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Non-coding RNAs in equine synovial fluid

ABSTRACT: Identification and characterisation of temporal abundance of small non-coding RNAs in synovial fluid from an experimental equine model of osteoarthritis

PROVIDER: PRJEB91727 | ENA |

REPOSITORIES: ENA

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Small non-coding RNAs in extracellular vesicles derived from equine synovial fluid and plasma in a model of equine osteoarthritis

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.

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Small non-coding RNAs in early equine osteoarthritis synovial fluid

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.

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Small non-coding RNAs in early equine osteoarthritis synovial fluid

Project description:Small non-coding RNAs in early equine osteoarthritis synovial fluid

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Equine synovial fluid

Project description:The aim of the study was to characterise the protein complement of synovial fluid (SF) in health and osteoarthritis (OA) using liquid chromatography mass spectrometry (LC-MS/MS) following peptide-based depletion of high abundance proteins. SF was used from nine normal and nine OA Thoroughbred horses. Samples were analysed with LC-MS/MS using a NanoAcquity™ LC coupled to a LTQ Orbitrap Velos. In order to enrich the lower-abundance protein fractions protein equalisation was first undertaken using ProteoMiner™. Progenesis-QI™ LC-MS software was used for label-free quantification. In addition immunohistochemistry, western blotting and mRNA expression analysis was undertaken on selected joint tissues.The number of protein identifications was increased by 33% in the Proteominer™ treated SF compared to undepleted SF. A total of 754 proteins were identified in SF. A subset of 10 proteins were identified which were differentially expressed in OA SF. S100-A10, a calcium binding protein was upregulated in OA and validated with western blotting and immunohistochemistry. Several new OA specific peptide fragments (neopeptides) were identified.The protein equalisation method compressed the dynamic range of the synovial proteins identifying the most comprehensive SF proteome to date. A number of proteins were identified for the first time in SF which may be involved in the pathogenesis of OA. We identified a distinct set of proteins and neopeptides that may act as potential biomarkers to distinguish between normal and OA joints.

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Multiomic temporal landscape of plasma and synovial fluid derived extracellular vesicles using an experimental model of equine osteoarthritis

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.

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Small non-coding RNAs in extracellular vesicles derived from equine synovial fluid and plasma in a model of equine osteoarthritis

Project description:Small non-coding RNAs in extracellular vesicles derived from equine synovial fluid and plasma in a model of equine osteoarthritis

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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

human synovial fluid

Project description:human synovial fluid Metagenome

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

Project description:To determine whether extracellular vesicles were also present in human disease, we isolated and evaluated extracellular vesicles from synovial fluid from normal and OA patients at relatively advanced ages (70 - 80 years). Here we report the altered expression of synovial fluid extracellular vesicles-derived miRNAs in osteoarthritis compared to normal patients with age-relate degeneration to investigate potential biomarkers for OA diagnosis. The OA donors had clinical evidence of OA based on pain that led to total joint arthroplasty.

2019-02-18 | GSE126677 | GEO

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