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. 2025 Mar 6;148(3):933-940.
doi: 10.1093/brain/awae244.

Broader anti-EBV TCR repertoire in multiple sclerosis: disease specificity and treatment modulation

Affiliations

Broader anti-EBV TCR repertoire in multiple sclerosis: disease specificity and treatment modulation

Tilman Schneider-Hohendorf et al. Brain. .

Abstract

Epstein-Barr virus (EBV) infection has long been associated with the development of multiple sclerosis (MS). Patients with MS have elevated titres of EBV-specific antibodies in serum and show signs of CNS damage only after EBV infection. Regarding CD8+ T cells, an elevated but ineffective response to EBV was suggested in MS patients, who present with a broader MHC-I-restricted EBV-specific T-cell receptor beta chain (TRB) repertoire compared to controls. It is not known whether this altered EBV response could be subject to dynamic changes, e.g. by approved MS therapies, and whether it is specific for MS. Peripheral blood TRB repertoire samples (n = 1317) of healthy donors (n = 409), patients with MS (n = 710) before and after treatment, patients with neuromyelitis optica spectrum disorder (n = 87), MOG antibody-associated disease (MOGAD) (n = 64) and Susac's syndrome (n = 47) were analysed. Apart from MS, none of the evaluated diseases presented with a broader anti-EBV TRB repertoire. In MS patients undergoing autologous haematopoietic stem-cell transplantation, EBV reactivation coincided with elevated MHC-I-restricted EBV-specific TRB sequence matches. Therapy with ocrelizumab, teriflunomide or dimethyl fumarate reduced EBV-specific, but not CMV-specific MHC-I-restricted TRB sequence matches. Together, these data suggest that the aberrant MHC-I-restricted T-cell response directed against EBV is specific to MS with regard to neuromyelitis optica, MOGAD and Susac's syndrome and that it is specifically modified by MS treatments interfering with EBV host cells or activated lymphocytes.

Keywords: Epstein-Barr virus; Susac’s syndrome; T-cell receptor; multiple sclerosis; myelin-oligodendrocyte-glycoprotein antibody-associated disease; neuromyelitis optica spectrum disorder.

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Conflict of interest statement

C.R. reported being an employee and shareholder of F. Hoffmann-La Roche. F.R. reported a patent to US10731212B2 issued and a patent to immunoPETE related pending, and is an employee of Roche Diagnostics and receives salary, stock, and options as part of his employment compensation. U.S., H.M. and H.A. reported being employees of Roche Diagnostics and receive salary, stock, and options as part of his compensation. D.M., W. Z. and H.C.-H. are employees of Adaptive Biotechnologies and receive salary, stock, and options as part of their employment compensation. M.P. received personal fees and nonfinancial support from Novartis, Bayer Vital GmbH, Roche, Alexion, ArgenX, Hexal, Merck, Roche, Biogen and Teva, all outside the submitted work. M.R. received speaker honoraria from Novartis, Bayer Vital GmbH, Roche, Alexion, Horizon and Ipsen and travel reimbursement from Bayer Schering, Biogen Idec, Merz, Genzyme, Teva, Roche, Horizon, Alexion and Merck, none related to this study. S.G.M. reported personal fees from Academy 2, Argenx, Alexion, Almirall, Amicus Therapeutics Germany, Bayer Health Care, Biogen, BioNTech, Bristol Myers Squibb, Celgene, Datamed, Demecan, Desitin, Diamed, Diaplan, DIU Dresden, DPmed, Genzyme, Hexal AG, Impulze GmbH, Janssen Cilag, KW Medipoint, MedDay Pharmaceuticals, Merck Serono, MICE, Mylan, Neuraxpharm, Neuropoint, Novartis, Novo Nordisk, ONO Pharma, Oxford PharmaGenesis, Roche, Sanofi-Aventis, Springer Medizin Verlag, STADA, Chugai Pharma, QuintilesIMS, Teva, Wings for Life International, and Xcenda as well as grants from the German Ministry for Education and Research (BMBF), Bundesinstitut für Risikobewertung (BfR), Deutsche Forschungsgemeinschaft (DFG), Else Kröner Fresenius Foundation, Gemeinsamer Bundesausschuss (G-BA), German Academic Exchange Service, Hertie Foundation, Interdisciplinary Center for Clinical Studies (IZKF) Munster, German Foundation Neurology, Alexion, Almirall, Amicus Therapeutics Germany, Biogen, Diamed, Deutsche Gesellschaft für Materialkunde (DGM), Fresenius Medical Care, Genzyme, Gesellschaft von Freunden und Förderern der Heinrich-Heine-Universität Düsseldorf, HERZ Burgdorf, Merck Serono, Novartis, ONO Pharma, Roche, and Teva outside the submitted work. B.W. reported grants from the Deutsche Forschungsgemeinschaft, German Ministry of Education and research, Baden-Württemberg Ministry for Science, Research and Art, Dietmar Hopp Foundation, Klaus Tschira Foundation, grants and personal fees from Merck, Novartis, and personal fees from Alexion, INSTAND, Roche. M.K. received honoraria for teaching activities from Roche Pharma, Chugai Pharma und Novartis Pharma, none related to this study. M.W.H. received research support from Myelitis e. V., speaker honoraria from selpers og, and reimbursement of travel expenses and compensation for serving on an advisory boards from Alexion. None of this interfered with the current manuscript. C.T. has received honoraria for consultation and expert testimony from Alexion Pharma Germany GmbH, and Roche Pharma GmbH. None of this interfered with the current report. C.S. has received speaker honoraria from Alexion and travel support from Novartis and UCB. All not related to the content of this manuscript. J.H. reports a grant for OCT research from the Friedrich-Baur-Stiftung and Merck, personal fees and nonfinancial support from Merck, Alexion, Novartis, Roche, Celgene, Biogen, Bayer and Horizon and nonfinancial support of the Sumaira-Foundation and Guthy-Jackson Charitable Foundation, all outside the submitted work. T.K. reported personal fees from Novartis Pharma, Roche Pharma, Merck, Alexion/AstraZeneca, and Biogen for advisory boards/speaker honoraria outside the submitted work. J.M. reported personal fees from Novartis, Biogen and Merck Serono outside of the submitted work. P.M. reports no conflict of interest. He discloses grants from NIHR-EME and the Benaroya Research Institute and consulting fees. C.C.G. reported grants from DFG SFB/TR128 A09 during the conduct of the study; grants from DFG (single grant GR3946-3/1), IZKF (grant Kl13_010_19), Horizon2020 ReSToRe, Biogen, Roche, and Novartis Pharma; personal fees from MyLan and DIU Dresden International University GmbH; and other from Biogen, Euroimmun, MyLan, and Novartis Pharma outside the submitted work. L.K. reported personal fees from Alexion, Bayer, Biogen, Celgene, Sanofi, Horizon, Grifols, Merck Serono, Novartis, Roche, Santhera, and Teva; and grants from German Research Foundation, IZKF Münster, IMF Münster, Biogen, Immunic AG, Novartis, and Merck Serono outside the submitted work. H.W. reported personal fees for Abbvie, Alexion, Argenx, Biogen, Bristol Myers Squibb/Celgene, EMD Serono, F. Hoffmann-La Roche Ltd., Fondazione Cariplo, Genzyme, Gossamer Bio, Idorsia, Immunic, Immunovant, Janssen, Lundbeck, Merck, Neurodiem, NexGen, Novartis, PSI CRO, Roche Pharma AG, Sanofi, Swiss Multiple Sclerosis Society TEVA, UCB Biopharma, WebMD Global, and Worldwide Clinical Trials outside the submitted work. He reported grants by the DFG (CRC128 A09 and 445569437) during the conduct of the study, and funding by German Federal Ministry for Education and Research (BMBF), Deutsche Myasthenie Gesellschaft e.V., Alexion, Amicus Therapeutics Inc., Argenx, Biogen, CSL Behring, Roche, Genzyme, Merck, Novartis Pharma, Roche Pharma, and UCB Biopharma outside of the submitted work. N.S. reported grants from DFG and Roche during the conduct of the study.

Figures

Figure 1
Figure 1
Broader EBV-specific TRB repertoire is MS-specific with regard to differential diagnoses. HLA-matched comparisons of EBV-specific TRB sequences from patients with NMOSD (A), MOGAD (B) or SuS (C). Each patient group matched 3:1 with healthy donors (HD) and 1:1 with multiple sclerosis (MS) patients. This resulted in a group comparison of 87 neuromyelitis optica spectrum disorder (NMOSD) patients versus 87 MS patients and 261 healthy donors (A), 64 MOG antibody-associated disease (MOGAD) patients versus 64 MS patients and 192 healthy donors (B), and 47 Susac syndrome (SuS) patients versus 47 MS patients and 141 healthy donors (C). Shown is the number of EBV-specific TRB sequence matches in a sample, as well as the level of significance for the cohort differences between healthy donors versus MS and healthy donors versus NMOSD/MOGAD/SuS from linear models adjusted for age, sex, sequencing depth, current therapy and HLA. The boxes indicate the 25% and 75% percentile with a line at the median, the whiskers extend from the hinge to the largest/smallest value no further than 1.5× interquartile range from the hinge. *P < 0.05, **P < 0.01 or ***P < 0.001. An overview of the patient groups including HLA backgrounds is given in Supplementary Table 1. EBV = Epstein-Barr virus; n.s. = not significant; TRB = T-cell receptor beta chain.
Figure 2
Figure 2
EBV-specific TRB sequences spike in patients undergoing AHSCT. Two independent, previously published cohorts (A, n = 24 in Muraro et al. and B, n = 13 in Massey et al.) of multiple sclerosis (MS) patients before autologous haematopoietic stem-cell transplantation (AHSCT) and 2, 6, 12, 24 and 36 months after AHSCT were analysed. The number of Epstein-Barr virus (EBV)-specific T-cell receptor beta chain (TRB) sequence matches per 104 unique TRB sequences are shown. Red dots and boxes in A indicate MS patients with EBV reactivation or reinfection according to the primary publication. Orange dots and boxes in B indicate MS patients with high EBV viral load in the period of observation. The significance level (***P < 0.0001) in A or (*P < 0.05; **P < 0.01) indicates the difference in counts of EBV-specific TRB sequence matches in MS patients at the indicated time point with a linear mixed model and the covariates age, sex, therapy (AHSCT after baseline), time point, EBV infection status and a random intercept for each study participant. Black and red/orange dots represent individual patient samples. The boxes indicate the 25% and 75% percentile with a line at the median, the whiskers extend from the hinge to the largest/smallest value no further than 1.5× interquartile range from the hinge. Grey lines connect the same individual.
Figure 3
Figure 3
Treatment with ocrelizumab, teriflunomide and dimethyl fumarate reduces EBV-specific but not CMV-specific TRB sequence matches. (A) Epstein-Barr virus (EBV)-specific T-cell receptor beta chain (TRB) sequences of healthy donors (n = 16) and multiple sclerosis (MS) patients (other panels, n = 198) are shown at multiple time points. MS patients either received no treatment (untreated MS) (n = 24) or one of glatiramer acetate (n = 30), interferon beta (n = 65), ocrelizumab [investigator-initiated trial (IIT) cohort: n = 27; ENSEMBLE cohort: n = 17], teriflunomide (n = 27) or dimethyl fumarate (n = 8). The time points correspond to pretreatment (Time = 0) and ON treatment (Time = 1, 2, 3, 6, 12 and 24 months of continuous treatment). A linear mixed model on the presence of EBV-specific TRB sequence matches was developed for the data in A. Covariates of the linear mixed model included age, sex, therapy (after baseline), EBV-specific TRB sequences at baseline, MS status (MS patient or healthy donors), cell type [CD8+ T cell or peripheral blood mononuclear cell (PBMC)], sequencing depth, study, all relevant HLAs from the sequence database, and a random intercept for each study participant. (B) A selection of the effect size of each of the covariates in the linear mixed model of A. Asterisks indicate adjusted q-values: *q < 0.05 or **q < 0.01. Grey lines connect the same individual. Red lines indicate a linear regression. An overview of the patient groups, the analysed samples and the full model parameters are given in Supplementary Table 1. CMV = cytomegalovirus.

Comment in

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