Prediction of hub miRNAs and their associated pathways in Alzheimer's disease with miRNA-mRNA-TF network using bioinformatic tools

The prevalence of Alzheimer’s in Europe is increasing strikingly over the past decade. Addressing this neurodegenerative disorder can be arduous as the underlying cause isn’t often reversible. The past research has mainly focused on identifying degenerated genes and miRNAs as their interrelation is often useful to describe a medical condition and provides us with indispensable information which can be further exploited to devise a diagnostic plan or devise a therapy. These degenerated genes indeed act as useful diagnostic and prognostic biomarkers. Though their expression and manifestation have varied from patient to patient, it is often helpful to understand their dysregulation. The current research has employed the knowledge of bioinformatics tools and software to determine the deregulated genes and transcriptional factors. This information was utilized to create a complex network that indicated the impact of a specific gene or transcriptional factor(s) on the corresponding transcriptional factor(s) or genes. Through previous literature,their possible association with neurons, neurodegeneration, memory, cognition, and associated biological processes were gathered to establish their association in Alzheimer’s.