Enteric immunity simulator: A tool for in silico study of gastroenteric infections

Katherine V. Wendelsdorf, Maksudul Alam, Josep Bassaganya-Riera, Keith Bisset, Stephen Eubank, Raquel Hontecillas, Stefan Hoops, Madhav Marathe

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Clinical symptoms of microbial infection of the gastrointestinal (GI) tract are often exacerbated by inflammation induced pathology. Identifying novel avenues for treating and preventing such pathologies is necessary and complicated by the complexity of interacting immune pathways in the gut, where effector and inflammatory immune cells are regulated by anti-inflammatory or regulatory cells. Here we present new advances in the development of the ENteric Immunity SImulator (ENISI), a simulator of GI immune mechanisms in response to resident commensal bacteria as well as invading pathogens and the effect on the development of intestinal lesions. ENISI is a tool for identifying potential treatment strategies that reduce inflammation-induced damage and, at the same time, ensure pathogen removal by allowing one to test plausibility of in vitro observed behavior as explanations for observations in vivo, propose behaviors not yet tested in vitro that could explain these tissue-level observations, and conduct low-cost, preliminary experiments of proposed interventions/treatments. An example of such application is shown in which we simulate dysentery resulting from Brachyispira hyodysenteriae infection and identify aspects of the host immune pathways that lead to continued inflammation-induced tissue damage even after pathogen elimination.

Original languageEnglish
Article number6298035
Pages (from-to)273-288
Number of pages16
JournalIEEE Transactions on Nanobioscience
Volume11
Issue number3
DOIs
StatePublished - 2012
Externally publishedYes

Funding

Manuscript received July 28, 2012; accepted August 01, 2012. Date of current version September 10, 2012. This work has been partially supported by DTRA-R&D (HPC) Award No. HDTRA1-09-1-0017, DTRA-Validation Award No. HDTRA1-11-1-0016, DTRA-CNIMS Award No. HDRTA1-11-D-0016-0001, NSF PetaApps Grant OCI-0904844, NSF Netse Grant CNS-1011769, NSF SDCI Grant OCI-1032677, NIH MIDAS project 2U01GM070694-7, and NIAID and NIH project HHSN272201000056C. Asterisk indicates corresponding author.

FundersFunder number
DTRA-R&DHDRTA1-11-D-0016-0001
National Science FoundationOCI-0904844, OCI-1032677, CNS-1011769
National Institutes of Health
National Institute of General Medical SciencesU01GM070694
National Institute of Allergy and Infectious DiseasesHHSN272201000056C

    Keywords

    • Biological systems
    • computational biology
    • multiagent systems

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