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Israel LL, Braubach O, Shatalova ES, Chepurna O, Sharma S, Klymyshyn D, Galstyan A, Chiechi A, Cox A, Herman D, Bliss B, Hasen I, Ting A, Arechavala R, Kleinman MT, Patil R, Holler E, Ljubimova JY, Koronyo-Hamaoui M, Sun T, Black KL. Exposure to environmental airborne particulate matter caused wide-ranged transcriptional changes and accelerated Alzheimer's-related pathology: A mouse study. Neurobiol Dis 2023; 187:106307. [PMID: 37739136 DOI: 10.1016/j.nbd.2023.106307] [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: 04/20/2023] [Revised: 09/04/2023] [Accepted: 09/19/2023] [Indexed: 09/24/2023] Open
Abstract
Air pollution poses a significant threat to human health, though a clear understanding of its mechanism remains elusive. In this study, we sought to better understand the effects of various sized particulate matter from polluted air on Alzheimer's disease (AD) development using an AD mouse model. We exposed transgenic Alzheimer's mice in their prodromic stage to different sized particulate matter (PM), with filtered clean air as control. After 3 or 6 months of exposure, mouse brains were harvested and analyzed. RNA-seq analysis showed that various PM have differential effects on the brain transcriptome, and these effects seemed to correlate with PM size. Many genes and pathways were affected after PM exposure. Among them, we found a strong activation in mRNA Nonsense Mediated Decay pathway, an inhibition in pathways related to transcription, neurogenesis and survival signaling as well as angiogenesis, and a dramatic downregulation of collagens. Although we did not detect any extracellular Aβ plaques, immunostaining revealed that both intracellular Aβ1-42 and phospho-Tau levels were increased in various PM exposure conditions compared to the clean air control. NanoString GeoMx analysis demonstrated a remarkable activation of immune responses in the PM exposed mouse brain. Surprisingly, our data also indicated a strong activation of various tumor suppressors including RB1, CDKN1A/p21 and CDKN2A/p16. Collectively, our data demonstrated that exposure to airborne PM caused a profound transcriptional dysregulation and accelerated Alzheimer's-related pathology.
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Affiliation(s)
- Liron L Israel
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America
| | - Oliver Braubach
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America
| | - Ekaterina S Shatalova
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America
| | - Oksana Chepurna
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America
| | - Sachin Sharma
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America
| | - Dmytro Klymyshyn
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America
| | - Anna Galstyan
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America
| | - Antonella Chiechi
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America
| | - Alysia Cox
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America
| | - David Herman
- Department of Environmental and Occupational Health, University of California, Irvine 92697, United States of America
| | - Bishop Bliss
- Department of Environmental and Occupational Health, University of California, Irvine 92697, United States of America
| | - Irene Hasen
- Department of Environmental and Occupational Health, University of California, Irvine 92697, United States of America
| | - Amanda Ting
- Department of Environmental and Occupational Health, University of California, Irvine 92697, United States of America
| | - Rebecca Arechavala
- Department of Environmental and Occupational Health, University of California, Irvine 92697, United States of America
| | - Michael T Kleinman
- Department of Environmental and Occupational Health, University of California, Irvine 92697, United States of America
| | - Rameshwar Patil
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America
| | - Eggehard Holler
- Terasaki Institute, Los Angeles, CA 90024, United States of America
| | | | - Maya Koronyo-Hamaoui
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America; Department of Biomedical Sciences, Division of Applied Cell Biology and Physiology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America
| | - Tao Sun
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America.
| | - Keith L Black
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States of America.
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Zeng F, Tang LL, Yu H, Xu FP, Wang L. Hydrogen-bonding-driven self-assembly nonporous adaptive crystals for the separation of benzene from BTX and Cyclohexane. CHINESE CHEM LETT 2023. [DOI: 10.1016/j.cclet.2023.108304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
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Zundel CG, Ryan P, Brokamp C, Heeter A, Huang Y, Strawn JR, Marusak HA. Air pollution, depressive and anxiety disorders, and brain effects: A systematic review. Neurotoxicology 2022; 93:272-300. [PMID: 36280190 PMCID: PMC10015654 DOI: 10.1016/j.neuro.2022.10.011] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 10/12/2022] [Accepted: 10/19/2022] [Indexed: 11/05/2022]
Abstract
Accumulating data suggest that air pollution increases the risk of internalizing psychopathology, including anxiety and depressive disorders. Moreover, the link between air pollution and poor mental health may relate to neurostructural and neurofunctional changes. We systematically reviewed the MEDLINE database in September 2021 for original articles reporting effects of air pollution on 1) internalizing symptoms and behaviors (anxiety or depression) and 2) frontolimbic brain regions (i.e., hippocampus, amygdala, prefrontal cortex). One hundred and eleven articles on mental health (76% human, 24% animals) and 92 on brain structure and function (11% human, 86% animals) were identified. For literature search 1, the most common pollutants examined were PM2.5 (64.9%), NO2 (37.8%), and PM10 (33.3%). For literature search 2, the most common pollutants examined were PM2.5 (32.6%), O3 (26.1%) and Diesel Exhaust Particles (DEP) (26.1%). The majority of studies (73%) reported higher internalizing symptoms and behaviors with higher air pollution exposure. Air pollution was consistently associated (95% of articles reported significant findings) with neurostructural and neurofunctional effects (e.g., increased inflammation and oxidative stress, changes to neurotransmitters and neuromodulators and their metabolites) within multiple brain regions (24% of articles), or within the hippocampus (66%), PFC (7%), and amygdala (1%). For both literature searches, the most studied exposure time frames were adulthood (48% and 59% for literature searches 1 and 2, respectively) and the prenatal period (26% and 27% for literature searches 1 and 2, respectively). Forty-three percent and 29% of studies assessed more than one exposure window in literature search 1 and 2, respectively. The extant literature suggests that air pollution is associated with increased depressive and anxiety symptoms and behaviors, and alterations in brain regions implicated in risk of psychopathology. However, there are several gaps in the literature, including: limited studies examining the neural consequences of air pollution in humans. Further, a comprehensive developmental approach is needed to examine windows of susceptibility to exposure and track the emergence of psychopathology following air pollution exposure.
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Affiliation(s)
- Clara G Zundel
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
| | - Patrick Ryan
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
| | - Cole Brokamp
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
| | - Autumm Heeter
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
| | - Yaoxian Huang
- Department of Civil and Environmental Engineering, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI, USA.
| | - Jeffrey R Strawn
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Anxiety Disorders Research Program, Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA.
| | - Hilary A Marusak
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA; Merrill Palmer Skillman Institute for Child and Family Development, Wayne State University, Detroit, MI, USA; Translational Neuroscience Program, Wayne State University, Detroit, MI, USA.
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Zhang J, Ren D, Wang S, Zhu S, Qu K, Yuan Y. Effects of air pollution on cardiovascular health in patients with type 2 diabetes mellitus: Evidence from a large tertiary hospital in Shandong Province, China. Front Public Health 2022; 10:1050676. [PMID: 36438234 PMCID: PMC9682228 DOI: 10.3389/fpubh.2022.1050676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 10/24/2022] [Indexed: 11/11/2022] Open
Abstract
Air pollution has posed serious threats to human health. Based on the microdata of a large tertiary hospital in Shandong Province from 2016 to 2021, combined with the macro data such as air quality monitoring data, meteorological data, and city-level regional socio-economic data, this paper empirically tests the impact of air pollution instrumented by thermal inversions on the cardiovascular health of patients with type 2 diabetes mellitus (T2DM) and its group differences. The results show that: (1) Air pollution has a negative impact on the cardiovascular health of patients with T2DM, that is, the cardiovascular health of patients with T2DM will decline in regions with high air pollution; (2) The impact of air pollution on cardiovascular health in T2DM patients is heterogeneous, with males and older patients bearing greater air pollution health losses; (3) From the perspective of the external environment, the negative effects of environmental pollution on patients' health were significantly reduced in areas with higher environmental regulation intensity and better public health conditions, indicating the necessity of strengthening environmental governance and increasing public health expenditure.
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Affiliation(s)
- Jitian Zhang
- Clinical Nutrition Department, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Dong Ren
- Scientific Research Management Department, Shandong Academy of Macroeconomic Research, Jinan, China
| | - Shuo Wang
- The Center for Economic Research, Shandong University, Jinan, China
| | - Sha Zhu
- Medical Administration Department, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Kai Qu
- Shandong Provincial Eco-environment Monitoring Center, Jinan, China
| | - Yuan Yuan
- Clinical Nutrition Department, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China,*Correspondence: Yuan Yuan
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Microbiota aggravates the pathogenesis of Drosophila acutely exposed to vehicle exhaust. Heliyon 2022; 8:e10382. [PMID: 36060467 PMCID: PMC9437797 DOI: 10.1016/j.heliyon.2022.e10382] [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: 12/30/2021] [Revised: 03/20/2022] [Accepted: 08/15/2022] [Indexed: 11/26/2022] Open
Abstract
Vehicle exhaust (VE) is the primary cause of urban air pollution, which adversely affects the respiratory system, exacerbates lung diseases, and results in high mortality rates. However, the underlying mechanism of the pathogenesis is largely unclear. Here, we developed a Drosophila model to systematically investigate the effects of VE on their health and physiology. We found that VE significantly impaired life span and locomotion in Drosophila. Interestingly, there was an increase in bacterial load in the guts upon VE exposure, suggesting VE is able to induce dysbiosis in the guts. Microbiota depletion can ameliorate the impairment of life span and locomotion. VE causes permeability of intestinal epithelial cells and increases proliferation of intestinal cells, suggesting VE disrupts intestinal homeostasis. We elucidate the underlying mechanism by which VE triggers Imd and DUOX gene expression. Taken together, this Drosophila model provides insight into the pathogenesis of Drosophila exposure to VE, enabling us to better understand the specific role of microbiota.
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Gignac F, Righi V, Toran R, Paz Errandonea L, Ortiz R, Mijling B, Naranjo A, Nieuwenhuijsen M, Creus J, Basagaña X. Short-term NO 2 exposure and cognitive and mental health: A panel study based on a citizen science project in Barcelona, Spain. ENVIRONMENT INTERNATIONAL 2022; 164:107284. [PMID: 35576732 DOI: 10.1016/j.envint.2022.107284] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/28/2022] [Accepted: 05/04/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND The association between short-term exposure to air pollution and cognitive and mental health has not been thoroughly investigated so far. OBJECTIVES We conducted a panel study co-designed with citizens to assess whether air pollution can affect attention, perceived stress, mood and sleep quality. METHODS From September 2020 to March 2021, we followed 288 adults (mean age = 37.9 years; standard deviation = 12.1 years) for 14 days in Barcelona, Spain. Two tasks were self-administered daily through a mobile application: the Stroop color-word test to assess attention performance and a set of 0-to-10 rating scale questions to evaluate perceived stress, well-being, energy and sleep quality. From the Stroop test, three outcomes related to selective attention were calculated and z-score-transformed: response time, cognitive throughput and inhibitory control. Air pollution was assessed using the mean nitrogen dioxide (NO2) concentrations (mean of all Barcelona monitoring stations or using location data) 12 and 24 h before the tasks were completed. We applied linear regression with random effects by participant to estimate intra-individual associations, controlling for day of the week and time-varying factors such as alcohol consumption and physical activity. RESULTS Based on 2,457 repeated attention test performances, an increase of 30 μg/m3 exposure to NO2 12 h was associated with lower cognitive throughput (beta = -0.08, 95% CI: -0.15, -0.01) and higher response time (beta = 0.07, 95% CI: 0.01, 0.14) (increase inattentiveness). Moreover, an increase of 30 μg/m3 exposure to NO2 12 h was associated with higher self-perceived stress (beta = 0.44, 95% CI: 0.13, 0.77). We did not find statistically significant associations with inhibitory control and subjective well-being. CONCLUSIONS Our findings suggest that short-term exposure to air pollution could have adverse effects on attention performance and perceived stress in adults.
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Affiliation(s)
- Florence Gignac
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Raül Toran
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Rodney Ortiz
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Bas Mijling
- Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
| | | | - Mark Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Xavier Basagaña
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
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Qiu H, Wang L, Luo L, Shen M. Gaseous air pollutants and hospitalizations for mental disorders in 17 Chinese cities: Association, morbidity burden and economic costs. ENVIRONMENTAL RESEARCH 2022; 204:111928. [PMID: 34437848 DOI: 10.1016/j.envres.2021.111928] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 08/06/2021] [Accepted: 08/19/2021] [Indexed: 06/13/2023]
Abstract
The short-term morbidity effects of gaseous air pollutants on mental disorders (MDs), and the corresponding morbidity and economic burdens have not been well studied. We aimed to explore the associations of ambient sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3) and carbon monoxide (CO) with MDs hospitalizations in 17 Chinese cities during 2015-2018, and estimate the attributable risk and economic costs of MDs hospitalizations associated with gaseous pollutants. City-specific relationships between gaseous pollutants and MDs hospitalizations were evaluated using over-dispersed generalized additive models, then combined to obtain the pooled effect. Concentration-response (C-R) curves of gaseous pollutants with MDs from each city were pooled to allow regional estimates to be derived. The morbidity and economic burdens of MDs hospitalizations attributable to gaseous pollutants were further assessed. A total of 171,939 MDs hospitalizations were included. We observed insignificant association of O3 with MDs. An interquartile range increase in SO2 at lag0 (9.1 μg/m³), NO2 at lag0 (16.7 μg/m³) and CO at lag2 (0.4 mg/m³) corresponded to a 3.02% (95%CI: 0.72%, 5.38%), 5.03% (95%CI: 1.84%, 8.32%) and 2.18% (95%CI: 0.40%, 4.00%) increase in daily MDs hospitalizations, respectively. These effects were modified by sex, season and cause-specific MDs. The C-R curves of SO2 and NO2 with MDs indicated nonlinearity and the slops were steeper at lower concentrations. Overall, using current standards as reference concentrations, 0.27% (95%CI: 0.07%, 0.48%) and 0.06% (95%CI: 0.02%, 0.10%) of MDs hospitalizations could be attributable to extra SO2 and NO2 exposures, and the corresponding economic costs accounted for 0.34% (95%CI: 0.08%, 0.60%) and 0.07% (95%CI: 0.03%, 0.11%) of hospitalization expenses, respectively. Moreover, using threshold values detected from C-R curves as reference concentrations, the above mentioned morbidity and economic burdens increased a lot. These findings suggest more strict emission control regulations are needed to protect mental health from gaseous pollutants.
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Affiliation(s)
- Hang Qiu
- School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China.
| | - Liya Wang
- Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China
| | - Li Luo
- Business School, Sichuan University, Chengdu, China
| | - Minghui Shen
- Health Information Center of Sichuan Province, Chengdu, China
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Ma Y, Wang W, Li Z, Si Y, Wang J, Chen L, Wei C, Lin H, Deng F, Guo X, Ni X, Wu S. Short-term exposure to ambient air pollution and risk of daily hospital admissions for anxiety in China: A multicity study. JOURNAL OF HAZARDOUS MATERIALS 2022; 424:127535. [PMID: 34879525 DOI: 10.1016/j.jhazmat.2021.127535] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 10/04/2021] [Accepted: 10/14/2021] [Indexed: 06/13/2023]
Abstract
The potential impact of short-term exposure to ambient air pollution on risk of anxiety remains uncertain. We performed a detailed evaluation based on data from national insurance databases in China. Daily hospital admissions for anxiety disorders were identified in 2013-2017 from the national insurance databases covering up to 261 million urban residents in 56 cities in China. A two-stage time-series study was conducted to evaluate the associations between short-term exposure to major ambient air pollutants, including fine particles, inhalable particles, nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone, and carbon monoxide, and risk of daily hospital admissions for anxiety. Significant associations between short-term exposures to ambient NO2 and SO2 and risk of daily hospital admissions for anxiety were found in the overall analysis. Per 10 μg/m3 increases in NO2 at lag0 and SO2 at lag6 were associated with significant increases of 1.37% (95% CI: 0.14%, 2.62%) and 1.53% (95% CI: 0.59%, 2.48%) in anxiety admissions, respectively. Stronger associations were found in the southern region and patients <65 years for SO2. Short-term exposure to ambient air pollution is associated with increased risk of anxiety admissions, which may provide important implications for promotion of mental health in the public.
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Affiliation(s)
- Yating Ma
- Institute of Social Psychology, School of Humanities and Social Sciences, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Wanzhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Zichuan Li
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Yaqin Si
- Beijing HealthCom Data Technology Co. Ltd, Beijing, China
| | - Jinxi Wang
- Shanghai Songsheng Business Consulting Co. Ltd, Shanghai, China
| | - Libo Chen
- Beijing HealthCom Data Technology Co. Ltd, Beijing, China
| | - Chen Wei
- Beijing HealthCom Data Technology Co. Ltd, Beijing, China
| | - Hualiang Lin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xiaoli Ni
- Institute of Social Psychology, School of Humanities and Social Sciences, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
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Wang C, Feng L, Qi Y. Explainable deep learning predictions for illness risk of mental disorders in Nanjing, China. ENVIRONMENTAL RESEARCH 2021; 202:111740. [PMID: 34329635 DOI: 10.1016/j.envres.2021.111740] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Revised: 07/16/2021] [Accepted: 07/19/2021] [Indexed: 06/13/2023]
Abstract
Epidemiological studies have revealed the associations of air pollutants and meteorological factors with a range of mental health conditions. However, little is known about local explanations and global understanding on the importance and effect of input features in the complex system of environmental stressors - mental disorders (MDs), especially for exposure to air pollution mixture. In this study, we combined deep learning neural networks (DLNNs) with SHapley Additive exPlanation (SHAP) to predict the illness risk of MDs on the population level, and then provided explanations for risk factors. The modeling system, which was trained on day-by-day hospital outpatient visits of two major hospitals in Nanjing, China from 2013/07/01 through 2019/02/28, visualized the time-varying prediction, contributing factors, and interaction effects of informative features. Our results suggested that NO2, SO2, and CO made outstanding contributions in magnitude of feature attributions under circumstances of mixed air pollutants. In particular, NO2 at high concentration level was associated with an increase in illness risk of MDs, and the maximum and mean absolute SHAP value were approximated to 10 and 2 as a local and global measure of feature importance, respectively. It presented a marginally antagonistic effect for two pairs of gaseous pollutants, i.e., NO2 vs. SO2 and CO vs. NO2. In contrast, CO and SO2 displayed the opposite direction of feature effects to the rise of observed concentrations, but an apparent synergistic effect was obviously captured. The primary risk factors driving a sharp increase in acute attack or exacerbation of MDs were also identified by depicting prediction paths of time-series samples. We believe that the significance of coupling accurate predictions from DLNNs with interpretable explanations of why a prediction is completed has broad applicability throughout the field of environmental health.
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Affiliation(s)
- Ce Wang
- School of Energy and Environment, Southeast University, Nanjing, 210096, PR China; State Key Laboratory of Environmental Medicine Engineering, Ministry of Education, Southeast University, Nanjing, 210096, PR China.
| | - Lan Feng
- National-Provincial Joint Engineering Research Center of Electromechanical Product Packaging, College of Civil Engineering, Nanjing Forestry University, Nanjing, 210037, PR China.
| | - Yi Qi
- School of Architecture and Urban Planning, Nanjing University, No. 22 Hankoulu Road, Nanjing, 210093, PR China.
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Kochi C, Salvi A, Atrooz F, Salim S. Simulated vehicle exhaust exposure induces sex-dependent behavioral deficits in rats. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2021; 86:103660. [PMID: 33865999 DOI: 10.1016/j.etap.2021.103660] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 04/05/2021] [Accepted: 04/12/2021] [Indexed: 06/12/2023]
Abstract
Chronic exposure to vehicle exhaust emissions are known to cause several adverse health effects. In this study, we examined the impact of several parameters of behavioral, cardiovascular and biochemical functions upon exposure of pro-oxidants CO2, NO2 and CO (simulated vehicle exhaust exposure: SVEE) in male and female rats. Adult rats were subjected to SVEE or ambient air in whole body chambers (5 h/day, 2 weeks). Male, but not female, rats developed memory deficits, and exhibited anxiety- and depression-like behavior, accompanied with significantly high levels of serum corticosterone, oxidative stress, and inflammatory markers (CRP and TNFα), associated with lower levels of total antioxidant capacity, glutathione, glyoxalase and superoxide dismutase (SOD) activities. Brain region-specific downregulation of Cu/Zn SOD, Mn SOD, GSR, PKCα, ERK1/2, CaMKIV, CREB, BDNF and NMDAR subunit protein expression were also observed in male, but not female, rats. Blood pressure, heart rate and eGFR were not negatively impacted by SVEE. Our results suggest that SVEE, through its pro-oxidant content, induces oxido-inflammation in susceptible brain regions in a sex-dependent manner.
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Affiliation(s)
- Camila Kochi
- Department of Pharmacological & Pharmaceutical Sciences, University of Houston, Houston, TX, United States
| | - Ankita Salvi
- Translational Medicine Department, QPS, LLC, Newark, DE, United States
| | - Fatin Atrooz
- Department of Pharmacological & Pharmaceutical Sciences, University of Houston, Houston, TX, United States
| | - Samina Salim
- Department of Pharmacological & Pharmaceutical Sciences, University of Houston, Houston, TX, United States.
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Masuku M, Ouma L, Pholosi A. Microwave assisted synthesis of oleic acid modified magnetite nanoparticles for benzene adsorption. ACTA ACUST UNITED AC 2021. [DOI: 10.1016/j.enmm.2021.100429] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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12
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Thilakaratne RA, Malig BJ, Basu R. Examining the relationship between ambient carbon monoxide, nitrogen dioxide, and mental health-related emergency department visits in California, USA. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 746:140915. [PMID: 32745847 DOI: 10.1016/j.scitotenv.2020.140915] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 07/07/2020] [Accepted: 07/10/2020] [Indexed: 06/11/2023]
Abstract
Growing evidence suggests air pollutants may harm the central nervous system, potentially impacting mental health. However, such impacts of air pollutants on mental health and the sub-populations most affected remain poorly understood, especially in California. We examined the relationship between short-term ambient carbon monoxide (CO), nitrogen dioxide (NO2), and mental health-related emergency department (ED) visits in California from 2005 to 2013. Daily mean concentrations of the pollutants were acquired from the U.S. Environmental Protection Agency Air Quality System Data Mart ground monitoring data. Moving averages of pollutant concentrations were linked to counts of ED visits obtained from the California Office of Statewide Health Planning and Development. Seven mental health outcomes, defined by International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes, were studied: all mental disorders, bipolar disorder, depression, schizophrenia, substance abuse, homicide/inflicted injury, and suicide/self-harm. Monitor-level associations were estimated with quasi-Poisson regression models and combined using random-effects meta-analysis. CO and NO2 were found to be positively associated with ED visits due to homicide/inflicted injury, with the warm season (May-October) driving the CO association. An interquartile range (IQR) (0.28 ppm) increase in two-day average CO during the warm season was associated with a 3.13% (95% confidence interval (CI): 1.43, 4.84) elevation in risk of an ED visit due to homicide/inflicted injury (n = 122,749 ED visits). An IQR (10.79 ppb) increase in two-day average NO2 was associated with a 2.60% (95% CI: 1.17, 4.05) elevation in risk of an ED visit due to homicide/inflicted injury (n = 206,919 ED visits). Subgroup analyses indicated children, Hispanics, and males were particularly vulnerable. Except for an inverse relationship between NO2 and substance abuse, neither pollutant was robustly associated with visits due to other mental health morbidities. Our results suggest short-term elevations in CO and NO2 may promote violent behavior. Further investigation in other populations and ranges of air pollution exposure is warranted.
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Affiliation(s)
- Ruwan A Thilakaratne
- Air and Climate Epidemiology Section, California Office of Environmental Health Hazard Assessment, 1515 Clay Street, 16th Floor, Oakland, CA 94612, USA
| | - Brian J Malig
- Air and Climate Epidemiology Section, California Office of Environmental Health Hazard Assessment, 1515 Clay Street, 16th Floor, Oakland, CA 94612, USA
| | - Rupa Basu
- Air and Climate Epidemiology Section, California Office of Environmental Health Hazard Assessment, 1515 Clay Street, 16th Floor, Oakland, CA 94612, USA.
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Gu X, Guo T, Si Y, Wang J, Zhang W, Deng F, Chen L, Wei C, Lin S, Guo X, Wu S. Association Between Ambient Air Pollution and Daily Hospital Admissions for Depression in 75 Chinese Cities. Am J Psychiatry 2020; 177:735-743. [PMID: 32312109 DOI: 10.1176/appi.ajp.2020.19070748] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Although the association between ambient air pollution and risk of depression has been investigated in several epidemiological studies, the evidence is still lacking for hospital admissions for depression, which indicates a more severe form of depressive episode. The authors used national morbidity data to investigate the association between short-term exposure to ambient air pollution and daily hospital admissions for depression. METHODS Using data from the Chinese national medical insurance databases for urban populations, the authors conducted a two-stage time-series analysis to investigate the associations of short-term exposure to major ambient air pollutants-fine particles (PM2.5), inhalable particles (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and carbon monoxide (CO)-and daily hospital admission risk for depression in 75 Chinese cities during the period 2013-2017. RESULTS The authors identified 111,620 hospital admissions for depression in 75 cities. In the single-pollutant models, the effect estimates of all included air pollutants, with the exception of O3, were significant at several lags within 7 days. For example, 10 μg/m3 increases in PM2.5, PM10, and NO2 at lag01 were associated with increases of 0.52% (95% CI=0.03, 1.01), 0.41% (95% CI=0.05, 0.78), and 1.78% (95% CI=0.73, 2.83), respectively, in daily hospital admissions for depression. Subgroup, sensitivity, and two-pollutant model analyses highlighted the robustness of the effect estimates for NO2. CONCLUSIONS The study results suggest that short-term exposure to ambient air pollution is associated with an increased risk of daily hospital admission for depression in the general urban population in China, which may have important implications for improving mental wellness among the public.
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Affiliation(s)
- Xuelin Gu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Tongjun Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Yaqin Si
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Jinxi Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Wangjian Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Libo Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Chen Wei
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Shao Lin
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
| | - Shaowei Wu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing (Gu, T. Guo, Deng, X. Guo, Wu); Beijing HealthCom Data Technology Co., Beijing (Si, Wang, Chen, Wei); Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing (Si); Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer (Zhang, Lin); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing (Wu)
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Hahad O, Lelieveld J, Birklein F, Lieb K, Daiber A, Münzel T. Ambient Air Pollution Increases the Risk of Cerebrovascular and Neuropsychiatric Disorders through Induction of Inflammation and Oxidative Stress. Int J Mol Sci 2020; 21:ijms21124306. [PMID: 32560306 PMCID: PMC7352229 DOI: 10.3390/ijms21124306] [Citation(s) in RCA: 166] [Impact Index Per Article: 41.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 06/09/2020] [Accepted: 06/10/2020] [Indexed: 02/07/2023] Open
Abstract
Exposure to ambient air pollution is a well-established determinant of health and disease. The Lancet Commission on pollution and health concludes that air pollution is the leading environmental cause of global disease and premature death. Indeed, there is a growing body of evidence that links air pollution not only to adverse cardiorespiratory effects but also to increased risk of cerebrovascular and neuropsychiatric disorders. Despite being a relatively new area of investigation, overall, there is mounting recent evidence showing that exposure to multiple air pollutants, in particular to fine particles, may affect the central nervous system (CNS) and brain health, thereby contributing to increased risk of stroke, dementia, Parkinson's disease, cognitive dysfunction, neurodevelopmental disorders, depression and other related conditions. The underlying molecular mechanisms of susceptibility and disease remain largely elusive. However, emerging evidence suggests inflammation and oxidative stress to be crucial factors in the pathogenesis of air pollution-induced disorders, driven by the enhanced production of proinflammatory mediators and reactive oxygen species in response to exposure to various air pollutants. From a public health perspective, mitigation measures are urgent to reduce the burden of disease and premature mortality from ambient air pollution.
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Affiliation(s)
- Omar Hahad
- Center for Cardiology–Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, 55131 Mainz, Germany;
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany
| | - Jos Lelieveld
- Atmospheric Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany;
- Climate and Atmosphere Research Center, The Cyprus Institute, Nicosia 1645, Cyprus
| | - Frank Birklein
- Department of Neurology, University Medical Center of the Johannes Gutenberg-University Mainz, 55131 Mainz, Germany;
| | - Klaus Lieb
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, 55131 Mainz, Germany;
- Leibniz Institute for Resilience Research, 55122 Mainz, Germany
| | - Andreas Daiber
- Center for Cardiology–Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, 55131 Mainz, Germany;
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany
- Correspondence: (A.D.); (T.M.); Tel.: +49-(0)6131-176280 (A.D.); +49-(0)6131-177251 (T.M.)
| | - Thomas Münzel
- Center for Cardiology–Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, 55131 Mainz, Germany;
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany
- Correspondence: (A.D.); (T.M.); Tel.: +49-(0)6131-176280 (A.D.); +49-(0)6131-177251 (T.M.)
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Kochi C, Pokkunuri I, Salvi A, Asghar M, Salim S. Simulated vehicle exhaust exposure (SVEE) in rats impairs renal mitochondrial function. Clin Exp Hypertens 2020; 42:571-579. [DOI: 10.1080/10641963.2020.1766059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Camila Kochi
- Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, USA
| | - Indira Pokkunuri
- Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, USA
- Heart and Kidney Institute, University of Houston, Houston, TX, USA
| | - Ankita Salvi
- The Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Mohammad Asghar
- Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, USA
- Heart and Kidney Institute, University of Houston, Houston, TX, USA
| | - Samina Salim
- Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, USA
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Salvi A, Liu H, Salim S. Involvement of oxidative stress and mitochondrial mechanisms in air pollution-related neurobiological impairments. Neurobiol Stress 2019; 12:100205. [PMID: 32258254 PMCID: PMC7109516 DOI: 10.1016/j.ynstr.2019.100205] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 12/13/2019] [Indexed: 12/16/2022] Open
Abstract
Background Vehicle exhaust emissions are known to be significant contributors to physical and psychological stress. Vehicle exhaust-induced stress and associated respiratory and cardiovascular complications are well-known, but the impact of this stress on the brain is unclear. Simulated vehicle exhaust exposure (SVEE) in rats causes behavioral and cognitive deficits. In the present study, the underlying mechanisms were examined. Our postulation is that SVEE, a simulation of physiologically relevant concentrations of pro-oxidants (0.04% carbon dioxide, 0.9 ppm nitrogen dioxide, 3 ppm carbon monoxide) creates a toxic stress environment in the brain that results in an imbalance between production of reactive oxygen species and the counteracting antioxidant mechanisms. This impairs mitochondrial function in the high bioenergetic demand areas of the brain including the hippocampus (HIP), amygdala (AMY) and the prefrontal cortex (PFC), disrupting neuronal network, and causing behavioral deficits. Mitochondria-targeted antioxidant Mito-Q protects against these impairments. Methods Sprague Dawley rats were provided with Mito-Q (250 μM) in drinking water for 4 weeks followed by SVEE 5 h/day for 2 weeks, followed by behavioral and biochemical assessments. Results SVEE resulted in anxiety- and depression-like behavior, accompanied with increased oxidative stress, diminished antioxidant response and mitochondrial impairment reflected from electron transport chain (ETC) disruption, reduced oxygen consumption, low adenosine tri-phosphate (ATP) synthesis and an alteration in the mitochondrial biochemical dynamics assessed via protein expression profiles of mitochondrial fission marker, dynamin-related protein-1 and fusion markers, mitofusin-1/2 in the HIP, AMY and the PFC. Mito-Q treatment prevented SVEE-induced behavioral deficits, attenuated rise in oxidative stress and also prevented SVEE-induced mitochondrial impairment. Conclusion This study demonstrates a causal mechanism mediating SVEE-induced behavioral deficits in rats. We further established that SVEE is a toxicological stressor that induces oxidative stress and results in mitochondrial impairment, which by disrupting neural circuitry impairs cognitive and behavioral functions. Simulated vehicle exhaust exposure is a source of toxicological stress. Prolonged exposure leads to behavioral deficits and elevated oxidative stress. Oxidative stress elevation triggers mitochondrial impairment in the brain. Mito-Q prevents exhaust-associated behavioral and biochemical alterations.
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Affiliation(s)
- Ankita Salvi
- Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, 77204, USA
| | - Hesong Liu
- Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, 77204, USA
| | - Samina Salim
- Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX, 77204, USA
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Salvi A, Salim S. Neurobehavioral Consequences of Traffic-Related Air Pollution. Front Neurosci 2019; 13:1232. [PMID: 31824243 PMCID: PMC6881276 DOI: 10.3389/fnins.2019.01232] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 10/31/2019] [Indexed: 01/01/2023] Open
Abstract
Traffic-related air pollution (TRAP) is a major contributor to global air pollution. The World Health Organization (WHO) has reported that air pollution due to gasoline and diesel emissions from internal combustion engines of automobiles, trucks, locomotives, and ships leads to 800,000 premature deaths annually due to pulmonary, cardiovascular, and neurological complications. It has been observed that individuals living and working in areas of heavy vehicle traffic have high susceptibility to anxiety, depression, and cognitive deficits. Information regarding the mechanisms that potentially lead to detrimental mental health effects of TRAP is gradually increasing. Several studies have suggested that TRAP is associated with adverse effects in the central nervous system (CNS), primarily due to increase in oxidative stress and neuroinflammation. Animal studies have provided further useful insights on the deleterious effects of vehicle exhaust emissions (VEEs). The mechanistic basis for these effects is unclear, although gasoline and diesel exhaust-induced neurotoxicity seems the most plausible cause. Several important points emerge from these studies. First, TRAP leads to neurotoxicity. Second, TRAP alters neurobehavioral function. Exactly how that happens remains unclear. This review article will discuss current state of the literature on this subject and potential leads that have surfaced from the preclinical work.
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Affiliation(s)
- Ankita Salvi
- Department of Pharmacological and Pharmaceutical Sciences, University of Houston, Houston, TX, United States
| | - Samina Salim
- Department of Pharmacological and Pharmaceutical Sciences, University of Houston, Houston, TX, United States
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Zeng Y, Lin R, Liu L, Liu Y, Li Y. Ambient air pollution exposure and risk of depression: A systematic review and meta-analysis of observational studies. Psychiatry Res 2019; 276:69-78. [PMID: 31029037 DOI: 10.1016/j.psychres.2019.04.019] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 04/16/2019] [Accepted: 04/16/2019] [Indexed: 10/27/2022]
Abstract
Recent studies have reported an association between air pollution exposure and depression, with inconsistent results. To address this controversy, we conducted a systematic review and meta-analysis of published observational studies that investigated outdoor air pollution and depression. Five electronic databases were searched, and fifteen articles were finally identified. Pooled odds risks were calculated separately based on pollutant type, exposure duration and outcome. Subgroup analyses were conducted based on design, population, important potential confounders, and pollutants levels. We found a significantly increased risk of depression with long-term exposure to PM2.5 and short-term exposure to PM10, NO2, SO2, CO. No evidence was found in the association between exposure to O3 and depression. Besides, exposure to high levels of pollutants indicates a higher risk of depression. Our results highlight the necessity of air pollution control for depression. However, further studies with standardized methods are still required to support the results due to the inconsistent results in stratified analyses and methodological limitations of the included studies.
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Affiliation(s)
- Ying Zeng
- Xiang Ya Nursing School, Central South University, Changsha, Hunan, China; Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Ruoheng Lin
- The Second People's Hospital of Hunan Province, Brain Hospital of Hunan Province, Changsha, Hunan, China
| | - Li Liu
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yiting Liu
- Xiang Ya Nursing School, Central South University, Changsha, Hunan, China
| | - Yamin Li
- Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
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Zhao S, Wang J, Xie Q, Luo L, Zhu Z, Liu Y, Deng Y, Kang R, Luo J, Zhao Z. Elucidating Mechanisms of Long-Term Gasoline Vehicle Exhaust Exposure–Induced Erectile Dysfunction in a Rat Model. J Sex Med 2019; 16:155-167. [DOI: 10.1016/j.jsxm.2018.12.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Revised: 12/20/2018] [Accepted: 12/22/2018] [Indexed: 02/02/2023]
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Elnabawy HM, Casanova-Chafer J, Anis B, Fedawy M, Scardamaglia M, Bittencourt C, Khalil ASG, Llobet E, Vilanova X. Wet chemistry route for the decoration of carbon nanotubes with iron oxide nanoparticles for gas sensing. BEILSTEIN JOURNAL OF NANOTECHNOLOGY 2019; 10:105-118. [PMID: 30680283 PMCID: PMC6334796 DOI: 10.3762/bjnano.10.10] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 11/29/2018] [Indexed: 06/09/2023]
Abstract
In this work, we investigated the parameters for decorating multiwalled carbon nanotubes with iron oxide nanoparticles using a new, inexpensive approach based on wet chemistry. The effect of process parameters such as the solvent used, the amount of iron salt or the calcination time on the morphology, decoration density and nanocluster size were studied. With the proposed approach, the decoration density can be adjusted by selecting the appropriate ratio of carbon nanotubes/iron salt, while nanoparticle size can be modulated by controlling the calcination period. Pristine and iron-decorated carbon nanotubes were deposited on silicon substrates to investigate their gas sensing properties. It was found that loading with iron oxide nanoparticles substantially ameliorated the response towards nitrogen dioxide.
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Affiliation(s)
- Hussam M Elnabawy
- Electronics & Communications Department, Faculty of Engineering, Arab Academy for Science and Technology & Maritime Transport, Cairo, Egypt
| | - Juan Casanova-Chafer
- MINOS-EMaS, Universitat Rovira i Virgili, Avda. Països Catalans, 26, 43007 Tarragona, Spain
| | - Badawi Anis
- Spectroscopy Department, Physics Division, National Research Centre, 33 El Bohouth st. (former El Tahrir st.), P.O. 12622 Dokki, Giza, Egypt
| | - Mostafa Fedawy
- Electronics & Communications Department, Faculty of Engineering, Arab Academy for Science and Technology & Maritime Transport, Cairo, Egypt
| | - Mattia Scardamaglia
- Chemistry of Interaction Plasma Surface (ChIPS), University of Mons, 7000 Mons, Belgium
| | - Carla Bittencourt
- Chemistry of Interaction Plasma Surface (ChIPS), University of Mons, 7000 Mons, Belgium
| | - Ahmed S G Khalil
- Physics Department & Center for Environmental and Smart Technology (CEST), Faculty of Science, Fayoum University, Fayoum, Egypt
| | - Eduard Llobet
- MINOS-EMaS, Universitat Rovira i Virgili, Avda. Països Catalans, 26, 43007 Tarragona, Spain
| | - Xavier Vilanova
- MINOS-EMaS, Universitat Rovira i Virgili, Avda. Països Catalans, 26, 43007 Tarragona, Spain
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Bai L, Zhang X, Zhang Y, Cheng Q, Duan J, Gao J, Xu Z, Zhang H, Wang S, Su H. Ambient concentrations of NO2 and hospital admissions for schizophrenia. Occup Environ Med 2018; 76:125-131. [DOI: 10.1136/oemed-2018-105162] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 08/21/2018] [Accepted: 10/06/2018] [Indexed: 12/13/2022]
Abstract
ObjectivesSchizophrenia is a chronic and severe mental disorder affecting more than 21 million people worldwide. Short-term exposure to nitrogen dioxide (NO2) has been associated with hospital admissions (HAs) for mental disorders, but no study has evaluated the specific association of NO2 and schizophrenia. Additionally, the shape of the concentration–response (C–R) curve has not yet been assessed at present. This study aims to investigate the relationship between short-term exposure to NO2 and HAs for schizophrenia in Hefei, from 2014 to 2016. We also attempt to explore the C–R and the underlying effect modifiers of the association.MethodsDaily number of HAs for schizophrenia was derived from the computerised medical record system of Anhui Mental Health Center. We used a time-series Poisson generalised linear regression combined with distributed lag non-linear models to model the NO2–schizophrenia relationship.ResultsA total of 11 373 HAs were identified during the study period. An increase in levels of NO2 was significantly associated with elevated schizophrenia HAs. The estimated relative risk per IQR increase in NO2 at lag 01 was 1.10 (95% CI 1.01 to 1.18). Greater association was observed in young patients (relative risk: 1.11, 95% CI 1.02 to 1.19). The modelled C–R curves of the NO2–schizophrenia relationship suggested possible threshold effects of NO2 for all ages combined, young patients, men and both seasons.ConclusionsShort-term exposure to NO2 may be associated with increased schizophrenia HAs. Findings indicated potential threshold effects of NO2, which has important implications for health-based risk assessments.
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Reis H, Reis C, Sharip A, Reis W, Zhao Y, Sinclair R, Beeson L. Diesel exhaust exposure, its multi-system effects, and the effect of new technology diesel exhaust. ENVIRONMENT INTERNATIONAL 2018; 114:252-265. [PMID: 29524921 DOI: 10.1016/j.envint.2018.02.042] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Revised: 02/24/2018] [Accepted: 02/24/2018] [Indexed: 11/07/2023]
Abstract
Exposure to diesel exhaust (DE) from vehicles and industry is hazardous and affects proper function of organ systems. DE can interfere with normal physiology after acute and chronic exposure to particulate matter (PM). Exposure leads to potential systemic disease processes in the central nervous, visual, hematopoietic, respiratory, cardiovascular, and renal systems. In this review, we give an overview of the epidemiological evidence supporting the harmful effects of diesel exhaust, and the numerous animal studies conducted to investigate the specific pathophysiological mechanisms behind DE exposure. Additionally, this review includes a summary of studies that used biomarkers as an indication of biological plausibility, and also studies evaluating new technology diesel exhaust (NTDE) and its systemic effects. Lastly, this review includes new approaches to improving DE emissions, and emphasizes the importance of ongoing study in this field of environmental health.
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Affiliation(s)
- Haley Reis
- Loma Linda University School of Medicine, 11175 Campus Street, Loma Linda, CA 92350, USA
| | - Cesar Reis
- Department of Preventive Medicine, Loma Linda University Medical Center, 24785 Stewart Street, Suite 204, Loma Linda, CA 92354, USA; Loma Linda University School of Medicine, 11175 Campus Street, Loma Linda, CA 92350, USA.
| | - Akbar Sharip
- Department of Occupational Medicine, Loma Linda University Medical Center, 328 East Commercial Road, Suite 101, San Bernardino, CA 92408, USA
| | - Wenes Reis
- Department of Preventive Medicine, Loma Linda University Medical Center, 24785 Stewart Street, Suite 204, Loma Linda, CA 92354, USA
| | - Yong Zhao
- School of Public Health and Management, Chongqing Medical University, Chongqing, China; Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China; The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
| | - Ryan Sinclair
- Center for Community Resilience, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA
| | - Lawrence Beeson
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA.
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Ljubimova JY, Braubach O, Patil R, Chiechi A, Tang J, Galstyan A, Shatalova ES, Kleinman MT, Black KL, Holler E. Coarse particulate matter (PM 2.5-10) in Los Angeles Basin air induces expression of inflammation and cancer biomarkers in rat brains. Sci Rep 2018; 8:5708. [PMID: 29632393 PMCID: PMC5890281 DOI: 10.1038/s41598-018-23885-3] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2017] [Accepted: 03/20/2018] [Indexed: 12/24/2022] Open
Abstract
Air pollution is linked to brain inflammation, which accelerates tumorigenesis and neurodegeneration. The molecular mechanisms that connect air pollution with brain pathology are largely unknown but seem to depend on the chemical composition of airborne particulate matter (PM). We sourced ambient PM from Riverside, California, and selectively exposed rats to coarse (PM2.5–10: 2.5–10 µm), fine (PM<2.5: <2.5 µm), or ultrafine particles (UFPM: <0.15 µm). We characterized each PM type via atomic emission spectroscopy and detected nickel, cobalt and zinc within them. We then exposed rats separately to each PM type for short (2 weeks), intermediate (1–3 months) and long durations (1 year). All three metals accumulated in rat brains during intermediate-length PM exposures. Via RNAseq analysis we then determined that intermediate-length PM2.5–10 exposures triggered the expression of the early growth response gene 2 (EGR2), genes encoding inflammatory cytokine pathways (IL13-Rα1 and IL-16) and the oncogene RAC1. Gene upregulation occurred only in brains of rats exposed to PM2.5–10 and correlated with cerebral nickel accumulation. We hypothesize that the expression of inflammation and oncogenesis-related genes is triggered by the combinatorial exposure to certain metals and toxins in Los Angeles Basin PM2.5–10.
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Affiliation(s)
- Julia Y Ljubimova
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, 90048, USA
| | - Oliver Braubach
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, 90048, USA.
| | - Rameshwar Patil
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, 90048, USA
| | - Antonella Chiechi
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, 90048, USA
| | - Jie Tang
- Genomics Core, Cedars-Sinai Medical Center, Los Angeles, 90048, USA
| | - Anna Galstyan
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, 90048, USA
| | | | - Michael T Kleinman
- Department of Community and Environmental Medicine Air Pollution Health Effects Laboratory, University of California, Irvine, 92697, USA
| | - Keith L Black
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, 90048, USA
| | - Eggehard Holler
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, 90048, USA.,Institut für Biophysik und Physikalische Biochemie der Universität Regensburg, Regensburg, 93040, Germany
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Nway NC, Fujitani Y, Hirano S, Mar O, Win-Shwe TT. Role of TLR4 in olfactory-based spatial learning activity of neonatal mice after developmental exposure to diesel exhaust origin secondary organic aerosol. Neurotoxicology 2017; 63:155-165. [DOI: 10.1016/j.neuro.2017.10.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 09/27/2017] [Accepted: 10/03/2017] [Indexed: 01/24/2023]
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