Evidence map›Paper›PMID 25642847›Full record

ArticlePLoS genetics2015

Structured observations reveal slow HIV-1 CTL escape.

Hannah E Roberts, Jacob Hurst, Nicola Robinson, Helen Brown, Peter Flanagan, Laura Vass, Sarah Fidler, Jonathan Weber, Abdel Babiker, Rodney E Phillips and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 43 citations in OpenAlex.

  1. Trial
  2. Compartmental structure in the secondary lymphoid tissue can slow downJournal of the Royal Society, Interface · 2025
    Article
  3. Review
  4. Modelling HIV-1 control and remission.NPJ systems biology and applications · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Evolution during primary HIV infection does not require adaptive immune selection.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
  10. Article
  11. Towards multiscale modeling of the CD8Wiley interdisciplinary reviews. Systems biology and medicine · 2019
    Review
  12. Modeling the immune response to HIV infection.Current opinion in systems biology · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

13 authors at 4 institutions in 1 country.

Hannah E RobertsThe Peter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford University, Oxford, United Kingdom.
Jacob HurstThe Peter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford University, Oxford, United Kingdom; The Institute for Emerging Infections, The Oxford Martin School, Oxford, Oxford United Kingdom.
Nicola RobinsonThe Peter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford University, Oxford, United Kingdom; Oxford NIHR Comprehensive Biomedical Research Centre, Oxford, United Kingdom.
Helen BrownThe Peter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford University, Oxford, United Kingdom; Oxford NIHR Comprehensive Biomedical Research Centre, Oxford, United Kingdom.
Peter FlanaganThe Peter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford University, Oxford, United Kingdom.
Laura VassThe Peter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford University, Oxford, United Kingdom.
Sarah FidlerDivision of Medicine, Wright Fleming Institute, Imperial College, London, United Kingdom.
Jonathan WeberDivision of Medicine, Wright Fleming Institute, Imperial College, London, United Kingdom.
Abdel BabikerMedical Research Council Clinical Trials Unit, London, United Kingdom.
Rodney E PhillipsThe Peter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford University, Oxford, United Kingdom; The Institute for Emerging Infections, The Oxford Martin School, Oxford, Oxford United Kingdom; Oxford NIHR Comprehensive Biomedical Research Centre, Oxford, United Kingdom.
Angela R McLeanThe Institute for Emerging Infections, The Oxford Martin School, Oxford, Oxford United Kingdom; Department of Zoology, Oxford University, Oxford, United Kingdom.
John FraterThe Peter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford University, Oxford, United Kingdom; The Institute for Emerging Infections, The Oxford Martin School, Oxford, Oxford United Kingdom; Oxford NIHR Comprehensive Biomedical Research Centre, Oxford, United Kingdom.
SPARTAC trial investigators
University of Oxford · GBMedawar Building for Pathogen Research · GBImperial College London · GBMedical Research Council · GB

Funding

Optimizing CD8+ T-cell responses against C clade HIV infection in subSaharan AfriR01AI046995 · NIAID · UNIVERSITY OF OXFORD · PI GOULDER, PHILIP J · 2000 to 2014
$6.8M
Medical Research Council MC_U122886352Medical Research Council MC_UU_12023/16Medical Research Council MC_UU_12023/23Medical Research Council MR/L006588/1NIAID NIH HHS R01 AI046995Wellcome TrustWellcome Trust 069598/Z/02/Z
6 · The paper itself

Abstract

The existence of viral variants that escape from the selection pressures imposed by cytotoxic T-lymphocytes (CTLs) in HIV-1 infection is well documented, but it is unclear when they arise, with reported measures of the time to escape in individuals ranging from days to years. A study of participants enrolled in the SPARTAC (Short Pulse Anti-Retroviral Therapy at HIV Seroconversion) clinical trial allowed direct observation of the evolution of CTL escape variants in 125 adults with primary HIV-1 infection observed for up to three years. Patient HLA-type, longitudinal CD8+ T-cell responses measured by IFN-γ ELISpot and longitudinal HIV-1 gag, pol, and nef sequence data were used to study the timing and prevalence of CTL escape in the participants whilst untreated. Results showed that sequence variation within CTL epitopes at the first time point (within six months of the estimated date of seroconversion) was consistent with most mutations being transmitted in the infecting viral strain rather than with escape arising within the first few weeks of infection. Escape arose throughout the first three years of infection, but slowly and steadily. Approximately one third of patients did not drive any new escape in an HLA-restricted epitope in just under two years. Patients driving several escape mutations during these two years were rare and the median and modal numbers of new escape events in each patient were one and zero respectively. Survival analysis of time to escape found that possession of a protective HLA type significantly reduced time to first escape in a patient (p = 0.01), and epitopes escaped faster in the face of a measurable CD8+ ELISpot response (p = 0.001). However, even in an HLA matched host who mounted a measurable, specific, CD8+ response the average time before the targeted epitope evolved an escape mutation was longer than two years.

Indexed as

AdultCD8-Positive T-LymphocytesEpitopes, T-LymphocyteFemaleGene Products, gagHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHumansMaleMiddle AgedMutationnef Gene Products, Human Immunodeficiency Viruspol Gene Products, Human Immunodeficiency VirusT-Lymphocytes, CytotoxicEpitopes, T-LymphocyteGene Products, gagnef Gene Products, Human Immunodeficiency Virusnef protein, Human immunodeficiency virus 1pol Gene Products, Human Immunodeficiency Virus

Identifiers

PMID25642847
PMCPMC4333731
OpenAlexW2001766969

What OpenQuestion holds

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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.