Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Modified protocols improve insulin sensitivity estimation using the minimal model.

Y J Yang1, J H Youn, R N Bergman

  • 1Department of Physiology and Biophysics, University of Southern California, Los Angeles 90033.

The American Journal of Physiology
|December 1, 1987
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Impact of the maxillary sinus on endodontic microsurgery of maxillary posterior teeth and its clinical management strategies].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology·2025
Same author

[The impact of coronary artery calcification on the long-term outcomes after chronic total occlusion percutaneous coronary intervention].

Zhonghua xin xue guan bing za zhi·2025
Same author

All-fiber polarization-maintained figure-9 laser with frequency locking at a repetition rate of 247  MHz.

Applied optics·2025
Same author

[Real world clinical data analysis of fuzuloparib for the treatment of ovarian epithelial cancer patients].

Zhonghua fu chan ke za zhi·2025
Same author

[Progress of multi-omics technology in precision treatment of chronic rhinosinusitis].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2024
Same author

[Screening and validation of therapeutic targets for chronic sinusitis with nasal polyps based on proteomics].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2024
Same journal

Blood coagulation in fish.

The American journal of physiology·2011
Same journal

Renal tubular reabsorption, metabolic utilization and isomeric fractionation of lactic acid in the dog.

The American journal of physiology·2010
Same journal

The inactivation of placental toxin by human serum.

The American journal of physiology·2010
Same journal

Adrenal function following ovariectomy in the rat.

The American journal of physiology·2010
Same journal

Capillary permeability; perfusion of frog and guinea pig hind limbs.

The American journal of physiology·2010
Same journal

Evaluation of protective measures against sunburn.

The American journal of physiology·2010
See all related articles

Improving insulin sensitivity (S1) estimation in diabetes research is crucial. Modified frequently sampled intravenous glucose tolerance tests (FSIGT) enhance precision by altering insulin dynamics, leading to more accurate S1 measurements.

Area of Science:

  • Metabolic Research
  • Endocrinology
  • Biomedical Engineering

Background:

  • Accurate estimation of insulin sensitivity (S1) is vital for understanding glucose metabolism and diabetes.
  • The minimal model technique is a common method for assessing S1.
  • Standard frequently sampled intravenous glucose tolerance tests (FSIGT) have limitations in precision.

Purpose of the Study:

  • To enhance the precision of insulin sensitivity (S1) estimation using the minimal model technique.
  • To investigate the impact of modified insulin dynamics during FSIGT on S1 estimation accuracy.
  • To evaluate the effectiveness of tolbutamide and somatostatin (SRIF) in altering insulin response without directly changing insulin sensitivity.

Main Methods:

  • Utilized computer simulations to assess the precision of S1 estimation.

Related Experiment Videos

  • Modified the FSIGT protocol by administering tolbutamide or SRIF to alter endogenous insulin dynamics.
  • Analyzed the effect of varying magnitudes of insulin response on the fractional standard deviation of S1 estimates.

    • Main Results:

    • Modified FSIGT protocols significantly reduced the fractional standard deviation of S1 estimates compared to the standard protocol (73% to 23% with tolbutamide, 18% with SRIF).
    • The precision of S1 estimation improved exponentially with increasing magnitude of insulin response.
    • Modified protocols achieved similar precision with a smaller insulin response compared to the standard FSIGT.

    Conclusions:

    • Modifying insulin dynamics during FSIGT is an effective strategy to improve the precision of minimal model-based insulin sensitivity estimation.
    • Tolbutamide and SRIF can be used to pharmacologically manipulate insulin secretion profiles for enhanced S1 assessment.
    • These findings suggest that optimized FSIGT protocols can lead to more reliable measurements of insulin sensitivity in metabolic research.