Mathematical models have proven valuable in understanding the dynamics of HIV-1
infection in vivo. By comparing these models to data obtained from patients undergoing …

Viruses can create complex genetic populations within a host, and deep sequencing
technologies allow extensive sampling of these populations. Limitations of these …

Recent studies of human immunodeficiency virus type 1 (HIV-1) fitness have examined the
potential relationship with plasma viral load, drug resistance, and disease progression. For …

Viral fitness has been broadly studied during the past three decades, mainly to test
evolutionary models and population theories difficult to analyze and interpret with more …

Background: The prognostic value of discordant immunologic (CD4 cell increase) and
virologic (plasma HIV RNA level decrease) responses to antiretroviral treatment is not …

Objective: It is thought as a consequence of continuous replication, HIV-1 has acquired an
optimal fitness state and that suboptimal antiretroviral therapy selects for drug resistant …

ContextThere is concern that the widespread use of antiretroviral drugs to treat human
immunodeficiency virus 1 (HIV-1) infection may result in the increased transmission of drug …

The relative replicative fitness of human immunodeficiency virus type 1 (HIV-1) mutants
selected by different protease inhibitors (PIs) in vivo was determined. Each mutant was …

Objective: To determine the rate of plasma HIV-1 RNA rebound in patients stopping highly
active antiretroviral therapy (HAART) after achieving undetectable viral load. Design …

Objective To determine whether HIV-1 can be recovered from blood monocytes as well as
resting, memory CD4 T lymphocytes of patients on highly active antiretroviral therapy …