Evidence map›Paper›PMID 20218851›Full record

ArticleExpert review of vaccines2010

Making antigen invisible: a coinhibitory molecule regulates the interaction between T cells and dendritic cells.

Helmut Diepolder, Reinhard Obst

Abstract readComment
PubMed Publisher
In one paragraph

Article in Expert review of vaccines, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 83% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Helmut DiepolderInstitute for Immunology and Medical Department II, Medical Faculty, Ludwig-Maximilians-University, Goethestr. 31, 80336 München, Germany. helmut.diepolder@med.uni-muenchen.de
Reinhard Obst
Ludwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antigen-specific downregulation of T-cell effector function is critical for maintaining self-tolerance but it can promote pathogen persistence in chronic infections; consequently, the restoration of T-cell effector functions is a major goal of therapeutic vaccines against chronic viral infections and malignancies. Recently, a number of T-cell inhibitory receptors, most prominently programmed death-1 (PD-1) and cytotoxic T-lymphocyte antigen-4, have been described that are associated with T-cell exhaustion and tolerance. Blocking these receptors can restore T-cell function and, depending on the model, lead to autoimmune disease or successful viral elimination. Antibodies to PD-1 and cytotoxic T-lymphocyte antigen-4 are currently being tested in clinical trials in several malignant diseases and chronic hepatitis C as they are promising candidates for combination with both prophylactic and therapeutic vaccines. Given the central role of T-cell inhibitory receptors in the regulation of immune responses, understanding their molecular mode of action is of major importance. In the report from Fife and colleagues, two-photon laser scanning microscopy of mouse lymphoid and peripheral tissue has been employed to study the interaction of tolerized PD-1-expressing T cells with antigen-bearing dendritic cells in vivo. While tolerized T cells moved freely and did not make prolonged contacts with dendritic cells, addition of an antibody that blocked the interaction between PD-1 and its ligand PD-L1 lowered T-cell motility, enhanced T-cell-dendritic cell contacts and caused autoimmune disease in the nonobese diabetic mouse model of autoimmune diabetes. The authors conclude that PD-1-PD-L1 interactions mediate peripheral tolerance by inhibiting T-cell receptor-induced stop signals.

Identifiers

PMID20218851
OpenAlexW2155284381

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.