Technologies

time icon Aug. 29, 2017

Predicting Glucoregulatory Dysfunction

Technology description

The term glucoregulatory dysfunction covers a spectrum of disorders from insulin resistance to prediabetes and diabetes. Problems associated with glucoregulatory dysfunction and obesity dominate health care costs in the U.S. today.

The test used to identify glucoregulatory dysfunction (based on high blood glucose levels or glycosylated hemoglobin) works after the fact, i.e., it confirms the problem rather than initially detecting it. A better test, one that could be used to screen at-risk patients before they progress to a more serious condition, would enable earlier intervention and improved patient outcomes. UW–Madison researchers have developed a method based on blood lipid chemistry to identify a subject at risk for glucoregulatory dysfunction. The method involves obtaining a biosample from the subject, separating the diacylglycerol fatty acids and determining if the concentration is above or below a control range.
The Wisconsin Alumni Research Foundation (WARF) is seeking commercial partners interested in developing a method for identifying individuals at risk for glucoregulatory dysfunction associated with metabolic syndrome, prediabetes or Type II (adult onset) diabetes.

Application area

  • Diagnostic test to screen individuals at risk for glucoregulatory dysfunction
  • Identifying those eligible for treatment and insurance reimbursement

Advantages

  • Predicts a problem in advance of more serious conditions (e.g., prediabetes)
  • Can be easily and routinely administered
  • Opportunity for early intervention

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More information

Categories
  • Information technology
  • Endocrinology
Keywords:

screen at-risk patients

enable earlier intervention

improved patient outcomes

blood lipid chemistry

diacylglycerol fatty acids

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