Abstract:
Alzheimer’s disease is a progressive multi-factorial neurodegenerative disease
characterized by cognitive decline and synaptic loss and is one of the most prominent
healthcare challenges of this century. Technology advances and research has identified a number of therapeutic biomarkers to understand Alzheimer’s disease, however,
all proposed therapeutic strategies are symptomatic with no significant effect on treatment of the disease. Global research community dedicated to investigate dementia
and neurodegenerative diseases is on a continuous quest to map the correct pathological events and find targets to halt the disease progression. Mounting evidence
of the regulatory effect of non-coding genome in various diseases has opened new
avenues of diagnostic and therapeutic biomarker research. In this study, we highlight
the important long non-coding RNAs as potential biomarkers of Alzheimer’s disease
through integrated bioinformatics analysis of publicly available datasets. We have
reported the important genes and punctuated their role in various biological pathways
and processes through extensive enrichment analysis studies. BAIAP3 and TAMALIN
are the two differentially expressed genes that were common between all datasets
under this study. These genes are involved in neuronal differentiation and survival
and important regulators of synaptic transmission and neurotransmitter transport and
secretion. MEG3, NEAT1, SOX2-OT and BAALC-AS are the most significant differentially expressed long non-coding RNAs that regulate the neuroinflammation, oxidative stress, amyloid metabolism and apoptosis related pathways. CHRM1, AKAP10,
NCALS, RPRD2, ATXN1 and TRIO are identified as the important target genes of long
non-coding RNA transcripts that were found to be enriched in synaptic signaling and
neurotransmission. Our multi-dataset analysis provides a comprehensive overview
of RNA expression in Alzheimer’s disease, shedding light on the intricate interplay
between protein-coding genes and lncRNAs in disease pathology
