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Experimental data used in mathematical modeling

Citation

Chen-Izu, Ye (2022), Experimental data used in mathematical modeling, Dryad, Dataset, https://doi.org/10.25338/B8T935

Abstract

The heart pumps blood into circulation against vascular resistance and actively regulates the contractile force to compensate for mechanical load changes. Our experimental data show that cardiomyocytes have a mechano-chemo-transduction (MCT) mechanism that increases intracellular Ca2+ transients to enhance contractility in response to increased mechanical load. This study advances the cardiac excitation-Ca2+ signaling-contraction (E-C) coupling model on conceptual and technical fronts. First, we developed analytical and computational models to perform 3-dimensional mechanical analysis of cardiomyocytes contracting in a viscoelastic medium under mechanical load. Next, we proposed an MCT feedback loop in the E-C coupling dynamic system to shift the feedforward paradigm of cardiac E-C coupling to an autoregulation model. Our combined modeling and experimental studies reveal that MCT enables autoregulation of E-C coupling and contractility in single cardiomyocytes, which underlies the heart's intrinsic autoregulation in compensatory response to load changes in order to maintain the stroke volume and cardiac output.

Methods

This paper focuses on developing analytic and computational models. The model formulation and parameters are based on experimental data. These experimental data have been previously published in experimental papers and cited in this modeling paper. Here we deposit the relevant experimental data used for modeling in the present paper.

Usage Notes

Microsoft Excel.

Funding

National Institutes of Health