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Lian X, Wang Y, Guo J, Wan X, Ye X, Zhou J, Han R, Yu H, Huang S, Li J. The short-term effects of individual and mixed ambient air pollutants on suicide mortality: A case-crossover study. JOURNAL OF HAZARDOUS MATERIALS 2024; 472:134505. [PMID: 38703689 DOI: 10.1016/j.jhazmat.2024.134505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 04/14/2024] [Accepted: 04/30/2024] [Indexed: 05/06/2024]
Abstract
It is critical to explore intervenable environmental factors in suicide mortality. Based on 30,688 suicide cases obtained from the Mortality Surveillance System of the Jiangsu Provincial Centre for Disease Control and Prevention, we utilized a case-crossover design, and found that the OR of suicide deaths increased by a maximum of 0.71 % (95 % CI: 0.09 %, 1.32 %), 0.68 % (95 % CI: 0.12 %, 1.25 %), 0.77 % (95 % CI: 0.19 %, 1.37 %), 2.95 % (95 % CI: 1.62 %, 4.29 %), 4.18 % (95 % CI: 1.55 %, 6.88 %), and 0.93 % (95 % CI: 0.10 %, 1.77 %), respectively, for per 10 μg/m3 increase in the particulate matter (PM) with diameters ≤ 2.5 µm (PM2.5), PM with diameters ≤ 10 µm (PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and per 0.1 mg/m3 increase in carbon monoxide (CO) concentrations with the conditional logistic regression analysis. People living in county-level cities were more susceptible. Particularly, a significant positive association was found between air pollutant mixture exposure and suicide deaths (OR=1.04,95 % CI: 1.01, 1.06). The excess fraction of suicide deaths due to air pollution reached a maximum of 8.07 %. In conclusion, we found associations between individual and mixed ambient air pollutants and suicide deaths, informing the development of integrated air pollution management and targeted measures for suicide prevention and intervention. ENVIRONMENTAL IMPLICATION: As a major contributor to the global burden of disease, air pollution was confirmed by accumulating studies to have adverse impact on mental health, and potentially lead to suicide deaths. However, systematic studies on the association between air pollution and suicide mortality are lacking. We explored the associations of multiple air pollutants and pollution mixtures with suicide deaths and assessed excess suicide mortality due to air pollution, emphasizing the importance of air pollution control on suicide prevention. Our study provides evidence to support mechanistic studies on the association between air pollution and suicide, and informs comprehensive air pollution management.
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Affiliation(s)
- Xinyao Lian
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Yaqi Wang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Jianhui Guo
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Xiaoyu Wan
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - Xinyao Ye
- School of Public Health, Peking University, Beijing 100191, China
| | - Jinyi Zhou
- Non-Communicable Chronic Disease Control and Prevention Institute, Jiangsu Provincial Center for Disease Control and Prevention, Jiangsu 210009, China
| | - Renqiang Han
- Non-Communicable Chronic Disease Control and Prevention Institute, Jiangsu Provincial Center for Disease Control and Prevention, Jiangsu 210009, China
| | - Hao Yu
- Non-Communicable Chronic Disease Control and Prevention Institute, Jiangsu Provincial Center for Disease Control and Prevention, Jiangsu 210009, China.
| | - Shaodan Huang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.
| | - Jing Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China.
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Manangama G, Galera C, Audignon-Durand S, Gramond C, Tartaglia M, Zaros C, Teysseire R, Brochard P, Sentilhes L, Delva F. Maternal occupational exposure to carbonaceous nanoscale particles and neurodevelopmental outcomes in early childhood: Analysis of the French Longitudinal Study of Children - Elfe study. ENVIRONMENTAL RESEARCH 2024; 248:118364. [PMID: 38309566 DOI: 10.1016/j.envres.2024.118364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 01/06/2024] [Accepted: 01/29/2024] [Indexed: 02/05/2024]
Abstract
OBJECTIVE To investigate the association between occupational exposures to carbonaceous unintentionally emitted nanoscale particles (UNPs) during pregnancy and the child's language development and behaviour at two years old. METHODS Using data from the French Longitudinal Study of Childhood - ELFE, we selected mothers who worked during pregnancy and their children. Exposure to carbonaceous UNPs was assessed by the MatPUF (job-exposure matrix for ultrafine particles). Children's lexical development was analysed using 'the Mac Arthur - Bates communicative development inventories-words and sentences-short form' (MB-CDI) in a multivariate binary logistic regression. Their risk for autism spectrum disorders was studied using 'the Modified-CHecklist for Autism in Toddler' (M-CHAT) according to the recommended thresholds (low risk = 0-2; intermediate risk = 3-6 and high risk = 7-23) in unordered multinomial logistic regression models. RESULTS Maternal occupational exposure to carbonaceous UNPs was associated with delayed child language development (ORadj: 1.34; 95 % CI: 1.00, 1.80) but not with behavioural disorders (autism spectrum disorders) at two years old. CONCLUSION This is the first epidemiological study to show a significant association between maternal occupational exposure to carbonaceous nanoscale particles and child language development at 2 years old.
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Affiliation(s)
- Guyguy Manangama
- University of Bordeaux, Inserm UMR1219-EPICENE, Bordeaux Population Health Research Center, Bordeaux, France
| | - Cédric Galera
- University of Bordeaux, Inserm UMR1219-HEALTHY, Bordeaux Population Health Research Center, Bordeaux, France
| | - Sabyne Audignon-Durand
- University of Bordeaux, Inserm UMR1219-EPICENE, Bordeaux Population Health Research Center, Bordeaux, France
| | - Céline Gramond
- University of Bordeaux, Inserm UMR1219-EPICENE, Bordeaux Population Health Research Center, Bordeaux, France
| | - Marie Tartaglia
- University of Bordeaux, Inserm UMR1219-EPICENE, Bordeaux Population Health Research Center, Bordeaux, France
| | - Cécile Zaros
- Joint Research Unit Elfe, Ined-Inserm-EFS, France
| | - Raphaëlle Teysseire
- University of Bordeaux, Inserm UMR1219-EPICENE, Bordeaux Population Health Research Center, Bordeaux, France; Bordeaux Teaching Hospital, Artemis Center, Bordeaux, France
| | - Patrick Brochard
- University of Bordeaux, Inserm UMR1219-EPICENE, Bordeaux Population Health Research Center, Bordeaux, France; Bordeaux Teaching Hospital, Artemis Center, Bordeaux, France
| | - Loïc Sentilhes
- Bordeaux Teaching Hospital, Artemis Center, Bordeaux, France; Department of Obstetrics and Gynecology, Bordeaux University Hospital, Bordeaux, France
| | - Fleur Delva
- University of Bordeaux, Inserm UMR1219-EPICENE, Bordeaux Population Health Research Center, Bordeaux, France; Bordeaux Teaching Hospital, Artemis Center, Bordeaux, France; Clinical and Epidemiological Research Unit, INSERM CIC1401, F-33000, Bordeaux, France.
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Polemiti E, Hese S, Schepanski K, Yuan J, Schumann G. How does the macroenvironment influence brain and behaviour-a review of current status and future perspectives. Mol Psychiatry 2024:10.1038/s41380-024-02557-x. [PMID: 38658771 DOI: 10.1038/s41380-024-02557-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 04/26/2024]
Abstract
The environment influences brain and mental health, both detrimentally and beneficially. Existing research has emphasised the individual psychosocial 'microenvironment'. Less attention has been paid to 'macroenvironmental' challenges, including climate change, pollution, urbanicity, and socioeconomic disparity. Notably, the implications of climate and pollution on brain and mental health have only recently gained prominence. With the advent of large-scale big-data cohorts and an increasingly dense mapping of macroenvironmental parameters, we are now in a position to characterise the relation between macroenvironment, brain, and behaviour across different geographic and cultural locations globally. This review synthesises findings from recent epidemiological and neuroimaging studies, aiming to provide a comprehensive overview of the existing evidence between the macroenvironment and the structure and functions of the brain, with a particular emphasis on its implications for mental illness. We discuss putative underlying mechanisms and address the most common exposures of the macroenvironment. Finally, we identify critical areas for future research to enhance our understanding of the aetiology of mental illness and to inform effective interventions for healthier environments and mental health promotion.
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Affiliation(s)
- Elli Polemiti
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience CCM, Charité-Universitätsmedizin Berlin, Berlin, Germany.
| | - Sören Hese
- Institute of Geography, Friedrich Schiller University Jena, Jena, Germany
| | | | - Jiacan Yuan
- Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences & CMA-FDU Joint Laboratory of Marine Meteorology & IRDR-ICOE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai, China
| | - Gunter Schumann
- Centre of Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Clinical Neuroscience CCM, Charité-Universitätsmedizin Berlin, Berlin, Germany.
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
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Domínguez A, Koch S, Marquez S, de Castro M, Urquiza J, Evandt J, Oftedal B, Aasvang GM, Kampouri M, Vafeiadi M, Mon-Williams M, Lewer D, Lepeule J, Andrusaityte S, Vrijheid M, Guxens M, Nieuwenhuijsen M. Childhood exposure to outdoor air pollution in different microenvironments and cognitive and fine motor function in children from six European cohorts. ENVIRONMENTAL RESEARCH 2024; 247:118174. [PMID: 38244968 DOI: 10.1016/j.envres.2024.118174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 01/06/2024] [Accepted: 01/09/2024] [Indexed: 01/22/2024]
Abstract
BACKGROUND Exposure to air pollution during childhood has been linked with adverse effects on cognitive development and motor function. However, limited research has been done on the associations of air pollution exposure in different microenvironments such as home, school, or while commuting with these outcomes. OBJECTIVE To analyze the association between childhood air pollution exposure in different microenvironments and cognitive and fine motor function from six European birth cohorts. METHODS We included 1301 children from six European birth cohorts aged 6-11 years from the HELIX project. Average outdoor air pollutants concentrations (NO2, PM2.5) were estimated using land use regression models for different microenvironments (home, school, and commute), for 1-year before the outcome assessment. Attentional function, cognitive flexibility, non-verbal intelligence, and fine motor function were assessed using the Attention Network Test, Trail Making Test A and B, Raven Colored Progressive Matrices test, and the Finger Tapping test, respectively. Adjusted linear regressions models were run to determine the association between each air pollutant from each microenvironment on each outcome. RESULTS In pooled analysis we observed high correlation (rs = 0.9) between air pollution exposures levels at home and school. However, the cohort-by-cohort analysis revealed correlations ranging from low to moderate. Air pollution exposure levels while commuting were higher than at home or school. Exposure to air pollution in the different microenvironments was not associated with working memory, attentional function, non-verbal intelligence, and fine motor function. Results remained consistently null in random-effects meta-analysis. CONCLUSIONS No association was observed between outdoor air pollution exposure in different microenvironments (home, school, commute) and cognitive and fine motor function in children from six European birth cohorts. Future research should include a more detailed exposure assessment, considering personal measurements and time spent in different microenvironments.
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Affiliation(s)
- Alan Domínguez
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Sarah Koch
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Sandra Marquez
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Montserrat de Castro
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Jose Urquiza
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Jorun Evandt
- Norwegian Institute of Public Health, Department of Air Quality and Noise, Oslo, Norway
| | - Bente Oftedal
- Norwegian Institute of Public Health, Department of Air Quality and Noise, Oslo, Norway
| | - Gunn Marit Aasvang
- Norwegian Institute of Public Health, Department of Air Quality and Noise, Oslo, Norway
| | - Mariza Kampouri
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Mark Mon-Williams
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Dan Lewer
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Johanna Lepeule
- University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Development and Respiratory Health, IAB, 38000, Grenoble, France
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Martine Vrijheid
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mònica Guxens
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Mark Nieuwenhuijsen
- ISGlobal, Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
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Cheng J, Sun J, Niu R, Wang X, Hu G, Li F, Gu K, Wu H, Pu Y, Shen F, Hu H, Shen Z. Chronic exposure to PM 10 induces anxiety-like behavior via exacerbating hippocampal oxidative stress. Free Radic Biol Med 2024; 216:12-22. [PMID: 38458393 DOI: 10.1016/j.freeradbiomed.2024.02.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/26/2024] [Accepted: 02/28/2024] [Indexed: 03/10/2024]
Abstract
As one of the most environmental concerns, inhaled particulate matter (PM10) causes numerous health problems. However, the associations between anxiety behavior and toxicity caused by PM10 have rarely been reported so far. To investigate the changes of behavior after PM10 exposure and to identify the potential mechanisms of toxicity, PM10 samples (with doses of 15 mg/kg and 30 mg/kg) were intratracheally instilled into rats to simulate inhalation of polluted air by the lungs. After instillation for eight weeks, anxiety-like behavior was evaluated, levels of oxidative stress and morphological changes of hippocampus were measured. The behavioral results indicated that PM10 exposure induced obvious anxiety-like behavior in the open field and elevated plus maze tests. Both PM10 concentrations tested could increase whole blood viscosity and trigger hippocampal neuronal damage and oxidative stress by increasing superoxide dismutase (SOD) activities and malondialdehyde levels, and decreasing the expressions of antioxidant-related proteins (e.g., nuclear factor erythroid 2-related factor 2 (Nrf2), SOD1 and heme oxygenase 1). Furthermore, through collecting and analyzing questionnaires, the data showed that the participants experienced obvious anxiety-related emotions and negative somatic responses under heavily polluted environments, especially PM10 being the main pollutant. These results show that PM10 exposure induces anxiety-like behavior, which may be related to suppressing the Nrf2/Keap1-SOD1 pathway.
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Affiliation(s)
- Jie Cheng
- Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Jian Sun
- Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Rui Niu
- Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China; Medical College, Xi'an Peihua University, Xi'an, 710125, China
| | - Xiaoqing Wang
- Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, Kaifeng, 475004, China
| | - Guilin Hu
- Grade 2016, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Fan Li
- Basic Medical Experiment Teaching Center, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Kunrong Gu
- Grade 2016, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Hao Wu
- Grade 2016, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Yuanchun Pu
- Grade 2016, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Fanqi Shen
- Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Hao Hu
- Department of Pharmacology, School of Basic Medical Sciences, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, China; Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, Ministry of Education of China, Xi'an, 710049, China.
| | - Zhenxing Shen
- Department of Environmental Science and Engineering, Xi'an Jiaotong University, Xi'an, 710061, China.
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Crooijmans KLHA, Iñiguez C, Withworth KW, Estarlich M, Lertxundi A, Fernández-Somoano A, Tardón A, Ibarluzea J, Sunyer J, Guxens M, Binter AC. Nitrogen dioxide exposure, attentional function, and working memory in children from 4 to 8 years: Periods of susceptibility from pregnancy to childhood. ENVIRONMENT INTERNATIONAL 2024; 186:108604. [PMID: 38564945 DOI: 10.1016/j.envint.2024.108604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 03/18/2024] [Accepted: 03/24/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Air pollution exposure during pregnancy and childhood has been linked to executive function impairment in children, however, very few studies have assessed these two exposure periods jointly to identify susceptible periods of exposure. We sought to identify potential periods of susceptibility of nitrogen dioxide (NO2) exposure from conception to childhood on attentional function and working memory in school-aged children. METHODS Within the Spanish INMA Project, we estimated residential daily NO2 exposures during pregnancy and up to 6 years of childhood using land use regression models (n = 1,703). We assessed attentional function at 4-6 years and 6-8 years, using the Conners Kiddie Continuous Performance Test and the Attention Network Test, respectively, and working memory at 6-8 years, using the N-back task. We used distributed lag non-linear models to assess the periods of susceptibility of each outcome, adjusting for potential confounders and correcting for multiple testing. We also stratified all models by sex. RESULTS Higher exposure to NO2 between 1.3 and 1.6 years of age was associated with higher hit reaction time standard error (HRT-SE) (0.14 ms (95 % CI 0.05; 0.22) per 10 μg/m3 increase in NO2) and between 1.5 and 2.2 years of age with more omission errors (1.02 (95 % CI 1.01; 1.03) of the attentional function test at 4-6 years. Higher exposure to NO2 between 0.3 and 2.2 years was associated with higher HRT-SE (10.61 ms (95 % CI 3.46; 17.75) at 6-8 years only in boys. We found no associations between exposure to NO2 and working memory at 6-8 years. CONCLUSION Our findings suggest that NO2 exposure during the first two years of life is associated with poorer attentional function in children from 4 to 8 years of age, especially in boys. These findings highlight the importance of exploring long-term effects of traffic-related air pollution exposure in older age groups.
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Affiliation(s)
- Kellie L H A Crooijmans
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Carmen Iñiguez
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Statistics and Operational Research, University of Valencia, Valencia, Spain; Epidemiology and Environmental Health Joint Research Unit, Jaume I University - University of Valencia, FISABIO, Valencia, Spain
| | - Kristina W Withworth
- Department of Medicine, Section of Epidemiology and Population Sciences and Center for Precision Environmental Health, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Marisa Estarlich
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, Jaume I University - University of Valencia, FISABIO, Valencia, Spain; Department of Infirmary and Chiropody, University of Valencia, C/Menendez Pelayo, s/n 46010 Valencia, Spain
| | - Aitana Lertxundi
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Preventive Medicine and Public Health, University of the Basque Country (UPV/EHU), Leioa, Spain; Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastian, Spain
| | - Ana Fernández-Somoano
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; IUOPA-Department of Medicine, University of Oviedo, Julian Clavería Street s/n, 33006 Oviedo, Asturias, Spain
| | - Adonina Tardón
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; IUOPA-Department of Medicine, University of Oviedo, Julian Clavería Street s/n, 33006 Oviedo, Asturias, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Roma Avenue s/n. 33001, Oviedo, Asturias, Spain
| | - Jesús Ibarluzea
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Group of Environmental Epidemiology and Child Development, Biodonostia Health Research Institute, San Sebastian, Spain; Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, 20013 San Sebastian, Spain; Faculty of Psychology, Universidad del País Vasco (UPV/EHU), San Sebastian, Spain
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands.
| | - Anne-Claire Binter
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
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Cao T, Tian M, Hu H, Yu Q, You J, Yang Y, An Z, Song J, Zhang G, Zhang G, Wu W, Wu H. The relationship between air pollution and depression and anxiety disorders - A systematic evaluation and meta-analysis of a cohort-based study. Int J Soc Psychiatry 2024; 70:241-270. [PMID: 37753871 DOI: 10.1177/00207640231197941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
OBJECTIVE To explore the correlation between air pollution and the onset of depression and anxiety disorders, to draw more comprehensive and integrated conclusions, and to provide recommendations for maintaining mental health and developing policies to reduce mental health risks caused by air pollution. METHODS Meta-analysis of cohort study articles exploring the relationship between air pollution and depression or anxiety disorders included in Pubmed, Web Of Science, CNKI, and Wan Fang database before October 31, 2022, and subgroup analysis of the association between air pollution and depression and anxiety disorders regarding the air pollutants studied, the study population, and Publication bias analysis and sensitivity analysis. RESULTS A total of 25 articles meeting the criteria were included in this study, including 23 articles examining the relationship between air pollution and depression and 5 articles examining the relationship between air pollution and anxiety disorders. The results of the meta-analysis were based on the type of pollutant and showed that there was a high degree of heterogeneity among the studies on the relationship between air pollution and depression and a significant heterogeneity among the studies on PM2.5 and the risk of anxiety disorders (I2 = 71%, p < .01), so a random-effects model was selected for the analysis. CO, O3, and SO2 and depression onset had combined RR values of 1.10 (1.00, 1.20), 1.06 (0.87, 1.29), 1.17 (1.06, 1.31), 1.19 (0.90, 1.58), 1.03 (0.99, 1.07), and 1.09 (0.97, 1.24), respectively, and PM2.5 and anxiety The combined RR value for morbidity was 1.10 (0.99, 1.22). The results of sensitivity analysis showed that the combined results were stable and reliable. The results of Egger regression method test showed that none of them had significant publication bias (p > .05). LIMITATION Combined exposure to air pollutants on depression and anxiety, further studies by other researchers are needed in the future. CONCLUSIONS PM2.5 and NO2 exposure, especially long-term exposure, may be associated with the onset of depression, and no association was found for the time being between PM10, CO, O3, SO2 exposure and depression and PM2.5 exposure and anxiety disorders.
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Affiliation(s)
- Tingting Cao
- School of Public Health, Xinxiang Medical University, China
| | - Meichen Tian
- School of Public Health, Xinxiang Medical University, China
| | - Han Hu
- School of Public Health, Xinxiang Medical University, China
| | - Qingqing Yu
- School of Public Health, Xinxiang Medical University, China
| | - Jing You
- School of Public Health, Xinxiang Medical University, China
| | - Yishu Yang
- School of Public Health, Xinxiang Medical University, China
| | - Zhen An
- School of Public Health, Xinxiang Medical University, China
| | - Jie Song
- School of Public Health, Xinxiang Medical University, China
| | - Guofu Zhang
- School of Public Health, Xinxiang Medical University, China
- Henan Province General Medical Educations and Research Center, Xinxiang, China
| | - Guicheng Zhang
- School of Public Health, Curtin University, Perth, Australia
| | - Weidong Wu
- School of Public Health, Xinxiang Medical University, China
- Henan Province General Medical Educations and Research Center, Xinxiang, China
| | - Hui Wu
- School of Public Health, Xinxiang Medical University, China
- Henan Province General Medical Educations and Research Center, Xinxiang, China
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Singh S A, Ansari MN, M. Elossaily G, Vellapandian C, Prajapati B. Investigating the Potential Impact of Air Pollution on Alzheimer's Disease and the Utility of Multidimensional Imaging for Early Detection. ACS OMEGA 2024; 9:8615-8631. [PMID: 38434844 PMCID: PMC10905749 DOI: 10.1021/acsomega.3c06328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 12/25/2023] [Accepted: 01/30/2024] [Indexed: 03/05/2024]
Abstract
Pollution is ubiquitous, and much of it is anthropogenic in nature, which is a severe risk factor not only for respiratory infections or asthma sufferers but also for Alzheimer's disease, which has received a lot of attention recently. This Review aims to investigate the primary environmental risk factors and their profound impact on Alzheimer's disease. It underscores the pivotal role of multidimensional imaging in early disease identification and prevention. Conducting a comprehensive review, we delved into a plethora of literature sources available through esteemed databases, including Science Direct, Google Scholar, Scopus, Cochrane, and PubMed. Our search strategy incorporated keywords such as "Alzheimer Disease", "Alzheimer's", "Dementia", "Oxidative Stress", and "Phytotherapy" in conjunction with "Criteria Pollutants", "Imaging", "Pathology", and "Particulate Matter". Alzheimer's disease is not only a result of complex biological factors but is exacerbated by the infiltration of airborne particles and gases that surreptitiously breach the nasal defenses to traverse the brain, akin to a Trojan horse. Various imaging modalities and noninvasive techniques have been harnessed to identify disease progression in its incipient stages. However, each imaging approach possesses inherent limitations, prompting exploration of a unified technique under a single umbrella. Multidimensional imaging stands as the linchpin for detecting and forestalling the relentless march of Alzheimer's disease. Given the intricate etiology of the condition, identifying a prospective candidate for Alzheimer's disease may take decades, rendering the development of a multimodal imaging technique an imperative. This research underscores the pressing need to recognize the chronic ramifications of invisible particulate matter and to advance our understanding of the insidious environmental factors that contribute to Alzheimer's disease.
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Affiliation(s)
- Ankul Singh S
- Department
of Pharmacology, SRM College of Pharmacy, SRM Institute of Science and Technology (SRMIST), Kattankulathur, Tamil Nadu 603203, India
| | - Mohd Nazam Ansari
- Department
of Pharmacology and Toxicology, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia
| | - Gehan M. Elossaily
- Department
of Basic Medical Sciences, College of Medicine, AlMaarefa University, P.O. Box 71666, Riyadh 13713, Saudi Arabia
| | - Chitra Vellapandian
- Department
of Pharmacology, SRM College of Pharmacy, SRM Institute of Science and Technology (SRMIST), Kattankulathur, Tamil Nadu 603203, India
| | - Bhupendra Prajapati
- Department
of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy,
Shree S.K. Patel College of Pharmaceutical Education and Research, Ganpat University, Gozaria Highway, Mehsana, North Gujarat 384012, India
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9
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Montone RA, Camilli M, Calvieri C, Magnani G, Bonanni A, Bhatt DL, Rajagopalan S, Crea F, Niccoli G. Exposome in ischaemic heart disease: beyond traditional risk factors. Eur Heart J 2024; 45:419-438. [PMID: 38238478 PMCID: PMC10849374 DOI: 10.1093/eurheartj/ehae001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 12/22/2023] [Accepted: 01/03/2024] [Indexed: 02/09/2024] Open
Abstract
Ischaemic heart disease represents the leading cause of morbidity and mortality, typically induced by the detrimental effects of risk factors on the cardiovascular system. Although preventive interventions tackling conventional risk factors have helped to reduce the incidence of ischaemic heart disease, it remains a major cause of death worldwide. Thus, attention is now shifting to non-traditional risk factors in the built, natural, and social environments that collectively contribute substantially to the disease burden and perpetuate residual risk. Of importance, these complex factors interact non-linearly and in unpredictable ways to often enhance the detrimental effects attributable to a single or collection of these factors. For this reason, a new paradigm called the 'exposome' has recently been introduced by epidemiologists in order to define the totality of exposure to these new risk factors. The purpose of this review is to outline how these emerging risk factors may interact and contribute to the occurrence of ischaemic heart disease, with a particular attention on the impact of long-term exposure to different environmental pollutants, socioeconomic and psychological factors, along with infectious diseases such as influenza and COVID-19. Moreover, potential mitigation strategies for both individuals and communities will be discussed.
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Affiliation(s)
- Rocco A Montone
- Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, L.go A. Gemelli, 1, 00168 Rome, Italy
| | - Massimiliano Camilli
- Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, L.go A. Gemelli, 1, 00168 Rome, Italy
- Department of Cardiovascular and Pulmonary Sciences, Catholic University of the Sacred Heart, Rome, Italy
| | | | - Giulia Magnani
- Department of Medicine, University of Parma, Parma, Italy
| | - Alice Bonanni
- Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, L.go A. Gemelli, 1, 00168 Rome, Italy
| | - Deepak L Bhatt
- Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sanjay Rajagopalan
- Cardiovascular Research Institute, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Filippo Crea
- Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, L.go A. Gemelli, 1, 00168 Rome, Italy
- Department of Cardiovascular and Pulmonary Sciences, Catholic University of the Sacred Heart, Rome, Italy
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10
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Hsu HHL, Lane JM, Schnaas L, Coull BA, Osorio-Valencia E, Chiu YHM, Wilson A, Just AC, Kloog I, Bellinger D, Téllez-Rojo MM, Wright RO. Sensitive development windows of prenatal air pollution and cognitive functioning in preschool age Mexican children. Environ Epidemiol 2024; 8:e291. [PMID: 38343731 PMCID: PMC10852370 DOI: 10.1097/ee9.0000000000000291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 12/18/2023] [Indexed: 03/13/2024] Open
Abstract
Introduction Neurotoxicity resulting from air pollution is of increasing concern. Considering exposure timing effects on neurodevelopmental impairments may be as important as the exposure dose. We used distributed lag regression to determine the sensitive windows of prenatal exposure to fine particulate matter (PM2.5) on children's cognition in a birth cohort in Mexico. Methods Analysis included 553 full-term (≥37 weeks gestation) children. Prenatal daily PM2.5 exposure was estimated using a validated satellite-based spatiotemporal model. McCarthy Scales of Children's Abilities (MSCA) were used to assess children's cognitive function at 4-5 years old (lower scores indicate poorer performance). To identify susceptibility windows, we used Bayesian distributed lag interaction models to examine associations between prenatal PM2.5 levels and MSCA. This allowed us to estimate vulnerable windows while testing for effect modification. Results After adjusting for maternal age, socioeconomic status, child age, and sex, Bayesian distributed lag interaction models showed significant associations between increased PM2.5 levels and decreased general cognitive index scores at 31-35 gestation weeks, decreased quantitative scale scores at 30-36 weeks, decreased motor scale scores at 30-36 weeks, and decreased verbal scale scores at 37-38 weeks. Estimated cumulative effects (CE) of PM2.5 across pregnancy showed significant associations with general cognitive index (C E ^ = -0.35, 95% confidence interval [CI] = -0.68, -0.01), quantitative scale (C E ^ = -0.27, 95% CI = -0.74, -0.02), motor scale (C E ^ = -0.25, 95% CI = -0.44, -0.05), and verbal scale (C E ^ = -0.2, 95% CI = -0.43, -0.02). No significant sex interactions were observed. Conclusions Prenatal exposure to PM2.5, particularly late pregnancy, was inversely associated with subscales of MSCA. Using data-driven methods to identify sensitive window may provide insight into the mechanisms of neurodevelopmental impairment due to pollution.
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Affiliation(s)
- Hsiao-Hsien Leon Hsu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jamil M. Lane
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Brent A. Coull
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts
| | | | - Yueh-Hsiu Mathilda Chiu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ander Wilson
- Department of Biostatistics, Colorado State University, Fort Collins, Colorado
| | - Allan C. Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Israel
| | - David Bellinger
- Department of Neurology,Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
- National Institute of Public Health, Cuernavaca, Mexico
| | | | - Robert O. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York
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11
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Wu F, Malek AM, Buchanich JM, Arena VC, Rager JR, Sharma RK, Vena JE, Bear T, Talbott EO. Exposure to ambient air toxicants and the risk of amyotrophic lateral sclerosis (ALS): A matched case control study. ENVIRONMENTAL RESEARCH 2024; 242:117719. [PMID: 37993052 DOI: 10.1016/j.envres.2023.117719] [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: 06/14/2023] [Revised: 11/10/2023] [Accepted: 11/15/2023] [Indexed: 11/24/2023]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder with few risk factors identified and no known cure. Gene-environment interaction is hypothesized especially for sporadic ALS cases (90-95%) which are of unknown etiology. We aimed to investigate risk factors for ALS including exposure to ambient air toxics. METHODS This population-based case-control study included 267 ALS cases (from the United States [U.S.] Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry National ALS Registry and Biorepository) and 267 age, sex, and county-matched controls identified via a commercial database. Exposure assessment for 34 ambient air toxicants was performed by assigning census tract-level U.S. Environmental Protection Agency (EPA) 2011 National Air Toxics Assessment (NATA) data to participants' residential ZIP codes. Conditional logistic regression was used to compute adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for individual compounds, chemical classes, and overall exposure. Sensitivity analyses using both conditional logistic regression and Bayesian grouped weighted quartile sum (GWQS) models were performed to assess the integrity of findings. RESULTS Using the 2011 NATA, the highest exposure quartile (Q4) compared to the lowest (Q1) of vinyl chloride (aOR = 6.00, 95% CI: 1.87-19.25), 2,4-dinitrotoluene (aOR = 5.45, 95% CI: 1.53-19.36), cyanide (aOR = 4.34, 95% CI: 1.52-12.43), cadmium (aOR = 3.30, 95% CI: 1.11-9.77), and carbon disulfide (aOR = 2.98, 95% CI: 1.00-8.91) was associated with increased odds of ALS. Residential air selenium showed an inverse association with ALS (second quartile [Q2] vs. Q1: aOR = 0.38, 95% CI: 0.18-0.79). Additionally, residential exposure to organic/chlorinated solvents (Q4 vs Q1: aOR = 2.62, 95% CI: 1.003-6.85) was associated with ALS. CONCLUSIONS Our findings using the 2011 NATA linked by census tract to residential area provide evidence of increased ALS risk in cases compared to controls for 2,4-dinitrotoluene, vinyl chloride, cyanide, and the organic/chlorinated solvents class. This underscores the importance of ongoing surveillance of potential exposures for at-risk populations.
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Affiliation(s)
- Fan Wu
- Department of Environmental and Occupational Health, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States.
| | - Angela M Malek
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC, United States
| | - Jeanine M Buchanich
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Vincent C Arena
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Judith R Rager
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Ravi K Sharma
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - John E Vena
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC, United States
| | - Todd Bear
- Department of Behavioral and Community Health Sciences, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Evelyn O Talbott
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States.
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12
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Pozzi FE, Remoli G, Tremolizzo L, Appollonio I, Ferrarese C, Cuffaro L. Brain Health and Cognition in Older Adults: Roadmap and Milestones towards the Implementation of Preventive Strategies. Brain Sci 2024; 14:55. [PMID: 38248270 PMCID: PMC10813413 DOI: 10.3390/brainsci14010055] [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: 11/28/2023] [Revised: 01/02/2024] [Accepted: 01/04/2024] [Indexed: 01/23/2024] Open
Abstract
In this narrative review, we delve into the evolving concept of brain health, as recognized by the WHO, focusing on its intersection with cognitive decline. We emphasize the imperative need for preventive strategies, particularly in older adults. We describe the target population that might benefit the most from risk-based approaches-namely, people with subjective cognitive decline. Additionally, we consider universal prevention in cognitively unimpaired middle-aged and older adults. Delving into multidomain personalized preventive strategies, we report on empirical evidence surrounding modifiable risk factors and interventions crucial in mitigating cognitive decline. Next, we highlight the emergence of brain health services (BHS). We explain their proposed role in risk assessment, risk communication, and tailored interventions to reduce the risk of dementia. Commenting on ongoing BHS pilot experiences, we present the inception and framework of our own BHS in Monza, Italy, outlining its operational structure and care pathways. We emphasize the need for global collaboration and intensified research efforts to address the intricate determinants of brain health and their potential impact on healthcare systems worldwide.
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Affiliation(s)
- Federico Emanuele Pozzi
- School of Medicine and Surgery, University of Milano-Bicocca, 20100 Milan, Italy; (G.R.); (L.T.); (I.A.); (C.F.); (L.C.)
- Neurology Department & Brain Health Service, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
- Milan Center for Neuroscience (Neuro-MI), University of Milano-Bicocca, 20126 Milan, Italy
| | - Giulia Remoli
- School of Medicine and Surgery, University of Milano-Bicocca, 20100 Milan, Italy; (G.R.); (L.T.); (I.A.); (C.F.); (L.C.)
- Neurology Department & Brain Health Service, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
| | - Lucio Tremolizzo
- School of Medicine and Surgery, University of Milano-Bicocca, 20100 Milan, Italy; (G.R.); (L.T.); (I.A.); (C.F.); (L.C.)
- Neurology Department & Brain Health Service, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
- Milan Center for Neuroscience (Neuro-MI), University of Milano-Bicocca, 20126 Milan, Italy
| | - Ildebrando Appollonio
- School of Medicine and Surgery, University of Milano-Bicocca, 20100 Milan, Italy; (G.R.); (L.T.); (I.A.); (C.F.); (L.C.)
- Neurology Department & Brain Health Service, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
- Milan Center for Neuroscience (Neuro-MI), University of Milano-Bicocca, 20126 Milan, Italy
| | - Carlo Ferrarese
- School of Medicine and Surgery, University of Milano-Bicocca, 20100 Milan, Italy; (G.R.); (L.T.); (I.A.); (C.F.); (L.C.)
- Neurology Department & Brain Health Service, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
- Milan Center for Neuroscience (Neuro-MI), University of Milano-Bicocca, 20126 Milan, Italy
| | - Luca Cuffaro
- School of Medicine and Surgery, University of Milano-Bicocca, 20100 Milan, Italy; (G.R.); (L.T.); (I.A.); (C.F.); (L.C.)
- Neurology Department & Brain Health Service, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
- Milan Center for Neuroscience (Neuro-MI), University of Milano-Bicocca, 20126 Milan, Italy
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13
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Cao Z, Yuan Y, White AJ, Li C, Luo Z, D’Aloisio AA, Huang X, Kaufman JD, Sandler DP, Chen H. Air Pollutants and Risk of Parkinson's Disease among Women in the Sister Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:17001. [PMID: 38175185 PMCID: PMC10766011 DOI: 10.1289/ehp13009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Air pollutants may contribute to the development of Parkinson's disease (PD), but empirical evidence is limited and inconsistent. OBJECTIVES This study aimed to prospectively investigate the associations of PD with ambient exposures to fine particulate matter with aerodynamic diameter ≤ 2.5 μ m (PM 2.5 ) and nitrogen dioxide (NO 2 ). METHODS We analyzed data from 47,108 US women from the Sister Study, enrolled from 2003-2009 (35-80 years of age) and followed through 2018. Exposures of interest included address-level ambient PM 2.5 and NO 2 in 2009 and their cumulative averages from 2009 to PD diagnosis with varying lag-years. The primary outcome was PD diagnosis between 2009 and 2018 (n = 163 ). We used multivariable Cox proportional hazards and time-varying Cox models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS NO 2 exposure in 2009 was associated with PD risk in a dose-response manner. The HR and 95% CI were 1.22 (95% CI: 1.03, 1.46) for one interquartile [4.8 parts per billion (ppb)] increment in NO 2 , adjusting for age, race and ethnicity, education, smoking status, alcohol drinking, caffeine intake, body mass index, physical activity, census region, residential area type, area deprivation index (ADI), and self-reported health status. The association was confirmed in secondary analyses with time-varying averaged cumulative exposures. For example, the multivariable adjusted HR for PD per 4.8 ppb increment in NO 2 was 1.25 (95% CI: 1.05, 1.50) in the 2-year lag analysis using cumulative average exposure. Post hoc subgroup analyses overall confirmed the association. However, statistical interaction analyses found that the positive association of NO 2 with PD risk was limited to women in urban, rural, and small town areas and women with ≥ 50 th percentile ADI but not among women from suburban areas or areas with < 50 th percentile ADI. In contrast, PM 2.5 exposure was not associated with PD risk with the possible exception for women from the Midwest region of the US (HR interquartile -range = 2.49 , 95% CI: 1.20, 5.14) but not in other census regions. DISCUSSION In this nationwide cohort of US women, higher level exposure to ambient NO 2 is associated with a greater risk of PD. This finding needs to be independently confirmed and the underlying mechanisms warrant further investigation. https://doi.org/10.1289/EHP13009.
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Affiliation(s)
- Zichun Cao
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Yaqun Yuan
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Alexandra J. White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Chenxi Li
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Zhehui Luo
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
| | - Aimee A. D’Aloisio
- Social & Scientific Systems, DLH Holdings Corporation, Durham, North Carolina, USA
| | - Xuemei Huang
- Department of Neurology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - Joel D. Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Honglei Chen
- Department of Epidemiology and Biostatistics, Michigan State University College of Human Medicine, East Lansing, Michigan, USA
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14
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López-Granero C, Polyanskaya L, Ruiz-Sobremazas D, Barrasa A, Aschner M, Alique M. Particulate Matter in Human Elderly: Higher Susceptibility to Cognitive Decline and Age-Related Diseases. Biomolecules 2023; 14:35. [PMID: 38254635 PMCID: PMC10813119 DOI: 10.3390/biom14010035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/18/2023] [Accepted: 12/20/2023] [Indexed: 01/24/2024] Open
Abstract
This review highlights the significant impact of air quality, specifically particulate matter (PM), on cognitive decline and age-related diseases in the elderly. Despite established links to other pathologies, such as respiratory and cardiovascular illnesses, there is a pressing need for increased attention to the association between air pollution and cognitive aging, given the rising prevalence of neurocognitive disorders. PM sources are from diverse origins, including industrial activities and combustion engines, categorized into PM10, PM2.5, and ultrafine PM (UFPM), and emphasized health risks from both outdoor and indoor exposure. Long-term PM exposure, notably PM2.5, has correlated with declines in cognitive function, with a specific vulnerability observed in women. Recently, extracellular vesicles (EVs) have been explored due to the interplay between them, PM exposure, and human aging, highlighting the crucial role of EVs, especially exosomes, in mediating the complex relationship between PM exposure and chronic diseases, particularly neurological disorders. To sum up, we have compiled the pieces of evidence that show the potential contribution of PM exposure to cognitive aging and the role of EVs in mediating PM-induced cognitive impairment, which presents a promising avenue for future research and development of therapeutic strategies. Finally, this review emphasizes the need for policy changes and increased public awareness to mitigate air pollution, especially among vulnerable populations such as the elderly.
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Affiliation(s)
- Caridad López-Granero
- Department of Psychology and Sociology, University of Zaragoza, 44003 Teruel, Spain; (C.L.-G.); (D.R.-S.); (A.B.)
| | - Leona Polyanskaya
- Faculty of Psychology and Educational Sciences, University of Coimbra, 3000-115 Coimbra, Portugal;
- Coimbra Institute for Biomedical Imaging and Translational Research, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Diego Ruiz-Sobremazas
- Department of Psychology and Sociology, University of Zaragoza, 44003 Teruel, Spain; (C.L.-G.); (D.R.-S.); (A.B.)
| | - Angel Barrasa
- Department of Psychology and Sociology, University of Zaragoza, 44003 Teruel, Spain; (C.L.-G.); (D.R.-S.); (A.B.)
| | - Michael Aschner
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY 10461, USA;
| | - Matilde Alique
- Departamento de Biología de Sistemas, Universidad de Alcalá, Alcalá de Henares, 28871 Madrid, Spain
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034 Madrid, Spain
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15
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Pham KCT, Chiew KS. The impact of air pollution on neurocognitive development: Adverse effects and health disparities. Dev Psychobiol 2023; 65:e22440. [PMID: 38010305 PMCID: PMC10683861 DOI: 10.1002/dev.22440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 09/30/2023] [Accepted: 10/21/2023] [Indexed: 11/29/2023]
Abstract
Air pollution is recognized as a major public health concern. The number of deaths related to ambient air pollution has increased in recent years and is projected to continue rising. Additionally, both short- and long-term air pollution exposure has been linked with deleterious effects on neurocognitive function and development. While air pollution poses as a threat to everyone, people of color and individuals of lower socioeconomic status are often exposed to elevated levels of air pollution as a function of systemic racism and classism. Further, given additional disparities in access to healthcare and other compounding stressors, adverse effects of air pollution on neurocognitive health are exacerbated among individuals who hold marginalized identities-making effects both less likely to be detected and treated. This review examines evidence of the effects of air pollution on neurocognitive development across the lifespan and incorporates an environmental justice perspective to highlight disparities in air pollution exposure across race and socioeconomic status. Last, upon the reviewed evidence, limitations of past research and recommendations for policy are discussed.
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Affiliation(s)
- Kim-Chi T Pham
- Department of Psychology, University of Denver, Denver, Colorado, USA
| | - Kimberly S Chiew
- Department of Psychology, University of Denver, Denver, Colorado, USA
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16
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Mallah MA, Soomro T, Ali M, Noreen S, Khatoon N, Kafle A, Feng F, Wang W, Naveed M, Zhang Q. Cigarette smoking and air pollution exposure and their effects on cardiovascular diseases. Front Public Health 2023; 11:967047. [PMID: 38045957 PMCID: PMC10691265 DOI: 10.3389/fpubh.2023.967047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 06/26/2023] [Indexed: 12/05/2023] Open
Abstract
Cardiovascular disease (CVD) has no socioeconomic, topographical, or sex limitations as reported by the World Health Organization (WHO). The significant drivers of CVD are cardio-metabolic, behavioral, environmental, and social risk factors. However, some significant risk factors for CVD (e.g., a pitiable diet, tobacco smoking, and a lack of physical activities), have also been linked to an elevated risk of cardiovascular disease. Lifestyles and environmental factors are known key variables in cardiovascular disease. The familiarity with smoke goes along with the contact with the environment: air pollution is considered a source of toxins that contribute to the CVD burden. The incidence of myocardial infarction increases in males and females and may lead to fatal coronary artery disease, as confirmed by epidemiological studies. Lipid modification, inflammation, and vasomotor dysfunction are integral components of atherosclerosis development and advancement. These aspects are essential for the identification of atherosclerosis in clinical investigations. This article aims to show the findings on the influence of CVD on the health of individuals and human populations, as well as possible pathology and their involvement in smoking-related cardiovascular diseases. This review also explains lifestyle and environmental factors that are known to contribute to CVD, with indications suggesting an affiliation between cigarette smoking, air pollution, and CVD.
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Affiliation(s)
| | - Tahmina Soomro
- Department of Sociology, Shah Abdul Latif University, Khairpur, Pakistan
| | - Mukhtiar Ali
- Department of Chemical Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, Sindh, Pakistan
| | - Sobia Noreen
- Department of Pharmaceutics Technology, Institute of Pharmacy, University of Innsbruck, Insbruck, Austria
| | - Nafeesa Khatoon
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Akriti Kafle
- School of Nursing, Zhengzhou University, Zhengzhou, China
| | - Feifei Feng
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wei Wang
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Muhammad Naveed
- Department of Physiology and Pharmacology, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
| | - Qiao Zhang
- College of Public Health, Zhengzhou University, Zhengzhou, China
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Luo CW, Kuan YH, Chen WY, Chen CJ, Lin FCF, Tsai SCS. Association between PM2.5 exposure and risk of Parkinson's disease in individuals with chronic obstructive pulmonary disease in Taiwan: a nested case-control study. Epidemiol Health 2023; 45:e2023094. [PMID: 37905313 PMCID: PMC10876422 DOI: 10.4178/epih.e2023094] [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: 08/16/2023] [Accepted: 09/25/2023] [Indexed: 11/02/2023] Open
Abstract
OBJECTIVES This cohort study investigated the correlation between Parkinson's disease (PD) risk and chronic obstructive pulmonary disease (COPD) risk under particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5) exposure. METHODS Data from the National Health Research Institutes of Taiwan were used in this study. The Environmental Protection Administration of Taiwan established an air quality monitoring network for monitoring Taiwan's general air quality. COPD was indicated by at least 3 outpatient records and 1 hospitalization for COPD. After the implementation of age, sex, and endpoint matching at a 1:4 ratio, 137 patients and 548 patients were included in the case group and control group, respectively. Based on the 2005 World Health Organization (WHO) standards, monthly air particle concentration data were classified into the following 4 groups in analyses of exposure-response relationships: normal level, and 1.0, 1.5, and 2.0 times the WHO level ([concentration ≥2]×25 μg/m3×number of exposure months). RESULTS A multivariate logistic regression revealed that the 1.0 and 1.5 WHO level groups did not significantly differ from the normal level group, but the 2.0 WHO level did (odds ratio, 4.091; 95% confidence interval, 1.180 to 14.188; p=0.038). CONCLUSIONS Elevated PM2.5 concentrations were significantly correlated with an increased risk of PD among patients with COPD. Furthermore, exposure to high PM2.5 levels can further increase the risk of PD.
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Affiliation(s)
- Ci-Wen Luo
- Department of Medical Research, Tungs’ Taichung MetroHarbor Hospital, Taichung, Taiwan
- Department of Pharmacology, Chung Shan Medical University School of Medicine, Taichung, Taiwan
| | - Yu-Hsiang Kuan
- Department of Pharmacology, Chung Shan Medical University School of Medicine, Taichung, Taiwan
- Department of Pharmacy, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Wen-Ying Chen
- Department of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Chun-Jung Chen
- Department of Education and Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Frank Cheau-Feng Lin
- Department of Thoracic Surgery, Chung Shan Medical University Hospital, Taichung, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Stella Chin-Shaw Tsai
- Superintendent Office, Tungs’ Taichung MetroHarbor Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, National Chung Hsing University College of Medicine, Taichung, Taiwan
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Grippo A, Zhu K, Yeung EH, Bell EM, Bonner MR, Tian L, Mendola P, Mu L. Indoor air pollution exposure and early childhood development in the Upstate KIDS Study. ENVIRONMENTAL RESEARCH 2023; 234:116528. [PMID: 37419197 DOI: 10.1016/j.envres.2023.116528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 06/23/2023] [Accepted: 06/29/2023] [Indexed: 07/09/2023]
Abstract
BACKGROUND Limited human studies have investigated the impact of indoor air pollution on early childhood neurodevelopment among the US population. We aimed to examine the associations between prenatal and postnatal indoor air pollution exposure and early childhood development in a population-based birth cohort. METHODS This analysis included 4735 mother-child pairs enrolled between 2008 and 2010 in the Upstate KIDS Study. Indoor air pollution exposure from cooking fuels, heating fuels, and passive smoke during pregnancy, and at 12 and 36 months after birth were assessed by questionnaires. Five domains of child development were assessed by the Ages and Stages Questionnaire at 4, 8, 12, 18, 24, 30, and 36 months. Generalized estimating equations were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for potential confounders. RESULTS Exposure to unclean cooking fuels (natural gas, propane, or wood) throughout the study period was associated with increased odds of failing any development domain (OR = 1.28, 95% CI 1.07, 1.53), the gross motor domain (OR = 1.52, 95% CI: 1.09, 2.13), and the personal-social domain (OR = 1.36, 95% CI: 1.00, 1.85), respectively. Passive smoke exposure throughout the study period increased the odds of failing the problem-solving domain by 71% (OR = 1.71, 95% CI 1.01, 2.91) among children of non-smoking mothers. No association was found between heating fuel use and failing any or specific domains. CONCLUSION Unclean cooking fuel use and passive smoke exposure during pregnancy and early life were associated with developmental delays in this large prospective birth cohort.
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Affiliation(s)
- Alexandra Grippo
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Kexin Zhu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Edwina H Yeung
- Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Erin M Bell
- Department of Environmental Health Sciences and Epidemiology and Biostatistics, University at Albany School of Public Health, Rensselaer, NY, USA
| | - Matthew R Bonner
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Lili Tian
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Pauline Mendola
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Lina Mu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
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Xu J, Lan Z, Xu P, Zhang Z. The association between short-term exposure to nitrogen dioxide and hospital admission for schizophrenia: A systematic review and meta-analysis. Medicine (Baltimore) 2023; 102:e35024. [PMID: 37773873 PMCID: PMC10545286 DOI: 10.1097/md.0000000000035024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 08/09/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND Ambient air pollution has been identified as a primary risk factor for mental disorders. In recent years, the relationship between exposure to ambient nitrogen dioxide (NO2) and the risk of hospital admissions (HAs) for schizophrenia has garnered increasing scientific interest, but evidence from epidemiological studies has been inconsistent. Therefore, a systematic review and meta-analysis were conducted to comprehensively identify potential correlations. METHODS A literature search in 3 international databases was conducted before December 31, 2022. Relative risk (RR) and corresponding 95% confidence intervals (CI) were calculated to evaluate the strength of the associations. Summary effect sizes were calculated using a random-effects model due to the expected heterogeneity (I2 over 50%). RESULTS A total of ten eligible studies were included in the meta-analysis, including 1,412,860 participants. The pooled analysis found that an increased risk of HAs for schizophrenia was associated with exposure to each increase of 10 μg/m3 in NO2 (RR = 1.029, 95% CI = 1.016-1.041, P < .001). However, the heterogeneity was high for the summary estimates, reducing the credibility of the evidence. In 2-pollutant models, results for NO2 increased by 0.3%, 0.2% and 2.3%, respectively, after adjusting for PM2.5, PM10 and SO2. CONCLUSIONS This study provides evidence that NO2 exposure significantly increases the risk of hospital admission for schizophrenia. Future studies are required to clarify the potential biological mechanism between schizophrenia and NO2 exposure to provide a more definitive result.
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Affiliation(s)
- Jiating Xu
- Department of General Psychiatry II, The Third Hospital of Quzhou, Quzhou City, China
| | - Zhiyong Lan
- Department of General Psychiatry II, The Third Hospital of Quzhou, Quzhou City, China
| | - Penghao Xu
- Department of Geriatric Psychiatry II, The Third Hospital of Quzhou, Quzhou City, China
| | - Zhihua Zhang
- Department of Geriatric Psychiatry II, The Third Hospital of Quzhou, Quzhou City, China
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20
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Chiu YHM, Wilson A, Hsu HHL, Jamal H, Mathews N, Kloog I, Schwartz J, Bellinger DC, Xhani N, Wright RO, Coull BA, Wright RJ. Prenatal ambient air pollutant mixture exposure and neurodevelopment in urban children in the Northeastern United States. ENVIRONMENTAL RESEARCH 2023; 233:116394. [PMID: 37315758 PMCID: PMC10528414 DOI: 10.1016/j.envres.2023.116394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/22/2023] [Accepted: 06/09/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND Studies of prenatal air pollution (AP) exposure on child neurodevelopment have mostly focused on a single pollutant. We leveraged daily exposure data and implemented novel data-driven statistical approaches to assess effects of prenatal exposure to a mixture of seven air pollutants on cognitive functioning in school-age children from an urban pregnancy cohort. METHODS Analyses included 236 children born at ≥37 weeks gestation. Maternal prenatal daily exposure levels for nitrogen dioxide (NO2), ozone (O3), and constituents of fine particles [elemental carbon (EC), organic carbon (OC), nitrate (NO3-), sulfate (SO42-), ammonium (NH4+)] were estimated based on residential addresses using validated satellite-based hybrid models or global 3-D chemical-transport models. Children completed Wide Range Assessment of Memory and Learning (WRAML-2) and Conners' Continuous Performance Test (CPT-II) at 6.5 ± 0.9 years of age. Time-weighted levels for mixture pollutants were estimated using Bayesian Kernel Machine Regression Distributed Lag Models (BKMR-DLMs), with which we also explored the interactions in the exposure-response functions among pollutants. Resulting time-weighted exposure levels were used in Weighted Quantile Sum (WQS) regressions to examine AP mixture effects on outcomes, adjusted for maternal age, education, child sex, and prenatal temperature. RESULTS Mothers were primarily ethnic minorities (81% Hispanic and/or black) reporting ≤12 years of education (68%). Prenatal AP mixture (per unit increase in WQS estimated AP index) was associated with decreased WRAML-2 general memory (GM; β = -0.64, 95%CI = -1.40, 0.00) and memory-related attention/concentration (AC; β = -1.03, 95%CI = -1.78, -0.27) indices, indicating poorer memory functioning, as well as increased CPT-II omission errors (OE; β = 1.55, 95%CI = 0.34, 2.77), indicating increased attention problems. When stratified by sex, association with AC index was significant among girls, while association with OE was significant among boys. Traffic-related pollutants (NO2, OC, EC) and SO42- were major contributors to these associations. There was no significant evidence of interactions among mixture components. CONCLUSIONS Prenatal exposure to an AP mixture was associated with child neurocognitive outcomes in a sex- and domain-specific manner.
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Affiliation(s)
- Yueh-Hsiu Mathilda Chiu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Hsiao-Hsien Leon Hsu
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Harris Jamal
- Augusta University/University of Georgia Medical Partnership, Medical College of Georgia, Athens, GA, USA
| | - Nicole Mathews
- The Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - David C Bellinger
- Departments of Neurology and Psychiatry, Boston Children's Hospital, Boston, MA, USA; Departments of Neurology and Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Naim Xhani
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brent A Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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21
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Chen YC, Hsieh PI, Chen JK, Kuo E, Yu HL, Chiou JM, Chen JH. Effect of indoor air quality on the association of long-term exposure to low-level air pollutants with cognition in older adults. ENVIRONMENTAL RESEARCH 2023; 233:115483. [PMID: 36791838 DOI: 10.1016/j.envres.2023.115483] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 02/08/2023] [Accepted: 02/10/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND How indoor air quality affects the temporal associations of long-term exposure to low-level air pollutants with cognition remains unclear. METHODS This cohort study (2011-2019) included 517 non-demented older adults at baseline with four repeated cognitive assessments. The time-varying exposure to PM2.5, PM10, NO2, SO2, CO, and O3 was estimated for each participant from 1994 to 2019. Indoor air quality was determined by ventilation status and daily indoor time. Generalized linear mixed models were used to analyze the association of air pollutants, indoor air quality, and cognition adjusting for important covariates. RESULTS Over time, per 2.97 μg/m3 (i.e., an interquartile range) increment of PM2.5 was associated with the poor performance of memory (Z score of a cognitive test, βˆ:-0.14), attention (βˆ:-0.13), and executive function (βˆ:-0.20). Similarly, per 2.05 μg/m3 increase in PM2.5-10 was associated with poor global cognition [adjusted odds ratio (aOR): 1.48, βˆ:-0.28], attention (βˆ:-0.07), and verbal fluency (βˆ:-0.09); per 4.94 μg/m3 increase in PM10 was associated with poor global cognition (aOR: 1.78; βˆ:-0.37). In contrast, per 2.74 ppb increase in O3 was associated with better global cognition (βˆ:0.36 to 0.47). These associations became more evident in participants with poor ventilation or short daily indoor time (<12.5 h/day). For global cognition, the exposure to a 10-μg/m3 increment in PM2.5, PM2.5-10, and PM10 corresponded to 1.4, 5.8, and 2.8 years of aging, respectively. CONCLUSION This study demonstrated how indoor air quality in areas using clean fuels differentially affected the associations of long-term exposure to low-level air pollutants with cognition. Tightening air quality standards may help prevent dementia.
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Affiliation(s)
- Yen-Ching Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei, 10055, Taiwan; Department of Public Health, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei, 10055, Taiwan
| | - Pei-Iun Hsieh
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei, 10055, Taiwan
| | - Jia-Kun Chen
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei, 10055, Taiwan
| | - Emily Kuo
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei, 10055, Taiwan
| | - Hwa-Lung Yu
- Department of Bioenvironmental Systems Engineering, National Taiwan University, No. 1 Roosevelt Road, Section 4, Taipei, 10617, Taiwan
| | - Jeng-Min Chiou
- Institute of Statistics and Data Science, National Taiwan University, No. 1 Roosevelt Road, Section 4, Taipei, 10617, Taiwan; Institute of Statistical Science, Academia Sinica, 128 Academia Road, Section 2, Nankang District, Taipei, 11529, Taiwan
| | - Jen-Hau Chen
- Department of Geriatrics and Gerontology, National Taiwan University Hospital, No. 1, Changde Street, Taipei, 10048, Taiwan; Department of Internal Medicine, College of Medicine, National Taiwan University, No.1 Jen Ai Road Section 1, Taipei, 10051, Taiwan.
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22
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Zhu Z, Yang Z, Yu L, Xu L, Wu Y, Zhang X, Shen P, Lin H, Shui L, Tang M, Jin M, Wang J, Chen K. Residential greenness, air pollution and incident neurodegenerative disease: A cohort study in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 878:163173. [PMID: 37003317 DOI: 10.1016/j.scitotenv.2023.163173] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/18/2023] [Accepted: 03/26/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Neurodegenerative disease has a great adverse impact on population's death and disability worldwide. However, the association of air pollution and residential greenness with neurodegenerative disease and their potential mechanisms still remain uncertain. METHODS We used data from a population-based prospective cohort in Ningbo, China. Exposure to PM2.5, PM10 and NO2 were assessed by land-use regression (LUR) models and residential greenness was estimated by Normalized Difference Vegetation Index (NDVI). Our primary outcomes were all neurodegenerative diseases, Parkinson's disease (PD) and Alzheimer's disease (AD). Cox proportional hazards regression models were used to examine the association of air pollution and residential greenness with risk of incident neurodegenerative disease. Furthermore, we also explored the potential mediation relationship and effect modification between greenness and air pollutants. RESULTS During the follow-up period, we identified a total of 617 incident neurodegenerative diseases, 301 PD and 182 AD. In single-exposure models, PM2.5 was positively associated with all outcomes (e.g. AD hazard ratio (HR): 1.41, 95 % confidence interval (CI): 1.09-1.84, per interquartile range (IQR) increment), whereas residential greenness showed protective effects (e.g. neurodegenerative disease, HR: 0.82, 95%CI: 0.75-0.90, per IQR increment for NDVI in 1000 m buffer). NO2 was positively associated with risk of neurodegenerative disease and PM10 was associated with neurodegenerative disease and AD. In two-exposure models, after adjustment for PM2.5, the association for greenness generally attenuated towards null. Moreover, we identified the significant modification effect of greenness on PM2.5 on additive and multiplicative scales. CONCLUSION In this prospective study, we found that exposure to higher residential greenness and lower concentrations of particulate matter were associated with lower risk of neurodegenerative disease, PD and AD. Residential greenness could modify the association of PM2.5 with neurodegenerative disease.
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Affiliation(s)
- Zhanghang Zhu
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Zongming Yang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Luhua Yu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Lisha Xu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Yonghao Wu
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China
| | - Xinhan Zhang
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Peng Shen
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China
| | - Hongbo Lin
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China
| | - Liming Shui
- Yinzhou District Health Bureau of Ningbo, Ningbo, 315040, China
| | - Mengling Tang
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Mingjuan Jin
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jianbing Wang
- Department of Public Health, and Department of Endocrinology of the Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children's Health, Hangzhou 310058, China.
| | - Kun Chen
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
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Mooney MA, Ryabinin P, Morton H, Selah K, Gonoud R, Kozlowski M, Nousen E, Tipsord J, Antovich D, Schwartz J, Herting MM, Faraone SV, Nigg JT. Joint polygenic and environmental risks for childhood attention-deficit/hyperactivity disorder (ADHD) and ADHD symptom dimensions. JCPP ADVANCES 2023; 3:e12152. [PMID: 37753156 PMCID: PMC10519744 DOI: 10.1002/jcv2.12152] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 02/10/2023] [Indexed: 03/18/2023] Open
Abstract
Background attention-deficit/hyperactivity disorder (ADHD) is associated with both polygenic liability and environmental exposures, both intrinsic to the family, such as family conflict, and extrinsic, such as air pollution. However, much less is known about the interplay between environmental and genetic risks relevant to ADHD-a better understanding of which could inform both mechanistic models and clinical prediction algorithms. Methods Two independent data sets, the population-based Adolescent Brain Cognitive Development Study (ABCD) (N = 11,876) and the case-control Oregon-ADHD-1000 (N = 1449), were used to examine additive (G + E) and interactive (GxE) effects of selected polygenic risk scores (PRS) and environmental factors in a cross-sectional design. Genetic risk was measured using PRS for nine mental health disorders/traits. Exposures included family income, family conflict/negative sentiment, and geocoded measures of area deprivation, lead exposure risk, and air pollution exposure (nitrogen dioxide and fine particulate matter). Results ADHD PRS and family conflict jointly predicted concurrent ADHD symptoms in both cohorts. Additive-effects models, including both genetic and environmental factors, explained significantly more variation in symptoms than any individual factor alone (joint R 2 = .091 for total symptoms in ABCD; joint R 2 = .173 in Oregon-ADHD-1000; all delta-R 2 p-values <2e-7). Significant effect size heterogeneity across ancestry groups was observed for genetic and environmental factors (e.g., Q = 9.01, p = .011 for major depressive disorder PRS; Q = 13.34, p = .001 for area deprivation). GxE interactions observed in the full ABCD cohort suggested stronger environmental effects when genetic risk is low, though they did not replicate. Conclusions Reproducible additive effects of PRS and family environment on ADHD symptoms were found, but GxE interaction effects were not replicated and appeared confounded by ancestry. Results highlight the potential value of combining exposures and PRS in clinical prediction algorithms. The observed differences in risks across ancestry groups warrant further study to avoid health care disparities.
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Affiliation(s)
- Michael A. Mooney
- Division of Bioinformatics and Computational BiologyDepartment of Medical Informatics and Clinical EpidemiologyOregon Health & Science UniversityPortlandOregonUSA
- Knight Cancer InstituteOregon Health & Science UniversityPortlandOregonUSA
| | - Peter Ryabinin
- Knight Cancer InstituteOregon Health & Science UniversityPortlandOregonUSA
| | - Hannah Morton
- Department of PsychiatryCenter for ADHD ResearchOregon Health & Science UniversityPortlandOregonUSA
| | - Katharine Selah
- Department of PsychiatryCenter for ADHD ResearchOregon Health & Science UniversityPortlandOregonUSA
| | - Rose Gonoud
- Department of PsychiatryCenter for ADHD ResearchOregon Health & Science UniversityPortlandOregonUSA
| | - Michael Kozlowski
- Department of PsychiatryCenter for ADHD ResearchOregon Health & Science UniversityPortlandOregonUSA
| | - Elizabeth Nousen
- Department of PsychiatryCenter for ADHD ResearchOregon Health & Science UniversityPortlandOregonUSA
| | - Jessica Tipsord
- Department of PsychiatryCenter for ADHD ResearchOregon Health & Science UniversityPortlandOregonUSA
| | - Dylan Antovich
- Department of PsychiatryCenter for ADHD ResearchOregon Health & Science UniversityPortlandOregonUSA
| | - Joel Schwartz
- Department of Environmental HealthHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Megan M. Herting
- Department of Population and Public Health SciencesKeck School of Medicine of the University of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of PediatricsChildren's Hospital Los AngelesLos AngelesCaliforniaUSA
| | - Stephen V. Faraone
- Department of PsychiatrySUNY Upstate Medical UniversitySyracuseNew YorkUSA
| | - Joel T. Nigg
- Department of PsychiatryCenter for ADHD ResearchOregon Health & Science UniversityPortlandOregonUSA
- Department of Behavioral NeuroscienceOregon Health & Science UniversityPortlandOregonUSA
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Grossklaus R, Liesenkötter KP, Doubek K, Völzke H, Gaertner R. Iodine Deficiency, Maternal Hypothyroxinemia and Endocrine Disrupters Affecting Fetal Brain Development: A Scoping Review. Nutrients 2023; 15:nu15102249. [PMID: 37242131 DOI: 10.3390/nu15102249] [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: 04/11/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/28/2023] Open
Abstract
This scoping review critically discusses the publications of the last 30 years on the impact of mild to moderate iodine deficiency and the additional impact of endocrine disrupters during pregnancy on embryonal/fetal brain development. An asymptomatic mild to moderate iodine deficiency and/or isolated maternal hypothyroxinemia might affect the development of the embryonal/fetal brain. There is sufficient evidence underlining the importance of an adequate iodine supply for all women of childbearing age in order to prevent negative mental and social consequences for their children. An additional threat to the thyroid hormone system is the ubiquitous exposure to endocrine disrupters, which might exacerbate the effects of iodine deficiency in pregnant women on the neurocognitive development of their offspring. Ensuring adequate iodine intake is therefore essential not only for healthy fetal and neonatal development in general, but it might also extenuate the effects of endocrine disruptors. Individual iodine supplementation of women of childbearing age living in areas with mild to moderate iodine deficiency is mandatory as long as worldwide universal salt iodization does not guarantee an adequate iodine supply. There is an urgent need for detailed strategies to identify and reduce exposure to endocrine disrupters according to the "precautional principle".
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Affiliation(s)
- Rolf Grossklaus
- Department of Food Safety, Federal Institute for Risk Assessment, D-10589 Berlin, Germany
| | | | - Klaus Doubek
- Professional Association of Gynecologists, D-80337 Munich, Germany
| | - Henry Völzke
- Study of Health in Pomerania/Clinical-Epidemiological Research, Institute for Community Medicine, University Medicine Greifswald, D-17475 Greifswald, Germany
| | - Roland Gaertner
- Medical Clinic IV, University of Munich, D-80336 Munich, Germany
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Yuan A, Halabicky O, Rao H, Liu J. Lifetime air pollution exposure, cognitive deficits, and brain imaging outcomes: A systematic review. Neurotoxicology 2023; 96:69-80. [PMID: 37001821 PMCID: PMC10963081 DOI: 10.1016/j.neuro.2023.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/21/2023] [Accepted: 03/28/2023] [Indexed: 03/31/2023]
Abstract
As the amount of air pollution and human exposure has increased, the effects on human health have become an important public health issue. A field of growing interest is how air pollution exposure affects brain structure and function underlying cognitive deficits and if structural and connectivity changes mediate the relationship between the two. We conducted a systematic review to examine the literature on air pollution, brain structure and connectivity, and cognition studies. Eleven studies matched our inclusion criteria and were included in the qualitative analysis. Results suggest significant associations between air pollution and decreased volumes of specific brain structures, cortical thickness and surface area such as in the prefrontal cortex and temporal lobe, as well as the weakening of functional connectivity pathways, largely the Default Mode (DMN) and Frontal Parietal (FPN) networks, as detected by fMRI. Associations between air pollution and cognitive outcomes were found in most of the studies (n = 9), though some studies showed stronger associations than others. For children & adolescents, these deficiencies largely involved heavy reasoning, problem solving, and logic. For young and middle-aged adults, the associations were mostly seen for executive function and visuospatial cognitive domains. To our knowledge, this is the first systematic review to consolidate findings on the associations among air pollution, brain structure, and cognitive function. In the future, it will be important to conduct further longitudinal studies that follow children who have been exposed at a young age and examine associations with brain structure and cognition throughout adulthood.
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Affiliation(s)
- Aurora Yuan
- University of Pennsylvania, College of Arts & Sciences, 249 S 36th St, Philadelphia, PA 19104, United States
| | - Olivia Halabicky
- University of Michigan, School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, United States
| | - Hengyi Rao
- University of Pennsylvania, Perelman School of Medicine, 3400 Civic Center Blvd, Philadelphia, PA 19104, United States
| | - Jianghong Liu
- University of Pennsylvania, School of Nursing, 418 Curie Blvd, Philadelphia, PA 19104, United States.
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Alhussaini AR, Aljabri MR, Al-Harbi ZT, Abdulrahman Almohammadi G, Al-Harbi TM, Bashir S. Air Pollution and Its Adverse Effects on the Central Nervous System. Cureus 2023; 15:e38927. [PMID: 37313075 PMCID: PMC10259194 DOI: 10.7759/cureus.38927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/11/2023] [Indexed: 06/15/2023] Open
Abstract
Air pollution is recognized as a significant public health problem and is associated with illnesses of the central nervous system (CNS) as well as neuroinflammation and neuropathology. Air pollution may cause chronic brain inflammation, white matter abnormalities, and microglia activation, which increases the risk of autism spectrum disorders, neurodegenerative disorders, stroke, and multiple sclerosis (MS). Methods: A literature review was done on "PubMed, EMBASE and Web of Science" on the relationship of air pollution with MS and stroke, using the keywords "air pollution" OR "pollution"; "ambient air pollution," "particulate matter, ozone, black carbon" AND "stroke" OR "cerebrovascular diseases," "multiple sclerosis," "neuroinflammation," or "neurodegeneration." Results: We first identified 128 articles and their related websites, of which 44 articles were further selected for analysis mainly based on study relevance, study quality and reliability, and date of publication. Further studies on air pollution and its adverse effects on the CNS are needed. The findings of such studies will support the development of appropriate preventive measures in the future.
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Affiliation(s)
| | | | - Zeyad T Al-Harbi
- College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, SAU
| | | | | | - Shahid Bashir
- Neuroscience, Neuroscience Center, King Fahad Specialist Hospital, Dammam, SAU
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Ulziikhuu B, Gombojav E, Banzrai C, Batsukh S, Enkhtuya E, Boldbaatar B, Bellinger DC, Lanphear BP, McCandless LC, Nepomnaschy P, Salvante K, Weinberg J, Allen RW. Who benefits most from a prenatal HEPA filter air cleaner intervention on childhood cognitive development? The UGAAR randomized controlled trial. ENVIRONMENTAL RESEARCH 2023; 231:115991. [PMID: 37121346 DOI: 10.1016/j.envres.2023.115991] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 04/05/2023] [Accepted: 04/24/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND Air pollution exposure during pregnancy affects children's brain function. Maternal stress and nutrition, socioeconomic status, and the child's sex may modify this relationship. OBJECTIVE To identify characteristics of children with the largest increases in full-scale IQ (FSIQ) after their mothers used HEPA filter air cleaners during pregnancy. METHODS In this randomized controlled trial we randomly assigned women to receive 1-2 air cleaners or no air cleaners during pregnancy. We analyzed maternal hair samples for cortisol and dehydroepiandrosterone (DHEA). When the children were 48 months old, we measured FSIQ with the Wechsler Preschool and Primary Scale of Intelligence. We evaluated ten potential modifiers of the intervention-FSIQ relationship using interaction terms in separate regression models. To account for correlations between modifiers, we also used a single regression model containing main effects and intervention x modifier terms for all potential modifiers. RESULTS Among 242 mother-child dyads with complete data, the intervention was associated with a 2.3-point increase (95% CI: -1.5, 6.0 points) in mean FSIQ. The intervention improved mean FSIQ among children of mothers in the bottom (5.4 points; 95% CI: -0.8, 11.5) and top (6.1 points; 95% CI: 0.5, 11.8) cortisol tertiles, but not among those whose mothers were in the middle tertile. The largest between-group difference in the intervention's effect was a 7.5-point (95% CI: -0.7, 15.7) larger increase in mean FSIQ among children whose mothers did not take vitamins than among children whose mothers did take vitamins (interaction p-value = 0.07). We also observed larger benefits among children whose mothers did not complete university, and those with lower hair DHEA concentrations, hair cortisol concentrations outside the middle tertile, or more perceived stress. CONCLUSION The benefits of reducing air pollution during pregnancy on brain development may be greatest for children whose mothers who do not take vitamins, experience more stress, or have less education.
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Affiliation(s)
| | | | | | - Sarangerel Batsukh
- Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | - Enkhtuul Enkhtuya
- Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia
| | | | | | | | | | | | | | - Joanne Weinberg
- University of British Columbia, Faculty of Medicine, Vancouver, BC, Canada
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Koshko L, Scofield S, Debarba L, Stilgenbauer L, Fakhoury P, Jayarathne H, Perez-Mojica JE, Griggs E, Lempradl A, Sadagurski M. Prenatal benzene exposure in mice alters offspring hypothalamic development predisposing to metabolic disease in later life. CHEMOSPHERE 2023; 330:138738. [PMID: 37084897 DOI: 10.1016/j.chemosphere.2023.138738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 04/10/2023] [Accepted: 04/18/2023] [Indexed: 05/03/2023]
Abstract
Maternal exposure to environmental contaminants during pregnancy poses a significant threat to a developing fetus, as these substances can easily cross the placenta and disrupt the neurodevelopment of offspring. Specifically, the hypothalamus is essential in the regulation of metabolism, notably during critical windows of development. An abnormal hormonal and inflammatory milieu during development can trigger persistent changes in the function of hypothalamic circuits, leading to long-lasting effects on the body's energy homeostasis and metabolism. We recently demonstrated that gestational exposure to clinically relevant levels of benzene induces severe metabolic dysregulation in the offspring. Given the central role of the hypothalamus in metabolic control, we hypothesized that prenatal exposure to benzene impacts hypothalamic development, contributing to the adverse metabolic effects in the offspring. C57BL/6JB dams were exposed to benzene at 50 ppm in the inhalation chambers exclusively during pregnancy (from E0.5 to E19). Transcriptomic analysis of the exposed offspring at postnatal day 21 (P21) revealed hypothalamic changes in genes related to metabolic regulation, inflammation, and neurodevelopment exclusively in males. Moreover, the hypothalamus of prenatally benzene-exposed male offspring displayed alterations in orexigenic and anorexigenic projections, impairments in leptin signaling, and increased microgliosis. Additional exposure to benzene during lactation did not promote further microgliosis or astrogliosis in the offspring, while the high-fat diet (HFD) challenge in adulthood exacerbated glucose metabolism and hypothalamic inflammation in benzene-exposed offspring of both sexes. These findings reveal the persistent adverse effects of prenatal benzene exposure on hypothalamic circuits and neuroinflammation, predisposing the offspring to long-lasting metabolic health conditions.
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Affiliation(s)
- Lisa Koshko
- Department of Biological Sciences, Institute of Environmental Health Sciences, Integrative Biosciences Center (IBio), Wayne State University, Detroit, MI, USA
| | - Sydney Scofield
- Department of Biological Sciences, Institute of Environmental Health Sciences, Integrative Biosciences Center (IBio), Wayne State University, Detroit, MI, USA
| | - Lucas Debarba
- Department of Biological Sciences, Institute of Environmental Health Sciences, Integrative Biosciences Center (IBio), Wayne State University, Detroit, MI, USA
| | - Lukas Stilgenbauer
- Department of Biological Sciences, Institute of Environmental Health Sciences, Integrative Biosciences Center (IBio), Wayne State University, Detroit, MI, USA
| | - Patrick Fakhoury
- Department of Biological Sciences, Institute of Environmental Health Sciences, Integrative Biosciences Center (IBio), Wayne State University, Detroit, MI, USA
| | - Hashan Jayarathne
- Department of Biological Sciences, Institute of Environmental Health Sciences, Integrative Biosciences Center (IBio), Wayne State University, Detroit, MI, USA
| | | | - Ellen Griggs
- Van Andel Research Institute, Grand Rapids, MI, USA
| | | | - Marianna Sadagurski
- Department of Biological Sciences, Institute of Environmental Health Sciences, Integrative Biosciences Center (IBio), Wayne State University, Detroit, MI, USA.
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Yang Z, Qi Y, Song Q, Zhang Y. Association between exposure to air pollution and memory: the mediating effect of health. J Public Health (Oxf) 2023. [DOI: 10.1007/s10389-023-01875-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023] Open
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30
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Tang HT, Zhang YP, Zhao S, Song C. Common mechanisms involved in lung cancer and depression: The dominant role of interleukin-6-IDO pathway in the lung-brain axis. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2023. [DOI: 10.1016/j.jadr.2023.100580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023] Open
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31
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Chang YT, Jung CR, Chang YC, Chuang BR, Chen ML, Hwang BF. Prenatal and postnatal exposure to PM 2 .5 and the risk of tic disorders. Paediatr Perinat Epidemiol 2023; 37:191-200. [PMID: 36562434 DOI: 10.1111/ppe.12943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 11/08/2022] [Accepted: 11/09/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Tic disorders are common neurodevelopmental disorders during childhood. Whether prenatal and postnatal exposure to particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5 ) plays a role in the development of tic disorders remains unexplored. OBJECTIVES To investigate the association of exposure between PM2.5 during the pregnancy and infancy periods and the risk of tic disorders. METHODS This birth cohort study recruited singleton live births at term gestations in central Taiwan from the Taiwan Maternal and Child Health Database between 2004 and 2012 and followed up to the end of 2017. New cases of tic disorders were defined using the ICD-9-CM (307.2) and ICD-10-CM (F95), which include all tic spectrum disorders. We assigned daily PM2.5 concentrations derived from a satellite-based model to individuals based on maternal residential addresses at delivery. We fit Cox proportional hazard model and distributed lag non-linear model to estimate the associations between PM2.5 and tic disorders, with hazard ratio (HR) with 95% confidence interval (CI) as the effect measure. RESULTS Of the 309,376 singleton live births at term gestations, we identified 5902 (1.9%) tic disorder cases. The HR of tic disorders was positively associated with a 10 μg/m3 increase in PM2.5 : during pregnancy HR 1.09, 95% CI 1.04, 1.15 and during infancy HR 1.12, 95% CI 1.06, 1.18. The vulnerable time window for infants with increased risk of tic disorders was 6-52 weeks after birth. We observed a nonlinear relationship between PM2.5 and the risk of tic disorders, with exposure to PM2.5 between 16 and 64 μg/m3 being associated with the risk of tic disorders. The association was restricted to Tourette's disorder group. Infant sex did not modify these associations. CONCLUSIONS Infants delivered at term and exposed to PM2.5 are associated with an increased risk of tic disorders (6-52 weeks). Further studies are needed to confirm these associations.
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Affiliation(s)
- Yu-Tzu Chang
- Division of Pediatric Neurology, China Medical University Children's Hospital, Taichung, Taiwan R.O.C
- School of Post Baccalaureate Chinese Medicine, China Medical University, Taichung, Taiwan R.O.C
| | - Chau-Ren Jung
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan R.O.C
- Japan Environment and Children's Study Programme Office, National Institute for Environmental Studies, Tsukuba, Japan
| | - Ya-Chu Chang
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan R.O.C
| | - Bao-Ru Chuang
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan R.O.C
| | - Mei-Ling Chen
- College of Human Science and Social Innovation, HungKuang University, Taichung, Taiwan R.O.C
| | - Bing-Fang Hwang
- Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan R.O.C
- Department of Occupational Therapy, College of Medical and Health Science, Asia University, Taichung, Taiwan R.O.C
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Wyatt LH, Cleland SE, Wei L, Paul N, Patil A, Ward-Caviness C, Henderson SB, Rappold AG. Long-term exposure to ambient O 3 and PM 2.5 is associated with reduced cognitive performance in young adults: A retrospective longitudinal repeated measures study in adults aged 18-90 years. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 320:121085. [PMID: 36642175 DOI: 10.1016/j.envpol.2023.121085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 06/17/2023]
Abstract
A growing body of evidence indicates that exposure to air pollution affects cognitive performance; however, few studies have assessed this in the context of repeated measures within a large group of individuals or in a population with a large age range. In this study, we evaluated the associations between long-term exposure to fine particulate matter (PM2.5) and ozone (O3) in large cohort of adults aged 18-90 years. The study cohort included 29,091 Lumosity users in the contiguous US who completed 20 repetitions of the Lost in Migration game between 2017 and 2018. Game scores reflect the ability to filter information and avoid distracting information. Long-term air pollution data included ambient PM2.5 and O3 averaged for the 365-day period before each gameplay date. Generalized linear models were used to examine the associations between long-term PM2.5 and O3 and game score percentile. Co-pollutant models were adjusted for meteorology, time trend, age, gender, device, education, local socioeconomic factors, and urbanicity. Results represent the change in attention game score percentile per 1 μg/m3 increase in PM2.5 or 0.01 ppm increase in O3. In the entire cohort, a -0.10 (95% CI: -0.16, -0.04) change in score percentile was associated with PM2.5, while no significant association was observed with O3. Modification of these associations by age was observed for both PM2.5 and O3, with stronger associations observed in younger users. In users aged 18-29, a -0.25 (-0.45, -0.05) change in score percentile was associated with PM2.5, while no associations were observed in other age groups. With O3, there was a -2.92 (-4.63, -1.19) and -2.81 (-4.29, -1.25) change in score percentile for users aged 18-29 and 30-39, respectively. We observed that elevated long-term PM2.5 and O3 were associated with decreased focus scores in young adults, but follow-up research is necessary to further illuminate these associations.
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Affiliation(s)
- Lauren H Wyatt
- Center for Public Health and Environmental Assessment, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Stephanie E Cleland
- Oak Ridge Institute for Science and Education at the Center for Public Health and Environmental Assessment, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA; Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Linda Wei
- Center for Public Health and Environmental Assessment, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Naman Paul
- British Columbia Centre for Disease Control, Vancouver, BC, Canada
| | - Amrita Patil
- Center for Public Health and Environmental Assessment, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Cavin Ward-Caviness
- Center for Public Health and Environmental Assessment, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | | | - Ana G Rappold
- Center for Public Health and Environmental Assessment, Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA.
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Lamorie‐Foote K, Liu Q, Shkirkova K, Ge B, He S, Morgan TE, Mack WJ, Sioutas C, Finch CE, Mack WJ. Particulate matter exposure and chronic cerebral hypoperfusion promote oxidative stress and induce neuronal and oligodendrocyte apoptosis in male mice. J Neurosci Res 2023; 101:384-402. [PMID: 36464774 PMCID: PMC10107949 DOI: 10.1002/jnr.25153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 10/16/2022] [Accepted: 11/21/2022] [Indexed: 12/12/2022]
Abstract
Chronic cerebral hypoperfusion (CCH) may amplify the neurotoxicity of nanoscale particulate matter (nPM), resulting in white matter injury. This study characterized the joint effects of nPM (diameter ≤ 200 nm) and CCH secondary to bilateral carotid artery stenosis (BCAS) exposure on neuronal and white matter injury in a murine model. nPM was collected near a highway and re-aerosolized for exposure. Ten-week-old C57BL/6 male mice were randomized into four groups: filtered air (FA), nPM, FA + BCAS, and nPM + BCAS. Mice were exposed to FA or nPM for 10 weeks. BCAS surgeries were performed. Markers of inflammation, oxidative stress, and apoptosis were examined. nPM + BCAS exposure increased brain hemisphere TNFα protein compared to FA. iNOS and HNE immunofluorescence were increased in the corpus callosum and cerebral cortex of nPM + BCAS mice compared to FA. While nPM exposure alone did not decrease cortical neuronal cell count, nPM decreased corpus callosum oligodendrocyte cell count. nPM exposure decreased mature oligodendrocyte cell count and increased oligodendrocyte precursor cell count in the corpus callosum. nPM + BCAS mice exhibited a 200% increase in cortical neuronal TUNEL staining and a 700% increase in corpus callosum oligodendrocyte TUNEL staining compared to FA. There was a supra-additive interaction between nPM and BCAS on cortical neuronal TUNEL staining (2.6× the additive effects of nPM + BCAS). nPM + BCAS exposure increased apoptosis, neuroinflammation, and oxidative stress in the cerebral cortex and corpus callosum. nPM + BCAS exposure increased neuronal apoptosis above the separate responses to each exposure. However, oligodendrocytes in the corpus callosum demonstrated a greater susceptibility to the combined neurotoxic effects of nPM + BCAS exposure.
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Affiliation(s)
- Krista Lamorie‐Foote
- Zilkha Neurogenetic InstituteUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Neurological Surgery, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Qinghai Liu
- Zilkha Neurogenetic InstituteUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Kristina Shkirkova
- Zilkha Neurogenetic InstituteUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Brandon Ge
- Zilkha Neurogenetic InstituteUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Shannon He
- Zilkha Neurogenetic InstituteUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Todd E. Morgan
- Leonard Davis School of GerontologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Wendy J. Mack
- Department of Population and Public Health SciencesUniversity of Southern California, Keck School of MedicineLos AngelesCaliforniaUSA
| | - Constantinos Sioutas
- Department of Civil and Environmental Engineering, Viterbi School of EngineeringUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Caleb E. Finch
- Leonard Davis School of GerontologyUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - William J. Mack
- Zilkha Neurogenetic InstituteUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Neurological Surgery, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
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Gong Y, Zhang X, Zhao X, Chang H, Zhang J, Gao Z, Mi Y, Chen Y, Zhang H, Huang C, Yu Z. Global ambient particulate matter pollution and neurodegenerative disorders: a systematic review of literature and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:39418-39430. [PMID: 36763275 DOI: 10.1007/s11356-023-25731-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 02/01/2023] [Indexed: 02/11/2023]
Abstract
Previous studies on particulate matter (PM) exposure and neurodegenerative disorders showed inconsistent results, and few studies systematically examined the long-term effect of PM on neurodegenerative diseases, including all-cause dementia, Alzheimer's disease, Parkinson's disease, vascular dementia, amyotrophic lateral sclerosis, and cognitive function decline. We systematically searched for published studies in PubMed, Embase, Cochrane Library, and Web of Science up to October 31, 2022. To facilitate a comparison of effect sizes from different studies, we standardized units across studies to a 10 μg/m3 increase for PM. Heterogeneity was assessed by Cochran's Q test and I2 statistic. Publication bias was evaluated using funnel plots and Egger's tests. Subgroup analysis, meta-regression, and sensitivity analysis were performed. The protocol for this review was registered with PROSPERO (CRD42021277112). Of the 3403 originally identified studies, a meta-analysis was finally performed in 49 studies. The results showed that there was a significant positive association between long-term PM2.5 exposure and all-cause dementia, Alzheimer's disease as well as Parkinson's disease, with pooled OR of 1.30 (95%CI: 1.14, 1.47, I2 = 99.3%), 1.65 (95%CI: 1.37, 1.94, I2 = 98.2%), and 1.17 (95%CI: 1.00, 1.33, I2 = 91.8%). A positive association between PM10 and vascular dementia was observed (OR = 1.12, 95%CI: 1.04, 1.21, I2 = 0.0%). Association between PM exposure and decreased cognitive function score was found. Our results highlight the important role of PM pollution, particularly PM2.5, in the risk of age-related neurodegenerative diseases and cognitive function decline.
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Affiliation(s)
- Yuting Gong
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Xiaoan Zhang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Zhao
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hui Chang
- The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junxi Zhang
- NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
| | - Zhan Gao
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yang Mi
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yao Chen
- The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huanhuan Zhang
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Zengli Yu
- School of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.,NHC Key Laboratory of Birth Defects Prevention & Henan Key Laboratory of Population Defects Prevention, Zhengzhou, China
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Bougea A, Papagiannakis N, Simitsi AM, Panagiotounakou E, Chrysovitsanou C, Angelopoulou E, Koros C, Stefanis L. Ambiental Factors in Parkinson's Disease Progression: A Systematic Review. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59020294. [PMID: 36837495 PMCID: PMC9962232 DOI: 10.3390/medicina59020294] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 02/09/2023]
Abstract
Background and Objectives: So far, there is little evidence of the ambient effect on motor and non-motor symptoms of Parkinson's Disease (PD). This systematic review aimed to determine the association between ambiental factors and the progression of PD. Materials and Methods: A systematic literature search of PubMed, Cochrane, Embase, and Web of Science was conducted up to 21 December 2021 according the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: Eight articles were used in the analyses. Long-term exposure to fine particles (particulate matter ≤ 2.5 μm; PM2.5) was positively associated with disease aggravation in two studies. Short-term PM2.5 exposure was positively associated with disease aggravation in three studies. Significant associations were found between PD aggravation and NO2, SO2, CO, nitrate and organic matter (OM) concentrations in two studies. Associations were more pronounced, without reaching statistical significance however, in women, patients over 65 years old and cold temperatures. A 1% increase in temperature was associated with a significant 0.18% increase in Levodopa Equivalent Dose (LED). Ultraviolet light and humidity were not significantly associated with an increase in LED. There was no difference in hallucination severity with changing seasons. There was no evidence for seasonal fluctuation in Unified Parkinson's Disease Rating Scale (UPDRS) scores. Conclusions: There is a link between air pollutants and temperature for PD progression, but this has yet to be proven. More longitudinal studies are warranted to confirm these findings.
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Wang M, Zhou XHA, Curl C, Fitzpatrick A, Vedal S, Kaufman J. Long-term exposure to ambient air pollution and cognitive function in older US adults: The Multi-Ethnic Study of Atherosclerosis. Environ Epidemiol 2023; 7:e242. [PMID: 36777527 PMCID: PMC9916093 DOI: 10.1097/ee9.0000000000000242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 01/05/2023] [Indexed: 02/10/2023] Open
Abstract
Air pollution effects on cognitive function have been increasingly recognized. Little is known about the impact of different sources of fine particulate (PM2.5). We aim to evaluate the associations between long-term air pollution exposure, including source-specific components in PM2.5, and cognition in older adults. Methods Cognitive assessment, including the Cognitive Abilities Screening Instrument (CASI), Digit Symbol Coding (DSC), and Digit Span (DS), was completed in 4392 older participants in the United States during 2010-2012. Residence-specific air pollution exposures (i.e., oxides of nitrogen [NO2/NOx], PM2.5 and its components: elemental carbon [EC], organic carbon [OC], sulfur [S], and silicon [Si]) were estimated by geo-statistical models. Linear and logistic regression models were used to estimate the associations between each air pollutants metric and cognitive function. Results An interquartile range (IQR) increase in EC (0.8 μg/m3) and Si (23.1 ng/m3) was associated with -1.27 (95% confidence interval [CI]: -0.09, -2.45) and -0.88 (95% CI: -0.21, -1.54) lower CASI scores in global cognitive function. For each IQR increase in Si, the odds of low cognitive function (LCF) across domains was 1.29 times higher (95% CI: 1.04, 1.60). For other tests, NO X was associated with slower processing speed (DSC: -2.01, 95% CI: -3.50, -0.52) and worse working memory (total DS: -0.4, 95% CI: -0.78, -0.01). No associations were found for PM2.5 and two PM2.5 components (OC and S) with any cognitive function outcomes. Conclusion Higher exposure to traffic-related air pollutants including both tailpipe (EC and NO x ) and non-tailpipe (Si) species were associated with lower cognitive function in older adults.
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Affiliation(s)
- Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington
| | - Xiao-Hua Andrew Zhou
- Department of Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Cynthia Curl
- School of Public and Population Health, Boise State University, Boise, Idaho
| | - Annette Fitzpatrick
- Department of Family Medicine, School of Public Health, University of Washington, Seattle, Washington
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
- Department of Global Health, School of Public Health, University of Washington, Seattle, Washington
| | - Sverre Vedal
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington
| | - Joel Kaufman
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
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Semmens EO, Leary CS, Fitzpatrick AL, Ilango SD, Park C, Adam CE, DeKosky ST, Lopez O, Hajat A, Kaufman JD. Air pollution and dementia in older adults in the Ginkgo Evaluation of Memory Study. Alzheimers Dement 2023; 19:549-559. [PMID: 35436383 PMCID: PMC9576823 DOI: 10.1002/alz.12654] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 02/13/2022] [Accepted: 02/17/2022] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Growing evidence implicates air pollution as a risk factor for dementia, but prior work is limited by challenges in diagnostic accuracy and assessing exposures in the decades prior to disease development. We evaluated the impact of long-term fine particulate matter (PM2.5 ) exposures on incident dementia (all-cause, Alzheimer's disease [AD], and vascular dementia [VaD]) in older adults. METHODS A panel of neurologists adjudicated dementia cases based on extensive neuropsychological testing and magnetic resonance imaging. We applied validated fine-scale air pollutant models to reconstructed residential histories to assess exposures. RESULTS An interquartile range increase in 20-year PM2.5 was associated with a 20% higher risk of dementia (95% confidence interval [CI]: 5%, 37%) and an increased risk of mixed VaD/AD but not AD alone. DISCUSSION Our findings suggest that air pollutant exposures over decades contribute to dementia and that effects of current exposures may be experienced years into the future.
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Affiliation(s)
- Erin O. Semmens
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA
| | - Cindy S. Leary
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA
| | - Annette L. Fitzpatrick
- Departments of Family Medicine and Global Health, University of Washington, Seattle, Washington, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Sindana D. Ilango
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Christina Park
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Claire E. Adam
- Center for Population Health Research, School of Public and Community Health Sciences, University of Montana, Missoula, Montana, USA
| | - Steven T. DeKosky
- Department of Neurology and McKnight Brain Institute, University of Florida, Gainesville, Florida, USA
| | - Oscar Lopez
- Department of Neurology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Anjum Hajat
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Joel D. Kaufman
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
- Departments of Environmental and Occupational Health Sciences and Medicine, School of Public Health, University of Washington, Seattle, Washington, USA
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Pu F, Hu Y, Li C, Cao X, Yang Z, Liu Y, Zhang J, Li X, Yang Y, Wang W, Liu X, Hu K, Ma Y, Liu Z. Association of solid fuel use with a risk score capturing dementia risk among middle-aged and older adults: A prospective cohort study. ENVIRONMENTAL RESEARCH 2023; 218:115022. [PMID: 36502898 DOI: 10.1016/j.envres.2022.115022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/17/2022] [Accepted: 12/07/2022] [Indexed: 06/17/2023]
Abstract
OBJECTIVES Whether household air pollution is associated with dementia risk remains unknown. This study examined the associations between solid fuel use for cooking and heating (the main source of household air pollution) and dementia risk. METHODS This analysis included data on 11,352 participants (aged 45+ years) from the 2011 wave of China Health and Retirement Longitudinal Study, with follow-up to 2018. Dementia risk was assessed by a risk score using the Rotterdam Study Basic Dementia Risk Model (BDRM), which was subsequently standardized for analysis. Household fuel types of cooking and heating were categorized as solid (e.g., coal and crop residue) and clean (e.g., central heating and solar). Multivariable analyses were performed using generalized estimating equations. Moreover, we examined the joint associations of solid fuel use for cooking and heating with the BDRM score. RESULTS After adjusting for potential confounders, we found an independent and significant association of solid (vs. clean) fuel use for cooking and heating with a higher BDRM score (e.g., β = 0.17 for solid fuel for cooking; 95% confidence interval [CI]: 0.15-0.19). Participants who used solid (vs. clean) fuel for both cooking and heating had the highest BDRM score (β = 0.32; 95% CI: 0.29-0.36). Subgroup analysis suggested stronger associations in participants living in rural areas. CONCLUSIONS Solid fuel use for cooking and heating was independently associated with increased dementia risk in Chinese middle-aged and older adults, particularly among those living in rural areas. Our findings call for more efforts to facilitate universal access to clean energy for dementia prevention.
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Affiliation(s)
- Fan Pu
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Yingying Hu
- School of Public Affairs, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Chenxi Li
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Xingqi Cao
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Zhenqing Yang
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Yi Liu
- Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Jingyun Zhang
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Xueqin Li
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Yongli Yang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Wei Wang
- Department of Occupational Health and Occupational Disease, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Xiaoting Liu
- School of Public Affairs, Zhejiang University, Hangzhou, 310058, Zhejiang, China; Institute of Wenzhou, Zhejiang University, Hangzhou, Zhejiang, China
| | - Kejia Hu
- Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Yanan Ma
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China
| | - Zuyun Liu
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China.
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Vastegani SM, Hajipour S, Sarkaki A, Basir Z, Farbood Y, Bavarsad K, Khoshnam SE. Curcumin Ameliorates Neurobehavioral Deficits in Ambient Dusty Particulate Matter-Exposure Rats: The Role of Oxidative Stress. Neurochem Res 2023; 48:1798-1810. [PMID: 36708454 DOI: 10.1007/s11064-023-03877-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 01/29/2023]
Abstract
It has been consistently found that exposure to ambient air pollution, such as particulate matter (PM), results in cognitive impairments and mental disorders. This study aimed to investigate the possible neuroprotective effects of curcumin, a polyphenol compound, on the neurobehavioral deficits and to identify the role of oxidative stress in dusty PM exposure rats. Rats received curcumin (50 mg/kg, daily, gavage, 2 weeks) 30 min before placing animals in a clean air chamber (≤ 150 µg/m3, 60 min daily, 2 weeks) or ambient dusty PM chamber (2000-8000 µg/m3, 60 min daily, 2 weeks). Subsequently, the cognitive and non-cognitive functions of the animals were evaluated using standard behavioral tests. Moreover, blood-brain barrier (BBB) permeability, brain water content (BWC), oxidative-antioxidative status, and histological changes were determined in the cerebral cortex and hippocampal areas of the rats. Our results showed that curcumin administration in dusty PM exposure rats attenuates memory impairment, decreases anxiety-/depression-like behaviors, and improves locomotor/exploratory activities. These findings were accompanied by reduced BBB permeability and BWC, decreasing oxidative stress, and lessening neuronal loss in the cerebral cortex and different hippocampal areas. The results of this study suggest that curcumin's antioxidant properties may contribute to its efficacy in improving neurobehavioral deficits and preventing neuronal loss associated with dusty PM exposure.
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Affiliation(s)
- Sadegh Moradi Vastegani
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Somayeh Hajipour
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Alireza Sarkaki
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Zahra Basir
- Department of Basic Sciences, Faculty of Veterinary Medicine, Shahid Chamran University of Ahvaz, Ahvaz, Iran
| | - Yaghoob Farbood
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Kowsar Bavarsad
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Seyed Esmaeil Khoshnam
- Persian Gulf Physiology Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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Koshko L, Scofield S, Debarba L, Stilgenbauer L, Sacla M, Fakhoury P, Jayarathne H, Perez-Mojica JE, Griggs E, Lempradl A, Sadagurski M. Prenatal benzene exposure alters offspring hypothalamic development predisposing to metabolic disease in later life. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.05.522910. [PMID: 36711607 PMCID: PMC9881982 DOI: 10.1101/2023.01.05.522910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The hypothalamus is essential in the regulation of metabolism, notably during critical windows of development. An abnormal hormonal and inflammatory milieu during development can trigger persistent changes in the function of hypothalamic circuits, leading to long-lasting effects on the body’s energy homeostasis and metabolism. We recently demonstrated that gestational exposure to benzene at smoking levels induces severe metabolic dysregulation in the offspring. Given the central role of the hypothalamus in metabolic control, we hypothesized that prenatal exposure to benzene impacts hypothalamic development, contributing to the adverse metabolic effects in the offspring. C57BL/6JB dams were exposed to benzene in the inhalation chambers exclusively during pregnancy (from E0.5 to E19). The transcriptome analysis of the offspring hypothalamus at postnatal day 21 (P21) revealed changes in genes related to metabolic regulation, inflammation, and neurodevelopment exclusively in benzene-exposed male offspring. Moreover, the hypothalamus of prenatally benzene-exposed male offspring displayed alterations in orexigenic and anorexigenic projections, impairments in leptin signaling, and increased microgliosis. Additional exposure to benzene during lactation did not promote further microgliosis or astrogliosis in the offspring, while the high-fat diet (HFD) challenge in adulthood exacerbated glucose metabolism and hypothalamic inflammation in benzene-exposed offspring of both sexes. These findings reveal the persistent impact of prenatal benzene exposure on hypothalamic circuits and neuroinflammation, predisposing the offspring to long-lasting metabolic health conditions.
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Rahman MM, Carter SA, Lin JC, Chow T, Yu X, Martinez MP, Levitt P, Chen Z, Chen JC, Rud D, Lewinger JP, Eckel SP, Schwartz J, Lurmann FW, Kleeman MJ, McConnell R, Xiang AH. Prenatal exposure to tailpipe and non-tailpipe tracers of particulate matter pollution and autism spectrum disorders. ENVIRONMENT INTERNATIONAL 2023; 171:107736. [PMID: 36623380 PMCID: PMC9943058 DOI: 10.1016/j.envint.2023.107736] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 12/08/2022] [Accepted: 01/04/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Traffic-related air pollution exposure is associated with increased risk of autism spectrum disorder (ASD). It is unknown whether carbonaceous material from vehicular tailpipe emissions or redox-active non-tailpipe metals, eg. from tire and brake wear, are responsible. We assessed ASD associations with fine particulate matter (PM2.5) tracers of tailpipe (elemental carbon [EC] and organic carbon [OC]) and non-tailpipe (copper [Cu]; iron [Fe] and manganese [Mn]) sources during pregnancy in a large cohort. METHODS This retrospective cohort study included 318,750 children born in Kaiser Permanente Southern California (KPSC) hospitals during 2001-2014, followed until age 5. ASD cases were identified by ICD codes. Monthly estimates of PM2.5 and PM2.5 constituents EC, OC, Cu, Fe, and Mn with 4 km spatial resolution were obtained from a source-oriented chemical transport model. These exposures and NO2 were assigned to each maternal address during pregnancy, and associations with ASD were assessed using Cox regression models adjusted for covariates. PM constituent effect estimates were adjusted for PM2.5 and NO2 to assess independent effects. To distinguish ASD risk associated with non-tailpipe from tailpipe sources, the associations with Cu, Fe, and Mn were adjusted for EC and OC, and vice versa. RESULTS There were 4559 children diagnosed with ASD. In single-pollutant models, increased ASD risk was associated with gestational exposures to tracers of both tailpipe and non-tailpipe emissions. The ASD hazard ratios (HRs) per inter-quartile increment of exposure) for EC, OC, Cu, Fe, and Mn were 1.11 (95% CI: 1.06-1.16), 1.09 (95% CI: 1.04-1.15), 1.09 (95% CI: 1.04-1.13), 1.14 (95% CI: 1.09-1.20), and 1.17 (95% CI: 1.12-1.22), respectively. Estimated effects of Cu, Fe, and Mn (reflecting non-tailpipe sources) were largely unchanged in two-pollutant models adjusting for PM2.5, NO2, EC or OC. In contrast, ASD associations with EC and OC were markedly attenuated by adjustment for non-tailpipe sources. CONCLUSION Results suggest that non-tailpipe emissions may contribute to ASD. Implications are that reducing tailpipe emissions, especially from vehicles with internal combustion engines, may not eliminate ASD associations with traffic-related air pollution.
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Affiliation(s)
- Md Mostafijur Rahman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sarah A Carter
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Jane C Lin
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Ting Chow
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Xin Yu
- Spatial Science Institute, University of Southern California, Los Angeles, CA, USA
| | - Mayra P Martinez
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Pat Levitt
- Department of Pediatrics, Keck School of Medicine, Program in Developmental Neuroscience and Neurogenetics, The Saban Research Institute, Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Daniel Rud
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Juan Pablo Lewinger
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Michael J Kleeman
- Department of Civil and Environmental Engineering, University of California, Davis, Davis, CA, USA
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Anny H Xiang
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
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Liang M, Min M, Ye P, Duan L, Sun Y. Are there joint effects of different air pollutants and meteorological factors on mental disorders? A machine learning approach. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:6818-6827. [PMID: 36008583 DOI: 10.1007/s11356-022-22662-0] [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: 06/09/2022] [Accepted: 08/18/2022] [Indexed: 06/15/2023]
Abstract
Exposure to air pollutants is considered to be associated with mental disorders (MD). Few studies have addressed joint effect of multiple air pollutants and meteorological factors on admissions of MD. We examined the association between multiple air pollutants (PM2.5, PM10, O3, SO2, and NO2), meteorological factors (temperature, precipitation, relative humidity, and sunshine time), and MD risk in Yancheng, China. Associations were estimated by a generalized linear regression model (GLM) adjusting for time trend, day of the week, and patients' average age. Empirical weights of environmental exposures were judged by a weighted quantile sum (WQS) model. A machine learning approach, Bayesian kernel machine regression (BKMR), was used to assess the overall effect of mixed exposures. We calculated excess risk (ER) and 95% confidence interval (CI) for each exposure. According to the effect of temperature on MD, we divided the exposure of all factors into different temperature groups. In the high temperature group, GLM found that for every 10 μg/m3 increase in O3, PM2.5 and PM10 exposure, the ERs were 1.926 (95%CI 0.345, 3.531), 1.038 (95%CI 0.024, 2.062), and 0.780 (95% CI 0.052, 1.512) after adjusting for covariates. Temperature, relative humidity, and sunshine time also reported significant results. The WQS identified O3 and temperature (above the threshold) had the highest weights among air pollutants and meteorological factors. BKMR found a significant positive association between mixed exposure and MD risks. In the low temperature group, only O3 and temperature (below the threshold) showed significant results. These findings provide policymakers and practitioners with important scientific evidence for possible interventions. The association between different exposures and MD risk warrants further study.
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Affiliation(s)
- Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Min Min
- Anhui Institute of Medical Information (Anhui Medical Association), Hefei, 230061, Anhui, China
| | - Pengpeng Ye
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Leilei Duan
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
- Chaohu Hospital, Anhui Medical University, Hefei, 238000, Anhui, China.
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Essers E, Binter AC, Neumann A, White T, Alemany S, Guxens M. Air pollution exposure during pregnancy and childhood, APOE ε4 status and Alzheimer polygenic risk score, and brain structural morphology in preadolescents. ENVIRONMENTAL RESEARCH 2023; 216:114595. [PMID: 36257450 DOI: 10.1016/j.envres.2022.114595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 09/27/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Air pollution exposure is associated with impaired neurodevelopment, altered structural brain morphology in children, and neurodegenerative disorders. Differential susceptibility to air pollution may be influenced by genetic features. OBJECTIVES To evaluate whether the apolipoprotein E (APOE) genotype or the polygenic risk score (PRS) for Alzheimer's Disease (AD) modify the association between air pollution exposure during pregnancy and childhood and structural brain morphology in preadolescents. METHODS We included 1186 children from the Generation R Study. Concentrations of fourteen air pollutants were calculated at participants' home addresses during pregnancy and childhood using land-use-regression models. Structural brain images were collected at age 9-12 years to assess cortical and subcortical brain volumes. APOE status and PRS for AD were examined as genetic modifiers. Linear regression models were used to conduct single-pollutant and multi-pollutant (using the Deletion/Substitution/Addition algorithm) analyses with a two-way interaction between air pollution and each genetic modifier. RESULTS Higher pregnancy coarse particulate matter (PMcoarse) and childhood polycyclic aromatic hydrocarbons exposure was differentially associated with larger cerebral white matter volume in APOE ε4 carriers compared to non-carriers (29,485 mm3 (95% CI 6,189; 52,781) and 18,663 mm3 (469; 36,856), respectively). Higher pregnancy PMcoarse exposure was differentially associated with larger cortical grey matter volume in children with higher compared to lower PRS for AD (19436 mm3 (825, 38,046)). DISCUSSION APOE status and PRS for AD possibly modify the association between air pollution exposure and brain structural morphology in preadolescents. Higher air pollution exposure is associated with larger cortical volumes in APOE ε4 carriers and children with a high PRS for AD. This is in line with typical brain development, suggesting an antagonistic pleiotropic effect of these genetic features (i.e., protective effect in early-life, but neurodegenerative effect in adulthood). However, we cannot discard chance findings. Future studies should evaluate trajectorial brain development using a longitudinal design.
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Affiliation(s)
- Esmée Essers
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands.
| | - Anne-Claire Binter
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain.
| | - Alexander Neumann
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands; Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
| | - Tonya White
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus Medical Centre, Rotterdam, the Netherlands.
| | - Silvia Alemany
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health, and Addiction, Vall d'Hebron Research Institute, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Centre, Rotterdam, the Netherlands.
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Chen YC, Gui ZH, Bao WW, Liang JH, Zhang SX, Zhao Y, Jiang N, Chen YJ. Chronic exposure to indoor air pollutants in association with attention-deficit/hyperactivity disorder symptoms in Chinese schoolchildren: A cross-sectional study. Neurotoxicology 2023; 94:182-190. [PMID: 36509211 DOI: 10.1016/j.neuro.2022.12.003] [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: 08/05/2022] [Revised: 11/17/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND While increasing studies confirmed the adverse effects of indoor air pollution (IAP) on cardiopulmonary systems, less is known about the impact of IAP on child's brain. OBJECTIVE To explore the associations between multiple indoor air pollutants exposures and attention-deficit/hyperactivity disorder (ADHD) symptoms in Chinese schoolchildren. METHODS We invited 8630 individuals aged 6-12 years from an ongoing school-based cohort study across Guangzhou from April to May 2019. There are 7495 and 7245 children were respectively evaluated on the parent- and teacher-rated Conner's Rating Scale-Revised, and 7087 children were assessed on both versions. Indoor air pollutants exposures including cooking oil fumes, incense burning, home renovation, and secondhand smoke, were measured using a questionnaire reported by parents and children, and further converted into an index. Generalized linear mixed-effects models were performed to evaluate the associations between indoor air pollutants exposures and ADHD index and the presence of ADHD symptoms. RESULTS As reported by parents, 321 (4.3%) children had ADHD symptoms. Each of the four pollutants was positively associated with higher ADHD index and higher odds of ADHD symptoms. Children exposed to 1, 2, and ≥ 3 types of indoor air pollutants had higher ADHD index and higher odds of ADHD symptoms than those non-exposed children. For parent-reported ADHD symptoms, the odds ratios ranged from 1.24 [95% confidence interval (CI): 0.92-1.67] to 2.73 (95% CI: 1.86-4.01). These associations were consistent in parent- and teacher-reported ADHD symptoms, and the combination of both. CONCLUSION Indoor air pollutants exposures were positively associated with higher prevalence of children's ADHD symptoms assessed by whether parents or teachers.
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Affiliation(s)
- Yi-Can Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, PR China.
| | - Zhao-Huan Gui
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, PR China.
| | - Wen-Wen Bao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, PR China.
| | - Jing-Hong Liang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, PR China.
| | - Shu-Xin Zhang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, PR China.
| | - Yu Zhao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, PR China.
| | - Nan Jiang
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, PR China.
| | - Ya-Jun Chen
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, PR China.
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Song J, Qu R, Sun B, Wang Y, Chen R, Kan H, An Z, Wu H, Li J, Jiang J, Zhang Y, Wu W. Acute effects of ambient nitrogen dioxide exposure on serum biomarkers of nervous system damage in healthy older adults. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 249:114423. [PMID: 36525948 DOI: 10.1016/j.ecoenv.2022.114423] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 12/09/2022] [Accepted: 12/10/2022] [Indexed: 06/17/2023]
Abstract
Ambient nitrogen dioxide (NO2)-induced adverse health effects have been studied, but documented evidence on neural systems is limited. This study aimed to determine the acute effect of NO2 exposure on nervous system damage biomarker levels in healthy older adults. Five rounds of follow-up among 34 healthy retired people were scheduled from December 2018 to April 2019 in Xinxiang, China. The real-time NO2 concentrations were measured using a fixed site monitor. Serum samples were acquired during each round to measure nervous system damage biomarker levels: brain-derived neurotrophic factor (BDNF), neurofilament light chain (NfL), neuron-specific enolase (NSE), protein gene product 9.5 (PGP9.5), and S100 calcium-binding protein B (S100B). A linear mixed-effect model was incorporated to analyze the association between short-term NO2 exposure and serum concentrations of the above-mentioned biomarkers. Stratification analysis based on sex, educational attainment, glutathione S-transferase theta 1 gene (GSTT1) polymorphism, and physical activity intensity was conducted to explore their potential modification effect. The NO2 concentration ranged from 34.7 to 59.0 µg/m3 during the study period. Acute exposure to ambient NO2 was significantly associated with elevated serum levels of NfL, PGP9.5, and BDNF. In response to a 10 µg/m3 increase in NO2 concentration, NfL and PGP9.5 levels increased by 76 % (95 % confidence interval [CI]: 12-140 %) and 54 % (95 % CI: 1-107 %) on the lag0 day, respectively, while BDNF levels increased by 49 % (95 % CI: 2-96 %) at lag4 day. The estimated effect of NO2 on NSE levels in GSTT1-sufficient participants was significantly higher than that in GSTT1-null participants. Intriguingly, the estimation of NO2 on PGP9.5 levels in females was significantly higher than that in males. Most two-pollutant models showed robust results, except for O3, which might have had confounding effects on NO2-induced BDNF stimulation. In summary, acute exposure to NO2 was associated with increased levels of serum nervous system damage biomarker levels including NFL, PGP9.5, and BDNF. The present study provided insights into NO2 exposure-induced adverse neural effects.
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Affiliation(s)
- Jie Song
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Rongrong Qu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Beibei Sun
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Yinbiao Wang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Renjie Chen
- School of Public Health, Fudan University, Shanghai, China
| | - Haidong Kan
- School of Public Health, Fudan University, Shanghai, China
| | - Zhen An
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Hui Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Juan Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Jing Jiang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Yange Zhang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China
| | - Weidong Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province 453003, China.
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Shang M, Tang M, Xue Y. Neurodevelopmental toxicity induced by airborne particulate matter. J Appl Toxicol 2023; 43:167-185. [PMID: 35995895 DOI: 10.1002/jat.4382] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 08/17/2022] [Accepted: 08/17/2022] [Indexed: 11/08/2022]
Abstract
Airborne particulate matter (PM), the primary component associated with health risks in air pollution, can negatively impact human health. Studies have shown that PM can enter the brain by inhalation, but data on the exact quantity of particles that reach the brain are unknown. Particulate matter exposure can result in neurotoxicity. Exposure to PM poses a greater health risk to infants and children because their nervous systems are not fully developed. This review paper highlights the association between PM and neurodevelopmental toxicity (NDT). Exposure to PM can induce oxidative stress and inflammation, potentially resulting in blood-brain barrier damage and increased susceptibility to development of neurodevelopmental disorders (NDD), such as autism spectrum disorders and attention deficit disorders. In addition, human and animal exposure to PM can induce microglia activation and epigenetic alterations and alter the neurotransmitter levels, which may increase risks for development of NDD. However, the systematic comparisons of the effects of PM on NDD at different ages of exposure are deficient. The elucidation of PM exposure risks and NDT in children during the early developmental stages are of great importance. The synthesis of current research may help to identify markers and mechanisms of PM-induced neurodevelopmental toxicity, allowing for the development of strategies to prevent permanent damage of developing brain.
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Affiliation(s)
- Mengting Shang
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Meng Tang
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Yuying Xue
- Key Laboratory of Environmental Medicine and Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
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Molot J, Sears M, Marshall LM, Bray RI. Neurological susceptibility to environmental exposures: pathophysiological mechanisms in neurodegeneration and multiple chemical sensitivity. REVIEWS ON ENVIRONMENTAL HEALTH 2022; 37:509-530. [PMID: 34529912 DOI: 10.1515/reveh-2021-0043] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 08/13/2021] [Indexed: 05/23/2023]
Abstract
The World Health Organization lists air pollution as one of the top five risks for developing chronic non-communicable disease, joining tobacco use, harmful use of alcohol, unhealthy diets and physical inactivity. This review focuses on how host defense mechanisms against adverse airborne exposures relate to the probable interacting and overlapping pathophysiological features of neurodegeneration and multiple chemical sensitivity. Significant long-term airborne exposures can contribute to oxidative stress, systemic inflammation, transient receptor subfamily vanilloid 1 (TRPV1) and subfamily ankyrin 1 (TRPA1) upregulation and sensitization, with impacts on olfactory and trigeminal nerve function, and eventual loss of brain mass. The potential for neurologic dysfunction, including decreased cognition, chronic pain and central sensitization related to airborne contaminants, can be magnified by genetic polymorphisms that result in less effective detoxification. Onset of neurodegenerative disorders is subtle, with early loss of brain mass and loss of sense of smell. Onset of MCS may be gradual following long-term low dose airborne exposures, or acute following a recognizable exposure. Upregulation of chemosensitive TRPV1 and TRPA1 polymodal receptors has been observed in patients with neurodegeneration, and chemically sensitive individuals with asthma, migraine and MCS. In people with chemical sensitivity, these receptors are also sensitized, which is defined as a reduction in the threshold and an increase in the magnitude of a response to noxious stimulation. There is likely damage to the olfactory system in neurodegeneration and trigeminal nerve hypersensitivity in MCS, with different effects on olfactory processing. The associations of low vitamin D levels and protein kinase activity seen in neurodegeneration have not been studied in MCS. Table 2 presents a summary of neurodegeneration and MCS, comparing 16 distinctive genetic, pathophysiological and clinical features associated with air pollution exposures. There is significant overlap, suggesting potential comorbidity. Canadian Health Measures Survey data indicates an overlap between neurodegeneration and MCS (p < 0.05) that suggests comorbidity, but the extent of increased susceptibility to the other condition is not established. Nevertheless, the pathways to the development of these conditions likely involve TRPV1 and TRPA1 receptors, and so it is hypothesized that manifestation of neurodegeneration and/or MCS and possibly why there is divergence may be influenced by polymorphisms of these receptors, among other factors.
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Affiliation(s)
- John Molot
- Family Medicine, University of Ottawa Faculty of Medicine, North York, ON, Canada
| | | | | | - Riina I Bray
- Family and Community Medicine, University of Toronto, Toronto, ON, Canada
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Pan R, Zhang Y, Xu Z, Yi W, Zhao F, Song J, Sun Q, Du P, Fang J, Cheng J, Liu Y, Chen C, Lu Y, Li T, Su H, Shi X. Exposure to fine particulate matter constituents and cognitive function performance, potential mediation by sleep quality: A multicenter study among Chinese adults aged 40-89 years. ENVIRONMENT INTERNATIONAL 2022; 170:107566. [PMID: 36219911 DOI: 10.1016/j.envint.2022.107566] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 10/02/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
Although exposure to fine particulate matter (PM2.5) has been associated with cognitive decline, little is known about which PM2.5 constituents are more harmful. Recent study on the association between PM2.5 and sleep quality prompted us to propose that sleep quality may mediate the adverse effects of PM2.5 components on cognitive decline. Understanding the association between PM2.5 constituents and cognitive function, as well as the mediating role of sleep quality provides a future intervention target for improving cognitive function. Using data involving 1834 participants from a multicenter cross-sectional study in nine cities of the Beijing-Tianjin-Hebei (BTH) region in China, we undertook multivariable linear regression analyses to quantify the association of annual moving-average PM2.5 and its chemical constituents with cognitive function and to assess the modifying role of exposure characteristic in this association. Besides, we examined the extent to which this association of PM2.5 constituents with cognitive function was mediated via sleep quality by a mediation analysis. We observed significantly negative associations between an increase of one interquartile range increase in PM2.5 [-0.876 (95 % CI: -1.205, -0.548)], organic carbon [-0.481 (95 % CI: -0.744, -0.219)], potassium [-0.344 (95 % CI: -0.530, -0.157)], iron [-0.468 (95 % CI: -0.646, -0.291)], and ammonium ion [-0.125 (95 % CI: -0.197, -0.052)] and cognitive decline. However, we didn't find any individual components more harmful than PM2.5. Poor sleep quality partially mediated the estimated associations, which were explained ranging from 2.28 % to 11.99 %. Stratification analyses showed that people living in areas with lower greenspace were more susceptible to specific PM2.5 components. Our study suggests that the adverse effect of suffering from PM2.5 components is more pronounced among individuals with poor sleep quality, amplifying environmental inequalities in health. Besides reducing environmental pollution, improving sleep quality may be another measure worth considering to improve cognition if our research is confirmed in the future.
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Affiliation(s)
- Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Yi Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Zhiwei Xu
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Australia
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Peng Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Yingchun Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yifu Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China.
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
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Vancil A, Strawn JR, Rasnick E, Levine A, Schroeder HK, Specht AM, Turner AL, Ryan PH, Brokamp C. Pediatric anxiety and daily fine particulate matter: A longitudinal study. PSYCHIATRY RESEARCH COMMUNICATIONS 2022; 2:100077. [PMID: 36644031 PMCID: PMC9837744 DOI: 10.1016/j.psycom.2022.100077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Daily variations in ambient fine particulate matter (PM2.5) could contribute to the morbidity of anxiety disorders in children and adolescents, but has not yet been studied longitudinally at a daily level. We tested this association using repeated weekly measures of anxiety symptom severity in a group of 23 adolescents with generalized anxiety disorder. After estimating ambient PM2.5 concentrations using a validated model, we found that increased concentrations were significantly associated with increased anxiety symptom severity and frequency two, three, and four days later. PM2.5 may be a novel, modifiable exposure that could inform population level interventions to decrease psychiatric morbidity.
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Affiliation(s)
- Andrew Vancil
- Cincinnati Children’s Hospital Medical Center, Division of Biostatistics and Epidemiology, USA
| | - Jeffrey R. Strawn
- Cincinnati Children’s Hospital Medical Center, Division of Biostatistics and Epidemiology, USA,University of Cincinnati, Anxiety Disorders Research Program, Department of Psychiatry & Behavioral Neuroscience, USA
| | - Erika Rasnick
- Cincinnati Children’s Hospital Medical Center, Division of Biostatistics and Epidemiology, USA
| | - Amir Levine
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, USA,Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, USA
| | - Heidi K. Schroeder
- University of Cincinnati, Anxiety Disorders Research Program, Department of Psychiatry & Behavioral Neuroscience, USA
| | - Ashley M. Specht
- University of Cincinnati, Anxiety Disorders Research Program, Department of Psychiatry & Behavioral Neuroscience, USA
| | - Ashley L. Turner
- Cincinnati Children’s Hospital Medical Center, Division of Biostatistics and Epidemiology, USA
| | - Patrick H. Ryan
- Cincinnati Children’s Hospital Medical Center, Division of Biostatistics and Epidemiology, USA,University of Cincinnati, College of Medicine, Department of Pediatrics, USA
| | - Cole Brokamp
- Cincinnati Children’s Hospital Medical Center, Division of Biostatistics and Epidemiology, USA,University of Cincinnati, College of Medicine, Department of Pediatrics, USA,Corresponding author. Cincinnati Children’s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45219, USA. (C. Brokamp)
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50
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Khreis H, Bredell C, Wai Fung K, Hong L, Szybka M, Phillips V, Abbas A, Lim YH, Jovanovic Andersen Z, Woodcock J, Brayne C. Impact of long-term air pollution exposure on incidence of neurodegenerative diseases: A protocol for a systematic review and exposure-response meta-analysis. ENVIRONMENT INTERNATIONAL 2022; 170:107596. [PMID: 36308811 DOI: 10.1016/j.envint.2022.107596] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Ambient air pollution is a pervasive and ubiquitous hazard, which has been linked to premature morbidity and a growing number of morbidity endpoints. Air pollution may be linked to neurodegeneration, and via this or other pathways, to neurodegenerative diseases. Emerging evidence suggests that air pollution may contribute to neurodegenerative diseases such as dementia, Parkinson's Disease (PD), Multiple Sclerosis (MS) and Motor Neuron Diseases (MND), although this evidence remains inconsistent and very limited for MS and MND. In addition, this evidence base is rapidly emerging and would benefit from a wide and critical synthesis, including a better understanding of heterogeneity. OBJECTIVES In this paper, we present a protocol for a systematic review and meta-analysis and specify our methods a priori. The main aim of the planned systematic review is to answer the question of whether long-term exposure (>1 year) to ambient (outdoor) air pollution (exposure, compared to lower exposure) increases the risk of adult (population) incidence of neurodegenerative diseases (outcomes) in epidemiological observational studies (study design). Another aim is to meta-analyze the associations between long-term exposure to ambient air pollutants and the risk of the selected outcomes and assess the shape of exposure-response functions. To set the stage for the proposed work, we also overview the existing epidemiological evidence in this protocol, but do not critically evaluate it, as these results will be fully presented in the planned systematic review. SEARCH AND STUDY ELIGIBILITY We will search the electronic databases Medline (via Ovid), Embase (via Ovid), Cochrane Library, Cinahl (via Ebscohost), Global Health (via Ebscohost), PsycINFO (via Ebscohost), Scopus, Web of Science (Core Collection), from inception to October 2022. Eligible studies must contain primary research investigating the link between 1-year + exposure to any outdoor air pollutant, from any source, and dementia, PD, MS, and MND, or dementia subtypes: Alzheimer's Disease, vascular dementia, and mixed dementia. The search strategy and eligibility criteria are pre-determined and described in full in this protocol. STUDY APPRAISAL AND SYNTHESIS METHODS Articles will be stored and screened using Rayyan QCRI. Title and abstract screening, full text review, data extraction, risk of bias assessment and data preparation for statistical analysis will be conducted independently by two reviewers using pre-defined forms and criteria, described in this protocol. All these steps will also be piloted and the forms and/or methods adapted if issues arise. Meta-analysis and assessment of the shape of the exposure-response functions will be conducted if four independent exposure-outcomes pairs are available, and the remainder of results will be synthesized in the forms of tables and via a narrative summary. Certainty in the body of evidence will be assessed using the OHAT approach. This protocol describes the planned analysis and synthesis a priori and serves to increase transparency and impact of this systematic review and meta-analysis.
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Affiliation(s)
- Haneen Khreis
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom.
| | - Christiaan Bredell
- University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Kwan Wai Fung
- University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Lucy Hong
- University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Magdalena Szybka
- University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Veronica Phillips
- University of Cambridge Medical Library, University of Cambridge School of Clinical Medicine, Hills Rd, Cambridge CB2 0SP, United Kingdom
| | - Ali Abbas
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Youn-Hee Lim
- Section of Environmental and Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 15 Øster Farimagsgade 5, 1014 Copenhagen, Denmark
| | - Zorana Jovanovic Andersen
- Section of Environmental and Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 15 Øster Farimagsgade 5, 1014 Copenhagen, Denmark
| | - James Woodcock
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SL, United Kingdom
| | - Carol Brayne
- Cambridge Public Health, University of Cambridge, Cambridge CB2 0SR, United Kingdom
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