BACKGROUND: Structured interruptions of antiretroviral therapy of HIV-1 infected individuals are currently being tested in clinical trials to study the effect interruptions have on the immune responses and control of virus replication. OBJECTIVE: To investigate the potential risks and benefits of interrupted therapy using standard population dynamical models of HIV replication kinetics. METHODS: Standard population dynamical models were used to study the effect of structured therapy interruptions on the immune effector cells, the latent cell compartment and the emergence of drug resistance. CONCLUSIONS: The models suggest that structured therapy interruption only leads to transient or sustained virus control if the immune effector cells increase during therapy. This increase must more than counterbalance the increase in susceptible target cells induced by therapy. The risk of inducing drug resistance by therapy interruptions or the risk of repopulating the pool of latent cells during drug-free periods may be small if the virus population remains at levels considerably below baseline. However, if the virus load increases during drug-free periods to levels similar to or higher than baseline before therapy, both these risks increase dramatically.
BACKGROUND: Structured interruptions of antiretroviral therapy of HIV-1 infected individuals are currently being tested in clinical trials to study the effect interruptions have on the immune responses and control of virus replication. OBJECTIVE: To investigate the potential risks and benefits of interrupted therapy using standard population dynamical models of HIV replication kinetics. METHODS: Standard population dynamical models were used to study the effect of structured therapy interruptions on the immune effector cells, the latent cell compartment and the emergence of drug resistance. CONCLUSIONS: The models suggest that structured therapy interruption only leads to transient or sustained virus control if the immune effector cells increase during therapy. This increase must more than counterbalance the increase in susceptible target cells induced by therapy. The risk of inducing drug resistance by therapy interruptions or the risk of repopulating the pool of latent cells during drug-free periods may be small if the virus population remains at levels considerably below baseline. However, if the virus load increases during drug-free periods to levels similar to or higher than baseline before therapy, both these risks increase dramatically.
Authors: Nicole L De La Mata; Penh S Ly; Kinh V Nguyen; Tuti P Merati; Thuy T Pham; Man P Lee; Jun Y Choi; Jeremy Ross; Matthew G Law; Oon T Ng Journal: J Acquir Immune Defic Syndr Date: 2017-04-15 Impact factor: 3.731
Authors: Simon D W Frost; Javier Martinez-Picado; Lidia Ruiz; Bonaventura Clotet; Andrew J Leigh Brown Journal: J Virol Date: 2002-02 Impact factor: 5.103
Authors: H Samji; T E Taha; D Moore; A N Burchell; A Cescon; C Cooper; J M Raboud; M B Klein; M R Loutfy; N Machouf; C M Tsoukas; J S G Montaner; R S Hogg Journal: HIV Med Date: 2014-09-01 Impact factor: 3.180