Effect of spatial distribution of T-Cells and HIV load on HIV progression

Bioinformatics
Frank M GrazianoGeorge J Towfic

Abstract

We present a spatial-temporal (ST) human immunodeficiency virus (HIV) simulation model to investigate the spatial distribution of viral load and T-cells during HIV progression. The proposed model uses the Finite Element (FE) method to divide a considered infected region into interconnected subregions each containing viral population and T-cells. HIV T-cells and viral load are traced and counted within and between subregions to estimate their effect upon neighboring regions. The objective is to estimate overall ST changes of HIV progression and to study the ST therapeutic effect upon HIV dynamics in spatial and temporal domains. We introduce sub-regional (spatial) parameters of T-cells and viral load production and elimination to estimate the spatial propagation and interaction of HIV dynamics under the influence of a 3TC D4T Reverse Transcriptase Inhibitors (RTI) drug regimen. In terms of percentage change standard deviation, we show that the average rate per 10 weeks (throughout a 10-year clinical trial) of the ST CD4+ change is 5.35% 1.3 different than that of the CD4+ rate of change in laboratory datasets, and the average rate of change of the ST CD8+ is 4.98% 1.93 different than that of the CD8+ rate of change. The half-lif...Continue Reading

References

Oct 1, 1996·Emerging Infectious Diseases·T Hraba, J Dolezal
Feb 2, 1999·Theoretical Population Biology·D Kirschner
Jan 10, 2003·Nucleic Acids Research·Soo-Yon RheeRobert W Shafer
May 23, 2003·Bioinformatics·Sorin DraghiciGeorge Towfic

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Citations

Sep 13, 2016·Annual Review of Virology·Frederik Graw, Alan S Perelson

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