Type 2 Diabetes Clinical Trial
Official title:
Gene Expression Profiling by DNA Chips and Subsequent Bioinformatic Analysis for Identification of Genes and Biochemical Pathways Associated With Type 2 Diabetes
Type 2 diabetes is a disorder of the metabolic system that greatly affects individual health
and imposes significant cost for society on health care. It is necessary to initiate
research with emphasis on improvement on quality of life and reduce the serious
complications as a result of type 2 diabetes.
In type 2 diabetes insulin resistance and impairment of insulin secretion by beta-cells are
the major pathophysiological defects and characterized by raised plasma glucose levels.
Today, little is known about gene regulation and biochemical pathways involved in the
disease.
Bioinformatics and gene expression microarrays (GEM) will be applied to gain insight into
the molecular pathophysiology of type 2 diabetes. The simultaneous monitoring of thousands
of genes in parallel can identify novel genes and entire biochemical pathways that are
dysregulated at the transcriptional level. Affymetrix Inc. chips or spotted arrays will be
applied as DNA microarray tools. Bioinformatic software programs and databases will be
employed as data mining tools in order to perform statistical analysis, cluster analysis and
biochemical pathway analysis.
Biopsies from skeletal muscle and adipose tissue from both diabetics and nondiabetics will
be applied. Changes in genes and biochemical pathways between diabetics and nondiabetics and
functional relationships between adipose tissue and skeletal muscle will be investigated.
Grouping of subtypes in type 2 diabetes will be performed and a classification system will
be constructed. Building a classifier may provide better and more precise diagnosis of type
2 diabetes.
Major advances in health science of type 2 diabetes thus seems to be promising and paving
the way for individual treatment based on a more precise diagnosis.
n/a
Time Perspective: Prospective
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