Evidence map›Paper›PMID 21785617›Full record

ReviewClinical & developmental immunology2011

T cell recognition of autoantigens in human type 1 diabetes: clinical perspectives.

Roberto Mallone, Vedran Brezar, Christian Boitard

Open access · goldAbstract readReview
In one paragraph

Review in Clinical & developmental immunology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
  2. The immunology of type 1 diabetes.Nature reviews. Immunology · 2024
    Review
  3. International journal of molecular sciences · 2023
    Article
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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

3 authors at 2 institutions in 1 country.

Roberto MalloneINSERM, U986, Hôpital St Vincent de Paul, 82 avenue Denfert Rochereau, 75014 Paris, France.
Vedran Brezar
Christian Boitard
Roche (France) · FRHôpital Cochin · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes (T1D) is an autoimmune disease driven by the activation of lymphocytes against pancreatic β-cells. Among β-cell autoantigens, preproinsulin has been ascribed a key role in the T1D process. The successive steps that control the activation of autoreactive lymphocytes have been extensively studied in animal models of T1D, but remains ill defined in man. In man, T lymphocytes, especially CD8(+) T cells, are predominant within insulitis. Developing T-cell assays in diabetes autoimmunity is, thus, a major challenge. It is expected to help defining autoantigens and epitopes that drive the disease process, to pinpoint key functional features of epitope-specific T lymphocytes along the natural history of diabetes and to pave the way towards therapeutic strategies to induce immune tolerance to β-cells. New T-cell technologies will allow defining autoreactive T-cell differentiation programs and characterizing autoimmune responses in comparison with physiologically appropriate immune responses. This may prove instrumental in the discovery of immune correlates of efficacy in clinical trials.

Indexed as

Diabetes Mellitus, Type 1Amino Acid SequenceAnimalsAutoantibodiesAutoantigensAutoimmunityCD8-Positive T-LymphocytesClinical Trials as TopicC-PeptideDiabetes Mellitus, ExperimentalEpitopes, T-LymphocyteGlutamate DecarboxylaseHLA-D AntigensHumansImmune ToleranceInsulinAutoantibodiesAutoantigensC-PeptideEpitopes, T-LymphocyteGlutamate DecarboxylaseHLA-D AntigensInsulinpreproinsulinProtein Precursors

Identifiers

PMID21785617
PMCPMC3140193
OpenAlexW2108689778

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.