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Complex disease interventions from a network model for type 2 diabetes

Deniz Rende1, Nihat Baysal, Betul Kirdar

  • 1Department of Materials Science and Engineering, Rensselaer Polytechnic Institute, Troy, New York, United States of America. rended3@rpi.edu

Plos One
|June 19, 2013
PubMed

Insights

This study constructed a Type 2 diabetes functional linkage network. Key findings highlight circadian rhythm and nuclear receptor roles in disease pathophysiology and links to other metabolic and neuromuscular disorders.

Area of Science:

  • Genomics
  • Systems Biology
  • Metabolic Disorders

Background:

  • Proteins encoded by disease-associated genes often interact and share pathways.
  • Functional modules in disease networks can reveal metabolic processes and disease comorbidities.

Purpose of the Study:

  • To construct and analyze a functional linkage network for Type 2 diabetes (T2DFN).
  • To identify key biological pathways and protein associations involved in T2DFN pathophysiology.
  • To explore T2DFN's links to other metabolic and neuromuscular disorders.

Main Methods:

  • Construction of a Type 2 diabetes associated functional linkage network (T2DFN) with 2770 proteins and 15041 linkages.
  • Scoring and evaluation of functional modules based on shared pathways, co-localization, co-expression, and disease associations.
  • Analysis of overlapping members in top-scoring modules.

Main Results:

  • Circadian rhythm and nuclear receptor actions in steroid and retinoic acid metabolism are significantly implicated in Type 2 diabetes.
  • Shared proteins established associations between Type 2 diabetes and other metabolic/neuromuscular disorders.
  • Nuclear receptor NRIP1 identified as crucial for lipid/carbohydrate metabolism; CREBBP and CTF1 linked T2D to neuromuscular diseases.

Conclusions:

  • The T2DFN analysis provides insights into Type 2 diabetes pathophysiology, including circadian rhythm and nuclear receptor involvement.
  • Protein interactions reveal connections between Type 2 diabetes and other complex diseases.
  • NRIP1, CREBBP, and CTF1 are highlighted as potential key players in Type 2 diabetes and its comorbidities.

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