B-cell repopulation dynamics and drug pharmacokinetics impact SARS-CoV-2 vaccine efficacy in anti-CD20-treated multiple sclerosis patients.


Journal

European journal of neurology
ISSN: 1468-1331
Titre abrégé: Eur J Neurol
Pays: England
ID NLM: 9506311

Informations de publication

Date de publication:
Nov 2022
Historique:
revised: 21 06 2022
received: 28 02 2022
accepted: 04 07 2022
pubmed: 10 7 2022
medline: 12 10 2022
entrez: 9 7 2022
Statut: ppublish

Résumé

Recent findings document a blunted humoral response to SARS-CoV-2 vaccination in patients on anti-CD20 treatment. Although most patients develop a cellular response, it is still important to identify predictors of seroconversion to optimize vaccine responses. We determined antibody responses after SARS-CoV-2 vaccination in a real-world cohort of multiple sclerosis patients (n = 94) treated with anti-CD20, mainly rituximab, with variable treatment duration (median = 2.9, range = 0.4-9.6 years) and time from last anti-CD20 infusion to vaccination (median = 190, range = 60-1032 days). We find that presence of B cells and/or rituximab in blood predict seroconversion better than time since last infusion. Using multiple logistic regression, presence of >0.5% B cells increased probability of seroconversion with an odds ratio (OR) of 5.0 (95% confidence interval [CI] = 1.0-28.1, p = 0.055), whereas the corresponding OR for ≥6 months since last infusion was 1.45 (95% CI = 0.20-10.15, p = 0.705). In contrast, detectable rituximab levels were negatively associated with seroconversion (OR = 0.05, 95% CI = 0.002-0.392, p = 0.012). Furthermore, naïve and memory IgG These findings are relevant for providing individualized guidance to patients and planning of vaccination schemes, in turn optimizing benefit-risk with anti-CD20.

Sections du résumé

BACKGROUND AND PURPOSE
Recent findings document a blunted humoral response to SARS-CoV-2 vaccination in patients on anti-CD20 treatment. Although most patients develop a cellular response, it is still important to identify predictors of seroconversion to optimize vaccine responses.
METHODS
We determined antibody responses after SARS-CoV-2 vaccination in a real-world cohort of multiple sclerosis patients (n = 94) treated with anti-CD20, mainly rituximab, with variable treatment duration (median = 2.9, range = 0.4-9.6 years) and time from last anti-CD20 infusion to vaccination (median = 190, range = 60-1032 days).
RESULTS
We find that presence of B cells and/or rituximab in blood predict seroconversion better than time since last infusion. Using multiple logistic regression, presence of >0.5% B cells increased probability of seroconversion with an odds ratio (OR) of 5.0 (95% confidence interval [CI] = 1.0-28.1, p = 0.055), whereas the corresponding OR for ≥6 months since last infusion was 1.45 (95% CI = 0.20-10.15, p = 0.705). In contrast, detectable rituximab levels were negatively associated with seroconversion (OR = 0.05, 95% CI = 0.002-0.392, p = 0.012). Furthermore, naïve and memory IgG
CONCLUSIONS
These findings are relevant for providing individualized guidance to patients and planning of vaccination schemes, in turn optimizing benefit-risk with anti-CD20.

Identifiants

pubmed: 35808856
doi: 10.1111/ene.15492
pmc: PMC9349816
doi:

Substances chimiques

Antibodies, Viral 0
COVID-19 Vaccines 0
Immunoglobulin G 0
Interleukin-13 0
Rituximab 4F4X42SYQ6
Interferon-gamma 82115-62-6

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3317-3328

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2022 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.

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Auteurs

Klara Asplund Högelin (K)

Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.

Nicolas Ruffin (N)

Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.

Elisa Pin (E)

SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.

Sophia Hober (S)

SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.

Peter Nilsson (P)

SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.

Chiara Starvaggi Cucuzza (C)

Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.

Mohsen Khademi (M)

Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.

Tomas Olsson (T)

Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.

Fredrik Piehl (F)

Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.

Faiez Al Nimer (F)

Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.

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Classifications MeSH