Investigation of MicroRNA Biomarkers in Equine Distal Interphalangeal Joint Osteoarthritis
Ontology highlight
ABSTRACT:
ORGANISM(S): Equus caballus
PROVIDER: GSE205409 | GEO | 2023/01/30
REPOSITORIES: GEO
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Project description:We studied extracellular vesicles (EVs) from plasma and synovial fluid in an in vivo model of equine osteoarthritis by investigating longitudinal samples. EVs were isolated using size exclusion chromatography from plasma and synovial fluid of four horses subjected to an osteochondral fragment model of osteoarthritis at 0, 10, 35, 42, 49, 56, 63 days with relevant controls.EV RNA was extracted and subject to small RNA sequencing on an Illumina NovaSeq SP using 100bp, single end reads. After mapping against EquCab.3.0 and miRBase v22.1 differential expression analysis was undertaken with edgeRv3.28 using a quasi-likelihood negative binomial generalized log-linear model. We identified a panel of altered small non-coding RNAs.
2023-12-31 | GSE195807 | GEO
Project description:Small RNA isolated from synovial fluid of the metacarpophalangeal joints of horses. Horses either had minimal signs of osteoarthritis based on macroscopic and microscopic joint scoring or early (mild) osteoarthritis. Differential expression of small non-coding RNAs was undertaken.
2020-06-30 | E-MTAB-8409 | biostudies-arrayexpress
Project description:Small non-coding RNAs in early equine osteoarthritis synovial fluid
| PRJEB34747 | ENA
Project description:Osteoarthritis (OA) is the most common equine joint disease characterised by cartilage degradation and changes to other joint tissues severely effecting welfare and performance leading to early retirement. It results in substantial morbidity and mortality, but our understanding of the pathophysiological mechanisms involved is limited. There are no disease modifying therapeutics available, with OA medication offering symptomatic relief only. Early diagnosis is thus important, as substantial joint pathology is usually present at the time of clinical diagnosis. Thus, biomarkers of early-stage OA are actively sought, and among these, extracellular vesicles (EVs) are emerging as potential candidates. Here we use a SWATH MS approach to profile the protein cargo of EVs derived from equine plasma and synovial fluid.
2023-10-24 | PXD041515 | Pride
Project description:Equine Osteoarthritis (OA) is a heterogeneous, degenerative disease of the musculoskeletal system with multifactorial causation, characterised by joint metabolic imbalance. Mesenchymal stromal cell therapy (MSC) is a form of regenerative medicine that utilises MSC properties to repair damaged tissues. MSCs have been described as acting via the paracrine signalling of secreted factors. Despite its wide use in veterinary clinical practices, the exact mechanism of action of MSCs has not been fully characterised. Here, we have characterised synovial fluid extracellular vesicles (EVs) from control, osteoarthritic and MSC treated animals in order to gain insights into this mechanism. An in vivo, carpal osteochondral fragment model of equine OA was used for this study. Six horses underwent surgical intervention. All horses enrolled in the study were female trotter horses between the ages of 4 and 7. The contralateral limb of each horse served as a sham control. 69 synovial fluid samples were collected via aseptic arthrocentesis at day 0, 18, 21, 28, 35, and 70. Allogenic mesenchymal stromal cell therapy from male donors was injected into the OA afflicted joint after day 18. Synovial fluid (200µl) was Hyalaronidase treated (1µg/ml) and EVs were isolated using differential ultracentrifugation. EVs were characterised in collaboration with Nanoview Biosciences, whereby the Exoview human tetraspanin assay was used. EV concentration, surface marker identification, fluorescent microscopy and tetraspanin colocalization analysis was performed using pooled samples reflecting experimental groups - control, OA and OA including MSCs - across time.
2023-03-11 | PXD035303 | Pride
Project description:Objective: To quantify gene expression changes in the synovium of osteoarthritis-affected joints in an equine metacarpophalangeal joint (MCPJ) chip model specifically designed to recapitulate early post-traumatic osteoarthritis (PTOA). Design: Synovial samples were collected arthroscopically from the MCPJ of 11 adult horses before (pre-OA) and after (OA) surgical induction of osteoarthritis and from sham-operated joints. Briefly, in this model, an osteochondral fragment is created in one randomly chosen MCPJ at the proximal dorsomedial aspect of the first phalanx. The fragment is replaced in the fragment bed after creation so that subchondral bone is not exposed to the opposing cartilage surface. The opposite MCPJ is sham-operated. After a two week recover period, the horses are treadmill-exercised for 14 weeks and then the osteochondral fragment is removed (16 weeks after creation). Synovial tissue samples were collected arthroscopically from the MCPJ of eleven adult horses before (pre-OA) and 16 weeks after (OA) experimental induction of OA as well as from the sham-operated joints (sham). After sequencing of synovial RNA, Salmon was used to quasi-map reads to the reference genome and quantify transcript abundances. Differential expression analysis was performed with the limma-treat method using a fold-change cutoff of 1.1. Functional annotation was performed with PANTHER and Reactome at FDR < 0.05. Results: RNA was successfully extracted from 28 samples (6 pre-OA, 11 OA, 11 sham). Sequencing yielded 15.7-29.4 million paired-end reads per sample. “Sham” and “pre-OA” were not different and were grouped. 321 genes were upregulated and 351 genes were downregulated in OA synovium compared to unaffected. Gene ontology (GO) terms related to extracellular matrix (ECM) organization and growth factor binding were overrepresented among differentially expressed genes. There were 20 significantly enriched pathways; these included pathways involved in ECM turnover, O-glycosylation of TSR domain-containing proteins, and growth factor signaling. Conclusions: Most enriched pathways and overrepresented GO terms reflect a state of high metabolic activity and tissue turnover in OA-affected tissue, suggesting efforts at healing and restoring homeostasis. Limitations of this study include a small sample size and capture of a single point post-injury. Differentially expressed genes falling within key pathways may represent potential diagnostic markers or therapeutic targets for PTOA.
2020-12-09 | GSE144031 | GEO
Project description:Proteoglycan 4 (PRG4) is an extracellular matrix protein that maintains homeostasis through its boundary lubricating and anti-inflammatory properties. Altered expression and function of PRG4 have been associated with joint inflammatory diseases, including osteoarthritis (OA). We found that mast cell tryptase cleaves PRG4 in a dose- and time-dependent manner, which was confirmed by silver stain gel electrophoresis and mass spectrometry. Tryptase-treated PRG4 resulted in a reduction of lubrication. Compared to full-length, processed PRG4 was shown to further activate NF-B expression in cells overexpressing TLR2, -4, and -5. In the destabilization of the medial meniscus (DMM) model of OA in rat, tryptase and PRG4 colocalized at the site of injury in knee cartilage and were associated with disease severity. Primary synovial fibroblasts from OA patients or healthy subjects treated with tryptase and/or PRG4, and synovial cells from OA patients, were subjected to a quantitative shotgun proteomics and proteome changes were characterized, further supporting the role of NF-B activation. We identified tryptase as a modulator of joint lubrication via the processing of PRG4 in OA.
2023-03-04 | PXD037040 | Pride
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.
2011-11-01 | GSE32317 | GEO
Project description:Osteoarthritis (OA), osteochondrosis (OC), and synovial sepsis in horses cause loss of function and pain. Reliable biomarkers are required to achieve accurate and rapid diagnosis, with synovial fluid (SF) holding a unique source of biochemical information. Nuclear magnetic resonance (NMR) spectroscopy allows global metabolite analysis of a small volume of SF, with minimal sample preprocessing using a noninvasive and nondestructive method. Equine SF metabolic profiles from both nonseptic joints (OA and OC) and septic joints were analyzed using 1D 1H NMR spectroscopy. Univariate and multivariate statistical analyses were used to identify differential metabolite abundance between groups. Metabolites were annotated via 1H NMR using 1D NMR identification software Chenomx, with identities confirmed using 1D 1H and 2D 1H 13C NMR. Multivariate analysis identified separation between septic and nonseptic groups. Acetate, alanine, citrate, creatine phosphate, creatinine, glucose, glutamate, glutamine, glycine, phenylalanine, pyruvate, and valine were higher in the nonseptic group, while glycylproline was higher in sepsis. Multivariate separation was primarily driven by glucose; however, partial-least-squares discriminant analysis plots with glucose excluded demonstrated the remaining metabolites were still able to discriminate the groups. This study demonstrates that a panel of synovial metabolites can distinguish between septic and nonseptic equine SF, with glucose the principal discriminator.
2018-07-20 | MTBLS543 | MetaboLights
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