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Ziaei A, Solomon O, Casper TC, Waltz M, Weinstock-Guttman B, Aaen G, Wheeler Y, Graves J, Benson L, Gorman M, Rensel M, Mar S, Lotze T, Greenberg B, Chitnis T, Waldman AT, Krupp L, James JA, Hart J, Barcellos LF, Waubant E. Gene-environment interactions: Epstein-Barr virus infection and risk of pediatric-onset multiple sclerosis. Mult Scler 2024; 30:308-315. [PMID: 38332747 PMCID: PMC11093131 DOI: 10.1177/13524585231224685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
BACKGROUND AND OBJECTIVE Prior Epstein-Barr virus (EBV) infection is associated with an increased risk of pediatric-onset multiple sclerosis (POMS) and adult-onset multiple sclerosis (MS). It has been challenging to elucidate the biological mechanisms underlying this association. We examined the interactions between candidate human leukocyte antigen (HLA) and non-HLA variants and childhood EBV infection as it may provide mechanistic insights into EBV-associated MS. METHODS Cases and controls were enrolled in the Environmental and Genetic Risk Factors for Pediatric MS study of the US Network of Pediatric MS Centers. Participants were categorized as seropositive and seronegative for EBV-viral capsid antigen (VCA). The association between prior EBV infection and having POMS was estimated with logistic regression. Interactions between EBV serostatus, major HLA MS risk factors, and non-HLA POMS risk variants associated with response to EBV infection were also evaluated with logistic regression. Models were adjusted for sex, age, genetic ancestry, and the mother's education. Additive interactions were calculated using relative risk due to interaction (RERI) and attributable proportions (APs). RESULTS A total of 473 POMS cases and 702 controls contributed to the analyses. Anti-VCA seropositivity was significantly higher in POMS cases compared to controls (94.6% vs 60.7%, p < 0.001). There was evidence for additive interaction between childhood EBV infection and the presence of the HLA-DRB1*15 allele (RERI = 10.25, 95% confidence interval (CI) = 3.78 to 16.72; AP = 0.61, 95% CI = 0.47 to 0.75). There was evidence for multiplicative interaction (p < 0.05) between childhood EBV infection and the presence of DRB1*15 alleles (odds ratio (OR) = 3.43, 95% CI = 1.06 to 11.07). Among the pediatric MS variants also associated with EBV infection, we detected evidence for additive interaction (p = 0.02) between prior EBV infection and the presence of the GG genotype in risk variant (rs2255214) within CD86 (AP = 0.30, 95% CI = 0.03 to 0.58). CONCLUSION We report evidence for interactions between childhood EBV infection and DRB1*15 and the GG genotype of CD86 POMS risk variant. Our results suggest an important role of antigen-presenting cells (APCs) in EBV-associated POMS risk.
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Affiliation(s)
- Amin Ziaei
- University of California San Francisco, San Francisco, CA, USA/Department of Pathology & Laboratory Medicine, University of California, Irvine Medical Center (UCIMC), Orange, CA, USA
| | - Olivia Solomon
- Division of Epidemiology and Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | | | | | | | - Greg Aaen
- Loma Linda University Children's Hospital, Loma Linda, CA, USA
| | - Yolanda Wheeler
- The University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Leslie Benson
- Pediatric Multiple Sclerosis and Related Disorders Program, Boston Children's Hospital, Boston, MA, USA
| | - Mark Gorman
- Pediatric Multiple Sclerosis and Related Disorders Program, Boston Children's Hospital, Boston, MA, USA
| | | | - Soe Mar
- Washington University in St. Louis, St. Louis, MO, USA
| | - Tim Lotze
- Texas Children's Hospital, Houston, TX, USA
| | | | - Tanuja Chitnis
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Amy T Waldman
- Division of Child Neurology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Lauren Krupp
- New York University Medical Center, New York, NY, USA
| | - Judith A James
- Oklahoma Medical Research Foundation, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Janace Hart
- University of California San Francisco, San Francisco, CA, USA
| | - Lisa F Barcellos
- Division of Epidemiology and Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
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2
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Nasr Z, Virupakshaiah A, Schoeps VA, Cherbuin N, Casper TC, Waltz M, Hart J, Rodriguez M, Gorman MP, Benson LA, Chitnis T, Rensel M, Abrams A, Krupp L, Waldman AT, Lotze T, Aaen GS, Mar S, Schreiner T, Wheeler Y, Rose J, Shukla NM, Barcellos LF, Lucas R, Waubant E. Gene-environment interactions and risk of pediatric-onset multiple sclerosis associated with time spent outdoors. Mult Scler Relat Disord 2024; 82:105351. [PMID: 38141560 DOI: 10.1016/j.msard.2023.105351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 11/12/2023] [Accepted: 12/03/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND Our previous study identified a significant association between lower time spent outdoors, as a proxy of sun exposure, and a higher risk of pediatric-onset multiple sclerosis (POMS). UV radiation modulates the expression of several genes, but it is unknown whether these genes modify the effect of sun exposure on POMS risk. METHODS In an age- and sex-matched case-control study, we evaluated the additive and multiplicative interactions between time spent outdoors and genetic non-HLA risk variants for developing POMS within the metabolic pathways of UV radiation, including CD28(rs6435203), CD86(rs9282641), and NFkB1(rs7665090) and the top two HLA risk factors (presence of DRB1×15 and absence of A*02). RESULTS In an adjusted model (332 POMS cases, 534 healthy controls), greater time compared to <30 min/day spent outdoors during the prior summer and higher UV radiation dose were associated with decreased odds of POMS (OR 0.66, 95% CI 0.56-0.78, p < 0.001; OR 0.78, 95 % CI 0.62-0.98, p = 0.04, respectively). No significant additive or multiplicative interactions were found between risk factors. CONCLUSIONS The exploration of gene-environment interactions in the risk of developing MS can unravel the underlying mechanisms involved. Although we do not have evidence that our candidate genes contribute to interactions, other genes may.
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Affiliation(s)
- Zahra Nasr
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA.
| | - Akash Virupakshaiah
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Vinicius Andreoli Schoeps
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Nicolas Cherbuin
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, Australia
| | - T Charles Casper
- University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Michael Waltz
- University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Janace Hart
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | | | - Mark P Gorman
- Boston Childrens Hospital, Boston, Massachusetts, USA
| | | | - Tanuja Chitnis
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | - Lauren Krupp
- New York University Medical Center, New York City, New York, USA
| | - Amy T Waldman
- Division of Child Neurology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Tim Lotze
- Texas Children's Hospital, Houston, Texas, USA
| | - Gregory S Aaen
- Loma Linda University Children's Hospital, Loma Linda, California, USA
| | - Soe Mar
- Washington University in St. Louis, St Louis, Missouri, USA
| | - Teri Schreiner
- Childrens Hospital Colorado/University of Colorado, Aurora, Colorado, USA
| | | | - John Rose
- George E. Wahlen Department of Veterans Affairs Medical Center, University of Utah, Salt Lake City, UT, USA
| | - Nikita Melani Shukla
- Baylor College of Medicine/Texas Children's Hospital, Neurology and Developmental Neuroscience, Houston, Texas, USA
| | - Lisa F Barcellos
- Genetic Epidemiology and Genomics Laboratory, Divisions of Epidemiology and Biostatistics, School of Public Health, University of California Berkeley, Berkeley, California, USA
| | - Robyn Lucas
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - Emmanuelle Waubant
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
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3
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Dinov D, Brenton JN. Environmental Influences on Risk and Disease Course in Pediatric Multiple Sclerosis. Semin Pediatr Neurol 2023; 46:101049. [PMID: 37451747 PMCID: PMC10351032 DOI: 10.1016/j.spen.2023.101049] [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: 02/15/2023] [Revised: 04/21/2023] [Accepted: 04/23/2023] [Indexed: 07/18/2023]
Abstract
Pediatric multiple sclerosis (MS) accounts for 3%-10% of all patients diagnosed with MS. Complex interplay between environmental factors impacts the risk for MS and may also affect disease course. Many of these environmental factors are shared with adult-onset MS. However, children with MS are in closer temporal proximity to the biological onset of MS and have less confounding environmental exposures than their adult counterparts. Environmental factors that contribute to MS risk include: geographical latitude, viral exposures, obesity, vitamin deficiencies, smoking, air pollution, perinatal factors, gut microbiome, and diet. More recently, research efforts have shifted to studying the impact of these risk determinants on the clinical course of MS. In this article we will examine relevant environmental risk determinants of pediatric MS and review the current knowledge on how these factors may contribute to pediatric MS disease evolution.
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Affiliation(s)
- Darina Dinov
- Department of Neurology, Virginia Commonwealth University, Richmond, VA
| | - James Nicholas Brenton
- Division of Child Neurology, Department of Neurology, University of Virginia, Charlottesville, VA.
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4
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Ziaei A, Lavery AM, Shao XM, Adams C, Casper TC, Rose J, Candee M, Weinstock-Guttman B, Aaen G, Harris Y, Graves J, Benson L, Gorman M, Rensel M, Mar S, Lotze T, Greenberg B, Chitnis T, Hart J, Waldman AT, Barcellos LF, Waubant E. Gene-environment interactions increase the risk of pediatric-onset multiple sclerosis associated with ozone pollution. Mult Scler 2022; 28:1330-1339. [PMID: 35000467 DOI: 10.1177/13524585211069926] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND We previously reported a relationship between air pollutants and increased risk of pediatric-onset multiple sclerosis (POMS). Ozone is an air pollutant that may play a role in multiple sclerosis (MS) pathoetiology. CD86 is the only non-HLA gene associated with POMS for which expression on antigen-presenting cells (APCs) is changed in response to ozone exposure. OBJECTIVES To examine the association between county-level ozone and POMS, and the interactions between ozone pollution, CD86, and HLA-DRB1*15, the strongest genetic variant associated with POMS. METHODS Cases and controls were enrolled in the Environmental and Genetic Risk Factors for Pediatric MS study of the US Network of Pediatric MS Centers. County-level-modeled ozone data were acquired from the CDC's Environmental Tracking Network. Participants were assigned ozone values based on county of residence. Values were categorized into tertiles based on healthy controls. The association between ozone tertiles and having MS was assessed by logistic regression. Interactions between tertiles of ozone level and the GG genotype of the rs928264 (G/A) single nucleotide polymorphism (SNP) within CD86, and the presence of DRB1*15:01 (DRB1*15) on odds of POMS were evaluated. Models were adjusted for age, sex, genetic ancestry, and mother's education. Additive interaction was estimated using relative excess risk due to interaction (RERI) and attributable proportions (APs) of disease were calculated. RESULTS A total of 334 POMS cases and 565 controls contributed to the analyses. County-level ozone was associated with increased odds of POMS (odds ratio 2.47, 95% confidence interval (CI): 1.69-3.59 and 1.95, 95% CI: 1.32-2.88 for the upper two tertiles, respectively, compared with the lowest tertile). There was a significant additive interaction between high ozone tertiles and presence of DRB1*15, with a RERI of 2.21 (95% CI: 0.83-3.59) and an AP of 0.56 (95% CI: 0.33-0.79). Additive interaction between high ozone tertiles and the CD86 GG genotype was present, with a RERI of 1.60 (95% CI: 0.14-3.06) and an AP of 0.37 (95% CI: 0.001-0.75) compared to the lowest ozone tertile. AP results indicated that approximately half of the POMS risk in subjects can be attributed to the possible interaction between higher county-level ozone carrying either DRB1*15 or the CD86 GG genotype. CONCLUSIONS In addition to the association between high county-level ozone and POMS, we report evidence for additive interactions between higher county-level ozone and DRB1*15 and the CD86 GG genotype. Identifying gene-environment interactions may provide mechanistic insight of biological processes at play in MS susceptibility. Our work suggests a possible role of APCs for county-level ozone-induced POMS risk.
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Affiliation(s)
- Amin Ziaei
- University of California, San Francisco, San Francisco, CA, USA
| | - Amy M Lavery
- Division of Child Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Xiaorong Ma Shao
- Genetic Epidemiology and Genomics Laboratory, Divisions of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Cameron Adams
- Genetic Epidemiology and Genomics Laboratory, Divisions of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | | | - John Rose
- The University of Utah, Salt Lake City, UT, USA
| | | | | | - Greg Aaen
- Loma Linda University Children's Hospital, Loma Linda, CA, USA
| | | | | | - Leslie Benson
- Pediatric Multiple Sclerosis and Related Disorders Program, Boston Children's Hospital, Boston, MA, USA
| | - Mark Gorman
- Pediatric Multiple Sclerosis and Related Disorders Program, Boston Children's Hospital, Boston, MA, USA
| | | | - Soe Mar
- Washington University in St. Louis, St. Louis, MO, USA
| | - Tim Lotze
- Texas Children's Hospital, Houston, TX, USA
| | | | - Tanuja Chitnis
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Janace Hart
- University of California, San Francisco, San Francisco, CA, USA
| | - Amy T Waldman
- Division of Child Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Lisa F Barcellos
- Genetic Epidemiology and Genomics Laboratory, Divisions of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
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5
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Farahmandfard MA, Naghibzadeh-Tahami A, Khanjani N. Ambient air pollution and multiple sclerosis: a systematic review. REVIEWS ON ENVIRONMENTAL HEALTH 2021; 36:535-544. [PMID: 34821118 DOI: 10.1515/reveh-2020-0079] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 12/09/2020] [Indexed: 06/13/2023]
Abstract
OBJECTIVES Some studies have shown that environmental risk factors, including air pollution, might be related to the incidence or recurrence of multiple sclerosis (MS). This systematic review was conducted to investigate the relation between air pollution and MS. METHODS A systematic search was conducted in PubMed, Scopus, Science Direct, Embase, and Web of Science; until January 2020 with no restrictions. The search strategy was conducted with air pollution key words such as CO, PM2.5, PM10, SO2, and NO2, for exposure and the key word "Multiple sclerosis" as the outcome. RESULTS Eventually, after applying the inclusion and exclusion criteria, 17 articles were included. The methodologies and outcomes reported were heterogeneous and different metrics had been used in the results; therefore conducting a meta-analysis was not possible. Eight studies had analyzed the relation between particulate matter (PM) and the prevalence or relapse of MS and had observed a significant relation. NO2 and NOx were associated with recurrence or prevalence of MS in three studies. But, in three cohort studies, no association was observed between air pollution and recurrence or occurrence of MS. CONCLUSIONS The results of this systematic review show that outdoor air pollution, especially PM and nitrogen oxides might be related to the prevalence or relapse of MS.
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Affiliation(s)
- Mohammad Amin Farahmandfard
- Neurology Research Center, Kerman University of Medical Sciences, Kerman, Iran
- Social Determinants of Health Research Center, Jahrom University of Medical Sciences, Jahrom, Iran
| | | | - Narges Khanjani
- Neurology Research Center, Kerman University of Medical Sciences, Kerman, Iran
- Environmental Health Engineering Research Center, Kerman University of Medical Sciences, Kerman, Iran
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6
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Tang C, Li QR, Mao YM, Xia YR, Guo HS, Wang JP, Shuai ZW, Ye DQ. Association between ambient air pollution and multiple sclerosis: a systemic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:58142-58153. [PMID: 34109523 DOI: 10.1007/s11356-021-14577-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 05/21/2021] [Indexed: 06/12/2023]
Abstract
Recently, increasing attention has been paid to the effects of air pollutants on autoimmune diseases. The results of relationship between ambient air pollution and multiple sclerosis (MS) showed a variety of differences. Thus, the purpose of this study is to further clarify and quantify the relationship between ambient air pollutants and MS through meta-analysis. Through electronic literature search, literature related to our research topic was collected in Cochrane Library, Embase, and PubMed till August 18, 2020, according to certain criteria. Pooled risk estimate and 95% confidence intervals (95%CI) were calculated by random-effect model analysis. After removing copies, browsing titles and abstracts, and reading full text, 6 studies were finally included. The results showed that only particulate matter (PM) with aerodynamic diameter ≤ 10 (PM10) was related to MS (pooled HR = 1.058, 95% CI = 1.050-1.066), and no correlation was found between PM with aerodynamic diameter < 2.5 (PM2.5), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3), benzene (C6H6), major road < 50 m, and MS. There was no publication bias, and the heterogeneity analysis results were stable. PM10 is correlated with the disease MS, while other pollution is not connected with MS. Therefore, it is important for MS patients to take personal protection against particulate pollution and avoid exposure to higher levels of PM.
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Affiliation(s)
- Chao Tang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Qing-Ru Li
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yan-Mei Mao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yuan-Rui Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Heng-Sheng Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jun-Ping Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Zong-Wen Shuai
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
| | - Dong-Qing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Province Laboratory of Inflammation and Immune Mediated Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, China.
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7
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Bergamaschi R, Montomoli C. Air pollution is a risk factor for multiple sclerosis - Yes. Mult Scler 2021; 27:2137-2138. [PMID: 34676793 DOI: 10.1177/13524585211035953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Roberto Bergamaschi
- Multiple Sclerosis Research Centre, IRCCS Mondino Foundation, via Mondino 2, 27100 Pavia, Italy
| | - Cristina Montomoli
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
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8
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Zarghami A, Li Y, Claflin SB, van der Mei I, Taylor BV. Role of environmental factors in multiple sclerosis. Expert Rev Neurother 2021; 21:1389-1408. [PMID: 34494502 DOI: 10.1080/14737175.2021.1978843] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
INTRODUCTION Environmental factors play a significant role in the pathogenesis and progression of multiple sclerosis (MS), either acting alone or by interacting with other environmental or genetic factors. This cumulative exposure to external risk factors is highly complex and highly variable between individuals. AREAS COVERED We narratively review the current evidence on the role of environment-specific risk factors in MS onset and progression, as well as the effect of gene-environment interactions and the timing of exposure We have reviewed the latest literature, by Ovid Medline, retrieving the most recently published systematic reviews and/or meta-analyses and more recent studies not previously included in meta-analyses or systematic reviews. EXPERT OPINION There is some good evidence supporting the impact of some environmental risk factors in increasing the risk of developing MS. Tobacco smoking, low vitamin D levels and/or low sun exposure, Epstein Barr Virus (EBV) seropositivity and a history of infectious mononucleosis may increase the risk of developing MS. Additionally, there is some evidence that gene-smoking, gene-EBV, and smoking-EBV interactions additively affect the risk of MS onset. However, the evidence for a role of other environmental factors in MS progression is limited. Finally, there is some evidence that tobacco smoking, insufficient vitamin D levels and/or sun exposure have impacts on MS phenotypes and various markers of disease activity including relapse, disability progression and MRI findings. Clearly the effect of environmental factors on MS disease course is an area that requires significantly more research.
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Affiliation(s)
- Amin Zarghami
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Ying Li
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Suzi B Claflin
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Ingrid van der Mei
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Bruce V Taylor
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
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9
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Abbaszadeh S, Tabary M, Aryannejad A, Abolhasani R, Araghi F, Khaheshi I, Azimi A. Air pollution and multiple sclerosis: a comprehensive review. Neurol Sci 2021. [PMID: 34341860 DOI: 10.1007/s10072-021-05508-4.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Multiple sclerosis (MS) is an inflammatory, autoimmune demyelinating disorder of the central nervous system (CNS), leading to progressive functional impairments, and many intrinsic and acquired factors are believed to be associated with its development and relapse. In terms of environmental factors, air pollution has gained much attention during recent decades, as chronic exposure to ambient air pollution seems to increase the level of some pro-inflammatory markers in the human brain, which can lead to neuroinflammation, neurodegeneration, and blood-brain barrier (BBB) breakdown. These events may also be associated with the risk of MS development and relapse. In this review, we aimed to summarize recent findings around the impact of air pollutants, including particulate matter (PM10, PM2.5, and ultra-fine particles), gaseous pollutants (carbon monoxide [CO], nitrogen oxides [NOx], sulfur dioxide [SO2], and ozone [O3]), and heavy metals, on MS development and relapse.
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Affiliation(s)
- Sahand Abbaszadeh
- Students Research Committee, School of Medicine, Arak University of Medical Sciences, Arak, Iran
| | - Mohammadreza Tabary
- Experimental Medicine Research Center, Tehran University of Medical Sciences, 13145-784, Tehran, Iran.
| | - Armin Aryannejad
- Experimental Medicine Research Center, Tehran University of Medical Sciences, 13145-784, Tehran, Iran
| | | | - Farnaz Araghi
- Skin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Isa Khaheshi
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amirreza Azimi
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
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10
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Abbaszadeh S, Tabary M, Aryannejad A, Abolhasani R, Araghi F, Khaheshi I, Azimi A. Air pollution and multiple sclerosis: a comprehensive review. Neurol Sci 2021; 42:4063-4072. [PMID: 34341860 DOI: 10.1007/s10072-021-05508-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 07/22/2021] [Indexed: 01/27/2023]
Abstract
Multiple sclerosis (MS) is an inflammatory, autoimmune demyelinating disorder of the central nervous system (CNS), leading to progressive functional impairments, and many intrinsic and acquired factors are believed to be associated with its development and relapse. In terms of environmental factors, air pollution has gained much attention during recent decades, as chronic exposure to ambient air pollution seems to increase the level of some pro-inflammatory markers in the human brain, which can lead to neuroinflammation, neurodegeneration, and blood-brain barrier (BBB) breakdown. These events may also be associated with the risk of MS development and relapse. In this review, we aimed to summarize recent findings around the impact of air pollutants, including particulate matter (PM10, PM2.5, and ultra-fine particles), gaseous pollutants (carbon monoxide [CO], nitrogen oxides [NOx], sulfur dioxide [SO2], and ozone [O3]), and heavy metals, on MS development and relapse.
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Affiliation(s)
- Sahand Abbaszadeh
- Students Research Committee, School of Medicine, Arak University of Medical Sciences, Arak, Iran
| | - Mohammadreza Tabary
- Experimental Medicine Research Center, Tehran University of Medical Sciences, 13145-784, Tehran, Iran.
| | - Armin Aryannejad
- Experimental Medicine Research Center, Tehran University of Medical Sciences, 13145-784, Tehran, Iran
| | | | - Farnaz Araghi
- Skin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Isa Khaheshi
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amirreza Azimi
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
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11
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Hashtarkhani S, Tabatabaei-Jafari H, Kiani B, Furst M, Salvador-Carulla L, Bagheri N. Use of geographical information systems in multiple sclerosis research: A systematic scoping review. Mult Scler Relat Disord 2021; 51:102909. [PMID: 33813094 DOI: 10.1016/j.msard.2021.102909] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 03/06/2021] [Accepted: 03/14/2021] [Indexed: 12/01/2022]
Abstract
INTRODUCTION Geographical information system (GIS) and spatial analysis have an emerging role in the understanding and management of health-related outcomes. However, there is a knowledge gap about the extent to which GIS has supported multiple Sclerosis (MS) research. Therefore, this review aimed to explore the types of GIS applications and the complexity of their visualisation in MS research. METHODS A systematic scoping review was conducted based on York's five-stage framework. PubMed, Scopus and Web of Science were searched for relevant studies published between 2000 and 2020 using a comprehensive search strategy based on the main concepts related to GIS and MS. Grounded, inductive analysis was conducted to organize studies into meaningful application areas. Further, we developed a tool to assess the visualisation complexity of the selected papers. RESULTS Of 3,723 identified unique citations, 42 papers met our inclusion criteria for the final review. One or more of the following types of GIS applications were reported by these studies: (a) thematic mapping (37 papers); (b) spatial cluster detection (16 papers); (c) risk factors detection (16 papers); and (d) health access and planning (two papers). In the majority of studies (88%), the score of visualisation complexity was relatively low: three or less from the range of zero to six. CONCLUSIONS Although the number of studies using GIS techniques has dramatically increased in the last decade, the use of GIS in the areas of MS access and planning is still under-researched. Additionally, the capacity of GIS in visualising complex nature of MS care system is not yet fully investigated.
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Affiliation(s)
- Soheil Hashtarkhani
- Center for Mental Health Research College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia; Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hossein Tabatabaei-Jafari
- Center for Mental Health Research College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Behzad Kiani
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - MaryAnne Furst
- Center for Mental Health Research College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Luis Salvador-Carulla
- Center for Mental Health Research College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Nasser Bagheri
- Center for Mental Health Research College of Health and Medicine, Australian National University, Canberra, Australian Capital Territory, Australia.
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Scartezzini A, Tateo F, Perini P, Benacchio L, Ermani M, Ferro A, Cadaldini M, Piccinno MG, Colledan L, Freddi N, Gallo P, Puthenparampil M. Association of Multiple Sclerosis with PM 2.5 levels. Further evidence from the highly polluted area of Padua Province, Italy. Mult Scler Relat Disord 2020; 48:102677. [PMID: 33316725 DOI: 10.1016/j.msard.2020.102677] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 11/11/2020] [Accepted: 12/03/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Fifty years of epidemiological survey and intra-regional differences in prevalence suggest that environmental factors may be associated with increased multiple sclerosis (MS) risk in Northern Italy. Based on the findings of a previous study carried out in the highly polluted Padan Plain, we further explored the relationship between PM2.5 levels and MS prevalence by comparing bordering areas characterized by quite different environmental conditions, namely the Municipality of Padua and the special protected zone (SPZ) of the Euganean Hills Regional Park, located 15 km from the City. METHODS Three territories were identified; 1) the SPZ, extending over an area of 15.096 hectares and having a total population of 23,980 inhabitants, 2) the urban area of Padua, with a total population of 210,440 inhabitants and repeatedly recognized by the European Invironmental Agency as one of the most polluted Cities of Europe, 3) the Intermediate Zone (IZ), i.e., the area in between the previous two, including part of the urban territories of eight villages adjacent to the SPZ. Demographic and socio-economical data were obtained from official government sources (www.istat.it and www.regione.veneto.it). All Italian MS patients residing in these three areas on December 31, 2018, were registered. PM2.5 concentrations (annual average 1998-2018, μg/m3) were measured by satellite. The correlation between PM2.5 concentrations and MS prevalence was analysed. RESULTS MS prevalence was significantly higher in Padua City (265/100.000) compared to both the SPZ of the Euganean Hills Park (160/100,000; p < 0.0001) and the IZ (194.4/100,000). Prevalence strongly associated with the annual average concentration of PM2.5 (r = 0.89 p < 0.00001). CONCLUSION In the Province of Padua, one of the most polluted areas of Europe, MS prevalence is strongly associated with PM2.5 exposure. Our findings suggest that air pollutants may be one of the possible environmental risk factors for MS in the Veneto Region of Italy.
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Affiliation(s)
- Arianna Scartezzini
- Multiple Sclerosis Centre of the Veneto Region, Neurology Clinic, Department of Neurosciences (DNS), University of Padua, Via Giustinaini 2, 35128, Italy
| | - Fabio Tateo
- Institute of Geosciences and Earth Resources, National Research Council of Italy, Department of Geosciences, University of Padua, Italy
| | - Paola Perini
- Multiple Sclerosis Centre of the Veneto Region, Neurology Clinic, Department of Neurosciences (DNS), University of Padua, Via Giustinaini 2, 35128, Italy
| | | | - Mario Ermani
- Multiple Sclerosis Centre of the Veneto Region, Neurology Clinic, Department of Neurosciences (DNS), University of Padua, Via Giustinaini 2, 35128, Italy
| | - Antonio Ferro
- Department of Disease Prevention, Public Health Organization of Trento Province, Italy
| | - Morena Cadaldini
- Unit of Neurology, General Hospital of Schiavonia-Monselice, Italy
| | | | | | | | - Paolo Gallo
- Multiple Sclerosis Centre of the Veneto Region, Neurology Clinic, Department of Neurosciences (DNS), University of Padua, Via Giustinaini 2, 35128, Italy
| | - Marco Puthenparampil
- Multiple Sclerosis Centre of the Veneto Region, Neurology Clinic, Department of Neurosciences (DNS), University of Padua, Via Giustinaini 2, 35128, Italy.
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Oliveira M, Padrão A, Ramalho A, Lobo M, Teodoro AC, Gonçalves H, Freitas A. Geospatial Analysis of Environmental Atmospheric Risk Factors in Neurodegenerative Diseases: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17228414. [PMID: 33202965 PMCID: PMC7697835 DOI: 10.3390/ijerph17228414] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/09/2020] [Accepted: 11/10/2020] [Indexed: 12/12/2022]
Abstract
Despite the vast evidence on the environmental influence in neurodegenerative diseases, those considering a geospatial approach are scarce. We conducted a systematic review to identify studies concerning environmental atmospheric risk factors for neurodegenerative diseases that have used geospatial analysis/tools. PubMed, Web of Science, and Scopus were searched for all scientific studies that included a neurodegenerative disease, an environmental atmospheric factor, and a geographical analysis. Of the 34 included papers, approximately 60% were related to multiple sclerosis (MS), hence being the most studied neurodegenerative disease in the context of this study. Sun exposure (n = 13) followed by the most common exhaustion gases (n = 10 for nitrogen dioxide (NO2) and n = 5 for carbon monoxide (CO)) were the most studied atmospheric factors. Only one study used a geospatial interpolation model, although 13 studies used remote sensing data to compute atmospheric factors. In 20% of papers, we found an inverse correlation between sun exposure and multiple sclerosis. No consensus was reached in the analysis of nitrogen dioxide and Parkinson’s disease, but it was related to dementia and amyotrophic lateral sclerosis. This systematic review (number CRD42020196188 in PROSPERO’s database) provides an insight into the available evidence regarding the geospatial influence of environmental factors on neurodegenerative diseases.
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Affiliation(s)
- Mariana Oliveira
- CINTESIS—Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal; (A.R.); (M.L.); (H.G.); (A.F.)
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal
- Correspondence:
| | - André Padrão
- Faculty of Arts and Humanities, University of Porto, Via Panorâmica, s/n, 4150-564 Porto, Portugal;
| | - André Ramalho
- CINTESIS—Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal; (A.R.); (M.L.); (H.G.); (A.F.)
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal
| | - Mariana Lobo
- CINTESIS—Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal; (A.R.); (M.L.); (H.G.); (A.F.)
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal
| | - Ana Cláudia Teodoro
- Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, Rua do Campo Alegre 687, 4169-007 Porto, Portugal;
- Earth Sciences Institute (ICT), Pole of the FCUP, University of Porto, 4169-007 Porto, Portugal
| | - Hernâni Gonçalves
- CINTESIS—Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal; (A.R.); (M.L.); (H.G.); (A.F.)
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal
| | - Alberto Freitas
- CINTESIS—Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal; (A.R.); (M.L.); (H.G.); (A.F.)
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, s/n, 4200-450 Porto, Portugal
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Yan K, Balijepalli C, Desai K, Gullapalli L, Druyts E. Epidemiology of pediatric multiple sclerosis: A systematic literature review and meta-analysis. Mult Scler Relat Disord 2020; 44:102260. [DOI: 10.1016/j.msard.2020.102260] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/08/2020] [Accepted: 06/01/2020] [Indexed: 10/24/2022]
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15
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Affiliation(s)
- Mattia Rosso
- Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts
| | - Tanuja Chitnis
- Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts
- Partners Multiple Sclerosis Center, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
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16
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Waubant E, Lucas R, Mowry E, Graves J, Olsson T, Alfredsson L, Langer‐Gould A. Environmental and genetic risk factors for MS: an integrated review. Ann Clin Transl Neurol 2019; 6:1905-1922. [PMID: 31392849 PMCID: PMC6764632 DOI: 10.1002/acn3.50862] [Citation(s) in RCA: 151] [Impact Index Per Article: 30.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 07/16/2019] [Accepted: 07/17/2019] [Indexed: 12/11/2022] Open
Abstract
Recent findings have provided a molecular basis for the combined contributions of multifaceted risk factors for the onset of multiple sclerosis (MS). MS appears to start as a chronic dysregulation of immune homeostasis resulting from complex interactions between genetic predispositions, infectious exposures, and factors that lead to pro-inflammatory states, including smoking, obesity, and low sun exposure. This is supported by the discovery of gene-environment (GxE) interactions and epigenetic alterations triggered by environmental exposures in individuals with particular genetic make-ups. It is notable that several of these pro-inflammatory factors have not emerged as strong prognostic indicators. Biological processes at play during the relapsing phase of the disease may result from initial inflammatory-mediated injury, while risk factors for the later phase of MS, which is weighted toward neurodegeneration, are not yet well defined. This integrated review of current evidence guides recommendations for clinical practice and highlights research gaps.
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Affiliation(s)
| | - Robyn Lucas
- National Centre for Epidemiology and Population Health, Research School of Population HealthAustralian National UniversityCanberraAustralia
| | - Ellen Mowry
- Department of Neurology and EpidemiologyJohns Hopkins UniversityBaltimoreMaryland
| | | | - Tomas Olsson
- Department of NeurologyKarolinska Institutet, Department of Clinical NeuroscienceStockholmSweden
| | - Lars Alfredsson
- Department of EpidemiologyInstitute of Environmental Medicine, Karolinska InstitutetStockholmSweden
| | - Annette Langer‐Gould
- Clinical & Translational NeuroscienceKaiser Permanente/Southern California Permanente Medical GroupLos AngelesCalifornia
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17
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O'Driscoll CA, Mezrich JD. The Aryl Hydrocarbon Receptor as an Immune-Modulator of Atmospheric Particulate Matter-Mediated Autoimmunity. Front Immunol 2018; 9:2833. [PMID: 30574142 PMCID: PMC6291477 DOI: 10.3389/fimmu.2018.02833] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 11/16/2018] [Indexed: 12/22/2022] Open
Abstract
This review examines the current literature on the effects of atmospheric particulate matter (PM) on autoimmune disease and proposes a new role for the aryl hydrocarbon receptor (AHR) as a modulator of T cells in PM-mediated autoimmune disease. There is a significant body of literature regarding the strong epidemiologic correlations between PM exposures and worsened autoimmune diseases. Genetic predispositions account for 30% of all autoimmune disease leaving environmental factors as major contributors. Increases in incidence and prevalence of autoimmune disease have occurred concurrently with an increase in air pollution. Currently, atmospheric PM is considered to be the greatest environmental health risk worldwide. Atmospheric PM is a complex heterogeneous mixture composed of diverse adsorbed organic compounds such as polycyclic aromatic hydrocarbons (PAHs) and dioxins, among others. Exposure to atmospheric PM has been shown to aggravate several autoimmune diseases. Despite strong correlations between exposure to atmospheric PM and worsened autoimmune disease, the mechanisms underlying aggravated disease are largely unknown. The AHR is a ligand activated transcription factor that responds to endogenous and exogenous ligands including toxicants present in PM, such as PAHs and dioxins. A few studies have investigated the effects of atmospheric PM on AHR activation and immune function and demonstrated that atmospheric PM can activate the AHR, change cytokine expression, and alter T cell differentiation. Several studies have found that the AHR modulates the balance between regulatory and effector T cell functions and drives T cell differentiation in vitro and in vivo using murine models of autoimmune disease. However, there are very few studies on the role of AHR in PM-mediated autoimmune disease. The AHR plays a critical role in the balance of effector and regulatory T cells and in autoimmune disease. With increased incidence and prevalence of autoimmune disease occurring concurrently with increases in air pollution, potential mechanisms that drive inflammatory and exacerbated disease need to be elucidated. This review focuses on the AHR as a potential mechanistic target for modulating T cell responses associated with PM-mediated autoimmune disease providing the most up-to-date literature on the role of AHR in autoreactive T cell function and autoimmune disease.
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Affiliation(s)
- Chelsea A O'Driscoll
- Division of Transplantation, Department of Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.,Molecular and Environmental Toxicology Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Joshua D Mezrich
- Division of Transplantation, Department of Surgery, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
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18
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Gray CL, Lobdell DT, Rappazzo KM, Jian Y, Jagai JS, Messer LC, Patel AP, DeFlorio-Barker SA, Lyttle C, Solway J, Rzhetsky A. Associations between environmental quality and adult asthma prevalence in medical claims data. ENVIRONMENTAL RESEARCH 2018; 166:529-536. [PMID: 29957506 PMCID: PMC6110955 DOI: 10.1016/j.envres.2018.06.020] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Revised: 06/06/2018] [Accepted: 06/11/2018] [Indexed: 06/08/2023]
Abstract
As of 2014, approximately 7.4% of U.S. adults had current asthma. The etiology of asthma is complex, involving genetics, behavior, and environmental factors. To explore the association between cumulative environmental quality and asthma prevalence in U.S. adults, we linked the U.S. Environmental Protection Agency's Environmental Quality Index (EQI) to the MarketScan® Commercial Claims and Encounters Database. The EQI is a summary measure of five environmental domains (air, water, land, built, sociodemographic). We defined asthma as having at least 2 claims during the study period, 2003-2013. We used a Bayesian approach with non-informative priors, implementing mixed-effects regression modeling with a Poisson link function. Fixed effects variables were EQI, sex, race, and age. Random effects were counties. We modeled quintiles of the EQI comparing higher quintiles (worse quality) to lowest quintile (best quality) to estimate prevalence ratios (PR) and credible intervals (CIs). We estimated associations using the cumulative EQI and domain-specific EQIs; we assessed U.S. overall (non-stratified) as well as stratified by rural-urban continuum codes (RUCC) to assess rural/urban heterogeneity. Among the 71,577,118 U.S. adults with medical claims who could be geocoded to county of residence, 1,147,564 (1.6%) met the asthma definition. Worse environmental quality was associated with increased asthma prevalence using the non-RUCC-stratified cumulative EQI, comparing the worst to best EQI quintile (PR:1.27; 95% CI: 1.21, 1.34). Patterns varied among different EQI domains, as well as by rural/urban status. Poor environmental quality may increase asthma prevalence, but domain-specific drivers may operate differently depending on rural/urban status.
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Affiliation(s)
- Christine L Gray
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, CB# 7435, Chapel Hill, NC, 27599, United States; Oak Ridge Institute for Science and Education at the US Environmental Protection Agency, USEPA Human Studies Facility, 104 Mason Farm Rd, Chapel Hill, NC, 27514, United States.
| | - Danelle T Lobdell
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, MD 58A, Research Triangle Park, NC 27711, United States.
| | - Kristen M Rappazzo
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, MD 58A, Research Triangle Park, NC 27711, United States.
| | - Yun Jian
- Informatics Institute, School of Medicine, University of Alabama at Birmingham, 1720 2nd Avenue South, Birmingham, AL, United States.
| | - Jyotsna S Jagai
- Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago, 2121 W. Taylor Street, Chicago, IL, 60612, United States.
| | - Lynne C Messer
- School of Public Health, Oregon Health & Sciences University-Portland State University, 840 Gaines St., Portland, OR, United States.
| | - Achal P Patel
- Oak Ridge Associated Universities at the US Environmental Protection Agency, USEPA Human Studies Facility, 104 Mason Farm Rd, Chapel Hill, NC, 27514, United States.
| | - Stephanie A DeFlorio-Barker
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, MD 58A, Research Triangle Park, NC 27711, United States.
| | - Christopher Lyttle
- The Center for Health and the Social Sciences, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL 60637, United States.
| | - Julian Solway
- Department of Medicine, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL 60637, United States; Department of Pediatrics, Committee on Molecular Medicine, University of Chicago, 5721S, Maryland Avenue, Chicago, IL 60637, United States.
| | - Andrey Rzhetsky
- Department of Medicine, University of Chicago, 5841 S. Maryland Avenue, Chicago, IL 60637, United States; Department of Human Genetics, University of Chicago, 920 E 58th Street, Chicago, IL 60637, United States; Department of Medicine, Institute of Genomics and Systems Biology, and Computation Institute, University of Chicago, 5801 S. Ellis Avenue, Chicago, IL 60637, United States.
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19
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Lavery AM, Waubant E, Casper TC, Roalstad S, Candee M, Rose J, Belman A, Weinstock-Guttman B, Aaen G, Tillema JM, Rodriguez M, Ness J, Harris Y, Graves J, Krupp L, Charvet L, Benson L, Gorman M, Moodley M, Rensel M, Goyal M, Mar S, Chitnis T, Schreiner T, Lotze T, Greenberg B, Kahn I, Rubin J, Waldman AT. Urban air quality and associations with pediatric multiple sclerosis. Ann Clin Transl Neurol 2018; 5:1146-1153. [PMID: 30349849 PMCID: PMC6186930 DOI: 10.1002/acn3.616] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 05/12/2018] [Accepted: 06/01/2018] [Indexed: 01/26/2023] Open
Abstract
Background We previously identified air quality as a risk factor of interest for pediatric multiple sclerosis. The purpose of this study is to more closely examine the association between the six criteria air pollutants and pediatric MS as well as identify specific areas of toxic release using data from the Toxic Release Inventory. Methods Pediatric MS cases (N = 290) and healthy controls (N = 442) were included as part of an ongoing case-control study. We used the National Emissions Inventory system to estimate particulate exposure by county of residence for each participant. Proximity to Toxic Release Inventory (TRI) sites was also assessed using ArcGIS mapping tools. Risk-Screening Environmental Indicators (RSEI) classified counties at risk to exposure of environmental toxic releases. Results Fine particulate matter (PM 2.5), carbon monoxide (CO), sulfur dioxide (SO 2), and lead air emissions were associated with increased odds for pediatric MS (P < 0.01) for those residing within 20 miles of an MS center. Most study participants (75%) resided within 5 miles of at least one TRI site; however, the mean total pounds of stack air releases was higher for sites near MS cases (81,000 tons) compared to those near healthy controls (35,000 tons, P = 0.002). Average RSEI scores did not differ significantly between cases and controls. Conclusion Out of several air pollutants examined, we show that fine particulate matter and three other criteria pollutants (SO 2, CO, and lead) were statistically associated with higher odds for pediatric MS.
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Affiliation(s)
- Amy M Lavery
- Division of Child Neurology Children's Hospital of Philadelphia Philadelphia Pennsylvania
| | | | | | | | | | - John Rose
- University of Utah Salt Lake City Utah
| | | | | | - Greg Aaen
- Loma Linda University Children's Hospital Loma Linda California
| | | | | | - Jayne Ness
- University of Alabama Tuscaloosa Alabama
| | | | - Jennifer Graves
- University of California San Francisco San Francisco California
| | - Lauren Krupp
- New York University Medical Center New York New York
| | - Leigh Charvet
- New York University Medical Center New York New York
| | - Leslie Benson
- Boston Children's Pediatric MS Center Boston Massachusetts
| | - Mark Gorman
- Boston Children's Pediatric MS Center Boston Massachusetts
| | | | | | - Manu Goyal
- Washington University in St. Louis St. Louis Missouri
| | - Soe Mar
- Washington University in St. Louis St. Louis Missouri
| | - Tanuja Chitnis
- Brigham and Women's Hospital Harvard Medical School Boston Massachusetts
| | | | - Tim Lotze
- Texas Children's Hospital Houston Texas
| | | | - Ilana Kahn
- Children's National Medical Center Washington District of Columbia
| | | | - Amy T Waldman
- Division of Child Neurology Children's Hospital of Philadelphia Philadelphia Pennsylvania
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