Cerebrospinal fluid inflammatory biomarkers predicting interferon-beta response in MS patients.

NEDA-3 cerebrospinal fluid (CSF) clinically isolated syndrome (CIS) interferon beta (IFNb) macrophage inflammatory protein (MIP)-1α platelet-derived growth factor (PDGF) relapsing-remitting (RR)-MS

Journal

Therapeutic advances in neurological disorders
ISSN: 1756-2856
Titre abrégé: Ther Adv Neurol Disord
Pays: England
ID NLM: 101480242

Informations de publication

Date de publication:
2020
Historique:
received: 08 04 2020
accepted: 11 09 2020
entrez: 21 12 2020
pubmed: 22 12 2020
medline: 22 12 2020
Statut: epublish

Résumé

Interferon beta (IFNb) is a safe first-line drug commonly used for relapsing-remitting (RR)-MS. Nevertheless, a considerable proportion of patients do not respond to IFNb treatment. Therefore, until now, a number of studies have investigated various markers that could predict the patients who would respond to IFNb therapy. The objective of this study was to identify reliable biomarkers to predict the efficacy of IFNb treatment in MS. In a group of 116 patients with clinically isolated syndrome (CIS) and RR-MS, we explored the association between CSF detectability of a large set of proinflammatory and anti-inflammatory molecules at the time of diagnosis and response to IFNb after the first year of treatment. The absence of clinical relapses, radiological activity and disability progression (NEDA-3) was assessed at the end of 1-year follow up. The results were compared with those obtained in additional groups of CIS and RR-MS patients treated with other first-line drugs (dimethyl fumarate and glatiramer acetate). CSF undetectability of macrophage inflammatory protein (MIP)-1α was the main predictor of reaching NEDA-3 status after 1 year of IFNb treatment. Moreover, detectable platelet-derived growth factor (PDGF) was associated with higher probability of reaching NEDA-3. Conversely, no associations with the CSF molecules were found in the two other groups of patients treated either with dimethyl fumarate or with glatiramer acetate. MIP-1α and PDGF could potentially represent suitable CSF biomarkers able to predict response to IFNb in MS.

Sections du résumé

BACKGROUND AND AIMS OBJECTIVE
Interferon beta (IFNb) is a safe first-line drug commonly used for relapsing-remitting (RR)-MS. Nevertheless, a considerable proportion of patients do not respond to IFNb treatment. Therefore, until now, a number of studies have investigated various markers that could predict the patients who would respond to IFNb therapy. The objective of this study was to identify reliable biomarkers to predict the efficacy of IFNb treatment in MS.
METHODS METHODS
In a group of 116 patients with clinically isolated syndrome (CIS) and RR-MS, we explored the association between CSF detectability of a large set of proinflammatory and anti-inflammatory molecules at the time of diagnosis and response to IFNb after the first year of treatment. The absence of clinical relapses, radiological activity and disability progression (NEDA-3) was assessed at the end of 1-year follow up. The results were compared with those obtained in additional groups of CIS and RR-MS patients treated with other first-line drugs (dimethyl fumarate and glatiramer acetate).
RESULTS RESULTS
CSF undetectability of macrophage inflammatory protein (MIP)-1α was the main predictor of reaching NEDA-3 status after 1 year of IFNb treatment. Moreover, detectable platelet-derived growth factor (PDGF) was associated with higher probability of reaching NEDA-3. Conversely, no associations with the CSF molecules were found in the two other groups of patients treated either with dimethyl fumarate or with glatiramer acetate.
CONCLUSION CONCLUSIONS
MIP-1α and PDGF could potentially represent suitable CSF biomarkers able to predict response to IFNb in MS.

Identifiants

pubmed: 33343708
doi: 10.1177/1756286420970833
pii: 10.1177_1756286420970833
pmc: PMC7727083
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1756286420970833

Informations de copyright

© The Author(s), 2020.

Déclaration de conflit d'intérêts

Conflict of interest statement: The authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: F.S. acted as Advisory Board members of Novartis, Biogen and Merck Serono. R.Fu. has received honoraria as speaker or for research support from Biogen, Novartis, Merck, Roche, Genzyme. G.A.M. received honoraria for speaking, consultation fees and travel funding from Roche, Almirall, Bayer Schering, Biogen Idec, Merck Serono, Novartis, Sanofi-Genzyme, Mylan and Teva. She is the principal investigator in clinical trials for Actelion, Biogen Idec, Merck Serono, Mitsubishi, Novartis, Roche, Sanofi-Genzyme, Teva. D.C. is an Advisory Board member of Almirall, Bayer Schering, Biogen, GW Pharmaceuticals, Merck Serono, Novartis, Roche, Sanofi-Genzyme, and Teva and received honoraria for speaking or consultation fees from Almirall, Bayer Schering, Biogen, GW Pharmaceuticals, Merck Serono, Novartis, Roche, Sanofi-Genzyme, and Teva. He is also the principal investigator in clinical trials for Bayer Schering, Biogen, Merck Serono, Mitsubishi, Novartis, Roche, Sanofi-Genzyme, and Teva. His preclinical and clinical research was supported by grants from Bayer Schering, Biogen Idec, Celgene, Merck Serono, Novartis, Roche, Sanofi-Genzyme and Teva. F.B. acted as Advisory Board members of Teva and Roche and received honoraria for speaking or consultation fees from Merck Serono, Teva, Biogen Idec, Sanofi, and Novartis and non-financial support from Merck Serono, Teva, Biogen Idec, and Sanofi. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. M.S.B., E.I., J.D., T.P., L.G., A.F., A.G., A.M., G.M., R.Fa., P.B. declare no conflict of interest.

Références

Neurology. 2010 Jan 5;74 Suppl 1:S17-24
pubmed: 20038758
Lancet Neurol. 2009 Mar;8(3):254-60
pubmed: 19201654
Lancet. 2018 Apr 21;391(10130):1622-1636
pubmed: 29576504
Lancet Neurol. 2018 Feb;17(2):162-173
pubmed: 29275977
Neurology. 1983 Nov;33(11):1444-52
pubmed: 6685237
PLoS One. 2008 Apr 02;3(4):e1927
pubmed: 18382694
Ann Neurol. 2010 Dec;68(6):899-906
pubmed: 21061396
J Neuroimmunol. 2003 Sep;142(1-2):75-85
pubmed: 14512166
J Neurosci. 2001 May 15;21(10):3483-91
pubmed: 11331377
Ann Neurol. 2002 Oct;52(4):400-6
pubmed: 12325067
Int J Biochem Cell Biol. 2004 Oct;36(10):1882-6
pubmed: 15203102
J Neuroinflammation. 2018 Apr 14;15(1):108
pubmed: 29655371
PLoS One. 2013 Oct 16;8(10):e77508
pubmed: 24147013
J Neuroimmunol. 1998 Apr 15;84(2):238-49
pubmed: 9628469
Neuromolecular Med. 2014 Jun;16(2):490-8
pubmed: 24671722
Mult Scler. 2006 Jun;12(3):281-6
pubmed: 16764340
Brain. 2009 Dec;132(Pt 12):3353-65
pubmed: 19741051
J Neurol. 2018 Nov;265(11):2540-2547
pubmed: 30167879
Am J Pathol. 1997 Feb;150(2):617-30
pubmed: 9033275
J Immunol. 2000 Jun 15;164(12):6303-12
pubmed: 10843684
J Neuroinflammation. 2014 Feb 18;11:32
pubmed: 24548694
J Neuroimmunol. 2008 May 30;196(1-2):67-81
pubmed: 18471898
Eur J Immunol. 1995 Mar;25(3):751-6
pubmed: 7535702
Brain. 2000 Sep;123 ( Pt 9):1874-82
pubmed: 10960051
Eur J Neurol. 2005 Jan;12(1):49-54
pubmed: 15613147
J Neuroimmunol. 2007 Apr;185(1-2):168-74
pubmed: 17328965
Ann Neurol. 1996 Oct;40(4):618-27
pubmed: 8871582
Mol Immunol. 2015 Mar;64(1):152-62
pubmed: 25433436
Acta Neurol Scand. 2014 Oct;130(4):268-75
pubmed: 24943672
Neurology. 1999 Nov 10;53(8):1692-7
pubmed: 10563614
J Biol Chem. 2010 Jul 9;285(28):21615-24
pubmed: 20452974
Neurol Sci. 2019 Aug;40(8):1627-1636
pubmed: 31011930
Lancet. 1998 Nov 7;352(9139):1498-504
pubmed: 9820297
J Immunol. 1995 Nov 15;155(10):5003-10
pubmed: 7594507
Mol Cell Neurosci. 2004 Feb;25(2):252-62
pubmed: 15019942
Proc Natl Acad Sci U S A. 1999 Jun 8;96(12):6873-8
pubmed: 10359806

Auteurs

Mario Stampanoni Bassi (M)

Unit of Neurology and Neurorehabilitation, IRCCS Neuromed, Pozzilli (IS), Italy.

Jelena Drulovic (J)

Clinic of Neurology, Clinical Center of Serbia, Belgrade, Serbia.

Tatjana Pekmezovic (T)

Institute of Epidemiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.

Ennio Iezzi (E)

Unit of Neurology and Neurorehabilitation, IRCCS Neuromed, Pozzilli (IS), Italy.

Francesco Sica (F)

Unit of Neurology and Neurorehabilitation, IRCCS Neuromed, Pozzilli (IS), Italy.

Luana Gilio (L)

Unit of Neurology and Neurorehabilitation, IRCCS Neuromed, Pozzilli (IS), Italy.

Antonietta Gentile (A)

Synaptic Immunopathology Lab, IRCCS San Raffaele Pisana, Rome, Italy.

Alessandra Musella (A)

Synaptic Immunopathology Lab, IRCCS San Raffaele Pisana, Rome, Italy.

Georgia Mandolesi (G)

Synaptic Immunopathology Lab, IRCCS San Raffaele Pisana, Rome, Italy.

Roberto Furlan (R)

Clinical Neuroimmunology Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy.

Annamaria Finardi (A)

Clinical Neuroimmunology Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy.

Girolama Alessandra Marfia (GA)

Unit of Neurology and Neurorehabilitation, IRCCS Neuromed, Pozzilli (IS), Italy.

Paolo Bellantonio (P)

Unit of Neurology and Neurorehabilitation, IRCCS Neuromed, Pozzilli (IS), Italy.

Roberta Fantozzi (R)

Unit of Neurology and Neurorehabilitation, IRCCS Neuromed, Pozzilli (IS), Italy.

Diego Centonze (D)

Unit of Neurology and Neurorehabilitation, IRCCS Neuromed, Pozzilli (IS), Italy.

Fabio Buttari (F)

Unit of Neurology and Neurorehabilitation, IRCCS Neuromed, Pozzilli (IS), Italy.

Classifications MeSH