Authors: Suhas V. Vasaikar, James Gomes, Sanjoy Bhattacharya
Multiple Sclerosis (MS) is an inflammatory-mediated demyelinating disease and a major cause of non-traumatic irreversible neurological disability. The underlying mechanisms by which these complications arise, remains poorly understood. Recent data suggests that alterations in genes or environmental factors directly or indirectly alter protein function, signalling cascade and thus contribute to variation in disease susceptibility. With the accumulation of high throughput data, a systematic analysis of the interaction and crosstalk between underlying pathways is important for understanding pathogenesis of such a complex disease. This study is based on the enrichment analysis of disease network for determination of functional clusters that exhibit high correlation with abnormalities in immune response and neuronal signalling. Our results show that interrogation of protein-protein interaction networks can help elucidate mechanisms underlying complex diseases.
Keywords: Multiple sclerosis, protein-protein interaction network analysis, neurodegenerative diseases, systems analysis, immune response, neuronal signalling.