Leber, Andrew James.
Systems Immunology Approaches for Precision Medicine.
Degree: PhD, Animal and Poultry Sciences, 2017, Virginia Tech
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.
Advisors/Committee Members: Bassaganya-Riera, Josep (committeechair), Abedi, Vida (committee member), Bevan, David R (committee member), Hontecillas-Magarzo, Raquel (committee member).
Subjects/Keywords: Clostridium difficile; inflammatory bowel disease; influenza; computational modeling; immunology
to Zotero / EndNote / Reference
APA (6th Edition):
Leber, A. J. (2017). Systems Immunology Approaches for Precision Medicine. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78233
Chicago Manual of Style (16th Edition):
Leber, Andrew James. “Systems Immunology Approaches for Precision Medicine.” 2017. Doctoral Dissertation, Virginia Tech. Accessed December 18, 2017.
MLA Handbook (7th Edition):
Leber, Andrew James. “Systems Immunology Approaches for Precision Medicine.” 2017. Web. 18 Dec 2017.
Leber AJ. Systems Immunology Approaches for Precision Medicine. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2017 Dec 18].
Available from: http://hdl.handle.net/10919/78233.
Council of Science Editors:
Leber AJ. Systems Immunology Approaches for Precision Medicine. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78233