• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

J Virol. Simulation and Prediction of the Adaptive Immune Response to Influenza A Virus Infection.

Giuseppe

Emeritus
J Virol. 2009 May 13. [Epub ahead of print]

Simulation and Prediction of the Adaptive Immune Response to Influenza A Virus Infection.

Lee HY, Topham DJ, Park SY, Hollenbaugh J, Treanor J, Mosmann TR, Jin X, Ward B, Miao H, Holden-Wiltse J, Perelson AS, Zand M, Wu H. - Department of Biostatistics and Computational Biology, University of Rochester, NY, 14642; David H. Smith Center for Vaccine Biology & Immunology, Department of Microbiology and Immunology, University of Rochester, NY, 14642; Department of Medicine, Division of Infectious Diseases, University of Rochester, NY, 14642; Department of Microbiology and Immunology, University of Rochester, NY, 14642; Theoretical Biology and Biophysics, Los Alamos National Laboratory, NM, 87545; Department of Medicine, Division of Nephrology, Department of Microbiology and Immunology, University of Rochester, NY, 14642.

The cellular immune response to primary influenza infection is complex, involving multiple cell types and anatomical compartments, and difficult to measure directly. Here we develop a two-compartment model that quantifies the interplay between viral replication and adaptive immunity.
The fidelity of the model is demonstrated by accurately confirming the role of CD4 help for antibody persistence and the consequences of immune depletion experiments. The model predicts that drugs to limit viral infection and/or production must be administered within 2 days of infection, with a benefit of combination therapy when administered early, and cytotoxic CD8 T cells in the lung are as effective for viral clearance as neutralizing antibodies when present at the time of challenge.
The model can be used to investigate explicit biological scenarios and generate experimentally testable hypotheses.
For example, when the adaptive response depends on cellular immune cell priming, regulation of antigen presentation has greater influence on the kinetics of viral clearance than the efficiency of virus neutralization or cellular cytotoxicity.
These findings suggest that modulation of antigen presentation or the number of lung resident cytotoxic cells, and combination drug intervention are strategies to combat highly virulent influenza viruses. We further compared alternative model structures, for example, B cell activation directly by virus versus through professional antigen presenting cells or dendritic cell licensing of CD8 T cells.

PMID: 19439465 [PubMed - as supplied by publisher]

-
------
 
Back
Top