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Glucose Homeostasis: Pancreatic Islets and Insulin Secretion01:27

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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.
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Insulin secretory vesicles release insulin to stimulate blood glucose uptake and regulate carbohydrate metabolism. When the blood glucose levels increase, glucose enters the pancreatic β-islet cells through glucose transporters. Once inside, glucose is metabolized through glycolysis, the citric acid cycle, and the electron transport chain, producing ATP. This increase in ATP concentration closes ATP-sensitive potassium channels, leading to depolarization of the membrane and the opening of...
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The endoplasmic reticulum (ER) of pancreatic β-cells synthesizes preproinsulin, which consists of a signal peptide, A and B chains, and a C-peptide. Preproinsulin is then cleaved and folded into proinsulin, which translocates to the Golgi apparatus for sorting and packaging into secretory granules. In these granules, enzymatic clipping generates insulin and C-peptide.
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Feedback Loops01:01

Feedback Loops

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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.
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Related Experiment Video

Updated: Mar 20, 2026

Differentiation of Human Pluripotent Stem Cells Into Pancreatic Beta-Cell Precursors in a 2D Culture System
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Differentiation of Human Pluripotent Stem Cells Into Pancreatic Beta-Cell Precursors in a 2D Culture System

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PID-controller enhanced artificial β-cells.

Lin Liu1, Bruna Jacobson1, Darko Stefanovic1,2

  • 1Department of Computer Science, University of New Mexico, Albuquerque, New Mexico, United States of America.

Plos One
|March 18, 2026
PubMed
Summary
This summary is machine-generated.

Engineered artificial beta cells offer a novel diabetes treatment. Proportional-Integral-Derivative (PID) controllers enhance these cells, improving glucose regulation in diabetic mice by providing better control over insulin production.

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Area of Science:

  • Biomedical Engineering
  • Endocrinology
  • Systems Biology

Background:

  • Conventional diabetes management using insulin injections or pumps presents challenges in glucose level regulation.
  • Artificial beta cells offer a promising alternative for diabetes treatment by sensing glucose and producing insulin.
  • Existing artificial beta cell designs lack sufficient control for optimal glucose homeostasis.

Purpose of the Study:

  • To address the limitations of current artificial beta cell systems.
  • To propose an enhanced artificial beta cell design using Proportional-Integral-Derivative (PID) control.
  • To evaluate the efficacy of PID-controlled artificial beta cells in regulating blood glucose levels.

Main Methods:

  • Development of an analytical model for PID-controlled artificial beta cells.
  • Numerical simulations to assess the performance of the enhanced artificial beta cell system.
  • Comparison of PID-controlled artificial beta cells with conventional artificial beta cells in a simulated diabetic mouse model.

Main Results:

  • The PID-controlled artificial beta cell model demonstrates improved ability to regulate glucose levels.
  • PID control enables timely shutdown of insulin production, preventing hypoglycemia.
  • Enhanced artificial beta cells provide greater tuning space for personalized glucose management.

Conclusions:

  • PID-controlled artificial beta cells represent a significant advancement over existing designs.
  • This enhanced system offers superior glucose regulation capabilities for Type 1 diabetes.
  • The proposed model shows potential for more effective and personalized diabetes therapy.