2017
DOI: 10.1038/cti.2016.87
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Defective T‐cell control of Epstein–Barr virus infection in multiple sclerosis

Abstract: Mounting evidence indicates that infection with Epstein–Barr virus (EBV) has a major role in the pathogenesis of multiple sclerosis (MS). Defective elimination of EBV-infected B cells by CD8+ T cells might cause MS by allowing EBV-infected autoreactive B cells to accumulate in the brain. Here we undertake a comprehensive analysis of the T-cell response to EBV in MS, using flow cytometry and intracellular IFN-γ staining to measure T-cell responses to EBV-infected autologous lymphoblastoid cell lines and pools o… Show more

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Cited by 107 publications
(133 citation statements)
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References 86 publications
(149 reference statements)
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“…In the 1980s, largely driven by the increasing use of experimental autoimmune encephalomyelitis (EAE) as an animal model of MS, there was a more T cell-centric view of MS pathophysiology. Currently MS disease pathology is thought to invoke key interactions between T and B cells, particularly between their memory subsets, all supported by convergence of clinical trial results and laboratory-based studies [6][7][8][9][10]18,25,52,86]. The high tropism that EBV has for B cells, and its mechanisms of immune avoidance, serve to promote long-term survival and persistence (of both the virus and memory B cells), which fundamentally alter B cell biology, resulting in persistence and accumulation of disease-relevant EBV-infected autoreactive B cells.…”
Section: Discussionmentioning
confidence: 99%
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“…In the 1980s, largely driven by the increasing use of experimental autoimmune encephalomyelitis (EAE) as an animal model of MS, there was a more T cell-centric view of MS pathophysiology. Currently MS disease pathology is thought to invoke key interactions between T and B cells, particularly between their memory subsets, all supported by convergence of clinical trial results and laboratory-based studies [6][7][8][9][10]18,25,52,86]. The high tropism that EBV has for B cells, and its mechanisms of immune avoidance, serve to promote long-term survival and persistence (of both the virus and memory B cells), which fundamentally alter B cell biology, resulting in persistence and accumulation of disease-relevant EBV-infected autoreactive B cells.…”
Section: Discussionmentioning
confidence: 99%
“…MS does not develop in the absence of exposure to EBV, and EBV is a 'required', but insufficient on its own, contributor in early disease pathophysiology. Independent support comes from an observed higher rate of EBV activation in MS [22,23], a role for EBV in triggering new relapses consistent with a reduced ability of EBV-specific CD8 + T cells (e.g., T cell exhaustion, see Glossary) to limit EBV reactivation in MS patients [24,25], and a strong correlation between the presence of anti-EBV antibodies in blood and disease onset [26][27][28][29]. Evidence of CNS involvement comes from reports of elevated anti-EBNA1 IgG serology associated with the appearance of new gadolinium (Gd)enhancing brain lesions [30] and the presence, in patients, of EBNA1-specific T cells recognizing myelin [31].…”
Section: Multiple Sclerosis and Ebv: Evolution Of The Theorymentioning
confidence: 95%
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“…In our exploratory studies, however, we did not find evidence for antigen-specific targeting of EBV by vitamin D. We did not find an increase in the proportion of EBV specific CD8 + T cells, which have recently shown to be functionally impaired in MS [526] , nor a decrease in the EBV load in peripheral blood mononuclear cells in the vitamin D supplemented group, and therefore no evidence for a better elimination of EBV. However, we should bear in mind that we explored this in small sample sizes and only had excess to cells from the circulation in this study.…”
contrasting
confidence: 85%
“…Defective CD8 T-cell control of EBV reactivation may also result in the expansion of EBV-infected, autoreactive B cells in multiple sclerosis (MS) 8 ; improvement of MS has followed infusion of autologous EBV-specific CD8 T-cells 2 . Improved T-cell therapies would benefit from insights derived from approaches that integrate computational biology and structural modeling to predict optimum TCR features and identify TCR antigen-specificity groups [9][10][11][12][13][14] .…”
Section: Introductionmentioning
confidence: 99%