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Dynamical conditions for the containment of HIV infection by CD8+ T Cells — A variable structure control approach

Anelone, AJN; Spurgeon, SK; (2018) Dynamical conditions for the containment of HIV infection by CD8+ T Cells — A variable structure control approach. In: Proceedings of the 2017 IEEE 56th Annual Conference on Decision and Control (CDC). (pp. pp. 4100-4105). IEEE: Melbourne, Australia. Green open access

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Abstract

In the study of the Human Immunodeficiency Virus (HIV) infection dynamics, the reproductive ratio is a well-known tool which provides a steady-state condition to determine the outcome of the infection. This paper assesses the control of HIV by the immune response. Dynamical conditions for the containment of HIV infection by the HIV-specific CD8+ T cell response are evaluated using a model of HIV dynamics in vivo in which HIV-infected cells are killed before they start producing new virion. The reachability paradigm from Variable Structure Control (VSC) theory is used to formulate a dynamical condition for immunity. Simulation results show that this reachability condition effectively monitors the immunological requirements to contain HIV. This work also suggests that the cytolytic killing mechanism of CD8+ T cells operates as a boundary layer control to contain HIV infection. Together, the findings indicate that in contrast to the reproductive ratio, the proposed VSC approach delivers a framework to assess the effects of nonlinear dynamics and uncertainty as well as providing a means to investigate immunotherapy strategies.

Type: Proceedings paper
Title: Dynamical conditions for the containment of HIV infection by CD8+ T Cells — A variable structure control approach
Event: 2017 IEEE 56th Annual Conference on Decision and Control (CDC)
Location: Melbourne, Australia
Dates: 12 December 2017 - 15 December 2017
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/CDC.2017.8264261
Publisher version: https://doi.org/10.1109/CDC.2017.8264261
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Immune system, Sociology, Statistics, In vivo, Steady-state, Mathematical model
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/10039055
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