» Articles » PMID: 33327568

Geometric Understanding of Local Fluctuation Distribution of Conduction Time in Lined-Up Cardiomyocyte Network in Agarose-Microfabrication Multi-Electrode Measurement Assay

Overview
Publisher MDPI
Date 2020 Dec 17
PMID 33327568
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

We examined characteristics of the propagation of conduction in width-controlled cardiomyocyte cell networks for understanding the contribution of the geometrical arrangement of cardiomyocytes for their local fluctuation distribution. We tracked a series of extracellular field potentials of linearly lined-up human embryonic stem (ES) cell-derived cardiomyocytes and mouse primary cardiomyocytes with 100 kHz sampling intervals of multi-electrodes signal acquisitions and an agarose microfabrication technology to localize the cardiomyocyte geometries in the lined-up cell networks with 100-300 μm wide agarose microstructures. Conduction time between two neighbor microelectrodes (300 μm) showed Gaussian distribution. However, the distributions maintained their form regardless of its propagation distances up to 1.5 mm, meaning propagation diffusion did not occur. In contrast, when Quinidine was applied, the propagation time distributions were increased as the faster firing regulation simulation predicted. The results indicate the "faster firing regulation" is not sufficient to explain the conservation of the propagation time distribution in cardiomyocyte networks but should be expanded with a kind of community effect of cell networks, such as the lower fluctuation regulation.

Citing Articles

The adipose-neural axis is involved in epicardial adipose tissue-related cardiac arrhythmias.

Fan Y, Huang S, Li S, Wu B, Zhao Q, Huang L Cell Rep Med. 2024; 5(5):101559.

PMID: 38744275 PMC: 11148799. DOI: 10.1016/j.xcrm.2024.101559.


Importance of Spatial Arrangement of Cardiomyocyte Network for Precise and Stable On-Chip Predictive Cardiotoxicity Measurement.

Sakamoto K, Matsumoto S, Abe N, Sentoku M, Yasuda K Micromachines (Basel). 2023; 14(4).

PMID: 37421087 PMC: 10143097. DOI: 10.3390/mi14040854.


In Situ Agarose Microfabrication Technology Using Joule Heating of Micro Ionic Current for On-Chip Cell Network Analysis.

Shimoda K, Watanabe H, Hondo Y, Sentoku M, Sakamoto K, Yasuda K Micromachines (Basel). 2022; 13(2).

PMID: 35208299 PMC: 8880086. DOI: 10.3390/mi13020174.


Editorial for the Special Issue on Biosensors and MEMS-Based Diagnostic Applications.

Altintas Z Micromachines (Basel). 2021; 12(3).

PMID: 33668692 PMC: 7996332. DOI: 10.3390/mi12030229.

References
1.
Kojima K, Moriguchi H, Hattori A, Kaneko T, Yasuda K . Two-dimensional network formation of cardiac myocytes in agar microculture chip with 1480 nm infrared laser photo-thermal etching. Lab Chip. 2004; 3(4):292-6. DOI: 10.1039/b304652d. View

2.
Hayashi T, Tokihiro T, Kurihara H, Yasuda K . Community effect of cardiomyocytes in beating rhythms is determined by stable cells. Sci Rep. 2017; 7(1):15450. PMC: 5684290. DOI: 10.1038/s41598-017-15727-5. View

3.
Lang E, Rosenbluth J . Role of myelination in the development of a uniform olivocerebellar conduction time. J Neurophysiol. 2003; 89(4):2259-70. DOI: 10.1152/jn.00922.2002. View

4.
Kojima K, Kaneko T, Yasuda K . Role of the community effect of cardiomyocyte in the entrainment and reestablishment of stable beating rhythms. Biochem Biophys Res Commun. 2006; 351(1):209-15. DOI: 10.1016/j.bbrc.2006.10.037. View

5.
Nozaki Y, Honda Y, Watanabe H, Saiki S, Koyabu K, Itoh T . CSAHi study: Validation of multi-electrode array systems (MEA60/2100) for prediction of drug-induced proarrhythmia using human iPS cell-derived cardiomyocytes -assessment of inter-facility and cells lot-to-lot-variability. Regul Toxicol Pharmacol. 2016; 77:75-86. DOI: 10.1016/j.yrtph.2016.02.007. View