Residual Viremia in Treated HIV+ Individuals

Conway, Jessica M.; Perelson, Alan S.

doi:10.1371/journal.pcbi.1004677

Title: Residual Viremia in Treated HIV+ Individuals

Journal Article · Wed Jan 06 00:00:00 EST 2016 · PLoS Computational Biology (Online)

DOI:https://doi.org/10.1371/journal.pcbi.1004677· OSTI ID:1236042

Conway, Jessica M. ^[1]; Perelson, Alan S. ^[2]

Pennsylvania State Univ., University Park, PA (United States)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Antiretroviral therapy (ART) effectively controls HIV infection, suppressing HIV viral loads. However, some residual virus remains, below the level of detection, in HIV-infected patients on ART. Furthermore, the source of this viremia is an area of debate: does it derive primarily from activation of infected cells in the latent reservoir, or from ongoing viral replication? Our observations seem to be contradictory: there is evidence of short term evolution, implying that there must be ongoing viral replication, and viral strains should thus evolve. The phylogenetic analyses, and rare emergent drug resistance, suggest no long-term viral evolution, implying that virus derived from activated latent cells must dominate. We use simple deterministic and stochastic models to gain insight into residual viremia dynamics in HIV-infected patients. Our modeling relies on two underlying assumptions for patients on suppressive ART: that latent cell activation drives viral dynamics and that the reproductive ratio of treated infection is less than 1. Nonetheless, the contribution of viral replication to residual viremia in patients on ART may be non-negligible. However, even if the portion of viremia attributable to viral replication is significant, our model predicts (1) that latent reservoir re-seeding remains negligible, and (2) some short-term viral evolution is permitted, but long-term evolution can still be limited: stochastic analysis of our model shows that de novo emergence of drug resistance is rare. Thus, our simple models reconcile the seemingly contradictory observations on residual viremia and, with relatively few parameters, recapitulates HIV viral dynamics observed in patients on suppressive therapy.

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC52-06NA25396

OSTI ID:: 1236042

Report Number(s):: LA-UR-15-27439

Journal Information:: PLoS Computational Biology (Online), Vol. 12, Issue 1; ISSN 1553-7358

Publisher:: Public Library of ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 45 works

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