Evidence map›Paper›PMID 22896606›Full record

ArticleJournal of virology2012

HIV control through a single nucleotide on the HLA-B locus.

Henrik N Kløverpris, Mikkel Harndahl, Alasdair J Leslie, Jonathan M Carlson, Nasreen Ismail, Mary van der Stok, Kuan-Hsiang Gary Huang, Fabian Chen, Lynn Riddell, Dewald Steyn and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. HLA-B*14:02-Restricted Env-Specific CD8Journal of virology · 2017
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Role of HIV-specific CD8The Journal of experimental medicine · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  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

18 authors at 10 institutions in 4 countries.

Henrik N KløverprisDepartment of Paediatrics, University of Oxford, Oxford, United Kingdom. henrik.kloverpris@paediatrics.ox.ac.uk
Mikkel Harndahl
Alasdair J Leslie
Jonathan M Carlson
Nasreen Ismail
Mary van der Stok
Kuan-Hsiang Gary Huang
Fabian Chen
Lynn Riddell
Dewald Steyn
Dominique Goedhals
Cloete van Vuuren
John Frater
Bruce D Walker
Mary Carrington
Thumbi Ndung'u
Søren Buus
Philip Goulder
University of Oxford · GBUniversity of the Free State · ZAUniversity of Copenhagen · DKUniversity of KwaZulu-Natal · ZAFrederick National Laboratory for Cancer Research · USHoward Hughes Medical Institute · USMicrosoft (United States) · USNorthampton General Hospital · GBRagon Institute of MGH, MIT and Harvard · USRoyal Berkshire Hospital · GB

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Daniel Lingwood · 2004 to 2026
$94.4M
Effects of genetic polymorphism in MHC, KIR, and related loci on human diseaseZIABC010791 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CARRINGTON, MARY N. · 2009 to 2025
$18.2M
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
CCR NIH HHS HHSN261200800001CIntramural NIH HHSMedical Research Council G108/626NCI NIH HHS HHSN261200800001ENIAID NIH HHS P30 AI060354NIAID NIH HHS R01 AI046995NIAID NIH HHS R01 AI46995Wellcome Trust
6 · The paper itself

Abstract

Genetic variation within the HLA-B locus has the strongest impact on HIV disease progression of any polymorphisms within the human genome. However, identifying the exact mechanism involved is complicated by several factors. HLA-Bw4 alleles provide ligands for NK cells and for CD8 T cells, and strong linkage disequilibrium between HLA class I alleles complicates the discrimination of individual HLA allelic effects from those of other HLA and non-HLA alleles on the same haplotype. Here, we exploit an experiment of nature involving two recently diverged HLA alleles, HLA-B*42:01 and HLA-B*42:02, which differ by only a single amino acid. Crucially, they occur primarily on identical HLA class I haplotypes and, as Bw6 alleles, do not act as NK cell ligands and are therefore largely unconfounded by other genetic factors. We show that in an outbred cohort (n = 2,093) of HIV C-clade-infected individuals, a single amino acid change at position 9 of the HLA-B molecule critically affects peptide binding and significantly alters the cytotoxic T lymphocyte (CTL) epitopes targeted, measured directly ex vivo by gamma interferon (IFN-γ) enzyme-linked immunospot (ELISPOT) assay (P = 2 × 10(-10)) and functionally through CTL escape mutation (P = 2 × 10(-8)). HLA-B*42:01, which presents multiple Gag epitopes, is associated with a 0.52 log(10) lower viral-load set point than HLA-B*42:02 (P = 0.02), which presents no p24 Gag epitopes. The magnitude of this effect from a single amino acid difference in the HLA-A*30:01/B*42/Cw*17:01 haplotype is equivalent to 75% of that of HLA-B*57:03, the most protective HLA class I allele in this population. This naturally controlled experiment represents perhaps the clearest demonstration of the direct impact of a particular HIV-specific CTL on disease control.

Indexed as

Disease ResistancePolymorphism, Single NucleotideAdultAllelesHIV-1HIV InfectionsHLA-B27 AntigenHumansViral LoadHLA-B27 AntigenHLA-B protein, human

Identifiers

PMID22896606
PMCPMC3486337
OpenAlexW2147745287

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.