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

Modeling the euglycemic hyperinsulinemic clamp by stochastic differential equations.

Umberto Picchini1, Susanne Ditlevsen, Andrea De Gaetano

  • 1CNR-IASI BioMatLab, Largo A. Gemelli 8, 00168 Rome, Italy. umberto.picchini@biomatematica.it

Journal of Mathematical Biology
|October 6, 2006
PubMed
Summary

This study introduces a stochastic model to better understand insulin sensitivity during Euglycemic Hyperinsulinemic Clamps. The model reveals significant system noise, highlighting intrinsic metabolic variability beyond measurement error.

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

Pleiotropic Effects of 3-<i>O</i>-Decanoylquercetin on U373-MG Human Glioma Cell Line.

International journal of molecular sciences·2026
Same author

Validation of an agent-based model for cell interactions in a microfluidic chip.

PloS one·2026
Same author

Effects of lighting technologies on the physiology of a marine diatom, Cocconeis scutellum var. parva (Bacillariophyceae): 2. production of antioxidants and other bioactive compounds.

Comparative biochemistry and physiology. Toxicology & pharmacology : CBP·2026
Same author

Personalizing bariatric metabolic surgery: Predictors of weight-loss success and risk of weight recurrence.

Metabolism: clinical and experimental·2026
Same author

Cost-effectiveness analysis of surgical and non-surgical weight loss interventions in end-stage knee osteoarthritis and obesity: a Markov State model.

BMC public health·2025
Same author

Author Correction: Warning of a forthcoming collapse of the Atlantic meridional overturning circulation.

Nature communications·2025

Area of Science:

  • Metabolic Physiology
  • Mathematical Modeling

Background:

  • The Euglycemic Hyperinsulinemic Clamp (EHC) is the gold standard for measuring insulin sensitivity.
  • Existing deterministic models struggle to explain glycemia oscillations during EHC experiments.

Purpose of the Study:

  • To develop and validate a stochastic model for the EHC procedure.
  • To differentiate between observation error and intrinsic system noise in glucose metabolism.

Main Methods:

  • Employed a 5-hour Euglycemic Hyperinsulinemic Clamp in 16 subjects with varying BMIs.
  • Developed a system of stochastic differential equations (SDEs) to model the EHC experiment.
  • Estimated system noise using a simulated maximum likelihood procedure across different measurement error values.

Related Experiment Videos

Main Results:

  • System noise estimates were non-negligible and robust to variations in measurement error.
  • Intrinsic variability (system noise) significantly impacts glucose uptake dynamics in some individuals.
  • The stochastic model successfully explained glycemia oscillations observed during hyperinsulinization.

Conclusions:

  • Stochastic modeling provides a more comprehensive understanding of insulin sensitivity than deterministic approaches.
  • System noise, representing unmodeled influences, is physiologically relevant and should be considered in metabolic studies.
  • Erratic tissue glucose transport can be a major driver of metabolic dynamics, sometimes overshadowing the overall glucose-insulin control system.