Evidence map›Paper›PMID 31217357›Full record

ArticleJCI insight2019

Clones of infected cells arise early in HIV-infected individuals.

John M Coffin, David W Wells, Jennifer M Zerbato, Joann D Kuruc, Shuang Guo, Brian T Luke, Joseph J Eron, Michael Bale, Jonathan Spindler, Francesco R Simonetti and 6 more

Abstract read
In one paragraph

Article in JCI insight, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
–field-weighted citation impact
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

61 citing papers in PubMed.

  1. Trial
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  15. Review
  16. Article
  17. HIV-1 control in vivo is related to the number but not the fraction of infected cells with viral unspliced RNA.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Article
  19. Article
  20. Review

1 more citing papers are in PubMed but not listed here.

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

16 authors.

John M CoffinDepartment of Molecular Biology and Microbiology, Tufts University, Boston, Massachusetts, USA.
David W WellsCancer Research Technology Program, and.
Jennifer M ZerbatoDepartment of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Joann D KurucDepartment of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Shuang GuoCancer Research Technology Program, and.
Brian T LukeAdvanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick Maryland, USA.
Joseph J EronDepartment of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA.
Michael BaleHIV Dynamics and Replication Program, NCI-Frederick, Frederick, Maryland, USA.
Jonathan SpindlerHIV Dynamics and Replication Program, NCI-Frederick, Frederick, Maryland, USA.
Francesco R SimonettiHIV Dynamics and Replication Program, NCI-Frederick, Frederick, Maryland, USA.
Shawn HillHIV Dynamics and Replication Program, NCI-Frederick, Frederick, Maryland, USA.
Mary F KearneyHIV Dynamics and Replication Program, NCI-Frederick, Frederick, Maryland, USA.
Frank MaldarelliHIV Dynamics and Replication Program, NCI-Frederick, Frederick, Maryland, USA.
Xiaolin WuCancer Research Technology Program, and.
John W MellorsDepartment of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Stephen H HughesHIV Dynamics and Replication Program, NCI-Frederick, Frederick, Maryland, USA.

Funding

Virus biology scientific research support componentUM1AI100645 · NIAID · DUKE UNIVERSITY · PI SANTRA, SAMPA · 2012 to 2018
$204.7M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Retrovirus Evolution and CancerR35CA200421 · NCI · TUFTS UNIVERSITY BOSTON · PI COFFIN, JOHN M · 2016 to 2022
$6.5M
Quantify the Fraction of Proviruses That Express HIV RNA to Better Understand Proviral Latency and Its ReversalZIABC011698 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KEARNEY, MARY · 2016 to 2025
$5.1M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS R35 CA200421NIAID NIH HHS P30 AI050410NIAID NIH HHS UM1 AI100645
6 · The paper itself

Abstract

In HIV-infected individuals on long-term antiretroviral therapy (ART), more than 40% of the infected cells are in clones. Although most HIV proviruses present in individuals on long-term ART are defective, including those in clonally expanded cells, there is increasing evidence that clones carrying replication-competent proviruses are common in patients on long-term ART and form part of the HIV reservoir that makes it impossible to cure HIV infection with current ART alone. Given the importance of clonal expansion in HIV persistence, we determined how soon after HIV acquisition infected clones can grow large enough to be detected (clones larger than ca. 1 × 105 cells). We studied 12 individuals sampled in early HIV infection (Fiebig stage III-V/VI) and 5 who were chronically infected. The recently infected individuals were started on ART at or near the time of diagnosis. We isolated more than 6,500 independent integration sites from peripheral blood mononuclear cells before ART was initiated and after 0.5-18 years of suppressive ART. Some infected clones could be detected approximately 4 weeks after HIV infection and some of these clones persisted for years. The results help to explain how the reservoir is established early and persists for years.

Indexed as

AdultAnti-HIV AgentsClone CellsDisease ProgressionHIV-1HIV InfectionsHumansLeukocytes, MononuclearProvirusesTime FactorsViral LoadVirus IntegrationVirus ReplicationAnti-HIV AgentsAIDS/HIVClonal selectionT cells

Identifiers

PMID31217357
PMCPMC6629130

What OpenQuestion holds

Textmetadata
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.