Evidence map›Paper›PMID 27683060›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2017

Quantification of the Latent HIV-1 Reservoir Using Ultra Deep Sequencing and Primer ID in a Viral Outgrowth Assay.

Sook-Kyung Lee, Shuntai Zhou, Pedro L Baldoni, Ean Spielvogel, Nancie M Archin, Michael G Hudgens, David M Margolis, Ronald Swanstrom

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  4. Paired serial limiting dilution assays.Statistics in medicine · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Sook-Kyung Lee*Department of Biochemistry and Biophysics, UNC Center for AIDS Research, University of North Carolina at Chapel Hill, Chapel Hill, NC; †Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC; and Departments of ‡Medicine; §Microbiology and Immunology, UNC HIV Cure Center, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Shuntai Zhou
Pedro L Baldoni
Ean Spielvogel
Nancie M Archin
Michael G Hudgens
David M Margolis
Ronald Swanstrom
University of North Carolina at Chapel Hill · US

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Using NK Cells to eliminate the latent HIV reservoirU19AI096113 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SPINA, CELSA A · 2011 to 2015
$39.5M
Collaboratory of AIDS Researchers for Eradication (CARE)UM1AI126619 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MARGOLIS, DAVID M. · 2016 to 2020
$23.2M
New and Simple Assay to Measure Latent HIV Reservoir Using Deep Sequencing MethodR21AI113124 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LEE, SOOK-KYUNG · 2014 to 2015
$418k
NIAID NIH HHS P30 AI050410NIAID NIH HHS R21 AI113124NIAID NIH HHS U19 AI096113NIAID NIH HHS UM1 AI126619
6 · The paper itself

Abstract

backgroundIn this study, we measured the latent HIV-1 reservoir harboring replication-competent HIV-1 in resting CD4 T cells in participants on highly active antiretroviral therapy, quantitating the frequency of latent infection through the use of a Primer ID-based Ultra Deep Sequencing Assay (UDSA), in comparison to the readout of the quantitative viral outgrowth assay (QVOA).

methodsViral RNA derived from culture wells of QVOA that scored as HIV-1 p24 capsid antigen positive were tagged with a specific barcode during cDNA synthesis, and the sequences within the V1-V3 region of the HIV-1 env gene were analyzed for diversity using the Primer ID-based paired-end MiSeq platform. We analyzed samples from a total of 19 participants, 2 initially treated with highly active antiretroviral therapy in acute infection and 17 treated during chronic infection. Phylogenetic trees were generated with all viral lineages detected from culture wells derived from each participant to determine the number of distinct viral lineages growing out in each well, thus capturing another level of information beyond the well being positive for viral antigen. The infectious units per million (IUPM) cell values estimated using a maximum likelihood approach, based on the number of distinct viral lineages detected (VOA-UDSA), were compared with those obtained from QVOA measured using limiting dilution.

resultsIUPM estimates determined by VOA-UDSA ranged from 0.14 to 3.66 and strongly correlated with the IUPM estimates determined by QVOA (r = 0.94; P < 0.0001).

conclusionsVOA-UDSA may be an alternative readout for that currently used for QVOA.

Indexed as

Genetic VariationAnti-Retroviral AgentsCD4-Positive T-LymphocytesDNA PrimersGenotypeHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHumansPhylogenyAnti-Retroviral AgentsDNA Primers

Identifiers

PMID27683060
PMCPMC5233602
OpenAlexW2524496902

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.