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      Establishment and stability of the latent HIV-1 DNA reservoir

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          Abstract

          HIV-1 infection cannot be cured because the virus persists as integrated proviral DNA in long-lived cells despite years of suppressive antiretroviral therapy (ART). In a previous paper ( Zanini et al, 2015) we documented HIV-1 evolution in 10 untreated patients. Here we characterize establishment, turnover, and evolution of viral DNA reservoirs in the same patients after 3–18 years of suppressive ART. A median of 14% (range 0–42%) of the DNA sequences were defective due to G-to-A hypermutation. Remaining DNA sequences showed no evidence of evolution over years of suppressive ART. Most sequences from the DNA reservoirs were very similar to viruses actively replicating in plasma (RNA sequences) shortly before start of ART. The results do not support persistent HIV-1 replication as a mechanism to maintain the HIV-1 reservoir during suppressive therapy. Rather, the data indicate that DNA variants are turning over as long as patients are untreated and that suppressive ART halts this turnover.

          DOI: http://dx.doi.org/10.7554/eLife.18889.001

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          Quantification of latent tissue reservoirs and total body viral load in HIV-1 infection.

          The capacity of HIV-1 to establish latent infection of CD4+ T cells may allow viral persistence despite immune responses and antiretroviral therapy. Measurements of infectious virus and viral RNA in plasma and of infectious virus, viral DNA and viral messenger RNA species in infected cells all suggest that HIV-1 replication continues throughout the course of infection. Uncertainty remains over what fraction of CD4+ T cells are infected and whether there are latent reservoirs for the virus. We show here that during the asymptomatic phase of infection there is an extremely low total body load of latently infected resting CD4+ T cells with replication-competent integrated provirus (<10(7) cells). The most prevalent form of HIV-1 DNA in resting and activated CD4+ T cells is a full-length, linear, unintegrated form that is not replication competent. The infection progresses even though at any given time in the lymphoid tissues integrated HIV-1 DNA is present in only a minute fraction of the susceptible populations, including resting and activated CD4+ T cells and macrophages.
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            The NumPy array: a structure for efficient numerical computation

            In the Python world, NumPy arrays are the standard representation for numerical data. Here, we show how these arrays enable efficient implementation of numerical computations in a high-level language. Overall, three techniques are applied to improve performance: vectorizing calculations, avoiding copying data in memory, and minimizing operation counts. We first present the NumPy array structure, then show how to use it for efficient computation, and finally how to share array data with other libraries.
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              In vivo fate of HIV-1-infected T cells: quantitative analysis of the transition to stable latency.

              Although it is presumed that the integration of HIV-1 into the genome of infected CD4+ T lymphocytes allows viral persistence, there has been little direct evidence that CD4+ T cells with integrated provirus function as a latent reservoir for HIV-1 in infected individuals. Using resting CD4+ T-cell populations of extremely high purity and a novel assay that selectively and unambiguously detects integrated HIV-1, we show that resting CD4+ T cells harbouring integrated provirus are present in some infected individuals. However, these cells do not accumulate within the circulating pool of resting CD4+ T cells in the early stages of HIV-1 infection and do not accumulate even after prolonged periods in long-term survivors of HIV-1 infection. These results suggest that because of viral cytopathic effects and/or host effector mechanisms, productively infected CD4+ T cells do not generally survive for long enough to revert to a resting memory state in vivo.
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                Author and article information

                Contributors
                Role: Reviewing editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                15 November 2016
                2016
                : 5
                : e18889
                Affiliations
                [1 ]deptDepartment of Microbiology, Tumor and Cell Biology , Karolinska Institute , Stockholm, Sweden
                [2 ]Max Planck Institute for Developmental Biology , Tübingen, Germany
                [3 ]deptDepartment of Clinical Science and Education , Stockholm South General Hospital , Stockholm, Sweden
                [4 ]deptVenhälsan , Stockholm South General Hospital , Stockholm, Sweden
                [5 ]deptDepartment of Clinical Microbiology , Karolinska University Hospital , Stockholm, Sweden
                [6]Massachusetts Institute of Technology , United States
                [7]Massachusetts Institute of Technology , United States
                Author notes
                [†]

                Stanford University, Stanford, CA, United States.

                Author information
                http://orcid.org/0000-0001-7097-8539
                http://orcid.org/0000-0003-2525-1407
                http://orcid.org/0000-0001-9020-0521
                Article
                18889
                10.7554/eLife.18889
                5201419
                27855060
                42548cb2-1312-4085-8bd4-988905de4f1e
                © 2016, Brodin et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 20 June 2016
                : 01 November 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: Stg. 260686
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004359, Vetenskapsrådet;
                Award ID: K2014-57X-09935
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Advance
                Microbiology and Infectious Disease
                Custom metadata
                2.5
                Building on previous work (Zanini et al, 2015), deep-sequencing is used to show that HIV persistence during suppressive antiretroviral therapy, the main hurdle for HIV cure, is due to homeostatic proliferation and longevity of infected cells rather than ongoing virus replication.

                Life sciences
                hiv,cure,evolution,virus
                Life sciences
                hiv, cure, evolution, virus

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