NDLI: Spatio-temporal analysis of type 2 diabetes mellitus based on differential expression networks

Content Provider	PubMed Central
Author	Sun, Shao-yan Liu, Zhi-ping Zeng, Tao Wang, Yong Chen, Luonan
Copyright Year	2013
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 on T2DM by 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.
Related Links	http://dx.doi.org/10.1038/srep02268
Starting Page	2268
File Format	PDF
ISSN	20452322
e-ISSN	20452322
Journal	Scientific Reports
Volume Number	3
Language	English
Publisher	Nature Publishing Group
Publisher Date	2013-07-01
Access Restriction	Open
Rights Holder	Nature Publishing Group
Subject Keyword	Science and technology Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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