Biology subjects

Donlin, L.

Publications and source records attributed to Donlin, L..

9 recordsLinked to original sources

bioRxiv2026

Cross-presentation of citrullinated antigens drives cytotoxic CD8+ T cell responses in rheumatoid arthritis

Rheumatoid arthritis (RA) is an autoimmune synovitis marked by anti-citrullinated protein antibodies (ACPAs) and infiltration of the synovium by activated immune cells. In ACPA-positive RA, CD8 T cells are elevated in both the blood and synovium, and can be activated by MHC class I-restricted citrullinated autoantigens to mediate cytotoxic effector function. However, the mechanisms underlying the activation of cytotoxic CD8 T cells in RA remain poorly understood. Here, single-cell transcriptomic and T cell receptor repertoire analysis of RA blood and synovial T cells revealed shared clonally expanded cytotoxic CD8 T cell programs, with synovial enrichment of activated effector and proliferating populations and increased frequencies of GZMBIFNG CD8 T cells. We demonstrated that RA-associated oral bacteria stimulate neutrophil extracellular trap (NET) formation, leading to the peptidyl arginine deiminases (PAD)-dependent generation of extracellular citrullinated bacterial and host proteins. We further demonstrated that these antigens can be cross-presented to CD8 T cells via HLA class I molecules expressed by monocyte-derived dendritic cells (MoDCs) and autoreactive ACPA-expressing B cells. Toll-like receptor (TLR) signaling, particularly TLR4 activation by citrullinated antigens, enhanced cross-presentation of citrullinated antigens and promoted CD8 T cell activation and clonal expansion. In turn, citrullinated antigens stimulated autoreactive B cells to produce IL-8, which recruited CXCR1/2 cytotoxic CD8 T cells and amplified B cell-CD8 T cell interactions. These findings reveal a mechanistic pathway linking microbial triggers, antigen presentation, and cytotoxic CD8 T cell responses that may drive joint destruction in RA. One Sentence SummaryTLR4-driven cross-presentation of citrullinated antigens by dendritic cells and autoreactive B cells promotes activation of CD8+ T cells in rheumatoid arthritis.

immunology↗

bioRxiv2025

Sexual dimorphism in zymosan-induced arthritis is linked with a higher IFN response in myeloid cell subsets that faithfully recapitulate RA synovial cell clusters

A key feature of rheumatoid arthritis (RA) is sexual dimorphism, with a higher incidence of RA in females. Myeloid cells are key drivers of the inflammatory effector phase of RA, but little is known about their contribution to a sexually dimorphic arthritis phenotype. We wished to utilize an arthritis model that recapitulates RA pathogenic myeloid cell subsets defined by single cell transcriptome analysis to investigate sex differences in human disease-relevant cell types and related molecular pathways. We developed a computational strategy that rigorously maps scRNAseq-defined mouse arthritis myeloid cells and clusters onto previously defined RA subsets. Synovial myeloid cells in the zymosan-induced arthritis (ZIA) model closely recapitulated four pathogenic RA myeloid cell subsets, strongly supporting the disease-relevance of the ZIA model. ZIA also effectively modeled myeloid cells in immune checkpoint inhibitor arthritis (ICI-A). These RA, ICI-A and ZIA myeloid cells express genes in TNF-NF-kB, PGE2, and IFN-STAT pathways. In ZIA, an induction phase dominated by cell clusters expressing NF-kB and PGE2 pathways transitioned to peak arthritis characterized by cell subsets co-expressing NF-kB and IFN pathways, as occurs in RA and various inflammatory diseases. Female mice exhibited increased arthritis linked with early induction of interferon-stimulated genes and increased expansion of IFN signature-expressing cell subsets. Our study identifies a computational strategy and animal model that enables investigation of recently described pathogenic myeloid cell subsets, and links increased arthritis in female mice with specific myeloid cell subsets that exhibit a stronger IFN response.

immunology↗

bioRxiv2025

Pre-treatment naive T cells are associated with severe irAE following PD-1/CTLA4 checkpoint blockade for melanoma

Immune checkpoint inhibitors (ICIs) such as anti-PD-1 and anti-CTLA-4 antibodies are used to induce an immune response against many types of tumors. However, ICIs often also induce autoimmune responses, referred to as immune-related adverse events (irAEs), which occur unpredictably and at varying levels of severity in ICI-treated patients. The immunologic factors that predispose patients to the development of severe irAE are largely unclear. Here, we utilized high dimensional mass cytometry immunophenotyping of longitudinal blood samples from patients with metastatic melanoma treated with combination anti-PD-1/CTLA4 ICI therapy in the context of a clinical trial to characterize alterations in immune profiles induced by combination ICI therapy and to identify immune features associated with development of severe irAEs. Deep T cell profiling highlighted that ICI therapy induces prominent expansions of activated, CD38hi CD4+ and CD8+ T cells, which are frequently bound by the therapeutic anti-PD-1 antibody, as well as substantial changes in regulatory T cell phenotypes. However, neither the baseline frequency nor the extent of expansion of these cell populations was associated with development of severe irAEs. Rather, single cell-association testing revealed naive CD4+ T cell abundance pre-treatment as significantly associated with the development of severe irAEs. Biaxial gating of naive CD4+ T cells confirmed a significant positive association of naive CD4+ T cell proportion and development of a severe irAE and with the number of irAEs developed in this cohort. Results from this broad profiling study indicate the abundance of naive CD4+ T cells as a predictive feature for the development of severe irAEs following combination anti-PD-1/CTLA4 ICI therapy.

immunology↗

bioRxiv2025

Functional and dysfunctional T regulatory cell states in human tissues in RA and other autoimmune arthritic diseases

Regulatory T cells (Tregs), characterized by FOXP3 expression, are essential for maintaining immune homeostasis by controlling inflammation. However, in autoimmune diseases such as rheumatoid arthritis (RA), impaired Treg function contributes to immune dysregulation and disease pathology. While most studies of human Tregs have focused on blood, here we analyzed Tregs in synovial tissues from RA patients using single cell RNA sequencing (scRNAseq). We identified two predominant Treg states, CD25hiCXCR6pos Tregs with strong suppressive function, and CD25loAREGpos Tregs, a dysfunctional state exclusively enriched in synovial tissues but not in blood. Computational and in vitro analyses revealed that cortisol induced AREG expression, suppressed glycolysis, and impaired the suppressive function of CD25loAREGpos Tregs. In turn, AREG promoted an IL-33+ inflammatory phenotype in synovial fibroblasts. Importantly, we found that TNFR2 engagement can prevent or reverse this dysfunctional Treg state. In contrast to CD25loAREGpos Tregs, CD25hiCXCR6pos Tregs were highly suppressive, showed coordinated abundance with macrophages in synovial tissue, and functionally interacted with membrane-bound TNF expressed by macrophages, which promoted their functional suppressive state. These two Treg subsets were similarly found in the synovial tissue in Juvenile Idiopathic Arthritis (JIA), another inflammatory arthritic disorder, indicating conserved mechanisms across arthritic diseases. Together, our findings define distinct pathways driving divergent functional and dysfunctional Treg states in inflamed tissues and point to interventions that may prevent or reverse the development of the dysfunctional state.

immunology↗

bioRxiv2025

Deep topic modeling of spatial transcriptomics in the rheumatoid arthritis synovium identifies distinct classes of ectopic lymphoid structures

Single-cell RNA sequencing studies have revealed the heterogeneity of cell states present in the rheumatoid arthritis (RA) synovium. However, it remains unclear how these cell types interact with one another in situ and how synovial microenvironments shape observed cell states. Here, we use spatial transcriptomics (ST) to define stable microenvironments across eight synovial tissue samples from six RA patients and characterize the cellular composition of ectopic lymphoid structures (ELS). To identify disease-relevant cellular communities, we developed DeepTopics, a scalable reference-free deconvolution method based on a Dirichlet variational autoencoder architecture. DeepTopics identified 22 topics across tissue samples that were defined by specific cell types, activation states, and/or biological processes. Some topics were defined by multiple colocalizing cell types, such as CD34+ fibroblasts and LYVE1+ macrophages, suggesting functional interactions. Within ELS, we discovered two divergent cellular patterns that were stable across ELS in each patient and typified by the presence or absence of a "germinal-center-like" topic. DeepTopics is a versatile and computationally efficient method for identifying disease-relevant microenvironments from ST data, and our results highlight divergent cellular architectures in histologically similar RA synovial samples that have implications for disease pathogenesis.

immunology↗

bioRxiv2024

Opposing Regulation of TNF Responses and IL-1b+ Macrophages by PGE2-cAMP and IFN-g Signaling

IL-1{beta}-expressing macrophages have been described in rheumatoid arthritis (RA), immune checkpoint inhibitor-induced inflammatory arthritis (ICI-arthritis), and pancreatic cancer and proposed to be pathogenic. In RA and pancreatic cancer IL-1{beta}+ macrophages express genes cooperatively induced by PGE2 and TNF signaling, but mechanisms that induce these cells and the extent to which they contribute to arthritic phenotypes are not known. In this study we used an integrated transcriptomic and epigenomic analysis in primary human monocytes to study PGE2-TNF crosstalk, and how it is regulated by IFN-{gamma}, as occurs in RA synovial macrophages. We identified a TNF + PGE2 (TP) induced gene expression signature that is enriched in a previously identified IL1{beta}+ RA monocytic subset defined by scRNAseq and includes genes in pathogenic IL-1, Notch and neutrophil chemokine pathways. A similar TP gene expression signature was apparent in an IL-1{beta}+ macrophage subset newly identified by scRNAseq in ICI-arthritis. Reference mapping revealed that ICI-arthritis myeloid cells map primarily onto four previously defined RA synovial monocytic clusters, and the TP signature extends beyond IL-1{beta}+ cells to subsets of adjacent clusters, suggestive of a new functional monocyte subset. TP signature genes are distinct from canonical inflammatory NF-{kappa}B target genes such as TNF, IL6 and IL12B and are activated by cooperation of PGE2-induced AP-1, CEBP and NR4A family transcription factors with TNF-induced NF-{kappa}B activity. Unexpectedly, IFN-{gamma} suppressed induction of AP-1, CEBP and NR4A activity to ablate induction of IL-1, Notch and neutrophil chemokine genes, while promoting expression of distinct inflammatory genes such as TNF and T cell chemokines like CXCL10. The opposing cross-regulation of PGE2 and IFN signaling in vitro was reflected in vivo in mutually exclusive expression of TP and IFN signatures in different cell clusters in RA and ICI-arthritis monocytes. These results reveal the basis for synergistic induction of inflammatory genes by PGE2 and TNF, and a novel regulatory axis whereby IFN-{gamma} and PGE2 oppose each other to determine the balance between two distinct TNF-induced inflammatory gene expression programs relevant for RA and ICI-arthritis.

immunology↗

bioRxiv2023

Deep immunophenotyping reveals circulating activated lymphocytes in individuals at risk for rheumatoid arthritis

Rheumatoid arthritis (RA) is a systemic autoimmune disease with currently no universally highly effective prevention strategies. Identifying pathogenic immune phenotypes in At-Risk populations prior to clinical disease onset is crucial to establishing effective prevention strategies. Here, we applied mass cytometry to deeply characterize the immunophenotypes in blood from At-Risk individuals identified through the presence of serum antibodies to citrullinated protein antigens (ACPA) and/or first-degree relative (FDR) status (n=52), as compared to established RA (n=67), and healthy controls (n=48). We identified significant cell expansions in At-Risk individuals compared with controls, including CCR2+CD4+ T cells, T peripheral helper (Tph) cells, type 1 T helper cells, and CXCR5+CD8+ T cells. We also found that CD15+ classical monocytes were specifically expanded in ACPA-negative FDRs, and an activated PAX5low naive B cell population was expanded in ACPA-positive FDRs. Further, we developed an "RA immunophenotype score" classification method based on the degree of enrichment of cell states relevant to established RA patients. This score significantly distinguished At-Risk individuals from controls. In all, we systematically identified activated lymphocyte phenotypes in At-Risk individuals, along with immunophenotypic differences among both ACPA+ and ACPA-FDR At-Risk subpopulations. Our classification model provides a promising approach for understanding RA pathogenesis with the goal to further improve prevention strategies and identify novel therapeutic targets.

genomics↗

bioRxiv2022

Heterogeneity of Inflammation-associated Synovial Fibroblasts in Rheumatoid Arthritis and Its Drivers

Inflammation of non-barrier immunologically quiescent tissues is associated with a massive influx of blood-borne innate and adaptive immune cells. Cues from the latter are likely to alter and expand the spectrum of states observed in cells that are constitutively resident. However, local communications between immigrant and resident cell types in human inflammatory disease remain poorly understood. Here, we explored heterogeneity of synovial fibroblasts (FLS) in inflamed joints of rheumatoid arthritis (RA) patients using paired single cell RNA and ATAC sequencing (scRNA/ATAC-seq), multiplexed imaging, and spatial transcriptomics along with in vitro modeling of cell extrinsic factor signaling. These analyses suggest that local exposures to myeloid and T cell derived cytokines, TNF, IFN{gamma}, IL-1{beta}, or lack thereof, drive six distinct FLS states some of which closely resemble fibroblast states in other disease-affected tissues including skin and colon. Our results highlight a role for concurrent, spatially distributed cytokine signaling within the inflamed synovium.

immunology↗

bioRxiv2021

Single cell analysis of RA synovial B cells reveals a dynamic spectrum of ectopic lymphoid B cell activation and hypermutation characterized by NR4A nuclear receptor expression

Ectopic lymphoid structures (ELS) can develop in rheumatoid arthritis (RA) synovial tissue, but the precise pathways of B cell activation and selection are not well understood. Here, we identified a unique B cell population in the synovium characterized by co-expression of a family of orphan nuclear receptors, NR4A1 (also known as NUR77), NR4A2 (NURR1) and NR4A3 (NOR1), that is highly enriched at both early and late stages of RA. NR4A B cells are rare in healthy peripheral blood, RA blood, and SLE kidney, but share markers with blood transcriptomic signatures that peak during RA disease flare. Using combined single cell transcriptomics and B cell receptor (BCR) sequencing, we demonstrate that NR4A synovial B cells have an activated transcriptomic profile that significantly overlaps with germinal center (GC) light zone (LZ) B cells and an accrual of somatic hypermutation that correlates with loss of naive B cell status. NR4A B cells uniquely co-express lymphotoxin {beta} and IL6, supporting important functions in ELS promotion and pro-inflammatory cytokine production. Further, the presence of shared clones in this activated B cell state and NR4A expressing synovial plasma cells (PC) and the rapid up-regulation with BCR stimulation points to in situ differentiation. Taken together, we identified a dynamic progression of B cell activation in RA synovial ELS, with NR4A transcription factors having an important role in antigen activation and local adaptive immune responses. One sentence summaryB cells in the rheumatoid arthritis synovium undergo a spectrum of in situ activation, with the NR4A family of transcription factors having an important role in antigen stimulation, local adaptive immunity, and pathological B cell responses.

immunology↗