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B Cell Characteristics at Baseline Predict Vaccination Response in RTX Treated Patients
BACKGROUND: Vaccination is considered as most efficient strategy in controlling SARS-CoV-2 pandemic spread. Nevertheless, patients with autoimmune inflammatory rheumatic diseases receiving rituximab (RTX) are at increased risk to fail humoral and cellular responses upon vaccination. The ability to p...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063458/ https://www.ncbi.nlm.nih.gov/pubmed/35514962 http://dx.doi.org/10.3389/fimmu.2022.822885 |
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author | Stefanski, Ana-Luisa Rincon-Arevalo, Hector Schrezenmeier, Eva Karberg, Kirsten Szelinski, Franziska Ritter, Jacob Chen, Yidan Jahrsdörfer, Bernd Ludwig, Carolin Schrezenmeier, Hubert Lino, Andreia C. Dörner, Thomas |
author_facet | Stefanski, Ana-Luisa Rincon-Arevalo, Hector Schrezenmeier, Eva Karberg, Kirsten Szelinski, Franziska Ritter, Jacob Chen, Yidan Jahrsdörfer, Bernd Ludwig, Carolin Schrezenmeier, Hubert Lino, Andreia C. Dörner, Thomas |
author_sort | Stefanski, Ana-Luisa |
collection | PubMed |
description | BACKGROUND: Vaccination is considered as most efficient strategy in controlling SARS-CoV-2 pandemic spread. Nevertheless, patients with autoimmune inflammatory rheumatic diseases receiving rituximab (RTX) are at increased risk to fail humoral and cellular responses upon vaccination. The ability to predict vaccination responses is essential to guide adequate safety and optimal protection in these patients. METHODS: B- and T- cell data before vaccination were evaluated for characteristics predicting vaccine responses in altogether 15 patients with autoimmune inflammatory rheumatic diseases receiving RTX. Eleven patients with rheumatoid arthritis (RA) on other therapies, 11 kidney transplant recipients (KTR) on regular immunosuppression and 15 healthy controls (HC) served as controls. A multidimensional analysis of B cell subsets via UMAP algorithm and a correlation matrix were performed in order to identify predictive markers of response in patients under RTX therapy. RESULTS: Significant differences regarding absolute B cell counts and specific subset distribution pattern between the groups were identified at baseline. In this context, the majority of B cells from vaccination responders of the RTX group (RTX IgG+) were naïve and transitional B cells, whereas vaccination non-responders (RTX IgG-) carried preferentially plasmablasts and double negative (CD27-IgD-) B cells. Moreover, there was a positive correlation between neutralizing antibodies and B cells expressing HLA-DR and CXCR5 as well as an inverse correlation with CD95 expression and CD21low expression by B cells among vaccination responders. SUMMARY: Substantial repopulation of the naïve B cell compartment after RTX therapy appeared to be essential for an adequate vaccination response, which seem to require the additional capability of antigen presentation and germinal center formation. Moreover, expression of exhaustion markers represent negative predictors of vaccination responses. |
format | Online Article Text |
id | pubmed-9063458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90634582022-05-04 B Cell Characteristics at Baseline Predict Vaccination Response in RTX Treated Patients Stefanski, Ana-Luisa Rincon-Arevalo, Hector Schrezenmeier, Eva Karberg, Kirsten Szelinski, Franziska Ritter, Jacob Chen, Yidan Jahrsdörfer, Bernd Ludwig, Carolin Schrezenmeier, Hubert Lino, Andreia C. Dörner, Thomas Front Immunol Immunology BACKGROUND: Vaccination is considered as most efficient strategy in controlling SARS-CoV-2 pandemic spread. Nevertheless, patients with autoimmune inflammatory rheumatic diseases receiving rituximab (RTX) are at increased risk to fail humoral and cellular responses upon vaccination. The ability to predict vaccination responses is essential to guide adequate safety and optimal protection in these patients. METHODS: B- and T- cell data before vaccination were evaluated for characteristics predicting vaccine responses in altogether 15 patients with autoimmune inflammatory rheumatic diseases receiving RTX. Eleven patients with rheumatoid arthritis (RA) on other therapies, 11 kidney transplant recipients (KTR) on regular immunosuppression and 15 healthy controls (HC) served as controls. A multidimensional analysis of B cell subsets via UMAP algorithm and a correlation matrix were performed in order to identify predictive markers of response in patients under RTX therapy. RESULTS: Significant differences regarding absolute B cell counts and specific subset distribution pattern between the groups were identified at baseline. In this context, the majority of B cells from vaccination responders of the RTX group (RTX IgG+) were naïve and transitional B cells, whereas vaccination non-responders (RTX IgG-) carried preferentially plasmablasts and double negative (CD27-IgD-) B cells. Moreover, there was a positive correlation between neutralizing antibodies and B cells expressing HLA-DR and CXCR5 as well as an inverse correlation with CD95 expression and CD21low expression by B cells among vaccination responders. SUMMARY: Substantial repopulation of the naïve B cell compartment after RTX therapy appeared to be essential for an adequate vaccination response, which seem to require the additional capability of antigen presentation and germinal center formation. Moreover, expression of exhaustion markers represent negative predictors of vaccination responses. Frontiers Media S.A. 2022-04-19 /pmc/articles/PMC9063458/ /pubmed/35514962 http://dx.doi.org/10.3389/fimmu.2022.822885 Text en Copyright © 2022 Stefanski, Rincon-Arevalo, Schrezenmeier, Karberg, Szelinski, Ritter, Chen, Jahrsdörfer, Ludwig, Schrezenmeier, Lino and Dörner https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Stefanski, Ana-Luisa Rincon-Arevalo, Hector Schrezenmeier, Eva Karberg, Kirsten Szelinski, Franziska Ritter, Jacob Chen, Yidan Jahrsdörfer, Bernd Ludwig, Carolin Schrezenmeier, Hubert Lino, Andreia C. Dörner, Thomas B Cell Characteristics at Baseline Predict Vaccination Response in RTX Treated Patients |
title | B Cell Characteristics at Baseline Predict Vaccination Response in RTX Treated Patients |
title_full | B Cell Characteristics at Baseline Predict Vaccination Response in RTX Treated Patients |
title_fullStr | B Cell Characteristics at Baseline Predict Vaccination Response in RTX Treated Patients |
title_full_unstemmed | B Cell Characteristics at Baseline Predict Vaccination Response in RTX Treated Patients |
title_short | B Cell Characteristics at Baseline Predict Vaccination Response in RTX Treated Patients |
title_sort | b cell characteristics at baseline predict vaccination response in rtx treated patients |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063458/ https://www.ncbi.nlm.nih.gov/pubmed/35514962 http://dx.doi.org/10.3389/fimmu.2022.822885 |
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