Evidence map›Paper›PMID 20619380›Full record

ArticleVaccine2010

Exploiting knowledge of immune selection in HIV-1 to detect HIV-specific CD8 T-cell responses.

Coral-Ann M Almeida, Steven G Roberts, Rebecca Laird, Elizabeth McKinnon, Imran Ahmad, Niamh M Keane, Abha Chopra, Carl Kadie, David Heckerman, Simon Mallal and 1 more

Abstract read
In one paragraph

Article in Vaccine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

11 authors at 2 institutions in 2 countries.

Coral-Ann M AlmeidaCentre for Clinical Immunology and Biomedical Statistics, Institute of Immunology and Infectious Diseases, Murdoch University, Perth, Western Australia, Australia.
Steven G Roberts
Rebecca Laird
Elizabeth McKinnon
Imran Ahmad
Niamh M Keane
Abha Chopra
Carl Kadie
David Heckerman
Simon Mallal
Mina John
Murdoch University · AUMicrosoft (United States) · US

Funding

Tennessee CFAR: Implementation of Culturally Responsive Trauma-Informed Care with Youth with HIV in Memphis, TNP30AI110527 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI John Koethe · 2015 to 2026
$27.5M
HIV-1 adaptation to HLA-restricted immune responsesR01AI060460 · NIAID · MURDOCH UNIVERSITY · PI MALLAL, SIMON ALEXANDER · 2004 to 2008
$1.3M
NIAID NIH HHS P30 AI110527NIAID NIH HHS R01 AI060460
6 · The paper itself

Abstract

Since HLA-restricted cytotoxic T-cell responses select specific polymorphisms in HIV-1 sequences and HLA diversity is relatively static in human populations, we investigated the use of peptide epitopes based on sites of HLA-associated adaptation in HIV-1 sequences to stimulate and detect T-cell responses ex vivo. These "HLA-optimised" peptides captured more HIV-1 Nef-specific responses compared with overlapping peptides of a single consensus sequence, in interferon-gamma enzyme linked immunospot assays. Sites of immune selection can reveal more immunogenic epitopes in HLA-diverse populations and offer insights into the nature of HLA-epitope targeting, which could be applied in vaccine design.

Indexed as

CD8-Positive T-LymphocytesConsensus SequenceEpitopes, T-LymphocyteFemaleHIV-1HIV InfectionsHLA-A AntigensHumansInterferon-gammaMalenef Gene Products, Human Immunodeficiency VirusPeptidesPolymorphism, GeneticEpitopes, T-LymphocyteHLA-A AntigensInterferon-gammanef Gene Products, Human Immunodeficiency VirusPeptides

Identifiers

PMID20619380
PMCPMC2949439
OpenAlexW2053426569

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.