Evidence map›Paper›PMID 25767470›Full record

ReviewFrontiers in immunology2015

Methodologies for the Analysis of HCV-Specific CD4(+) T Cells.

Megha U Lokhande, Robert Thimme, Paul Klenerman, Nasser Semmo

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2015. 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
0.8field-weighted citation impact, top 28% 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, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. CD4Cells · 2021
    Review
  4. Review
  5. Characterizing Hepatitis C Virus-Specific CD4Hepatology (Baltimore, Md.) · 2020
    Observational
  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

4 authors at 3 institutions in 3 countries.

Megha U LokhandeHepatology, Department of Clinical Research, University of Bern , Bern , Switzerland.
Robert ThimmeDepartment of Gastroenterology and Hepatology, University Hospital of Freiburg , Freiburg , Germany.
Paul KlenermanNIHR Biomedical Research Centre, Oxford and Peter Medawar Building for Pathogen Research, University of Oxford , Oxford , UK.
Nasser SemmoHepatology, Department of Clinical Research, University of Bern , Bern , Switzerland ; Department of Hepatology, University Clinic of Visceral Surgery and Medicine , Inselspital, Bern , Switzerland.
University of Bern · CHMedawar Building for Pathogen Research · GBUniversity Medical Center Freiburg · DE

Funding

Wellcome Trust 091663
6 · The paper itself

Abstract

Virus-specific CD4(+) T cells play a major role in viral infections, such as hepatitis C virus (HCV). Viral clearance is associated with vigorous and multi-specific CD4(+) T-cell responses, while chronic infection has been shown to be associated with weak or absent T-cell responses. Most of these studies have used functional assays to analyze virus-specific CD4(+) T-cell responses; however, these and other detection methods have various limitations. Therefore, the important question of whether virus-specific CD4(+) T cells are completely absent or primarily impaired in specific effector functions during chronic infection, has yet to be analyzed in detail. A novel assay, in which virus-specific CD4(+) T-cell frequencies can be determined by de novo CD154 (CD40 ligand) expression in response to viral antigens, can help to overcome some of the limitations of functional assays and restrictions of multimer-based methods. This and other current established methods for the detection of HCV-specific CD4(+) T cells will be discussed in this review.

Indexed as

CD154CD4 T cellsELISpotFACShepatitis Ctetramersviral hepatitis

Identifiers

PMID25767470
PMCPMC4341113
OpenAlexW2042245957

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.