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 Concept Videos

Glucose Homeostasis: Regulation of Blood Glucose01:02

Glucose Homeostasis: Regulation of Blood Glucose

5.5K
Carbohydrates consumed through foods are converted into glucose, a crucial energy source for the body. In the prandial state, high blood glucose levels stimulate the secretion of insulin from the pancreas. Insulin inhibits hepatic glucose production and stimulates glucose uptake and metabolism by muscle and adipose tissue. The excess glucose is converted into glycogen and stored in the liver and muscles.
During fasting, when blood glucose levels are low, the pancreas secretes glucagon. it...
5.5K
Feedback Loops01:01

Feedback Loops

68.2K
In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.
68.2K
Hormones Regulating Blood Glucose01:16

Hormones Regulating Blood Glucose

9.1K
Insulin is released by beta cells of the pancreas when blood glucose levels are high. It facilitates glucose absorption and utilization in insulin-dependent cells with insulin receptors on their plasma membranes. Insulin promotes glucose uptake by increasing the number of glucose transport proteins in the cell membrane, allowing glucose to enter the cell. As a result, glucose utilization and ATP production are enhanced.
In addition to accelerating glucose uptake and utilization, insulin has...
9.1K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

508
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
508
Glucose Homeostasis: Pancreatic Islets and Insulin Secretion01:27

Glucose Homeostasis: Pancreatic Islets and Insulin Secretion

3.2K
The pancreatic islets comprising only 1%-2% of the volume are highly vascularized and innervated mini-organs. They contain five endocrine cell types, including β cells that secrete insulin, which is synthesized as a single polypeptide chain, preproinsulin, processed to proinsulin, and finally to insulin and C-peptide. This process is complex and regulated, involving the Golgi complex, the endoplasmic reticulum, and the secretory granules of the β cell.
Insulin and C-peptide are...
3.2K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

320
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
320

You might also read

Related Articles

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

Sort by
Same author

Interface-Synergy-Driven Core-Shell Engineering of Hierarchical Hollow Structures for Enhanced Multifunctional Low-Frequency Electromagnetic Wave Absorption and Corrosion Resistance.

ACS applied materials & interfaces·2026
Same author

Sleep Optimization to Improve Glycemic Targets in Adults With Type 1 Diabetes: A Randomized Controlled Parallel Intervention Trial.

Diabetes care·2026
Same author

Diagnostic correction based on toxicology: A case of combined dichlorvos (DDVP), ethanol, and pesticide co-solvent intoxication.

Journal of forensic sciences·2026
Same author

Establishment and validation of a CT-based clinical deep learning radiomics nomogram for predicting the response to transcatheter arterial chemoembolization in patients with hepatocellular carcinoma.

Frontiers in oncology·2026
Same author

Syringic acid attenuates LPS-induced acute lung injury via modulation of the HMGB1/TLR4/NF-κB and Keap1/Nrf2/HO-1 pathways: Mechanistic insights from <i>in vivo</i> and <i>in silico</i> studies.

Iranian journal of basic medical sciences·2026
Same author

Ranking land degradation drivers in eastern Inner Mongolia using partial order theory and Hasse diagram analysis.

Scientific reports·2026

Related Experiment Video

Updated: Apr 18, 2026

Real-time Analysis of Gut-brain Neural Communication: Cortex wide Calcium Dynamics in Response to Intestinal Glucose Stimulation
07:29

Real-time Analysis of Gut-brain Neural Communication: Cortex wide Calcium Dynamics in Response to Intestinal Glucose Stimulation

Published on: December 29, 2023

1.2K

Multiple-Input Subject-Specific Modeling of Plasma Glucose Concentration for Feedforward Control.

Kaylee Kotz1, Ali Cinar2, Yong Mei1

  • 1Department of Chemical and Biological Engineering, Iowa State University , Ames, Iowa 50011, United States.

Industrial & Engineering Chemistry Research
|January 27, 2015
PubMed
Summary

Developing accurate blood glucose models improves diabetes control. This study presents a new method for Type 1 diabetics, enabling better artificial pancreas function during daily life changes.

More Related Videos

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli
08:01

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli

Published on: August 12, 2016

9.6K
Quantitative and Temporal Control of Oxygen Microenvironment at the Single Islet Level
11:49

Quantitative and Temporal Control of Oxygen Microenvironment at the Single Islet Level

Published on: November 17, 2013

9.7K

Related Experiment Videos

Last Updated: Apr 18, 2026

Real-time Analysis of Gut-brain Neural Communication: Cortex wide Calcium Dynamics in Response to Intestinal Glucose Stimulation
07:29

Real-time Analysis of Gut-brain Neural Communication: Cortex wide Calcium Dynamics in Response to Intestinal Glucose Stimulation

Published on: December 29, 2023

1.2K
A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli
08:01

A Method for Manipulating Blood Glucose and Measuring Resulting Changes in Cognitive Accessibility of Target Stimuli

Published on: August 12, 2016

9.6K
Quantitative and Temporal Control of Oxygen Microenvironment at the Single Islet Level
11:49

Quantitative and Temporal Control of Oxygen Microenvironment at the Single Islet Level

Published on: November 17, 2013

9.7K

Area of Science:

  • Biomedical Engineering
  • Control Systems Engineering
  • Diabetes Technology

Background:

  • Accurate blood glucose concentration (BGC) modeling is crucial for managing insulin-dependent diabetes.
  • Type 1 diabetics (T1Ds) require robust control systems to manage BGC fluctuations from food, activity, and stress.
  • Existing models may struggle with large datasets and real-world variability.

Purpose of the Study:

  • To present a novel, subject-specific, multiple-input modeling method for BGC.
  • To develop a stable model with strong causation attributes that prevents overfitting.
  • To enable effective long-term feedforward control (FFC) for artificial pancreas systems.

Main Methods:

  • Utilized a Wiener block-oriented methodology for BGC modeling.
  • Focused on a free-living, outpatient, multiple-input approach.
  • Emphasized stability and resistance to overfitting.

Main Results:

  • The proposed method demonstrates strong causation attributes for BGC modeling.
  • The model is stable and guards against overfitting, suitable for large input sets.
  • The approach provides an effective modeling strategy for feedforward control.

Conclusions:

  • The developed Wiener block-oriented modeling method offers a significant advancement for BGC control.
  • This approach can enhance the performance of artificial pancreas systems for T1Ds.
  • The modeling technique is well-suited for real-world, dynamic conditions and long-term FFC.