Simulation of A Gastric Smooth Muscle Cell Model Utilizing the Electrophysiological Parameters of Colon Cell

Autor: Hossein Taghadosi, Farhad Tabatabai Ghomsheh, Aydin Farajidavar
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Frontiers in Biomedical Technologies, Vol 10, Iss 3 (2023)
Druh dokumentu: article
ISSN: 2345-5837
DOI: 10.18502/fbt.v10i3.13148
Popis: Purpose: Mathematical simulating and computer modeling of cells in organs help to better understand cells' interactions and tissues' functions. The purpose of this paper was to model and simulate the excitable membrane of gastric cells. In this simulation, the current physiological functional descriptions of the gastric cells have been used, and at the same time, the electrophysiological characteristics of similar cells in the gastrointestinal tract have also been considered. Materials and Methods: To obtain a mathematical model for the stomach Smooth Muscle Cells (SMCs), the properties and electrophysiological parameters from the SMCs in the colon were used in the simulation of the stomach SMCs. Using the sensitivity analysis method, the effective parameters and values for simulating the electrophysiological behavior of the excitable gastric cell membrane were obtained for different phases of slow-wave (such as Depolarization, Spike, Plateau, Repolarization, and Rest). Also, the Action Potential Duration (APDs) method in four modes of 10, 20, 50, and 90 percent of APDs was used to evaluate the estimation of the effect of sensitivity analysis on the slow-wave of the studied cells. Results: The findings showed that the greatest effect of the stimulation current parameters was on the slow-wave duration and frequency. In addition, the greatest effect of ion channel parameters was observed on the plateau_phase in the slow-wave. Based on these methods, the resulting slow-wave pattern and its frequency (2.8 cycles per min) were in line with the experimental observations for gastric SMCs. Conclusion: The mathematical model obtained from the model of colon SMCs accurately represented the electrophysiological behavior of the stomach cells.
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