Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 114, Issue 19, Pages 5011-5016Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1620264114
Keywords
mathematical model; chronic pancreatitis; drug studies
Categories
Funding
- Mathematical Biosciences Institute
- National Science Foundation [DMS 0931642]
- National Institutes of Health [1 R01 CA208253-01, 1 R21 AI124687-01, 1 U01 DK108327-01]
- Chi Rho Clin, Inc.
Ask authors/readers for more resources
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 (antiTNF-alpha) and tocilizumab or siltuximab (anti-IL-6/ IL-6R).
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available