Modeling HIV persistence and cure studies

Abstract

Purpose of reviewTo provide a summary of the contributions of mathematical modeling to understanding of HIV persistence during antiretroviral therapy. Recent findingsAlthough HIV persistence during therapy could be caused by continual viral replication or slow-decaying latent infection, most evidence points toward the latter mechanism.  The latent reservoir is maintained by a balance of cell death, proliferation, and reactivation, and new methods to estimate the relative contributions of these rates use a wide range of experimental data.  This has led to new quantitative predictions about the potential benefit of therapies such as latency-reversing agents or antiproliferative drugs. SummaryResults of these mathematical modeling studies can be used to design and interpret future trials of new therapies targeting HIV persistence.