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- Title
Spatio-temporal analysis of type 2 diabetes mellitus based on differential expression networks.
- Authors
Shao-Yan Sun; Zhi-Ping Liu; Tao Zeng; Yong Wang; Luonan Chen
- Abstract
T2DM is complex in its dynamical dependence on multiple tissues, disease states, and factors' interactions. However, most existing work devoted to characterizing its pathophysiology from one static tissue, individual factors, or single state. Here we perform a spatio-temporal analysis onT2DMby developing a new form of molecular network, i.e. 'differential expression network' (DEN), which can reflect phenotype differences at network level. Static DENs show that three tissues (white adipose, skeletal muscle, and liver) all suffer from severe inflammation and perturbed metabolism, among which metabolic functions are seriously affected in liver. Dynamical analysis on DENs reveals metabolic function changes in adipose and liver are consistent with insulin resistance (IR) deterioration. Close investigation on IR pathway identifies 'disease interactions', revealing that IR deterioration is earlier than that on SlC2A4 in adipose and muscle. Our analysis also provides evidence that rising of insulin secretion is the root cause of IR in diabetes
- Subjects
TYPE 2 diabetes; CRYOBIOLOGY; DIABETES complications; INSULIN resistance; HYPOGLYCEMIC agents
- Publication
Scientific Reports, 2013, p1
- ISSN
2045-2322
- Publication type
Article
- DOI
10.1038/srep02268