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Mass Cytometry of CSF Identifies an MS-Associated B-cell Population

OBJECTIVE: To identify an MS-specific immune cell population by deep immune phenotyping and relate it to soluble signaling molecules in CSF. METHODS: We analyzed surface expression of 22 markers in paired blood/CSF samples from 39 patients using mass cytometry (cytometry by time of flight). We also...

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Autores principales: Johansson, David, Rauld, Céline, Roux, Julien, Regairaz, Camille, Galli, Edoardo, Callegari, Ilaria, Raad, Layla, Waldt, Annick, Cuttat, Rachel, Roma, Guglielmo, Diebold, Martin, Becher, Burkhard, Kuhle, Jens, Derfuss, Tobias, Carballido, José M., Sanderson, Nicholas S.R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057060/
https://www.ncbi.nlm.nih.gov/pubmed/33589541
http://dx.doi.org/10.1212/NXI.0000000000000943
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author Johansson, David
Rauld, Céline
Roux, Julien
Regairaz, Camille
Galli, Edoardo
Callegari, Ilaria
Raad, Layla
Waldt, Annick
Cuttat, Rachel
Roma, Guglielmo
Diebold, Martin
Becher, Burkhard
Kuhle, Jens
Derfuss, Tobias
Carballido, José M.
Sanderson, Nicholas S.R.
author_facet Johansson, David
Rauld, Céline
Roux, Julien
Regairaz, Camille
Galli, Edoardo
Callegari, Ilaria
Raad, Layla
Waldt, Annick
Cuttat, Rachel
Roma, Guglielmo
Diebold, Martin
Becher, Burkhard
Kuhle, Jens
Derfuss, Tobias
Carballido, José M.
Sanderson, Nicholas S.R.
author_sort Johansson, David
collection PubMed
description OBJECTIVE: To identify an MS-specific immune cell population by deep immune phenotyping and relate it to soluble signaling molecules in CSF. METHODS: We analyzed surface expression of 22 markers in paired blood/CSF samples from 39 patients using mass cytometry (cytometry by time of flight). We also measured the concentrations of 296 signaling molecules in CSF using proximity extension assay. Results were analyzed using highly automated unsupervised algorithmic informatics. RESULTS: Mass cytometry objectively identified a B-cell population characterized by the expression of CD49d, CD69, CD27, CXCR3, and human leukocyte antigen (HLA)-DR as clearly associated with MS. Concentrations of the B cell–related factors, notably FCRL2, were increased in MS CSF, especially in early stages of the disease. The B-cell trophic factor B cell activating factor (BAFF) was decreased in MS. Proteins involved in neural plasticity were also reduced in MS. CONCLUSION: When analyzed without a priori assumptions, both the soluble and the cellular compartments of the CSF in MS were characterized by markers related to B cells, and the strongest candidate for an MS-specific cell type has a B-cell phenotype.
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spelling pubmed-80570602021-05-18 Mass Cytometry of CSF Identifies an MS-Associated B-cell Population Johansson, David Rauld, Céline Roux, Julien Regairaz, Camille Galli, Edoardo Callegari, Ilaria Raad, Layla Waldt, Annick Cuttat, Rachel Roma, Guglielmo Diebold, Martin Becher, Burkhard Kuhle, Jens Derfuss, Tobias Carballido, José M. Sanderson, Nicholas S.R. Neurol Neuroimmunol Neuroinflamm Article OBJECTIVE: To identify an MS-specific immune cell population by deep immune phenotyping and relate it to soluble signaling molecules in CSF. METHODS: We analyzed surface expression of 22 markers in paired blood/CSF samples from 39 patients using mass cytometry (cytometry by time of flight). We also measured the concentrations of 296 signaling molecules in CSF using proximity extension assay. Results were analyzed using highly automated unsupervised algorithmic informatics. RESULTS: Mass cytometry objectively identified a B-cell population characterized by the expression of CD49d, CD69, CD27, CXCR3, and human leukocyte antigen (HLA)-DR as clearly associated with MS. Concentrations of the B cell–related factors, notably FCRL2, were increased in MS CSF, especially in early stages of the disease. The B-cell trophic factor B cell activating factor (BAFF) was decreased in MS. Proteins involved in neural plasticity were also reduced in MS. CONCLUSION: When analyzed without a priori assumptions, both the soluble and the cellular compartments of the CSF in MS were characterized by markers related to B cells, and the strongest candidate for an MS-specific cell type has a B-cell phenotype. Lippincott Williams & Wilkins 2021-02-15 /pmc/articles/PMC8057060/ /pubmed/33589541 http://dx.doi.org/10.1212/NXI.0000000000000943 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Article
Johansson, David
Rauld, Céline
Roux, Julien
Regairaz, Camille
Galli, Edoardo
Callegari, Ilaria
Raad, Layla
Waldt, Annick
Cuttat, Rachel
Roma, Guglielmo
Diebold, Martin
Becher, Burkhard
Kuhle, Jens
Derfuss, Tobias
Carballido, José M.
Sanderson, Nicholas S.R.
Mass Cytometry of CSF Identifies an MS-Associated B-cell Population
title Mass Cytometry of CSF Identifies an MS-Associated B-cell Population
title_full Mass Cytometry of CSF Identifies an MS-Associated B-cell Population
title_fullStr Mass Cytometry of CSF Identifies an MS-Associated B-cell Population
title_full_unstemmed Mass Cytometry of CSF Identifies an MS-Associated B-cell Population
title_short Mass Cytometry of CSF Identifies an MS-Associated B-cell Population
title_sort mass cytometry of csf identifies an ms-associated b-cell population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057060/
https://www.ncbi.nlm.nih.gov/pubmed/33589541
http://dx.doi.org/10.1212/NXI.0000000000000943
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