Identifying characteristic miRNAs-genes and risk pathways of multiple sclerosis based on bioinformatics analysis

Abstract

Multiple sclerosis is a chronic autoimmune disorder of the central nervous system. In MS, the genetic susceptibility is high and currently there is no effective treatment. MicroRNA, a small non-coding RNA, plays a vital role in immune responses. Aberrant or dysfunctional miRNAs may cause several diseases, including MS, thus miRNAs and miRNA related genes may be therapeutic weapons against MS. Here, we identified 21 miRNAs in peripheral blood mono-nuclear cells from over 600 persons, including healthy controls. By using informatics databases, 1637 susceptibility genes were evaluated and Cytoscape was used to integrate and visualize the relation between the miRNA identified and susceptibility genes. By using the cluster Profile package, a total of 10 risk pathways were discovered. Top pathways included: hsa05200 (pathway in cancer), hsa04010 (MAPK signaling pathway), and hsa04060 (cytokine-cytokine receptor interaction). By using the STRING database, a protein-protein interaction network was conducted to identify highly susceptibility genes. Moreover, the GSE21942 dataset was used to indicate the gene expression profiles and to correct prediction results, thereby identifying the most pivotal genes. The MiRSystem database provided information on both pivotal miRNAs and genes. In conclusion, miR-199a and miR-142-3p may be crucial for MS by targeting pivotal susceptibility genes, in particular KRAS and IL7R.

Molecular prognosticators in clinically and pathologically distinct cohorts of head and neck squamous cell carcinoma—A meta-analysis approach

“…Site-specific meta-analysis of publicly available data identified a subset of genes that were common across the three major sites of HNSCC (tongue, laryngopharynx, oropharynx); the pathways that were primarily enriched included focal adhesion and proteoglycans in cancer, and cell cycle, mitotic pathway, which are well known in various cancers [29][30][31][32][33][34][35][36][37]. Differential expression profiling of the tongue cancer cohort triaged based on the stage, pathology identified multiple candidate markers; JAM2, SMURF1, LY6E, MFN1 and SUPT16H.…”

Investigating the Role of MicroRNA and Transcription Factor Co-regulatory Networks in Multiple Sclerosis Pathogenesis

“…Among the other above-mentioned genes, BCL2 was reported as highly expressed in RRMS patients [ 51 ], while STAT3, MYC, JUN, NF-κB, and PTEN were identified as candidate genes for the MS susceptibility [ 52 ]. The study of Kristjansdottir et al showed that an increased amount of transcription factor SP1 binds the risk allele of the CGGGG indel polymorphism significantly associated with MS [ 53 ], whereas TCF3 was found to be implicated in the gene transcription regulation observed in the pathogenic mechanisms of the disease [ 54 ].…”

Beyond Low-Earth Orbit: Characterizing Immune and microRNA Differentials following Simulated Deep Spaceflight Conditions in Mice

“…This may somewhat explain overall reduced lymphocyte populations following simulated spaceflight exposures, along with reduced thymic and splenic weights, as well. Interestingly, miR-199a and miR-142–3p target Il7R ( Luo and Fu, 2018 ), reducing its expression levels; however, in our report, mechanisms of this requires further investigation. Conversely, elevated IL-7R has been linked to multiple inflammatory diseases ( Anderson et al., 2011 ; Belarif et al., 2018 ; Willis et al., 2012 ).…”