Post-viva seminar | The development of a mathematical modelling framework to translate TB vaccine responses between species and predict the most immunogenic dose in humans using animal data
Vaccine dosing decision making employs relatively antiquated methods compared to the methods employed for drug dosing decision making. As such, we may be discarding vaccine candidates and wasting considerable resources. This failure to use modern methods may, in part, be due to the complexities in measuring a biomarker of vaccine efficacy and defining the dynamics of the immune system, but also simply a failure to harness quantitative expertise into vaccine research. We challenge this status quo by translating the mathematical frameworks used for drug dosing to optimize vaccine dosing decision making, and launch the new field of immunostimulation/immunodynamic (IS/ID) modelling. In the work presented here, we focus applying these methods to two tuberculosis vaccines; licensed vaccine, BCG and novel subunit vaccine, H56 adjuvanted with IC31. There were two aims: 1. develop an IS/ID model to describe BCG immune responses in humans and macaques and identify the most representative macaque subpopulation for human responses; 2. use IS/ID modelling calibrated to mouse multi-dose response data from the novel TB vaccine H56 to predict human dose-dependent response dynamics. In this seminar I present the data, methods and results used to achieve these aims, discussion of the results and future work.
Speaker: Sophie Rhodes
Date: 28 November 2017
Time: 12:45 – 13:45
Venue: LG6, Keppel Street
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