Evidence map›Paper›PMID 22617051›Full record

ArticleAIDS (London, England)2012

Abacavir induces loading of novel self-peptides into HLA-B*57: 01: an autoimmune model for HLA-associated drug hypersensitivity.

Michael A Norcross, Shen Luo, Li Lu, Michael T Boyne, Mary Gomarteli, Aaron D Rennels, Janet Woodcock, David H Margulies, Curtis McMurtrey, Stephen Vernon and 2 more

Abstract read
In one paragraph

Article in AIDS (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing 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

91 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Genetic and Genomic Approaches to the Study of Drug-Induced Liver Injury.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  9. Article
  10. Article
  11. Drug hypersensitivity reactions: review of the state of the science for prediction and diagnosis.Toxicological sciences : an official journal of the Society of Toxicology · 2024
    Review
  12. Article
  13. Review
  14. Tools for Etiologic Diagnosis of Drug-Induced Allergic Conditions.International journal of molecular sciences · 2023
    Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Michael A NorcrossLaboratory of Immunology, Division of Therapeutic Proteins, Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration, Bethesda, MD 20892, USA. Michael.norcross@fda.hhs.gov
Shen Luo
Li Lu
Michael T Boyne
Mary Gomarteli
Aaron D Rennels
Janet Woodcock
David H Margulies
Curtis McMurtrey
Stephen Vernon
William H Hildebrand
Rico Buchli

Funding

Molecular Genetic Analysis Of Lymphocyte FunctionZIAAI000394 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI MARGULIES, DAVID · 2009 to 2025
$11.5M
Molecular Interactions Of Lymphoid Cell ReceptorsZIAAI000622 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI MARGULIES, DAVID · 2009 to 2025
$11.0M
Discovery and Targeting of HIV-1 Associated AntigensR01AI090672 · NIAID · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI HILDEBRAND, WILLIAM · 2010 to 2013
$2.0M
Intramural NIH HHS ZIA AI000394NIAID NIH HHS R01 AI090672
6 · The paper itself

Abstract

backgroundAbacavir drug hypersensitivity in HIV-treated patients is associated with HLA-B57:01 expression. To understand the immunochemistry of abacavir drug reactions, we investigated the effects of abacavir on HLA-B57:01 epitope-binding in vitro and the quality and quantity of self-peptides presented by HLA-B57:01 from abacavir-treated cells. DESIGN AND

methodsAn HLA-B57:01-specific epitope-binding assay was developed to test for effects of abacavir, didanosine or flucloxacillin on self-peptide binding. To examine whether abacavir alters the peptide repertoire in HLA-B57:01, a B-cell line secreting soluble human leucocyte antigen (sHLA) was cultured in the presence or absence of abacavir, peptides were eluted from purified human leucocyte antigen (HLA), and the peptide epitopes comparatively mapped by mass spectroscopy to identify drug-unique peptides.

resultsAbacavir, but not didansosine or flucloxacillin, enhanced binding of the FITC-labeled self-peptide LF9 to HLA-B57:01 in a dose-dependent manner. Endogenous peptides isolated from abacavir-treated HLA-B57:01 B cells showed amino acid sequence differences compared with peptides from untreated cells. Novel drug-induced peptides lacked typical carboxyl (C) terminal amino acids characteristic of the HLA-B57:01 peptide motif and instead contained predominantly isoleucine or leucine residues. Drug-induced peptides bind to soluble HLA-B57:01 with high affinity that was not altered by abacavir addition.

conclusionOur results support a model of drug-induced autoimmunity in which abacavir alters the quantity and quality of self-peptide loading into HLA-B57:01. Drug-induced loading of novel self-peptides into HLA, possibly by abacavir either altering the binding cleft or modifying the peptide-loading complex, generates an array of neo-antigen peptides that drive polyclonal T-cell autoimmune responses and multiorgan systemic toxicity.

Indexed as

AbacavirAcquired Immunodeficiency SyndromeAnti-HIV AgentsAutoimmunityCells, CulturedDideoxynucleosidesDose-Response Relationship, DrugDrug HypersensitivityHistocompatibility TestingHLA-B AntigensHumansModels, ImmunologicalPeptide FragmentsSelf ToleranceSpectrum AnalysisAbacavirAnti-HIV AgentsDideoxynucleosidesHLA-B*57:01 antigenHLA-B AntigensPeptide Fragments

Identifiers

PMID22617051
PMCPMC4155923

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.