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胃动力自主调节的计算模型:进展、挑战与未来方向。

Computational models of autonomic regulation in gastric motility: Progress, challenges, and future directions.

作者信息

Athavale Omkar N, Avci Recep, Cheng Leo K, Du Peng

机构信息

Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.

出版信息

Front Neurosci. 2023 Mar 15;17:1146097. doi: 10.3389/fnins.2023.1146097. eCollection 2023.

DOI:10.3389/fnins.2023.1146097
PMID:37008202
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10050371/
Abstract

The stomach is extensively innervated by the vagus nerve and the enteric nervous system. The mechanisms through which this innervation affects gastric motility are being unraveled, motivating the first concerted steps towards the incorporation autonomic regulation into computational models of gastric motility. Computational modeling has been valuable in advancing clinical treatment of other organs, such as the heart. However, to date, computational models of gastric motility have made simplifying assumptions about the link between gastric electrophysiology and motility. Advances in experimental neuroscience mean that these assumptions can be reviewed, and detailed models of autonomic regulation can be incorporated into computational models. This review covers these advances, as well as a vision for the utility of computational models of gastric motility. Diseases of the nervous system, such as Parkinson's disease, can originate from the brain-gut axis and result in pathological gastric motility. Computational models are a valuable tool for understanding the mechanisms of disease and how treatment may affect gastric motility. This review also covers recent advances in experimental neuroscience that are fundamental to the development of physiology-driven computational models. A vision for the future of computational modeling of gastric motility is proposed and modeling approaches employed for existing mathematical models of autonomic regulation of other gastrointestinal organs and other organ systems are discussed.

摘要

胃受到迷走神经和肠神经系统的广泛支配。这种神经支配影响胃动力的机制正在被揭示,这推动了将自主神经调节纳入胃动力计算模型的首个协同步骤。计算建模在推进心脏等其他器官的临床治疗方面具有重要价值。然而,迄今为止,胃动力的计算模型对胃电生理学和动力之间的联系做了简化假设。实验神经科学的进展意味着这些假设可以重新审视,并且自主神经调节的详细模型可以纳入计算模型。本综述涵盖了这些进展以及胃动力计算模型的应用前景。神经系统疾病,如帕金森病,可起源于脑-肠轴并导致病理性胃动力。计算模型是理解疾病机制以及治疗如何影响胃动力的宝贵工具。本综述还涵盖了对生理学驱动的计算模型发展至关重要的实验神经科学的最新进展。提出了胃动力计算建模的未来愿景,并讨论了用于其他胃肠器官和其他器官系统自主神经调节现有数学模型的建模方法。

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Three-dimensional multi-field modelling of gastric arrhythmias and their effects on antral contractions.胃节律失常及其对胃窦收缩影响的三维多场建模。
Comput Biol Med. 2023 Feb;153:106488. doi: 10.1016/j.compbiomed.2022.106488. Epub 2022 Dec 30.
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Comparative and Evolutionary Aspects of the Digestive System and Its Enteric Nervous System Control.消化系统及其肠神经系统控制的比较与进化方面
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胃动力胃测压评估的体表面积胃映射的参考值:频谱分析。
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