Document Type
Conference Item
Publication Date
5-12-2023
Abstract
Alzheimer’s Disease (AD) is the most common type of dementia clinically recognised by cognitive function impairment. Lately, the blood-based biomarkers relating to AD are intensively investigated due to the minimum invasiveness and relatively low cost in the collection of blood samples compared to the cerebrospinal fluid in the brain. With regard to that, the study of the deregulation of microRNA (miRNA) levels in the blood of AD patients is on the rise too. In this study, data analysis was performed on the miRNA expression profiling dataset using an integrative bioinformatics approach. kNN imputation and quantile normalization were carried out as the data pre-processing step to remove outliers and reduce bias in the dataset. Differential expression analysis was performed to identify 10 significant dysregulated miRNAs using a cut-off at adjusted-pvalue <0.05 and an absolute fold change of 1.6. Subsequently, 16 pathways were determined to be involved by the selected 10 miRNA signatures, and 7 genes were predicted as the common target genes, which are Cdc42, VEGFA, NTRK3, ESR1, SH3GL2, COX-2 and E2F1. The roles of these target genes in AD were proven by literature studies. Expansion of the current work on a bigger scale of data analysis is needed to further validate and understand the mechanism of miRNAs in AD development.
Keywords
Alzheimer’s disease, microRNA, Differential expression analysis, Data analytics, Bioinformatics
Divisions
InstituteofBiologicalSciences
Event Title
The Asia Joint Conference on Computing 2023 (AJCC 2023)
Event Location
Silpakorn University, Thailand
Event Dates
26-28 April 2023
Event Type
conference
Additional Information
Conference paper