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Blood lymphocyte subsets identify optimal responders to IFN-beta in MS

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A Correction to this article was published on 24 November 2017

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Abstract

Response to interferon-beta (IFN-beta) treatment is heterogeneous in multiple sclerosis (MS). We aimed to search for biomarkers predicting no evidence of disease activity (NEDA) status upon IFN-beta treatment in MS. 119 patients with relapsing–remitting MS (RRMS) initiating IFN-beta treatment were included in the study, and followed prospectively for 2 years. Neutralizing antibodies (NAb) were explored in serum samples obtained after 6 and 12 months of IFN-beta treatment. Soluble cytokines and blood lymphocytes were studied in basal samples by ELISA and flow cytometry, respectively. 9% of patients developed NAb. These antibodies were more frequent in patients receiving IFN-beta 1b than in those treated subcutaneous (p = 0.008) or intramuscular (p < 0.0001) IFN-beta 1a. No patient showing NAb remained NEDA during follow-up. Basal immunological variables are also associated with patient response. Percentages below 3% of CD19 + CD5 + cells (AUC 0.74, CI 0.63–0.84; OR 10.68, CI 3.55–32.15, p < 0.0001; Likelihood ratio 4.28) or above 2.6% of CD8 + perforin + T cells (AUC 0.79, CI 0.63–0.96; OR 6.11, CI 2.0–18.6, p = 0.0009; Likelihood ratio 5.47) increased the probability of achieving NEDA status during treatment. Basal blood immune cell subsets contribute to identify MS patients with a high probability of showing an optimal response to IFN-beta.

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  • 24 November 2017

    The author claims that his name is incorrectly listed on PubMed. It seems that the first and last name has been mixed up.

References

  1. The IFNB Multiple Sclerosis Study Group (1993) Interferon beta-1b is effective in relapsing-remitting multiple sclerosis. I. Clinical results of a multicenter, randomized, double-blind, placebo-controlled trial. Neurology 43:655–661

    Article  Google Scholar 

  2. Jacobs LD, Cookfair DL, Rudick RA et al (1996) Intramuscular interferon beta-1a for disease progression in relapsing multiple sclerosis. The Multiple Sclerosis Collaborative Research Group (MSCRG). Ann Neurol 39:285–294

    Article  CAS  PubMed  Google Scholar 

  3. PRISMS (Prevention of Relapses and Disability by Interferon beta-1a Subcutaneously in Multiple Sclerosis) (1998) Study group randomised double-blind placebo-controlled study of interferon beta-1a in relapsing/remitting multiple sclerosis. Lancet 352:1498–1504

    Article  Google Scholar 

  4. Einarson TR, Bereza BG, Machado M (2017) Comparative effectiveness of interferons in relapsing–remitting multiple sclerosis: a meta-analysis of real-world studies. Curr Med Res Opin 33:579–593

    Article  CAS  PubMed  Google Scholar 

  5. Giovannoni G, Turner B, Gnanapavan S, Offiah C, Schmierer K, Marta M (2015) Is it time to target no evident disease activity (NEDA) in multiple sclerosis? Mult Scler Relat Disord 4:329–333

    Article  PubMed  Google Scholar 

  6. Rotstein DL, Healy BC, Malik MT, Chitnis T, Weiner HL (2015) Evaluation of no evidence of disease activity in a 7-year longitudinal multiple sclerosis cohort. JAMA Neurol 72:152–158

    Article  PubMed  Google Scholar 

  7. Río J, Castilló J, Rovira A et al (2009) Measures in the first year of therapy predict the response to interferon beta in MS. Mult Scler 15:848–853

    Article  PubMed  Google Scholar 

  8. Martínez-Rodríguez JE, López-Botet M, Munteis E, Rio J, Roquer J, Montalban X, Comabella M (2011) Natural killer cell phenotype and clinical response to interferon-beta therapy in multiple sclerosis. Clin Immunol 141:348–356

    Article  PubMed  Google Scholar 

  9. Hartung HP, Steinman L, Goodin DS et al (2013) Interleukin 17F level and interferon beta response in patients with multiple sclerosis. JAMA Neurol 70:1017–1021

    Article  PubMed  PubMed Central  Google Scholar 

  10. Pachner AR, Dail D, Pak E, Narayan K (2005) The importance of measuring IFNbeta bioactivity: monitoring in MS patients and the effect of anti-IFNbeta antibodies. J Neuroimmunol 166:180–188

    Article  CAS  PubMed  Google Scholar 

  11. Ransohoff RM, Hafler DA, Lucchinetti CE (2015) Multiple sclerosis—a quiet revolution. Nat Rev Neurol 11:134–142

    Article  PubMed  PubMed Central  Google Scholar 

  12. De Mercanti S, Rolla S, Cucci A et al (2016) Alemtuzumab long-term immunologic effect: Treg suppressor function increases up to 24 months. Neurol Neuroimmunol Neuroinflamm 3:e194

    Article  PubMed  PubMed Central  Google Scholar 

  13. Blumenfeld S, Staun-Ram E, Miller A (2016) Fingolimod therapy modulates circulating B cell composition, increases B regulatory subsets and production of IL-10 and TGFβ in patients with multiple sclerosis. J Autoimmun 70:40–51

    Article  CAS  PubMed  Google Scholar 

  14. Bielekova B, Catalfamo M, Reichert-Scrivner S et al (2006) Regulatory CD56 (bright) natural killer cells mediate immunomodulatory effects of IL-2R alpha-targeted therapy (daclizumab) in multiple sclerosis. Proc Natl Acad Sci USA 103:5941–5946

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Polman CH, Reingold SC, Banwell B et al (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69:292–302

    Article  PubMed  PubMed Central  Google Scholar 

  16. García-Montojo M, Domínguez-Mozo MI, De las Heras V, Bartolome M, Garcia-Martinez A, Arroyo R, Alvarez-Lafuente R (2010) Neutralizing antibodies, MxA expression and MMP-9/TIMP-1 ratio as markers of bioavailability of interferon beta treatment in multiple sclerosis patients. A two years follow-up study. Eur J Neurol 17:470–478

    Article  PubMed  Google Scholar 

  17. Kawade Y (1986) Quantitation of neutralization of interferon by antibody. Methods Enzymol 119:558–573

    Article  CAS  PubMed  Google Scholar 

  18. Reimann KA, Chernoff M, Wilkening CL, Nickerson CE, Landay AL (2000) Preservation of lymphocyte immunophenotype and proliferative responses in cryopreserved peripheral blood mononuclear cells from human immunodeficiency virus type 1-infected donors: implications for multicenter clinical trials. The ACTG immunology advanced technology laboratories. Clin Diag Lab Immunol 7:352–359

    CAS  Google Scholar 

  19. Bushnell SE, Zhao Z, Stebbins CC et al (2012) Serum IL-17F does not predict poor response to IM IFNbeta-1a in relapsing–remitting MS. Neurology 79:531–537

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Bertolotto A, Sala A, Malucchi S, Marnetto F, Caldano M, Di Sapio A, Capobianco M, Gilli F (2004) Biological activity of interferon betas in patients with multiple sclerosis is affected by treatment regimen and neutralising antibodies. J Neurol Neurosurg Psychiatry 75:1294–1299

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Bertolotto A, Malucchi S, Sala A et al (2002) Differential effects of three interferon betas on neutralising antibodies in patients with multiple sclerosis: a follow up study in an independent laboratory. J Neurol Neurosurg Psychiatry 73:148–153

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Frisullo G, Nociti V, Iorio R et al (2009) Regulatory T cells fail to suppress CD4T + -bet + T cells in relapsing multiple sclerosis patients. Immunology 127:418–428

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Seidi OA, Semra YK, Sharief MK (2002) Expression of CD5 on B lymphocytes correlates with disease activity in patients with multiple sclerosis. J Neuroimmunol 133:205–210

    Article  CAS  PubMed  Google Scholar 

  24. Villar LM, Espiño M, Roldán E, Marín N, Costa-Frossard L, Muriel A, Alvarez-Cermeño JC (2011) Increased peripheral blood CD5 + B cells predict earlier conversion to MS in high-risk clinically isolated syndromes. Mult Scler 17:690–694

    Article  PubMed  Google Scholar 

  25. Praksova P, Stourac P, Bednarik J, Vlckova E, Mikulkova Z, Michalek J (2012) Immunoregulatory T cells in multiple sclerosis and the effect of interferon beta and glatiramer acetate treatment on T cell subpopulations. J Neurol Sci 319:18–23

    Article  CAS  PubMed  Google Scholar 

  26. Skulina C, Schmidt S, Dornmair K et al (2004) Multiple sclerosis: brain-infiltrating CD8 + T cells persist as clonal expansions in the cerebrospinal fluid and blood. Proc Natl Acad Sci USA 101:2428–2433

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Salou M, García A, Michel L et al (2015) Expanded CD8 T-cell sharing between periphery and CNS in multiple sclerosis. Ann Clin Transl Neurol 2:609–622

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This work was supported by Grants PI15/00513, RD16/0015/0001, RD16/0015/0004 and RD16/0015/0013 from the Fondo para la Investigación Sanitaria, Instituto de Salud Carlos III, Ministerio de Economía y Competitividad, Spain and FEDER.

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Correspondence to Luisa M. Villar.

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Ethical statement

The study protocol was approved by the Ethics Committee of Hospital Universitario Ramón y Cajal (Madrid, Spain) and of Hospital Universitari Vall d’Hebron (Barcelona, Spain). The study was carried out according to the International Conference on Harmonization Guidelines for Good Clinical Practice and the Declaration of Helsinki.

Informed consent

Every patient provided written informed consent before entering the study.

Conflicts of interest

LMV, LCF, SSM, JCA-C, JR and XM received payment for lecturing or travel expenses or research Grants or consultancy from Merck-Serono, Biogen, Sanofi-Genzyme, Roche, Bayer and Novartis. The remaining authors declare no conflicts of interest.

Additional information

José C. Álvarez-Cermeño and Luisa M. Villar were principal co-investigators.

A correction to this article is available online at https://doi.org/10.1007/s00415-017-8679-5.

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Alenda, R., Costa-Frossard, L., Alvarez-Lafuente, R. et al. Blood lymphocyte subsets identify optimal responders to IFN-beta in MS. J Neurol 265, 24–31 (2018). https://doi.org/10.1007/s00415-017-8625-6

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  • DOI: https://doi.org/10.1007/s00415-017-8625-6

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