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dc.contributor.authorWendelsdorf, Katherine Veronicaen_US
dc.date.accessioned2014-03-14T20:18:54Z
dc.date.available2014-03-14T20:18:54Z
dc.date.issued2011-11-08en_US
dc.identifier.otheretd-11222011-130421en_US
dc.identifier.urihttp://hdl.handle.net/10919/29717
dc.description.abstractThe scientific method requires the creation of a unifying hypothesis that reconciles an observed health outcome of infection with experimental data gathered about the disease process following infection. In this era of unprecedented amounts of data and information for various disease models, the creation and articulation of such hypothesis are often beyond human capacity. Modeling offers a means to generate hypothesis that provide complex mechanisms that reconcile seemingly contradictory data as well as quantitatively assess the relative plausibility of different mechanisms proposed to explain the same data/health outcome association. Here I explain the modeling approach to hypothesis generation and offer several examples of its implementation to address the role of the natural host immune response in determining outcomes of infection by a specific microbe including pathogenesis and microbial clearance. Such knowledge is key to devising sophisticated disease intervention strategies. The systems studied are i) Inflammatory Bowel Disease, where I explore mechanisms of inflammation regulation and how they break down to give rise to a chronic inflammatory disease, ii)H. pylori infection, in which I explore potential bacterial strategies for persistence as a commensal of the microflora or as a pathogen, and iii) HIV infection, where I explore the role of inflammatory and anti-inflammatory mechanisms in establishing viral infection. I present both mathematical, equation based models as well as agent-based, computational models offering a comparison of each method.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartDisseration_KVW.pdfen_US
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Virginia Tech or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectinflammationen_US
dc.subjectsimulationen_US
dc.subjectimmunopathologyen_US
dc.titleModels of the Mucosal Inflammatory and Regulatory Immune Pathways: The Role of Host Response in Microbial Persistence and Pathogenesisen_US
dc.typeDissertationen_US
dc.contributor.departmentGenetics, Bioinformatics, and Computational Biologyen_US
dc.description.degreePh. D.en_US
thesis.degree.namePh. D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineGenetics, Bioinformatics, and Computational Biologyen_US
dc.contributor.committeememberBanks, Harvey T.en_US
dc.contributor.committeememberLeRoith, Tanyaen_US
dc.contributor.committeememberLi, Liwuen_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-11222011-130421/en_US
dc.contributor.committeecochairEubank, Stephenen_US
dc.contributor.committeecochairMarathe, Madhav V.en_US
dc.date.sdate2011-11-22en_US
dc.date.rdate2011-12-13
dc.date.adate2011-12-13en_US


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