Project description:Abstract: Background: MiRNA signatures in human sera have been reported for various tumor diseases. Here we generated miRNA profiles analyzing 1205 mature miRNA transcripts of serum samples of Wilms tumor patients, taken prior and after chemotherapy according to SIOP protocol 2001. Using a feature subset selection filter approach we identified a minimal number of miRNAs with a maximum contribution for the classification between treated and untreated patients and between patients and controls. Results: Analyzing 1205 mature miRNAs, we separated controls and Wilms tumor patients prior chemotherapy with an accuracy of 0.81. We obtained a similar accuracy (0.82) for the separation between controls and sera of Wilms tumor patients after preoperative chemotherapy. We identified 23 miRNAs that were differentially expressed in both comparisons. Subset selection improved the overall classification accuracy between controls and Wilms tumor patients prior and after chemotherapy to 0.94 and 0.91, respectively. Subset selection also allowed separating between Wilms tumor patients prior and after chemotherapy with an accuracy of 0.98. Conclusion: Our analysis identified serum based miRNA signatures that allowed separating between controls, untreated Wilms tumor patients, and Wilms tumor patients after chemotherapy with high accuracy for each of these comparisons.
Project description:RNA was isolated from serum of pateints with PAS, CC and healthy controls. Global microRNA profiling was done using miRNome microRNA Profiler QuantiMir Human PCR Array (#RA660A-1, version 15; BioCat, Heidelberg, Germany) miRNA arrays were performed on pooled RNA samples from six patients for PSC and CC each and a comparison was performed to healthy control patients. MiRNAs with Ct value above 32 were discarded.
Project description:COPD is a heterogeneous condition without effective disease modifying therapies. Identification of novel inflammatory endotype markers such as extracellular vesicles (EVs), which are important intercellular messengers carrying microRNA (miRNA), may enable earlier diagnosis and disease stratification for a targeted treatment approach. Our aim was to identify differentially expressed EV miRNA in the lungs of COPD patients compared with healthy ex-smokers and determine whether they can help define inflammatory COPD endotypes. EV miRNA were isolated and sequenced from ex-smoking COPD patients and healthy ex-smoker bronchoalveolar lavage fluid. Results were validated with RT-qPCR and compared to differential inflammatory cell counts. Differential expression analysis identified five upregulated miRNA in COPD (miR-223-3p, miR-2110, miR-182-5p, miR-200b-5p and miR-625-3p) and three downregulated miRNA (miR-138-5p, miR-338-3p and miR-204-5p), all with a log2 fold change of >1/-1, FDR<0.05. These miRNAs correlated with disease defining characteristics such as FEF 25-75% (a small airways disease measure) and DLCO % (a surrogate measure of emphysema). Receiver operator curve analysis demonstrated miR-2110, miR-223-3p and miR-182-5p showed excellent combinatory predictive ability (AUC 0.91, p<0.0001) in differentiating between health and mild COPD. Furthermore, miR-223-3p and miR-338-3p correlated with airway eosinophilia and were able to distinguish “pure eosinophilic” COPD from other airway inflammatory subtypes (AUC 0.94 and 0.85 respectively). This is the first study to identify differentially expressed miRNA in COPD bronchoalveolar lavage fluid EVs. These findings suggest specific lung derived EV miRNA are a strong predictor of disease presence even in mild COPD. Furthermore, specific miRNA correlated with inflammatory cell numbers in COPD, and may have a role in defining inflammatory endotypes for future treatment stratification.
Project description:Total RNA was extracted from 400 ul of serum with the miRNeasy Serum/Plasma advanced Kit (Qiagen) and quantified using the Qubit microRNA assay kit (Thermo Fisher Scientific). cDNA templates were prepared using the TaqMan Advanced miRNA cDNA Synthesis Kit (Thermo Fisher Scientific), starting from 10 ng of RNA. RT-qPCR carried out on a QuantStudio 12K Flex (Applied Biosystems) using the TaqMan OpenArray miRNA panel.
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:Synovial sarcomas account for approximately 10% of all soft-tissue tumors and occur most frequently in young adults. A specific translocation in this sarcoma induces fusion of the SYT gene on chromosome 18 to the SSX genes on chromosome X, leading to proliferation of the tumor cells. The need for non-invasive biomarkers indicating recurrence and activity of this disease has sparked research into short non-coding RNA known as microRNA (miRNA). Patients and Methods: Serum samples of patients with active synovial sarcoma, healthy donors and leiomyosarcoma patients were collected. Cell-free serum was obtained by differential centrifugation steps and analyzed using an Affymetrix GeneChip miRNA Array v. 4.0. qRT-PCR was carried out to confirm a panel of miRNAs which where differentially expressed in the miRNA array.
Project description:Exosomal miRNAs have been studied in relation to many diseases. However, there is little to no knowledge regarding the miRNA population of BALF or the lung tissue derived exosomes in COPD and IPF. Considering this, we determined and compared the miRNA profiles of BALF and lung tissue-derived exosomes from healthy non-smokers, healthy smokers, and patients with COPD and IPF. NGS results identified three differentially expressed miRNAs in the BALF, while one in the lung-derived exosomes from COPD patients as compared to healthy non-smokers. Of these, we found three- and five-fold downregulation of miR-122-5p amongst the lung tissue-derived exosomes from COPD patients as compared to healthy non-smokers and smokers, respectively. Interestingly, there were key 55 differentially expressed miRNAs in the lung tissue-derived exosomes of IPF patients compared to non-smoking controls.