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Systemic lupus erythematosus (SLE) is prototypical autoimmune disease driven by pathological T cell-B cell interactions. Expansion of T follicular helper (T) and T peripheral helper (T) cells, two T cell populations that provide help to B cells, is a prominent feature of SLE. Human T and T cells characteristically produce high levels of the B cell chemoattractant CXCL13 (refs. ), yet regulation of T cell CXCL13 production and the relationship between CXCL13 T cells and other T cell states remains unclear. Here, we identify an imbalance in CD4 T cell phenotypes in patients with SLE, with expansion of PD-1/ICOS CXCL13 T cells and reduction of CD96 IL-22 T cells. Using CRISPR screens, we identify the aryl hydrocarbon receptor (AHR) as a potent negative regulator of CXCL13 production by human CD4 T cells. Transcriptomic, epigenetic and functional studies demonstrate that AHR coordinates with AP-1 family member JUN to prevent CXCL13 T/T cell differentiation and promote an IL-22 phenotype. Type I interferon, a pathogenic driver of SLE, opposes AHR and JUN to promote T cell production of CXCL13. These results place CXCL13 T/T cells on a polarization axis opposite from T helper 22 (T22) cells and reveal AHR, JUN and interferon as key regulators of these divergent T cell states.
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http://dx.doi.org/10.1038/s41586-024-07627-2 | DOI Listing |
Genes Immun
September 2025
Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, Scotland, UK.
The "omnigenic" hypothesis postulates that the polygenic effects of common variants on a typical complex trait coalesce on relatively few core genes through trans-effects on their expression. Our aim was to identify core genes for systemic lupus erythematosus (SLE) by testing for association with genome-wide aggregated trans-effects (GATE) scores for gene expression in a large genetic dataset (5267/4909 SLE cases/controls). SLE was strongly associated with upregulation of expression of eight interferon-stimulated genes driven by shared trans-effects.
View Article and Find Full Text PDFmedRxiv
August 2025
Division of Rheumatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, United States of America.
Juvenile idiopathic arthritis (JIA) is the most prevalent chronic inflammatory arthritis of childhood, yet the spatial organization in the synovium remains poorly understood. Here, we perform subcellular-resolution spatial transcriptomic profiling of synovial tissue from patients with active JIA. We identify diverse immune and stromal cell populations and reconstruct spatially defined cellular niches.
View Article and Find Full Text PDFCell Discov
August 2025
Lingang Laboratory, Shanghai, China.
Brain parenchymal metastases (BM) and leptomeningeal metastases (LM) represent distinct subtypes of central nervous system metastases (CNSm) from lung cancer, posing significant clinical challenges. The local immune landscape of LM remains elusive. Herein, we utilized single-cell RNA sequencing to build a cell atlas of LM, and systematically examine the immune profiling and cell heterogeneity between BM and LM.
View Article and Find Full Text PDFMod Pathol
August 2025
Département de Pathologie, Hôpitaux Universitaires Henri Mondor, Assistance Publique-Hôpitaux de Paris (AP-HP), Créteil, F-94010, France; Université Paris Est Créteil, Créteil, F-94010, France; INSERMU955, Institut Mondor de Recherche Biomédicale, Créteil, F-94010, France. Electronic addres
Follicular helper T-cell lymphomas (TFHL) of the angioimmunoblastic type (AITL) and other TFHL variants often contain EBV-positive B-blasts, but EBV infection of the neoplastic T-cells has rarely been documented. Here, we report 10 cases of TFHL (9 AITLs and 1 TFHL NOS) associated with EBV infection in neoplastic T cells. The patients (5 males, 5 females), 56-81 years old, presented with polyadenopathy (8/8), B symptoms (7/7), and skin lesions (4/7).
View Article and Find Full Text PDFPLoS One
August 2025
Department of Respiratory Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
Objective: This research aims to detect genes associated with the extracellular matrix (ECM) in idiopathic pulmonary fibrosis (IPF) using bioinformatics techniques and investigate their relationships with immune infiltration, with the goal of identifying new diagnostic and therapeutic targets for IPF.
Methods: The study employed a combination of differential expression analysis, weighted gene co-expression network analysis (WGCNA), and various machine learning algorithms to screen for characteristic genes. Gene set enrichment analysis (GSEA), gene ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) were utilized to evaluate relevant biological functions and pathways.