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Investigating the Relationship between Diabetes and Alzheimer’s Disease: A Network Systems Biology Approach


Tammanna R. Sahrawat
Jyoti Dwivedi

Abstract

Ageing is associated with a number of diseases. Alzheimer’s disease (AD) and diabetes are among such most common diseases. These two diseases are considered to be fundamentally similar disorders because they share some common elements, though they differ in the time of onset, tissues affected as well as the magnitudes of their specific traits. The present study was undertaken to prospect the association between the genes involved in Diabetes and AD; and their common pathophysiology. Using a network system biology approach, the genes common between Diabetes and AD were retrieved from DisGeNET database. The common genes were analysed using in silico tool, Cyctoscape’s various plug-ins, ClusterONE, CytoHubba, ClueGO and CluePedia. Eleven genes which can act as potential marker for both Diabetes and AD namely IL4, ICAM1, ALB, INS, CSF2, IL6, TNF, IL10, GAPDH, TLR4, and AKT have been identified in the present study. This is the first study of its kind in which relationship between Diabetes and AD has been investigated to identify their common genes, which can help in better understanding of pathophysiology of these age-related diseases.


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eISSN: 2070-1748
print ISSN: 2070-1748