Evidence map›Paper›PMID 21079675›Full record

ArticlePLoS computational biology2010

Quantifying the impact of human immunodeficiency virus-1 escape from cytotoxic T-lymphocytes.

Ulrich D Kadolsky, Becca Asquith

Abstract read
In one paragraph

Article in PLoS computational biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Effects of neutralizing antibodies on escape from CD8+ T-cell responses in HIV-1 infection.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Viral quasispecies evolution.Microbiology and molecular biology reviews : MMBR · 2012
    Review
  11. Article
  12. 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

2 authors.

Ulrich D KadolskyDepartment of Immunology, Division of Medicine, Imperial College London, London, United Kingdom. ulrich.kadolsky01@imperial.ac.uk
Becca Asquith

Funding

Cancer Research UKMedical Research Council G0601072Wellcome Trust
6 · The paper itself

Abstract

HIV-1 escape from the cytotoxic T-lymphocyte (CTL) response leads to a weakening of viral control and is likely to be detrimental to the patient. To date, the impact of escape on viral load and CD4(+) T cell count has not been quantified, primarily because of sparse longitudinal data and the difficulty of separating cause and effect in cross-sectional studies. We use two independent methods to quantify the impact of HIV-1 escape from CTLs in chronic infection: mathematical modelling of escape and statistical analysis of a cross-sectional cohort. Mathematical modelling revealed a modest increase in log viral load of 0.051 copies ml(-1) per escape event. Analysis of the cross-sectional cohort revealed a significant positive association between viral load and the number of "escape events", after correcting for length of infection and rate of replication. We estimate that a single CTL escape event leads to a viral load increase of 0.11 log copies ml(-1) (95% confidence interval: 0.040-0.18), consistent with the predictions from the mathematical modelling. Overall, the number of escape events could only account for approximately 6% of the viral load variation in the cohort. Our findings indicate that although the loss of the CTL response for a single epitope results in a highly statistically significant increase in viral load, the biological impact is modest. We suggest that this small increase in viral load is explained by the small growth advantage of the variant relative to the wildtype virus. Escape from CTLs had a measurable, but unexpectedly low, impact on viral load in chronic infection.

Indexed as

Models, ImmunologicalCluster AnalysisCross-Sectional StudiesEpitopesGenes, ViralHIV-1HIV InfectionsHost-Pathogen InteractionsHumansLinear ModelsMutationT-Lymphocytes, CytotoxicViral LoadEpitopes

Identifiers

PMID21079675
PMCPMC2973816

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Registered trials

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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.