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Three-Dimensional Modeling and Quantitative Analysis of Gap Junction Distributions in Cardiac Tissue

Lackey, Daniel P. ; Carruth, Eric D. ; Lasher, Richard A. ; Boenisch, Jan ; Sachse, Frank B. ; Hitchcock, Robert W.

Annals of biomedical engineering, 2011-11, Vol.39 (11), p.2683-2694 [Periódico revisado por pares]

Boston: Springer US

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Título:
Three-Dimensional Modeling and Quantitative Analysis of Gap Junction Distributions in Cardiac Tissue
Autor: Lackey, Daniel P. ; Carruth, Eric D. ; Lasher, Richard A. ; Boenisch, Jan ; Sachse, Frank B. ; Hitchcock, Robert W.
Assuntos: Algorithms ; Animals ; Biochemistry ; Biological and Medical Physics ; Biomedical and Life Sciences ; Biomedical Engineering and Bioengineering ; Biomedicine ; Biophysics ; Cell Membrane - metabolism ; Classical Mechanics ; Connexin 43 - analysis ; Connexin 43 - metabolism ; Gap Junctions - metabolism ; Gap Junctions - ultrastructure ; Heart diseases ; Humans ; Imaging, Three-Dimensional - methods ; Methodology ; Microscopy, Confocal ; Myocardium ; Myocytes, Cardiac - metabolism ; Polarization ; Quantitative analysis ; Rats ; Reconstruction ; Three dimensional
É parte de: Annals of biomedical engineering, 2011-11, Vol.39 (11), p.2683-2694
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SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descrição: Gap junctions play a fundamental role in intercellular communication in cardiac tissue. Various types of heart disease including hypertrophy and ischemia are associated with alterations of the spatial arrangement of gap junctions. Previous studies applied two-dimensional optical and electron-microscopy to visualize gap junction arrangements. In normal cardiomyocytes, gap junctions were primarily found at cell ends, but can be found also in more central regions. In this study, we extended these approaches toward three-dimensional reconstruction of gap junction distributions based on high-resolution scanning confocal microscopy and image processing. We developed methods for quantitative characterization of gap junction distributions based on analysis of intensity profiles along the principal axes of myocytes. The analyses characterized gap junction polarization at cell ends and higher-order statistical image moments of intensity profiles. The methodology was tested in rat ventricular myocardium. Our analysis yielded novel quantitative data on gap junction distributions. In particular, the analysis demonstrated that the distributions exhibit significant variability with respect to polarization, skewness, and kurtosis. We suggest that this methodology provides a quantitative alternative to current approaches based on visual inspection, with applications in particular in characterization of engineered and diseased myocardium. Furthermore, we propose that these data provide improved input for computational modeling of cardiac conduction.
Editor: Boston: Springer US
Idioma: Inglês

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Three-Dimensional Modeling and Quantitative Analysis of Gap Junction Distributions in Cardiac Tissue

Lackey, Daniel P. ; Carruth, Eric D. ; Lasher, Richard A. ; Boenisch, Jan ; Sachse, Frank B. ; Hitchcock, Robert W.

Boston: Springer US

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