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Tensile strain and altered synovial tissue metabolism in human knee osteoarthritis

ABSTRACT: Tensile strain and altered synovial tissue metabolism in human knee osteoarthritis

PROVIDER: PRJNA844073 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR19457500_1.fastq.gz	Fastqsanger.gz
	SRR19457500_2.fastq.gz	Fastqsanger.gz
	SRR19457501_1.fastq.gz	Fastqsanger.gz
	SRR19457501_2.fastq.gz	Fastqsanger.gz
	SRR19457502_1.fastq.gz	Fastqsanger.gz

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Tensile strain and altered synovial tissue metabolism in human knee osteoarthritis

Project description:To investigate the physiologic responses of whole osteoarthritic synovium to cycle tensile strain. We obtained 3 matched synovial tissue samples from 6 patients undergoing total knee arthroplasty, subjected them to cyclic tensile strain, and then performed gene expression profiling analysis using RNA seq from each cyclic tensile strain protocol.

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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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Project description:Osteoarthritis is characterized by degeneration of cartilage and bone in the synovial joints. Recent findings suggest that inflammation may play a role in osteoarthritis, with synovitis being associated with the clinical symptoms of osteoarthritis. Furthermore, we have found that levels of inflammatory complement components are abnormally high in the synovial fluid of individuals with osteoarthritis. To determine whether synovial membranes could be a source of complement and other inflammatory molecules in osteoarthritic joints, we characterized the expression of genes in synovial membranes from patients with early-stage or end-stage osteoarthritis. Samples of synovial membrane were obtained from the suprapatellar pouch of patients with osteoarthritis who were treated at the Hospital for Special Surgery. Specifically, samples were from 10 patients with early-stage knee osteoarthritis who were undergoing arthroscopic procedures for degenerative meniscal tears (with documented cartilage degeneration but no full-thickness cartilage loss, Kellgren Lawrence score </=2), and from 9 patients with end-stage knee osteoarthritis ( diffuse full thickness cartilage erosion) who were undergoing total knee joint replacement. Raw data from microarray analysis of healthy synovial membranes, which were run on the same platform and array as our osteoarthritic samples, were downloaded from the NCBI Gene Expression Omnibus (accession number GSE12021) and used for comparison. The 19 new Samples of this Series were analyzed (RMA) together with 7 previously submitted healthy individual Samples (GSM175810, GSM175812, GSM176290, GSM176291, GSM176292, GSM176268, GSM176269). The complete RMA data are provided as a supplementary file on the Series record. The GSE12021 reanalyzed data are also provided as a supplementary file on the Series record. GSE32317_12genes.txt includes data from figure 1 of the paper.

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