1. To develop a database containing matched information from dynamic tests of postprandial glycemic control (OGTT or MMTT), results of a broad panel of fasting biomarkers, and clinical information related to diabetes risk obtain through subject interview. 2. To use the database to identify fasting biomarkers and associated algorithms to best predict parameters derived from dynamic tests (OGTT or MMTT) such as Insulin Glucose Tolerance (IGT), impaired first phase insulin response, etc., controlling for clinical information such as current medication use.
Study Type
OBSERVATIONAL
Enrollment
1,000
Health Diagnostic Laboratory, Inc.
Richmond, Virginia, United States
Identify fasting biomarkers and associated algorithms to predict parameters
To assess relations between baseline factors and patterns of change over time due to feeding treatments.
Time frame: Baseline
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