Evidence map›Paper›PMID 31221801›Full record

ArticleDiabetes2019

Standardizing T-Cell Biomarkers in Type 1 Diabetes: Challenges and Recent Advances.

Simi Ahmed, Karen Cerosaletti, Eddie James, S Alice Long, Stuart Mannering, Cate Speake, Maki Nakayama, Timothy Tree, Bart O Roep, Kevan C Herold and 1 more

Open access · greenAbstract read
In one paragraph

Article in Diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 63 citations in OpenAlex.

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  10. Time to reframe the disease staging system for type 1 diabetes.The lancet. Diabetes & endocrinology · 2024
    Review
  11. Circulating pancreatic enzyme levels are a causal biomarker of type 1 diabetes.medRxiv : the preprint server for health sciences · 2024
    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

11 authors at 8 institutions in 3 countries.

Simi AhmedImmunotherapies Program, Research, JDRF, New York, NY.
Karen CerosalettiBenaroya Research Institute at Virginia Mason, Seattle, WA.
Eddie JamesBenaroya Research Institute at Virginia Mason, Seattle, WA.ORCID 0000-0002-7217-5729
S Alice LongBenaroya Research Institute at Virginia Mason, Seattle, WA.ORCID 0000-0002-0281-1240
Stuart ManneringSt Vincent's Institute of Medical Research, Victoria, Australia.
Cate SpeakeBenaroya Research Institute at Virginia Mason, Seattle, WA.
Maki NakayamaDepartments of Pediatrics and Integrated Immunology, Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO.
Timothy TreeDepartment of Immunobiology, King's College London, London, U.K.
Bart O RoepDepartment of Diabetes Immunobiology, City of Hope Diabetes & Metabolism Research Institute, Duarte, CA.ORCID 0000-0003-1616-8337
Kevan C HeroldDepartments of Immunobiology and Medicine, Yale School of Medicine, New Haven, CT.ORCID 0000-0003-1534-6613
Todd M BruskoDepartment of Pathology, University of Florida Diabetes Institute, Gainesville, FL tbrusko@ufl.edu.ORCID 0000-0003-2878-9296
Virginia Mason Medical Center · USBreakthrough T1D · USCity of Hope · USKing's College London · GBSt Vincents Institute of Medical Research · AUUniversity of Colorado Anschutz Medical Campus · USUniversity of Florida · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Diabetes Research CenterP30DK045735 · NIDDK · YALE UNIVERSITY · PI Richard A Flavell · 1993 to 2026
$44.0M
Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
Project 3P01AI042288 · NIAID · UNIVERSITY OF FLORIDA · PI Todd Michael Brusko · 1997 to 2026
$32.9M
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
The CD226 costimulatory axis in type 1 diabetesR01DK106191 · NIDDK · UNIVERSITY OF FLORIDA · PI Todd Michael Brusko · 2016 to 2026
$4.4M
Genetic Regulation of Human Beta Cell DestructionUC4DK104194 · NIDDK · UNIVERSITY OF FLORIDA · PI MATHEWS, CLAYTON E · 2014 to 2014
$3.1M
NCATS NIH HHS UL1 TR001863NIAID NIH HHS P01 AI042288NIDDK NIH HHS P30 DK017047NIDDK NIH HHS P30 DK045735NIDDK NIH HHS R01 DK032083NIDDK NIH HHS R01 DK099317NIDDK NIH HHS R01 DK106191NIDDK NIH HHS UC4 DK104194
6 · The paper itself

Abstract

Type 1 diabetes (T1D) results from the progressive destruction of pancreatic β-cells in a process mediated primarily by T lymphocytes. The T1D research community has made dramatic progress in understanding the genetic basis of the disease as well as in the development of standardized autoantibody assays that inform both disease risk and progression. Despite these advances, there remains a paucity of robust and accepted biomarkers that can effectively inform on the activity of T cells during the natural history of the disease or in response to treatment. In this article, we discuss biomarker development and validation efforts for evaluation of T-cell responses in patients with and at risk for T1D as well as emerging technologies. It is expected that with systematic planning and execution of a well-conceived biomarker development pipeline, T-cell-related biomarkers would rapidly accelerate disease progression monitoring efforts and the evaluation of intervention therapies in T1D.

Indexed as

BiomarkersDiabetes Mellitus, Type 1GenomicsHumansInsulin-Secreting CellsModels, AnimalT-LymphocytesBiomarkers

Identifiers

PMID31221801
PMCPMC6609980
OpenAlexW2951073761

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.