Multiscale Modeling of Cardiovascular Function Predicts That the End-Systolic Pressure Volume Relationship Can Be Targeted via Multiple Therapeutic Strategies

Kenneth S. Campbell, Brianna Sierra Chrisman, Stuart G. Campbell

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Most patients who develop heart failure are unable to elevate their cardiac output on demand due to impaired contractility and/or reduced ventricular filling. Despite decades of research, few effective therapies for heart failure have been developed. In part, this may reflect the difficulty of predicting how perturbations to molecular-level mechanisms that are induced by drugs will scale up to modulate system-level properties such as blood pressure. Computer modeling might help with this process and thereby accelerate the development of better therapies for heart failure. This manuscript presents a new multiscale model that uses a single contractile element to drive an idealized ventricle that pumps blood around a closed circulation. The contractile element was formed by linking an existing model of dynamically coupled myofilaments with a well-established model of myocyte electrophysiology. The resulting framework spans from molecular-level events (including opening of ion channels and transitions between different myosin states) to properties such as ejection fraction that can be measured in patients. Initial calculations showed that the model reproduces many aspects of normal cardiovascular physiology including, for example, pressure-volume loops. Subsequent sensitivity tests then quantified how each model parameter influenced a range of system level properties. The first key finding was that the End Systolic Pressure Volume Relationship, a classic index of cardiac contractility, was ∼50% more sensitive to parameter changes than any other system-level property. The second important result was that parameters that primarily affect ventricular filling, such as passive stiffness and Ca2+ reuptake via sarco/endoplasmic reticulum Ca2+-ATPase (SERCA), also have a major impact on systolic properties including stroke work, myosin ATPase, and maximum ventricular pressure. These results reinforce the impact of diastolic function on ventricular performance and identify the End Systolic Pressure Volume Relationship as a particularly sensitive system-level property that can be targeted using multiple therapeutic strategies.

Original languageEnglish
Article number1043
JournalFrontiers in Physiology
Volume11
DOIs
StatePublished - Aug 19 2020

Bibliographical note

Funding Information:
Funding. KC acknowledged support from the National Institutes of Health Grant Nos. TR033173, HL133359, and HL146676. SC acknowledged support from the National Institutes of Health Grant No. HL136590.

Publisher Copyright:
© Copyright © 2020 Campbell, Chrisman and Campbell.

Keywords

  • Frank-Starling
  • cardiac function
  • computer modeling
  • multiscale modeling
  • ventricular function

ASJC Scopus subject areas

  • Physiology
  • Physiology (medical)

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