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Related Experiment Videos

Insulin resistance--modelling studies.

I F Godsland1, C Walton, D Crook

  • 1Wynn Institute for Metabolic Research, London, U.K.

European Journal of Epidemiology
|May 1, 1992
PubMed
Summary
This summary is machine-generated.

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High insulin levels predict coronary heart disease (CHD) and are linked to blood pressure and lipid issues. Computer modeling reveals insulin sensitivity and liver insulin processing influence these risk factors in healthy men.

Area of Science:

  • Endocrinology
  • Cardiovascular Disease Research
  • Metabolic Syndrome Studies

Background:

  • Elevated insulin concentrations are independent predictors of coronary heart disease (CHD).
  • Insulin resistance significantly determines plasma insulin concentration.
  • High blood pressure, low HDL-cholesterol, and high triglycerides are associated with elevated insulin.

Purpose of the Study:

  • To investigate the association between CHD risk markers and determinants of plasma insulin concentration.
  • To quantify determinants of plasma insulin concentration using computer modeling.
  • To analyze these associations in a cohort of healthy males.

Main Methods:

  • Utilized computer modeling of plasma glucose, insulin, and C-peptide concentrations during an intravenous glucose tolerance test.

Related Experiment Videos

  • Performed univariate linear regression analysis on glucose, insulin, and C-peptide data.
  • Assessed relationships between model-derived insulin determinants and cardiovascular risk markers.

    • Main Results:

    • The incremental insulin area during the second phase (10-180 min) was the strongest predictor of lipid, lipoprotein, and blood pressure variables.
    • Variations in insulin sensitivity contribute to variations in the insulin response.
    • Hepatic insulin throughput also influences the insulin response.

    Conclusions:

    • Insulin sensitivity and hepatic insulin throughput are key determinants of insulin response.
    • These factors may be secondary correlates of lipids, lipoproteins, and blood pressure.
    • Understanding these relationships can inform strategies for managing CHD risk.