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Related Experiment Video

Updated: Mar 2, 2026

Model of Ischemic Heart Disease and Video-Based Comparison of Cardiomyocyte Contraction Using hiPSC-Derived Cardiomyocytes

Model of Ischemic Heart Disease and Video-Based Comparison of Cardiomyocyte Contraction Using hiPSC-Derived Cardiomyocytes

Published on: May 5, 2020

Modeling oxygen requirements in ischemic cardiomyocytes.

Anthony D McDougal¹, C Forbes Dewey²

¹Departments of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139.

The Journal of Biological Chemistry

|May 11, 2017

Summary

This summary is machine-generated.

This study models cardiomyocyte metabolism to predict energy levels during heart attacks. Even low oxygen levels can sustain heart cells, suggesting collateral circulation is vital during ischemia/reperfusion injury.

Keywords:

ATP anaerobic glycolysis cardiac metabolism cardiomyocyte computational biology computer modeling glycolysis heart hypoxia ischemia

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Last Updated: Mar 2, 2026

Model of Ischemic Heart Disease and Video-Based Comparison of Cardiomyocyte Contraction Using hiPSC-Derived Cardiomyocytes

Model of Ischemic Heart Disease and Video-Based Comparison of Cardiomyocyte Contraction Using hiPSC-Derived Cardiomyocytes

Published on: May 5, 2020

In vitro Assessment of Myocardial Protection following Hypothermia-Preconditioning in a Human Cardiac Myocytes Model

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Published on: October 27, 2020

Analyzing Oxygen Consumption Rate in Primary Cultured Mouse Neonatal Cardiomyocytes Using an Extracellular Flux Analyzer

Analyzing Oxygen Consumption Rate in Primary Cultured Mouse Neonatal Cardiomyocytes Using an Extracellular Flux Analyzer

Published on: February 13, 2019

Area of Science:

Cardiovascular Biology
Metabolic Modeling
Computational Biology

Background:

Heart disease is a leading global cause of death.
Ischemia/reperfusion injury significantly damages the heart.
Predicting cardiomyocyte metabolic state during ischemia is challenging.

Purpose of the Study:

To explore cardiomyocyte energetic sustainability during hypoxia.
To model cellular metabolism and predict ATP levels.
To understand metabolic responses to ischemia and reperfusion.

Main Methods:

Modeled cardiomyocyte glycolytic metabolism using coupled ordinary differential equations.
Simulated reduced oxygen levels and ATP consumption rates.
Tracked intracellular biochemical species over time.

Main Results:

Identified a transition point between sustainable and unsustainable ATP concentrations.
Demonstrated that low oxygen concentrations can support essential cellular functions.
Found a near-linear relationship between oxygen levels and ATP consumption rate for sustainability.
Calculated a critical extracellular O2 concentration of ~0.007 mm for non-beating cardiomyocytes.

Conclusions:

The model predicts cardiomyocyte condition during ischemia.
Low oxygen levels can sustain basic energy needs, highlighting collateral circulation's importance.
The model offers a framework for testing interventions against reperfusion injury.