Project description:The aim of this work is to apply an integrated systems approach to understand the biological underpinnings of hip osteoarthritis that culminates in the need for total joint replacement (TJR). This study is a feasibility pilot that integrates functional genomics data from diseased and non-diseased tissues of OA patients who have undergone TJR. For each tissue, we characterised epigenetic marks (methylation), gene transcription (RNASeq) and expression (quantitative proteomics). We also generated genotype data on the HumanCoreExome array for each individual. This data is part of a pre-publication release.
Project description:Osteoarthritis (OA) is a degenerative joint disease with a substantial health economic burden. There is no current treatment; instead, disease management targets the main symptoms (pain and stiffness) and culminates in joint replacement surgery. OA is a disease of cartilage degeneration, but the molecular changes leading to the development of OA are still poorly understood. In this study we compare methylation, gene transcription and protein abundance at the genome-wide level in individually-matched samples of chondrocytes extracted from affected and relatively healthy articular cartilage across 12 OA patients undergoing total knee replacement. Integration analysis highlights genes that are consistently affected at multiple levels, including AQP1, CLEC3B and COL1A1, and also relevant biological pathways such as extracellular matrix organization, collagen catabolism and proteolysis. Collectively these results provide a first view of the comprehensive molecular landscape underpinning OA development and point to potential therapeutic avenues.
Project description:Large scale RNA-Seq analysis was performed to investigate the transcriptomic response to osteoarthritis in cartilage and investigate potential subgroups of patients. Data were collected from intact knee cartilage (posterior lateral condyle) from at total of 60 patients with osteoarthritis (OA) following total knee replacement and 10 control non-OA patients following amputation.
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.
Project description:A Comprehensive Proteomics Analysis of Blood Sera from Patients of Osteoarthritis-Comparative Study before and after Total Joint Replacement Surgery
Project description:The aim of this work is to apply an integrated systems approach to understand the biological underpinnings of knee osteoarthritis that culminates in the need for total joint replacement (TJR). This study is a feasibility pilot that integrates functional genomics data from diseased and non-diseased tissues of OA patients who have undergone TJR. For each tissue, we characterised epigenetic marks (methylation), gene transcription (RNASeq) and expression (quantitative proteomics). We also generated genotype data on the HumanCoreExome array for each individual.
Project description:Cartilage samples were collected from hip or knee joint replacement patients either due to primary OA or hip fractures as controls. DNA was extracted from the collected cartilage and assayed by Illumina Infinium HumanMethylation450 BeadChip array, which allows for the analysis of >480,000 CpG sites.