Evidence map›Paper›PMID 26107956›Full record

ArticlePloS one2015

Anti-hepatitis C virus T-cell immunity in the context of multiple exposures to the virus.

Katja Pfafferott, Pooja Deshpande, Elizabeth McKinnon, Shahzma Merani, Andrew Lucas, David Heckerman, Simon Mallal, Mina John, Silvana Gaudieri, Michaela Lucas

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Evidence of CD4Scientific reports · 2018
    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

10 authors at 4 institutions in 2 countries.

Katja PfafferottInstitute for Immunology and Infectious Diseases, Murdoch University, Murdoch, Western Australia, Australia.
Pooja DeshpandeSchool of Anatomy, Physiology and Human Biology, University of Western Australia, Crawley, Western Australia, Australia.
Elizabeth McKinnonInstitute for Immunology and Infectious Diseases, Murdoch University, Murdoch, Western Australia, Australia.
Shahzma MeraniCentre for Forensic Science, University of Western Australia, Crawley, Western Australia, Australia.
Andrew LucasInstitute for Immunology and Infectious Diseases, Murdoch University, Murdoch, Western Australia, Australia.
David HeckermanMicrosoft Research, Microsoft, Redmond, Washington, United States of America.
Simon MallalInstitute for Immunology and Infectious Diseases, Murdoch University, Murdoch, Western Australia, Australia; Division of Infectious Diseases, Department of Medicine and Department of Pathology, Microbiology and Immunology, Vanderbilt University, Nashville, Tennessee, United States of America.
Mina JohnInstitute for Immunology and Infectious Diseases, Murdoch University, Murdoch, Western Australia, Australia.
Silvana GaudieriInstitute for Immunology and Infectious Diseases, Murdoch University, Murdoch, Western Australia, Australia; School of Anatomy, Physiology and Human Biology, University of Western Australia, Crawley, Western Australia, Australia.
Michaela LucasInstitute for Immunology and Infectious Diseases, Murdoch University, Murdoch, Western Australia, Australia; School of Medicine and Pharmacology, Harry Perkins Institute, University of Western Australia, Crawley, Western Australia, Australia; School of Pathology and Laboratory Medicine, University of Western Australia, Crawley, Western Australia, Australia.
Murdoch University · AUUniversity of Western Australia · AUMicrosoft (United States) · USVanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterisation of Hepatitis C virus (HCV)-specific CD8+ T-cell responses in the context of multiple HCV exposures is critical to identify broadly protective immune responses necessary for an effective HCV vaccine against the different HCV genotypes. However, host and viral genetic diversity complicates vaccine development. To compensate for the observed variation in circulating autologous viruses and host molecules that restrict antigen presentation (human leucocyte antigens; HLA), this study used a reverse genomics approach that identified sites of viral adaptation to HLA-restricted T-cell immune pressure to predict genotype-specific HCV CD8+ T-cell targets. Peptides representing these putative HCV CD8+ T-cell targets, and their adapted form, were used in individualised IFN-γ ELISpot assays to screen for HCV-specific T-cell responses in 133 HCV-seropositive subjects with high-risk of multiple HCV exposures. The data obtained from this study i) confirmed that genetic studies of viral evolution is an effective approach to detect novel in vivo HCV T-cell targets, ii) showed that HCV-specific T-cell epitopes can be recognised in their adapted form and would not have been detected using wild-type peptides and iii) showed that HCV-specific T-cell (but not antibody) responses against alternate genotypes in chronic HCV-infected subjects are readily found, implying clearance of previous alternate genotype infection. In summary, HCV adaptation to HLA Class I-restricted T-cell responses plays a central role in anti-HCV immunity and multiple HCV genotype exposure is highly prevalent in at-risk exposure populations, which are important considerations for future vaccine design.

Indexed as

HepacivirusAllelesCD8-Positive T-LymphocytesCohort StudiesEnzyme-Linked Immunospot AssayEpitopes, T-LymphocyteFemaleGenomicsGenotypeHepatitis CHepatitis C, ChronicHLA AntigensHumansMalePeptidesEpitopes, T-LymphocyteHLA AntigensPeptides

Identifiers

PMID26107956
PMCPMC4480353
OpenAlexW2135224352

What OpenQuestion holds

Textmetadata
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.