Project description:The gole of this study was to determine whether circulaitng miRNAs could be used as candidate miRNAs of SLE . In this study a miRNA profile was used to determine aberrant expressed circulating miRNAs in patients with system lupus erythematosus (SLE), compared with rheumatoid arthritis (RA) and healthy control (HCs). To further confirm these microarray data, we identify 8 miRNAs (miR-126, miR-21, miR-451, miR-223, miR-16, miR-125a-3p,miR-155,miR-146a) by real-time quantitative PCR in 20 healthy controls and in 55 cases, of whom 30 were diagnosed with SLE and 25 were diagnosed RA. Using microarray-based expression profiling follwed by real-time quantitative polymerase Cycle Reaction (RT-qPCR)validation, we compared the levels of circulating miRNAs in plasma sample from SLE patients, RA patients, and healthy controls
Project description:To find regulated miRNAs during peak inflammation of rheumatoid arthritis (RA), we have collected synovium from mouse STA model at day 0 (Non Arthritic) and day 10 (Peak Inflammation). For miRNA profiling, we used high-throughput BioMark Real-Time PCR system (Fluidigm, South San Francisco, CA)
Project description:The gole of this study was to determine whether circulaitng miRNAs could be used as candidate miRNAs of SLE . In this study a miRNA profile was used to determine aberrant expressed circulating miRNAs in patients with system lupus erythematosus (SLE), compared with rheumatoid arthritis (RA) and healthy control (HCs). To further confirm these microarray data, we identify 8 miRNAs (miR-126, miR-21, miR-451, miR-223, miR-16, miR-125a-3p,miR-155,miR-146a) by real-time quantitative PCR in 20 healthy controls and in 55 cases, of whom 30 were diagnosed with SLE and 25 were diagnosed RA.
Project description:RNA was isolated from 200μl plasma samples and cDNA was synthesized. Real-time RT-PCR analysis was performed to evaluate miRNA expression in the plasma pool from 17 RA patients with RA-ILD or the plasma pool from 17 RA patients without ILD using Human miRNome microRNA PCR Panel I+II (Exiqon).
Project description:Aims: Differential expression profiles of microRNAs (miRNAs) are associated with autoimmune diseases. This study sought to elucidate the plasma exosomal miRNA expression profiles of patients with rheumatoid arthritis (RA) and their potential clinical significance. Methods: In the screening phase, small RNA sequencing was performed to characterize dysregulated exosome-derived miRNAs in the plasma samples from six RA patients and six healthy controls. In the independent validation phase, the candidate plasma exosomal miRNAs were verified in 40 RA patients and 32 healthy controls using quantitative real-time PCR. The association of miRNA levels with clinical characteristics in RA patients was tested. The value of these miRNAs in diagnosing RA was assessed with the receiver operating characteristic curve. Results: Totally 177 and 129 miRNAs were upregulated and downregulated, respectively in RA patients versus healthy controls in the screening phase. There were 10 candidate plasma exosomal miRNAs selected for the next identification. Compared with the healthy controls, eight plasma exosomal miRNAs (let-7a-5p, let-7b-5p, let-7d-5p, let-7f-5p, let-7g-5p, let-7i-5p, miR-128-3p, and miR-25-3p) were significantly elevated in RA patients, but miR-144-3p and miR-15a-5p expression exhibited no significant changes. The let-7a-5p and miR-25-3p levels were associated with rheumatoid factor-positive phenotype in RA patients. For the eight miRNAs, the area under the receiver operating characteristic curve (AUC) ranged from 0.641 to 0.843, and their combination had a high diagnostic accuracy for RA (AUC = 0.916). Conclusions: Our study illustrates that novel exosomal miRNAs in the plasma may represent potential noninvasive biomarkers for RA.
Project description:This experiment investigates differences in expression of circulating miRNAs between responders and non-responders to treatment of rheumatoid arthritis with allogeneic adipose-derived mesenchymal stem cells. The ability to stratify patients based on their response to treatment has been transformational in a number of disease areas, and it is anticipated that this will also be the case for cell-based therapies. In line with this, the goal of this study was to identify miRNA biomarkers that could be used to predict response to treatment of rheumatoid arthritis with allogeneic adipose-derived mesenchymal stem cells. Promising candidates from the microarrays were validated with quantitative reverse transcriptase PCR.
