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. 2008 Aug;70(6):1749-71.
doi: 10.1007/s11538-008-9323-4. Epub 2008 Jul 22.

Modeling and estimation of kinetic parameters and replicative fitness of HIV-1 from flow-cytometry-based growth competition experiments

Affiliations

Modeling and estimation of kinetic parameters and replicative fitness of HIV-1 from flow-cytometry-based growth competition experiments

Hongyu Miao et al. Bull Math Biol. 2008 Aug.

Abstract

Growth competition assays have been developed to quantify the relative fitness of HIV-1 mutants. In this article, we develop mathematical models to describe viral/cellular dynamic interactions in the assay system from which the competitive fitness indices or parameters are defined. In our previous HIV-viral fitness experiments, the concentration of uninfected target cells was assumed to be constant (Wu et al. 2006). But this may not be true in some experiments. In addition, dual infection may frequently occur in viral fitness experiments and may not be ignorable. Here, we relax these two assumptions and extend our earlier viral fitness model (Wu et al. 2006). The resulting models then become nonlinear ODE systems for which closed-form solutions are not achievable. In the new model, the viral relative fitness is a function of time since it depends on the target cell concentration. First, we studied the structure identifiability of the nonlinear ODE models. The identifiability analysis showed that all parameters in the proposed models are identifiable from the flow-cytometry-based experimental data that we collected. We then employed a global optimization approach (the differential evolution algorithm) to directly estimate the kinetic parameters as well as the relative fitness index in the nonlinear ODE models using nonlinear least square regression based on the experimental data. Practical identifiability was investigated via Monte Carlo simulations.

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Figures

Fig. 1
Fig. 1
Experimental data and model fitting results (○ replicate 1, □ replicate 2, and ∆ replicate 3) and fitted curves for T (solid), Tm (dotted), Tw (dashed) and Tmw (dash-dotted).
Fig. 2
Fig. 2
(a) Estimates of log-relative fitness d(t) for mutant virus versus wild-type virus and heterozygous virus versus wild-type virus; (b) Estimates of relative fitness RF for mutant virus versus wild-type virus and heterozygous virus versus wild-type virus.

References

    1. Audoly S, D’angio L, Saccomani MP, Cobelli C. Global identifiability of linear compartmental models. IEEE Trans Biomed Eng. 1998;45:36–47. - PubMed
    1. Audoly S, Bellu G, D’Angio L, Saccomani MP, Cobelli C. Global identifiability of nonlinear models of biological systems. IEEE Trans Biomed Eng. 2001;48:55–65. - PubMed
    1. Bonhoeffer S, Barbour AD, De Boer RJ. Procedures for reliable estimation of viral fitness from time-series data. Proc R Soc Lond B. 2002;269:1887–1893. - PMC - PubMed
    1. Chen J, Dang Q, Unutmaz D, Pathak VK, Maldarelli F, Powell D, Hu WS. Mechanisms of nonrandom human immunodeficiency virus type 1 infection and double infection: Preference in virus entry is important but is not the sole factor. J Virol. 2005;79:4140–4149. - PMC - PubMed
    1. Collins JA, Thompson MG, Paintsil E, Ricketts M, Gedzior J, Alexander L. Competitive fitness of nevirapine-resistant human immunodeficiency virus type 1 mutants. J Virol. 2004;78:603–611. - PMC - PubMed

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