Evidence map›Paper›PMID 24710023›Full record

ArticlePloS one2014

Measuring turnover of SIV DNA in resting CD4+ T cells using pyrosequencing: implications for the timing of HIV eradication therapies.

Jeanette C Reece, Alexey Martyushev, Janka Petravic, Andrew Grimm, Shayarana Gooneratne, Thakshila Amaresena, Robert De Rose, Liyen Loh, Miles P Davenport, Stephen J Kent

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Review
  4. Review
  5. Review
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

10 authors at 2 institutions in 1 country.

Jeanette C ReeceDepartment of Microbiology and Immunology, University of Melbourne, Victoria, Australia.
Alexey MartyushevCentre for Vascular Research, University of New South Wales, Kensington, NSW, Australia.
Janka PetravicCentre for Vascular Research, University of New South Wales, Kensington, NSW, Australia.
Andrew GrimmCentre for Vascular Research, University of New South Wales, Kensington, NSW, Australia.
Shayarana GooneratneDepartment of Microbiology and Immunology, University of Melbourne, Victoria, Australia.
Thakshila AmaresenaDepartment of Microbiology and Immunology, University of Melbourne, Victoria, Australia.
Robert De RoseDepartment of Microbiology and Immunology, University of Melbourne, Victoria, Australia.
Liyen LohDepartment of Microbiology and Immunology, University of Melbourne, Victoria, Australia.
Miles P DavenportCentre for Vascular Research, University of New South Wales, Kensington, NSW, Australia.
Stephen J KentDepartment of Microbiology and Immunology, University of Melbourne, Victoria, Australia.
University of Melbourne · AUUNSW Sydney · AU

Funding

TRAINING PROGRAM IN PEDIATRIC GASTROENTEROLOGY/NUTRITIONT32DK007762 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI James Bayrer · 1998 to 2026
$7.3M
NIDDK NIH HHS T32 DK007762
6 · The paper itself

Abstract

Resting CD4+ T cells are a reservoir of latent HIV-1. Understanding the turnover of HIV DNA in these cells has implications for the development of eradication strategies. Most studies of viral latency focus on viral persistence under antiretroviral therapy (ART). We studied the turnover of SIV DNA resting CD4+ T cells during active infection in a cohort of 20 SIV-infected pigtail macaques. We compared SIV sequences at two Mane-A1*084:01-restricted CTL epitopes using serial plasma RNA and resting CD4+ T cell DNA samples by pyrosequencing, and used a mathematical modeling approach to estimate SIV DNA turnover. We found SIV DNA turnover in resting CD4+ T cells was slow in animals with low chronic viral loads, consistent with the long persistence of latency seen under ART. However, in animals with high levels of chronic viral replication, turnover was high. SIV DNA half-life within resting CD4 cells correleated with viral load (p = 0.0052) at the Gag KP9 CTL epitope. At a second CTL epitope in Tat (KVA10) there was a trend towards an association of SIV DNA half-life in resting CD4 cells and viral load (p = 0.0971). Further, we found that the turnover of resting CD4+ T cell SIV DNA was higher for escape during early infection than for escape later in infection (p = 0.0084). Our results suggest viral DNA within resting CD4 T cells is more labile and may be more susceptible to reactivation/eradication treatments when there are higher levels of virus replication and during early/acute infection.

Indexed as

HIV InfectionsModels, BiologicalSimian Acquired Immunodeficiency SyndromeAnimalsCD4-Positive T-LymphocytesDNA, ViralHIV-1HumansMacaca nemestrinaSimian Immunodeficiency VirusDNA, Viral

Identifiers

PMID24710023
PMCPMC3977820
OpenAlexW2084508759

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.