TY - JOUR
T1 - Varying Inoculum Dose to Assess the Roles of the Immune Response and Target Cell Depletion by the Pathogen in Control of Acute Viral Infections
AU - Moore, James R.
AU - Ahmed, Hasan
AU - Manicassamy, Balaji
AU - Garcia-Sastre, Adolfo
AU - Handel, Andreas
AU - Antia, Rustom
N1 - Publisher Copyright:
© 2020, Society for Mathematical Biology.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - 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.
AB - 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.
KW - Inoculum dose
KW - Target cell depletion
KW - Viral dynamics
KW - Within-host modeling
UR - http://www.scopus.com/inward/record.url?scp=85080972210&partnerID=8YFLogxK
U2 - 10.1007/s11538-020-00711-4
DO - 10.1007/s11538-020-00711-4
M3 - Article
C2 - 32125535
AN - SCOPUS:85080972210
SN - 0092-8240
VL - 82
JO - Bulletin of Mathematical Biology
JF - Bulletin of Mathematical Biology
IS - 3
M1 - 35
ER -