文章基本信息

标题：Mathematical model of chronic pancreatitis
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作者：Wenrui Hao ; Hannah M. Komar ; Phil A. Hart 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2017
卷号：114
期号：19
页码：5011-5016
DOI：10.1073/pnas.1620264114
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：Chronic pancreatitis (CP) is a progressive inflammatory disease of the pancreas, leading to its fibrotic destruction. There are currently no drugs that can stop or slow the progression of the disease. The etiology of the disease is multifactorial, whereas recurrent attacks of acute pancreatitis are thought to precede the development of CP. A better understanding of the pathology of CP is needed to facilitate improved diagnosis and treatment strategies for this disease. The present paper develops a mathematical model of CP based on a dynamic network that includes macrophages, pancreatic stellate cells, and prominent cytokines that are present at high levels in the CP microenvironment. The model is represented by a system of partial differential equations. The model is used to explore in silico potential drugs that could slow the progression of the disease, for example infliximab (anti-TNF- α ) and tocilizumab or siltuximab (anti-IL-6/IL-6R).
关键词：mathematical model ; chronic pancreatitis ; drug studies