Abstract
Accumulation of human CD21low B cells in peripheral blood is a hallmark of chronic activation of the adaptive immune system in certain infections and autoimmune disorders. The molecular pathways underpinning the development, function, and fate of these CD21low B cells remain incompletely characterized. Here, combined transcriptomic and chromatin accessibility analyses supported a prominent role for the transcription factor T-bet in the transcriptional regulation of these T-bethighCD21low B cells. Investigating essential signals for generating these cells in vitro established that B cell receptor (BCR)/interferon-γ receptor (IFNγR) costimulation induced the highest levels of T-bet expression and enabled their differentiation during cell cultures with Toll-like receptor (TLR) ligand or CD40L/interleukin-21 (IL-21) stimulation. Low proportions of CD21low B cells in peripheral blood from patients with defined inborn errors of immunity (IEI), because of mutations affecting canonical NF-κB, CD40, and IL-21 receptor or IL-12/IFNγ/IFNγ receptor/signal transducer and activator of transcription 1 (STAT1) signaling, substantiated the essential roles of BCR- and certain T cell–derived signals in the in vivo expansion of T-bethighCD21low B cells. Disturbed TLR signaling due to MyD88 or IRAK4 deficiency was not associated with reduced CD21low B cell proportions. The expansion of human T-bethighCD21low B cells correlated with an expansion of circulating T follicular helper 1 (cTfh1) and T peripheral helper (Tph) cells, identifying potential sources of CD40L, IL-21, and IFNγ signals. Thus, we identified important pathways to target autoreactive T-bethighCD21low B cells in human autoimmune conditions, where these cells are linked to pathogenesis and disease progression.
Original language | English |
---|---|
Article number | eabh0891 |
Journal | Science immunology |
Volume | 6 |
Issue number | 64 |
DOIs | |
Publication status | Published - 8 Oct 2021 |
Bibliographical note
Acknowledgments:We would like to thank the Advanced Diagnostics Unit of the CCI, the AWIS cohort, and N. Langer for excellent technical support; the physicians and nurses of the CCI, the Department of Rheumatology and Clinical Immunology, and the Infektiologikum Freiburg for patient care and support; and the Lighthouse Core Facility of the University Medical Center Freiburg for cell sorting. The Galaxy server that was used for some calculations is in part funded by Collaborative Research Centre 992 Medical Epigenetics (DFG grant SFB 992/1 2012) and German Federal Ministry of Education and Research [BMBF grants 031 A538A/ A538C RBC, 031L0101B/031L0101C de.NBI-epi, 031L0106 de.STAIR (de.NBI)]. Samples for this project were obtained from the CCI-Biobank and the Immunologisch-Rheumatologische (IR) Biobank, both are partner biobanks of the University Medical Center Freiburg and Medical Faculty “Center for Biobanking–FREEZE”. This work was supported by grants from the German Research Foundation TRR130 TP07 and WA 1597/4-2 and from the German Federal Ministry of Education and Research BMBF 01EO1303 and BMBF “Netzwerke Seltener Erkrankungen,” GAIN_01GM1910A to K.W. S.G.T. was supported by Investigator and Program grants awarded by the National Health and Medical Research Council of Australia. R.E.V. received funding from the German Research Foundation TRR130 TP12. M.B. was supported by the German Research Foundation SFB1160/2 Z02. C.S.M. was supported by the Early-Mid Career Research Fellowship from the New South Wales Government. K.G. received funding from the NIHR BRC at Great Ormond Street Hospital. H.B. was supported by the Boehringer Ingelheim Stiftung Exploration Grant. B.G. received funding from the BMBF Netzwerke Seltener Erkrankungen, GAIN_01GM1910A and the German Research Foundation RESIST–EXC 2155–project ID 390874280, SFB1160/2_B5, GR1617/14-1/iPAD, and CIBSS–EXC-2189–project ID 390939984.
Publisher Copyright: Copyright © 2021 The Authors,