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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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Liu Z, Luo Y, Kirimunda S, Verboom M, Onabajo OO, Gouveia MH, Ogwang MD, Kerchan P, Reynolds SJ, Tenge CN, Were PA, Kuremu RT, Wekesa WN, Masalu N, Kawira E, Kinyera T, Otim I, Legason ID, Nabalende H, Dhudha H, Ayers LW, Bhatia K, Goedert JJ, Cole N, Luo W, Liu J, Manning M, Hicks B, Prokunina-Olsson L, Chagaluka G, Johnston WT, Mutalima N, Borgstein E, Liomba GN, Kamiza S, Mkandawire N, Mitambo C, Molyneux EM, Newton R, Hsing AW, Mensah JE, Adjei AA, Hutchinson A, Carrington M, Yeager M, Blasczyk R, Chanock SJ, Raychaudhuri S, Mbulaiteye SM. Human leukocyte antigen-DQA1*04:01 and rs2040406 variants are associated with elevated risk of childhood Burkitt lymphoma. Commun Biol 2024; 7:41. [PMID: 38182727 PMCID: PMC10770398 DOI: 10.1038/s42003-023-05701-5] [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: 06/21/2023] [Accepted: 12/12/2023] [Indexed: 01/07/2024] Open
Abstract
Burkitt lymphoma (BL) is responsible for many childhood cancers in sub-Saharan Africa, where it is linked to recurrent or chronic infection by Epstein-Barr virus or Plasmodium falciparum. However, whether human leukocyte antigen (HLA) polymorphisms, which regulate immune response, are associated with BL has not been well investigated, which limits our understanding of BL etiology. Here we investigate this association among 4,645 children aged 0-15 years, 800 with BL, enrolled in Uganda, Tanzania, Kenya, and Malawi. HLA alleles are imputed with accuracy >90% for HLA class I and 85-89% for class II alleles. BL risk is elevated with HLA-DQA1*04:01 (adjusted odds ratio [OR] = 1.61, 95% confidence interval [CI] = 1.32-1.97, P = 3.71 × 10-6), with rs2040406(G) in HLA-DQA1 region (OR = 1.43, 95% CI = 1.26-1.63, P = 4.62 × 10-8), and with amino acid Gln at position 53 versus other variants in HLA-DQA1 (OR = 1.36, P = 2.06 × 10-6). The associations with HLA-DQA1*04:01 (OR = 1.29, P = 0.03) and rs2040406(G) (OR = 1.68, P = 0.019) persist in mutually adjusted models. The higher risk rs2040406(G) variant for BL is associated with decreased HLA-DQB1 expression in eQTLs in EBV transformed lymphocytes. Our results support the role of HLA variation in the etiology of BL and suggest that a promising area of research might be understanding the link between HLA variation and EBV control.
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Affiliation(s)
- Zhiwei Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Yang Luo
- Kennedy Institute of Rheumatology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Immunology, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Samuel Kirimunda
- College of Health Sciences, Makerere University, Kampala, Uganda
| | - Murielle Verboom
- Institute of Transfusion Medicine and Transplant Engineering, Hanover, Germany
| | - Olusegun O Onabajo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mateus H Gouveia
- Center for Research on Genomics & Global Health, NHGRI, National Institutes of Health, Bethesda, MD, USA
| | - Martin D Ogwang
- St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Patrick Kerchan
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Kuluva Hospital, Arua, Uganda
| | - Steven J Reynolds
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Constance N Tenge
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Moi University College of Health Sciences, Eldoret, Kenya
| | - Pamela A Were
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Academic Model Providing Access To Healthcare (AMPATH), Eldoret, Kenya
| | - Robert T Kuremu
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Moi University College of Health Sciences, Eldoret, Kenya
| | - Walter N Wekesa
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Moi University College of Health Sciences, Eldoret, Kenya
| | | | - Esther Kawira
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Shirati Health, Education, and Development Foundation, Shirati, Tanzania
| | - Tobias Kinyera
- St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Isaac Otim
- St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Ismail D Legason
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Kuluva Hospital, Arua, Uganda
| | - Hadijah Nabalende
- St. Mary's Hospital, Lacor, Gulu, Uganda
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
| | - Herry Dhudha
- EMBLEM Study, African Field Epidemiology Network, Kampala, Uganda
- Shirati Health, Education, and Development Foundation, Shirati, Tanzania
| | - Leona W Ayers
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Kishor Bhatia
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nathan Cole
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Wen Luo
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Jia Liu
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Michelle Manning
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Belynda Hicks
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | - George Chagaluka
- Departments of Pediatrics and Surgery, Kamuzu University of Health Sciences (formerly College of Medicine), University of Malawi, Blantyre, Malawi
| | - W Thomas Johnston
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Nora Mutalima
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Eric Borgstein
- Departments of Pediatrics and Surgery, Kamuzu University of Health Sciences (formerly College of Medicine), University of Malawi, Blantyre, Malawi
| | - George N Liomba
- Departments of Pediatrics and Surgery, Kamuzu University of Health Sciences (formerly College of Medicine), University of Malawi, Blantyre, Malawi
| | - Steve Kamiza
- Departments of Pediatrics and Surgery, Kamuzu University of Health Sciences (formerly College of Medicine), University of Malawi, Blantyre, Malawi
| | - Nyengo Mkandawire
- Departments of Pediatrics and Surgery, Kamuzu University of Health Sciences (formerly College of Medicine), University of Malawi, Blantyre, Malawi
| | - Collins Mitambo
- National Health Sciences Research Committee, Research Department, Ministry of Health, Lilongwe, Malawi
| | - Elizabeth M Molyneux
- Departments of Pediatrics and Surgery, Kamuzu University of Health Sciences (formerly College of Medicine), University of Malawi, Blantyre, Malawi
| | - Robert Newton
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK
| | - Ann W Hsing
- Stanford Cancer Institute, Stanford University, Stanford, CA, USA
| | | | | | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Rainer Blasczyk
- Institute of Transfusion Medicine and Transplant Engineering, Hanover, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Immunology, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sam M Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
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3
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Hedström AK. Risk factors for multiple sclerosis in the context of Epstein-Barr virus infection. Front Immunol 2023; 14:1212676. [PMID: 37554326 PMCID: PMC10406387 DOI: 10.3389/fimmu.2023.1212676] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 06/26/2023] [Indexed: 08/10/2023] Open
Abstract
Compelling evidence indicates that Epstein Barr virus (EBV) infection is a prerequisite for multiple sclerosis (MS). The disease may arise from a complex interplay between latent EBV infection, genetic predisposition, and various environmental and lifestyle factors that negatively affect immune control of the infection. Evidence of gene-environment interactions and epigenetic modifications triggered by environmental factors in genetically susceptible individuals supports this view. This review gives a short introduction to EBV and host immunity and discusses evidence indicating EBV as a prerequisite for MS. The role of genetic and environmental risk factors, and their interactions, in MS pathogenesis is reviewed and put in the context of EBV infection. Finally, possible preventive measures are discussed based on the findings presented.
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Affiliation(s)
- Anna Karin Hedström
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
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4
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Palmer WH, Norman PJ. The impact of HLA polymorphism on herpesvirus infection and disease. Immunogenetics 2023; 75:231-247. [PMID: 36595060 PMCID: PMC10205880 DOI: 10.1007/s00251-022-01288-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 11/24/2022] [Indexed: 01/04/2023]
Abstract
Human Leukocyte Antigens (HLA) are cell surface molecules, central in coordinating innate and adaptive immune responses, that are targets of strong diversifying natural selection by pathogens. Of these pathogens, human herpesviruses have a uniquely ancient relationship with our species, where coevolution likely has reciprocating impact on HLA and viral genomic diversity. Consistent with this notion, genetic variation at multiple HLA loci is strongly associated with modulating immunity to herpesvirus infection. Here, we synthesize published genetic associations of HLA with herpesvirus infection and disease, both from case/control and genome-wide association studies. We analyze genetic associations across the eight human herpesviruses and identify HLA alleles that are associated with diverse herpesvirus-related phenotypes. We find that whereas most HLA genetic associations are virus- or disease-specific, HLA-A*01 and HLA-A*02 allotypes may be more generally associated with immune susceptibility and control, respectively, across multiple herpesviruses. Connecting genetic association data with functional corroboration, we discuss mechanisms by which diverse HLA and cognate receptor allotypes direct variable immune responses during herpesvirus infection and pathogenesis. Together, this review examines the complexity of HLA-herpesvirus interactions driven by differential T cell and Natural Killer cell immune responses.
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Affiliation(s)
- William H. Palmer
- Department of Biomedical Informatics, University of Colorado, Aurora, CO USA
- Department of Immunology & Microbiology, University of Colorado, Aurora, CO USA
| | - Paul J. Norman
- Department of Biomedical Informatics, University of Colorado, Aurora, CO USA
- Department of Immunology & Microbiology, University of Colorado, Aurora, CO USA
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5
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Muckian MD, Wilson JF, Taylor GS, Stagg HR, Pirastu N. Mendelian randomisation identifies priority groups for prophylactic EBV vaccination. BMC Infect Dis 2023; 23:65. [PMID: 36737699 PMCID: PMC9896437 DOI: 10.1186/s12879-023-08031-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 01/24/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Epstein Barr virus (EBV) infects ~ 95% of the population worldwide and is known to cause adverse health outcomes such as Hodgkin's, non-Hodgkin's lymphomas, and multiple sclerosis. There is substantial interest and investment in developing infection-preventing vaccines for EBV. To effectively deploy such vaccines, it is vital that we understand the risk factors for infection. Why particular individuals do not become infected is currently unknown. The current literature, describes complex, often conflicting webs of intersecting factors-sociodemographic, clinical, genetic, environmental-, rendering causality difficult to decipher. We aimed to use Mendelian randomization (MR) to overcome the issues posed by confounding and reverse causality to determine the causal risk factors for the acquisition of EBV. METHODS We mapped the complex evidence from the literature prior to this study factors associated with EBV serostatus (as a proxy for infection) into a causal diagram to determine putative risk factors for our study. Using data from the UK Biobank of 8422 individuals genomically deemed to be of white British ancestry between the ages of 40 and 69 at recruitment between the years 2006 and 2010, we performed a genome wide association study (GWAS) of EBV serostatus, followed by a Two Sample MR to determine which putative risk factors were causal. RESULTS Our GWAS identified two novel loci associated with EBV serostatus. In MR analyses, we confirmed shorter time in education, an increase in number of sexual partners, and a lower age of smoking commencement, to be causal risk factors for EBV serostatus. CONCLUSIONS Given the current interest and likelihood of a future EBV vaccine, these factors can inform vaccine development and deployment strategies by completing the puzzle of causality. Knowing these risk factors allows identification of those most likely to acquire EBV, giving insight into what age to vaccinate and who to prioritise when a vaccine is introduced.
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Affiliation(s)
- Marisa D. Muckian
- grid.4305.20000 0004 1936 7988Old Medical School, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG UK
| | - James F. Wilson
- grid.4305.20000 0004 1936 7988Old Medical School, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG UK ,grid.4305.20000 0004 1936 7988MRC Human Genetics Unit, Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Crewe Road, Edinburgh, EH4 2XU UK
| | - Graham S. Taylor
- grid.6572.60000 0004 1936 7486Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, B15 2TT UK
| | - Helen R. Stagg
- grid.4305.20000 0004 1936 7988Old Medical School, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG UK
| | - Nicola Pirastu
- grid.4305.20000 0004 1936 7988Old Medical School, Usher Institute, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG UK ,grid.510779.d0000 0004 9414 6915Human Technopole, Viale Rita Levi-Montalcini, 1, Area MIND–Cargo 6, 20157 Milan, Italy
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6
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Thomas OG, Rickinson A, Palendira U. Epstein-Barr virus and multiple sclerosis: moving from questions of association to questions of mechanism. Clin Transl Immunology 2023; 12:e1451. [PMID: 37206956 PMCID: PMC10191779 DOI: 10.1002/cti2.1451] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/28/2023] [Accepted: 04/28/2023] [Indexed: 05/21/2023] Open
Abstract
The link between Epstein-Barr virus (EBV) and multiple sclerosis (MS) has puzzled researchers since it was first discovered over 40 years ago. Until that point, EBV was primarily viewed as a cancer-causing agent, but the culmination of evidence now shows that EBV has a pivotal role in development of MS. Early MS disease is characterised by episodic neuroinflammation and focal lesions in the central nervous system (CNS) that over time develop into progressive neurodegeneration and disability. Risk of MS is vanishingly low in EBV seronegative individuals, history of infectious mononucleosis (acute symptomatic primary infection with EBV) significantly increases risk and elevated antibody titres directed against EBV antigens are well-characterised in patients. However, the underlying mechanism - or mechanisms - responsible for this interplay remains to be fully elucidated; how does EBV-induced immune dysregulation either trigger or drive MS in susceptible individuals? Furthermore, deep understanding of virological and immunological events during primary infection and long-term persistence in B cells will help to answer the many questions that remain regarding MS pathogenesis. This review discusses the current evidence and mechanisms surrounding EBV and MS, which have important implications for the future of MS therapies and prevention.
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Affiliation(s)
- Olivia G Thomas
- Department of Clinical Neuroscience, Therapeutic Immune Design, Centre for Molecular MedicineKarolinska InstituteStockholmSweden
| | - Alan Rickinson
- Institute of Cancer and Genomic Sciences, College of Medical and Dental SciencesUniversity of Birmingham, EdgbastonBirminghamUK
| | - Umaimainthan Palendira
- School of Medical Sciences, Faculty of Medicine and HealthThe University of SydneyCamperdownNSWAustralia
- Charles Perkins CentreThe University of SydneyCamperdownNSWAustralia
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7
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Schönrich G, Abdelaziz MO, Raftery MJ. Epstein-Barr virus, interleukin-10 and multiple sclerosis: A ménage à trois. Front Immunol 2022; 13:1028972. [PMID: 36275700 PMCID: PMC9585213 DOI: 10.3389/fimmu.2022.1028972] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 09/23/2022] [Indexed: 12/30/2022] Open
Abstract
Multiple Sclerosis (MS) is an autoimmune disease that is characterized by inflammation and demyelination of nerve cells. There is strong evidence that Epstein-Barr virus (EBV), a human herpesvirus infecting B cells, greatly increases the risk of subsequent MS. Intriguingly, EBV not only induces human interleukin-10 but also encodes a homologue of this molecule, which is a key anti-inflammatory cytokine of the immune system. Although EBV-encoded IL-10 (ebvIL-10) has a high amino acid identity with its cellular counterpart (cIL-10), it shows more restricted and partially weaker functionality. We propose that both EBV-induced cIL-10 and ebvIL-10 act in a temporally and functionally coordinated manner helping the pathogen to establish latency in B cells and, at the same time, to balance the function of antiviral T cells. As a result, the EBV load persisting in the immune system is kept at a constant but individually different level (set point). During this immunological tug of war between virus and host, however, MS can be induced as collateral damage if the set point is too high. Here, we discuss a possible role of ebvIL-10 and EBV-induced cIL-10 in EBV-driven pathogenesis of MS.
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Affiliation(s)
- Günther Schönrich
- Institute of Virology, Charité– Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany,*Correspondence: Günther Schönrich,
| | - Mohammed O. Abdelaziz
- Institute of Virology, Charité– Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Martin J. Raftery
- Institute of Virology, Charité– Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany,Department of Hematology, Oncology and Tumor Immunology (CCM), Charité– Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
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8
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Venkataraman T, Valencia C, Mangino M, Morgenlander W, Clipman SJ, Liechti T, Valencia A, Christofidou P, Spector T, Roederer M, Duggal P, Larman HB. Analysis of antibody binding specificities in twin and SNP-genotyped cohorts reveals that antiviral antibody epitope selection is a heritable trait. Immunity 2022; 55:174-184.e5. [PMID: 35021055 PMCID: PMC8852220 DOI: 10.1016/j.immuni.2021.12.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 08/19/2021] [Accepted: 12/07/2021] [Indexed: 01/13/2023]
Abstract
Human immune responses to viral infections are highly variable, but the genetic factors that contribute to this variability are not well characterized. We used VirScan, a high-throughput epitope scanning technology, to analyze pan-viral antibody reactivity profiles of twins and SNP-genotyped individuals. Using these data, we determined the heritability and genomic loci associated with antibody epitope selection, response breadth, and control of Epstein-Barr virus (EBV) viral load. 107 EBV peptide reactivities were heritable and at least two Epstein-Barr nuclear antigen 2 (EBNA-2) reactivities were associated with variants in the MHC class II locus. We identified an EBV serosignature that predicted viral load in peripheral blood mononuclear cells and was associated with variants in the MHC class I locus. Our study illustrates the utility of epitope profiling to investigate the genetics of pathogen immunity, reports heritable features of the antibody response to viruses, and identifies specific HLA loci important for EBV epitope selection.
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Affiliation(s)
- Thiagarajan Venkataraman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Cristian Valencia
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Massimo Mangino
- Department of Twin Research & Genetic Epidemiology, King’s College of London, London, UK,NIHR Biomedical Research Centre at Guy’s and St Thomas’ Foundation Trust, London SE1 9RT, UK
| | - William Morgenlander
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Steven J. Clipman
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Thomas Liechti
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA
| | - Ana Valencia
- School of Medicine, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Paraskevi Christofidou
- Department of Twin Research & Genetic Epidemiology, King’s College of London, London, UK
| | - Tim Spector
- Department of Twin Research & Genetic Epidemiology, King’s College of London, London, UK
| | - Mario Roederer
- ImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA
| | - Priya Duggal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - H. Benjamin Larman
- Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA,Lead contact,Correspondence: (H.B.L)
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9
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Liu Z, Sarathkumara YD, Chan JKC, Kwong YL, Lam TH, Ip DKM, Chiu BCH, Xu J, Su YC, Proietti C, Cooper MM, Yu KJ, Bassig B, Liang R, Hu W, Ji BT, Coghill AE, Pfeiffer RM, Hildesheim A, Rothman N, Doolan DL, Lan Q. Characterization of the humoral immune response to the EBV proteome in extranodal NK/T-cell lymphoma. Sci Rep 2021; 11:23664. [PMID: 34880297 PMCID: PMC8655014 DOI: 10.1038/s41598-021-02788-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 11/08/2021] [Indexed: 11/30/2022] Open
Abstract
Extranodal natural killer/T-cell lymphoma (NKTCL) is an aggressive malignancy that has been etiologically linked to Epstein-Barr virus (EBV) infection, with EBV gene transcripts identified in almost all cases. However, the humoral immune response to EBV in NKTCL patients has not been well characterized. We examined the antibody response to EBV in plasma samples from 51 NKTCL cases and 154 controls from Hong Kong and Taiwan who were part of the multi-center, hospital-based AsiaLymph case–control study. The EBV-directed serological response was characterized using a protein microarray that measured IgG and IgA antibodies against 202 protein sequences representing the entire EBV proteome. We analyzed 157 IgG antibodies and 127 IgA antibodies that fulfilled quality control requirements. Associations between EBV serology and NKTCL status were disproportionately observed for IgG rather than IgA antibodies. Nine anti-EBV IgG responses were significantly elevated in NKTCL cases compared with controls and had ORshighest vs. lowest tertile > 6.0 (Bonferroni-corrected P-values < 0.05). Among these nine elevated IgG responses in NKTCL patients, three IgG antibodies (all targeting EBNA3A) are novel and have not been observed for other EBV-associated tumors of B-cell or epithelial origin. IgG antibodies against EBNA1, which have consistently been elevated in other EBV-associated tumors, were not elevated in NKTCL cases. We characterize the antibody response against EBV for patients with NKTCL and identify IgG antibody responses against six distinct EBV proteins. Our findings suggest distinct serologic patterns of this NK/T-cell lymphoma compared with other EBV-associated tumors of B-cell or epithelial origin.
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Affiliation(s)
- Zhiwei Liu
- Division of Cancer Epidemiology and Genetics, 9609 Medical Center Drive, National Cancer Institute, Rockville, MD, 20850, USA.
| | - Yomani D Sarathkumara
- Centre for Molecular Therapeutics, Australian Institute of Tropical Health of Medicine, James Cook University, Cairns, Australia
| | - John K C Chan
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong, SAR, China
| | - Yok-Lam Kwong
- Queen Mary Hospital, The University of Hong Kong, Hong Kong, SAR, China
| | - Tai Hing Lam
- School of Public Health, Faculty of Medicine, Li Ka Shing (LKS), The University of Hong Kong, Hong Kong, SAR, China
| | - Dennis Kai Ming Ip
- School of Public Health, Faculty of Medicine, Li Ka Shing (LKS), The University of Hong Kong, Hong Kong, SAR, China
| | - Brian C-H Chiu
- Department of Public Health Sciences, University of Chicago, Chicago, USA
| | - Jun Xu
- School of Public Health, Faculty of Medicine, Li Ka Shing (LKS), The University of Hong Kong, Hong Kong, SAR, China
| | - Yu-Chieh Su
- Department of Medicine, School of Medicine, I-Shou University, Kaohsiung, Taiwan.,Division of Hematology-Oncology, Department of Internal Medicine, E-Da Hospital, Kaohsiung, Taiwan
| | - Carla Proietti
- Centre for Molecular Therapeutics, Australian Institute of Tropical Health of Medicine, James Cook University, Cairns, Australia
| | - Martha M Cooper
- Centre for Molecular Therapeutics, Australian Institute of Tropical Health of Medicine, James Cook University, Cairns, Australia
| | - Kelly J Yu
- Division of Cancer Epidemiology and Genetics, 9609 Medical Center Drive, National Cancer Institute, Rockville, MD, 20850, USA
| | - Bryan Bassig
- Division of Cancer Epidemiology and Genetics, 9609 Medical Center Drive, National Cancer Institute, Rockville, MD, 20850, USA
| | - Raymond Liang
- Hong Kong Sanatorium & Hospital, Hong Kong, SAR, China
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, 9609 Medical Center Drive, National Cancer Institute, Rockville, MD, 20850, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, 9609 Medical Center Drive, National Cancer Institute, Rockville, MD, 20850, USA
| | - Anna E Coghill
- Cancer Epidemiology Program, Division of Population Sciences, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, 9609 Medical Center Drive, National Cancer Institute, Rockville, MD, 20850, USA
| | - Allan Hildesheim
- Division of Cancer Epidemiology and Genetics, 9609 Medical Center Drive, National Cancer Institute, Rockville, MD, 20850, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, 9609 Medical Center Drive, National Cancer Institute, Rockville, MD, 20850, USA
| | - Denise L Doolan
- Centre for Molecular Therapeutics, Australian Institute of Tropical Health of Medicine, James Cook University, Cairns, Australia
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, 9609 Medical Center Drive, National Cancer Institute, Rockville, MD, 20850, USA
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10
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Douillard V, Castelli EC, Mack SJ, Hollenbach JA, Gourraud PA, Vince N, Limou S. Current HLA Investigations on SARS-CoV-2 and Perspectives. Front Genet 2021; 12:774922. [PMID: 34912378 PMCID: PMC8667766 DOI: 10.3389/fgene.2021.774922] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/08/2021] [Indexed: 01/11/2023] Open
Abstract
The rapid, global spread of the SARS-CoV-2 virus during the current pandemic has triggered numerous efforts in clinical and research settings to better understand the host genetics' interactions and the severity of COVID-19. Due to the established major role played by MHC/HLA polymorphism in infectious disease course and susceptibility, immunologists and geneticists have teamed up to investigate its contribution to the SARS-CoV-2 infection and COVID-19 progression. A major goal of the Covid-19|HLA & Immunogenetics Consortium is to support and unify these efforts. Here, we present a review of HLA immunogenomics studies in the SARS-CoV-2 pandemic and reflect on the role of various HLA data, their limitation and future perspectives.
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Affiliation(s)
- Venceslas Douillard
- Université de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France
| | | | - Steven J. Mack
- Division of Allergy, Immunology and Bone Marrow Transplantation, Department of Pediatrics, School of Medicine, University of California, San Francisco, CA, United States
| | - Jill A. Hollenbach
- Department of Neurology, University of California, San Francisco and Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States
| | - Pierre-Antoine Gourraud
- Université de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France
| | - Nicolas Vince
- Université de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France
| | - Sophie Limou
- Université de Nantes, CHU Nantes, Inserm, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, Nantes, France
- Ecole Centrale de Nantes, Department of Computer Sciences and Mathematics in Biology, Nantes, France
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11
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Xu Y, Hiyoshi A, Smith KA, Piehl F, Olsson T, Fall K, Montgomery S. Association of Infectious Mononucleosis in Childhood and Adolescence With Risk for a Subsequent Multiple Sclerosis Diagnosis Among Siblings. JAMA Netw Open 2021; 4:e2124932. [PMID: 34633426 PMCID: PMC8506233 DOI: 10.1001/jamanetworkopen.2021.24932] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
IMPORTANCE Epstein-Barr virus and its acute manifestation, infectious mononucleosis (IM), are associated with an increased risk of multiple sclerosis (MS). Whether this association is confounded by susceptibility to infection is still debated. OBJECTIVE To assess whether hospital-diagnosed IM during childhood, adolescence, or young adulthood is associated with subsequent MS diagnosis independent of shared familial factors. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study used the Swedish Total Population Register to identify individuals born in Sweden from January 1, 1958, to December 31, 1994. Participants aged 20 years were followed up from January 1, 1978, to December 31, 2018, with a median follow-up of 15.38 (IQR, 8.68-23.55; range, 0.01-40.96) years. Data were analyzed from October 2020 to July 2021. EXPOSURE Hospital-diagnosed IM before 25 years of age. MAIN OUTCOMES AND MEASURES Diagnoses of MS from 20 years of age were identified. Risk of an MS diagnosis associated with IM in childhood (birth to 10 years of age), adolescence (11-19 years of age), and early adulthood (20-24 years of age [time-dependent variable]) were estimated using conventional and stratified (to address familial environmental or genetic confounding) Cox proportional hazards regression. RESULTS Of the 2 492 980 individuals (1 312 119 men [52.63%] and 1 180 861 women [47.37%]) included, 5867 (0.24%) had an MS diagnosis from 20 years of age (median age, 31.50 [IQR, 26.78-37.54] years). Infectious mononucleosis in childhood (hazard ratio [HR], 1.98; 95% CI, 1.21-3.23) and adolescence (HR, 3.00; 95% CI, 2.48-3.63) was associated with an increased risk of an MS diagnosis that remained significant after controlling for shared familial factors in stratified Cox proportional hazards regression (HRs, 2.87 [95% CI, 1.44-5.74] and 3.19 [95% CI, 2.29-4.46], respectively). Infectious mononucleosis in early adulthood was also associated with risk of a subsequent MS diagnosis (HR, 1.89; 95% CI, 1.18-3.05), but this risk was attenuated and was not significant after controlling for shared familial factors (HR, 1.51; 95% CI, 0.82-2.76). CONCLUSIONS AND RELEVANCE These findings suggest that IM in childhood and particularly adolescence is a risk factor associated with a diagnosis of MS, independent of shared familial factors.
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Affiliation(s)
- Yin Xu
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Ayako Hiyoshi
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Public Health Sciences, Stockholm University, Stockholm, Sweden
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Kelsi A. Smith
- Clinical Epidemiology Division, Karolinska Institute, Stockholm, Sweden
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Katja Fall
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden
- Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Scott Montgomery
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
- Clinical Epidemiology Division, Karolinska Institute, Stockholm, Sweden
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12
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Yuan L, Deng C, Xue W, He Y, Wang T, Zhang J, Yang D, Zhou T, Wu Z, Liao Y, Zheng M, Li D, Cao L, Jia Y, Zhang W, Xiao R, Luo L, Tong X, Wu Y, Huang J, Jia W. Association between HLA alleles and Epstein-Barr virus Zta-IgA serological status in healthy males from southern China. J Gene Med 2021; 23:e3375. [PMID: 34164868 PMCID: PMC8596395 DOI: 10.1002/jgm.3375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 06/22/2021] [Indexed: 11/12/2022] Open
Abstract
Background Nasopharyngeal carcinoma (NPC), an Epstein–Barr virus (EBV) associated cancer, exhibits an extremely high incidence in southern Chinese. Given that human leukocyte antigen (HLA) plays critical roles in antigen presentation and relates to NPC susceptibility, it is speculated that certain HLA variants may affect EBV reactivation, which is a key pathogenic factor of NPC. Therefore, we attempted to identify HLA alleles associated with the indicator of EBV reactivation, Zta‐IgA, in healthy males from NPC endemic area. Methods HLA alleles of 1078 healthy males in southern China from the 21‐RCCP study were imputed using genome‐wide single nucleotide polymorphism data. EBV Zta‐IgA in blood samples were measured using an enzyme‐linked immunosorbent assay. Multiple logistic regression analysis was used to evaluate the effect of HLA allele on Zta‐IgA serological status and its potential joint association with smoking. The binding affinity for Zta‐peptide was predicted using NetMHCIIpan 4.0. Results HLA‐DRB1*09:01 was found to be associated with a higher risk of Zta‐IgA seropositivity (odds ratio = 1.80, 95% confidence interval = 1.32–2.45; p = 1.82 × 10−4). Compared with non‐smokers without HLA‐DRB1*09:01, the effect size increased to 2.19‐ and 3.70‐fold for the light and heavy smokers carrying HLA‐DRB1*09:01, respectively. Furthermore, HLA‐DRB1*09:01 showed a stronger binding affinity to Zta peptide than other HLA‐DRB1 alleles. Conclusions Our study highlighted the pivotal role of genetic HLA variants in EBV reactivation and the etiology of NPC. Smokers with HLA‐DRB1*09:01 have a significantly higher risk of being Zta‐IgA seropositive, which indicates the necessity of smoking cessation in certain high‐risk populations and also provide clues for further research on the etiology of NPC.
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Affiliation(s)
- Lei‐Lei Yuan
- School of Public HealthSun Yat‐sen UniversityGuangzhouChina
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Chang‐Mi Deng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Wen‐Qiong Xue
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Yong‐Qiao He
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Tong‐Min Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Jiang‐Bo Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Da‐Wei Yang
- School of Public HealthSun Yat‐sen UniversityGuangzhouChina
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Ting Zhou
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Zi‐Yi Wu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Ying Liao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Mei‐Qi Zheng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Dan‐Hua Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Lian‐Jing Cao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Yi‐Jing Jia
- School of Public HealthSun Yat‐sen UniversityGuangzhouChina
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Wen‐Li Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Ruo‐Wen Xiao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Lu‐Ting Luo
- School of Public HealthSun Yat‐sen UniversityGuangzhouChina
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Xia‐Ting Tong
- School of Public HealthSun Yat‐sen UniversityGuangzhouChina
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Yan‐Xia Wu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Jing‐Wen Huang
- School of Public HealthSun Yat‐sen UniversityGuangzhouChina
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Wei‐Hua Jia
- School of Public HealthSun Yat‐sen UniversityGuangzhouChina
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐sen University Cancer CenterGuangzhouChina
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13
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Jakhmola S, Upadhyay A, Jain K, Mishra A, Jha HC. Herpesviruses and the hidden links to Multiple Sclerosis neuropathology. J Neuroimmunol 2021; 358:577636. [PMID: 34174587 DOI: 10.1016/j.jneuroim.2021.577636] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/01/2021] [Accepted: 06/17/2021] [Indexed: 01/08/2023]
Abstract
Herpesviruses like Epstein-Barr virus, human herpesvirus (HHV)-6, HHV-1, VZV, and human endogenous retroviruses, have an age-old clinical association with multiple sclerosis (MS). MS is an autoimmune disease of the nervous system wherein the myelin sheath deteriorates. The most popular mode of virus mediated immune system manipulation is molecular mimicry. Numerous herpesvirus antigens are similar to myelin proteins. Other mechanisms described here include the activity of cytokines and autoantibodies produced by the autoreactive T and B cells, respectively, viral déjà vu, epitope spreading, CD46 receptor engagement, impaired remyelination etc. Overall, this review addresses the host-parasite association of viruses with MS.
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Affiliation(s)
- Shweta Jakhmola
- Infection Bioengineering Group, Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, India
| | - Arun Upadhyay
- Cellular and Molecular Neurobiology Unit, Indian Institute of Technology, Jodhpur, India
| | - Khushboo Jain
- Infection Bioengineering Group, Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, India
| | - Amit Mishra
- Cellular and Molecular Neurobiology Unit, Indian Institute of Technology, Jodhpur, India
| | - Hem Chandra Jha
- Infection Bioengineering Group, Department of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, India.
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14
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Hodel F, Chong AY, Scepanovic P, Xu ZM, Naret O, Thorball CW, Rüeger S, Marques-Vidal P, Vollenweider P, Begemann M, Ehrenreich H, Brenner N, Bender N, Waterboer T, Mentzer AJ, Hill AVS, Hammer C, Fellay J. Human genomics of the humoral immune response against polyomaviruses. Virus Evol 2021; 7:veab058. [PMID: 34532061 PMCID: PMC8438875 DOI: 10.1093/ve/veab058] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 04/30/2021] [Accepted: 06/09/2021] [Indexed: 12/21/2022] Open
Abstract
Human polyomaviruses are widespread in humans and can cause severe disease in immunocompromised individuals. To identify human genetic determinants of the humoral immune response against polyomaviruses, we performed genome-wide association studies and meta-analyses of qualitative and quantitative immunoglobulin G responses against BK polyomavirus (BKPyV), JC polyomavirus (JCPyV), Merkel cellpolyomavirus (MCPyV), WU polyomavirus (WUPyV), and human polyomavirus 6 (HPyV6) in 15,660 individuals of European ancestry from three independent studies. We observed significant associations for all tested viruses: JCPyV, HPyV6, and MCPyV associated with human leukocyte antigen class II variation, BKPyV and JCPyV with variants in FUT2, responsible for secretor status, MCPyV with variants in STING1, involved in interferon induction, and WUPyV with a functional variant in MUC1, previously associated with risk for gastric cancer. These results provide insights into the genetic control of a family of very prevalent human viruses, highlighting genes and pathways that play a modulating role in human humoral immunity.
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Affiliation(s)
| | - A Y Chong
- The Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, United Kingdom
| | - P Scepanovic
- Roche Pharmaceutical Research and Early Development, F. Hoffmann-La Roche Ltd, Headquarters Grenzacherstrasse 124, CH-4070 Basel, Switzerland
| | - Z M Xu
- Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland,Swiss Institute of Bioinformatics, Quartier UNIL-Sorge, CH-1015 Lausanne, Switzerland
| | - O Naret
- Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland,Swiss Institute of Bioinformatics, Quartier UNIL-Sorge, CH-1015 Lausanne, Switzerland
| | - C W Thorball
- Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland,Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland
| | - S Rüeger
- Institute for Molecular Medicine Finland, Institute of Life Science HiLIFE, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - P Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, CH-1011 Lausanne, Switzerland
| | | | - M Begemann
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain, Hermann-Rein-Straße 3, 37075 Göttingen, Germany
| | - H Ehrenreich
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain, Hermann-Rein-Straße 3, 37075 Göttingen, Germany
| | - N Brenner
- Infections and Cancer Epidemiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - N Bender
- Infections and Cancer Epidemiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - T Waterboer
- Infections and Cancer Epidemiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | | | - A V S Hill
- The Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, United Kingdom,The Jenner Institute, University of Oxford, Old Road Campus Research Build, Roosevelt Dr, Oxford OX1 2JD, United Kingdom
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15
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Langton DJ, Bourke SC, Lie BA, Reiff G, Natu S, Darlay R, Burn J, Echevarria C. The influence of HLA genotype on the severity of COVID-19 infection. HLA 2021; 98:14-22. [PMID: 33896121 PMCID: PMC8251294 DOI: 10.1111/tan.14284] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 04/19/2021] [Indexed: 12/17/2022]
Abstract
The impact of COVID‐19 varies markedly, not only between individual patients but also between different populations. We hypothesised that differences in HLA genes might influence this variation. Using next generation sequencing, we analysed the class I and class II classical HLA genes of 147 individuals of European descent experiencing variable clinical outcomes following COVID‐19 infection. Forty‐nine of these patients were admitted to hospital with severe respiratory disease. They had no significant pre‐existing comorbidities. We compared the results to those obtained from a group of 69 asymptomatic hospital workers who evidence of COVID exposure based on blood antibody testing. Allele frequencies in both the severe and asymptomatic groups were compared to local and national healthy controls with adjustments made for age and sex. With the inclusion of hospital staff who had reported localised symptoms only (limited to loss of smell/taste, n = 13) or systemic symptoms not requiring hospital treatment (n = 16), we carried out ordinal logistic regression modelling to determine the relative influence of age, BMI, sex and the presence of specific HLA genes on symptomatology. We found a significant difference in the allele frequency of HLA‐DRB1*04:01 in the severe patient compared to the asymptomatic staff group (5.1% vs. 16.7%, P = .003 after adjustment for age and sex). There was a significantly lower frequency of the haplotype DQA1*01:01‐DQB1*05:01‐DRB1*01:01 in the asymptomatic group compared to the background population (P = .007). Ordinal logistic regression modelling confirmed the significant influence of DRB1*04:01 on the clinical severity of COVID‐19 observed in the cohorts. These alleles are found in greater frequencies in the North Western European population. This regional study provides evidence that HLA genotype influences clinical outcome in COVID‐19 infection. Validation studies must take account of the complex genetic architecture of the immune system across different geographies and ethnicities.
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Affiliation(s)
- David J Langton
- ExplantLab, The Biosphere, Newcastle Helix, Newcastle-upon-Tyne, UK
| | - Stephen C Bourke
- Northumbria Healthcare NHS Trust, North Tyneside General Hospital, North Shields, Tyne and Wear, UK
| | - Benedicte A Lie
- Department of Medical Genetics, University of Oslo, Oslo, Norway
| | | | | | - Rebecca Darlay
- Newcastle University Translational and Clinical Research Institute, International Centre for Life (for John Burn) and Population & Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom, for Rebecca Darlay, Newcastle-upon-Tyne, UK
| | - John Burn
- Newcastle University Translational and Clinical Research Institute, International Centre for Life (for John Burn) and Population & Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom, for Rebecca Darlay, Newcastle-upon-Tyne, UK
| | - Carlos Echevarria
- Translational and Clinical Research Institute, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
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16
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Thorball CW, Fellay J, Borghesi A. Immunological lessons from genome-wide association studies of infections. Curr Opin Immunol 2021; 72:87-93. [PMID: 33878603 DOI: 10.1016/j.coi.2021.03.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 03/24/2021] [Accepted: 03/27/2021] [Indexed: 02/06/2023]
Abstract
Over the past few years, genome-wide association studies (GWAS) have been increasingly applied to identify host genetic factors influencing clinical and laboratory traits related to immunity and infection, and to understand the interplay between the host and the microbial genomes. By screening large cohorts of individuals suffering from various infectious diseases, GWAS explored resistance against infection, natural history of the disease, development of life-threatening clinical signs, and innate and adaptive immune responses. These efforts provided fundamental insight on the role of major genes in the interindividual variability in the response to infection and on the mechanisms of the immune response against human pathogens both at the individual and population levels.
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Affiliation(s)
- Christian W Thorball
- Precision Medicine Unit, Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
| | - Jacques Fellay
- Precision Medicine Unit, Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland; School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Alessandro Borghesi
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Neonatal Intensive Care Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
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17
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Rüeger S, Hammer C, Loetscher A, McLaren PJ, Lawless D, Naret O, Khanna N, Bernasconi E, Cavassini M, Günthard HF, Kahlert CR, Rauch A, Depledge DP, Morfopoulou S, Breuer J, Zdobnov E, Fellay J. The influence of human genetic variation on Epstein-Barr virus sequence diversity. Sci Rep 2021; 11:4586. [PMID: 33633271 PMCID: PMC7907281 DOI: 10.1038/s41598-021-84070-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 02/11/2021] [Indexed: 02/07/2023] Open
Abstract
Epstein-Barr virus (EBV) is one of the most common viruses latently infecting humans. Little is known about the impact of human genetic variation on the large inter-individual differences observed in response to EBV infection. To search for a potential imprint of host genomic variation on the EBV sequence, we jointly analyzed paired viral and human genomic data from 268 HIV-coinfected individuals with CD4 + T cell count < 200/mm3 and elevated EBV viremia. We hypothesized that the reactivated virus circulating in these patients could carry sequence variants acquired during primary EBV infection, thereby providing a snapshot of early adaptation to the pressure exerted on EBV by the individual immune response. We searched for associations between host and pathogen genetic variants, taking into account human and EBV population structure. Our analyses revealed significant associations between human and EBV sequence variation. Three polymorphic regions in the human genome were found to be associated with EBV variation: one at the amino acid level (BRLF1:p.Lys316Glu); and two at the gene level (burden testing of rare variants in BALF5 and BBRF1). Our findings confirm that jointly analyzing host and pathogen genomes can identify sites of genomic interactions, which could help dissect pathogenic mechanisms and suggest new therapeutic avenues.
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Affiliation(s)
- Sina Rüeger
- School of Life Sciences, EPFL, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | | | - Alexis Loetscher
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Paul J McLaren
- JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, Winnipeg, MB, Canada
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
| | - Dylan Lawless
- School of Life Sciences, EPFL, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Olivier Naret
- School of Life Sciences, EPFL, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Nina Khanna
- Department of Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Enos Bernasconi
- Division of Infectious Diseases, Regional Hospital Lugano, Lugano, Switzerland
| | - Matthias Cavassini
- Division of Infectious Diseases, University Hospital Lausanne, University of Lausanne, Lausanne, Switzerland
| | - Huldrych F Günthard
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Christian R Kahlert
- Division of Infectious Diseases and Hospital Epidemiology, Cantonal Hospital St.Gallen, St.Gallen, Switzerland
- Childrens Hospital of Eastern Switzerland, St. Gallen, Switzerland
| | - Andri Rauch
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Daniel P Depledge
- Division of Infection and Immunity, University College London, London, UK
| | - Sofia Morfopoulou
- Division of Infection and Immunity, University College London, London, UK
| | - Judith Breuer
- Division of Infection and Immunity, University College London, London, UK
| | - Evgeny Zdobnov
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
| | - Jacques Fellay
- School of Life Sciences, EPFL, Lausanne, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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18
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Lee MH, Huang YH, Coghill AE, Liu Z, Yu KJ, Hsu WL, Chien YC, Wang CP, Chen TC, Chen CJ, Hildesheim A. Epstein-Barr Virus-Based Nasopharyngeal Carcinoma (NPC) Risk Prediction Scores Are Elevated in NPC Multiplex Family Members in Taiwan. J Infect Dis 2021; 223:441-444. [PMID: 32614957 DOI: 10.1093/infdis/jiaa385] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 06/27/2020] [Indexed: 12/27/2022] Open
Abstract
Nasopharyngeal carcinoma (NPC) is caused by Epstein-Barr virus (EBV) and is more likely to occur in susceptible families. Whether genetic susceptibility operates through altered EBV control is incompletely understood. We used a NPC risk prediction model based on 14 EBV markers to compare risk score distribution in unaffected members from multiplex families with that in population-based controls. Despite the absence of NPC at the time of antibody measurement, we observed an upward shift in risk score among multiplex family members compared to the general population, consistent with the possibility that genetic factors affect NPC risk through alterations in EBV control.
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Affiliation(s)
- Mei-Hsuan Lee
- Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Yu-Han Huang
- Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Anna E Coghill
- Cancer Epidemiology Program, Division of Population Science, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Zhiwei Liu
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Kelly J Yu
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Wan-Lun Hsu
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.,Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Yin-Chu Chien
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Cheng-Ping Wang
- Department of Otolaryngology, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Tseng-Cheng Chen
- Department of Otolaryngology, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Allan Hildesheim
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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19
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Graff RE, Cavazos TB, Thai KK, Kachuri L, Rashkin SR, Hoffman JD, Alexeeff SE, Blatchins M, Meyers TJ, Leong L, Tai CG, Emami NC, Corley DA, Kushi LH, Ziv E, Van Den Eeden SK, Jorgenson E, Hoffmann TJ, Habel LA, Witte JS, Sakoda LC. Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts. Nat Commun 2021; 12:970. [PMID: 33579919 PMCID: PMC7880989 DOI: 10.1038/s41467-021-21288-z] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 01/19/2021] [Indexed: 02/07/2023] Open
Abstract
Even distinct cancer types share biological hallmarks. Here, we investigate polygenic risk score (PRS)-specific pleiotropy across 16 cancers in European ancestry individuals from the Genetic Epidemiology Research on Adult Health and Aging cohort (16,012 cases, 50,552 controls) and UK Biobank (48,969 cases, 359,802 controls). Within cohorts, each PRS is evaluated in multivariable logistic regression models against all other cancer types. Results are then meta-analyzed across cohorts. Ten positive and one inverse cross-cancer associations are found after multiple testing correction. Two pairs show bidirectional associations; the melanoma PRS is positively associated with oral cavity/pharyngeal cancer and vice versa, whereas the lung cancer PRS is positively associated with oral cavity/pharyngeal cancer, and the oral cavity/pharyngeal cancer PRS is inversely associated with lung cancer. Overall, we validate known, and uncover previously unreported, patterns of pleiotropy that have the potential to inform investigations of risk prediction, shared etiology, and precision cancer prevention strategies.
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Affiliation(s)
- Rebecca E Graff
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Taylor B Cavazos
- Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA
| | - Khanh K Thai
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Sara R Rashkin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Joshua D Hoffman
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Maruta Blatchins
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Travis J Meyers
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Lancelote Leong
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Caroline G Tai
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Nima C Emami
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Elad Ziv
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Stephen K Van Den Eeden
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Thomas J Hoffmann
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Laurel A Habel
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. .,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA. .,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA. .,Department of Urology, University of California San Francisco, San Francisco, CA, USA.
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA. .,Department of Health System Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
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20
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Dalmau J. A probable case of anti-NMDAR encephalitis from 1830. NEUROLOGY - NEUROIMMUNOLOGY NEUROINFLAMMATION 2020; 7:7/6/e901. [PMID: 33087581 PMCID: PMC7641120 DOI: 10.1212/nxi.0000000000000901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Josep Dalmau
- From ICREA-IDIBAPS Hospital Clínic, University of Barcelona, Spain; and Department of Neurology, University of Pennsylvania, Philadelphia.
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21
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Kachuri L, Francis SS, Morrison ML, Wendt GA, Bossé Y, Cavazos TB, Rashkin SR, Ziv E, Witte JS. The landscape of host genetic factors involved in immune response to common viral infections. Genome Med 2020; 12:93. [PMID: 33109261 PMCID: PMC7590248 DOI: 10.1186/s13073-020-00790-x] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 10/07/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Humans and viruses have co-evolved for millennia resulting in a complex host genetic architecture. Understanding the genetic mechanisms of immune response to viral infection provides insight into disease etiology and therapeutic opportunities. METHODS We conducted a comprehensive study including genome-wide and transcriptome-wide association analyses to identify genetic loci associated with immunoglobulin G antibody response to 28 antigens for 16 viruses using serological data from 7924 European ancestry participants in the UK Biobank cohort. RESULTS Signals in human leukocyte antigen (HLA) class II region dominated the landscape of viral antibody response, with 40 independent loci and 14 independent classical alleles, 7 of which exhibited pleiotropic effects across viral families. We identified specific amino acid (AA) residues that are associated with seroreactivity, the strongest associations presented in a range of AA positions within DRβ1 at positions 11, 13, 71, and 74 for Epstein-Barr virus (EBV), Varicella zoster virus (VZV), human herpesvirus 7, (HHV7), and Merkel cell polyomavirus (MCV). Genome-wide association analyses discovered 7 novel genetic loci outside the HLA associated with viral antibody response (P < 5.0 × 10-8), including FUT2 (19q13.33) for human polyomavirus BK (BKV), STING1 (5q31.2) for MCV, and CXCR5 (11q23.3) and TBKBP1 (17q21.32) for HHV7. Transcriptome-wide association analyses identified 114 genes associated with response to viral infection, 12 outside of the HLA region, including ECSCR: P = 5.0 × 10-15 (MCV), NTN5: P = 1.1 × 10-9 (BKV), and P2RY13: P = 1.1 × 10-8 EBV nuclear antigen. We also demonstrated pleiotropy between viral response genes and complex diseases, from autoimmune disorders to cancer to neurodegenerative and psychiatric conditions. CONCLUSIONS Our study confirms the importance of the HLA region in host response to viral infection and elucidates novel genetic determinants beyond the HLA that contribute to host-virus interaction.
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Affiliation(s)
- Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Stephen S Francis
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA.
| | - Maike L Morrison
- Department of Biology, Stanford University, Stanford, CA, USA
- Summer Research Training Program, Graduate Division, University of California San Francisco, San Francisco, CA, USA
- Department of Mathematics, The University of Texas, Austin, TX, USA
| | - George A Wendt
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Yohan Bossé
- Department of Molecular Medicine, Université Laval, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec City, QC, Canada
| | - Taylor B Cavazos
- Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA
| | - Sara R Rashkin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Elad Ziv
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
- Department of Biology, Stanford University, Stanford, CA, USA.
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.
- Department of Urology, University of California San Francisco, San Francisco, CA, USA.
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22
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Kachuri L, Francis SS, Morrison M, Wendt GA, Bossé Y, Cavazos TB, Rashkin SR, Ziv E, Witte JS. The landscape of host genetic factors involved in immune response to common viral infections. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020:2020.05.01.20088054. [PMID: 32511533 PMCID: PMC7273301 DOI: 10.1101/2020.05.01.20088054] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
INTRODUCTION Humans and viruses have co-evolved for millennia resulting in a complex host genetic architecture. Understanding the genetic mechanisms of immune response to viral infection provides insight into disease etiology and therapeutic opportunities. METHODS We conducted a comprehensive study including genome-wide and transcriptome-wide association analyses to identify genetic loci associated with immunoglobulin G antibody response to 28 antigens for 16 viruses using serological data from 7924 European ancestry participants in the UK Biobank cohort. RESULTS Signals in human leukocyte antigen (HLA) class II region dominated the landscape of viral antibody response, with 40 independent loci and 14 independent classical alleles, 7 of which exhibited pleiotropic effects across viral families. We identified specific amino acid (AA) residues that are associated with seroreactivity, the strongest associations presented in a range of AA positions within DRβ1 at positions 11, 13, 71, and 74 for Epstein-Barr Virus (EBV), Varicella Zoster Virus (VZV), Human Herpes virus 7, (HHV7) and Merkel cell polyomavirus (MCV). Genome-wide association analyses discovered 7 novel genetic loci outside the HLA associated with viral antibody response (P<5.×10-8), including FUT2 (19q13.33) for human polyomavirus BK (BKV), STING1 (5q31.2) for MCV, as well as CXCR5 (11q23.3) and TBKBP1 (17q21.32) for HHV7. Transcriptome-wide association analyses identified 114 genes associated with response to viral infection, 12 outside of the HLA region, including ECSCR: P=5.0×10-15 (MCV), NTN5: P=1.1×10-9 (BKV), and P2RY13: P=1.1×10-8 EBV nuclear antigen. We also demonstrated pleiotropy between viral response genes and complex diseases; from autoimmune disorders to cancer to neurodegenerative and psychiatric conditions. CONCLUSIONS Our study confirms the importance of the HLA region in host response to viral infection and elucidates novel genetic determinants beyond the HLA that contribute to host-virus interaction.
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Affiliation(s)
- Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA
| | - Stephen S. Francis
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA
- Department of Neurological Surgery, University of California San Francisco, San Francisco, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, USA
- Weill Institute for Neurosciences, University of California San Francisco, San Francisco, USA
| | - Maike Morrison
- Summer Research Training Program, Graduate Division, University of California San Francisco, San Francisco, USA
- Department of Mathematics, The University of Texas at Austin, Austin, USA
| | - George A. Wendt
- Department of Neurological Surgery, University of California San Francisco, San Francisco, USA
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec, Department of Molecular Medicine, Université Laval, Quebec City, Canada
| | - Taylor B. Cavazos
- Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, USA
| | - Sara R. Rashkin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, USA
| | - Elad Ziv
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, USA
- Department of Medicine, University of California, San Francisco, San Francisco, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, USA
| | - John S. Witte
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, USA
- Department of Urology, University of California San Francisco, San Francisco, USA
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23
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Mescheriakova JY, van Nierop GP, van der Eijk AA, Kreft KL, Hintzen RQ. EBNA-1 titer gradient in families with multiple sclerosis indicates a genetic contribution. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 7:7/6/e872. [PMID: 32796079 PMCID: PMC7428359 DOI: 10.1212/nxi.0000000000000872] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 07/07/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVE In multiplex MS families, we determined the humoral immune response to Epstein-Barr virus nuclear antigen 1 (EBNA-1)-specific immunoglobulin γ (IgG) titers in patients with MS, their healthy siblings, and biologically unrelated healthy spouses and investigated the role of specific genetic loci on the antiviral IgG titers. METHODS IgG levels against EBNA-1 and varicella zoster virus (VZV) as control were measured. HLA-DRB1*1501 and HLA-A*02 tagging single-nucleotide polymorphisms (SNPs) were genotyped. We assessed the associations between these SNPs and antiviral IgG titers. RESULTS OR for abundant EBNA-1 IgG was the highest in patients with MS and intermediate in their siblings compared with spouses. We confirmed that HLA-DRB1*1501 is associated with abundant EBNA-1 IgG. After stratification for HLA-DRB1*1501, the EBNA-1 IgG gradient was still significant in patients with MS and young siblings compared with spouses. HLA-A*02 was not explanatory for EBNA-1 IgG titer gradient. No associations for VZV IgG were found. CONCLUSIONS In families with MS, the EBNA-1 IgG gradient being the highest in patients with MS, intermediate in their siblings, and lowest in biologically unrelated spouses indicates a genetic contribution to EBNA-1 IgG levels that is only partially explained by HLA-DRB1*1501 carriership.
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Affiliation(s)
- Julia Y Mescheriakova
- From the Department of Neurology (J.Y.M., K.L.K.); Department of Viroscience (G.P.N., A.A.E.), Erasmus MC, University Medical Center, Rotterdam, the Netherlands; and Department of Neurology, MS Centre ErasMS, Erasmus MC, Rotterdam, the Netherlands (J.Y.M., K.L.K.)
| | - Gijsbert P van Nierop
- From the Department of Neurology (J.Y.M., K.L.K.); Department of Viroscience (G.P.N., A.A.E.), Erasmus MC, University Medical Center, Rotterdam, the Netherlands; and Department of Neurology, MS Centre ErasMS, Erasmus MC, Rotterdam, the Netherlands (J.Y.M., K.L.K.)
| | - Annemiek A van der Eijk
- From the Department of Neurology (J.Y.M., K.L.K.); Department of Viroscience (G.P.N., A.A.E.), Erasmus MC, University Medical Center, Rotterdam, the Netherlands; and Department of Neurology, MS Centre ErasMS, Erasmus MC, Rotterdam, the Netherlands (J.Y.M., K.L.K.)
| | - Karim L Kreft
- From the Department of Neurology (J.Y.M., K.L.K.); Department of Viroscience (G.P.N., A.A.E.), Erasmus MC, University Medical Center, Rotterdam, the Netherlands; and Department of Neurology, MS Centre ErasMS, Erasmus MC, Rotterdam, the Netherlands (J.Y.M., K.L.K.).
| | - Rogier Q Hintzen
- From the Department of Neurology (J.Y.M., K.L.K.); Department of Viroscience (G.P.N., A.A.E.), Erasmus MC, University Medical Center, Rotterdam, the Netherlands; and Department of Neurology, MS Centre ErasMS, Erasmus MC, Rotterdam, the Netherlands (J.Y.M., K.L.K.).
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24
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Sallah N, Miley W, Labo N, Carstensen T, Fatumo S, Gurdasani D, Pollard MO, Dilthey AT, Mentzer AJ, Marshall V, Cornejo Castro EM, Pomilla C, Young EH, Asiki G, Hibberd ML, Sandhu M, Kellam P, Newton R, Whitby D, Barroso I. Distinct genetic architectures and environmental factors associate with host response to the γ2-herpesvirus infections. Nat Commun 2020; 11:3849. [PMID: 32737300 PMCID: PMC7395761 DOI: 10.1038/s41467-020-17696-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 07/13/2020] [Indexed: 01/05/2023] Open
Abstract
Kaposi's sarcoma-associated herpesvirus (KSHV) and Epstein-Barr Virus (EBV) establish life-long infections and are associated with malignancies. Striking geographic variation in incidence and the fact that virus alone is insufficient to cause disease, suggests other co-factors are involved. Here we present epidemiological analysis and genome-wide association study (GWAS) in 4365 individuals from an African population cohort, to assess the influence of host genetic and non-genetic factors on virus antibody responses. EBV/KSHV co-infection (OR = 5.71(1.58-7.12)), HIV positivity (OR = 2.22(1.32-3.73)) and living in a more rural area (OR = 1.38(1.01-1.89)) are strongly associated with immunogenicity. GWAS reveals associations with KSHV antibody response in the HLA-B/C region (p = 6.64 × 10-09). For EBV, associations are identified for VCA (rs71542439, p = 1.15 × 10-12). Human leucocyte antigen (HLA) and trans-ancestry fine-mapping substantiate that distinct variants in HLA-DQA1 (p = 5.24 × 10-44) are driving associations for EBNA-1 in Africa. This study highlights complex interactions between KSHV and EBV, in addition to distinct genetic architectures resulting in important differences in pathogenesis and transmission.
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Affiliation(s)
- Neneh Sallah
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK. .,London School of Hygiene & Tropical Medicine, London, UK. .,London School of Hygiene & Tropical Medicine, London, UK.
| | - Wendell Miley
- Viral Oncology Section, AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, USA
| | - Nazzarena Labo
- Viral Oncology Section, AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, USA
| | - Tommy Carstensen
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.,Department of Medicine, University of Cambridge, Cambridge, UK
| | - Segun Fatumo
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.,London School of Hygiene & Tropical Medicine, London, UK.,MRC/UVRI at the London School of Hygiene & Tropical Medicine, Entebbe, Uganda
| | - Deepti Gurdasani
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.,Queen Mary University London, London, UK
| | - Martin O Pollard
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.,Department of Medicine, University of Cambridge, Cambridge, UK
| | - Alexander T Dilthey
- Institute of Medical Microbiology and Hospital Hygiene, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany
| | - Alexander J Mentzer
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.,Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Vickie Marshall
- Viral Oncology Section, AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, USA
| | - Elena M Cornejo Castro
- Viral Oncology Section, AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, USA
| | - Cristina Pomilla
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.,Department of Medicine, University of Cambridge, Cambridge, UK
| | - Elizabeth H Young
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.,Department of Medicine, University of Cambridge, Cambridge, UK
| | - Gershim Asiki
- African Population and Health Research Center, Nairobi, Kenya
| | | | | | - Paul Kellam
- Department of Infectious Diseases, Imperial College London, London, UK.,Kymab Ltd, Babraham Research Complex, Cambridge, UK
| | - Robert Newton
- MRC/UVRI at the London School of Hygiene & Tropical Medicine, Entebbe, Uganda
| | - Denise Whitby
- Viral Oncology Section, AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, USA
| | - Inês Barroso
- The Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK. .,MRC Epidemiology Unit, University of Cambridge, Cambridge, UK. .,Exeter Centre of ExcEllence in Diabetes (ExCEED), University of Exeter Medical School, Exeter, UK.
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Tian W, Zhu F, Cai J, Li L, Jin H, Wang W. Multiple low-frequency and rare HLA-B allelic variants are associated with reduced risk in 1,105 nasopharyngeal carcinoma patients in Hunan province, southern China. Int J Cancer 2020; 147:1397-1404. [PMID: 32212153 DOI: 10.1002/ijc.32992] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 03/05/2020] [Accepted: 03/10/2020] [Indexed: 02/04/2023]
Abstract
In our study, 1,105 cases of nasopharyngeal carcinoma (NPC) and 1,430 normal controls recruited from Hunan province, southern China were typed for human leukocyte antigen (HLA)-B locus by Sanger sequencing exons 2-4. Besides confirming the NPC association with HLA-B*46:01 allele, HLA-A*02:07-B*46:01 and HLA-A*33:03-B*58:01 haplotypes (all positive), and HLA-B*13 lineage (negative), all of which were relatively common, strong negative associations were observed for five low-frequency and rare alleles or lineages, including HLA-B*07, -B*27:04, -B*39, -B*51:02 and -B*55:02, with odds ratio (OR) ranging from 0.16 to 0.3 (all pcorrected < 0.05). These strong protective associations were independent of linkage disequilibrium (LD) between HLA-A and HLA-B loci. Further analysis indicated a single amino acid change from histidine to tyrosine at residue 171 is probably crucial for the mutant allele, HLA-B*51:02, to mediate resistance to NPC. A subset of NPC cases (n = 821) and normal controls (n = 1,035) were tested for antivirus capsid antigen immunoglobulin A (anti-VCA IgA), which differed drastically between the two groups [67.7% vs. 5.5%, OR (95% confidence interval) = 36 (26.55-48.81), p < 0.0001]. HLA-B allelic variation did not associate with seropositivity for anti-VCA IgA in either group. Results from our study show, more clearly than previously, the existence of a cluster of low-frequency and rare HLA-B variants conferring low, or very low risk to NPC, a phenomenon not observed in other ethnic groups. Our data shed new insights into genetic susceptibility to NPC in southern Chinese populations. Future independent studies are warranted to replicate the findings reported in our study.
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Affiliation(s)
- Wei Tian
- Immunogenetics Research Group, Department of Immunology, College of Basic Medical Sciences, Central South University, Changsha, Hunan, China.,Laboratory of Cellular and Molecular Biology, College of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - FaMing Zhu
- HLA typing laboratory, Blood Center of Zhejiang Province, Hangzhou, Zhejiang, China.,Key Laboratory of Blood Safety Research, Zhejiang Province, Hangzhou, Zhejiang, China
| | - JinHong Cai
- Immunogenetics Research Group, Department of Immunology, College of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - LiXin Li
- Laboratory of Cellular and Molecular Biology, College of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - HeKun Jin
- Department of Radiotherapy, Hunan Cancer Hospital (the affiliated Cancer Hospital of XiangYa School of Medicine of Central South University), Changsha, Hunan, China
| | - WenYi Wang
- Immunogenetics Research Group, Department of Immunology, College of Basic Medical Sciences, Central South University, Changsha, Hunan, China
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26
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Lin GW, Xu C, Chen K, Huang HQ, Chen J, Song B, Chan JKC, Li W, Liu W, Shih LY, Chuang WY, Kim WS, Tan W, Peng RJ, Laurensia Y, Cheah DMZ, Huang D, Cheng CL, Su YJ, Tan SY, Ng SB, Tang TPL, Han K, Wang VYF, Jia WH, Pei Z, Li YJ, Gao S, Shi Y, Hu Z, Zhang F, Zhang B, Zeng YX, Shen H, He L, Ong CK, Lim ST, Chanock S, Kwong YL, Lin D, Rothman N, Khor CC, Lan Q, Bei JX. Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study in multiple populations. Lancet Oncol 2020; 21:306-316. [PMID: 31879220 DOI: 10.1016/s1470-2045(19)30799-5] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 11/03/2019] [Accepted: 11/08/2019] [Indexed: 02/05/2023]
Abstract
BACKGROUND Extranodal natural killer T-cell lymphoma (NKTCL; nasal type) is an aggressive malignancy with a particularly high prevalence in Asian and Latin American populations. Epstein-Barr virus infection has a role in the pathogenesis of NKTCL, and HLA-DPB1 variants are risk factors for the disease. We aimed to identify additional novel genetic variants affecting risk of NKTCL. METHODS We did a genome-wide association study of NKTCL in multiple populations from east Asia. We recruited a discovery cohort of 700 cases with NKTCL and 7752 controls without NKTCL of Han Chinese ancestry from 19 centres in southern, central, and northern regions of China, and four independent replication samples including 717 cases and 12 650 controls. Three of these independent samples (451 cases and 5301 controls) were from eight centres in the same regions of southern, central, and northern China, and the fourth (266 cases and 7349 controls) was from 11 centres in Hong Kong, Taiwan, Singapore, and South Korea. All cases had primary NKTCL that was confirmed histopathologically, and matching with controls was based on geographical region and self-reported ancestry. Logistic regression analysis was done independently by geographical regions, followed by fixed-effect meta-analyses, to identify susceptibility loci. Bioinformatic approaches, including expression quantitative trait loci, binding motif and transcriptome analyses, and biological experiments were done to fine-map and explore the functional relevance of genome-wide association loci to the development of NKTCL. FINDINGS Genetic data were gathered between Jan 1, 2008, and Jan 23, 2019. Meta-analysis of all samples (a total of 1417 cases and 20 402 controls) identified two novel loci significantly associated with NKTCL: IL18RAP on 2q12.1 (rs13015714; p=2·83 × 10-16; odds ratio 1·39 [95% CI 1·28-1·50]) and HLA-DRB1 on 6p21.3 (rs9271588; 9·35 × 10-26 1·53 [1·41-1·65]). Fine-mapping and experimental analyses showed that rs1420106 at the promoter of IL18RAP was highly correlated with rs13015714, and the rs1420106-A risk variant had an upregulatory effect on IL18RAP expression. Cell growth assays in two NKTCL cell lines (YT and SNK-6 cells) showed that knockdown of IL18RAP inhibited cell proliferation by cell cycle arrest in NKTCL cells. Haplotype association analysis showed that haplotype 47F-67I was associated with reduced risk of NKTCL, whereas 47Y-67L was associated with increased risk of NKTCL. These two positions are component parts of the peptide-binding pocket 7 (P7) of the HLA-DR heterodimer, suggesting that these alterations might account for the association at HLA-DRB1, independent of the previously reported HLA-DPB1 variants. INTERPRETATION Our findings provide new insights into the development of NKTCL by showing the importance of inflammation and immune regulation through the IL18-IL18RAP axis and antigen presentation involving HLA-DRB1, which might help to identify potential therapeutic targets. Taken in combination with additional genetic and other risk factors, our results could potentially be used to stratify people at high risk of NKTCL for targeted prevention. FUNDING Guangdong Innovative and Entrepreneurial Research Team Program, National Natural Science Foundation of China, National Program for Support of Top-Notch Young Professionals, Chang Jiang Scholars Program, Singapore Ministry of Health's National Medical Research Council, Tanoto Foundation, National Research Foundation Singapore, Chang Gung Memorial Hospital, Recruitment Program for Young Professionals of China, First Affiliated Hospital and Army Medical University, US National Institutes of Health, and US National Cancer Institute.
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Affiliation(s)
- Guo-Wang Lin
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Caigang Xu
- Hematology Research Laboratory, Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Hui-Qiang Huang
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Jieping Chen
- Department of Hematology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Bao Song
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - John K C Chan
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region, China
| | - Wenyu Li
- Department of Lymphoma, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Weiping Liu
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Lee-Yung Shih
- Division of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou, Taoyuan; Chang Gung University, Taoyuan
| | - Wen-Yu Chuang
- Department of Pathology, Chang Gung Memorial Hospital and Chang Gung University, Taoyuan
| | - Won Seog Kim
- Division of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Wen Tan
- Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rou-Jun Peng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yurike Laurensia
- Lymphoma Genomic Translational Research Laboratory, Division of Cellular and Molecular Research, National Cancer Centre Singapore, Singapore
| | - Daryl Ming Zhe Cheah
- Lymphoma Genomic Translational Research Laboratory, Division of Cellular and Molecular Research, National Cancer Centre Singapore, Singapore
| | - DaChuan Huang
- Lymphoma Genomic Translational Research Laboratory, Division of Cellular and Molecular Research, National Cancer Centre Singapore, Singapore
| | | | - Yi-Jiun Su
- Division of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou, Taoyuan
| | - Soo-Yong Tan
- Department of Pathology, Guangdong Academy of Medical Sciences, Guangzhou, China; Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Pathology, National University Hospital, National University Health System, Singapore; Institute of Molecular and Cell Biology, A*STAR, Singapore; Department of Pathology, University of Malaya, Kuala Lumpur, Malaysia
| | - Siok-Bian Ng
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Cancer Science Institute of Singapore, National University of Singapore, Singapore; Department of Pathology, National University Hospital, National University Health System, Singapore
| | | | - Kyudong Han
- Department of Nanobiomedical Science, BK21 PLUS NBM Global Research Center for Regenerative Medicine, Dankook University, Cheonan, South Korea
| | - Vivien Ya-Fan Wang
- Faculty of Health Sciences, University of Macau, Macau Special Administrative Region, China
| | - Wei-Hua Jia
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Zhong Pei
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ya-Jun Li
- Department of Lymphoma and Hematology, Hunan Cancer Hospital, Changsha, China; The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Song Gao
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yongyong Shi
- The Affiliated Hospital of Qingdao University & the Biomedical Sciences Institute of Qingdao University, Qingdao Branch of SJTU Bio-X Institutes, Qingdao University, Qingdao, China; Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Furen Zhang
- Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Ben Zhang
- Department of Epidemiology and Biostatistics, First Affiliated Hospital, Army Medical University, Chongqing, China
| | - Yi-Xin Zeng
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Lin He
- The Affiliated Hospital of Qingdao University & the Biomedical Sciences Institute of Qingdao University, Qingdao Branch of SJTU Bio-X Institutes, Qingdao University, Qingdao, China; Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), the Collaborative Innovation Center for Brain Science, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Choon Kiat Ong
- Lymphoma Genomic Translational Research Laboratory, Division of Cellular and Molecular Research, National Cancer Centre Singapore, Singapore; Genome Institute of Singapore, Singapore; Duke-NUS Medical School, Singapore
| | - Soon Thye Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore; Duke-NUS Medical School, Singapore; SingHealth Duke-NUS Blood Cancer Centre, Singapore
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yok-Lam Kwong
- Department of Medicine, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Dongxin Lin
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Chiea Chuen Khor
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Genome Institute of Singapore, Singapore; Singapore Eye Research Institute, Singapore
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jin-Xin Bei
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China; Division of Medical Oncology, National Cancer Centre Singapore, Singapore; Center for Precision Medicine, Sun Yat-sen University, Guangzhou, China.
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Hedström AK, Huang J, Michel A, Butt J, Brenner N, Hillert J, Waterboer T, Kockum I, Olsson T, Alfredsson L. High Levels of Epstein-Barr Virus Nuclear Antigen-1-Specific Antibodies and Infectious Mononucleosis Act Both Independently and Synergistically to Increase Multiple Sclerosis Risk. Front Neurol 2020; 10:1368. [PMID: 32038456 PMCID: PMC6992610 DOI: 10.3389/fneur.2019.01368] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 12/11/2019] [Indexed: 01/13/2023] Open
Abstract
Objective: Elevated levels of anti-EBNA-1 antibodies and infectious mononucleosis (IM) history have consistently been associated with multiple sclerosis (MS) risk. We aimed to study whether these aspects of Epstein–Barr virus (EBV) infection represent separate risk factors for MS and whether they both interact with MS-associated HLA genes in disease development. Methods: Two Swedish-population-based case–control studies were used, comprising 5,316 cases and 5,431 matched controls. Subjects with different HLA alleles, EBNA-1, and IM status were compared regarding MS risk by calculating odds ratios (OR) with 95% confidence intervals (CI) employing logistic regression. Causal mediation analysis was used to assess to what extent the relationship between IM history and MS risk was mediated by high anti-EBNA-1 antibody levels and vice versa. Results: The causal mediation analysis revealed that both aspects of EBV infection mainly act directly on MS risk. The direct effect of elevated anti-EBNA-1 antibody levels on MS risk, expressed on the OR scale, was 2.8 (95% CI 2.5–3.1), and the direct effect of IM history on MS risk was 1.7 (95% CI 1.5–2.0). A significant interaction between the two aspects of EBV infection was observed (RERI 1.2, 95% CI 0.3–2.0), accounting for about 50% of the total effect. Further, both aspects of EBV infection interacted with DRB1*15:01 and absence of A*02:01. Interpretation: Elevated anti-EBNA-1 antibody levels and IM history are different risk factors for MS. The two aspects of EBV infection act synergistically to increase MS risk, indicating that they partly are involved in the same biological pathways.
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Affiliation(s)
- Anna Karin Hedström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jesse Huang
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden
| | - Angelica Michel
- Infections and Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Julia Butt
- Infections and Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Nicole Brenner
- Infections and Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden
| | - Tim Waterboer
- Infections and Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Ingrid Kockum
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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28
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Epstein-Barr Virus-Associated Post-Transplantation Lymphoproliferative Disease in Patients Who Received Anti-CD20 after Hematopoietic Stem Cell Transplantation. Biol Blood Marrow Transplant 2019; 25:2490-2500. [DOI: 10.1016/j.bbmt.2019.08.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 08/08/2019] [Accepted: 08/08/2019] [Indexed: 12/19/2022]
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29
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Marcucci SB, Obeidat AZ. EBNA1, EBNA2, and EBNA3 link Epstein-Barr virus and hypovitaminosis D in multiple sclerosis pathogenesis. J Neuroimmunol 2019; 339:577116. [PMID: 31805475 DOI: 10.1016/j.jneuroim.2019.577116] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 11/14/2019] [Accepted: 11/19/2019] [Indexed: 01/12/2023]
Abstract
A strong north-to-south gradient is observed in the distribution of multiple sclerosis (MS), hinting toward an environmental etiology. Vitamin D has been associated with a decreased incidence of MS and may explain, in part, the lower prevalence in tropical climates. However, the existence of MS epidemics implies the possibility of an infectious etiology. Epstein-Barr virus (EBV) infection precedes MS presentation in nearly all affected individuals. While the individual contribution of EBV, vitamin D deficiency, and specific risk genes to MS etiology is possible, their potential interaction is of great interest and may have a synergistic effect on the development of MS.
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Affiliation(s)
- Samuel B Marcucci
- University of Cincinnati College of Medicine, 3230 Eden Ave, Cincinnati, OH 45267, United States of America.
| | - Ahmed Z Obeidat
- Department of Neurology, Medical College of Wisconsin, 9200 West Wisconsin Avenue, Milwaukee, WI 53226, United States of America.
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30
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Molecular mimicry, genetic homology, and gene sharing proteomic "molecular fingerprints" using an EBV (Epstein-Barr virus)-derived microarray as a potential diagnostic method in autoimmune disease. Immunol Res 2019; 66:686-695. [PMID: 30552620 DOI: 10.1007/s12026-018-9045-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
EBV (Epstein-Barr Virus) and other human DNA viruses are associated with autoimmune syndromes in epidemiologic studies. In this work, immunoglobulin G response to EBV-encoded proteins which share regions with human immune response proteins from the human host including ZEBRA (BZLF-1 encoded protein), BALF-2 recombinase expressed primarily during the viral lytic replication cycle, and EBNA-1 (Epstein-Barr Virus Nuclear Antigen) expressed during the viral latency cycle respectively were characterized using a laser-printed micro-array ( PEPperprint.com ). IgG response to conserved "A/T hooks" in EBV-encoded proteins such as EBNA-1 and the BALF-2 recombinase related to host DNA-binding proteins including RAG-1 recombinase and histones, and EBV-encoded virokines such as the IL-10 homologue BCRF-1 suggest further directions for clinical research. The author suggests that proteomic "molecular fingerprints" of the immune response to viral proteins shared with human immune response genes are potentially useful in early diagnosis and monitoring of autoantibody production and response to therapy in EBV-related autoimmune syndromes.
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31
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Deeba E, Koptides D, Lambrianides A, Pantzaris M, Krashias G, Christodoulou C. Complete sequence analysis of human toll-like receptor 3 gene in natural killer cells of multiple sclerosis patients. Mult Scler Relat Disord 2019; 33:100-106. [PMID: 31177052 DOI: 10.1016/j.msard.2019.05.027] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 05/20/2019] [Accepted: 05/29/2019] [Indexed: 12/22/2022]
Abstract
BACKGROUND Multiple sclerosis (MS) is a chronic demyelinating disease of the central nervous system (CNS) where both environmental and genetic risk factors play a role. Among the environmental risk factors, EBV and HSV infections have been suggested as strong candidates contributing to MS pathology/progression. Viral recognition and control is largely tasked to the NK cells via TLR recognition and various cytotoxic and immunoregulatory functions. The present work aimed to characterize NK cells isolated from MS patients for genetic polymorphisms in the gene encoding for TLR3, as TLR3 in NK cells is important in herpesvirus recognition. METHODS Highly purified NK cells isolated from peripheral blood of MS patients (n = 27) and healthy controls (n = 30) were used to sequence all five exons of the TLR3 gene using sanger sequencing. Alignment of the obtained sequences with the wild-type TLR3 sequence was used to identify genetic polymorphisms within the TLR3 gene. RESULTS The alignment identified multiple substitution mutations across the five exons of the TLR3 gene (rs116729895, rs3775296, rs377529, rs3775290, rs3775291, rs376735334 and rs73873710). A significant difference was observed in the allele distribution of rs3775291 (Leu412Phe) between MS patients and HC, whereby the minor allele was detected in 38.9% of MS patients versus 11% of HC (Fisher's exact test, p = 0.021). CONCLUSION There appears to be a possible association between the TLR3 missense mutation rs3775291 and multiple sclerosis, which might be attributed to changes in the TLR3 functional properties.
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Affiliation(s)
- Elie Deeba
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Dana Koptides
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus; Department of Molecular Virology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Anastasia Lambrianides
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus; Neurology Clinic C, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Marios Pantzaris
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus; Neurology Clinic C, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - George Krashias
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus; Department of Molecular Virology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.
| | - Christina Christodoulou
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus; Department of Molecular Virology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
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32
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Guan Y, Jakimovski D, Ramanathan M, Weinstock-Guttman B, Zivadinov R. The role of Epstein-Barr virus in multiple sclerosis: from molecular pathophysiology to in vivo imaging. Neural Regen Res 2019; 14:373-386. [PMID: 30539801 PMCID: PMC6334604 DOI: 10.4103/1673-5374.245462] [Citation(s) in RCA: 99] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Accepted: 08/31/2018] [Indexed: 12/29/2022] Open
Abstract
Multiple sclerosis (MS) is a disease of the central nervous system characterized by inflammation, demyelination, and neuronal damage. Environmental and genetic factors are associated with the risk of developing MS, but the exact cause still remains unidentified. Epstein-Barr virus (EBV), vitamin D, and smoking are among the most well-established environmental risk factors in MS. Infectious mononucleosis, which is caused by delayed primary EBV infection, increases the risk of developing MS. EBV may also contribute to MS pathogenesis indirectly by activating silent human endogenous retrovirus-W. The emerging B-cell depleting therapies, particularly anti-CD20 agents such as rituximab, ocrelizumab, as well as the fully human ofatumumab, have shown promising clinical and magnetic resonance imaging benefit. One potential effect of these therapies is the depletion of memory B-cells, the primary reservoir site where EBV latency occurs. In addition, EBV potentially interacts with both genetic and other environmental factors to increase susceptibility and disease severity of MS. This review examines the role of EBV in MS pathophysiology and summarizes the recent clinical and radiological findings, with a focus on B-cells and in vivo imaging. Addressing the potential link between EBV and MS allows the better understanding of MS pathogenesis and helps to identify additional disease biomarkers that may be responsive to B-cell depleting intervention.
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Affiliation(s)
- Yi Guan
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Murali Ramanathan
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
- Department of Pharmaceutical Sciences, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
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Leist SR, Baric RS. Giving the Genes a Shuffle: Using Natural Variation to Understand Host Genetic Contributions to Viral Infections. Trends Genet 2018; 34:777-789. [PMID: 30131185 PMCID: PMC7114642 DOI: 10.1016/j.tig.2018.07.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 07/15/2018] [Accepted: 07/19/2018] [Indexed: 01/01/2023]
Abstract
The laboratory mouse has proved an invaluable model to identify host factors that regulate the progression and outcome of virus-induced disease. The paradigm is to use single-gene knockouts in inbred mouse strains or genetic mapping studies using biparental mouse populations. However, genetic variation among these mouse strains is limited compared with the diversity seen in human populations. To address this disconnect, a multiparental mouse population has been developed to specifically dissect the multigenetic regulation of complex disease traits. The Collaborative Cross (CC) population of recombinant inbred mouse strains is a well-suited systems-genetics tool to identify susceptibility alleles that control viral and microbial infection outcomes and immune responses and to test the promise of personalized medicine.
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Affiliation(s)
- Sarah R Leist
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Ralph S Baric
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; https://sph.unc.edu/adv_profile/ralph-s-baric-phd/
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Scepanovic P, Alanio C, Hammer C, Hodel F, Bergstedt J, Patin E, Thorball CW, Chaturvedi N, Charbit B, Abel L, Quintana-Murci L, Duffy D, Albert ML, Fellay J. Human genetic variants and age are the strongest predictors of humoral immune responses to common pathogens and vaccines. Genome Med 2018; 10:59. [PMID: 30053915 PMCID: PMC6063007 DOI: 10.1186/s13073-018-0568-8] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 07/10/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Humoral immune responses to infectious agents or vaccination vary substantially among individuals, and many of the factors responsible for this variability remain to be defined. Current evidence suggests that human genetic variation influences (i) serum immunoglobulin levels, (ii) seroconversion rates, and (iii) intensity of antigen-specific immune responses. Here, we evaluated the impact of intrinsic (age and sex), environmental, and genetic factors on the variability of humoral response to common pathogens and vaccines. METHODS We characterized the serological response to 15 antigens from common human pathogens or vaccines, in an age- and sex-stratified cohort of 1000 healthy individuals (Milieu Intérieur cohort). Using clinical-grade serological assays, we measured total IgA, IgE, IgG, and IgM levels, as well as qualitative (serostatus) and quantitative IgG responses to cytomegalovirus, Epstein-Barr virus, herpes simplex virus 1 and 2, varicella zoster virus, Helicobacter pylori, Toxoplasma gondii, influenza A virus, measles, mumps, rubella, and hepatitis B virus. Following genome-wide genotyping of single nucleotide polymorphisms and imputation, we examined associations between ~ 5 million genetic variants and antibody responses using single marker and gene burden tests. RESULTS We identified age and sex as important determinants of humoral immunity, with older individuals and women having higher rates of seropositivity for most antigens. Genome-wide association studies revealed significant associations between variants in the human leukocyte antigen (HLA) class II region on chromosome 6 and anti-EBV and anti-rubella IgG levels. We used HLA imputation to fine map these associations to amino acid variants in the peptide-binding groove of HLA-DRβ1 and HLA-DPβ1, respectively. We also observed significant associations for total IgA levels with two loci on chromosome 2 and with specific KIR-HLA combinations. CONCLUSIONS Using extensive serological testing and genome-wide association analyses in a well-characterized cohort of healthy individuals, we demonstrated that age, sex, and specific human genetic variants contribute to inter-individual variability in humoral immunity. By highlighting genes and pathways implicated in the normal antibody response to frequently encountered antigens, these findings provide a basis to better understand disease pathogenesis. TRIALS REGISTRATION ClinicalTrials.gov , NCT01699893.
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Affiliation(s)
- Petar Scepanovic
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Cécile Alanio
- Immunobiology of Dendritic Cell Unit, Institut Pasteur, Paris, France.,Center for Translational Research, Institut Pasteur, Paris, France.,Inserm U1223, Institut Pasteur, Paris, France
| | - Christian Hammer
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland.,Department of Cancer Immunology, Genentech, South San Francisco, CA, USA
| | - Flavia Hodel
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Jacob Bergstedt
- Department of Automatic Control, Lund University, Lund, Sweden
| | - Etienne Patin
- Unit of Human Evolutionary Genetics, Department of Genomes and Genetics, Institut Pasteur, Paris, France.,Centre National de la Recherche Scientifique, URA 3012, Paris, France.,Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, 75015, Paris, France
| | - Christian W Thorball
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Nimisha Chaturvedi
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Bruno Charbit
- Center for Translational Research, Institut Pasteur, Paris, France
| | - Laurent Abel
- Laboratory of Human Genetics of Infectious Diseases, Necker branch, Inserm U1163, Paris, France.,Imagine Institute, Paris Descartes University, Paris, France.,St Giles laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY, USA
| | - Lluis Quintana-Murci
- Unit of Human Evolutionary Genetics, Department of Genomes and Genetics, Institut Pasteur, Paris, France.,Centre National de la Recherche Scientifique, URA 3012, Paris, France.,Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, 75015, Paris, France
| | - Darragh Duffy
- Immunobiology of Dendritic Cell Unit, Institut Pasteur, Paris, France.,Center for Translational Research, Institut Pasteur, Paris, France.,Inserm U1223, Institut Pasteur, Paris, France
| | - Matthew L Albert
- Department of Cancer Immunology, Genentech, South San Francisco, CA, USA.
| | - Jacques Fellay
- School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. .,Swiss Institute of Bioinformatics, Lausanne, Switzerland. .,Precision Medicine Unit, Lausanne University Hospital, Lausanne, Switzerland.
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Debiec H, Dossier C, Letouzé E, Gillies CE, Vivarelli M, Putler RK, Ars E, Jacqz-Aigrain E, Elie V, Colucci M, Debette S, Amouyel P, Elalaoui SC, Sefiani A, Dubois V, Simon T, Kretzler M, Ballarin J, Emma F, Sampson MG, Deschênes G, Ronco P. Transethnic, Genome-Wide Analysis Reveals Immune-Related Risk Alleles and Phenotypic Correlates in Pediatric Steroid-Sensitive Nephrotic Syndrome. J Am Soc Nephrol 2018; 29:2000-2013. [PMID: 29903748 PMCID: PMC6050942 DOI: 10.1681/asn.2017111185] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 04/09/2018] [Indexed: 12/20/2022] Open
Abstract
Background Steroid-sensitive nephrotic syndrome (SSNS) is a childhood disease with unclear pathophysiology and genetic architecture. We investigated the genomic basis of SSNS in children recruited in Europe and the biopsy-based North American NEPTUNE cohort.Methods We performed three ancestry-matched, genome-wide association studies (GWAS) in 273 children with NS (Children Cohort Nephrosis and Virus [NEPHROVIR] cohort: 132 European, 56 African, and 85 Maghrebian) followed by independent replication in 112 European children, transethnic meta-analysis, and conditional analysis. GWAS alleles were used to perform glomerular cis-expression quantitative trait loci studies in 39 children in the NEPTUNE cohort and epidemiologic studies in GWAS and NEPTUNE (97 children) cohorts.Results Transethnic meta-analysis identified one SSNS-associated single-nucleotide polymorphism (SNP) rs1063348 in the 3' untranslated region of HLA-DQB1 (P=9.3×10-23). Conditional analysis identified two additional independent risk alleles upstream of HLA-DRB1 (rs28366266, P=3.7×10-11) and in the 3' untranslated region of BTNL2 (rs9348883, P=9.4×10-7) within introns of HCG23 and LOC101929163 These three risk alleles were independent of the risk haplotype DRB1*07:01-DQA1*02:01-DQB1*02:02 identified in European patients. Increased burden of risk alleles across independent loci was associated with higher odds of SSNS. Increased burden of risk alleles across independent loci was associated with higher odds of SSNS, with younger age of onset across all cohorts, and with increased odds of complete remission across histologies in NEPTUNE children. rs1063348 associated with decreased glomerular expression of HLA-DRB1, HLA-DRB5, and HLA-DQB1.Conclusions Transethnic GWAS empowered discovery of three independent risk SNPs for pediatric SSNS. Characterization of these SNPs provide an entry for understanding immune dysregulation in NS and introducing a genomically defined classification.
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Affiliation(s)
- Hanna Debiec
- Sorbonne Université, UPMC Paris 06, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche S 1155, Paris, France
| | | | - Eric Letouzé
- Pediatric Pharmacology and Pharmacogenetics, CIC1426, Hôpital Robert Debré, Paris, France
- Université Paris Diderot, Institut Universitaire d'Hématologie, Paris, France
| | - Christopher E Gillies
- Pediatric Nephrology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Marina Vivarelli
- Nephrology and Dialysis Department, Istituto di Ricovero e Cura a Carattere Scientifico Ospedale Pediatrico Bambino Gesù, Rome, Italy
| | - Rosemary K Putler
- Pediatric Nephrology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Elisabet Ars
- Molecular Biology Laboratory, Fundació Puigvert, Instituto de Investigaciones Biomédicas Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Evelyne Jacqz-Aigrain
- Pediatric Pharmacology and Pharmacogenetics, CIC1426, Hôpital Robert Debré, Paris, France
| | - Valery Elie
- Pediatric Pharmacology and Pharmacogenetics, CIC1426, Hôpital Robert Debré, Paris, France
| | - Manuela Colucci
- Nephrology and Dialysis Department, Istituto di Ricovero e Cura a Carattere Scientifico Ospedale Pediatrico Bambino Gesù, Rome, Italy
| | - Stéphanie Debette
- University of Bordeaux, Institut National de la Santé et de la Recherche Médicale, Bordeaux Population Health Research Center, Unité Mixte de Recherche 1219, CHU Bordeaux, Bordeaux, France
| | - Philippe Amouyel
- University of Lille, Institut National de la Santé et de la Recherche Médicale, CHU Lille, Institut Pasteur de Lille, U1167 RID-AGE, Lille, France
| | - Siham C Elalaoui
- Department of Medical Genetics, Institut National d'Hygiène, Rabat, Morocco
| | - Abdelaziz Sefiani
- Human Genomic Center, Faculté de Médecine et de Pharmacie Rabat, Université Mohamed V. Rabat, Rabat, Morocco
| | - Valérie Dubois
- Etablissement Français du Sang Rhone-Alpes, Lyon, Rhone-Alpes, France
| | - Tabassome Simon
- Assistance Publique-Hôpitaux de Paris, Hôpital Saint Antoine, Department of Clinical Pharmacology, Unité de Recherche Clinique, Paris, France
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche S1148, Paris, France
| | - Matthias Kretzler
- Department of Internal Medicine and Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan;
| | - Jose Ballarin
- Department of Nephrology, Fundación Puigvert, Barcelona, Spain
| | - Francesco Emma
- Pediatric Nephrology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Matthew G Sampson
- Pediatric Nephrology, University of Michigan School of Medicine, Ann Arbor, Michigan;
| | - Georges Deschênes
- Department of Paediatric Nephrology and
- Institut National de la Santé et de la Recherche Médicale U1149, Unité de Formation et de Recherche de Médecine Xavier Bichat, Université Sorbonne Paris Cité, Paris, France; and
| | - Pierre Ronco
- Sorbonne Université, UPMC Paris 06, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche S 1155, Paris, France;
- Assistance Publique-Hôpitaux de Paris, Nephrology and Dialysis Department, Tenon Hospital, Paris, France
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The Microenvironment in Epstein-Barr Virus-Associated Malignancies. Pathogens 2018; 7:pathogens7020040. [PMID: 29652813 PMCID: PMC6027429 DOI: 10.3390/pathogens7020040] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 04/08/2018] [Accepted: 04/11/2018] [Indexed: 12/27/2022] Open
Abstract
The Epstein–Barr virus (EBV) can cause a wide variety of cancers upon infection of different cell types and induces a highly variable composition of the tumor microenvironment (TME). This TME consists of both innate and adaptive immune cells and is not merely an aspecific reaction to the tumor cells. In fact, latent EBV-infected tumor cells utilize several specific mechanisms to form and shape the TME to their own benefit. These mechanisms have been studied largely in the context of EBV+ Hodgkin lymphoma, undifferentiated nasopharyngeal carcinoma, and EBV+ gastric cancer. This review describes the composition, immune escape mechanisms, and tumor cell promoting properties of the TME in these three malignancies. Mechanisms of susceptibility which regularly involve genes related to immune system function are also discussed, as only a small proportion of EBV-infected individuals develops an EBV-associated malignancy.
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Whole-genome association study of antibody response to Epstein-Barr virus in an African population: a pilot. Glob Health Epidemiol Genom 2017; 2:e18. [PMID: 29868224 PMCID: PMC5870407 DOI: 10.1017/gheg.2017.16] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 10/19/2017] [Accepted: 10/24/2017] [Indexed: 02/02/2023] Open
Abstract
Epstein Barr virus (EBV) infects 95% of the global population and is associated with up to 2% of cancers globally. Immunoglobulin G (IgG) antibody levels to EBV have been shown to be heritable and associated with developing malignancies. We, therefore, performed a pilot genome-wide association analysis of anti-EBV IgG traits in an African population, using a combined approach including array genotyping, whole-genome sequencing and imputation to a panel with African sequence data. In 1562 Ugandans, we identify a variant in human leukocyte antigen (HLA)-DQA1, rs9272371 (p = 2.6 × 10-17) associated with anti-EBV nuclear antigen-1 responses. Trans-ancestry meta-analysis and fine-mapping with European-ancestry individuals suggest the presence of distinct HLA class II variants driving associations in Uganda. In addition, we identify four putative, novel, very rare African-specific loci with preliminary evidence for association with anti-viral capsid antigen IgG responses which will require replication for validation. These findings reinforce the need for the expansion of such studies in African populations with relevant datasets to capture genetic diversity.
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Kreft KL, Van Nierop GP, Scherbeijn SMJ, Janssen M, Verjans GMGM, Hintzen RQ. Elevated EBNA-1 IgG in MS is associated with genetic MS risk variants. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2017; 4:e406. [PMID: 29379819 PMCID: PMC5778394 DOI: 10.1212/nxi.0000000000000406] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Accepted: 07/31/2017] [Indexed: 12/26/2022]
Abstract
Objective: To assess whether MS genetic risk polymorphisms (single nucleotide polymorphism [SNP]) contribute to the enhanced humoral immune response against Epstein-Barr virus (EBV) infection in patients with MS. Methods: Serum anti-EBV nuclear antigen 1 (EBNA-1) and early antigen D (EA-D) immunoglobulin γ (IgG) levels were quantitatively determined in 668 genotyped patients with MS and 147 healthy controls. Anti–varicella-zoster virus (VZV) IgG levels were used as a highly prevalent, non-MS–associated control herpesvirus. Associations between virus-specific IgG levels and MS risk SNPs were analyzed. Results: IgG levels of EBNA-1, but not EA-D and VZV, were increased in patients with MS compared with healthy controls. Increased EBNA-1 IgG levels were significantly associated with risk alleles of SNP rs2744148 (SOX8), rs11154801 (MYB), rs1843938 (CARD11), and rs7200786 (CLEC16A/CIITA) in an interaction model and a trend toward significance for rs3135388 (HLA-DRB1*1501). In addition, risk alleles of rs694739 (PRDX5/BAD) and rs11581062 (VCAM1) were independently associated and interacted with normal EBNA-1 IgG levels. None of these interactions were associated with EA-D and VZV IgG titers. Conclusions: Several MS-associated SNPs significantly correlated with differential IgG levels directed to a latent, but not a lytic EBV protein. The data suggest that the aforementioned immune-related genes orchestrate the aberrant EBNA-1 IgG levels.
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Affiliation(s)
- Karim L Kreft
- Department of Neurology (K.L.K., G.P.V.N., M.J., R.Q.H.), MS Center ErasMS (K.L.K., M.J., R.Q.H.), Department of Viroscience (G.P.V.N., S.M.J.S., G.M.G.M.V.), and Department of Immunology (M.J., R.Q.H.), Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Gijsbert P Van Nierop
- Department of Neurology (K.L.K., G.P.V.N., M.J., R.Q.H.), MS Center ErasMS (K.L.K., M.J., R.Q.H.), Department of Viroscience (G.P.V.N., S.M.J.S., G.M.G.M.V.), and Department of Immunology (M.J., R.Q.H.), Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Sandra M J Scherbeijn
- Department of Neurology (K.L.K., G.P.V.N., M.J., R.Q.H.), MS Center ErasMS (K.L.K., M.J., R.Q.H.), Department of Viroscience (G.P.V.N., S.M.J.S., G.M.G.M.V.), and Department of Immunology (M.J., R.Q.H.), Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Malou Janssen
- Department of Neurology (K.L.K., G.P.V.N., M.J., R.Q.H.), MS Center ErasMS (K.L.K., M.J., R.Q.H.), Department of Viroscience (G.P.V.N., S.M.J.S., G.M.G.M.V.), and Department of Immunology (M.J., R.Q.H.), Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Georges M G M Verjans
- Department of Neurology (K.L.K., G.P.V.N., M.J., R.Q.H.), MS Center ErasMS (K.L.K., M.J., R.Q.H.), Department of Viroscience (G.P.V.N., S.M.J.S., G.M.G.M.V.), and Department of Immunology (M.J., R.Q.H.), Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Rogier Q Hintzen
- Department of Neurology (K.L.K., G.P.V.N., M.J., R.Q.H.), MS Center ErasMS (K.L.K., M.J., R.Q.H.), Department of Viroscience (G.P.V.N., S.M.J.S., G.M.G.M.V.), and Department of Immunology (M.J., R.Q.H.), Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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Mozzi A, Pontremoli C, Sironi M. Genetic susceptibility to infectious diseases: Current status and future perspectives from genome-wide approaches. INFECTION GENETICS AND EVOLUTION 2017; 66:286-307. [PMID: 28951201 PMCID: PMC7106304 DOI: 10.1016/j.meegid.2017.09.028] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 09/20/2017] [Accepted: 09/21/2017] [Indexed: 02/06/2023]
Abstract
Genome-wide association studies (GWASs) have been widely applied to identify genetic factors that affect complex diseases or traits. Presently, the GWAS Catalog includes > 2800 human studies. Of these, only a minority have investigated the susceptibility to infectious diseases or the response to therapies for the treatment or prevention of infections. Despite their limited application in the field, GWASs have provided valuable insights by pinpointing associations to both innate and adaptive immune response loci, as well as novel unexpected risk factors for infection susceptibility. Herein, we discuss some issues and caveats of GWASs for infectious diseases, we review the most recent findings ensuing from these studies, and we provide a brief summary of selected GWASs for infections in non-human mammals. We conclude that, although the general trend in the field of complex traits is to shift from GWAS to next-generation sequencing, important knowledge on infectious disease-related traits can be still gained by GWASs, especially for those conditions that have never been investigated using this approach. We suggest that future studies will benefit from the leveraging of information from the host's and pathogen's genomes, as well as from the exploration of models that incorporate heterogeneity across populations and phenotypes. Interactions within HLA genes or among HLA variants and polymorphisms located outside the major histocompatibility complex may also play an important role in shaping the susceptibility and response to invading pathogens. Relatively few GWASs for infectious diseases were performed. Phenotype heterogeneity and case/control misclassification can affect GWAS power. Adaptive and innate immunity loci were identified in several infectious disease GWASs. Unexpected loci (e.g., lncRNAs) were also associated with infection susceptibility. GWASs should integrate host and pathogen diversity and use complex association models.
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Affiliation(s)
- Alessandra Mozzi
- Bioinformatics, Scientific Institute IRCCS E.MEDEA, 23842 Bosisio Parini, Italy
| | - Chiara Pontremoli
- Bioinformatics, Scientific Institute IRCCS E.MEDEA, 23842 Bosisio Parini, Italy
| | - Manuela Sironi
- Bioinformatics, Scientific Institute IRCCS E.MEDEA, 23842 Bosisio Parini, Italy.
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Genome-wide association and HLA region fine-mapping studies identify susceptibility loci for multiple common infections. Nat Commun 2017; 8:599. [PMID: 28928442 PMCID: PMC5605711 DOI: 10.1038/s41467-017-00257-5] [Citation(s) in RCA: 232] [Impact Index Per Article: 33.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Accepted: 06/14/2017] [Indexed: 12/04/2022] Open
Abstract
Infectious diseases have a profound impact on our health and many studies suggest that host genetics play a major role in the pathogenesis of most of them. We perform 23 genome-wide association studies for common infections and infection-associated procedures, including chickenpox, shingles, cold sores, mononucleosis, mumps, hepatitis B, plantar warts, positive tuberculosis test results, strep throat, scarlet fever, pneumonia, bacterial meningitis, yeast infections, urinary tract infections, tonsillectomy, childhood ear infections, myringotomy, measles, hepatitis A, rheumatic fever, common colds, rubella and chronic sinus infection, in over 200,000 individuals of European ancestry. We detect 59 genome-wide significant (P < 5 × 10−8) associations in genes with key roles in immunity and embryonic development. We apply fine-mapping analysis to dissect associations in the human leukocyte antigen region, which suggests important roles of specific amino acid polymorphisms in the antigen-binding clefts. Our findings provide an important step toward dissecting the host genetic architecture of response to common infections. Susceptibility to infectious diseases is, among others, influenced by the genetic landscape of the host. Here, Tian and colleagues perform genome-wide association studies for 23 common infections and find 59 risk loci for 17 of these, both within the HLA region and non-HLA loci.
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Mandage R, Telford M, Rodríguez JA, Farré X, Layouni H, Marigorta UM, Cundiff C, Heredia-Genestar JM, Navarro A, Santpere G. Genetic factors affecting EBV copy number in lymphoblastoid cell lines derived from the 1000 Genome Project samples. PLoS One 2017; 12:e0179446. [PMID: 28654678 PMCID: PMC5487016 DOI: 10.1371/journal.pone.0179446] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 05/29/2017] [Indexed: 12/22/2022] Open
Abstract
Epstein-Barr virus (EBV), human herpes virus 4, has been classically associated with infectious mononucleosis, multiple sclerosis and several types of cancers. Many of these diseases show marked geographical differences in prevalence, which points to underlying genetic and/or environmental factors. Those factors may include a different susceptibility to EBV infection and viral copy number among human populations. Since EBV is commonly used to transform B-cells into lymphoblastoid cell lines (LCLs) we hypothesize that differences in EBV copy number among individual LCLs may reflect differential susceptibility to EBV infection. To test this hypothesis, we retrieved whole-genome sequenced EBV-mapping reads from 1,753 LCL samples derived from 19 populations worldwide that were sequenced within the context of the 1000 Genomes Project. An in silico methodology was developed to estimate the number of EBV copy number in LCLs and validated these estimations by real-time PCR. After experimentally confirming that EBV relative copy number remains stable over cell passages, we performed a genome wide association analysis (GWAS) to try detecting genetic variants of the host that may be associated with EBV copy number. Our GWAS has yielded several genomic regions suggestively associated with the number of EBV genomes per cell in LCLs, unraveling promising candidate genes such as CAND1, a known inhibitor of EBV replication. While this GWAS does not unequivocally establish the degree to which genetic makeup of individuals determine viral levels within their derived LCLs, for which a larger sample size will be needed, it potentially highlighted human genes affecting EBV-related processes, which constitute interesting candidates to follow up in the context of EBV related pathologies.
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Affiliation(s)
- Rajendra Mandage
- Institute of Evolutionary Biology (UPF-CSIC), Departament de Ciències Experimentals i la Salut, Universitat Pompeu Fabra, PRBB, Barcelona, Catalonia, Spain
| | - Marco Telford
- Institute of Evolutionary Biology (UPF-CSIC), Departament de Ciències Experimentals i la Salut, Universitat Pompeu Fabra, PRBB, Barcelona, Catalonia, Spain
| | - Juan Antonio Rodríguez
- Institute of Evolutionary Biology (UPF-CSIC), Departament de Ciències Experimentals i la Salut, Universitat Pompeu Fabra, PRBB, Barcelona, Catalonia, Spain
| | - Xavier Farré
- Institute of Evolutionary Biology (UPF-CSIC), Departament de Ciències Experimentals i la Salut, Universitat Pompeu Fabra, PRBB, Barcelona, Catalonia, Spain
| | - Hafid Layouni
- Institute of Evolutionary Biology (UPF-CSIC), Departament de Ciències Experimentals i la Salut, Universitat Pompeu Fabra, PRBB, Barcelona, Catalonia, Spain
- Bioinformatics Studies, ESCI-UPF, Pg. Pujades 1, Barcelona, Spain
| | - Urko M. Marigorta
- Institute of Evolutionary Biology (UPF-CSIC), Departament de Ciències Experimentals i la Salut, Universitat Pompeu Fabra, PRBB, Barcelona, Catalonia, Spain
- Georgia Institute of Technology, Department of Biology, Atlanta, Georgia, United States of America
| | - Caitlin Cundiff
- Georgia Institute of Technology, Department of Biology, Atlanta, Georgia, United States of America
| | - Jose Maria Heredia-Genestar
- Institute of Evolutionary Biology (UPF-CSIC), Departament de Ciències Experimentals i la Salut, Universitat Pompeu Fabra, PRBB, Barcelona, Catalonia, Spain
| | - Arcadi Navarro
- Institute of Evolutionary Biology (UPF-CSIC), Departament de Ciències Experimentals i la Salut, Universitat Pompeu Fabra, PRBB, Barcelona, Catalonia, Spain
- National Institute for Bioinformatics (INB), PRBB, Barcelona, Catalonia, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), PRBB, Barcelona, Catalonia, Spain
- Center for Genomic Regulation (CRG), PRBB, Barcelona, Catalonia, Spain
- * E-mail: (AN); (GS)
| | - Gabriel Santpere
- Institute of Evolutionary Biology (UPF-CSIC), Departament de Ciències Experimentals i la Salut, Universitat Pompeu Fabra, PRBB, Barcelona, Catalonia, Spain
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, United States of America
- * E-mail: (AN); (GS)
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Endriz J, Ho PP, Steinman L. Time correlation between mononucleosis and initial symptoms of MS. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2017; 4:e308. [PMID: 28271078 PMCID: PMC5330199 DOI: 10.1212/nxi.0000000000000308] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Accepted: 10/20/2016] [Indexed: 11/25/2022]
Abstract
Objective: To determine the average age of MS onset vs the age at which Epstein-Barr infection has previously occurred and stratify this analysis by sex and the blood level of Epstein-Barr nuclear antigen 1 (EBNA1) antibody. Methods: Using infectious mononucleosis (IM) as a temporal marker in data from the Swedish epidemiologic investigation of MS, 259 adult IM/MS cases were identified and then augmented to account for “missing” childhood data so that the average age of MS onset could be determined for cases binned by age of IM (as stratified by sex and EBNA1 titer level). Results: Mean age of IM vs mean age of MS reveals a positive time correlation for all IM ages (from ∼5 to ∼30 years), with IM-to-MS delay decreasing with increased age. When bifurcated by sex or EBNA1 blood titer levels, males and high-titer subpopulations show even stronger positive time correlation, while females and low-titer populations show negative time correlation in early childhood (long IM/MS delay). The correlation becomes positive in females beyond puberty. Conclusions: IM/MS time correlation implies causality if IM is time random. Alternative confounding models seem implausible, in light of constraints imposed by time-invariant delay observed here. Childhood infection with Epstein-Barr virus (EBV) in females and/or those genetically prone to low EBNA1 blood titers will develop MS slowly. Males and/or high EBNA1-prone develop MS more rapidly following IM infection at all ages. For all, postpubescent EBV infection is critical for the initiation and rapid development of MS.
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Affiliation(s)
- John Endriz
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA
| | - Peggy P Ho
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA
| | - Lawrence Steinman
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA
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Abstract
Steroid sensitive nephrotic syndrome is marked by a massive proteinuria and loss of podocytes foot processes. The mechanism of the disease remains debated but recent publications suggest a primary role of Epstein-Barr Virus (EBV). EBV replication in the peripheral blood is found in 50% of patients during the first flare of the disease. The genetic locus of steroid sensitive nephrotic syndrome was also identified as influencing antibodies directed against EBNA1. EBV is able to establish, latent benign infection in memory B cells that display phenotypes similar to antigen-selected memory B cells. Consistently, memory B cells reconstitution after rituximab infusion is a predictor of the relapse of proteinuria. We suggest that a specific anti-EBNA1 antibody internalized in the podocytes via the neonatal Fc receptor might cross-react with a major protein present in the same cell trafficking compartment. The diversion of this major podocyte protein in the urinary space and the subsequent depletion is supposed to result in podocyte damages with loss of foot processes and massive proteinuria. Immunosuppression of B cells and subsequent clearance of anti-EBNA1 antibodies would lead to a restoration of the normal level of the protein allowing recovery of proteinuria and of normal podocyte morphology.
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Tao C, Simpson S, Taylor BV, van der Mei I. Association between human herpesvirus & human endogenous retrovirus and MS onset & progression. J Neurol Sci 2016; 372:239-249. [PMID: 28017222 DOI: 10.1016/j.jns.2016.11.060] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 11/02/2016] [Accepted: 11/23/2016] [Indexed: 10/20/2022]
Abstract
This review discusses the role of Epstein-Barr virus (EBV), human herpesvirus 6 (HHV6) and human endogenous retroviruses (HERVs) in the onset and progression of multiple sclerosis (MS). Although EBV has been established as one of the causal factors in MS onset, its role in MS progression is still uncertain. Moreover, interactions between EBV and other risk factor on MS development still need more investment. With less consistent evidence than EBV, HHV6 has also been implicated in the pathogenesis of MS; moreover, it showed a closer connection with the disease activity. Recent studies found that HERVs were associated with the development and progression of MS. Some antiviral treatments have shown promise for clinical interventions in the future. Future studies are yet needed to fully clarify the role of these agents in MS onset and disease course and the modes by which they realise these effects.
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Affiliation(s)
- Chunrong Tao
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - Steve Simpson
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - Bruce V Taylor
- Menzies Institute for Medical Research, University of Tasmania, Australia
| | - Ingrid van der Mei
- Menzies Institute for Medical Research, University of Tasmania, Australia.
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'tHart BA, Kap YS, Morandi E, Laman JD, Gran B. EBV Infection and Multiple Sclerosis: Lessons from a Marmoset Model. Trends Mol Med 2016; 22:1012-1024. [PMID: 27836419 DOI: 10.1016/j.molmed.2016.10.007] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Revised: 10/11/2016] [Accepted: 10/13/2016] [Indexed: 12/26/2022]
Abstract
Multiple sclerosis (MS) is thought to be initiated by the interaction of genetic and environmental factors, eliciting an autoimmune attack on the central nervous system. Epstein-Barr virus (EBV) is the strongest infectious risk factor, but an explanation for the paradox between high infection prevalence and low MS incidence remains elusive. We discuss new data using marmosets with experimental autoimmune encephalomyelitis (EAE) - a valid primate model of MS. The findings may help to explain how a common infection can contribute to the pathogenesis of MS. We propose that EBV infection induces citrullination of peptides in conjunction with autophagy during antigen processing, endowing B cells with the capacity to cross-present autoantigen to CD8+CD56+ T cells, thereby leading to MS progression.
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Affiliation(s)
- Bert A 'tHart
- Department of Immunobiology, Biomedical Primate Research Centre (BPRC), Rijswijk, The Netherlands; University of Groningen, University Medical Center, Department of Neuroscience, Groningen, The Netherlands.
| | - Yolanda S Kap
- Department of Immunobiology, Biomedical Primate Research Centre (BPRC), Rijswijk, The Netherlands
| | - Elena Morandi
- Division of Clinical Neuroscience, University of Nottingham School of Medicine, Nottingham, UK
| | - Jon D Laman
- University of Groningen, University Medical Center, Department of Neuroscience, Groningen, The Netherlands
| | - Bruno Gran
- Division of Clinical Neuroscience, University of Nottingham School of Medicine, Nottingham, UK; Department of Neurology, Nottingham University Hospitals National Health Service (NHS) Trust, Nottingham, UK
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Sarri CA, Markantoni M, Stamatis C, Papa A, Tsakris A, Pervanidou D, Baka A, Politis C, Billinis C, Hadjichristodoulou C, Mamuris Z. Genetic Contribution of MHC Class II Genes in Susceptibility to West Nile Virus Infection. PLoS One 2016; 11:e0165952. [PMID: 27812212 PMCID: PMC5094746 DOI: 10.1371/journal.pone.0165952] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Accepted: 10/20/2016] [Indexed: 11/19/2022] Open
Abstract
WNV is a zoonotic neurotropic flavivirus that has recently emerged globally as a significant cause of viral encephalitis. The last five years, 624 incidents of WNV infection have been reported in Greece. The risk for severe WNV disease increases among immunosuppressed individuals implying thus the contribution of the MHC locus to the control of WNV infection. In order to investigate a possible association of MHC class II genes, especially HLA-DPA1, HLA-DQA1, HLA-DRB1, we examined 105 WNV patients, including 68 cases with neuroinvasive disease and 37 cases with mild clinical phenotype, collected during the period from 2010 to2013, and 100 control individuals selected form the Greek population. Typing was performed for exon 2 for all three genes. DQA1*01:01 was considered to be "protective" against WNV infection (25.4% vs 40.1%, P = 0.004) while DQA1*01:02 was associated with increased susceptibility (48.0% vs 32.1%, P = 0.003). Protection against neuroinvasion was associated with the presence of DRB1*11:02 (4.99% vs 0.0%, P = 0.018). DRB1*16:02 was also absent from the control cohort (P = 0.016). Three additional population control groups were used in order to validate our results. No statistically significant association with the disease was found for HLA-DPA alleles. The results of the present study provide some evidence that MHC class II is involved in the response to WNV infection, outlining infection "susceptibility" and "CNS-high-risk" candidates. Furthermore, three new alleles were identified while the frequency of all alleles in the study was compared with worldwide data. The characterization of the MHC locus could help to estimate the risk for severe WNV cases in a country.
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Affiliation(s)
- Constantina A. Sarri
- Laboratory of Genetics, Comparative and Evolutionary Biology, Department of Biochemistry and Biotechnology, University of Thessaly, Larissa, Greece
| | - Maria Markantoni
- Laboratory of Genetics, Comparative and Evolutionary Biology, Department of Biochemistry and Biotechnology, University of Thessaly, Larissa, Greece
| | - Costas Stamatis
- Laboratory of Genetics, Comparative and Evolutionary Biology, Department of Biochemistry and Biotechnology, University of Thessaly, Larissa, Greece
| | - Anna Papa
- Arboviruses Reference Laboratory, 1st Microbiological Laboratory, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Athanasios Tsakris
- Laboratory of Microbiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Danai Pervanidou
- Hellenic Centre for Disease Control and Prevention (HCDCP), Attika, Greece
| | - Agoritsa Baka
- Hellenic Centre for Disease Control and Prevention (HCDCP), Attika, Greece
| | | | - Charalambos Billinis
- Laboratory of Microbiology and Parasitology, Faculty of Veterinary Medicine, University of Thessaly, Karditsa, Greece
| | | | - Zissis Mamuris
- Laboratory of Genetics, Comparative and Evolutionary Biology, Department of Biochemistry and Biotechnology, University of Thessaly, Larissa, Greece
- * E-mail:
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Worth AJJ, Houldcroft CJ, Booth C. Severe Epstein-Barr virus infection in primary immunodeficiency and the normal host. Br J Haematol 2016; 175:559-576. [PMID: 27748521 DOI: 10.1111/bjh.14339] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Epstein-Barr virus (EBV) infection is ubiquitous in humans, but the majority of infections have an asymptomatic or self-limiting clinical course. Rarely, individuals may develop a pathological EBV infection with a variety of life threatening complications (including haemophagocytosis and malignancy) and others develop asymptomatic chronic EBV viraemia. Although an impaired ability to control EBV infection has long been recognised as a hallmark of severe T-cell immunodeficiency, the advent of next generation sequencing has identified a series of Primary Immunodeficiencies in which EBV-related pathology is the dominant feature. Chronic active EBV infection is defined as chronic EBV viraemia associated with systemic lymphoproliferative disease, in the absence of immunodeficiency. Descriptions of larger cohorts of patients with chronic active EBV in recent years have significantly advanced our understanding of this clinical syndrome. In this review we summarise the current understanding of the pathophysiology and natural history of these diseases and clinical syndromes, and discuss approaches to the investigation and treatment of severe or atypical EBV infection.
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Affiliation(s)
- Austen J J Worth
- Department of Immunology, Great Ormond Street Hospital, London, UK.,Molecular and Cellular Immunology Section, UCL Institute of Child Health, London, UK
| | - Charlotte J Houldcroft
- Infection, Inflammation and Rheumatology Section, UCL Institute of Child Health, London, UK
| | - Claire Booth
- Department of Immunology, Great Ormond Street Hospital, London, UK.,Molecular and Cellular Immunology Section, UCL Institute of Child Health, London, UK
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Frau J, Cossu D, Sardu C, Mameli G, Coghe G, Lorefice L, Fenu G, Tranquilli S, Sechi LA, Marrosu MG, Cocco E. Combining HLA-DRB1-DQB1 and Mycobacterium Avium Subspecies Paratubercolosis (MAP) antibodies in Sardinian multiple sclerosis patients: associated or independent risk factors? BMC Neurol 2016; 16:148. [PMID: 27552900 PMCID: PMC4994163 DOI: 10.1186/s12883-016-0669-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 08/10/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Amongst Sardinians the human leukocyte antigen (HLA) DRB1-DQB1 haplotypes *15:02-*06:01, *16:01-*05:02, *14:01-4-*05:03 are protective for multiple sclerosis (MS), while *13:03-*03:01, *04:05-*03:01, *03:01-*02:01, *15:01-*06:02 and Mycobacterium avium subspecies paratubercolosis (MAP) are predisposing factors. We studied the correlation between MAP and HLA. METHODS Five hundred thirty-one patients were searched for anti-MAP2694 antibodies, DRB1-DQB1 genotyping was performed. The haplotypes were classified as predisposing, neutral or protective. RESULTS Anti-MAP2694 were found in 23 % of subjects carrying one protective HLA versus 32 % without (p = 0.04). CONCLUSIONS We showed a lower frequency of Abs in patients with protective HLA. These haplotypes could have a protective role for both MS and MAP.
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Affiliation(s)
- J Frau
- Multiple Sclerosis Centre, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy.
| | - D Cossu
- Department of Biomedical Sciences, Section of Experimental and Clinical Microbiology, University of Sassari, Sassari, Italy
| | - C Sardu
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - G Mameli
- Department of Biomedical Sciences, Section of Experimental and Clinical Microbiology, University of Sassari, Sassari, Italy
| | - G Coghe
- Multiple Sclerosis Centre, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - L Lorefice
- Multiple Sclerosis Centre, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - G Fenu
- Multiple Sclerosis Centre, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - S Tranquilli
- Multiple Sclerosis Centre, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - L A Sechi
- Department of Biomedical Sciences, Section of Experimental and Clinical Microbiology, University of Sassari, Sassari, Italy
| | - M G Marrosu
- Multiple Sclerosis Centre, Department of medical sciences, University of Cagliari, Cagliari, Italy
| | - E Cocco
- Multiple Sclerosis Centre, Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
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