Viewing Study NCT00143013



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Study NCT ID: NCT00143013
Status: UNKNOWN
Last Update Posted: 2008-06-12
First Post: 2005-09-01

Brief Title: Gene Expression Profiling and Bioinformatic Analysis Identifying Genes and Biochemical Pathways in Type 2 Diabetes
Sponsor: Odense University Hospital
Organization: Odense University Hospital

Study Overview

Official Title: Gene Expression Profiling by DNA Chips and Subsequent Bioinformatic Analysis for Identification of Genes and Biochemical Pathways Associated With Type 2 Diabetes
Status: UNKNOWN
Status Verified Date: 2008-06
Last Known Status: RECRUITING
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: 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
Detailed Description: None

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: None
Is a FDA Regulated Device?: None
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None