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

Frank M. Graziano | Zendy; Samira Kettoola | Zendy; Judy Munshower | Zendy; Jack T. Stapleton | Zendy; George Towfic | Zendy

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

Author(s) -

Frank M. Graziano,

Samira Kettoola,

Judy Munshower,

Jack T. Stapleton,

George Towfic

Publication year - 2008

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btn008

Subject(s) - human immunodeficiency virus (hiv) , viral load , spatial distribution , distribution (mathematics) , computer science , virology , biology , computational biology , mathematics , statistics , mathematical analysis

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.

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