COVID-19 virtual patient cohort suggests immune mechanisms driving disease outcomes
Department(s)
Natural Science
Document Type
Article
Publication Date
7-1-2021
Abstract
To understand the diversity of immune responses to SARS-CoV-2 and distinguish features that predispose individuals to severe COVID-19, we developed a mechanistic, within-host mathematical model and virtual patient cohort. Our results suggest that virtual patients with low production rates of infected cell derived IFN subsequently experienced highly inflammatory disease phenotypes, compared to those with early and robust IFN responses. In these in silico patients, the maximum concentration of IL-6 was also a major predictor of CD8+ T cell depletion. Our analyses predicted that individuals with severe COVID-19 also have accelerated monocyte-to-macrophage differentiation mediated by increased IL-6 and reduced type I IFN signalling. Together, these findings suggest biomarkers driving the development of severe COVID-19 and support early interventions aimed at reducing inflammation.
Publication Title
PLoS Pathogens
ISSN
15537366
E-ISSN
15537374
Volume
17
Issue
7
DOI
10.1371/journal.ppat.1009753
PubMed ID
34260666
Recommended Citation
Jenner, Adrianne L.; Aogo, Rosemary A.; Alfonso, Sofia; Crowe, Vivienne; Deng, Xiaoyan; Smith, Amanda P.; Morel, Penelope A.; Davis, Courtney L.; Smith, Amber M.; and Craig, Morgan, "COVID-19 virtual patient cohort suggests immune mechanisms driving disease outcomes" (2021). Pepperdine University, All Faculty Open Access Publications. Paper 222.
https://digitalcommons.pepperdine.edu/faculty_pubs/222