SAP-expressing T peripheral helper cells identify systemic lupus erythematosus patients with lupus nephritis.

SAP SLAM T follicular helper cells T peripheral helper cells lupus nephritis systemic lupus

Journal

Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960

Informations de publication

Date de publication:
2024
Historique:
received: 24 10 2023
accepted: 21 02 2024
medline: 29 3 2024
pubmed: 29 3 2024
entrez: 29 3 2024
Statut: epublish

Résumé

T follicular (TFH) and peripheral helper (TPH) cells have been increasingly recognized as a pathogenic subset of CD4 T cells in systemic lupus erythematosus (SLE). The SLAM Associated Protein (SAP) regulates TFH and TPH function by binding to the co-stimulatory signaling lymphocyte activation molecule family (SLAMF) receptors that mediate T cell - B cell interactions. SAP and SLAMF are critical for TPH-dependent B cell maturation into autoantibody-producing plasma cells that characterize SLE pathogenesis. We hypothesized that SAP-expressing TPH cells are involved in the pathogenesis of lupus nephritis (LN). Peripheral blood mononuclear cells (PBMC) were isolated using density gradient separation from whole blood. Cells were stained for cell surface markers, followed by permeabilization and staining of intracellular SAP for spectral flow cytometry analysis. We also analyzed SAP expression from renal infiltrating LN T cells using the available single-cell RNA sequencing (scRNA seq) Accelerated Medicines Partnership (AMP) SLE dataset. PBMC from 30 patients with SLE (34 ± 10 years old, 83% female), including 10 patients with LN, were analyzed. We found an increase in total SAP-positive CD4 and CD8 T cells in SLE compared with controls (55.5 ± 2.6 vs. 41.3 ± 3.4, p=0.007, and 52.5 ± 3.0 vs. 39.2 ± 2.8, p=0.007 respectively). In CD4 T cells, the highest SAP expression was in the TPH subset. The frequency of SAP The expansion of SAP-expressing T helper cells was associated with LN in our cohort and verified using scRNA-seq data of renal infiltrating T cells. Improved SLAM and SAP signaling understanding can identify new therapeutic targets in LN.

Identifiants

pubmed: 38550577
doi: 10.3389/fimmu.2024.1327437
pmc: PMC10972949
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1327437

Informations de copyright

Copyright © 2024 Gartshteyn, Geraldino-Pardilla, Khalili, Bukhari, Lerrer, Winchester, Askanase and Mor.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Yevgeniya Gartshteyn (Y)

Division of Rheumatology, Department of Medicine, Columbia University Medical Center, New York, NY, United States.

Laura Geraldino-Pardilla (L)

Division of Rheumatology, Department of Medicine, Columbia University Medical Center, New York, NY, United States.

Leila Khalili (L)

Division of Rheumatology, Department of Medicine, Columbia University Medical Center, New York, NY, United States.

Shoiab Bukhari (S)

Columbia Center for Translational Immunology, Columbia University Medical Center, New York, NY, United States.

Shalom Lerrer (S)

Columbia Center for Translational Immunology, Columbia University Medical Center, New York, NY, United States.

Robert J Winchester (RJ)

Division of Rheumatology, Department of Medicine, Columbia University Medical Center, New York, NY, United States.

Anca D Askanase (AD)

Division of Rheumatology, Department of Medicine, Columbia University Medical Center, New York, NY, United States.

Adam Mor (A)

Division of Rheumatology, Department of Medicine, Columbia University Medical Center, New York, NY, United States.
Columbia Center for Translational Immunology, Columbia University Medical Center, New York, NY, United States.

Classifications MeSH