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Showing 2 results for Micrornas
Mehdi Valizadeh , Esmaeil Babaei, Rasoul Sharifi, Abbas Yazdanbod, Volume 20, Issue 2 (7-2020)
Abstract
Background & objectives: Colon cancer is a common disease in the world that causes high mortality in affected people. The lack of appropriate diagnostic and prognostic markers has led to the failure in early diagnosis of colorectal malignancies. MicroRNAs play an important role in controlling the expression of target genes involved in the development and progression of colon cancer. The aim of the present study was the bioinformatics identification of microRNAs with distinct expression in cancerous and non-cancerous colon samples.
Methods: This type of study was theoretical bioinformatics and microarray data of 1513 colon cancer samples with the accession number of GSE115513 were obtained from the GEO site and marker genes were selected by using R program. Target genes of the identified microRNAs were provided by TARGETSCAN software and finally, the graphical network was plotted in Cytoscape software.
Results: Analysis of microarray data showed that has-miR-663b, has-miR-650, has-miR-17-5p, has-miR-4539 and has-miR-501-3p have biomarker potential in cancer samples. Statistical analysis and investigation of the target genes indicated that miR-663b (ROCAUC=0.8965, p=0.001) and has-miR-650 (ROCAUC=0.9104, p=0.001) had significant distinct expression between cancerous and non-tumor margins with biomarker potential.
Conclusion: The has-miR-663b and has-miR-650 genes can be used as diagnostic markers to distinguish colon cancer from non-cancerous samples
Behrouz Shademan, Masoud Nikanfar, Jafar Rezaei, Mehdi Hassanpour, Mohammad Nouri, Alireza Nourazarian, Volume 22, Issue 2 (7-2022)
Abstract
Background & objectives: Evidence suggests that microRNAs (miRNAs) are essential for immune cell differentiation and function. In addition, miRNAs play an essential role in regulating the expression of pro-inflammatory genes in neurons. Therefore, we investigated the relationship between miRNA expression and inflammatory markers in the CSF of patients with multiple sclerosis.
Methods: RT-PCR analysis was performed on CSF samples from patients with multiple sclerosis (MS) and a control group to measure the expression level of miRNA-21, miRNA-155, miRNA-182, and miRNA-437. In addition, the levels of the inflammatory cytokines including IL-1β, IL-6, and TNF-α in CSF were measured using ELISA. A quantitative turbidimetric method was also used to measure high-sensitivity C-reactive protein (hs-CRP).
Results: A significant difference was found in the expression level of miRNAs and inflammatory factors in the CSF of patients with MS compared with the control group (p<0.05). The results of receiver operating characteristic (ROC) analysis showed the area under the curve for miRNA-21 (AUC=0.97, p<0.0001), miRNA-182 (AUC=0.97, p<0.0001), and miRNA-155 (AUC=0.96, p<0.0001). The miRNA-155 level in CSF played a very important role in the accurate diagnosis of MS. Significant correlations were found between inflammatory cytokines and miRNA-21, miRNA-155, and miRNA-182, as well as an indirect and moderate correlation between miRNA-437 and hs-CRP.
Conclusion: In MS patients, CSF levels of IL-1, IL-6, TNF-α, hs-CRP, and selected miRNAs can be used as biomarkers of CNS inflammation and neurodegenerative processes.
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