Literature DB >> 32125535

Varying Inoculum Dose to Assess the Roles of the Immune Response and Target Cell Depletion by the Pathogen in Control of Acute Viral Infections.

James R Moore1, Hasan Ahmed2, Balaji Manicassamy3, Adolfo Garcia-Sastre4, Andreas Handel5, Rustom Antia2.   

Abstract

It is difficult to determine whether an immune response or target cell depletion by the infectious agent is most responsible for the control of acute primary infection. Both mechanisms can explain the basic dynamics of an acute infection-exponential growth of the pathogen followed by control and clearance-and can also be represented by many different differential equation models. Consequently, traditional model comparison techniques using time series data can be ambiguous or inconclusive. We propose that varying the inoculum dose and measuring the subsequent infectious load can rule out target cell depletion by the pathogen as the main control mechanism. Infectious load can be any measure that is proportional to the number of infected cells, such as viraemia. We show that a twofold or greater change in infectious load is unlikely when target cell depletion controls infection, regardless of the model details. Analyzing previously published data from mice infected with influenza, we find the proportion of lung epithelial cells infected was 21-fold greater (95% confidence interval 14-32) in the highest dose group than in the lowest. This provides evidence in favor of an alternative to target cell depletion, such as innate immunity, in controlling influenza infections in this experimental system. Data from other experimental animal models of acute primary infection have a similar pattern.

Entities:  

Keywords:  Inoculum dose; Target cell depletion; Viral dynamics; Within-host modeling

Mesh:

Year:  2020        PMID: 32125535     DOI: 10.1007/s11538-020-00711-4

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  4 in total

1.  Zika virus dynamics: Effects of inoculum dose, the innate immune response and viral interference.

Authors:  Katharine Best; Dan H Barouch; Jeremie Guedj; Ruy M Ribeiro; Alan S Perelson
Journal:  PLoS Comput Biol       Date:  2021-01-20       Impact factor: 4.475

2.  Which 'imperfect vaccines' encourage the evolution of higher virulence?

Authors:  James J Bull; Rustom Antia
Journal:  Evol Med Public Health       Date:  2022-04-26

Review 3.  Data-driven methods for present and future pandemics: Monitoring, modelling and managing.

Authors:  Teodoro Alamo; Daniel G Reina; Pablo Millán Gata; Victor M Preciado; Giulia Giordano
Journal:  Annu Rev Control       Date:  2021-06-29       Impact factor: 6.091

4.  Timing HIV infection with a simple and accurate population viral dynamics model.

Authors:  Daniel B Reeves; Morgane Rolland; Bethany L Dearlove; Yifan Li; Merlin L Robb; Joshua T Schiffer; Peter Gilbert; E Fabian Cardozo-Ojeda; Bryan T Mayer
Journal:  J R Soc Interface       Date:  2021-06-30       Impact factor: 4.293

  4 in total

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