Assessing proviral competence: current approaches to evaluate HIV-1 persistence Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.1097/coh.0000000000000687
Purpose of review Despite decades of suppressive antiretroviral therapy (ART), HIV-1 reservoirs persist and fuel viral rebound if therapy is interrupted. The persistence of viral reservoirs in infected individuals is the main obstacle to achieving HIV-1 eradication or a long-term remission. Accurate assessment of the viral reservoir size is necessary for monitoring the effectiveness of the curative interventions. Here, we review the recent progress in the development of assays to measure HIV-1 persistence, highlighting their key advantages and limitations. Recent findings To estimate the viral reservoir size, a number of assays have been developed that assess different aspects of HIV-1 persistence in ART-treated individuals. These include viral outgrowth assays to measure proviral replication competence, sequencing-based assays to measure genetic intactness of HIV-1 proviruses, and diverse techniques that measure the ability of proviruses to produce viral RNA and/or proteins (transcription and translation competence), with or without ex vivo stimulation. Recent years have seen the development of next-generation reservoir assays that, in addition to measuring viral persistence markers, assess the proviral integration sites and characterize the HIV-1 reservoir cells on the single-cell level. Summary Although no assay yet can measure the HIV-1 reservoir with 100% accuracy, recent technical advances allow reliable estimation of its size and composition.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1097/coh.0000000000000687
- OA Status
- hybrid
- Cited By
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- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W3163009800Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1097/coh.0000000000000687Digital Object Identifier
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Assessing proviral competence: current approaches to evaluate HIV-1 persistenceWork title
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reviewOpenAlex work type
- Language
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enPrimary language
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2021Year of publication
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2021-05-14Full publication date if available
- Authors
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Aurelija Cicilionytė, Ben Berkhout, Alexander PasternakList of authors in order
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https://doi.org/10.1097/coh.0000000000000687Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1097/coh.0000000000000687Direct OA link when available
- Concepts
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Human immunodeficiency virus (HIV), Computational biology, Virology, Viral load, Biology, Medicine, Persistence (discontinuity), Immunology, Engineering, Geotechnical engineeringTop concepts (fields/topics) attached by OpenAlex
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8Total citation count in OpenAlex
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2024: 1, 2023: 4, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
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104Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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