Previous disease-modifying treatments influence T lymphocyte kinetics in people with multiple sclerosis switching to ocrelizumab.


Journal

Journal of neuroimmunology
ISSN: 1872-8421
Titre abrégé: J Neuroimmunol
Pays: Netherlands
ID NLM: 8109498

Informations de publication

Date de publication:
15 05 2023
Historique:
received: 03 02 2023
revised: 06 03 2023
accepted: 21 03 2023
medline: 8 5 2023
pubmed: 31 3 2023
entrez: 30 3 2023
Statut: ppublish

Résumé

Recently, concern has been raised about the influence of the previous disease-modifying treatments (DMTs) on the clinical efficacy of ocrelizumab (OCR). We aimed to evaluate whether the previous DMT affects the lymphocyte subset kinetics in people with Multiple Sclerosis (MS) switching to OCR. This is a multicenter, retrospective, real-world study on consecutive MS patients who started or switched to OCR. We grouped them by prior DMT in: (i) naïve-to-treatment (NTT), (ii) switching from fingolimod (SF) and (iii) switching from natalizumab (SN). Differences in absolute lymphocyte count and lymphocyte subset count changes, considering the period from baseline to 6 months, over all the three groups were assessed with an inverse-probability-weighted regression adjustment model. Mean T CD4+ cell count reduction from baseline to the six-month follow-up was more pronounced in the SN group compared to the NTT (p = 0,026). Further, patients in the SF group experienced a less pronounced CD4 T cell number decrease than both NTT and SN groups (p = 0,04 and p < 0,001, respectively). Patients in the SF group experienced an increase in CD8 T cell absolute number, whereas those in the NTT and SN groups experienced a significant decrease (p = 0,015 and p < 0,001, respectively). Patients experiencing early inflammatory activity showed a lower CD8+ cell count at baseline than stable patients (p = 0,02). Previous DMTs influence the lymphocyte kinetics in people with MS switching to OCR. Reassessment of these findings over a larger population may help optimize the switch.

Sections du résumé

BACKGROUND
Recently, concern has been raised about the influence of the previous disease-modifying treatments (DMTs) on the clinical efficacy of ocrelizumab (OCR). We aimed to evaluate whether the previous DMT affects the lymphocyte subset kinetics in people with Multiple Sclerosis (MS) switching to OCR.
METHODS
This is a multicenter, retrospective, real-world study on consecutive MS patients who started or switched to OCR. We grouped them by prior DMT in: (i) naïve-to-treatment (NTT), (ii) switching from fingolimod (SF) and (iii) switching from natalizumab (SN). Differences in absolute lymphocyte count and lymphocyte subset count changes, considering the period from baseline to 6 months, over all the three groups were assessed with an inverse-probability-weighted regression adjustment model.
RESULTS
Mean T CD4+ cell count reduction from baseline to the six-month follow-up was more pronounced in the SN group compared to the NTT (p = 0,026). Further, patients in the SF group experienced a less pronounced CD4 T cell number decrease than both NTT and SN groups (p = 0,04 and p < 0,001, respectively). Patients in the SF group experienced an increase in CD8 T cell absolute number, whereas those in the NTT and SN groups experienced a significant decrease (p = 0,015 and p < 0,001, respectively). Patients experiencing early inflammatory activity showed a lower CD8+ cell count at baseline than stable patients (p = 0,02).
CONCLUSIONS
Previous DMTs influence the lymphocyte kinetics in people with MS switching to OCR. Reassessment of these findings over a larger population may help optimize the switch.

Identifiants

pubmed: 36996621
pii: S0165-5728(23)00058-9
doi: 10.1016/j.jneuroim.2023.578072
pii:
doi:

Substances chimiques

Immunosuppressive Agents 0
ocrelizumab A10SJL62JY
Fingolimod Hydrochloride G926EC510T
Natalizumab 0

Types de publication

Multicenter Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

578072

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Auteurs

Gianmarco Abbadessa (G)

Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples 80131, Italy. Electronic address: gianmarco.abbadessa@unicampania.it.

Giuseppina Miele (G)

Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples 80131, Italy.

Paola Cavalla (P)

Department of Neuroscience and Mental Health, City of Health and Science University Hospital of Turin, Turin 10147, Italy.

Paola Valentino (P)

Institute of Neurology, University "Magna Graecia", Catanzaro 88100, Italy.

Girolama Alessandra Marfia (GA)

Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome 00133, Italy.

Marco Vercellino (M)

Department of Neuroscience and Mental Health, City of Health and Science University Hospital of Turin, Turin 10147, Italy.

Antonio De Martino (A)

Institute of Neurology, University "Magna Graecia", Catanzaro 88100, Italy.

Vittorio Simeon (V)

Section of Medical Statistics, Department of Mental Health and Public Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy.

Luigi Lavorgna (L)

Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples 80131, Italy.

Simona Bonavita (S)

Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples 80131, Italy.

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Classifications MeSH