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Transcriptomic profiling after B cell depletion reveals central and peripheral immune cell changes in multiple sclerosis
Jessica Wei, … , Pierre-Paul Axisa, David A. Hafler
Jessica Wei, … , Pierre-Paul Axisa, David A. Hafler
Published March 11, 2025
Citation Information: J Clin Invest. 2025;135(11):e182790. https://doi.org/10.1172/JCI182790.
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Research Article Autoimmunity Immunology

Transcriptomic profiling after B cell depletion reveals central and peripheral immune cell changes in multiple sclerosis

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Abstract

Multiple sclerosis (MS) is a complex, genetically mediated autoimmune disease of the CNS, in which anti-CD20–mediated B cell depletion is remarkably effective in the treatment of early disease. Although previous studies investigated the effect of B cell depletion on select immune cell subsets using flow cytometry–based methods, the therapeutic effect on the patient’s immune landscape is unknown. In this study, we explored how B cell–depleting therapies modulate the immune landscape using single-cell RNA-Seq. We demonstrate that B cell depletion led to cell-type–specific changes in the abundance and function of cerebrospinal fluid (CSF) macrophages and peripheral blood monocytes. Specifically, a CSF-specific macrophage population with an antiinflammatory transcriptomic signature and peripheral CD16+ monocytes increased in frequency after B cell depletion. This was accompanied by increases in TNF-α mRNA and protein levels in monocytes following B cell depletion, consistent with the finding that anti–TNF-α treatment exacerbated autoimmune activity in MS. In parallel, B cell depletion induced changes in peripheral CD4+ T cell populations, including increases in the frequency of TIGIT+ Tregs and marked decreases in the frequency of myelin peptide–loaded, tetramer-binding CD4+ T cells. Collectively, this study provides an exhaustive transcriptomic map of immunological changes, revealing different cell-type–specific reprogramming as a result of B cell depletion treatment of MS.

Authors

Jessica Wei, Jeonghyeon Moon, Yoshiaki Yasumizu, Le Zhang, Khadir Radassi, Nicholas Buitrago-Pocasangre, M. Elizabeth Deerhake, Nicolas Strauli, Chun-Wei Chen, Ann Herman, Rosetta Pedotti, Catarina Raposo, Isaiah Yim, Jenna Pappalardo, Erin E. Longbrake, Tomokazu S. Sumida, Pierre-Paul Axisa, David A. Hafler

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Figure 4

Post-treatment DEGs in CD16+ monocytes.

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Post-treatment DEGs in CD16+ monocytes.
(A) Mean abundance plot of gene ...
(A) Mean abundance plot of gene expression changes. DEGs are highlighted in red (upregulated after treatment), or blue (downregulated after treatment). (B) Flow cytometric analysis of HLA-DR and CD81 expression in CD16+ monocytes (n = 16). (C) GSEA using the Hallmark gene sets for CD16+ monocytes. (D) Custom GSEA analysis of post-treatment PBMC monocyte signature gene sets (up- and downregulated genes) tested on the CSF macrophage Mac 1 dataset (from Figure 1). P values were calculated using the Wald test of regression coefficients.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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