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Global cardiac function: mechano-energetico-informatics
1National Cardiovascular Center (NCVC), Research Institute, 5-7-1 Fujishirodai, Suita, Osaka 565-8565, Japan. hsuga@ri.ncvc.go.jp
Journal of Biomechanics
|April 16, 2003
Summary
This review introduces novel cardiac function metrics, including end-systolic maximum elastance (Emax) and pressure-volume area (PVA), to assess ventricular contractility and energetics.
Area of Science:
- Cardiovascular Physiology
- Cardiac Mechanics
- Bioenergetics
Background:
- Understanding global cardiac function requires integrating mechanics, energetics, and informatics.
- Previous research established end-systolic maximum elastance (Emax) as a key index of ventricular contractility.
Purpose of the Study:
- To review the development and application of Emax and pressure-volume area (PVA) for assessing cardiac function.
- To explore the relationship between Emax, PVA, and oxygen consumption (V(O(2))) in various cardiac conditions.
- To investigate the cross-bridge behavior basis of Emax and develop integrative analyses for excitation-contraction coupling.
Main Methods:
- Utilized canine hearts to establish Emax as a measure of ventricular contractility.
- Expanded Emax to PVA to quantify total mechanical energy during ventricular contraction.
- Analyzed the relationship between Emax, PVA, and V(O(2)) in different pathophysiological states.
- Examined X-ray diffraction of papillary muscle to understand Emax at the cross-bridge level.
- Developed an integrative analysis using Emax-PVA-V(O(2)) to estimate calcium recruitment in excitation-contraction coupling.
Main Results:
- Emax was validated as a reliable index of ventricular contractility.
- PVA emerged as a robust measure of total mechanical energy, correlating with ventricular energetics and V(O(2)).
- Emax was found to modulate the V(O(2))-PVA relationship, with varying dependencies in different heart conditions.
- Insights into the cross-bridge mechanisms underlying Emax were gained.
- A novel integrative analysis was established to quantify calcium dynamics during cardiac contraction.
Conclusions:
- The developed mechano-energetico-informatic approaches provide a comprehensive framework for understanding cardiac function.
- These methods are crucial for advancing cardiac physiology in the post-genomic era, requiring integrated physiomic knowledge.
- The findings facilitate a deeper understanding of cardiac energetics and excitation-contraction coupling.