Evidence map›Paper›PMID 34868047›Full record

ReviewFrontiers in immunology2021

Using the T Cell Receptor as a Biomarker in Type 1 Diabetes.

Maki Nakayama, Aaron W Michels

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.8field-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

34 citing papers in PubMed, 49 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Maki NakayamaBarbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, United States.
Aaron W MichelsBarbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, United States.
University of Colorado Denver · US

Funding

University of Colorado Anschutz Medical Campus DRCP30DK116073 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI LORI SUSSEL · 2020 to 2026
$10.8M
Multiple Autoantigens/Multiple Epitopes of Type 1DMR01DK032083 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI MICHELS, AARON W · 1986 to 2025
$6.9M
Molecular Dissection of Insulin Targeting in Anti-Islet AutoimmunityR01DK099317 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI AARON W MICHELS, Maki Nakayama · 2013 to 2026
$5.3M
Insulin Specific T Cell Response Shaped by Diabetes Protective MHC Class II MoleculesR01DK108868 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI AARON W MICHELS · 2017 to 2026
$3.6M
Insulin Specific T and B cells in Type 1 DiabetesDP3DK110845 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI CAMBIER, JOHN C, MICHELS, AARON W · 2016 to 2016
$1.7M
NIDDK NIH HHS P30 DK116073NIDDK NIH HHS R01 DK032083NIDDK NIH HHS R01 DK099317NIDDK NIH HHS R01 DK108868
6 · The paper itself

Abstract

T cell receptors (TCRs) are unique markers that define antigen specificity for a given T cell. With the evolution of sequencing and computational analysis technologies, TCRs are now prime candidates for the development of next-generation non-cell based T cell biomarkers, which provide a surrogate measure to assess the presence of antigen-specific T cells. Type 1 diabetes (T1D), the immune-mediated form of diabetes, is a prototypical organ specific autoimmune disease in which T cells play a pivotal role in targeting pancreatic insulin-producing beta cells. While the disease is now predictable by measuring autoantibodies in the peripheral blood directed to beta cell proteins, there is an urgent need to develop T cell markers that recapitulate T cell activity in the pancreas and can be a measure of disease activity. This review focuses on the potential and challenges of developing TCR biomarkers for T1D. We summarize current knowledge about TCR repertoires and clonotypes specific for T1D and discuss challenges that are unique for autoimmune diabetes. Ultimately, the integration of large TCR datasets produced from individuals with and without T1D along with computational 'big data' analysis will facilitate the development of TCRs as potentially powerful biomarkers in the development of T1D.

Indexed as

BiomarkersDisease SusceptibilityAllelesAnimalsDiabetes Mellitus, Type 1EpitopesGenetic Predisposition to DiseaseGenetic VariationHistocompatibility AntigensHumansIslets of LangerhansPeptidesProtein BindingReceptors, Antigen, T-CellT-LymphocytesBiomarkersEpitopesHistocompatibility AntigensPeptidesReceptors, Antigen, T-CellautoimmunityHLAMHCT cellsTCR sequencingtype 1 diabetes

Identifiers

PMID34868047
PMCPMC8635517
OpenAlexW3213135337

What OpenQuestion holds

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LicenceCC BY
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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.