Expression-based network biology identifies alteration in key regulatory pathways of type 2 diabetes and associated risk/complications.

ABSTRACT: Type 2 diabetes mellitus (T2D) is a multifactorial and genetically heterogeneous disease which leads to impaired glucose homeostasis and insulin resistance. The advanced form of disease causes acute cardiovascular, renal, neurological and microvascular complications. Thus there is a constant need to discover new and efficient treatment against the disease by seeking to uncover various novel alternate signalling mechanisms that can lead to diabetes and its associated complications. The present study allows detection of molecular targets by unravelling their role in altered biological pathways during diabetes and its associated risk factors and complications. We have used an integrated functional networks concept by merging co-expression network and interaction network to detect the transcri

SUBMITTER: Sengupta U 

PROVIDER: S-EPMC2785475 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature