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B cells shape naive CD8+ T cell programming
Cameron Manes, … , Ross M. Kedl, Jared Klarquist
Cameron Manes, … , Ross M. Kedl, Jared Klarquist
Published April 17, 2025
Citation Information: J Clin Invest. 2025;135(12):e190106. https://doi.org/10.1172/JCI190106.
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Research Article Autoimmunity Immunology

B cells shape naive CD8+ T cell programming

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Abstract

The presence of B cells is essential for the formation of CD8+ T cell memory after infection and vaccination. In this study, we investigated whether B cells influence the programming of naive CD8+ T cells prior to their involvement in an immune response. RNA sequencing indicated that B cells are necessary for sustaining the FOXO1-controlled transcriptional program, which is critical for homeostasis of these T cells. Without an appropriate B cell repertoire, mouse naive CD8+ T cells exhibit a terminal, effector-skewed phenotype, which significantly impacts their response to vaccination. A similar effector-skewed phenotype with reduced FOXO1 expression was observed in naive CD8+ T cells from human patients undergoing B cell–depleting therapies. Furthermore, we show that patients without B cells have a defect in generating long-lived CD8+ T cell memory following COVID vaccination. In summary, we demonstrate that B cells promote the quiescence of naive CD8+ T cells, poising them to become memory cells upon vaccination.

Authors

Cameron Manes, Miguel Guerrero Moreno, Jennifer Cimons, Marc A. D’Antonio, Tonya M. Brunetti, Michael G. Harbell, Sean Selva, Christopher Mizenko, Tyler L. Borko, Erika L. Lasda, Jay R. Hesselberth, Elena W.Y. Hsieh, Michael R. Verneris, Amanda L. Piquet, Laurent Gapin, Ross M. Kedl, Jared Klarquist

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Figure 2

B cells shape naive CD8+ T cell programming, promoting FOXO1-mediated homeostasis in mice and humans.

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B cells shape naive CD8+ T cell programming, promoting FOXO1-mediated ho...
(A–D) Bulk RNA sequencing on naive CD8+ T cells (sorted on live CD8+CD19−B220−CD44lo) from 5 WT and 5 MD4 mice. (A) The top 10 most significant gene sets identified by GSEA using the Broad Institute’s Molecular Signatures Database (MSigDB) immunologic signature gene sets (C7) ordered by adjusted P value. (B) ChEA analysis of the 1,027 differentially expressed genes by DESeq2 ranked by combined score. (C) Heatmap of the 242 genes identified by ChEA as being associated with FOXO1 transcriptional activity. (D) Volcano plot where genes known to be differentially expressed in Foxo1-deficient cells (31, 33) are highlighted in black (higher in WT) or maroon (higher in MD4). (E) Flow cytometry staining of CD8+ T cells from WT, μMT−/−, and MD4 mice. Representative histograms are shown for CD44lo naive cells (top) and for CD44hi memory and virtual memory cells (middle). A graph plotting the individual gMFI from 5 mice per group for CD44lo naive cells is shown at bottom. Data shown are means ± SEM, representative of more than 2 experiments. (F) Representative FOXO1 staining in naive CD8+ T cells from healthy control versus CAR T cell–treated patients (top) and patients with MS on anti–α4 integrin versus anti-CD20 therapy (bottom). (G) Summarized results showing the gMFI values (1 × 103, 103, 103, 102, 103, and 102, respectively) for FOXO1, CD127, IRF4, GZMA, CD49d, and NKG2A protein staining for all 4 groups; n = 19, 8, 20, and 19, respectively; **P < 0.01, ***P < 0.001.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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