Related Experiment Video
Updated: Sep 10, 2025
12:16
Production, Characterization and Potential Uses of a 3D Tissue-engineered Human Esophageal Mucosal Model
Published on: May 18, 2015
10.6K
A mathematical model of human oesophageal motility function
Takashi Miura1, Hiroshi Ishii2, Yoshitaka Hata3
1Department of Anatomy and Cell Biology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Fukuoka Prefecture, Japan.
Royal Society Open Science
|August 22, 2025
Summary
This study introduces a mathematical model for human esophageal motility, simulating normal function and disorders. The model aids in understanding esophageal peristalsis and its pathological patterns.
Area of Science:
- Gastroenterology
- Computational Biology
- Neuroscience
Background:
- Esophageal peristalsis and its disorders have unique characteristics, but a unifying framework for motility patterns is missing.
- Understanding the complex interplay of neural and muscular components in esophageal function is crucial.
Purpose of the Study:
- To propose a simple mathematical model of human esophageal motility.
- To analyze and reproduce normal and pathological esophageal motility patterns using computational methods.
Main Methods:
- Developed a mathematical model incorporating central nervous system signals, enteric nervous system neurons, and esophageal smooth muscles.
- Implemented excitable dynamics for the esophageal body and toggle-switch dynamics for the lower esophageal sphincter.
- Incorporated local signal transmission and 'the law of the intestine' principles.
Main Results:
- Successfully reproduced physiological dynamics of normal esophageal peristalsis, including deglutitive inhibition and sphincter function.
- Replicated various pathological motility patterns from the Chicago classification by adjusting model parameters.
- Demonstrated the model's ability to provide insights into the pathogenesis of esophageal motility disorders.
Conclusions:
- The proposed mathematical model offers a framework for understanding esophageal motility.
- The model successfully simulates normal physiological function and diverse pathological patterns.
- This computational approach may elucidate the underlying mechanisms of esophageal motility disorders.
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