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Network Cluster Analysis of Protein-Protein Interaction Network-Identified
Biomarker for Type 2 Diabetes
#MMPMID25879401
Li Z
; Qiao Z
; Zheng W
; Ma W
Diabetes Technol Ther
2015[Jul]; 17
(7
): 475-81
PMID25879401
show ga
Type 2 diabetes mellitus (T2DM) is a complex disease that is caused by an
impairment in the secretion of ?-cell insulin and by a peripheral resistance to
insulin. Most patients suffering from T2DM and from obesity exhibit insulin
resistance in the muscles, liver, and fat, resulting in a reduced response of
these tissues to insulin. In healthy individuals, pancreatic islet ?-cells
secrete insulin to regulate the increase in blood glucose levels. Once these
?-cells fail to function, T2DM develops. Despite the progress achieved in this
field in recent years, the genetic causes for insulin resistance and for T2DM
have not yet been fully discovered. The present study aims to characterize T2DM
by comparing its gene expression with that of normal controls, as well as to
identify biomarkers for early T2DM. Gene expression profiles were downloaded from
the Gene Expression Omnibus, and differentially expressed genes (DEGs) were
identified for type 2 diabetes. Furthermore, functional analyses were conducted
for the gene ontology and for the pathway enrichment. In total, 781 DEGs were
identified in the T2DM samples relative to healthy controls. These genes were
found to be involved in several biological processes, including cell
communication, cell proliferation, cell shape, and apoptosis. We constructed a
protein-protein interaction (PPI) network, and the clusters in the PPI were
analyzed by using ClusterONE. Six functional genes that may play important roles
in the initiation of T2DM were identified within the network.
|*Gene Expression Profiling
[MESH]
|Aged
[MESH]
|Cluster Analysis
[MESH]
|Diabetes Mellitus, Type 2/*genetics/metabolism
[MESH]
free
free
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