Contributors
Catherine Beauchemin, Ryerson University. Title: Isolating and quantifying the efficacy of virus replication steps
Austin J Baird, PhD, Research Assistant Professor, Division of Healthcare Simulation Sciences, Department of Surgery | UW Medicine. Title: Modeling the whole-body response to infection and associated acute inflammation, investigating clinical treatments and outcomes.
Austin J Baird, PhD, Research Assistant Professor, Division of Healthcare Simulation Sciences, Department of Surgery | UW Medicine. Title: Modeling the whole-body response to infection and associated acute inflammation, investigating clinical treatments and outcomes.
Institution/ Affiliation
Catherine Beauchemin, Ryerson University.
Austin J Baird, PhD, Research Assistant Professor, Division of Healthcare Simulation Sciences, Department of Surgery | UW Medicine.
Austin J Baird, PhD, Research Assistant Professor, Division of Healthcare Simulation Sciences, Department of Surgery | UW Medicine.
Presentation Details (date, conference, etc.)
January 20, 2022, IMAG/MSM WG on Multiscale Modeling and Viral Pandemics
- Catherine Beauchemin, Ryerson University, Toronto, Canada. Title: Isolating and quantifying the efficacy of virus replication steps. Abstract: We have arrived at a small set of simple in vitro experiments which, combined with a mathematical analysis, allow us to isolate and quantify the properties of key steps in the virus replication cycle. I will introduce this framework and demonstrate the insights it provides through its application to identify the effect of either a single amino acid viral mutations or the efficacy of an antiviral compound. I will also introduce our new, more biologically meaningful measure of a virus sample's infectivity using the TCID50 assay. YouTube and Slides. Check out midSIN here.
- Austin J Baird, PhD, Research Assistant Professor , Division of Healthcare Simulation Sciences, Department of Surgery | Univ. Washington Medicine. Title: Modeling the whole-body response to infection and associated acute inflammation, investigating clinical treatments and outcomes. Abstract: I will present a model of inflammation in the BioGears human physiology engine and the impact on treatment to the patient. This model considers a wide range of pro- and anti-inflammatory mediators implicated in human models of inflammation, such as tumor necrosis factor alpha (TNF) and interleukins 6 and 10 (IL-6, IL-10). Consideration of these factors in conjunction with activation of macrophages and neutrophils increases the variability in virtual patient outcomes supported by the model. We present an analysis of IL-6 and IL-10 regarding typical treatment protocols for septic patients. Of critical importance to the usefulness of this model, I’ll show how virtual patient outcomes differ according to model parameterization and the timing and types of actions applied. I’ll try and showcase how models of the nervous system, blood gas, and local autoregulatory function all play a role in impacting the patient response. I’ll also present how distinct inflammatory responses can be generated from the same level of infection by varying a small subset of model parameters. YouTube and Slides.
https://github.com/BioGearsEngine/