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

[Insulin tolerance tests]

H Grulet1, M Leutenegger

  • 1Clinique Médicale B, Hôpital Robert-Debré, Reims.

Presse Medicale (Paris, France : 1983)
|May 28, 1994
PubMed
Summary
This summary is machine-generated.

Measuring insulin resistance is crucial for understanding conditions like Syndrome X. Different methods exist, each with unique pros and cons for clinical and research applications.

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

Spectral cross-cumulants for multicolor super-resolved SOFI imaging.

Nature communications·2020
Same author

X-ray resonant photoexcitation: linewidths and energies of Kα transitions in highly charged Fe ions.

Physical review letters·2014
Same author

An unexpectedly low oscillator strength as the origin of the Fe XVII emission problem.

Nature·2012
Same author

STED nanoscopy reveals molecular details of cholesterol- and cytoskeleton-modulated lipid interactions in living cells.

Biophysical journal·2011
Same author

Laser Doppler imaging for intraoperative human brain mapping.

NeuroImage·2008
Same author

Six-month efficacy of benfluorex vs. placebo or metformin in diet-failed type 2 diabetic patients.

Acta diabetologica·2003
Same journal

Predictive analytics and risk stratification models in internal medicine: from risk scores to real-time machine learning.

Presse medicale (Paris, France : 1983)·2026
Same journal

Artificial Intelligence in skin disease therapeutics: from drug discovery to personalized treatment pathways.

Presse medicale (Paris, France : 1983)·2026
Same journal

AI in clinical diagnostics in dermatology: applications, validation, and real-world use cases.

Presse medicale (Paris, France : 1983)·2026
Same journal

Artificial Intelligence in medical research and publishing: progress, risks, and future perspectives.

Presse medicale (Paris, France : 1983)·2026
Same journal

Ethical, legal, and regulatory challenges in AI-based healthcare tools.

Presse medicale (Paris, France : 1983)·2026
Same journal

Decision-making for clinicians.

Presse medicale (Paris, France : 1983)·2026
See all related articles

Area of Science:

  • Endocrinology
  • Metabolic Syndrome
  • Clinical Chemistry

Context:

  • Insulin resistance is a common clinical issue, gaining attention since Reaven's 1988 description of Syndrome X.
  • Syndrome X (metabolic syndrome) involves high triglycerides, hypertension, low HDL, and insulin resistance, increasing coronary artery disease risk.

Purpose:

  • To review and compare various methods for measuring insulin resistance.
  • To highlight the importance of accurate insulin sensitivity assessment in clinical and research settings.

Summary:

  • The euglycaemic clamp method measures insulin sensitivity by infusing insulin and glucose to maintain constant blood glucose levels, with sensitivity expressed as glucose infusion rate.
  • Steady-state plasma glucose methods use drugs to suppress insulin secretion, then infuse glucose and insulin at constant rates.

Related Experiment Videos

  • Bergman's minimal model and modified insulin tolerance tests offer alternative, more practical approaches with specific applications.
  • Impact:

    • Understanding the advantages and disadvantages of each method (precision, cost, duration) aids in selecting the most appropriate technique.
    • Accurate measurement of insulin resistance is vital for diagnosing and managing metabolic syndrome and related cardiovascular risks.