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Exploring cardiac form and function: A length-scale computational biology approach.

William F Sherman^1,2, Anna Grosberg^1,2,3,4,5

¹Center for Complex Biological Systems, University of California Irvine, Irvine, California.

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|December 4, 2019

Summary

Researchers are using systems biology and mathematical models to understand how mechanical signals in engineered heart tissue can guide self-organization for better cardiac disease research and therapies.

Keywords:

cardiac modeling deterministic models model validation

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Area of Science:

Cardiac physiology and systems biology
Biomedical engineering and tissue engineering
Computational modeling and simulation

Background:

Cardiac function relies on complex feedback mechanisms across multiple spatial scales.
Diseases impairing these mechanisms can lead to heart failure.
Engineered heart tissue (EHT) offers a platform for studying cardiac diseases and developing therapies.

Purpose of the Study:

To explore how mechanical signals influence self-organization in EHT.
To understand the interplay of chemical, electrical, and mechanical cues in the cellular microenvironment.
To highlight the integration of mathematical modeling and experimental techniques in cardiac research.

Main Methods:

Utilizing a systems biology approach to bridge in vitro and in vivo characteristics.
Employing mathematical models to investigate structure-function relationships across spatial scales.
Combining theoretical approaches with experimental techniques to guide tissue engineering.

Main Results:

Demonstrated the power of mathematical modeling in understanding cardiac tissue self-organization.
Showcased how different scientific disciplines can inspire new experimental avenues.
Highlighted the recapitulation of in vivo characteristics in vitro through a systems approach.

Conclusions:

Systems biology and mathematical modeling are crucial for advancing EHT research.
Understanding signal transduction across scales is key to developing functional cardiac tissues.
Interdisciplinary approaches accelerate progress in cardiac regenerative medicine and drug discovery.