.02, 1.47), respectively. We did not detect any significant association of the other two PM2.5 components [nitrate (NO3-) or ammonium (NH4+)] with CKD prevalence. Stratified analyses revealed no differences (P ≥ 0.05) in the effect estimates of subgroups based on administrative region, sex, age, and other demographic characteristics. For instance, along with an IQR increment in BC at a 4-year moving average, the ORs of CKD prevalence among males and females were 1.30 (95% CI 0.98, 1.73) and 1.29 (95% CI 1.01, 1.65), respectively. The odds of CKD were generally higher with increasing PM2.5 composition concentration. CONCLUSIONS Our study demonstrated that long-term exposure to specific PM2.5 components including BC, SO42-, and OM increased CKD risk in the general population. This study could provide new insights into source-directed PM2.5 control and CKD prevention.
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Affiliation(s)
- Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China
| | - Wanzhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
| | - Fulin Wang
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China
| | - Yueyao Wang
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Feifei Zhang
- National Institute of Health Data Science at Peking University, Beijing, 100191, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China
| | - Ze Liang
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Chenyu Liang
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Jinwei Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China
- Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China
| | - Lin Ma
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Pengfei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China
| | - Shuangcheng Li
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Luxia Zhang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China.
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China.
- National Institute of Health Data Science at Peking University, Beijing, 100191, China.
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8
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Peng S, Yin X, Chen G, Sun J, Chen B, Zhou Y, Li Z, Liu F, Xiang H. Long-term exposure to varying-sized particulate matters and kidney disease in middle-aged and elder adults: A 8-year nationwide cohort study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 911:168621. [PMID: 37977376 DOI: 10.1016/j.scitotenv.2023.168621] [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: 09/14/2023] [Revised: 11/07/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023]
Abstract
Evidence for the causal relationship of particulate matters (PMs) exposure with kidney disease, especially PM1, PM1-2.5 and PM2.5-10, remained scarce among developing countries with severe pollution. We conducted a longitudinal cohort study involving 13,041 adults with free kidney disease from 150 Chinese counties. PMs concentrations were generated using a well-established satellite-based spatiotemporal model. And the time-varying Cox regression model along with stratified analyses were performed to determine the association and potential modifiers, respectively. We also calculated the population-attributable fraction to evaluate the burden of kidney disease attributable to PMs pollution. Between Jan 2011 and Dec 2018, 985 kidney disease incidents were identified with an incidence rate of 12.69 per 1000 person-years. Significant dose-response relationships were observed for all 5 kinds PMs. Specifically, an increased risk of kidney disease was associated with per 10 μg/m3 increment of PM1 (HR = 1.187, 95%CI: 1.114 to 1.265), PM1-2.5 (1.326, 1.212 to 1.452), PM2.5 (1.197, 1.139 to 1.258), PM2.5-10 (1.297, 1.240 to 1.357), and PM10 (1.137, 1.108 to 1.166). A mixture analysis method of weighted quantile regression model revealed that PM2.5-10 predominated the PMs mixture index (57.1 %), and followed with PM10 (26.4 %). Stratified analyses indicated the elder, overweight persons, smokers, respiratory patients and urban residents were more vulnerable to PMs pollution than their counterparts. Calculated population attributable fractions of kidney disease attributable to PMs pollution was 16.67-39.47 %. Higher PMs pollution was associated with the increased risk of kidney disease development in China. Acceleration of efforts to reduce PMs pollution was therefore urgently needed to alleviate kidney disease burden.
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Affiliation(s)
- Shouxin Peng
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China; Global Health Institute, Wuhan University, Wuhan, Hubei 430071, China
| | - Xiaoyi Yin
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China
| | - Gongbo Chen
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Jinhui Sun
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China; Global Health Institute, Wuhan University, Wuhan, Hubei 430071, China
| | - Bingbing Chen
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China
| | - Yi Zhou
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China
| | - Zhaoyuan Li
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China; Global Health Institute, Wuhan University, Wuhan, Hubei 430071, China
| | - Feifei Liu
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China; Global Health Institute, Wuhan University, Wuhan, Hubei 430071, China
| | - Hao Xiang
- Global Health Department, School of Public Health, Wuhan University, Wuhan, Hubei 430071, China; Global Health Institute, Wuhan University, Wuhan, Hubei 430071, China.
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Zhang F, Yang C, Wang F, Liu Y, Guo CG, Li P, Zhang L. Air pollution and the risk of incident chronic kidney disease in patients with diabetes: An exposure-response analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 270:115829. [PMID: 38103521 DOI: 10.1016/j.ecoenv.2023.115829] [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: 09/19/2023] [Revised: 12/10/2023] [Accepted: 12/11/2023] [Indexed: 12/19/2023]
Abstract
Impact of air pollution on incident chronic kidney disease (CKD) in diabetic patients is insufficiently studied. We aimed to examine exposure-response associations of PM2.5, PM10, PM2.5-10, NO2, and NOX with incident CKD in diabetic patients in the UK. We also widened exposure level of PM2.5 and examined PM2.5-CKD association in diabetic patients across the entire range of global concentration. Based on data from UK biobank cohort, we applied Cox proportional hazards models and the shape constrained health impact function to investigate the associations between air pollutants and incident CKD in diabetic patients. Global exposure mortality model was applied to combine the PM2.5-CKD association in diabetic patients in the UK with all other published associations. Multiple air pollutants were positively associated with incident CKD in diabetic patients in the UK, with hazard ratios (HRs) of 1.034 (95 %CI: 1.015-1.053) and 1.021 (95 %CI: 1.007-1.036) for every 1 μg/m3 increase in PM2.5 and PM10 concentration, and 1.113 (95 %CI: 1.053-1.177) and 1.058 (95 %CI: 1.027-1.091) for every 10 μg/m3 increase in NO2 and NOX concentration, respectively. For PM2.5-10, associations with CKD in diabetic patients did not reach the statistical significance. Exposure-response associations with CKD in diabetic patients showed a near-linear trend for PM2.5, PM10, NO2, and NOX in the UK, whereas PM2.5-DKD associations in the globe exhibited a non-linear increasing trend. This study supports that air pollution could significantly increase the risk of CKD onset in diabetic patients.
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Affiliation(s)
- Feifei Zhang
- National Institute of Health Data Science at Peking University, Peking University Health Science Center, Beijing 100191, China; Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China; State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China
| | - Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China; Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China
| | - Fulin Wang
- National Institute of Health Data Science at Peking University, Peking University Health Science Center, Beijing 100191, China; Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China; State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China
| | - Yuhao Liu
- Peking University Health Science Center, Beijing 100191, China
| | - Chuan-Guo Guo
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Pengfei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China
| | - Luxia Zhang
- National Institute of Health Data Science at Peking University, Peking University Health Science Center, Beijing 100191, China; Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China; State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China; Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China; Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing 100034, China; Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China.
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10
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Ruan Y, Bao Q, Wang L, Wang Z, Zhu W, Wang J. Cardiovascular diseases burden attributable to ambient PM 2.5 pollution from 1990 to 2019: A systematic analysis for the global burden of disease study 2019. ENVIRONMENTAL RESEARCH 2024; 241:117678. [PMID: 37984788 DOI: 10.1016/j.envres.2023.117678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 11/08/2023] [Accepted: 11/13/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Ambient PM2.5 pollution (APMP2.5) was the leading environmental risk factor for cardiovascular diseases (CVDs) worldwide. An up-to-date comprehensive study is needed to provide global epidemiological patterns. METHODS Detailed data on CVDs burden attributable to APMP2.5 were obtained from the Global Burden of Disease Study (GBD) 2019. We calculated the estimated annual percentage change (EAPC) to assess temporal trends in age-standardized rates of deaths and disability-adjusted life years (DALYs) over 30 years. RESULTS Globally, CVDs attributable to APMP2.5 resulted in 2.48 million deaths and 60.91 million DALYs, with an increase of 122%, respectively from 1990 to 2019. In general, men suffered markedly higher burden than women, but the gap will likely turn narrow. As for age distribution, CVDs deaths and DALYs attributable to APMP2.5 mainly occurred in the elder group (>70 years). Low- and middle-income regions endured the higher CVDs burden due to the higher exposure to APMP2.5, and the gap may potentially expand further compared with high-income regions. For regions, the highest age-standardized rates of APMP2.5-related CVDs deaths and DALYs were observed mainly in Central Asia, while the lowest was observed in Australasia. At the national level, countries with the largest ASDR decline were clustered in western Europe, while Equatorial Guinea, Timor-Leste and Bhutan exhibited relatively rapid increases over this period. CONCLUSIONS The global CVDs burden attributable to APMP2.5 has contributed to the heterogeneity of spatial and temporal distribution. APMP2.5-related CVDs deaths have largely shifted from higher SDI regions to those with a lower SDI. Globally, APMP2.5-attributable CVDs pose a significant threat to public health and diseases burden has increased over time, particularly in male, old-aged populations. The governments and health systems should take measures to reduce air pollution to impede this rising trend.
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Affiliation(s)
- Yixin Ruan
- Department of Cardiology of the Second Affiliated Hospital, School of Medicine, Zhejiang University, China; State Key Laboratory of Transvascular Implantation Devices, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, 310009, China
| | - Qinyi Bao
- Department of Cardiology of the Second Affiliated Hospital, School of Medicine, Zhejiang University, China; State Key Laboratory of Transvascular Implantation Devices, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, 310009, China
| | - Lingjun Wang
- Department of Cardiology of the Second Affiliated Hospital, School of Medicine, Zhejiang University, China; State Key Laboratory of Transvascular Implantation Devices, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, 310009, China
| | - Zhuo Wang
- Department of Cardiology of the Second Affiliated Hospital, School of Medicine, Zhejiang University, China; State Key Laboratory of Transvascular Implantation Devices, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, 310009, China
| | - Wei Zhu
- Department of Cardiology of the Second Affiliated Hospital, School of Medicine, Zhejiang University, China; State Key Laboratory of Transvascular Implantation Devices, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, 310009, China
| | - Jian'an Wang
- Department of Cardiology of the Second Affiliated Hospital, School of Medicine, Zhejiang University, China; State Key Laboratory of Transvascular Implantation Devices, China; Cardiovascular Key Laboratory of Zhejiang Province, Hangzhou, 310009, China.
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Wathanavasin W, Banjongjit A, Phannajit J, Eiam-Ong S, Susantitaphong P. Association of fine particulate matter (PM 2.5) exposure and chronic kidney disease outcomes: a systematic review and meta-analysis. Sci Rep 2024; 14:1048. [PMID: 38200164 PMCID: PMC10781728 DOI: 10.1038/s41598-024-51554-1] [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: 10/03/2023] [Accepted: 01/06/2024] [Indexed: 01/12/2024] Open
Abstract
Several studies have reported an increased risk of chronic kidney disease (CKD) outcomes after long-term exposure (more than 1 year) to particulate matter with an aerodynamic diameter of ≤ 2.5 µm (PM2.5). However, the conclusions remain inconsistent. Therefore, we conducted this meta-analysis to examine the association between long-term PM2.5 exposure and CKD outcomes. A literature search was conducted in PubMed, Scopus, Cochrane Central Register of Controlled trials, and Embase for relevant studies published until August 10, 2023. The main outcomes were incidence and prevalence of CKD as well as incidence of end-stage kidney disease (ESKD). The random-effect model meta-analyses were used to estimate the risk of each outcome among studies. Twenty two studies were identified, including 14 cohort studies, and 8 cross-sectional studies, with a total of 7,967,388 participants. This meta-analysis revealed that each 10 μg/m3 increment in PM2.5 was significantly associated with increased risks of both incidence and prevalence of CKD [adjusted odds ratio (OR) 1.31 (95% confidence interval (CI) 1.24 to 1.40), adjusted OR 1.31 (95% CI 1.03 to 1.67), respectively]. In addition, the relationship with ESKD incidence is suggestive of increased risk but not conclusive (adjusted OR 1.16; 95% CI 1.00 to 1.36). The incidence and prevalence of CKD outcomes had a consistent association across all subgroups and adjustment variables. Our study observed an association between long-term PM2.5 exposure and the risks of CKD. However, more dedicated studies are required to show causation that warrants urgent action on PM2.5 to mitigate the global burden of CKD.
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Affiliation(s)
- Wannasit Wathanavasin
- Nephrology Unit, Department of Medicine, Charoenkrung Pracharak Hospital, Bangkok Metropolitan Administration, Bangkok, Thailand
| | - Athiphat Banjongjit
- Nephrology Unit, Department of Medicine, Vichaiyut Hospital, Bangkok, Thailand
| | - Jeerath Phannajit
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Division of Clinical Epidemiology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
- Center of Excellence for Metabolic Bone Disease in CKD Patients, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Somchai Eiam-Ong
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Paweena Susantitaphong
- Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
- Center of Excellence for Metabolic Bone Disease in CKD Patients, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
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12
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Xu W, Jia L, Lin Y, Zhang C, Sun X, Jiang L, Yao X, Wang N, Deng H, Wang S, Yang G. Association of air pollution and risk of chronic kidney disease: A systematic review and meta-analysis. J Biochem Mol Toxicol 2024; 38:e23610. [PMID: 38091339 DOI: 10.1002/jbt.23610] [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: 08/03/2023] [Accepted: 11/20/2023] [Indexed: 01/18/2024]
Abstract
Although epidemiological studies have evaluated the association between ambient air pollution and chronic kidney disease (CKD), the results remain mixed. To clarify the nature of the association, we conducted a comprehensive systematic review and meta-analysis to assess the global relationship between air pollution and CKD. The Web of Science, PubMed, Embase and Cochrane Library databases systematically were searched for studies published up to July 2023 and included 32 studies that met specific criteria. The random effects model was used to derive overall risk estimates for each pollutant. The meta-analysis estimated odds ratio (ORs) of risk for CKD were 1.42 (95% confidence interval [CI]: 1.31-1.54) for each 10 μg/m3 increase in PM2.5 ; 1.20 (95% CI: 1.14-1.26) for each 10 μg/m3 increase in PM10 ; 1.07 (95% CI: 1.05-1.09) for each 10 μg/m3 increase in NO2 ; 1.03 (95% CI: 1.02-1.03) for each 10 μg/m3 increase in NOX ; 1.07 (95% CI: 1.01-1.12) for each 1 ppb increase in SO2 ; 1.03 (95% CI: 1.00-1.05) for each 0.1 ppm increase in CO. Subgroup analysis showed that this effect varied by gender ratio, age, study design, exposure assessment method, and income level. Furthermore, PM2.5 , PM10 , and NO2 had negative effects on CKD even within the World Health Organization-recommended acceptable concentrations. Our results further confirmed the adverse effect of air pollution on the risk of CKD. These findings can contribute to enhance the awareness of the importance of reducing air pollution among public health officials and policymakers.
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Affiliation(s)
- Wenqi Xu
- Department of Food Nutrition and Safety, Dalian Medical University, Dalian, China
| | - Luzhu Jia
- Department of Epidemiology, Dalian Medical University, Dalian, China
| | - Yuxuan Lin
- Department of Food Nutrition and Safety, Dalian Medical University, Dalian, China
| | - Cong Zhang
- Department of Food Nutrition and Safety, Dalian Medical University, Dalian, China
| | - Xiance Sun
- Department of Occupational & Environmental Health, Dalian Medical University, Dalian, China
| | - Liping Jiang
- Department of Occupational & Environmental Health, Dalian Medical University, Dalian, China
| | - Xiaofeng Yao
- Department of Occupational & Environmental Health, Dalian Medical University, Dalian, China
| | - Ningning Wang
- Department of Food Nutrition and Safety, Dalian Medical University, Dalian, China
| | - Haoyuan Deng
- Department of Food Nutrition and Safety, Dalian Medical University, Dalian, China
| | - Shaopeng Wang
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Guang Yang
- Department of Food Nutrition and Safety, Dalian Medical University, Dalian, China
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13
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Peng S, Chen B, Li Z, Sun J, Liu F, Yin X, Zhou Y, Shen H, Xiang H. Ambient ozone pollution impairs glucose homeostasis and contributes to renal function decline: Population-based evidence. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 269:115803. [PMID: 38091674 PMCID: PMC10790241 DOI: 10.1016/j.ecoenv.2023.115803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 01/12/2024]
Abstract
Particulate matter pollution could increase the risk of kidney disease, while evidence for ozone exposure is less well-established. Here, we aimed to evaluate the effect of ozone pollution on renal function and explore mechanisms. We first conducted a cross-sectional study based on Wuhan Chronic Disease Cohort Study baseline information. We recruited 2699 eligible participants, estimated their residential ozone concentrations, collected fasting peripheral blood samples for biochemical analysis and calculated the estimated glomerular filtration rate (eGFR). The linear regression model was applied to evaluate the long-term association between ozone pollution and eGFR. Then, we recruited another 70 volunteers as a panel with 8 rounds follow-up visits. We calculated the eGFR and measured fasting blood glucose and lipid levels. The linear mixed-effect model along with mediation analysis were performed to confirm the short-term association and explore potential mechanisms, respectively. For the long-term association, a 10.95 μg/m3 increment of 3-year ozone exposure was associated with 2.96 mL/min/1.73 m2 decrease in eGFR (95%CI: -4.85, -1.06). Furthermore, the drinkers exhibited a pronounced declination of eGFR (-7.46 mL/min/1.73 m2, 95%CI: -11.84, -3.08) compared to non-drinkers in relation to ozone exposure. Additionally, a 19.02 μg/m3 increase in 3-day ozone concentrations was related to 2.51 mL/min/1.73 m2 decrease in eGFR (95%CI: -3.78, -1.26). Hyperglycemia and insulin resistance mediated 12.2% and 16.5% of the aforementioned association, respectively. Our findings indicated that higher ozone pollution could affect renal function, and the hyperglycemia and insulin resistance linked to ozone might be the underlying mechanisms.
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Affiliation(s)
- Shouxin Peng
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China; Global Health Institute, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Bingbing Chen
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Zhaoyuan Li
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China; Global Health Institute, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Jinhui Sun
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China; Global Health Institute, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Feifei Liu
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China; Global Health Institute, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Xiaoyi Yin
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Yi Zhou
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China
| | - Huanfeng Shen
- School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, Hubei, PR China.
| | - Hao Xiang
- Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, PR China; Global Health Institute, Wuhan University, Wuhan 430071, Hubei, PR China.
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14
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Li Y, Guo B, Meng Q, Yin L, Chen L, Wang X, Jiang Y, Wei J, Wang J, Xia J, Wang Z, Duoji Z, Li X, Nima Q, Zhao X. Associations of long-term exposure to air pollution and physical activity with the risk of systemic inflammation-induced multimorbidity in Chinese adults: results from the China multi-ethnic cohort study (CMEC). BMC Public Health 2023; 23:2556. [PMID: 38129832 PMCID: PMC10734128 DOI: 10.1186/s12889-023-17518-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 12/18/2023] [Indexed: 12/23/2023] Open
Abstract
OBJECTIVE Previous studies proved the effect of long-term exposure to air pollution or physical activity (PA) on the risk of systemic inflammation-induced multimorbidity (SIIM), while the evidence regarding their joint effects was rare, especially in low- and middle-income countries. Therefore, we aimed to examine the extent of interaction or joint relations of PA and air pollution with SIIM. METHODS This study included 72,172 participants from China Multi-Ethnic Cohort.The average concentrations of ambient particulate matter pollutants (PM1, PM2.5, and PM10) were estimated using satellite-based random forest models. Self-reported information on a range of physical activities related to occupation, housework, commuting, and leisure activities was collected by an interviewer-administered questionnaire. A total of 11 chronic inflammatory systemic diseases were assessed based on self-reported lifetime diagnosis or medical examinations. SIIM was defined as having ≥ 2 chronic diseases related to systemic inflammation. Logistic regression models were used to assess the complex associations of air pollution particulate matter and PA with SIIM. RESULTS We found positive associations between long-term air pollution particulates exposure and SIIM, with odds ratios (95%CI) of 1.07 (1.03 to 1.11), 1.18 (1.13 to 1.24), and 1.08 (1.05 to 1.12) per 10 µg/m3 increase in PM1, PM2.5, and PM10. No significant multiplicative interaction was found between ambient air pollutant exposure and PA on SIIM, whereas negative additive interaction was observed between long-term exposure to PM2.5 and PA on SIIM. The positive associations between low volume PA and SIIM were stronger among those exposed to high-level air pollution particulates. Compared with individuals engaged in high volume PA and exposed to low-level ambient air pollutants, those engaged in low volume PA and exposed to high-level ambient air pollutants had a higher risk of SIIM (OR = 1.49 in PM1 exposure, OR = 1.84 in PM2.5 exposure, OR = 1.19 in PM10 exposure). CONCLUSIONS Long-term (3 years average) exposure to PM1, PM2.5, and PM10 was associated with an increased risk of SIIM. The associations were modified by PA, highlighting PA's importance in reducing SIIM for all people, especially those living in high-level air pollution regions.
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Affiliation(s)
- Yajie Li
- Tibet Center for Disease Control and Prevention, 21 North linkuo Road, Lhasa, Tibet, China
| | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 610041, Chengdu, China
| | - Qiong Meng
- School of Public Health, Kunming Medical University, Kunming, China
| | - Li Yin
- Meteorological Medical Research Center, Panzhihua Central Hospital, 617067, Panzhihua, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Dali University, Dali, China
| | - Lin Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 610041, Chengdu, China
| | - Xing Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 610041, Chengdu, China
| | - Ye Jiang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 610041, Chengdu, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Junhua Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Jinjie Xia
- Chengdu Center for Disease Control and Prevention, Chengdu, China
| | - Zihao Wang
- Chongqing Center for disease Control and prevention, Chongqing, China
| | | | - Xianzhi Li
- Meteorological Medical Research Center, Panzhihua Central Hospital, 617067, Panzhihua, China.
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, China.
- Dali University, Dali, China.
| | - Qucuo Nima
- Tibet Center for Disease Control and Prevention, 21 North linkuo Road, Lhasa, Tibet, China.
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, 610041, Chengdu, China.
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15
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Ranjdoost F, Ghaffari ME, Azimi F, Mohammadi A, Fouladi-Fard R, Fiore M. Association between air pollution and sudden sensorineural hearing loss (SSHL): A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2023; 239:117392. [PMID: 37838197 DOI: 10.1016/j.envres.2023.117392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/23/2023] [Accepted: 10/11/2023] [Indexed: 10/16/2023]
Abstract
Recent studies have indicated that air pollution (AP) has harmful effects on hearing and ear diseases such as Sudden Sensorineural Hearing Loss (SSHL). The purpose of this study was to evaluate the impact of exposure to AP on SSHL incidence. Valid electronic databases were searched to retrieve studies published until December 1, 2022, using appropriate keywords. The result of the search was 1146 studies, and after screening according to the defined criteria, in total 8 studies were obtained. The risk of bias (ROB) in the studies and their quality were assessed. Finally, the meta-analysis with a significance level of 5% was performed. The findings revealed that the mean level of SO2, CO, NO2, and PM10 in the patient group was more than that of the control group, and p-values were 0.879, 0.144, 0.077, and 0.138, respectively. There was an indirect relation between air pollutants and SSHL, and PM2.5 showed a significant effect (p < 0.05). Given the limited research and the use of different statistical methods, more research is suggested to confirm this association and to determine the mechanisms by which AP exposure may cause SSHL.
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Affiliation(s)
- Fatemeh Ranjdoost
- Research Center for Environmental Pollutants, Department of Environmental Health Engineering, Faculty of Health, Qom University of Medical Sciences, Qom, Iran.
| | - Mohammad-Ebrahim Ghaffari
- Department of Epidemiology and Biostatistics, Faculty of Health, Qom University of Medical Sciences, Qom, Iran.
| | - Faramarz Azimi
- Environmental Health Research Center, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran.
| | - Amir Mohammadi
- Social Determinants of Health Research Center, Clinical Research Institute, Urmia University of Medical Sciences, Urmia, Iran; Department of Environmental Health Engineering, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran.
| | - Reza Fouladi-Fard
- Research Center for Environmental Pollutants, Department of Environmental Health Engineering, Faculty of Health, Qom University of Medical Sciences, Qom, Iran; Environmental Health Research Center, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran.
| | - Maria Fiore
- Department of Medical, Surgical and Advanced Technologies "G.F. Ingrassia", University of Catania, 87-95123, Catania, Italy.
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Li ZH, Song WQ, Qiu CS, Li HM, Tang XL, Shen D, Zhang PD, Zhang XR, Ren JJ, Gao J, Zhong WF, Liu D, Chen PL, Huang QM, Wang XM, You FF, Fu Q, Li C, Xiang JX, Chen ZT, Mao C. Long-term air pollution exposure, habitual physical activity, and incident chronic kidney disease. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 265:115492. [PMID: 37742574 DOI: 10.1016/j.ecoenv.2023.115492] [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: 07/19/2023] [Revised: 09/06/2023] [Accepted: 09/16/2023] [Indexed: 09/26/2023]
Abstract
Both air pollution and physical inactivity contribute to the increased risk of incident chronic kidney disease (CKD). However, the detrimental effects of air pollution exposure could be augmented by an elevated intake of air pollutants during exercise. In the present study, we analyzed 367,978 participants who were CKD-free at baseline (2006-2010) based on the UK Biobank. Air pollutants included fine particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), and nitrogen oxides (NOX). Physical activity (PA) was obtained by the self-reported questionnaire. Using Cox proportional hazards models, hazard ratios (HRs) for incident CKD related to air pollution, PA, and incident CKD were evaluated. During a median of 12.4 years of follow-up, 14,191 incident CKD events were documented. High PM2.5, PM10, NO2, and NOX increased CKD risks by 11 %, 15 %, 14 %, and 12 %, respectively, while moderate and high PA reduced CKD risks by 18 % and 22 %, respectively. Participants with high PA and low air pollution exposure had 29 %, 31 %, 30 %, and 30 % risks of incident CKD than those with low PA and high air pollution exposure for the four air pollutants, with multivariable-adjusted HRs of 0.71 (95 % confidence intervals [CI]: 0.65-0.76) for PM2.5, 0.69 (95 % CI: 0.64-0.75) for PM10, 0.70 (95 % CI: 0.64-0.75) for NO2, and 0.70 (95 % CI: 0.64-0.75) for NOX. No clear interactions were observed between each air pollutant exposure and PA (all P for interaction > 0.05). The findings that reducing air pollution exposure and increasing PA were both independently correlated with a diminished risk of incident CKD suggest that PA could be targeted to prevent CKD generally regardless of air pollution levels. Further research is needed in areas polluted moderately and severely to examine our findings.
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Affiliation(s)
- Zhi-Hao Li
- 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
| | - Hong-Min Li
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Xu-Lian Tang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Dong Shen
- 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
| | - Xi-Ru Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Jiao-Jiao Ren
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Jian Gao
- 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
| | - Dan Liu
- 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
| | - Xiao-Meng Wang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Fang-Fei You
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Qi Fu
- 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
| | - Jia-Xuan Xiang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Zi-Ting Chen
- 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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17
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Chen W, Luo Y, Quan J, Zhou J, Yi B, Huang Z. PM 2.5 induces renal tubular injury by activating NLRP3-mediated pyroptosis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 265:115490. [PMID: 37742582 DOI: 10.1016/j.ecoenv.2023.115490] [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: 05/03/2023] [Revised: 09/13/2023] [Accepted: 09/14/2023] [Indexed: 09/26/2023]
Abstract
Fine particulate matter (PM2.5)-related health issues have received increasing attention as a worldwide public health problem, and PM2.5-related chronic kidney disease (CKD) has been emerging over the years. Limited research has focused on the mechanism of PM2.5-induced kidney disease. To investigate the impact of PM2.5 on the kidney and its potential mechanism, we generated a PM2.5-exposed C57BL/6 mouse model by using Shanghai Meteorological and Environment Animal Exposure System (Shanghai-METAS) for 12 weeks, urine, blood and kidney tissues were collected. The pathological changes and the function of the kidney were measured after PM2.5 exposure for 12 weeks. Along with glomerular damage, tubular damage was also severe in PM2.5-induced mice. The results of mRNA-seq indicate that pyroptosis is involved. Pyroptosis is defined as caspase-1-dependent programmed cell death in response to insults. The expression of the nucleotide-binding and oligomerization domain-like receptor family pyrin domain containing 3 (NLRP3), Caspase-1, gasdermin D (GSDMD) and IL-1β was detected. NLRP3 inflammasome activation and subsequent pyroptosis were observed in PM2.5-exposed kidney tissues and PM2.5-exposed Bumpt cells too. At the meantime, the inhibitors of NLRP3 and caspase-1 were applied to the PM2.5 exposed Bumpt cells. It turned out to have a significant rescue effect of the inhibitors. This study revealed new insights into PM2.5-induced kidney injury and specific kidney pathological damage, as well as morphological changes, and defined the important role of pyroptosis in PM2.5-induced kidney dysfunction.
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Affiliation(s)
- Weilin Chen
- Department of Nephrology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha 410013, Hunan, China; The Critical Kidney Disease Research Center of Central South University, 138 Tongzipo Road, Changsha 410013, Hunan, China
| | - Yanfang Luo
- Department of Nephrology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha 410013, Hunan, China; The Critical Kidney Disease Research Center of Central South University, 138 Tongzipo Road, Changsha 410013, Hunan, China
| | - Jingjing Quan
- Department of Nephrology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha 410013, Hunan, China; The Critical Kidney Disease Research Center of Central South University, 138 Tongzipo Road, Changsha 410013, Hunan, China
| | - Ji Zhou
- Typhoon Institute/CMA, Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China
| | - Bin Yi
- Department of Nephrology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha 410013, Hunan, China; The Critical Kidney Disease Research Center of Central South University, 138 Tongzipo Road, Changsha 410013, Hunan, China; Furong Laboratory, Changsha 410013, Hunan, China.
| | - Zhijun Huang
- Department of Nephrology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha 410013, Hunan, China; Furong Laboratory, Changsha 410013, Hunan, China; Center for Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha 410013, Hunan, China.
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18
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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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19
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Li J, Dai L, Deng X, Zhang J, Song C, Xu J, Wang A, Xiong Z, Shan Y, Huang X. Association between long-term exposure to low level air pollutants and incident end-stage kidney disease in the UK Biobank: A prospective cohort. CHEMOSPHERE 2023; 338:139470. [PMID: 37437622 DOI: 10.1016/j.chemosphere.2023.139470] [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] [Received: 03/22/2023] [Revised: 05/22/2023] [Accepted: 07/09/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND Previous studies suggest that air pollution can increase the risk of incident chronic kidney disease (CKD). However, the association between end-stage kidney disease (ESKD) and co-exposure to relatively low-level air pollutants remains unclear. METHODS A prospective cohort was designed based on UK Biobank. From 1 January 2010 to 12 November 2021, 453,347 participants were followed up over a median of 11.87 years. Principal component analysis was used to identify major patterns of five air pollutants, including PM2.5, PM2.5-10, PM10, NO2, and NOx. Sub-distribution hazards models were used to estimate the associations between air pollution, individually or jointly, and incident ESKD, CKD, and all-cause death, respectively. RESULTS Principal component analysis identified two principal components, namely RC1 (PM2.5, NO2, and NOx) and RC2 (PM2.5-10 and PM10). An elevated risk of incident ESKD was associated with an interquartile range (IQR) increase in PM2.5 (hazard ratio: 1.11, 95% confidence interval: 1.02-1.22), NO2 (1.16, 1.04-1.30), NOx (1.08, 1.00-1.17), and RC1 (1.12, 1.02-1.23). An elevated risk of incident CKD was associated with an IQR increase in PM2.5 (1.05, 1.03-1.07), NO2 (1.04, 1.02-1.06), NOx (1.03, 1.02-1.05), and RC1 (1.04, 1.02-1.06). An increased risk of all-cause mortality was associated with an IQR increase in PM2.5 (1.02, 1.00-1.04). Restricted cubic spline analyses indicated a monotonic elevating association of PM2.5, NO2, NOx, and RC1 with ESKD incidence. CONCLUSIONS Long-term exposure to PM2.5, NO2, NOx, and their complex was associated with elevated ESKD incidence, even at relatively lower levels of air pollution.
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Affiliation(s)
- Jing Li
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China; Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Liang Dai
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China
| | - Xiaowei Deng
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
| | - Jingwen Zhang
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China
| | - Congying Song
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China
| | - Junjie Xu
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zuying Xiong
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China
| | - Ying Shan
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.
| | - Xiaoyan Huang
- Renal Division, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China; Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.
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20
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Xu J, Lan Z, Xu P, Zhang Z. The association between short-term exposure to nitrogen dioxide and hospital admission for schizophrenia: A systematic review and meta-analysis. Medicine (Baltimore) 2023; 102:e35024. [PMID: 37773873 PMCID: PMC10545286 DOI: 10.1097/md.0000000000035024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 08/09/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND Ambient air pollution has been identified as a primary risk factor for mental disorders. In recent years, the relationship between exposure to ambient nitrogen dioxide (NO2) and the risk of hospital admissions (HAs) for schizophrenia has garnered increasing scientific interest, but evidence from epidemiological studies has been inconsistent. Therefore, a systematic review and meta-analysis were conducted to comprehensively identify potential correlations. METHODS A literature search in 3 international databases was conducted before December 31, 2022. Relative risk (RR) and corresponding 95% confidence intervals (CI) were calculated to evaluate the strength of the associations. Summary effect sizes were calculated using a random-effects model due to the expected heterogeneity (I2 over 50%). RESULTS A total of ten eligible studies were included in the meta-analysis, including 1,412,860 participants. The pooled analysis found that an increased risk of HAs for schizophrenia was associated with exposure to each increase of 10 μg/m3 in NO2 (RR = 1.029, 95% CI = 1.016-1.041, P < .001). However, the heterogeneity was high for the summary estimates, reducing the credibility of the evidence. In 2-pollutant models, results for NO2 increased by 0.3%, 0.2% and 2.3%, respectively, after adjusting for PM2.5, PM10 and SO2. CONCLUSIONS This study provides evidence that NO2 exposure significantly increases the risk of hospital admission for schizophrenia. Future studies are required to clarify the potential biological mechanism between schizophrenia and NO2 exposure to provide a more definitive result.
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Affiliation(s)
- Jiating Xu
- Department of General Psychiatry II, The Third Hospital of Quzhou, Quzhou City, China
| | - Zhiyong Lan
- Department of General Psychiatry II, The Third Hospital of Quzhou, Quzhou City, China
| | - Penghao Xu
- Department of Geriatric Psychiatry II, The Third Hospital of Quzhou, Quzhou City, China
| | - Zhihua Zhang
- Department of Geriatric Psychiatry II, The Third Hospital of Quzhou, Quzhou City, China
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21
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Li Y, Wang Y, Fan M, Li W, Meng X, Zhou H, Zhang S, Dou Q. Association of short-term nitrogen dioxide exposure with hospitalization for urolithiasis in Xinxiang, China: a time series study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:93697-93707. [PMID: 37515621 PMCID: PMC10468926 DOI: 10.1007/s11356-023-28539-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 06/28/2023] [Indexed: 07/31/2023]
Abstract
Urolithiasis accounts for the highest incidence of all urologic-associated hospitalizations. However, few studies have explored the effect of nitrogen dioxide (NO2) on hospitalizations for urolithiasis. We included 5956 patients with urolithiasis, collected daily meteorological and air pollution data between 2016 and 2021, and analyzed the associations between air pollutants and hospitalization, length of the hospital stay, and hospitalization costs attributable to urolithiasis. NO2 exposure was associated with an increased risk of hospitalization for urinary tract stones. For each 10-μg/m3 increase and 1-day lag of NO2, the maximum daily effect on the risk of hospitalization for urolithiasis was 1.020 (95% confidence interval [CI]: 1.001-1.039), and the cumulative effect peaked on lag day 4 (relative risk [RR]: 1.061; 95% CI: 1.003-1.122). Attribution scores and quantitative analysis revealed that the mean number of hospital days and mean hospital costs were 16 days and 21,164.39 RMB, respectively. Up to 5.75% of all urolithiasis hospitalizations were estimated to be attributable to NO2, and the cost of NO2-related urolithiasis hospitalizations reached approximately 3,430,000 RMB. Stratified analysis showed that NO2 had a more sensitive impact on urolithiasis hospitalizations in women and in those aged ≥65 years. Notably, men and those younger than 65 years of age (exclude people aged 65) incurred more costs for urolithiasis hospitalizations. In the population level, the association between NO2 and risk of urolithiasis hospitalization was more pronounced during the warm season. NO2 can increase hospitalizations for urolithiasis for Xinxiang City residents, and there is a cumulative lag effect. Focusing on air pollution may have practical significance in terms of the prevention and control of urolithiasis.
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Affiliation(s)
- Yangdong Li
- The First Affiliated Hospital of Xinxiang Medical University, No. 88, Jiankang Road, Weihui, Xinxiang, Henan Province, 453100, People's Republic of China
| | - Yongbin Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, People's Republic of China
| | - Maochuan Fan
- The First Affiliated Hospital of Xinxiang Medical University, No. 88, Jiankang Road, Weihui, Xinxiang, Henan Province, 453100, People's Republic of China
| | - Weisheng Li
- The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan Province, 450003, People's Republic of China
| | - Xiangzhen Meng
- The First Affiliated Hospital of Xinxiang Medical University, No. 88, Jiankang Road, Weihui, Xinxiang, Henan Province, 453100, People's Republic of China
| | - Hao Zhou
- The First Affiliated Hospital of Xinxiang Medical University, No. 88, Jiankang Road, Weihui, Xinxiang, Henan Province, 453100, People's Republic of China
| | - Shaohua Zhang
- The First Affiliated Hospital of Xinxiang Medical University, No. 88, Jiankang Road, Weihui, Xinxiang, Henan Province, 453100, People's Republic of China
| | - Qifeng Dou
- The First Affiliated Hospital of Xinxiang Medical University, No. 88, Jiankang Road, Weihui, Xinxiang, Henan Province, 453100, People's Republic of China.
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22
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Chu L, Chen K, Di Q, Crowley S, Dubrow R. Associations between short-term exposure to PM 2.5, NO 2 and O 3 pollution and kidney-related conditions and the role of temperature-adjustment specification: A case-crossover study in New York state. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 328:121629. [PMID: 37054868 DOI: 10.1016/j.envpol.2023.121629] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/24/2023] [Accepted: 04/11/2023] [Indexed: 05/09/2023]
Abstract
Epidemiologic evidence on the relationship between air pollution and kidney disease remains inconclusive. We evaluated associations between short-term exposure to PM2.5, NO2 and O3 and unplanned hospital visits for seven kidney-related conditions (acute kidney failure [AKF], urolithiasis, glomerular diseases [GD], renal tubulo-interstitial diseases, chronic kidney disease, dysnatremia, and volume depletion; n = 1,209,934) in New York State (2007-2016). We applied a case-crossover design with conditional logistic regression, controlling for temperature, dew point temperature, wind speed, and solar radiation. We used a three-pollutant model at lag 0-5 days of exposure as our main model. We also assessed the influence of model adjustment using different specifications of temperature by comparing seven temperature metrics (e.g., dry-bulb temperature, heat index) and five intraday temperature measures (e.g., daily mean, daily minimum, nighttime mean), according to model performance and association magnitudes between air pollutants and kidney-related conditions. In our main models, we adjusted for daytime mean outdoor wet-bulb globe temperature, which showed good model performance across all kidney-related conditions. We observed the odds ratios (ORs) for 5 μg/m3 increase in daily mean PM2.5 to be 1.013 (95% confidence interval [CI]: 1.001, 1.025) for AKF, 1.107 (95% CI: 1.018, 1.203) for GD, and 1.027 (95% CI: 1.015, 1.038) for volume depletion; and the OR for 5 ppb increase in daily 1-hour maximum NO2 to be 1.014 (95% CI; 1.008, 1.021) for AKF. We observed no associations with daily 8-hour maximum O3 exposure. Association estimates varied by adjustment for different intraday temperature measures: estimates adjusted for measures with poorer model performance resulted in the greatest deviation from estimates adjusted for daytime mean, especially for AKF and volume depletion. Our findings indicate that short-term exposure to PM2.5 and NO2 is a risk factor for specific kidney-related conditions and underscore the need for careful adjustment of temperature in air pollution epidemiologic studies.
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Affiliation(s)
- Lingzhi Chu
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven, CT, 06520-8034, USA; Yale Center on Climate Change and Health, Yale School of Public Health, 60 College Street, New Haven, CT, 06520-8034, USA.
| | - Kai Chen
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven, CT, 06520-8034, USA; Yale Center on Climate Change and Health, Yale School of Public Health, 60 College Street, New Haven, CT, 06520-8034, USA
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, 100084, China
| | - Susan Crowley
- Department of Medicine (Nephrology), Yale University School of Medicine, New Haven, CT, 06520, USA; Veterans Administration Health Care System of Connecticut, West Haven, CT, 06516, USA
| | - Robert Dubrow
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven, CT, 06520-8034, USA; Yale Center on Climate Change and Health, Yale School of Public Health, 60 College Street, New Haven, CT, 06520-8034, USA
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23
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Chung CY, Wu SY, Chiu HH, Wu TN, Wang YT, Lin MY. Associations of air pollutant concentrations with longitudinal kidney function changes in patients with chronic kidney disease. Sci Rep 2023; 13:9609. [PMID: 37311921 DOI: 10.1038/s41598-023-36682-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Accepted: 06/08/2023] [Indexed: 06/15/2023] Open
Abstract
This longitudinal cohort study investigated the associations of air pollutant exposures, including CO, NO, NO2, NOx, O3, PM10, PM2.5, and SO2, with long-term kidney function changes in patients with chronic kidney disease (CKD). We enrolled 447 CKD patients who took part in a universal hospital pre-ESRD care program during 2011-2015. The daily average air pollutant exposures and temperature were estimated for each patient, with different levels of air pollutant concentrations defined by 5-knot and restricted cubic spline function. Predicted annual estimated glomerular filtration (eGFR) slope values by one mixed model were considered as the study outcome. The average age of the study population was 77.1 ± 12.6 years, and the median annual eGFR decreased by 2.1 ml/min/1.73 m2 per year from 30 ml/min/1.73 m2 at baseline during a mean follow-up time of 3.4 years. The univariable and multivariable analyses revealed no significant linear and non-linear associations between 5-knot air pollutant concentrations and annual eGFR slope. In addition, the visualized spline effect plots show insignificant variation patterns in annual eGFR slope values with increased air pollutant concentrations. These results encourage more extensive studies to clarify the causal relationships and mechanisms of long-term specific air pollutant exposures and longitudinal kidney function change, especially in CKD populations.
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Affiliation(s)
- Cheng-Yin Chung
- Department of Internal Medicine, Pingtung Hospital, Ministry of Health and Welfare, Pingtung, 900214, Taiwan
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, No. 100, TzYou 1st Road, Sanmin District, Kaohsiung City, 80708, Taiwan
| | - Shang-Yu Wu
- Department of Internal Medicine, Pingtung Hospital, Ministry of Health and Welfare, Pingtung, 900214, Taiwan
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, No. 100, TzYou 1st Road, Sanmin District, Kaohsiung City, 80708, Taiwan
| | - Huei-Hsuan Chiu
- Department of Internal Medicine, Pingtung Hospital, Ministry of Health and Welfare, Pingtung, 900214, Taiwan
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, No. 100, TzYou 1st Road, Sanmin District, Kaohsiung City, 80708, Taiwan
| | - Tzu-Ning Wu
- Department of Nursing, Ministry of Health and Welfare, Pingtung Hospital, Pingtung, 900214, Taiwan
| | - Your-Tong Wang
- Department of Nursing, Ministry of Health and Welfare, Pingtung Hospital, Pingtung, 900214, Taiwan
| | - Ming-Yen Lin
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, No. 100, TzYou 1st Road, Sanmin District, Kaohsiung City, 80708, Taiwan.
- Department of Kidney Care, College of Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan.
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Jiang H, Zhang S, Yao X, Meng L, Lin Y, Guo F, Yang D, Jin M, Wang J, Tang M, Chen K. Does physical activity attenuate the association between ambient PM 2.5 and physical function? THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 874:162501. [PMID: 36863583 DOI: 10.1016/j.scitotenv.2023.162501] [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: 12/21/2022] [Revised: 02/21/2023] [Accepted: 02/23/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Physical function (PF), such as muscle strength, performing daily activities, has gradually declined with the increase of age, causing the occurrence of disability and diseases burden. Air pollution exposure and physical activity (PA) were both linked to PF. We aimed to explore the individual and joint effects of particulate matter <2.5 μm (PM2.5) and PA on PF. METHODS A total of 4537 participants and 12,011 observations aged ≥45 years old from the China Health and Retirement Longitudinal Study (CHARLS) cohort from 2011 to 2015 were included into the study. PF was assessed by a combined score of four tests, including grip strength, walking speed, sense of balance, and chair standing tests. Air pollution exposure data was from The ChinaHighAirPollutants (CHAP) dataset. The annual PM2.5 exposure for each individual was estimated based on county-level resident addresses. We estimated the volume of moderate-to-vigorous physical activity (MVPA) by quoting metabolic equivalent (MET). Multivariate linear model was conducted for baseline analysis, and linear mixed model with random participant intercepts was constructed for cohort longitudinal analysis. RESULTS PM2.5 was negatively associated with PF, while PA was positively associated with PF in baseline analysis. In cohort longitudinal analysis, a 10 μg/m3 increase in PM2.5 was associated to a 0.025 point (95 % CI: -0.047, -0.003) decrease in PF score, and a 10-MET-h/week increase in PA was related to a 0.004 point (95 % CI: 0.001, 0.008) increase in PF score. The association between PM2.5 and PF decreased by increased PA intensity, and PA reversed the detrimental effects between PM2.5 and PF. CONCLUSION PA attenuated the association of air pollution with PF at both high and low levels of air pollution, implying that PA may be an effective behavior to reduce the adverse effects of poor air quality on PF.
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Affiliation(s)
- Haiyan Jiang
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Simei Zhang
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xuecheng Yao
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Lin Meng
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yaoyao Lin
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Fanjia Guo
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Dandan Yang
- Department of Public Health, Second 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
| | - Jianbing Wang
- Department of Public Health, National Clinical Research Center for Child Health of Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Mengling Tang
- Department of Public Health, Fourth 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.
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Muruganandam N, Mahalingam S, Narayanan R, Rajadurai E. Meandered and muddled: a systematic review on the impact of air pollution on ocular health. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:64872-64890. [PMID: 37097565 DOI: 10.1007/s11356-023-27079-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 04/13/2023] [Indexed: 05/17/2023]
Abstract
From the years 1970-2023, a systematic overview of the diverse consequences of particulate matter on eye health and a disease classification according to acute, chronic, and genetic are presented using the PubMed, Research Gate, Google Scholar, and Science Direct databases. Various studies on medical aspects correlate with the eye and health. However, from an application perspective, there is limited research on the ocular surface and air pollution. The main objective of the study is to uncover the relationship between eye health and air pollution, particularly particulate matter, along with other external factors acting as aggravators. The secondary goal of the work is to examine the existing models for mimicking human eyes. The study is followed by a questionnaire survey in a workshop, in which the exposure-based investigation was tagged based on their activity. This paper establishes a relationship between particulate matter and its influence on human health, leading to numerous eye diseases like dry eyes, conjunctivitis, myopia, glaucoma, and trachoma. The results of the questionnaire survey indicate that about 68% of the people working in the workshop are symptomatic with tears, blurred vision, and mood swings, while 32% of the people were asymptomatic. Although there are approaches for conducting experiments, the evaluation is not well defined; empirical and numerical solutions for particle deposition on the eye are needed. There prevails a broad gap in the arena of ocular deposition modeling.
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Affiliation(s)
- Niveditha Muruganandam
- Department of Civil Engineering, Kumaraguru College of Technology, Anna University, Coimbatore, Tamil Nadu, India
- Department of Civil Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India
| | - Sneha Mahalingam
- Department of Civil Engineering, Kumaraguru College of Technology, Anna University, Coimbatore, Tamil Nadu, India
- Department of Civil Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India
| | - Ramsundram Narayanan
- Department of Civil Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India.
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Liu M, Ye Z, He P, Yang S, Zhang Y, Zhou C, Zhang Y, Gan X, Qin X. Relations of residential green and blue spaces with new-onset chronic kidney disease. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 869:161788. [PMID: 36708837 DOI: 10.1016/j.scitotenv.2023.161788] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/01/2023] [Accepted: 01/19/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVE We investigated the associations of residential green and blue spaces with chronic kidney disease (CKD) incidence, which have rarely been examined. METHODS A total of 346,697 participants from UK Biobank without CKD at baseline were included. Land coverage percentages of residential green and blue spaces at 300 m and 1000 m buffer were estimated using land use data. The primary outcome was new-onset CKD ascertained through linkage to health administrative datasets. RESULTS During a median follow-up of 12.0 years, 10,101 new-onset CKD were documented. Overall, there were significant inverse associations of residential green space coverage at 300 m (per SD [21.7 %] increment, HR,0.96, 95%CI, 0.94-0.98) and 1000 m (per SD [20.7 %] increment, HR, 0.96, 95%CI, 0.94-0.98) buffer, and blue space at 300 m (per SD [1.1 %] increment, HR, 0.97, 95%CI, 0.95-1.00) and 1000 m (per SD [1.2 %] increment, HR, 0.97, 95%CI, 0.95-1.00) buffer with the risk of new-onset CKD. Moreover, at 300 m buffer, a significantly lower risk of new-onset CKD (HRs ranging from 0.88 to 0.90) was found in participants with both higher green space and higher blue space (both of them in the 2nd or 3rd tertile, and at least one in the 3rd tertile). At 1000 m buffer, a significantly lower risk of new-onset CKD (HRs ranging from 0.79 to 0.89) was found in participants with either higher green space or higher blue space (either one in the 2nd or 3rd tertile). Furthermore, PM2.5 did not significantly modify the association of exposure to green and blue space with the risk of CKD (all P for interactions >0.05). CONCLUSIONS Residential green and blue spaces, especially at larger buffer sizes, might be protective factors against new-onset CKD.
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Affiliation(s)
- Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Xiaoqin Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou 510515, China.
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Xue Y, Cong J, Bai Y, Zheng P, Hu G, Kang Y, Wu Y, Cui L, Jia G, Wang T. Associations between Short-Term Air Pollution Exposure and the Peripheral Leukocyte Distribution in the Adult Male Population in Beijing, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4695. [PMID: 36981603 PMCID: PMC10048523 DOI: 10.3390/ijerph20064695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 02/01/2023] [Accepted: 03/01/2023] [Indexed: 06/18/2023]
Abstract
The inflammatory effects of air pollution exposure may account for increased public health risk. However, evidence regarding the effects of air pollution on peripheral blood leukocytes in the population is inconsistent. We investigated the association between the short-term effects of ambient air pollution and the peripheral blood leukocyte distribution in adult men in Beijing, China. From January 2015 to December 2019, a total of 11,035 men aged 22-45 years in Beijing were included in the study. Their peripheral blood routine parameters were measured. The ambient pollution monitoring parameters (particulate matter ≤ 10 µm (PM10), PM2.5, nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and ozone (O3)) were collected daily. The potential association between ambient air pollution exposure and peripheral blood leukocyte count and classification was analyzed with generalized additive models (GAMs). After adjusting for confounding factors, PM2.5, PM10, SO2, NO2, O3, and CO were significantly correlated with changes to at least one peripheral leukocyte subtype. Short-term and cumulative air pollutant exposure dramatically increased the participants' peripheral blood neutrophil, lymphocyte, and monocyte numbers and decreased eosinophils and basophils. Our results demonstrated that air pollution induced inflammation in the participants. The peripheral leukocyte count and classification can be utilized to evaluate the inflammation induced by air pollution in the exposed male population.
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Affiliation(s)
- Yuting Xue
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing 100191, China
| | - Ji Cong
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing 100191, China
| | - Yi Bai
- Department of Epidemiology, School of Public Health, Peking University, Beijing 100191, China
| | - Pai Zheng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Guiping Hu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
- School of Medical Science and Engineering, Beihang University, Beijing 100191, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China
| | - Yulin Kang
- Institute of Environmental Information, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yonghua Wu
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing 100191, China
| | - Liyan Cui
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing 100191, China
| | - Guang Jia
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Tiancheng Wang
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing 100191, China
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Wang R, Liu J, Qin Y, Chen Z, Li J, Guo P, Shan L, Li Y, Hao Y, Jiao M, Qi X, Meng N, Jiang S, Kang Z, Wu Q. Global attributed burden of death for air pollution: Demographic decomposition and birth cohort effect. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 860:160444. [PMID: 36435245 DOI: 10.1016/j.scitotenv.2022.160444] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/19/2022] [Accepted: 11/19/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND To identify the high-risk pollutants and evolving patterns of attributed mortality burden, more detailed evidence is needed to examine the contribution of different air pollutants to death across the disease spectrum, particularly considering population change as well as the context of the era. METHODS We explored the evolving patterns of all-cause and disease-specific deaths attributed to overall air pollution and its main subcategories by using the estimated annual percentage change and additionally assessing the contribution of population growth and ageing to death burden using the decomposition method. Age-period-cohort model and Joinpoint analysis were used to evaluate birth cohort effects specific-disease death burden owing to high-risk air pollution subcategories. FINDINGS The number of deaths caused by air pollution increased by 2.62 %, which was driven by ambient particulate matter pollution and ambient ozone pollution, whereas household air pollution decreased. Population ageing contributed 28.88 % of the deaths increase change for air pollution. Compared with other subcategories, the age-standardized mortality rate (ASMR) attributed to ambient particulate matter pollution remained the heaviest attributed death burden, comprehensively considering of bivariate burden. In 2019, ischemic heart disease attributed to ambient particulate matter pollution exhibited the highest ASMR, which may be impacted by a rapid increase era from 1950 to 1980 birth cohort in woman and 1970 to 1990 birth cohort in man. Diabetes mellitus attributed to ambient particulate matter pollution showed the largest increase for ASMR, which was driven primarily by men born 1910-1975 and women born 1950-1975.Uzbekistan showed the highest ASMR for ischemic heart disease, with Equatorial Guinea showing the fastest increase for diabetes mellitus. CONCLUSION Priority intervention targets for air pollution and health should emphasize the susceptibility of the elderly population as well as the structural factors of the era, in particular sensitive diseases to the ambient particulate matter pollution.
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Affiliation(s)
- Rizhen Wang
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin 150081, China
| | - Jingjing Liu
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin 150081, China
| | - Yinghua Qin
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin 150081, China; Department of Health Economy and Social Security, College of Humanities and Management, Guilin Medical University, Guilin 541199, China
| | - Zhuo Chen
- College of Public Health, University of Georgia, Athens 30602, GA, USA; School of Economics, University of Nottingham Ningbo China, Ningbo 315100, China
| | - Jiacheng Li
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin 150081, China
| | - Pengfei Guo
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin 150081, China
| | - Linghan Shan
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin 150081, China
| | - Ye Li
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin 150081, China
| | - Yanhua Hao
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin 150081, China
| | - Mingli Jiao
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin 150081, China
| | - Xinye Qi
- Department of Social Medicine and Health Management, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Nan Meng
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin 150081, China
| | - Shengchao Jiang
- Department of Personnel Department, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong 510180, China
| | - Zheng Kang
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin 150081, China
| | - Qunhong Wu
- Department of Health Policy, School of Health Management, Harbin Medical University, Harbin 150081, China.
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Saggu IS, Singh S, Chen K, Xuan Z, Swihart MT, Sharma S. Ultrasensitive Room-Temperature NO 2 Detection Using SnS 2/MWCNT Composites and Accelerated Recovery Kinetics by UV Activation. ACS Sens 2023; 8:243-253. [PMID: 36647806 DOI: 10.1021/acssensors.2c02104] [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] [Indexed: 01/18/2023]
Abstract
High performance with lower power consumption is one among the essential features of a sensing device. Minute traces of hazardous gases such as NO2 are difficult to detect. Tin disulfide (SnS2) nanosheets have emerged as a promising NO2 sensor. However, their poor room-temperature conductivity gives rise to inferior sensitivity and sluggish recovery rates, thereby hindering their applications. To mitigate this problem, we present a low-cost ultrasensitive NO2 gas sensor with tin disulfide/multiwalled carbon nanotube (SnS2/MWCNT) nanocomposites, prepared using a single-step hydrothermal method, as sensing elements. Relative to pure SnS2, the conductivity of nanocomposites improved significantly. The sensor displayed a decrease in resistance when exposed to NO2, an oxidizing gas, and exhibited p-type conduction, also confirmed in separate Mott-Schottky measurements. At a temperature of 20 °C, the sensor device has a relative response of about ≈5% (3%) for 25 ppb (1 ppb) of NO2 with complete recovery in air (10 min) and excellent recovery rates with UV activation (0.3 min). A theoretical lower limit of detection (LOD) of 7 ppt implies greater sensitivity than all previously reported SnS2-based gas sensors, to the best of our knowledge. The improved sensing characteristics were attributed to the formation of nano p-n heterojunctions, which enhances the charge transport and gives rise to faster response. The composite sensor also demonstrated good NO2 selectivity against a variety of oxidizing and reducing gases, as well as excellent stability and long-term durability. This work will provide a fresh perspective on SnS2-based composite materials for practical gas sensors.
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Affiliation(s)
- Imtej Singh Saggu
- Department of Physics, Guru Nanak Dev University, Amritsar, Punjab143005, India
| | - Sukhwinder Singh
- Department of Physics, Guru Nanak Dev University, Amritsar, Punjab143005, India
| | - Kaiwen Chen
- Department of Chemical and Biological Engineering, University at Buffalo (SUNY), Buffalo, New York14260, United States
| | - Zhengxi Xuan
- Department of Chemical and Biological Engineering, University at Buffalo (SUNY), Buffalo, New York14260, United States
| | - Mark T Swihart
- Department of Chemical and Biological Engineering, University at Buffalo (SUNY), Buffalo, New York14260, United States
| | - Sandeep Sharma
- Department of Physics, Guru Nanak Dev University, Amritsar, Punjab143005, India
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Song R, Liu L, Wei N, Li X, Liu J, Yuan J, Yan S, Sun X, Mei L, Liang Y, Li Y, Jin X, Wu Y, Pan R, Yi W, Song J, He Y, Tang C, Liu X, Cheng J, Su H. Short-term exposure to air pollution is an emerging but neglected risk factor for schizophrenia: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 854:158823. [PMID: 36116638 DOI: 10.1016/j.scitotenv.2022.158823] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/03/2022] [Accepted: 09/13/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE This meta-analysis aimed to explore the association between short-term exposure to air pollution and schizophrenia (SCZ)1, and investigate the susceptible population and the lag characteristics of different pollutants. METHODS A systematic review and meta-analysis was conducted by searching PubMed, Cochrane, Web of Sciences, and CNKI for relevant literature published up to 28 Feb 2022. Meta-analysis was performed separately to investigate the association of ambient particulates (diameter ≤ 2.5 μm (PM2.5)2, 2.5 μm < diameter < 10 μm (PMC)3, ≤10μm (PM10)4) and gaseous pollutants (nitrogen dioxide (NO2)5, sulfur dioxide (SO2)6, carbon monoxide (CO)7) with SCZ. Relative risk (RR)8 per 10 μg/m3 increase in air pollutants concentration was used as the effect estimate. Subgroup analyses were conducted by age, gender, country, median pollutant concentration, and median temperature. RESULTS We identified 17 articles mainly conducted in Asia, of which 13 were included in the meta-analysis. Increased risk of SCZ was associated with short-term exposure to PM2.5 (RR: 1.0050, 95 % confidence interval (CI)9: 1.0017, 1.0083), PMC (1.0117, 1.0023, 1.0211), PM10 (1.0047, 1.0025, 1.0070), NO2 (1.0275, 1.0132, 1.0420), and SO2 (1.0288, 1.0146, 1.0432) exposure. Subgroup analyses showed that females may be more susceptible to SO2 and NO2, and the young seem to be more sensitive to PM2.5 and PM10. Gaseous pollutants presented the immediate risk, and particulates showed the delayed risk. CONCLUSIONS The present meta-analysis suggests that short-term exposure to PM2.5, PMC, PM10, SO2, and NO2 exposure may be associated with an elevated risk of SCZ.
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Affiliation(s)
- Rong Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Li Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Ning Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Xuanxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jintao Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jiajun Yuan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Shuangshuang Yan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Xiaoni Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Lu Mei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Yunfeng Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Yuxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Xiaoyu Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Yudong Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Yangyang He
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Chao Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Xiangguo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui 230032, China.
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Liu H, Shao X, Jiang X, Liu X, Bai P, Lin Y, Chen J, Hou F, Cui Z, Zhang Y, Lu C, Liu H, Zhou S, Yu P. Joint exposure to outdoor ambient air pollutants and incident chronic kidney disease: A prospective cohort study with 90,032 older adults. Front Public Health 2022; 10:992353. [PMID: 36187661 PMCID: PMC9524146 DOI: 10.3389/fpubh.2022.992353] [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: 07/14/2022] [Accepted: 08/18/2022] [Indexed: 01/26/2023] Open
Abstract
Objectives There is paucity of studies to investigate the association between combined and long-term exposure to air pollution and the risk of incident chronic kidney disease (CKD) in older adults. Methods A prospective cohort of 90,032 older adults who did not have CKD at baseline were followed up from January 1, 2017, to December 31, 2019. Various pollutant data, including particulate matter with diameters ≤ 2.5 mm (PM2.5), ≤ 10 mm (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), Ozone (O3), and carbon monoxide (CO), from all monitoring stations in Binhai New Area, Tianjin were considered in calculating the mean exposure concentration of each pollutant over 2 years. By summing each pollutant concentration weighted by the regression coefficients, we developed an air pollution score that assesses the combined exposure of these air pollutants. Due to the strong correlation between air pollutants, Principal Component Analysis (PCA) score was also developed. The association between air pollutants and incident CKD in the elderly was analyzed. Results A total of 90,032 subjects participated in this study with a median follow-up of 545 days. Among them, 22,336 (24.8%) developed CKD. The HR (95% CI) for air pollution score and incidence of CKD was 1.062 (1.060-1.063) and p <0.001 after adjusting for all confounders. The adjusted HRs for the quartile subgroups of combined air pollution score were: Q2: 1.064 (1.013-1.117); Q3: 1.141 (1.088-1.198); and Q4: 3.623 (3.482-3.770), respectively (p for trend <0.001). The adjusted HRs for the quartile subgroups of air quality index (AQI) were: Q2: 1.035 (0.985-1.086); Q3: 1.145 (1.091-1.201); and Q4: 3.603 (3.463-3.748), respectively (p for trend <0.001). When the risk score was over 86.9, it significantly rose in a steep curve. The subgroup analysis showed that male, younger or exercise were more likely to develop CKD. Conclusion Combined air pollution score, AQI, and PCA score were associated with an increased risk of CKD in an exposure-response relationship. Our current results might also provide evidence for developing environmental protection policies.
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Affiliation(s)
- Hongyan Liu
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Xian Shao
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Xi Jiang
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Xiaojie Liu
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Pufei Bai
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Yao Lin
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Jiamian Chen
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Fang Hou
- Community Health Service Center, Tianjin, China
| | - Zhuang Cui
- Department of Epidemiology and Health Statistics, Tianjin Medical University, Tianjin, China
| | | | - Chunlan Lu
- Community Health Service Center, Tianjin, China
| | - Hao Liu
- Community Health Service Center, Tianjin, China
| | - Saijun Zhou
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China
| | - Pei Yu
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China,Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China,*Correspondence: Pei Yu
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Guo Q, Ren M, Wu S, Sun Y, Wang J, Wang Q, Ma Y, Song X, Chen Y. Applications of artificial intelligence in the field of air pollution: A bibliometric analysis. Front Public Health 2022; 10:933665. [PMID: 36159306 PMCID: PMC9490423 DOI: 10.3389/fpubh.2022.933665] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 08/11/2022] [Indexed: 01/25/2023] Open
Abstract
Background Artificial intelligence (AI) has become widely used in a variety of fields, including disease prediction, environmental monitoring, and pollutant prediction. In recent years, there has also been an increase in the volume of research into the application of AI to air pollution. This study aims to explore the latest trends in the application of AI in the field of air pollution. Methods All literature on the application of AI to air pollution was searched from the Web of Science database. CiteSpace 5.8.R1 was used to analyze countries/regions, institutions, authors, keywords and references cited, and to reveal hot spots and frontiers of AI in atmospheric pollution. Results Beginning in 1994, publications on AI in air pollution have increased in number, with a surge in research since 2017. The leading country and institution were China (N = 524) and the Chinese Academy of Sciences (N = 58), followed by the United States (N = 455) and Tsinghua University (N = 33), respectively. In addition, the United States (0.24) and the England (0.27) showed a high degree of centrality. Most of the identified articles were published in journals related to environmental science; the most cited journal was Atmospheric Environment, which reached nearly 1,000 citations. There were few collaborations among authors, institutions and countries. The hot topics were machine learning, air pollution and deep learning. The majority of the researchers concentrated on air pollutant concentration prediction, particularly the combined use of AI and environmental science methods, low-cost air quality sensors, indoor air quality, and thermal comfort. Conclusion Researches in the field of AI and air pollution are expanding rapidly in recent years. The majority of scholars are from China and the United States, and the Chinese Academy of Sciences is the dominant research institution. The United States and the England contribute greatly to the development of the cooperation network. Cooperation among research institutions appears to be suboptimal, and strengthening cooperation could greatly benefit this field of research. The prediction of air pollutant concentrations, particularly PM2.5, low-cost air quality sensors, and thermal comfort are the current research hotspot.
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Affiliation(s)
- Qiangqiang Guo
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Mengjuan Ren
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Shouyuan Wu
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Yajia Sun
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Jianjian Wang
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Qi Wang
- Department of Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada,McMaster Health Forum, McMaster University, Hamilton, ON, Canada
| | - Yanfang Ma
- School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China
| | - Xuping Song
- School of Public Health, Lanzhou University, Lanzhou, China,Research Unit of Evidence-Based Evaluation and Guidelines, Chinese Academy of Medical Sciences (2021RU017), School of Basic Medical Sciences, Lanzhou University, Lanzhou, China,Lanzhou University Institute of Health Data Science, Lanzhou, China,World Health Organization Collaborating Center for Guideline Implementation and Knowledge Translation, Lanzhou, China,*Correspondence: Xuping Song
| | - Yaolong Chen
- School of Public Health, Lanzhou University, Lanzhou, China,Research Unit of Evidence-Based Evaluation and Guidelines, Chinese Academy of Medical Sciences (2021RU017), School of Basic Medical Sciences, Lanzhou University, Lanzhou, China,Lanzhou University Institute of Health Data Science, Lanzhou, China,World Health Organization Collaborating Center for Guideline Implementation and Knowledge Translation, Lanzhou, China,Yaolong Chen
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Li S, Meng Q, Laba C, Guan H, Wang Z, Pan Y, Wei J, Xu H, Zeng C, Wang X, Jiang M, Lu R, Guo B, Zhao X. Associations between long-term exposure to ambient air pollution and renal function in Southwest China: The China Multi-Ethnic Cohort (CMEC) study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 242:113851. [PMID: 35816844 DOI: 10.1016/j.ecoenv.2022.113851] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/21/2022] [Accepted: 07/01/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Limited studies have examined associations between air pollutants exposure and renal function, especially in China, with the most extensive chronic kidney disease (CKD) disease burden worldwide. OBJECTIVES This study examines associations between long-term exposure to ambient PM2.5, NO2, CO, O3, SO2 and renal function. METHODS We included 80,225 participants aged 30-79 years from the baseline data of the China Multi-Ethnic Cohort (CMEC) study. Three-year average concentrations of PM2.5, NO2, CO, O3, and SO2 were estimated using satellite-based spatiotemporal models. Renal function is determined by the estimated glomerular filtration rate (eGFR) using Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. After adjusting for covariates, generalized propensity scores (GPS) weighting regression was used to estimate associations between ambient air pollutants and renal function. RESULTS An increase of 0.1 mg/m3 CO (OR [odds ratio] =1.20 95% CI [confidence interval], 1.05-1.37) was positively associated with CKD. An increase of 1 μg/m3 in SO2 (1.07, 1.00-1.14) concentration was positively associated with CKD. An increase of 10 μg/m3 in PM2.5 (1.17, 0.99-1.38), NO2 (1.12, 0.83-1.51) and O3 (1.10, 0.81-1.50) concentration was not associated with CKD. These effects are stronger in those younger than 65, smoking and with low BMI. CONCLUSIONS In this study, we found that long-term exposure to ambient CO and SO2 were positively associated with CKD. Gaseous pollutants should also arouse the concern of relevant departments.
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Affiliation(s)
- Sicheng Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qiong Meng
- School of Public Health, Kunming Medical University, Kunming, Yunnan, China
| | - Ciren Laba
- Tibet Center for Disease Control and Prevention CN, Lhasa, Tibet, China
| | - Han Guan
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou, China
| | - Zhenghong Wang
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | | | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland at College Park, College Park, MD, USA
| | - Huan Xu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chunmei Zeng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xing Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Min Jiang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Rong Lu
- Chengdu Center for Disease Control & Prevention, Chengdu, Sichuan, China.
| | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
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Jacobson MH, Wu Y, Liu M, Kannan K, Lee S, Ma J, Warady BA, Furth S, Trachtman H, Trasande L. Urinary Polycyclic Aromatic Hydrocarbons in a Longitudinal Cohort of Children with CKD: A Case of Reverse Causation? KIDNEY360 2022; 3:1011-1020. [PMID: 35845343 PMCID: PMC9255870 DOI: 10.34067/kid.0000892022] [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: 02/01/2022] [Accepted: 03/28/2022] [Indexed: 01/10/2023]
Abstract
Background Air pollution, which results in the formation of polycyclic aromatic hydrocarbons (PAHs), has been identified as a cause of renal function decline and a contributor to CKD. However, the results of cross-sectional studies investigating personal, integrated biomarkers of PAHs have been mixed. Longitudinal studies may be better suited to evaluate environmental drivers of kidney decline. The purpose of this study was to examine associations of serially measured urinary PAH metabolites with clinical and subclinical measures of kidney function over time among children with CKD. Methods This study was conducted among 618 participants in the Chronic Kidney Disease in Children study, a cohort study of pediatric patients with CKD from the United States and Canada, between 2005 and 2015. In serially collected urine samples over time, nine PAH metabolites were measured. Clinical outcomes measured annually included eGFR, proteinuria, and BP. Subclinical biomarkers of tubular injury (kidney injury molecule-1 [KIM-1] and neutrophil gelatinase-associated lipocalin [NGAL]) and oxidant stress (8-hydroxy-2'-deoxyguanosine [8-OHdG] and F2-isoprostane) were assayed in urine samples. Results Children were followed over an average (SD) of 3.0 (1.6) years and 2469 study visits (mean±SD, 4.0±1.6). Hydroxynaphthalene (NAP) or hydroxyphenanthrene (PHEN) metabolites were detected in >99% of samples and NAP concentrations were greater than PHEN concentrations. PHEN metabolites, driven by 3-PHEN, were associated with increased eGFR and reduced proteinuria, diastolic BP z-score, and NGAL concentrations over time. However, PAH metabolites were consistently associated with increased KIM-1 and 8-OHdG concentrations. Conclusions Among children with CKD, these findings provoke the potential explanation of reverse causation, where renal function affects measured biomarker concentrations, even in the setting of a longitudinal study. Additional work is needed to determine if elevated KIM-1 and 8-OHdG excretion reflects site-specific injury to the proximal tubule mediated by low-grade oxidant stress.
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Affiliation(s)
- Melanie H Jacobson
- Division of Environmental Pediatrics, Department of Pediatrics, New York University Langone Medical Center, New York, New York
| | - Yinxiang Wu
- Department of Population Health, New York University Langone Medical Center, New York, New York
| | - Mengling Liu
- Department of Population Health, New York University Langone Medical Center, New York, New York
- Department of Environmental Medicine, New York University Langone Medical Center, New York, New York
| | - Kurunthachalam Kannan
- Division of Environmental Pediatrics, Department of Pediatrics, New York University Langone Medical Center, New York, New York
- Wadsworth Center, New York State Department of Health, and Department of Environmental Health Sciences, School of Public Health, State University of New York at Albany, Albany, New York
| | - Sunmi Lee
- Division of Environmental Pediatrics, Department of Pediatrics, New York University Langone Medical Center, New York, New York
- Wadsworth Center, New York State Department of Health, and Department of Environmental Health Sciences, School of Public Health, State University of New York at Albany, Albany, New York
| | - Jing Ma
- Wadsworth Center, New York State Department of Health, and Department of Environmental Health Sciences, School of Public Health, State University of New York at Albany, Albany, New York
| | - Bradley A Warady
- Division of Nephrology, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, Missouri
| | - Susan Furth
- Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Howard Trachtman
- Department of Pediatrics, Division of Nephrology, New York University Langone Medical Center, New York, New York
- University of Michigan, Ann Arbor, Michigan
| | - Leonardo Trasande
- Division of Environmental Pediatrics, Department of Pediatrics, New York University Langone Medical Center, New York, New York
- Department of Population Health, New York University Langone Medical Center, New York, New York
- Department of Environmental Medicine, New York University Langone Medical Center, New York, New York
- New York University Wagner School of Public Service, New York, New York
- New York University College of Global Public Health, New York, New York
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Li FR, Zhu B, Liao J, Cheng Z, Jin C, Mo C, Liang F. Ambient Air Pollutants and Incident Microvascular Disease: A Cohort Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:8485-8495. [PMID: 35616623 DOI: 10.1021/acs.est.2c00898] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Little is known about the links between long-term exposure to air pollution and risk of incident microvascular disease (retinopathy, peripheral neuropathy, and chronic kidney disease). This study included 396 014 UK residents free of microvascular disease and macrovascular disease at baseline. Annual means of PM2.5, PM2.5-10, PM10, NO2, and NOx were assessed by land use regression models for each participant. A weighted air pollution score was generated from PM10 and NOx. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). During a median follow-up of 11.7 years, 14 327 composite microvascular disease occurred. While none of the air pollutants showed any statistically significant association with the risk of retinopathy, all the air pollutants were linked to the risk of peripheral neuropathy and chronic kidney disease. The adjusted-HRs (95% CIs) for each interquartile range increase in air pollution score were 1.07 (1.05, 1.09), 1.01 (0.94, 1.07), 1.13 (1.08, 1.19), and 1.07 (1.05, 1.10) for overall microvascular disease, retinopathy, peripheral neuropathy, and chronic kidney disease, respectively. In conclusion, long-term exposure to overall air pollution was associated with higher risks of peripheral neuropathy and chronic kidney disease among the general UK population.
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Affiliation(s)
- Fu-Rong Li
- School of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang community, Taoyuan Street, Nanshan District, Shenzhen, 518055, Guangdong China
| | - Bin Zhu
- School of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang community, Taoyuan Street, Nanshan District, Shenzhen, 518055, Guangdong China
| | - Jian Liao
- School of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang community, Taoyuan Street, Nanshan District, Shenzhen, 518055, Guangdong China
| | - Zhiyuan Cheng
- School of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang community, Taoyuan Street, Nanshan District, Shenzhen, 518055, Guangdong China
| | - Cheng Jin
- School of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang community, Taoyuan Street, Nanshan District, Shenzhen, 518055, Guangdong China
| | - Chunbao Mo
- School of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang community, Taoyuan Street, Nanshan District, Shenzhen, 518055, Guangdong China
| | - Fengchao Liang
- School of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Fuguang community, Taoyuan Street, Nanshan District, Shenzhen, 518055, Guangdong China
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Wu J, Ye Q, Fang L, Deng L, Liao T, Liu B, Lv X, Zhang J, Tao J, Ye D. Short-term association of NO 2 with hospital visits for chronic kidney disease and effect modification by temperature in Hefei, China: A time series study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 237:113505. [PMID: 35462193 DOI: 10.1016/j.ecoenv.2022.113505] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 04/05/2022] [Accepted: 04/07/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND A large body of evidence has linked air pollution and temperature with chronic kidney disease (CKD) prevalence and hospitalizations. However, most studies have focused on the influence of heat stress on CKD prevalence, and the potential effect modification of temperature on the association between air pollution and CKD has not been well-investigated. In this study, we examined the associations of the whole temperature spectrum and air pollution with CKD-related hospital visits and explored whether temperature modifies the short-term association of air pollution with CKD-related hospital visits. METHODS AND FINDINGS We collected 40 276 CKD-related hospital visits from the first Affiliated Hospital of Anhui Medical University and Anhui Provincial Hospital in Hefei, China, during 2015-2019. A two-stage time-series design was conducted to investigate the associations of air pollution and daily mean temperature with CKD-related hospital visits. First, we estimated the associations between air pollution and CKD-related hospital visits as well as temperature and CKD-related hospital visits. Second, we analyzed the associations of air pollution with CKD hospital visits at different temperatures. We found that NO2 exposure and low temperature were associated with an increased risk of CKD-related hospital visits. Low temperature enhanced the association between NO2 exposure and CKD-related hospital visits, with an increase of 4.30% (95% CI: 2.47-5.92%) per 10 μg/m3 increment in NO2 at low temperature. Effect modification of the association between NO2 and the risk of CKD-related hospital visits was stronger at low temperature across the whole population. CONCLUSIONS Our findings indicate that low temperature-related chronic kidney damage should be of immediate public health concern. Impact of NO2 exposure on the risk of CKD-related hospital visits may increase under the low temperature, which suggests the need for NO2 exposure mitigation strategies in the context of climate change and an enhanced understanding of the mechanisms underlying the temperature variance of air pollution effect to help reduce the magnitude of the CKD burden on the healthcare systems.
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Affiliation(s)
- Jun Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - QianLing Ye
- Department of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - LanLan Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - LiJun Deng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Tao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Bo Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - XiaoJie Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Jie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - JinHui Tao
- Department of Rheumatology & Immunology, Anhui Provincial Hospital, Hefei, Anhui, China.
| | - DongQing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China.
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Okoye OC, Carnegie E, Mora L. Air Pollution and Chronic Kidney Disease Risk in Oil and Gas- Situated Communities: A Systematic Review and Meta-Analysis. Int J Public Health 2022; 67:1604522. [PMID: 35479765 PMCID: PMC9035494 DOI: 10.3389/ijph.2022.1604522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 03/15/2022] [Indexed: 11/24/2022] Open
Abstract
Objective: This systematic review and meta-analysis aimed at synthesising epidemiological data on the association between long-term air pollution and kidney-related outcomes in oil and natural gas (ONG) situated communities. Methods: We synthesised studies using the PRISMA 2020 guideline. We searched databases including Medline, Cochrane Library, CIHANL, CAB Abstracts, Greenlife, African Journal Online, Google Scholar and Web of Science, from inception to April 2021. Heterogeneity across studies and publication bias were assessed. Results: Twenty-five studies were systematically reviewed but only 14 were included in the meta-analysis and categorised based on the outcome studied. Residents of exposed communities have increased risk for Chronic Kidney Disease (CKD) (OR = 1.70, 95% CI 1.44–2.01), lower eGFR (OR = 0.55, 95% CI 0.48–0.67) and higher serum creatinine (OR = 1.39, 95% CI 1.06–1.82) compared to less exposed or unexposed populations. The risks for hypertension and kidney cancer between the two populations were not significantly different. Conclusion: We report an increased risk for CKD and kidney dysfunction in populations residing near petrochemical plants, although from a limited number of studies. The scientific community needs to explore this environment and non-communicable disease relationship, particularly in vulnerable populations.
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Affiliation(s)
- Ogochukwu Chinedum Okoye
- Department of Internal Medicine, Delta State University, Abraka, Nigeria
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, United Kingdom
- *Correspondence: Ogochukwu Chinedum Okoye,
| | - Elaine Carnegie
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, United Kingdom
| | - Luca Mora
- Urban Innovation, Business School, Edinburgh Napier University, Edinburgh, United Kingdom
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Zang ST, Wu QJ, Li XY, Gao C, Liu YS, Jiang YT, Zhang JY, Sun H, Chang Q, Zhao YH. Long-term PM 2.5 exposure and various health outcomes: An umbrella review of systematic reviews and meta-analyses of observational studies. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 812:152381. [PMID: 34914980 DOI: 10.1016/j.scitotenv.2021.152381] [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: 07/25/2021] [Revised: 12/09/2021] [Accepted: 12/09/2021] [Indexed: 06/14/2023]
Abstract
Adverse effects from exposure to particulate matter <2.5 μm in diameter (PM2.5) on health-related outcomes have been found in a range of experimental and epidemiological studies. This study aimed to assess the significance, validity, and reliability of the relationship between long-term PM2.5 exposure and various health outcomes. The Embase, PubMed, Web of Science, CNKI, WANFANG, VIP, and SinoMed databases and reference lists of the retrieved review articles were searched to obtain meta-analysis and systematic reviews focusing on PM2.5-related outcomes as of August 31, 2021. Random-/fixed-effects models were applied to estimate summary effect size and 95% confidence intervals (CIs). The quality of included meta-analyses was evaluated based on the AMSTAR 2 tool. Small-study effect and excess significance bias studies were conducted to further assess the associations. Registered PROSPERO number: CRD42020200606. This included 24 articles involving 71 associations between PM2.5 exposure and the health outcomes. The evidence for the positive association of 10 μg/m3 increments of long-term exposure to PM2.5 and stroke incidence in Europe was convincing (effect size = 1.07, 95% CI: 1.05-1.10). There was evidence that was highly suggestive of a positive association between 10 μg/m3 increments of long-term exposure to PM2.5 and the following health-related outcomes: mortality of lung cancer (effect size = 1.11, 95% CI: 1.08-1.13) and Alzheimer's disease (effect size = 4.79, 95% CI: 2.79-8.21). There was highly suggestive evidence that chronic obstructive pulmonary disease risk is positively associated with higher long-term PM2.5 exposure versus lower long-term PM2.5 exposure (effect size = 2.32, 95% CI: 1.88-2.86). In conclusion, the positive association of long-term exposure to PM2.5 and stroke incidence in Europe was convincing. Given the validity of numerous associations of long-term exposure to PM2.5 and health-related outcomes is subject to biases, more robust evidence is urgently needed.
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Affiliation(s)
- Si-Tian Zang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
| | - Xin-Yu Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Chang Gao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Ya-Shu Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yu-Ting Jiang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Jia-Yu Zhang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Hui Sun
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Qing Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
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Fang J, Tang S, Deng F, Gao X, Wuchang C, Liu Y, Dong H, Du Y, Li T, Shi X. Associations of Carbonaceous Compounds and Water-Soluble Inorganic Ions in Ambient PM 2.5 with Renal Function in Older Individuals: The China BAPE Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:433-439. [PMID: 34913675 DOI: 10.1021/acs.est.1c04526] [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] [Indexed: 06/14/2023]
Abstract
Exposure to fine particulate matter (PM2.5) is proven to be associated with a decline in renal function. However, few studies have explored the acute renal damage from carbonaceous compounds and water-soluble inorganic ions (WSIIs), which constitute the bulk of total PM2.5 mass. We examined the acute effect of these constituents of ambient PM2.5 on renal function in older Chinese individuals. Seventy-one healthy people aged 60-69 years from Jinan, China, were enrolled and visited monthly and asked to complete survey questionnaires, undergo physical exams, and provide blood samples. The hourly concentrations of organic carbon, elemental carbon (EC), and WSIIs in ambient PM2.5 were collected from a fixed-site monitoring station. The association between PM2.5 constituents and estimated glomerular filtration rate (eGFR) was evaluated using linear mixed-effects models after controlling for a series of covariates. We observed that ambient carbonaceous compounds and WSIIs were associated with a significant decline in renal function. The interquartile range increased in the 24 h moving average of carbonaceous compounds, and WSIIs in ambient PM2.5 were associated with -13.11% [95% confidence interval (95% CI): -19.49, -6.21%] to -0.81% (95% CI: -4.17, 2.67%) changes in eGFR. We found significant associations between EC, chlorine (Cl-), sodium (Na+), and magnesium (Mg2+) and eGFR in single-pollutant, constituent-PM2.5, and residual-constituent models with a lag period of 0-24 h. This study demonstrated that carbonaceous compounds and WSIIs in PM2.5 were inversely associated with renal function.
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Affiliation(s)
- Jianlong Fang
- China CDC Key Lab oratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Song Tang
- China CDC Key Lab oratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Fuchang Deng
- China CDC Key Lab oratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Xu Gao
- School of Public Health, Peking University, Beijing 100191, China
| | - Chen Wuchang
- China CDC Key Lab oratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yuanyuan Liu
- China CDC Key Lab oratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Haoran Dong
- China CDC Key Lab oratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yanjun Du
- China CDC Key Lab oratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Tiantian Li
- China CDC Key Lab oratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Xiaoming Shi
- China CDC Key Lab oratory of Environment and Human Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
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Lee W, Wu X, Heo S, Fong KC, Son JY, Sabath MB, Braun D, Park JY, Kim YC, Lee JP, Schwartz J, Kim H, Dominici F, Bell M. Associations between long term air pollution exposure and first hospital admission for kidney and total urinary system diseases in the US Medicare population: nationwide longitudinal cohort study. BMJ MEDICINE 2022; 1:e000009. [PMID: 36936557 PMCID: PMC10012859 DOI: 10.1136/bmjmed-2021-000009] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 03/21/2022] [Indexed: 11/04/2022]
Abstract
Objective To estimate the associations between long term exposure to air pollution and the first hospital admission related to kidney and total urinary system diseases. Design Nationwide longitudinal cohort study. Setting Data were collected from the Medicare fee-for-service for beneficiaries living in 34 849 zip codes across the continental United States from 2000 to 2016. Exposure variables were annual averages of traffic related pollutants (fine particles (PM2.5) and nitrogen dioxide (NO2)) that were assigned according to the zip code of residence of each beneficiary with the use of validated and published hybrid ensemble prediction models. Participants All beneficiaries aged 65 years or older who were enrolled in Medicare part A fee-for-service (n=61 097 767). Primary and secondary outcome measures First hospital admission with diagnosis codes for total kidney and urinary system disease or chronic kidney disease (CKD), analyzed separately. Results The average annual concentrations of air pollution were 9.8 µg/m3 for PM2.5 and 18.9 ppb for NO2. The total number of first admissions related to total kidney and urinary system disease and CKD were around 19.0 million and 5.9 million, respectively (2000-16). For total kidney and urinary system disease, hazard ratios were 1.076 (95% confidence interval 1.071 to 1.081) for a 5 µg/m3 increase in PM2.5 and 1.040 (1.036 to 1.043) for a 10 ppb increase in NO2. For CKD, hazard ratios were 1.106 (1.097 to 1.115) for a 5 µg/m3 increase in PM2.5 and 1.013 (1.008 to 1.019) for a 10 ppb increase in NO2. These positive associations between PM2.5 and kidney outcomes persisted at concentrations below national health based air quality standards. Conclusions The findings suggest that higher annual air pollution levels were associated with increased risk of first hospital admission related to diseases of the kidney and urinary system or CKD in the Medicare population.
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Affiliation(s)
- Whanhee Lee
- School of the Environment, Yale University, New Haven, CT, USA
- Department of Environmental Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
- Institute of Ewha-SCL for Environmental Health (IESEH), Seoul, Republic of Korea
| | - Xiao Wu
- Department of Biostatistics, Harvard University T H Chan School of Public Health, Boston, MA, USA
| | - Seulkee Heo
- School of the Environment, Yale University, New Haven, CT, USA
| | - Kelvin C Fong
- School of the Environment, Yale University, New Haven, CT, USA
| | - Ji-Young Son
- School of the Environment, Yale University, New Haven, CT, USA
| | | | - Danielle Braun
- Harvard University T H Chan School of Public Health, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Jae Yoon Park
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Gyeonggi-do, Republic of Korea
- Department of Internal Medicine, Dongguk University College of Medicine, Goyang, Gyeonggi-do, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Joel Schwartz
- Environmental Health, Harvard University T H Chan School of Public Health, Boston, MA, USA
| | - Ho Kim
- Graduate School of Public Health, Seoul National University, Gwanak-gu, Seoul, Republic of Korea
- Institute for Sustainable Development, Graduate School of Public Health, Seoul, Republic of Korea
| | - Francesca Dominici
- Department of Biostatistics, Harvard University T H Chan School of Public Health, Boston, MA, USA
| | - Michelle Bell
- School of the Environment, Yale University, New Haven, CT, USA
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Copur S, Ucku D, Kanbay M. OUP accepted manuscript. Clin Kidney J 2022; 15:1800-1802. [PMID: 36158144 PMCID: PMC9494525 DOI: 10.1093/ckj/sfac101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Indexed: 12/03/2022] Open
Abstract
Air pollution is an emerging etiology of chronic kidney disease (CKD). Evidence regarding this causative relationship has been shown by several studies. Recently, Lin et al. conducted the first community-based study investigating the association between CKD prevalence and air pollutant levels utilizing a Fuzzy Logic Interference model. Despite the study's limitations, the results correlate with the previous meta-analysis and observational studies. Higher fine particular matter (PM2.5) levels are associated with the increased global burden of CKD and may also influence the unequal distribution of burden in low-to-middle income countries. Despite growing evidence of the association of air pollution with CKD risk, the underlying pathophysiology has yet to be fully understood. Future studies investigating the pathophysiology and efficiency of the potential therapeutic and preventive measures against air pollution-related kidney injury are required to reduce the CKD burden.
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Affiliation(s)
- Sidar Copur
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Duygu Ucku
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
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Zhang W, Wang X, Fan Z, Li J, Liu G, Lv X, Li B, Zhou J, Xie E, Zhang Z. Switching Effect of p-CuO Nanotube/n-In 2S 3 Nanosheet Heterostructures for High-Performance Room-Temperature H 2S Sensing. ACS APPLIED MATERIALS & INTERFACES 2021; 13:52938-52949. [PMID: 34704433 DOI: 10.1021/acsami.1c15564] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
High operating temperature and low response restrict the application of H2S sensors. Due to the strong chemical affinity of CuO to H2S and the large band gap and high stability of β-In2S3, CuO nanotube/In2S3 nanosheet p/n heterostructures have been delicately designed for binder-free gas sensors by a facile method consisting of sputtering, chemical etching, and annealing. A switching effect of H2S concentration on the response of CuO/In2S3 gas sensors has been observed. When exposed to low-concentration H2S (1-10 ppm), the response is less than 0.10 and dominated by the surface-type adsorption-desorption process between CuO and H2S. When exposed to high-concentration H2S, the sensor exhibits a superior response of 3511 toward 50 ppm H2S, considerable selectivity, and long-term stability at room temperature. This dramatically enhanced response can be explained by the transformed junction from the CuO/In2S3 heterojunction to the CuS/In2S3 Schottky junction. These results suggest that the binder-free ceramic tube-type CuO/In2S3 gas sensor with considerable performance will have promising potential for H2S gas detection. Moreover, this method provides an effective strategy to fabricate other binder-free gas sensors.
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Affiliation(s)
- Wenjian Zhang
- Key Laboratory of Special Function Materials and Structure Design of the Ministry of Education, Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Xukun Wang
- Key Laboratory of Special Function Materials and Structure Design of the Ministry of Education, Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Ziye Fan
- Key Laboratory of Special Function Materials and Structure Design of the Ministry of Education, Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Juan Li
- Department of Gastroenterology, Gansu Provincial Hospital, Lanzhou 730000, China
- The First School of Clinical Medicine, Lanzhou University, Lanzhou 730000, China
| | - Guo Liu
- Key Laboratory of Special Function Materials and Structure Design of the Ministry of Education, Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Xueliang Lv
- Key Laboratory of Special Function Materials and Structure Design of the Ministry of Education, Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Bingsheng Li
- State Key Laboratory for Environment-friendly Energy Materials, Southwest University of Science and Technology, Mianyang 621010, China
| | - Jinyuan Zhou
- Key Laboratory of Special Function Materials and Structure Design of the Ministry of Education, Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Erqing Xie
- Key Laboratory of Special Function Materials and Structure Design of the Ministry of Education, Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China
| | - Zhenxing Zhang
- Key Laboratory of Special Function Materials and Structure Design of the Ministry of Education, Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education, School of Physical Science and Technology, Lanzhou University, Lanzhou 730000, China
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Multi-Task Learning-Based Immunofluorescence Classification of Kidney Disease. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182010798. [PMID: 34682567 PMCID: PMC8535636 DOI: 10.3390/ijerph182010798] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 09/24/2021] [Accepted: 09/26/2021] [Indexed: 12/14/2022]
Abstract
Chronic kidney disease is one of the most important causes of mortality worldwide, but a shortage of nephrology pathologists has led to delays or errors in its diagnosis and treatment. Immunofluorescence (IF) images of patients with IgA nephropathy (IgAN), membranous nephropathy (MN), diabetic nephropathy (DN), and lupus nephritis (LN) were obtained from the General Hospital of Chinese PLA. The data were divided into training and test data. To simulate the inaccurate focus of the fluorescence microscope, the Gaussian method was employed to blur the IF images. We proposed a novel multi-task learning (MTL) method for image quality assessment, de-blurring, and disease classification tasks. A total of 1608 patients’ IF images were included—1289 in the training set and 319 in the test set. For non-blurred IF images, the classification accuracy of the test set was 0.97, with an AUC of 1.000. For blurred IF images, the proposed MTL method had a higher accuracy (0.94 vs. 0.93, p < 0.01) and higher AUC (0.993 vs. 0.986) than the common MTL method. The novel MTL method not only diagnosed four types of kidney diseases through blurred IF images but also showed good performance in two auxiliary tasks: image quality assessment and de-blurring.
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Chen Y, Cao F, Xiao JP, Fang XY, Wang XR, Ding LH, Wang DG, Pan HF. Emerging role of air pollution in chronic kidney disease. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:52610-52624. [PMID: 34448134 DOI: 10.1007/s11356-021-16031-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 08/14/2021] [Indexed: 06/13/2023]
Abstract
Chronic kidney disease (CKD), a global disease burden related to high rates of incidence and mortality, manifests as progressive and irretrievable nephron loss and decreased kidney regeneration capacity. Emerging studies have suggested that exposure to air pollution is closely relevant to increased risk of CKD, CKD progression and end-stage kidney disease (ESKD). Inhaled airborne particles may cause vascular injury, intraglomerular hypertension, or glomerulosclerosis through non-hemodynamic and hemodynamic factors with multiple complex interactions. The mechanisms linking air pollutants exposure to CKD include elevated blood pressure, worsening oxidative stress and inflammatory response, DNA damage and abnormal metabolic changes to aggravate kidney damage. In the present review, we will discuss the epidemiologic observations linking air pollutants exposure to the incidence and progression of CKD. Then, we elaborate the potential roles of several air pollutants including particulate matter and gaseous co-pollutants, environmental tobacco smoke, and gaseous heavy metals in its pathogenesis. Finally, this review outlines the latent effect of air pollution in ESKD patients undergoing dialysis or renal transplant, kidney cancer and other kidney diseases. The information obtained may be beneficial for further elucidating the pathogenesis of CKD and making proper preventive strategies for this disease.
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Affiliation(s)
- Yue Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Fan Cao
- Department of Ophthalmology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Hefei, Anhui, China
| | - Jian-Ping Xiao
- Department of Nephrology, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Xin-Yu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China
| | - Xue-Rong Wang
- Department of Nephrology, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Li-Hong Ding
- Department of Nephrology, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - De-Guang Wang
- Department of Nephrology, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, 81 Meishan Road, Hefei, Anhui, China.
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Hwang SY, Jeong S, Choi S, Kim DH, Kim SR, Lee G, Son JS, Park SM. Association of Air Pollutants with Incident Chronic Kidney Disease in a Nationally Representative Cohort of Korean Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18073775. [PMID: 33916625 PMCID: PMC8038583 DOI: 10.3390/ijerph18073775] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 11/16/2022]
Abstract
(1) Background: There is limited information regarding association between long-term exposure to air pollutants and risk of chronic kidney disease (CKD) (2). Methods: This study acquired data of 164,093 adults aged at least 40 years who were residing in 7 metropolitan cities between 2002 and 2005 from the Korean National Health Insurance Service National Sample Cohort database. CKD risk was evaluated using the multivariate Cox hazards proportional regression. All participants were followed up with until CKD, death, or 31 December 2013, whichever occurred earliest. (3) Results: Among 1,259,461 person-years of follow-up investigation, CKD cases occurred in 1494 participants. Air pollutant exposures including PM10, SO2, NO2, CO, and O3 showed no significant association with incident CKD after adjustments for age, sex, household income, area of residence, and the Charlson comorbidity index. The results were consistent in the sensitivity analyses including first and last year annual exposure analyses as well as latent periods-washed-out analyses. (4) Conclusions: Long-term exposure to air pollution is not likely to increase the risk of CKD.
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Affiliation(s)
- Seo Yun Hwang
- School of Health and Environmental Science, Korea University, Seoul 02841, Korea;
| | - Seogsong Jeong
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea; (S.J.); (S.C.)
| | - Seulggie Choi
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea; (S.J.); (S.C.)
| | - Dong Hyun Kim
- Department of Medicine, Seoul National University College of Medicine, Seoul 03080, Korea; (D.H.K.); (S.R.K.)
| | - Seong Rae Kim
- Department of Medicine, Seoul National University College of Medicine, Seoul 03080, Korea; (D.H.K.); (S.R.K.)
| | - Gyeongsil Lee
- Department of Family Medicine, Seoul National University Hospital, Seoul 03080, Korea;
| | - Joung Sik Son
- Department of Family Medicine, Korea University Guro Hospital, Seoul 08308, Korea;
| | - Sang Min Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul 03080, Korea; (S.J.); (S.C.)
- Department of Family Medicine, Seoul National University Hospital, Seoul 03080, Korea;
- Correspondence:
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