4.4 Article

Quantifying the clonality and dynamics of the within-host HIV-1 latent reservoir

Journal

VIRUS EVOLUTION
Volume 7, Issue 1, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/ve/veaa104

Keywords

HIV-1 latency; clonality; within-host evolution; branching processes

Categories

Funding

  1. Canadian Institutes of Health Research [PJT-155990]
  2. Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH)

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The long-term persistence of a population of cells carrying transcriptionally silent integrated viral DNA remains the primary barrier to developing an effective cure for people living with HIV-1. The contribution of ongoing cell division via proliferation to the latent HIV-1 reservoir is supported by the observation that proviral sequences sampled from the reservoir are often identical. However, clonality is not adequate for characterizing the dynamics and proviral composition of the reservoir due to the complexity of how infected cells are 'labeled' by proviral sequences and variation in cell birth and death rates among lineages and over time.
Among people living with human immunodeficiency virus type 1 (HIV-1), the long-term persistence of a population of cells carrying transcriptionally silent integrated viral DNA (provirus) remains the primary barrier to developing an effective cure. Ongoing cell division via proliferation is generally considered to be the driving force behind the persistence of this latent HIV-1 reservoir. The contribution of this mechanism (clonal expansion) is supported by the observation that proviral sequences sampled from the reservoir are often identical. This outcome is quantified as the 'clonality' of the sample population, e.g. the fraction of provirus sequences observed more than once. However, clonality as a quantitative measure is inconsistently defined and its statistical properties are not well understood. In this Reflections article, we use mathematical and phylogenetic frameworks to formally examine the inherent problems of using clonality to characterize the dynamics and proviral composition of the reservoir. We describe how clonality is not adequate for this task due to the inherent complexity of how infected cells are 'labeled' by proviral sequences-the outcome of a sampling process from the evolutionary history of active viral replication before treatment-as well as variation in cell birth and death rates among lineages and over time. Lastly, we outline potential directions in statistical and phylogenetic research to address these issues.

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