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A Matched-Filter-Based Algorithm for Subcellular Classification of T-System in Cardiac Tissues.

Dylan F Colli1, S Ryan Blood1, Aparna C Sankarankutty2

  • 1Department of Chemistry, University of Kentucky, Lexington, Kentucky; Department of Chemical and Materials Engineering, University of Kentucky, Lexington, Kentucky.

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Summary

A new algorithm, MatchedMyo, accurately characterizes the cardiac T-system in both isolated cells and tissue. This tool reveals significant T-system remodeling in heart disease models, offering insights into cardiac dysfunction.

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Area of Science:

  • Cardiology
  • Cell Biology
  • Biophysics

Background:

  • The cardiac transverse tubular system (T-system) is crucial for excitation-contraction coupling in cardiomyocytes.
  • T-system perturbations are implicated in cardiac diseases, leading to inefficient contraction.
  • Existing characterization methods lack subcellular resolution and fail to detect heterogeneity.

Purpose of the Study:

  • To develop and validate MatchedMyo, a novel algorithm for subcellular T-system characterization.
  • To quantify T-system remodeling in cardiac disease models at cellular and tissue levels.
  • To assess the T-system's structural changes in response to myocardial infarction and dilated cardiomyopathy.

Main Methods:

  • Development of a matched-filter-based algorithm (MatchedMyo) for T-system analysis.
  • Application of MatchedMyo to isolated rat cardiomyocytes from myocardial infarction (MI) and aortic banding models.
  • Analysis of millimeter-scale myocardial sections from rabbit MI models using bootstrapping.

Main Results:

  • MatchedMyo successfully characterized T-system structure, including transverse tubules (TTs) and longitudinal tubules (LTs).
  • Significant T-system remodeling was observed in MI and dilated cardiomyopathy models, with increased LT density and decreased TTs near infarcts.
  • A 46.6% decrease in TTs was detected in proximal rabbit MI tissue compared to distal sections.

Conclusions:

  • MatchedMyo provides a robust and scalable method for T-system characterization across different scales.
  • Subcellular T-system heterogeneity and remodeling are key features of cardiac disease.
  • This algorithm can advance our understanding of cardiac function and disease mechanisms.