Proteinase-mediated macrophage signalling in psoriatic arthritis
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ABSTRACT: To identify the cell populations in synovial fluid (SF) from psoriatic arthritis (PsA) patients, single cell 3’-RNA-sequencing of cells from PsA SF samples (n=3) was performed using the 10X Genomics platform. Twelve main clusters of cells were predicted and the most abundant clusters had a predominance of monocytes/macrophages gene expression patterns.
Project description:Characterize active synovial fluid (SF) serine proteinases in psoriatic arthritis (PsA) in comparison to osteoarthritis (OA) and rheumatoid arthritis (RA)
Project description:This study shows the pronounced expansion of CD8 T cell clones at sites of active inflammation within the joints of psoriatic arthritis (PsA) patients compared to blood, and characterises the gene expression of expanded clones using droplet based single cell RNA sequencing. Mononuclear cells were separated from freshly acquired paired peripheral blood and synovial fluid samples from 3 PsA patients using density gradient separation, then enriched for CD4 and CD8 T cells using FACS. Additionally, CD45+ leukocytes were enriched by FACS from the cryopreserved synovial tissue of 2 further PsA patients. All cells were then processed using a 10x Chromium Controller and sequenced by Illumina HiSeq 4000 (peripheral blood / synovial fluid) or NovaSeq with S2 flowcell (synovial tissue).
Project description:Gene expression profiles of synovial biopsies and peripheral blood cells from Psoriatic Arthritis were compared to gene expression profiles of synovial samples and peripheral blood cells from healthy subjects.
Project description:We report changes in gene expression in human peripheral blood neutrophils from patients with psoriatic arthritis (PsA) before and 12-weeks after treatment with Secukinumab (SKB, 150mg). All patients achieved a good PSARC (Psoriatic Arthritis Response Criteria) and PASI 90 (Psoriasis Area and Severity Index) response to treatment. We also report gene expression in healthy control neutrophils compared to patients wth psoriatic arthritis.
Project description:CD69+CD103+ tissue-resident memory T-cells (TRM) are increasingly recognised as important drivers of inflammation. To decipher their potential role in inflammatory arthritis, we applied single cell, high-dimensional profiling (CyTOF and scRNAseq) to T-cells isolated from the joint of patients with psoriatic arthritis (PsA) or rheumatoid arthritis (RA). We identified three broad groups of synovial CD8+ TRM cells: cytotoxic and Treg-like TRM cells were present in the inflamed joints of patients with both PsA and RA, while CD161+CXCR6+ type 17-like TRM cells with a pro-inflammatory cytokine profile (IL-17A+TNFa+IFNg+) and a distinct transcriptomic signature and a polyclonal, but distinct TCR repertoire, were specifically enriched in the inflamed joints of patients with PsA. Type 17-like cells were also enriched in non-TRM CD8+ T-cells in PsA compared to RA. These findings add substantively to the accumulating evidence that the immunopathology of PsA and RA is different, with a particular role for type 17 cells in PsA.
Project description:An integrated discovery to targeted proteomics approach was used to investigate the protein profiles of good and non–responders to anti-TNF-alpha and T-cell inhibitor treatments in PsA patients. Reverse phase liquid chromatography coupled to tandem mass spectrometry was used to generate protein profiles of synovial tissue obtained at baseline from 10 PsA patients who then commenced anti-TNF-alpha therapy (adalimumab). Targeted proteomics using multiple reaction monitoring was used to confirm and pre-validate a potential protein biomarker panel in 18 and 7 PsA patient samples respectively.
Project description:Psoriatic arthritis (PsA) is a chronic inflammatory joint disease, and the diagnosis is quite difficult due to the unavailability of reliable clinical markers. This study aimed to investigate the fecal metabolites in PsA by comparison with rheumatoid arthritis (RA), and to identify potential diagnostic biomarkers for PsA. The metabolic profiles of the fecal samples from 27 PsA and 29 RA patients as well as 36 healthy controls (HCs) were performed on ultra-high-performance liquid chromatography coupled with hybrid triple quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS). And differentially altered metabolites were screened and assessed using multivariate analysis for exploring the potential biomarkers of PsA. The results showed that 154 fecal metabolites were significantly altered in PsA patients when compared with HCs, and 45 metabolites were different when compared with RA patients. A total of 14 common differential metabolites could be defined as candidate biomarkers. Furthermore, a support vector machines (SVM) model was performed to distinguish PsA from RA patients and HCs, and 5 fecal metabolites, including α/β-turmerone, glycerol 1-hexadecanoate, dihydrosphingosine, pantothenic acid and glutamine, were determined as biomarkers for PsA. Through the metabolic pathways analysis, we found that the abnormality of amino acid metabolism, bile acid metabolism and lipid metabolism might contribute to the occurrence and development of PsA. In summary, our research provided ideas for the early diagnosis and treatment of PsA by identifying fecal biomarkers and analyzing metabolic pathways.