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Schett, G.

Publications and source records attributed to Schett, G..

16 recordsLinked to original sources

CD19-CAR T-cell therapy resets the EBV+ autoreactive B cell repertoire in autoimmune disease

Epstein-Barr virus (EBV) reprograms autoreactive B cells into activated antigen-presenting cells that drive pathogenic T- and B-cell responses in autoimmune disease. Whether eliminating these cells contributes to durable remission after CD19 chimeric antigen receptor (CAR) T-cell therapy is unknown. Here, using EBV B-cell sequencing (EBV-seq), we profiled EBV+ B cells from patients treated with CD19-CAR T cells (systemic lupus erythematosus, n=6; inflammatory myopathy, n=3; systemic sclerosis, n=3) or rituximab (n=15) and recombinantly expressed their antibodies to define antigen specificity. At baseline, EBV+ B cells were enriched relative to healthy donors, class-switched and hypermutated, expressed the latency III program with heightened antigen-presentation signatures, and encoded autoantibodies. CAR T cells, but not rituximab, depleted EBV+ B cells and shifted the reconstituted repertoire towards IgM+, minimally mutated, largely non-autoreactive cells, consistent with infection of newly generated B cells. After rituximab, EBV+ B cells retained a class-switched, hypermutated and autoreactive with an activated antigen-presenting phenotype. Sustained drug-free remission occurred in 8/12 CAR T-cell-treated versus 0/15 rituximab-treated patients. In vitro, EBV+ B cells resisted anti-CD20 and anti-CD19 antibodies but were killed by CAR T cells and a CD19 T-cell engager. Our findings suggest resetting the EBV+ autoreactive B-cell repertoire contributes to sustained drug-free remission.

immunology↗

Spatial proteomic profiling of cardiac stromal populations and microenvironments in systemic sclerosis-associated primary myocardial involvement

Objectives: To define cardiac stromal heterogeneity and spatial stromal-immune organization in systemic sclerosis-associated virus-negative myocarditis (SSc-VNM), a manifestation of primary SSc heart involvement. Methods: Imaging mass cytometry, a single-cell multiplexed spatial proteomic technology, was applied to endomyocardial biopsies from ten patients with SSc-VNM, seven with VNM associated with other systemic autoimmune rheumatic diseases (a-VNM) and nine with isolated VNM (i-VNM). Single-cell phenotyping, cellular-neighborhood and spatial-interaction analyses, and correlations with histological fibrosis were performed at patient level. Results: Among 82,673 segmented cells, we identified seven fibroblast phenotypes and one CD34+ stromal-cell population. The overall fibroblast/stromal compartment was expanded in SSc-VNM compared with i-VNM (adjusted p = 0.00973). The composition of fibroblasts/stromal cells differed profoundly in SSc-VNM compared with a-VNM and i-VNM, with numerical increases in CD34+ stromal cells and SOX9+ and PI16high/POSTNhigh fibroblasts and de-enrichment of FAPhigh/POSTNhigh fibroblasts and myofibroblasts. Spatial analysis identified ten cellular neighborhoods and revealed distinct SSc-VNM-associated patterns, including altered stromal-immune interaction networks. These included enriched interactions of CD34+ stromal cells and PI16high/POSTNhigh fibroblasts with CD163high/HLA-DR+ macrophages and CD68+ mast cells. PI16high/POSTNhigh and PI16-/POSTNhigh fibroblasts demonstrated the highest collagen type 1 expression among all stromal cell subsets across all VNM entities and PI16high/POSTNhigh fibroblasts were numerically increased in biopsies with [≥]10% fibrotic remodeling and were spatially associated with collagen-rich areas. Conclusions: Our findings refine current concepts of human fibrotic myocardial remodeling and support therapeutic targeting of specific stromal players such as POSTNhigh fibroblast subpopulations. Keywords: Systemic Sclerosis; Myocarditis; Myocardial Fibrosis; Fibroblasts; Imaging Mass Cytometry.

bioinformatics↗

Microbiota-specific serum IgG links gut and joints through immune-endothelial crosstalk in arthritis

Rheumatoid arthritis (RA) pathogenesis involves early gut immune alterations that precede clinical onset and systemic bone involvement. Using mouse and human imaging mass cytometry (IMC) and tissue sequencing, this study shows that intestinal endothelial and immune changes emerge before or coincide with arthritis symptom development. In the collagen-induced arthritis (CIA) model, intestinal vascular permeability and endothelial gene activation promoting leukocyte trafficking appeared prior to synovial inflammation. Spatial mapping of murine and human ileal tissues predicted enhanced epithelial-immune interactions and lymphoid activation, suggesting mucosal immune priming before joint pathology. Both gut-selective 4{beta}7 integrin blockade with vedolizumab and endothelial barrier enhancement by imatinib significantly reduced arthritis severity in CIA mice. After clinical onset, microbiota-specific IgG responses expanded to recognize rare gut bacteria, reflecting increased microbial exposure. Bone marrow endothelium exhibited interferon-I-driven inflammation and vascular activation, indicating tissue-specific endothelial dysfunction. Microbiota-reactive IgG increased during CIA - likely a response to translocating gut bacteria and immune cell activation. Integrating mouse and human data, these findings define a mechanistic framework where endothelial barrier impairment, microbial translocation, and systemic endothelial activation initiate RA autoimmunity, revealing endothelial and mucosal pathways as targets for early intervention. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=145 SRC="FIGDIR/small/702529v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@1ef2f41org.highwire.dtl.DTLVardef@77d66org.highwire.dtl.DTLVardef@1b9e4cborg.highwire.dtl.DTLVardef@15bd170_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Neutrophil Transcriptomics in SLE: Exploring Intrinsic, Ex Vivo Adaptation, and CAR T-Cell Therapy-Induced Changes

ObjectivesSystemic lupus erythematosus (SLE) is an autoimmune disease characterized by dysregulation of the adaptive and innate immunityThis study aimed to identify transcriptomic differences in neutrophils from SLE patients and healthy individuals, analyze ex vivo adaptation dynamics, and evaluate the impact of chimeric antigen receptor (CAR) T-cell therapy on neutrophil transcriptomic profiles. MethodsNeutrophils were isolated via negative selection from seven SLE patients and three healthy individuals. RNA sequencing was performed to assess transcriptomic differences, ex vivo dynamics over 60 minutes, and responses to lipopolysaccharide (LPS) stimulation. Additionally, longitudinal transcriptomic data from an SLE patient undergoing KYV-101 anti-CD19 CAR T-cell therapy were evaluated. ResultsWe identified 258 differentially expressed genes (DEGs) consistently distinguishing SLE from healthy neutrophils; they spanned multiple clusters, enriched in interferon-related and DNA damage repair genes (upregulated), and ribosomal protein genes (downregulated). Ex vivo adaptation revealed shared activation pathways, such as NF-{kappa}B and apoptosis, in both groups. LPS stimulation highlighted overlapping inflammatory responses, demonstrating retained functional capacities in SLE neutrophils. Following CAR T-cell therapy of an SLE patient,neutrophil transcriptomic profiles realigned with healthy controls by three months post-treatment. ConclusionsNeutrophils in SLE exhibit intrinsic, disease-specific transcriptomic alterations while sharing ex vivo adaptation dynamics with healthy individuals. The disease-specific alterations appear to be modifiable through targeted therapeutic intervention, as anti-CD19 CAR T-cell therapy resets neutrophil gene expression toward healthy patterns despite targeting B cells rather than neutrophils directly. These findings provide insights into SLE pathogenesis and highlight potential therapeutic strategies targeting both adaptive and innate immunity.

immunology↗

Distinct myeloid precursors and their interaction with mesenchymal cells orchestrate the spreading of psoriatic disease from the skin to the joints

Psoriatic disease initially affects the skin, but later extends to the joints. Herein, we describe a two-step process that orchestrates spreading of inflammation from the skin to the joints. Induction of psoriatic skin disease in photoconvertible mice, followed by sequencing and computational characterization of skin-derived cells in the joints, identified a unique population of CD2+ MHC-II+ CCR2+ myeloid precursors that built up a skin-derived myeloid cell compartment in the joints. Single-cell cross-species reference mapping and mitochondrial variant tracing showed an orthologue human cell population. Interactome analyses in the joints showed that in a second step, resident regulatory CD200+ fibroblasts critically regulate the priming of the CD2+ MHC-II+ CCR2+ myeloid precursors, which subsequently regulate the IL-17 expression in T cells. Hence, spreading of inflammation requires a distinct migratory myeloid precursor population and a permissive local tissue environment, similar to tumour metastasis. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=121 SRC="FIGDIR/small/665302v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@38c440org.highwire.dtl.DTLVardef@dc574dorg.highwire.dtl.DTLVardef@1e79f72org.highwire.dtl.DTLVardef@19508cf_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Single cell mapping of the metabolic landscape of skin fibrosis in systemic sclerosis

AbstractTissue resident cells undergo metabolic reprogramming during fibrotic tissue remodeling to meet their changing metabolic demands required for extracellular matrix production and phenotypic transitions in fibrosis. However, the metabolic reprogramming in fibrotic tissues has not yet been explored at single cell level with spatial resolution. Moreover, the spatial organization of metabolic niches in fibrotic tissues remains understudied. To address these gaps, we used imaging mass cytometry (IMC) and characterized the metabolic regulome, indicative of the activity in several key metabolic pathways in systemic sclerosis (SSc) as a prototypic systemic fibrotic disease. We identified a distinct metabolically active profile with high activity of glycolysis, TCA/OXPHOS, hypoxia and ROS signaling in fibroblasts, endothelial cells and macrophages in SSc patients with progressive skin fibrosis. These metabolic profiles are associated with expression of markers of profibrotic activation. Metabolically active fibroblasts might shape their microenvironment to induce a similar metabolic phenotype in neighboring endothelial cells and macrophages, facilitating profibrotic interactions. Consistently, specific interactions between metabolically defined, activated cell subsets are associated with the extent or progression of skin fibrosis. Thus, interfering with these metabolic niches might provide therapeutic opportunities in fibrotic diseases.

cell biology↗

Mucosal innate immune activation as the trigger to Prevotella species-induced arthritis in genetically resistant mice

An altered gut microbiota, particularly the expansion of Prevotellaceae members, is increasingly implicated in the pathogenesis of rheumatoid arthritis (RA), yet the mechanisms hind this phenomenon remain unclear. Here, we demonstrate that Palleniella intestinalis, a member of the Prevotellaceae family, induces a 100% arthritis incidence in genetically resistant C57BL/6 mice. Inoculation with P. intestinalis modifies gut microbiota ecology, increases intestinal permeability, and selectively activates colonic CD11bCD11c myeloid cells, facilitating Th17 differentiation and driving joint inflammation. In vitro, outer membrane vesicles (OMV) from P. intestinalis and Segatella copri (formerly known as Prevotella copri) prime bone marrow-derived dendritic cells (BMDCs) to drive Th17 differentiation in an IL-6-dependent manner. Similar changes with increase in innate immune cell activation and IL-6 levels were shown in gut biopsies from new-onset RA patients. The transfer of Prevotellaceae-derived OMVs or Prevotellaeae-primed BMDCs replicates the hightened arthritis incidence in resistant mice, highlighting the critical role of intestinal immune activation in RA. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=130 SRC="FIGDIR/small/643707v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@1ce227corg.highwire.dtl.DTLVardef@3a2d0eorg.highwire.dtl.DTLVardef@16404b6org.highwire.dtl.DTLVardef@1717dc1_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LIColonization with Paleniella intestinalis bypasses genetic resistance, consistently inducing arthritis incidence in non-susceptible C57BL/6 mice C_LIO_LIP. intestinalis activates colonic CD11b+CD11c+ myeloid cells, driving systemic Th17 cell differentiation C_LIO_LIIn vitro, outer membrane vesicles from P. intestinalis or RA-derived S. copri RPC01 primed DCs that drive Th17 differentiation in an IL-6-dependent manner C_LIO_LITransfer of P. intestinalis-primed DCs or its outer membrane vesicles alone increases arthritis incidence in non-susceptible C57BL/6 mice C_LI

immunology↗

Spatially informed phenotyping by cyclic-in-situ-hybridization identifies novel fibroblast populations and their pathogenic niches in systemic sclerosis

Spatially non-resolved transcriptomic data identified functionally distinct populations of fibroblasts in health and disease. However, in-depth transcriptional profiling in situ at single-cell resolution has not been possible so far. Here, we studied fibroblast populations in the skin of SSc patients and healthy individuals using cyclic in situ hybridization (cISH) as a novel approach for spatially-resolved transcriptional phenotyping with subcellular resolution. cISH deconvoluted the heterogeneity of 20,979 cells including 3,764 fibroblasts (FB). BANKSY-based spatially-informed clustering identified nine FB subpopulations, with SFRP2+ RetD FB and CCL19+ nonPV FB as novel subpopulations that reside in specific cellular niches and display unique gene expression profiles. SFRP2+ RetD FB and CCL19+ nonPV FB as well as COL8A1+ FB, display altered frequencies in SSc skin and play specific, disease-promoting roles for extracellular matrix release and leukocyte recruitment as revealed by their transcriptional profile, their cellular interactions and ligand-receptor analyses. The frequencies of COL8A1+ FB and their interactions with monocytic cells and B cells are associated with progression of skin fibrosis in SSc. In summary, our spatially-resolved transcriptomic approach identified novel fibroblast subpopulations deregulated in SSc skin with specific pathogenic roles, some of which may potentially serve as biomarkers for progression of skin fibrosis.

immunology↗

IgA displays site- and subclass-specific glycoform differences despite equal glycoenzyme expression

BackgroundGlycosylation is an important posttranslational modification of proteins and in most cases indispensable for proper protein function. Like most soluble proteins, IgA, the second most prevalent antibody in human serum, contains several N- and O-glycosylation sites. While for IgG the impact of Fc glycosylation on effector functions and inflammatory potential has been intensively studied, only little is known for IgA. In addition, only glimpses exist regarding the regulation of IgA glycosylation. We have previously shown that IgA1 and IgA2 differ functionally and also show differences in their glycosylation pattern. The more pro-inflammatory IgA2 which is linked to autoimmune diseases displays decreased sialylation, galactosylation, fucosylation and bisection as compared to IgA1. In the present study, we aimed to investigate these differences in glycosylation in detail and to explore the mechanisms underlying them. MethodsIgA1 and IgA2 was isolated from serum of 12 healthy donors. Site specific glycosylation was analyzed by mass spectrometry. In addition, human bone marrow plasma cells were investigated using single cell mRNA sequencing, flow cytometry and ELISpot. ResultsWe found that certain glycoforms greatly differ in their abundance between IgA1 and IgA2 while others are equally abundant. Overall, the IgA2 glycans displayed a more immature phenotype with a higher prevalence of oligomannose and fewer fully processed glycans. Of note, these differences cant be explained by differences in the glycosylation enzyme machinery as mRNA sequencing and flow cytometry analysis showed equal enzyme expression in IgA1 and IgA2 producing plasma cells. ELISpot analysis suggested a slightly increased antibody production rate in IgA2 producing plasma cells which might contribute to its lower glycan processing rates. But this difference was only minor, suggesting that further factors such as steric accessibility determine glycan processing. This is supported by the fact that glycans at different positions on the same IgA chain differ dramatically in fucosylation, sialylation and bisection. ConclusionIn summary, our detailed overview of IgA1 and IgA2 glycosylation shows a class, subclass, and site-specific glycosylation fingerprint, most likely due to structural differences of the protein backbones.

immunology↗

Accurate, fast and memory efficient quantification of immune cell phenotypes in cytometry using machine learning

To achieve accurate and reproducible cytometry data analysis, we benchmarked 19 machine learning algorithms for supervised and unsupervised cell classification. The underlying data encompassed 138 million cells from seven independent datasets including conventional flow cytometry, spectral flow cytometry and mass cytometry. We found that tree-based classifiers and in particular Decision Trees, outperformed other approaches in classification accuracy, speed and memory use. High accuracy was achieved even for cell populations rarer than 1% using decision trees. We validated our decision tree-based approach in a clinical setting using diagnostic blood T cell phenotyping of 107 patients. Automatic quantification of CD4 helper T cell phenotypes achieved 99 % accuracy compared to manual expert assessment. Finally, we combined automated data transformation, supervised and unsupervised gating, an application program interface and a user-friendly desktop-application into FACSPy and FACSPyUI, a fast and scalable open-source toolbox for the analysis and visualization of cytometry data.

bioinformatics↗

Gut-specific H3R signaling orchestrates microglia-dependent resolution of peripheral inflammation

Chronic inflammatory diseases, like rheumatoid arthritis (RA) have been described to cause central nervous system (CNS) activation. Less is known about environmental factors that enable the CNS to suppress peripheral inflammation in RA. Here, we identified gut microbiota-derived histamine as such factor. We show that low levels of histamine activate the enteric nervous system, increase inhibitory neurotransmitter concentrations in the spinal cord and restore homeostatic microglia, thereby reducing inflammation in the joints. Selective histamine 3 receptor (H3R) signaling in the intestine is critical for this effect, as systemic and intrathecal application did not show effects. Microglia depletion or pharmacological silencing of local nerve fibers impaired oral H3R agonist-induced pro-resolving effects on arthritis. Moreover, therapeutic supplementation of the SCFA propionate identified one way to expand local intestinal histamine concentrations in mice and humans. Thus, we define a gut-CNS-joint axis pathway where microbiota-derived histamine initiates the resolution of arthritis via the CNS. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=109 HEIGHT=200 SRC="FIGDIR/small/603031v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@c217b8org.highwire.dtl.DTLVardef@a340ceorg.highwire.dtl.DTLVardef@1f3c1d8org.highwire.dtl.DTLVardef@3b6fc9_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LIGut microbiota-derived histamine activates enteric neurons via H3R C_LIO_LILocal intestinal H3R activation induces shift to homeostatic microglia in the spinal cord C_LIO_LICNS controlled decrease in endothelial leakiness resolves synovial inflammation C_LI

immunology↗

GDF15 mediates inflammation-associated bone loss through a brain-bone axis

Metabolic mediators play an important role in regulating chronic inflammation in the body. Here we report an unexpected role for GDF15 (Growth Differentiation Factor 15), a central mediator of food intake, in inflammation-associated bone loss. GDF15 serum levels were found to be elevated in arthritis patients and inversely correlated with bone density. Despite being associated with inflammation, we found that GDF15 itself does not cause, nor contribute to, clinical or histopathological arthritis. Rather, under inflammatory conditions, GDF15 mediates trabecular bone loss through its receptor GFRAL, which is exclusively expressed in the hindbrain. GDF15-GFRAL binding results in {beta}-adrenergic activation of MALPs (Marrow Adipocytic Lineage Precursors) in the bone marrow, which stimulate osteoclasts and trigger bone loss. These data suggest a metabolic mediator-controlled brain-bone axis in inflammation, through which bone loss is induced in a contextual rather than general manner. These findings may lead to more specific therapeutic interventions to protect bone.

immunology↗

Molecular Imaging with Fibroblast Activation Protein Tracers depicts Inflammatory Joint Damage and its Transition to Resolution of Inflammation

Joint fibroblasts play an important role in the transition from joint inflammation to irreversible joint damage. There is no established clinical method to measure fibroblast activation during inflammation and their phenotypic dynamics upon therapy to date. Here we show that upon treatment with IL-17A/TNF-blocking antibodies fibroblasts change their phenotype from a destructive IL-6+/MMP3+THY1+ to a CD200+DKK3+ subtype, actively inducing resolution of inflammation. This phenotypic switch can be visualized due to so far unexplored different capacities of fibroblast subtypes with regard to receptor internalization of small molecular tracers with high affinity to FAP. Although FAP expression levels are comparable between fibroblast subtypes in the joint, FAP internalisation rate correlates with the destructive potential of fibroblasts and resolving fibroblasts have a lower FAP internalisation rate, providing a valuable imaging tool to visualize the transition from joint damage to resolution of inflammation.

immunology↗

Alcohol-sourced acetate reduces T cell filamentous actin branching and migration

Alcohol is among the most widely consumed dietary substances. Excessive alcohol consumption damages the liver, heart and brain. Alcohol also has strong immunoregulatory properties. Here we report how alcohol impairs T cell function via acetylation of cortactin, a protein that binds filamentous actin and facilitates branching. Upon alcohol consumption, acetate, the metabolite of alcohol, accumulates in lymphoid organs. T cells exposed to acetate, exhibit increased acetylation of cortactin. Acetylation of cortactin inhibits filamentous actin binding and hence reduces T cell migration, immune synapse formation and activation. While mutated, acetylation-resistant cortactin rescued the acetate-induced inhibition of T cell migration, primary mouse cortactin knock-out T cells exhibited impaired migration. Furthermore, acetate-induced cytoskeletal changes effectively inhibited activation, proliferation, and immune synapse formation in T cells in vitro and in vivo in an influenza infection model in mice. Together these findings reveal cortactin as a possible target for mitigation of T cell driven autoimmune diseases.

immunology↗

Interleukin-3 is a predictive marker for severity and outcome during SARS-CoV-2 infections

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a worldwide health threat. Here, we report that low plasma interleukin-3 (IL-3) levels were associated with increased severity and mortality during SARS-CoV-2 infections. IL-3 promoted the recruitment of antiviral circulating plasmacytoid dendritic cells (pDCs) into the airways by stimulating CXCL12 secretion from pulmonary CD123+ epithelial cells. This study identifies IL-3 as a predictive disease marker and potential therapeutic target for SARS-CoV-2 infections.Competing Interest StatementThe authors have declared no competing interest.View Full Text

immunology↗

Genetically distinct clinical subsets, and associations with asthma and eosinophil abundance, within Eosinophilic Granulomatosis with Polyangiitis

Eosinophilic granulomatosis with polyangiitis (EGPA: formerly Churg-Strauss syndrome) is a rare inflammatory disease of unknown cause. 30% of patients have anti-neutrophil cytoplasm antibodies (ANCA) specific for myeloperoxidase (MPO). We performed a genome-wide association study (GWAS) of EGPA, testing 7.5 million genetic variants in 684 cases and 6,838 controls. Case-control analyses were performed for EGPA as a whole, and stratified by ANCA. To increase power, we used a conditional false discovery rate method to leverage findings from GWASs of related phenotypes. In total, 11 variants were associated with EGPA, two specifically with ANCA-negative EGPA, and one (HLA-DQ) with MPO+ANCA EGPA. Many variants were associated with asthma, eosinophilic and immune-mediated diseases and, strikingly, nine were associated with eosinophil count in the general population. Through Mendelian randomisation, we show that a primary tendency to eosinophilia underlies EGPA susceptibility. We demonstrate that EGPA comprises two genetically and clinically distinct syndromes, with ANCA-negative EGPA genetically more similar to asthma. MPO+ ANCA EGPA is an eosinophilic autoimmune disease sharing certain clinical features and an MHC association with MPO+ ANCA-associated vasculitis, while ANCA-negative EGPA may instead have a mucosal/barrier dysfunction origin. Five identified candidate genes are targets of therapies in development, supporting their exploration in EGPA.

genetics↗