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Gene expression pattern of synovial cells from inflammatory and normal areas of osteoarthritis synovial membrane

ABSTRACT: The aim of this study was to compare the gene expression pattern of synovial cells from inflammatory (I) or normal/reactive (N/R) areas of a synovial membrane harvested from the same osteoarthritis (OA) patient. This study is the first to identify different expression pattern between two areas of the synovial membrane in the same patient. These differences concern several key pathways involved in OA pathogenesis (inflammation, cartilage metabolism, Wnt signaling and angiogenesis). This analysis also provides interesting information regarding new potent intermediates as potentiel targets for the future therapeutic.

ORGANISM(S): Homo sapiens

PROVIDER: GSE46750 | GEO | 2013/05/20

SECONDARY ACCESSION(S): PRJNA202240

REPOSITORIES: GEO

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Gene expression pattern of synovial cells from inflammatory and normal areas of osteoarthritis synovial membrane

Project description:The aim of this study was to compare the gene expression pattern of synovial cells from inflammatory (I) or normal/reactive (N/R) areas of a synovial membrane harvested from the same osteoarthritis (OA) patient. This study is the first to identify different expression pattern between two areas of the synovial membrane in the same patient. These differences concern several key pathways involved in OA pathogenesis (inflammation, cartilage metabolism, Wnt signaling and angiogenesis). This analysis also provides interesting information regarding new potent intermediates as potentiel targets for the future therapeutic. Synovial tissues were obtained from 12 knee OA patients at the time of total knee replacement. The inflammatory status of the synovial membrane was characterized according to macroscopic criteria and sorted as N/R and I. Biopsies were cultured separately for 7 days. Microarray gene expression profiling between N/R and I areas was performed.

2013-05-20 | E-GEOD-46750 | biostudies-arrayexpress

Identification of distinct synovial fibroblast subsets associated with pain and progression of knee osteoarthritis using single-cell RNA sequencing

Project description:Synovial inflammation is associated with pain severity in patients with knee osteoarthritis (OA). The aim here was to determine in a population with knee OA, whether synovial tissue from areas associated with pain exhibited different synovial fibroblast subsets, compared to synovial tissue from sites not associated with pain. A further aim was to compare differences between early and end-stage disease synovial fibroblast subsets. Parapatellar synovitis was significantly associated with the pattern of patient-reported pain in knee OA patients. Synovial tissue from sites of patient-reported pain exhibited a differential transcriptomic phenotype, with distinct synovial fibroblast subsets in early OA and end-stage OA. Functional pathway analysis revealed that synovial tissue and fibroblast subsets from painful sites promoted fibrosis, inflammation and the growth and activity of neurons. The secretome of fibroblasts from early OA painful sites induced neurite outgrowth in dorsal root ganglion neurons. Sites of patient-reported pain in knee OA is associated with a different synovial tissue phenotype and distinct synovial fibroblast subsets. Further interrogation of these fibroblast pathotypes will increase our understanding of the role of synovitis in OA joint pain and provide a rationale for the therapeutic targeting of fibroblast subsets to alleviate pain in patients.

2021-10-20 | GSE176308 | GEO

Synovial biopsies of osteoarthritis patients

Project description:Synovial biopsies were obtained from osteoarthritis (OA) synovium to find genes upregulated during OA. The genes upregulated during OA can be used to identify disease characteristic genes. 10 microarrays of end-stage OA synovial biopsies were compared to 7 microarrays of synovial biopsies from individuals without a joint disease. Genes with >1.2-fold upregulation and P<0.05 in OA VS HC were selected from the analysis.

2016-06-02 | E-GEOD-82107 | biostudies-arrayexpress

Identification of synovial fibroblasts subsets associated with pain and progression of knee osteoarthritis

Project description:Background: Synovial inflammation is associated with pain severity in patients with knee osteoarthritis (OA). The aim here was to determine in a population with knee OA, whether synovial tissue from areas associated with pain exhibited different synovial fibroblast transcriptomes, compared to synovial tissue from sites not associated with pain. A further aim was to compare differences between early and end-stage disease synovial fibroblasts. Methods: Patients with early knee OA (n=29) and end-stage knee OA (n=22) were recruited. Patient reported pain was recorded by questionnaire and using an anatomical knee pain map. Proton density fat suppressed MRI axial and sagittal sequences were analysed and scored for synovitis. Synovial tissue was obtained from the medial and lateral parapatellar and suprapatellar sites. RNA sequencing was performed using Illumina’s NextSeq 500 and analysed with Galaxy web platform, usegalaxy.org, and Qlucore software. Transcriptomes were functionally characterised using Ingenuity Pathway Analysis. Findings: Parapatellar synovitis was significantly associated with increased OA pain perception. Functional pathway analysis revealed that early OA painful sites mediate immune cell recruitment and promote the formation and development of neurites. Conclusion: OA disease progression and the presence of pain in early OA is associated with different synovial pathotypes. Further interrogation of these pathotypes will increase our understanding of the role of synovitis in OA joint pain and provide a rationale for the therapeutic targeting to alleviate pain in patients.

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Synovial biopsies of osteoarthritis patients

2016-06-02 | GSE82107 | GEO

Interleukin-17A causes osteoarthritis-like transcriptional changes in human osteoarthritis-derived chondrocytes and synovial fibroblasts in vitro

Project description:Increased interleukin (IL)-17A has been identified in joints affected by osteoarthritis (OA), but it is unclear how IL-17A, and its family members IL-17AF and IL-17F, can contribute to human OA pathophysiology. Therefore, we aimed to evaluate the gene expression and signalling pathway activation effects of the different IL-17 family members in chondrocytes and fibroblasts derived from cartilage and synovium of patients with end-stage knee OA. Chondrocytes and synovial fibroblasts derived from end-stage OA patients were treated with IL-17A, IL-17AF, or IL-17F, and gene expression was assessed with bulk RNA-Seq. Hallmark pathway analysis showed that IL-17 cytokines regulated several OA pathophysiology-related pathways including immune-, angiogenesis-, and complement-pathways in both chondrocytes and synovial fibroblasts derived from end-stage OA patients. While overall IL-17A induced the strongest transcriptional response, followed by IL-17AF and IL-17F, not all genes followed this pattern. Disease-Gene Network analysis revealed that IL-17A-related changes in gene expression in these cells are associated with experimental arthritis, knee arthritis, and musculoskeletal disease gene-sets. In conclusion, the association of IL-17-induced transcriptional changes with arthritic gene-sets supports a role for IL-17A in OA pathophysiology.

2021-06-02 | GSE171952 | GEO

RNA-sequencing of highly pure synovial tissue macrophages reveals two distinct osteoarthritis subgroups that indicate different disease mechanisms.

Project description:Osteoarthritis (OA) is a leading cause of disability globally. Despite an emerging role for synovial inflammation in OA pathogenesis, attempts to target inflammation therapeutically have had limited success. A better understanding of the cellular and molecular processes occurring in the OA synovium is needed to develop novel therapeutic strategies. Here, we contrasted mononuclear phagocytes and T cells in the synovial tissue of OA patients and inflammatory-arthritis (IA) patients. Compared to IA, OA synovial tissue contained fewer CD45+ leukocytes, consisting mostly of macrophages. Macrophages in OA synovial tissues displayed activated phenotypes shown by expression of proteins folate-receptor-2 and CD86. Macrophage phenotype, proliferation characteristics and transcriptome profile by RNA-sequencing distinguished two subtypes of patients within OA. One subgroup was more similar to IA - ‘inflammatory-like OA’ (iOA), and another non-inflammatory/mechanical, subgroup distinct from IA - ‘classical OA’ (cOA). Gene Ontology (GO) pathway analysis revealed that the iOA subgroup is characterised by a cell proliferation signature, whereas the cOA subgroup is defined by cartilage remodelling features. Furthermore, iOA synovial tissue contained higher proportions of macrophages, expressing higher levels of the proliferation marker Ki-67, as compared to cOA synovial tissue. The identification of these two distinct OA subtypes provides new insight into the heterogeneity of OA at the synovial tissue level, and suggests distinct cellular mechanisms in disease pathogenesis. Our findings could lead to the stratification of OA patients for suitable disease-modifying treatments, and the identification of novel therapeutic targets.

2019-10-24 | GSE123492 | GEO

miRNA sequencing of synovial fluid derived extracellular vesicles between normal and osteoarthritis (OA) patients

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2019-02-18 | GSE126677 | GEO

Transcription profiling of human synovial fibroblasts from rheumatoid arthritis and osteoarthritis patients

Project description:mRNA expression levels in synovial fibroblasts in 6 rheumatoid arthritis patients versus 6 osteoarthritis patients. Experiment Overall Design: Synovial tissue was obtained from open joint replacement surgery or Experiment Overall Design: arthroscopic synovectomy. Patients with RA or OA (n = 6 each for gene expression analysis and further patients for validation experiments) were classified according to the ACR criteria.

2009-04-28 | E-GEOD-7669 | biostudies-arrayexpress

Synovial fibroblasts from obese hip osteoarthritis patients exhibit distinct single-cell subsets characterised by pathological inflammatory functions

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2020-10-31 | GSE152815 | GEO

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