Effect of Mutation on Helper T-cells and Viral Population: A Computer Simulation Model for HIV
Physics and Astronomy
A Monte Carlo simulation is proposed to study the dynamics of helper T-cells (N-H) and viral (N-V) populations in an immune response model relevant to HIV. Cellular states are binary variables and the interactions are described by logical expressions. Viral population shows a nonmonotonic growth before reaching a constant value while helper T-cells grow to a constant after a relaxation/reaction time. Initially, the population of helper cells grows with time with a power-law, N-H similar to t(B), before reaching the steady-state; the growth exponent beta increases systematically (beta similar or equal to 1-2) with the mutation rate (P-mut similar or equal to 0.1 - 0.4). The critical recovery time (t(c)) increases exponentially with the viral mutation, t(c) similar or equal to Ae(alpha Pmut) with alpha = 4.52 +/- 0.29 in low mutation regime and alpha = 15.21 +/- 1.41 in high mutation regime. The equilibrium population of helper T-cell declines slowly with P-mut and collapses at similar to 0.40; the viral population exhibits a reverse trend, i.e., a slow increase before the burst around the same mutation regime.
Theory in Biosciences
Pandey, R. B.
(2000). Effect of Mutation on Helper T-cells and Viral Population: A Computer Simulation Model for HIV. Theory in Biosciences, 119(1), 10-19.
Available at: https://aquila.usm.edu/fac_pubs/4240