Literature DB >> 26399990

Analyzing Remodeling of Cardiac Tissue: A Comprehensive Approach Based on Confocal Microscopy and 3D Reconstructions.

T Seidel1, J-C Edelmann1,2, F B Sachse1,3.   

Abstract

Microstructural characterization of cardiac tissue and its remodeling in disease is a crucial step in many basic research projects. We present a comprehensive approach for three-dimensional characterization of cardiac tissue at the submicrometer scale. We developed a compression-free mounting method as well as labeling and imaging protocols that facilitate acquisition of three-dimensional image stacks with scanning confocal microscopy. We evaluated the approach with normal and infarcted ventricular tissue. We used the acquired image stacks for segmentation, quantitative analysis and visualization of important tissue components. In contrast to conventional mounting, compression-free mounting preserved cell shapes, capillary lumens and extracellular laminas. Furthermore, the new approach and imaging protocols resulted in high signal-to-noise ratios at depths up to 60 µm. This allowed extensive analyzes revealing major differences in volume fractions and distribution of cardiomyocytes, blood vessels, fibroblasts, myofibroblasts and extracellular space in control vs. infarct border zone. Our results show that the developed approach yields comprehensive data on microstructure of cardiac tissue and its remodeling in disease. In contrast to other approaches, it allows quantitative assessment of all major tissue components. Furthermore, we suggest that the approach will provide important data for physiological models of cardiac tissue at the submicrometer scale.

Entities:  

Keywords:  Blood vessels; Fibroblasts; Myocardial infarction; Myofibroblasts; Remodeling; Segmentation

Mesh:

Year:  2015        PMID: 26399990      PMCID: PMC4805509          DOI: 10.1007/s10439-015-1465-6

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  42 in total

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Review 2.  Structural and functional characterisation of cardiac fibroblasts.

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3.  Estimating Intracellular Conductivity Tensors from Confocal Microscopy of Rabbit Ventricular Tissue.

Authors:  S Bauer; J-C Edelmann; G Seemann; F B Sachse; O Dössel
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4.  Whole-brain imaging with single-cell resolution using chemical cocktails and computational analysis.

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Journal:  Cell       Date:  2014-04-17       Impact factor: 41.582

5.  Ligation of the left circumflex coronary artery with subsequent MRI and histopathology in rabbits.

Authors:  Norman Hu; Catherine M Straub; Aida A Garzarelli; Kyle H Sabey; James W Yockman; David A Bull
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Review 6.  Origins of cardiac fibroblasts.

Authors:  Elisabeth M Zeisberg; Raghu Kalluri
Journal:  Circ Res       Date:  2010-11-26       Impact factor: 17.367

7.  Wheat germ agglutinin staining as a suitable method for detection and quantification of fibrosis in cardiac tissue after myocardial infarction.

Authors:  B Emde; A Heinen; A Gödecke; K Bottermann
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8.  Progression from compensated hypertrophy to failure in the pressure-overloaded human heart: structural deterioration and compensatory mechanisms.

Authors:  Stefan Hein; Eyal Arnon; Sawa Kostin; Markus Schönburg; Albrecht Elsässer; Victoria Polyakova; Erwin P Bauer; Wolf-Peter Klövekorn; Jutta Schaper
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9.  Quantitative analysis of cardiac tissue including fibroblasts using three-dimensional confocal microscopy and image reconstruction: towards a basis for electrophysiological modeling.

Authors:  Bettina C Schwab; Gunnar Seemann; Richard A Lasher; Natalia S Torres; Eike M Wulfers; Maren Arp; Eric D Carruth; John H B Bridge; Frank B Sachse
Journal:  IEEE Trans Med Imaging       Date:  2013-01-17       Impact factor: 10.048

10.  Nondestructive optical determination of fiber organization in intact myocardial wall.

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  16 in total

1.  Remodeling of the transverse tubular system after myocardial infarction in rabbit correlates with local fibrosis: A potential role of biomechanics.

Authors:  T Seidel; A C Sankarankutty; F B Sachse
Journal:  Prog Biophys Mol Biol       Date:  2017-07-11       Impact factor: 3.667

2.  Sheet-Like Remodeling of the Transverse Tubular System in Human Heart Failure Impairs Excitation-Contraction Coupling and Functional Recovery by Mechanical Unloading.

Authors:  Thomas Seidel; Sutip Navankasattusas; Azmi Ahmad; Nikolaos A Diakos; Weining David Xu; Martin Tristani-Firouzi; Michael J Bonios; Iosif Taleb; Dean Y Li; Craig H Selzman; Stavros G Drakos; Frank B Sachse
Journal:  Circulation       Date:  2017-01-10       Impact factor: 29.690

3.  Diffusion tensor imaging and histology of developing hearts.

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Journal:  NMR Biomed       Date:  2016-08-03       Impact factor: 4.044

4.  Remodeling of t-system and proteins underlying excitation-contraction coupling in aging versus failing human heart.

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Journal:  NPJ Aging Mech Dis       Date:  2021-05-28

5.  Analysis of Microstructure of the Cardiac Conduction System Based on Three-Dimensional Confocal Microscopy.

Authors:  Daniel Romero; Oscar Camara; Frank Sachse; Rafael Sebastian
Journal:  PLoS One       Date:  2016-10-07       Impact factor: 3.240

6.  Virtual cardiac monolayers for electrical wave propagation.

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Journal:  Sci Rep       Date:  2017-08-11       Impact factor: 4.379

7.  Confocal Microscopy-Based Estimation of Parameters for Computational Modeling of Electrical Conduction in the Normal and Infarcted Heart.

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8.  Personalized Cardiac Computational Models: From Clinical Data to Simulation of Infarct-Related Ventricular Tachycardia.

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Journal:  Front Physiol       Date:  2019-05-15       Impact factor: 4.566

9.  Comprehensive assessment of myocardial remodeling in ischemic heart disease by synchrotron propagation based X-ray phase contrast imaging.

Authors:  Ivo Planinc; Patricia Garcia-Canadilla; Hector Dejea; Ivana Ilic; Eduard Guasch; Monica Zamora; Fàtima Crispi; Marco Stampanoni; Davor Milicic; Bart Bijnens; Anne Bonnin; Maja Cikes
Journal:  Sci Rep       Date:  2021-07-07       Impact factor: 4.379

10.  Deciphering microvascular changes after myocardial infarction through 3D fully automated image analysis.

Authors:  Polyxeni Gkontra; Kerri-Ann Norton; Magdalena M Żak; Cristina Clemente; Jaume Agüero; Borja Ibáñez; Andrés Santos; Aleksander S Popel; Alicia G Arroyo
Journal:  Sci Rep       Date:  2018-01-30       Impact factor: 4.379

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