Network signatures link hepatic effects of anti-diabetic interventions with systemic disease parameters.

ABSTRACT:

Background

Multifactorial diseases such as type 2 diabetes mellitus (T2DM), are driven by a complex network of interconnected mechanisms that translate to a diverse range of complications at the physiological level. To optimally treat T2DM, pharmacological interventions should, ideally, target key nodes in this network that act as determinants of disease progression.

Results

We set out to discover key nodes in molecular networks based on the hepatic transcriptome dataset from a preclinical study in obese LDLR-/- mice recently published by Radonjic et al. Here, we focus on comparing efficacy of anti-diabetic dietary (DLI) and two drug treatments, namely PPARA agonist fenofibrate and LXR agonist T0901317. By combining knowledge-based and data-driven networks with a random walk

SUBMITTER: Kelder T 

PROVIDER: S-EPMC4363943 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature