Dynamic changes of immune cells in systemic lupus erythematosus with nephritis using longitudinal peripheral blood single-cell RNA-seq
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ORGANISM(S): Homo sapiens
PROVIDER: GSE254176 | GEO | 2025/02/01
REPOSITORIES: GEO
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Project description:Systemic lupus erythematosus (SLE) is a prototypical autoimmune disease of unknown cause. We show here that a novel T follicular helper cell type expressing the guanine nucleotide exchange factor DOCK8 on the cell surface causes SLE. These cells, which we have designated autoantibody-inducing CD4 T (aiCD4 T) cells, are generated after resuscitation from anergy following strong TCR stimulation by antigen. When mice normally not prone to autoimmune disease were repeatedly immunized with an antigen such as OVA, they generated DOCK8+ CD4 T cells. These DOCK8+ CD4 T cells, in vivo and also upon transfer to naïve mice, induced a variety of autoantibodies and lesions characteristic of SLE. TCR repertoire analyses showed that a substantial number of novel TCR repertoires were generated in the DOCK8+ CD4 T cells, which induced novel autoantibodies upon transfer to naïve mice. DOCK8+ CD4 T cells are localized in splenic red pulp, the space immunoreactive against a variety of antigens, and specifically increased in the peripheral blood of SLE patients in association with disease activity. Anti-DOCK8 antibody treatment ameliorated the lesions induced by DOCK8+ CD4 T cells and in lupus model (NZB x W) F1 mice. Thus, when CD4 T cells are overstimulated by an external disturbance, i.e., repeatedly stimulated with antigen, to levels that surpass the system’s self-organized criticality, these cells express DOCK8 on the cell surface and acquire autoreactivity via TCR re-revision at the periphery. These DOCK8+ CD4 T cells subsequently induce a variety of autoantibodies and SLE.
2020-10-09 | GSE159240 | GEO
Project description:Transcriptional modules were used as a basis for the selection of biomarkers and the development of a multivariate transcriptional indicator of disease progression in patients with systemic lupus erythematosus. Experiment Overall Design: The proposed biomarker-selection strategy relies on modules for reducing highly dimensional microarray data sets in a stepwise manner. Starting from the full set of 28 modules, only those for which a set minimum proportion of transcripts are significantly changed between the study groups are selected (e.g., minimum proportion of differentially expressed transcripts at p < 0.05 = 15% overexpressed or underexpressed transcripts; in the example given, 11 SLE modules meet this criterion). This eliminates from the selection pool the modules registering fewer consistent changes that could be attributed to noise. Transcriptional vectors were derived for the entire cohort of 22 untreated pediatric SLE patients with the use of this set of 11 SLE modules. Patient profiles were also generated for an independent set of 31 children with SLE treated with steroids and/or cytotoxic drugs and/or hydroxychloroquine. A nonparametric method for analyzing multivariate ordinal data was used to score the patients. Lupus disease flares can lead to irreversible worsening of the patient's status. We tested the relevance of this multivariate transcriptional score for longitudinal monitoring of the disease activity in a cohort of 20 pediatric SLE patients (two to four time points/patient, intervals between each time point varied from one month to 18 months). Half of the patients had been included in our cross-sectional analysis before they were enrolled in this longitudinal study. Parallel trends were observed between multivariate transcriptional scores and a clinical severity score. The positive association was verified statistically with the use of a linear-regression model. Experiment Overall Design:
2008-10-01 | E-GEOD-11909 | biostudies-arrayexpress
Project description:Systemic lupus erythematosus (SLE) is an autoimmune disease defined by a broad range of symptoms that disproportionately affects women Our knowledge of which immune cells mediate the etiology and pathogenesis of the disease remains incomplete Identifying pathogenic cells using bulk gene expression analysis is confounded by the functional overlap and frequency variation of immune cell types Here, we used multiplexed single-cell RNA-seq (scRNA-seq) to profile ~1 million peripheral blood mononuclear cells from 134 SLE cases and 58 healthy controls Cases were marked by a reduction of naive CD4+ T cells, clonal restriction of effector memory CD8+ T cells, and elevated expression of interferon-stimulated genes in classical monocytes An additional 15 cases experiencing active disease flares displayed increased expansion of effector memory CD8+ T cells and the presence of macrophages not seen in managed disease Although cell-type-specific expression contributed most to inter-individual expression variability across all cells, cell composition accounted for more variability in genes differentially expressed in cases We integrated dense genotyping data to map thousands of genetic variants, including SLE-associations, whose effects on expression are modified by cell type or interferon activation Population-scale scRNA-seq analysis reveals changes in cell composition and state associated with SLE, and when integrated with genetic data, ascribes function to disease-associated and disease-modified variants
2019-11-10 | GSE137029 | GEO
Project description:Antigen-specific regulatory T cells (Tregs) suppress pathogenic autoreactivity and are potential therapeutic candidates for autoimmune diseases such as systemic lupus erythematosus (SLE). Lupus nephritis is associated with autoreactivity to the Smith (Sm) autoantigen and the human leucocyte antigen (HLA)-DR15 haplotype; hence, we investigated the potential of Sm-specific Tregs (Sm-Tregs) to suppress disease. We identified a novel HLA-DR15 restricted immunodominant Sm T cell epitope using biophysical affinity binding assays, then identified high-affinity Sm-specific T cell receptors (TCRs) using high-throughput single-cell sequencing. Using lentiviral vectors, we transduced our lead Sm-specific TCR onto Tregs derived from patients with SLE who were anti-Sm and HLA-DR15 positive. Compared with polyclonal mock-transduced Tregs, Sm-Tregs potently suppressed Sm-specific pro-inflammatory responses in vitro and suppressed disease progression in a humanized mouse model of lupus nephritis. These results show that Sm-Tregs are a promising therapy for SLE.
2023-11-28 | GSE242152 | GEO
Project description:Most systemic lupus erythematosus (SLE) patients are photosensitive and ultraviolet B light (UVB) exposure worsens cutaneous disease and precipitates systemic flares of disease. The pathogenic link between skin disease and systemic exacerbations in SLE remains elusive. In an acute model of UVB-triggered inflammation, we observed that a single UV exposure triggered a striking IFN-I signature not only in the skin, but also in the blood and kidneys. The early IFN-I signature was significantly higher in female compared to male mice. The early IFN-I response in the skin was almost entirely, and in the blood partly, dependent on the presence of cGAS, as was skin inflammatory cell infiltration. Inhibition of cGAMP hydrolysis augmented the UVB-triggered IFN-I response. UVB skin exposure leads to cGAS-activation and both local and systemic IFN-I signature and could contribute to acute flares of disease in susceptible subjects such as patients with SLE.
2020-04-13 | GSE148535 | GEO
Project description:We previously reported that JAK/STAT pathway-mediated regulation of IRF-related genes may have an important role in the disease activity of SLE through analyzing the difference of gene expression in peripheral blood CD3+ T cells obtained from SLE patients. Recently pan-JAK inhibitor (JAKi) tofacitinib (TOFA) were developed and successfully applied to patients with rheumatoid arthritis. Therefore, the application possibility of TOFA was investigated for the new therapeutic strategy of SLE. Anti-dsDNA antibody and proteinuria were decreased and glomerulo/interstitial nephritis were ameliorated in any TOFA administered SLE mice. In splenic CD4+ T cell analysis, naïve cells significantly increased and effector/memory cells decreased. TOFA with dexamethasone (DEXA) therapy showed tendency to indicate stronger inhibitory effect comparing with TOFA or DEXA monotherapy. The gene expression of Ifit3/IFIT3 that related with anti-viral IFN signaling pathway was significantly suppressed in both CD4+ from SLE mice and CD3+ T cells from SLE patients after treatment. Both TOFA monotherapy and dual therapy with DEXA could suppress nephritis and modify immunological function in SLE mice with different genetic background. IFN signaling pathway was supposed to be important for the functional mechanism of TOFA to improve the disease condition. TOFA may contribute to the development of a new therapeutic strategy for SLE. The gene expression analysis was compared among tofacitinib, tofacitinib+dexamethsone, dexamethsone and non-treated control groups and extracted TOFA specific decreased genes in NZBWF1 mice.
2016-03-03 | E-GEOD-78825 | biostudies-arrayexpress
Project description:Introduction: Pediatric systemic lupus erythematosus (pSLE) patients often initially present with more active and severe disease than adults, including a higher frequency of lupus nephritis. Specific autoantibodies, including anti-C1q, anti-DNA and anti-alpha-actinin, have been associated with kidney involvement in SLE, and DNA antibodies are capable of initiating early stage lupus nephritis in severe combined immunodeficiency (SCID) mice. Over 100 different autoantibodies have been described in SLE patients, highlighting the need for comprehensive autoantibody profiling. Knowledge of the antibodies associated with pSLE and proliferative nephritis will increase the understanding of SLE pathogenesis, and may aid in monitoring patients for renal flare. Methods: We used autoantigen microarrays composed of 140 recombinant or purified antigens to compare the serum autoantibody profiles of new-onset pSLE patients (n=45) to healthy controls (n=17). We also compared pSLE patients with biopsy-confirmed class III or IV proliferative nephritis (n=23) and without significant renal involvement (n=18). We performed ELISA with selected autoantigens to validate the microarray findings. We created a multiple logistic regression model, based on the ELISA and clinical information, to predict whether a patient had proliferative nephritis, and used a validation cohort (n=23) and longitudinal samples (88 patient visits) to test its accuracy. Results: Fifty autoantibodies were at significantly higher levels in the sera of pSLE patients compared to healthy controls, including anti-B-cell activating factor (BAFF). High levels of anti-BAFF were associated with active disease. Thirteen serum autoantibodies were present at significantly higher levels in pSLE patients with proliferative nephritis than those without, and we confirmed five autoantigens (dsDNA, C1q, collagens IV & X and aggrecan) by ELISA. Our model, based on ELISA measurements and clinical variables, correctly identified patients with proliferative nephritis with 91% accuracy. Conclusions: Autoantigen microarrays are an ideal platform for identifying autoantibodies associated with both pSLE and specific clinical manifestations of pSLE. Using multiple regression analysis to integrate autoantibody and clinical data permits accurate prediction of clinical manifestations with complex etiologies in pSLE.
2015-06-10 | GSE69662 | GEO
Project description:Systemic lupus erythematosus (SLE) is a complex autoimmune disease with heterogeneous clinical manifestations and the pathogenesis of SLE is still unclear. Various omics results have been reported for SLE, but the molecular hallmarks of SLE, especially in patients with different disease activity, using an integrated multi-omics approach have not been fully investigated. Here, we collected blood samples from 10 healthy controls (HCs) and 40 SLE patients with different clinical activity including inactive (IA), low activity (LA), and high activity (HA). Using an integrative analysis of proteomic, metabolomic and lipidomic profiles, we report the multi-omics landscape for SLE. The molecular changes suggest that both the complement system and the inflammatory response were activated in SLEs and were associated with disease activity. Additionally, activation of the immunoglobulin mediated immune response were observed in the LA stage of the disease, however this immune response was suppressed slightly in the HA stage. Finally, an imbalance in lipid metabolism, especially in sphingolipid metabolism, accompanied with dysregulated apolipoproteins were observed to contribute to the disease activity of SLE. The multi-omics data presented in this study and the characterization of peripheral blood from SLE patients may thus help provide important clues regarding the pathogenesis of SLE.
2022-03-02 | PXD031979 |
Project description:This study used proteomic, biomechanical, and functional analyses to further define neutrophil heterogeneity in the context of SLE. Mass spectrometry proteomic and phosphoproteomic analyses were performed in healthy control normal density neutrophils (NDNs), SLE NDNs and in autologous SLE LDGs. Proteomic and phosphoproteomic differences were detected when comparing control to SLE neutrophils and when comparing SLE NDNs to SLE LDGs.
2021-11-04 | PXD021096 | Pride
Project description:The diagnosis of Systemic Lupus Erythematosus (SLE) is challenging due to its heterogeneous clinical presentation and lack of robust biomarkers for laboratory testing to distinguish it from other autoimmune or infectious diseases. Current diagnostic criterion relies on a combination of clinical examination and laboratory tests, and it does not readily distinguish between those with active clinical disease from those that are clinically quiescent. Several groups have attempted to apply emerging high throughput profiling technologies to diagnose SLE. Despite showing promising diagnostic potential, many of them are expensive and technically challenging for routine clinical uses. Here we report a pilot study of applying a technically simple and highly customisable leukocyte capture antibody microarray to profile healthy (n=24) and SLE patients (n=60) of various disease activities. Our analysis reveals a set of surface antigen biomarkers that have significant association with SLE. In addition, we present a computational method to calculate a score from the entire microarray profile to obtain a score that correlate most reliably with SLE disease activity. Although the current version of our microarray alone does not match the discriminatory power of the standard laboratory tests (serum dsDNA, complements C3 and C4), the combination of the two yields a test with significantly increased discriminatory ability than what can be achieved individually. This work paves the way for a customised SLE-specific antibody microarray for accurate diagnosis and monitoring of SLE that can be readily translated to routine clinical use. Blood samples were collected from 60 patients of Systemic Lupus Erythematosus (SLE) of different disease activity (11 active, 16 semi-active, and 33 inactive), and compared it with blood samples from 24 healthy blood donors. For each subject, we extracted PBMCs and apply them to a leukocyte capture antibody microarray. The microarray was then scaned by a DotScan™ slide reader (Medsaic; Eveleigh, NSW, Australia). The number of immobilized cells was proportional to the light scattered at each antibody spot. Binding of PBMCs to each antibody dot was monitored by light scatter and averaged between the duplicate spots on each slide. We then performed statistical analysis to identify CD antigen markers that are associated with SLE, as well as determining the potential diagnostic ability of this microarray for SLE.
2013-02-21 | E-GEOD-27293 | biostudies-arrayexpress