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Virginia Tech

Systems Immunology Approaches for Precision Medicine

Abstract

dc:description.abstract

The mucosal immune system encompasses a wide array of interactions that work in concert to protect an individual from harmful agents while retaining tolerance to molecules, microbes, and self-antigens that present no danger. The upheaval in the regulation-response balance is a critical aspect in both infectious and immune-mediated disease. To understand this balance and methods of its restoration, iterative and integrative modeling cycles on the pathogenesis of disease are necessary. In this thesis, I present three studies highlighting phases of a systems immunology cycle. Firstly, the thesis provides a description of the construction of a computational ordinary differential equation based model on the host-pathogen-microbiota interactions during Clostridium difficile infection and the use of this model for the development of the hypothesis that host-antimicrobial peptide production may correlate with increased disease severity and promote increased recurrence. Secondly, it provides insight into the necessity of trans-disciplinary analysis for the understanding of novel molecular targets in disease through the immunometabolic regulation of CD4+ T cell by NLRX1 in inflammatory bowel disease. Third, it provides the assessment of novel therapeutics in disease through the evaluation of LANCL2 activation in influenza virus infection. In total, the computational and experimental strategies used in this dissertation are critical foundational pieces in the framework of precision medicine initiatives that can assist in the diagnosis, understanding, and treatment of disease.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Genetics, Bioinformatics, and Computational Biology
Department dc:contributor.department
Animal and Poultry Sciences
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Leber, Andrew James
Chair dc:contributor.committeechair
  • Bassaganya-Riera, Josep
Committee members dc:contributor.committeemember
  • Abedi, Vida
  • Bevan, David R.
  • Hontecillas-Magarzo, Raquel

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:10657
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/78233

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Leber, Andrew James. Systems Immunology Approaches for Precision Medicine. doctoral thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78233