Project description:Introduction: MicroRNAs (miRNAs) in circulation have emerged as promising biomarkers. In this study we aimed to identify a circulating miRNA signature for osteoarthritis (OA) patients. Methods: Serum samples were collected from 12 primary OA patients and 12 healthy individuals and were screened using the Agilent Human miRNA Microarray. Receiver Operating Characteristic (ROC) curves were constructed to evaluate the diagnostic performance of the deregulated miRNAs. Expression levels of selected miRNAs were validated by quantitative Real-time PCR (qRT-PCR) in all serum samples and in articular cartilage samples from OA patients (n=12) and healthy individuals (n=7). Bioinformatics analysis was used to investigate the involved pathways and target genes of the above miRNAs. Results: We identified 279 differentially expressed miRNAs in the serum of OA patients compared to healthy controls. 205 (73.5%) were up-regulated and 74 (26.5%) down-regulated. ROC analysis revealed that 77 miRNAs had area under the curve (AUC)> 0.8 and p<0.05. Bioinformatics analysis in 7 out of the 77 selected miRNAs (hsa-miR-33b-3p, hsa-miR-4284, hsa-miR-671-3p, hsa-miR-663a, hsa-miR-140-3p, hsa-miR-150-5p and hsa-miR-1233-3p) revealed that their target genes were involved in multiple signaling pathways, among which FOXO, mTOR, pI3K/akt, lipid metabolism and TGF-β. A serum miRNA signature including three down-regulated miRNAs (hsa-miR-33b-3p, hsa-miR-671-3p and hsa-miR-140-3p) were also verified by qRT-PCR in OA patients. Furthermore, we found that hsa-miR-140-3p, hsa-miR-671-3p and potentially hsa-miR-33b-3p expression levels were consistently down-regulated in articular cartilage of OA patients compared to healthy individuals. Conclusions: A global miRNA serum signature was revealed in OA patients. We identified a three- miRNA signature in peripheral serum which could be potential osteoarthritis biomarkers.
Project description:We compared the circulating microRNA expression profiles of KBD, osteoarthritis (OA), rheumatoid arthritis (RA) and healthy controls. Blood specimens were collected from 3 KBD patients, 3 OA patients, 3 RA patients and 3 healthy controls. miRNAs expression profiling was performed using Exiqon miRCURY LNATM miRNAs Array.
Project description:OBJECTIVE: MicroRNAs act locally and systemically to impact osteoarthritis pathophysiology, but comprehensive profiling of the circulating miRNome in early versus late stages of osteoarthritis has yet to be conducted. Our objective was to sequence the plasma miRNome from 91 patients with early [Kellgren-Lawrence grade 0 or 1 (n=41)] or late [Kellgren-Lawrence grade 3 or 4 (n=50)] symptomatic radiographic knee osteoarthritis to identify unique microRNA signatures in each disease state. MicroRNA libraries were prepared using the QIAseq miRNA Library Kit and sequenced on the Illumina NextSeq550. Counts were produced for microRNAs captured in miRBase and for novel microRNAs.
Project description:The purpose of this study was to identify potential serum microRNA (miRNA) biomarkers of cartilage degeneration comparing preclinical mouse models of post-traumatic osteoarthritis and inflammatory arthritis.
Project description:Identify differentially expressed microRNAs in mild and severe equine distal interphalangeal joint osteoarthritis plasma and synovial fluid samples Determine the effects of selected osteoarthritis-related miRNAs on equine chondrocytes in monolayer culture through the application of miRNA agomirs and antagomirs
Project description:Circulating miRNAs are an emerging class of biomarkers correlating their specific expression patterns to disease states. A considerable proportion of hematopoietically-derived miRNAs are present in plasma with the ability to confound the signature of true circulating miRNA species. We use microarray analysis to catalogue a list of 313 haemotopoetic miRNAs and analyze expression profiles of cell-free miRNAs in individual plasma fractions after calibraiting for cellular miRNA signals. Comprehensive global maps of bona fide circulating miRNA species are presented, and inter-individual varibility and gender-specific expession is explored in populations of healthy individuals. Supernatant 1 (S1) fractions from 8 male and 10 female individuals.