GENOMIC INSIGHTS INTO THE PATHOGENESIS OF NEURODEGENERATIVE DISORDERS: A MOLECULAR NEUROLOGY APPROACH

Abstract

Neurodegenerative diseases are based on complex genetic and molecular impairments that inevitably lead to the loss of neuronal integrity; however, the exact genomic connections that enable their pathogenesis are not completely understood up to date.  This work employed a combined molecular neurology system that involved the whole-genome sequencing, transcriptomic profiling, mapping of variants, and molecular interpretation at a pathway scale to elucidate the genomic architecture related to the major neurodegenerative diseases, including Alzheimer disease, Parkinson disease, frontotemporal dementia, and amyotrophic lateral sclerosis.  The comprehensive pathogenic variants clusters, striking patterns of differentiations in gene expression, mitochondrial bioenergetic efficiencies, proteostasis disequilibrium, synaptic degeneration indicators, and bioactive activation of neuroinflammatory pathways were revealed through the high-resolution genomic analysis.  These findings were further correlated in terms of neuropathology with the correlation and clinical phenotypic subdivision showing strong correlations between genetic load, transcriptome instability and severity of the illness.  Compound investigation revealed that neurodegeneration does not occur due to individual mutations. Rather it occurs when oxidative stress signaling, RNA-splicing control, protein folding and metabolic-genomic signaling simultaneously disintegrate.  The model of risk integrated genomics that has been developed in this paper is a prediction tool that can be used to identify early molecular weaknesses and future areas of treatment.  Overall, this finding enhances our comprehension of the etiology of neurodegenerative diseases by offering a whole genomic map of the mechanisms underlying such diseases. This will assist in designing more specific tests and medication that will combat the disease at its core.