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Naive infection predicts reservoir diversity and is a formidable hurdle to HIV eradication
Marilia R. Pinzone, Sam Weissman, Alexander O. Pasternak, Ryan Zurakowski, Stephen Migueles, Una O’Doherty
Marilia R. Pinzone, Sam Weissman, Alexander O. Pasternak, Ryan Zurakowski, Stephen Migueles, Una O’Doherty
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Research Article AIDS/HIV Infectious disease

Naive infection predicts reservoir diversity and is a formidable hurdle to HIV eradication

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Abstract

Historically, naive cells have been considered inconsequential to HIV persistence. Here, we compared the contributions of naive and memory cells to the reservoirs of individuals with a spectrum of reservoir sizes and variable immunological control. We performed proviral sequencing of approximately 6000 proviruses from cellular subsets of 5 elite controllers (ECs) off antiretroviral therapy (ART) and 5 chronic progressors (CPs) on ART. The levels of naive infection were barely detectable in ECs and approximately 300-fold lower compared with those in CPs. Moreover, the ratio of infected naive to memory cells was significantly lower in ECs. Overall, the naive infection level increased as reservoir size increased, such that naive cells were a major contributor to the intact reservoir of CPs, whose reservoirs were generally very diverse. In contrast, the reservoirs of ECs were dominated by proviral clones. Critically, the fraction of proviral clones increased with cell differentiation, with naive infection predicting reservoir diversity. Longitudinal sequencing revealed that the reservoir of ECs was less dynamic compared with that of CPs. Naive cells play a critical role in HIV persistence. Their infection level predicts reservoir size and diversity. Moreover, the diminishing diversity of the reservoir as cellular subsets mature suggests that naive T cells repopulate the memory compartment and that direct infection of naive T cells occurs in vivo.

Authors

Marilia R. Pinzone, Sam Weissman, Alexander O. Pasternak, Ryan Zurakowski, Stephen Migueles, Una O’Doherty

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Figure 6

Analysis of clonal overlap over time reveals the oligoclonal nature of the EC reservoir compared with CPs.

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Analysis of clonal overlap over time reveals the oligoclonal nature of t...
The proviral clones from Figure 5 were analyzed from EC4, EC5, CP3, and CP4. Proviral clones were defined as any sequence that occurred more than once within the same participant. We identified clonal sequences using the entire database of each individual. The database size was as follows: 545 sequences for EC4, 902 (EC5), 612 (CP3), and 916 (CP4). The centers of the Venn diagrams contain proviral clones present at 2 time points 7 to 12 years apart from each other, whereas the nonoverlapping regions represent proviral clones detected only at 1 time point, though present more than once in the individual’s database. The participants included are EC4 (2010 and 2017), EC5 (2002 and 2014), CP3 (2008 and 2015), and CP4 (2007 and 2015). The left side of the Venn diagram represents the number of proviral sequences that were detected from CD4+ T cells/PBMCs at 1 or both time points. The right side of the Venn diagram limits the number of proviruses to those that are distinct. Overall, ECs showed a much larger overlap between time points compared with CPs. CPs, chronic progressors; ECs, elite controllers; NFL, near-full-length; PBMCs, peripheral blood mononuclear cells.

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