Evidence map›Paper›PMID 29022222›Full record

ReviewCurrent diabetes reports2017

T Cell Receptor Profiling in Type 1 Diabetes.

Laura M Jacobsen, Amanda Posgai, Howard R Seay, Michael J Haller, Todd M Brusko

Open access · hybridAbstract readReview
In one paragraph

Review in Current diabetes reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Integrating Omics into Functional Biomarkers of Type 1 Diabetes.Cold Spring Harbor perspectives in medicine · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. AIRR Community Guide to Planning and Performing AIRR-Seq Experiments.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  17. Article
  18. Review
  19. Review
  20. Review
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

5 authors at 1 institution in 1 country.

Laura M JacobsenDepartment of Pediatrics, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA.
Amanda PosgaiDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA.
Howard R SeayDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA.
Michael J HallerDepartment of Pediatrics, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA.
Todd M BruskoDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA. tbrusko@ufl.edu.
University of Florida · US

Funding

Project 3P01AI042288 · NIAID · UNIVERSITY OF FLORIDA · PI Todd Michael Brusko · 1997 to 2026
$32.9M
The CD226 costimulatory axis in type 1 diabetesR01DK106191 · NIDDK · UNIVERSITY OF FLORIDA · PI Todd Michael Brusko · 2016 to 2026
$4.4M
NIAID NIH HHS P01 AI042288NIDDK NIH HHS R01 DK106191
6 · The paper itself

Abstract

purpose of reviewThe genetic susceptibility and dominant protection for type 1 diabetes (T1D) associated with human leukocyte antigen (HLA) haplotypes, along with minor risk variants, have long been thought to shape the T cell receptor (TCR) repertoire and eventual phenotype of autoreactive T cells that mediate β-cell destruction. While autoantibodies provide robust markers of disease progression, early studies tracking autoreactive T cells largely failed to achieve clinical utility. RECENT

findingsAdvances in acquisition of pancreata and islets from T1D organ donors have facilitated studies of T cells isolated from the target tissues. Immunosequencing of TCR α/β-chain complementarity determining regions, along with transcriptional profiling, offers the potential to transform biomarker discovery. Herein, we review recent studies characterizing the autoreactive TCR signature in T1D, emerging technologies, and the challenges and opportunities associated with tracking TCR molecular profiles during the natural history of T1D.

Indexed as

AnimalsAutoimmunityBiomarkersDiabetes Mellitus, Type 1HumansImmunotherapyReceptors, Antigen, T-CellT-LymphocytesBiomarkersReceptors, Antigen, T-CellAdaptive immunityAutoimmunityHuman immune repertoireImmunosequencingT cell receptorType 1 diabetes

Identifiers

PMID29022222
PMCPMC5636870
OpenAlexW2763175706

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.