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Biophys. J. BioFAST: First Published February 26, 2007. doi:10.1529/biophysj.106.094508
© 2007 by the Biophysical Society.

A more recent version of this article appeared on May 15, 2007.
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BIOPHYSICAL THEORY AND MODELING

Process Noise : An Explanation for the Fluctuations in the Immune Response During Acute Viral Infection

Dejan Milutinovic 1 and Rob J. deBoer 1*

1 Utrecht University

* To whom correspondence should be addressed. E-mail: r.j.deboer{at}bio.uu.nl.

Submitted on August 2, 2006
Revised on October 31, 2006
Accepted on 15 December 2006


  Abstract
The parameters of the immune response dynamics are usually estimated by the use of deterministic ordinary differential equations that relate data trends to parameter values. Since the physical basis of the response is stochastic, we are investigating the intensity of the data fluctuations resulting from the intrinsic response stochasticity, so-called the process noise. Dealing with the CD8+ T-cell responses of virus infected mice, we find that the process noise influence can not be neglected and we propose a parameter estimation approach which includes the process noise stochastic fluctuations. We show that the variations in data can be explained completely by the process noise. This explanation is an alternative to the one resulting from standard modeling approaches which say that the difference among individual immune responses is the consequence of the difference in parameter values.

Key Words: immunology, parameter estimation, stochastic dynamics




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C. L. Althaus, V. V. Ganusov, and R. J. De Boer
Dynamics of CD8+ T Cell Responses during Acute and Chronic Lymphocytic Choriomeningitis Virus Infection
J. Immunol., September 1, 2007; 179(5): 2944 - 2951.
[Abstract] [Full Text] [PDF]


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Copyright © 2007 by the Biophysical Society.