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Ramel-Delobel M, Peruzzi C, Coudon T, De Vito S, Fattoruso G, Praud D, Fervers B, Salizzoni P. Exposure to airborne particulate matter during commuting using portable sensors: Effects of transport modes in a French metropolis study case. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 365:121400. [PMID: 38936028 DOI: 10.1016/j.jenvman.2024.121400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/24/2024] [Accepted: 06/04/2024] [Indexed: 06/29/2024]
Abstract
Outdoor exposure to particulate matter (PM2.5 and PM10) in urban areas can vary considerably depending on the mode of transport. This study aims to quantify this difference in exposure during daily travel, by carrying out a micro-sensor measurement campaign. The pollutant exposure was assessed simultaneously over predefined routes in order to allow comparison between different transport modes having the same starting and ending points. During the six-week measurement campaign, the average reference values for PM background concentrations were 13.72 and 17.92μg/m3 for the PM2.5 and PM10, respectively. The results revealed that the mode with the highest exposure to PM2.5 adjusted to background concentration (PM2.5Norm) was the bus (1.65) followed by metro (1.51), walking (1.33), tramway (1.31), car (1.09) and finally the bike (1.06). For PM10Norm, the tramway had the highest exposure (1.86), followed by walking (1.68), metro (1.65), bus (1.61), bike (1.43) and finally the car (1.39). The level of urbanization around the route and the presence of preferential lanes for public transportation influenced the concentration to which commuters were exposed. For the active modes (bike and walking), we observed frequent variations in concentrations during the trip, characterized by punctual peaks in concentration, depending on the local characteristics of road traffic and urban morphology. Fluctuations in particulate matter inside public transport vehicles were partly explained by the opening and closing of doors during stops, as well as the passenger flows, influencing the re-suspension of particles. The car was one of the least exposed modes overall, with the lowest concentration variability, although these concentrations can vary greatly depending on the ventilation parameters used. These results encourage measures to move the most exposed users away from road traffic, by developing a network of lanes entirely dedicated to cycling and walking, particularly in densely populated areas, as well as encouraging the renewal of motorized vehicles to use less polluting fuels with efficient ventilation systems.
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Affiliation(s)
- Marie Ramel-Delobel
- Laboratoire de Mécanique des Fluides et d'Acoustique (LMFA), UMR5509, Université de Lyon, Ecole Centrale de Lyon, CNRS, Université Claude Bernard Lyon 1, INSA Lyon, 36 Avenue Guy de Collonge, 69130 Ecully, France; Département Prévention Cancer Environnement, Centre Léon Bérard, 28 Rue Laënnec, 69008 Lyon, France; INSERM UMR1296 Radiations: Défense, Santé, Environnement, Centre Léon Bérard, Ministère des Armées, Service de Santé des Armées (SSA), 69008 Lyon, France.
| | - Cosimo Peruzzi
- Laboratoire de Mécanique des Fluides et d'Acoustique (LMFA), UMR5509, Université de Lyon, Ecole Centrale de Lyon, CNRS, Université Claude Bernard Lyon 1, INSA Lyon, 36 Avenue Guy de Collonge, 69130 Ecully, France
| | - Thomas Coudon
- Département Prévention Cancer Environnement, Centre Léon Bérard, 28 Rue Laënnec, 69008 Lyon, France; INSERM UMR1296 Radiations: Défense, Santé, Environnement, Centre Léon Bérard, Ministère des Armées, Service de Santé des Armées (SSA), 69008 Lyon, France
| | - Saverio De Vito
- Italian National Agency for New Technologies (ENEA), Division for Photovoltaic and Smart Devices (TERIN-FSD), Piazzale E. Fermi 1, 80055 Portici (NA), Italy
| | - Grazia Fattoruso
- Italian National Agency for New Technologies (ENEA), Division for Photovoltaic and Smart Devices (TERIN-FSD), Piazzale E. Fermi 1, 80055 Portici (NA), Italy
| | - Delphine Praud
- Département Prévention Cancer Environnement, Centre Léon Bérard, 28 Rue Laënnec, 69008 Lyon, France; INSERM UMR1296 Radiations: Défense, Santé, Environnement, Centre Léon Bérard, Ministère des Armées, Service de Santé des Armées (SSA), 69008 Lyon, France
| | - Béatrice Fervers
- Département Prévention Cancer Environnement, Centre Léon Bérard, 28 Rue Laënnec, 69008 Lyon, France; INSERM UMR1296 Radiations: Défense, Santé, Environnement, Centre Léon Bérard, Ministère des Armées, Service de Santé des Armées (SSA), 69008 Lyon, France
| | - Pietro Salizzoni
- Laboratoire de Mécanique des Fluides et d'Acoustique (LMFA), UMR5509, Université de Lyon, Ecole Centrale de Lyon, CNRS, Université Claude Bernard Lyon 1, INSA Lyon, 36 Avenue Guy de Collonge, 69130 Ecully, France; Department of Environmental, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin (TO), Italy
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Mak J, Feary J, Amaral AFS, Marczylo E, Cullinan P, Green DC. Occupational exposure to particulate matter and staff sickness absence on the London underground. ENVIRONMENT INTERNATIONAL 2024; 185:108529. [PMID: 38484612 DOI: 10.1016/j.envint.2024.108529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/12/2024] [Accepted: 02/22/2024] [Indexed: 03/26/2024]
Abstract
The London Underground (LU) employs over 19,000 staff, some of whom are exposed to elevated concentrations of particulate matter (PM) within the network. This study quantified the occupational exposure of LU staff to subway PM and investigated the possible association with sickness absence (SA). A job exposure matrix to quantify subway PM2.5 staff exposure was developed by undertaking measurement campaigns across the LU network. The association between exposure and SA was evaluated using zero-inflated mixed-effects negative binomial models. Staff PM2.5 exposure varied by job grade and tasks undertaken. Drivers had the highest exposure over a work shift (mean: 261 µg/m3), but concentrations varied significantly by LU line and time the train spent subway. Office staff work in office buildings separate to the LU network and are unexposed to occupational subway PM2.5. They were found to have lower rates of all-cause and respiratory infection SA compared to non-office staff, those who work across the LU network and are occupational exposed to subway PM2.5. Train drivers on five out of eight lines showed higher rates of all-cause SA, but no dose-response relationship was seen. Only drivers from one line showed higher rates of SAs from respiratory infections (incidence rate ratio: 1.24, 95% confidence interval 1.10-1.39). Lower-grade customer service (CS) staff showed higher rates of all-cause and respiratory infection SA compared to higher grade CS staff. Doctor-certified chronic respiratory and cardiovascular SAs were associated with occupational PM2.5 exposure in CS staff and drivers. While some groups with higher occupational exposure to subway PM reported higher rates of SA, no evidence suggests that subway PM is the main contributing factor to SA. This is the largest subway study on health effects of occupational PM2.5 exposure and may have wider implications for subway workers, contributing to safer working environments.
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Affiliation(s)
- Justie Mak
- MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, London, United Kingdom; National Heart and Lung Institute, Imperial College, London, United Kingdom; HPRU in Environmental Exposures and Health, Imperial College London, London, United Kingdom.
| | - Johanna Feary
- National Heart and Lung Institute, Imperial College, London, United Kingdom; Department of Occupational and Environmental Medicine, Royal Brompton Hospital, London, United Kingdom
| | - André F S Amaral
- National Heart and Lung Institute, Imperial College, London, United Kingdom; NIHR Imperial Biomedical Research Centre, London, United Kingdom
| | - Emma Marczylo
- HPRU in Environmental Exposures and Health, Imperial College London, London, United Kingdom; Toxicology Department, UK Health Security Agency, Harwell Campus, Chilton, Oxfordshire, United Kingdom
| | | | - David C Green
- MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, London, United Kingdom; HPRU in Environmental Exposures and Health, Imperial College London, London, United Kingdom
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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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Azad S, Luglio DG, Gordon T, Thurston G, Ghandehari M. Particulate matter concentration and composition in the New York City subway system. ATMOSPHERIC POLLUTION RESEARCH 2023; 14:101767. [PMID: 37275568 PMCID: PMC10237451 DOI: 10.1016/j.apr.2023.101767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
This study investigated the concentration and composition of particulate matter (PM2.5) in the New York City subway system. Realtime measurements, at a one-second cadence, and gravimetric measurements were performed inside train cars along 300 kilometers of nine subway lines, as well as on 333 platforms from 287 subway stations. The mean (±SD) PM2.5 concentration on the underground platforms was 142 ± 69 μg/m3 versus 29 ± 20 μg/m3 for aboveground stations. The average Concentrations inside train cars were 88 ± 14 μg/m3 when traveling through underground tunnels and platforms and 29 ± 31 μg/m3 while on aboveground tracks. The particle composition analysis of filtered samples was done using X-ray fluorescence (XRF), revealing that iron made up approximately 43% of the total PM2.5 mass on station platforms, around 126 times higher than the outdoor ambient iron concentration. Other trace elements include silicon, sulfur, copper, nickel, aluminum, calcium, barium, and manganese. Considering the very high iron content, the comparative analysis of the measured concentration versus the standards set by the Environmental Protection Agency (US EPA) is questionable since those limits are largely based on particulate matter from fossil fuel combustion. Health impact analysis of iron-based particles will complement the study results presented here.
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Affiliation(s)
- Shams Azad
- Department of Civil and Urban Engineering, New York University, Tandon School of Engineering, Brooklyn, New York, USA
| | - David G. Luglio
- Department of Medicine, New York University Langone Health, New York, New York, USA
| | - Terry Gordon
- Department of Medicine, New York University Langone Health, New York, New York, USA
| | - George Thurston
- Department of Medicine, New York University Langone Health, New York, New York, USA
| | - Masoud Ghandehari
- Department of Civil and Urban Engineering, New York University, Tandon School of Engineering, Brooklyn, New York, USA
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Chang L, Chong WT, Yau YH, Cui T, Wang XR, Pei F, Liu YQ, Pan S. An investigation of the PM 2.5 concentrations and cumulative inhaled dose during subway commutes in Changchun, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY : IJEST 2023:1-14. [PMID: 37360559 PMCID: PMC10208554 DOI: 10.1007/s13762-023-04994-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/13/2023] [Accepted: 05/08/2023] [Indexed: 06/28/2023]
Abstract
Air quality in subway systems is crucial as it affects the health of passengers and staff. Although most tests of PM2.5 concentrations in subway stations have taken place in public areas, PM2.5 is less understood in workplaces. Few studies have estimated the cumulative inhaled dose of passengers based on real-time changes in PM2.5 concentrations as they commute. To clarify the above issues, this study first measured PM2.5 concentrations in four subway stations in Changchun, China, where measuring points included five workrooms. Then, passengers' exposure to PM2.5 during the whole subway commute (20-30 min) was measured and segmented inhalation was calculated. The results showed that PM2.5 concentration in public places ranged from 50 to 180 μg/m3, and was strongly correlated with outdoors. While the PM2.5 average concentration in workplaces was 60 µg/m3, and it was less affected by outdoor PM2.5 concentration. Passenger's cumulative inhalations in single commuting were about 42 μg and 100 μg when the outdoor PM2.5 concentrations were 20-30 μg/m3 and 120-180 μg/m3, respectively. The PM2.5 inhalation in carriages accounted for the largest proportion of the entire commuting, about 25-40%, because of the longer exposure time and higher PM2.5 concentrations. It is recommended to improve the tightness of the carriage and filter the fresh air to improve the air quality inside. The average daily PM2.5 inhaled by staff was 513.53 μg, which was 5-12 times higher than that of passengers. Installing air purification devices in workplaces and reminding staff to take personal protection can positively protect their health.
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Affiliation(s)
- L. Chang
- Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - W. T. Chong
- Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
- Centre for Energy Sciences, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Y. H. Yau
- Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
- UM-JAF Laboratory, Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - T. Cui
- Department of Building Environment and Energy Engineering, School of Civil Engineering, Chang’an University, Xi’an, 710061 China
| | - X. R. Wang
- Mechanical Engineering College, Tianjin University of Commerce, Tianjin, 300134 China
| | - F. Pei
- Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - Y. Q. Liu
- Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
| | - S. Pan
- Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124 China
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Hou Y, Yan W, Guo L, Li G, Sang N. Prenatal PM 2.5 exposure impairs spatial learning and memory in male mice offspring: from transcriptional regulation to neuronal morphogenesis. Part Fibre Toxicol 2023; 20:13. [PMID: 37081511 PMCID: PMC10116824 DOI: 10.1186/s12989-023-00520-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 03/12/2023] [Indexed: 04/22/2023] Open
Abstract
BACKGROUND As one of the environmental risk factors for human health, atmospheric fine particulate matter (PM2.5) contributes to cognitive deterioration in addition to respiratory and cardiovascular injuries. Recently, increasing evidence implicates that PM2.5 inhalation can affect neurological functions in offspring, but the sex-specific outcomes and the underlying biological processes are largely unknown. OBJECTIVES To observe the influence of prenatal PM2.5 exposure on cognitive performance in offspring, to elucidate the neuronal morphological alterations and possible transcriptional regulation based on mRNA-sequencing (mRNA-Seq) data after birth, and to determine the key components of PM2.5 contributing to the adverse effects. METHODS Pregnant C57BL/6J mice were exposed to sterile saline or PM2.5 suspension. Morris water maze test was used to assess the cognitive function in weanling offspring. Microscopic observation was applied to detect neuronal morphogenesis in vivo and in vitro. The cortex tissues from male offspring were collected on postnatal days (PNDs) 1, 7, and 21 for mRNA-Seq analysis. The organic and inorganic components of PM2.5 were separated to assess their contributions using primary cultured neurons. RESULTS Prenatal PM2.5 exposure impaired spatial learning and memory in weanling male mice, but not female mice. The sex-specific outcomes were associated with mRNA expression profiles of the cortex during postnatal critical windows, and the annotations in Gene Ontology (GO) of differentially expressed genes (DEGs) revealed that the exposure persistently disrupted the expression of genes involved in neuronal features in male offspring. Consistently, axonal growth impairment and dendritic complexity reduction were observed. Importantly, Homeobox A5 (Hoxa5), a critical transcription factor regulating all of the neuronal morphogenesis-associated hub genes on PNDs 1, 7, and 21, significantly decreased in the cortex of male offspring following PM2.5 exposure. In addition, both inorganic and organic components were harmful to axonal and dendritic growth, with organic components exhibiting stronger inhibition than inorganic ones. CONCLUSION Prenatal PM2.5 exposure affected spatial learning and memory in male mice by disrupting Hoxa5-mediated neuronal morphogenesis, and the organic components, including polycyclic aromatic hydrocarbons (PAHs), posed more adverse effects than the inorganic components.
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Affiliation(s)
- Yanwen Hou
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi, 030006, PR China
| | - Wei Yan
- Xuzhou Engineering Research Center of Medical Genetics and Transformation, Key Laboratory of Genetic Foundation and Clinical Application, Department of Genetics, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, PR China
| | - Lin Guo
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi, 030006, PR China
| | - Guangke Li
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi, 030006, PR China.
| | - Nan Sang
- College of Environment and Resource, Research Center of Environment and Health, Shanxi University, Taiyuan, Shanxi, 030006, PR China.
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Yuan Z, Wang HJ, Li Q, Su T, Yang J, Chen J, Peng Y, Zhou S, Bao H, Luo S, Wang H, Liu J, Han N, Guo Y, Ji Y. Risk of De Novo Hypertensive Disorders of Pregnancy After Exposure to PM1 and PM2.5 During the Period From Preconception to Delivery: Birth Cohort Study. JMIR Public Health Surveill 2023; 9:e41442. [PMID: 36689262 PMCID: PMC9903185 DOI: 10.2196/41442] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/20/2022] [Accepted: 11/30/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Particulate matter (PM) is detrimental to the respiratory and circulatory systems. However, no study has evaluated the lag effects of weekly exposure to fine PM during the period from preconception to delivery on the risk of hypertensive disorders of pregnancy (HDPs). OBJECTIVE We set out to investigate the lag effect windows of PM on the risk of HDPs on a weekly scale. METHODS Data from women with de novo HDPs and normotensive pregnant women who were part of the Peking University Retrospective Birth Cohort, based on the hospital information system of Tongzhou district, were obtained for this study. Meteorological data and data on exposure to fine PM were predicted by satellite remote sensing data based on maternal residential address. The de novo HDP group consisted of pregnant women who were diagnosed with gestational hypertension or preeclampsia. Fine PM was defined as PM2.5 and PM1. The gestational stage of participants was from preconception (starting 12 weeks before gestation) to delivery (before the 42nd gestational week). A distributed-lag nonlinear model (DLNM) was nested in a Cox regression model to evaluate the lag effects of weekly PM exposure on de novo HDP hazard by controlling the nonlinear relationship of exposure-reaction. Stratified analyses by employment status (employed or unemployed), education level (higher or lower), and parity (primiparity or multiparity) were performed. RESULTS A total of 22,570 pregnant women (mean age 29.1 years) for whom data were available between 2013 and 2017 were included in this study. The prevalence of de novo HDPs was 6.7% (1520/22,570). Our findings showed that PM1 and PM2.5 were significantly associated with an elevated hazard of HDPs. Exposure to PM1 during the 5th week before gestation to the 6th gestational week increased the hazard of HDPs. A significant lag effect of PM2.5 was observed from the 1st week before gestation to the 6th gestational week. The strongest lag effects of PM1 and PM2.5 on de novo HDPs were observed at week 2 and week 6 (hazard ratio [HR] 1.024, 95% CI 1.007-1.042; HR 1.007, 95% CI 1.000-1.015, respectively, per 10 μg/m3 increase). The stratified analyses indicated that pregnant women who were employed, had low education, and were primiparous were more vulnerable to PM exposure for de novo HDPs. CONCLUSIONS Exposure to PM1 and PM2.5 was associated with the risk of de novo HDPs. There were significant lag windows between the preconception period and the first trimester. Women who were employed, had low education, and were primiparous were more vulnerable to the effects of PM exposure; more attention should be paid to these groups for early prevention of de novo HDPs.
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Affiliation(s)
- Zhichao Yuan
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Hai-Jun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Qin Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Tao Su
- Tongzhou Maternal and Child Health Care Hospital of Beijing, Beijing, China
| | - Jie Yang
- Tongzhou Maternal and Child Health Care Hospital of Beijing, Beijing, China
| | - Junjun Chen
- Department of Electrical and Computer Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States
| | - Yuanzhou Peng
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Shuang Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Heling Bao
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Shusheng Luo
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Hui Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Na Han
- Tongzhou Maternal and Child Health Care Hospital of Beijing, Beijing, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yuelong Ji
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
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Xu W, Wang S, Jiang L, Sun X, Wang N, Liu X, Yao X, Qiu T, Zhang C, Li J, Deng H, Yang G. The influence of PM 2.5 exposure on kidney diseases. Hum Exp Toxicol 2022; 41:9603271211069982. [PMID: 35174736 DOI: 10.1177/09603271211069982] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The harm of air pollution to public health has become a research hotspot, especially atmospheric fine-particulate matter (PM2.5). In recent years, epidemiological investigations have confirmed that PM2.5 is closely related to chronic kidney disease and membranous nephropathy Basic research has demonstrated that PM2.5 has an impact on the normal function of the kidneys through accumulation in the kidney, endothelial dysfunction, abnormal renin-angiotensin system, and immune complex deposition. Moreover, the mechanism of PM2.5 damage to the kidney involves inflammation, oxidative stress, apoptosis, DNA damage, and autophagy. In this review, we summarized the latest developments in the effects of PM2.5 on kidney disease in human and animal studies, so as to provide new ideas for the prevention and treatment of kidney disease.
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Affiliation(s)
- Wenqi Xu
- Department of Food Nutrition and Safety, 36674Dalian Medical University, Dalian, China
| | - Shaopeng Wang
- Department of Cardiology, 74710First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Liping Jiang
- Liaoning Anti-degenerative Diseases Natural Products Engineering Technology Research Center, 36674Dalian Medical University, Dalian, China
| | - Xiance Sun
- Liaoning Anti-degenerative Diseases Natural Products Engineering Technology Research Center, 36674Dalian Medical University, Dalian, China
| | - Ningning Wang
- Department of Food Nutrition and Safety, 36674Dalian Medical University, Dalian, China
| | - Xiaofang Liu
- Department of Food Nutrition and Safety, 36674Dalian Medical University, Dalian, China
| | - Xiaofeng Yao
- Liaoning Anti-degenerative Diseases Natural Products Engineering Technology Research Center, 36674Dalian Medical University, Dalian, China
| | - Tianming Qiu
- Liaoning Anti-degenerative Diseases Natural Products Engineering Technology Research Center, 36674Dalian Medical University, Dalian, China
| | - Cong Zhang
- Department of Food Nutrition and Safety, 36674Dalian Medical University, Dalian, China
| | - Jing Li
- Department of Pathology, 36674Dalian Medical University, Dalian, China
| | - Haoyuan Deng
- Department of Food Nutrition and Safety, 36674Dalian Medical University, Dalian, China
| | - Guang Yang
- Department of Food Nutrition and Safety, 36674Dalian Medical University, Dalian, China
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Zhou X, Dai H, Jiang H, Rui H, Liu W, Dong Z, Zhang N, Zhao Q, Feng Z, Hu Y, Hou F, Zheng Y, Liu B. MicroRNAs: Potential mediators between particulate matter 2.5 and Th17/Treg immune disorder in primary membranous nephropathy. Front Pharmacol 2022; 13:968256. [PMID: 36210816 PMCID: PMC9532747 DOI: 10.3389/fphar.2022.968256] [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: 06/13/2022] [Accepted: 08/29/2022] [Indexed: 11/19/2022] Open
Abstract
Primary membranous nephropathy (PMN), is an autoimmune glomerular disease and the main reason of nephrotic syndrome in adults. Studies have confirmed that the incidence of PMN increases yearly and is related to fine air pollutants particulate matter 2.5 (PM2.5) exposure. These imply that PM2.5 may be associated with exposure to PMN-specific autoantigens, such as the M-type receptor for secretory phospholipase A2 (PLA2R1). Emerging evidence indicates that Th17/Treg turns to imbalance under PM2.5 exposure, but the molecular mechanism of this process in PMN has not been elucidated. As an important indicator of immune activity in multiple diseases, Th17/Treg immune balance is sensitive to antigens and cellular microenvironment changes. These immune pathways play an essential role in the disease progression of PMN. Also, microRNAs (miRNAs) are susceptible to external environmental stimulation and play link role between the environment and immunity. The contribution of PM2.5 to PMN may induce Th17/Treg imbalance through miRNAs and then produce epigenetic affection. We summarize the pathways by which PM2.5 interferes with Th17/Treg immune balance and attempt to explore the intermediary roles of miRNAs, with a particular focus on the changes in PMN. Meanwhile, the mechanism of PM2.5 promoting PLA2R1 exposure is discussed. This review aims to clarify the potential mechanism of PM2.5 on the pathogenesis and progression of PMN and provide new insights for the prevention and treatment of the disease.
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Affiliation(s)
- Xiaoshan Zhou
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Haoran Dai
- Shunyi Branch, Beijing Hospital of Traditional Chinese Medicine, Beijing, China
| | - Hanxue Jiang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Hongliang Rui
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,Beijing Institute of Chinese Medicine, Beijing, China
| | - Wenbin Liu
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Zhaocheng Dong
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Na Zhang
- School of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Qihan Zhao
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,School of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Zhendong Feng
- Pinggu Hospital, Beijing Hospital of Traditional Chinese Medicine, Beijing, China
| | - Yuehong Hu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,School of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Fanyu Hou
- School of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China
| | - Yang Zheng
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Baoli Liu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.,Shunyi Branch, Beijing Hospital of Traditional Chinese Medicine, Beijing, China
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