Evidence map›Paper›PMID 37406136›Full record

ArticleScience translational medicine2023

Measuring anti-islet autoimmunity in mouse and human by profiling peripheral blood antigen-specific CD4 T cells.

Siddhartha Sharma, Xuqian Tan, Josh Boyer, Don Clarke, Anne Costanzo, Brian Abe, Lisa Kain, Marie Holt, Adrienne Armstrong, Marynette Rihanek and 6 more

Open access · greenAbstract read
In one paragraph

Article in Science translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 14 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

16 authors at 5 institutions in 1 country.

Siddhartha SharmaDepartment of Immunology and Microbial Science, Scripps Research Institute, La Jolla, CA 92037, USA.ORCID 0000-0001-8597-7547
Xuqian TanDepartment of Integrative Structural and Computational Biology, Scripps Research Institute, La Jolla, CA 92037, USA.ORCID 0000-0001-6044-8876
Josh BoyerDepartment of Immunology and Microbial Science, Scripps Research Institute, La Jolla, CA 92037, USA.ORCID 0009-0001-3823-7009
Don ClarkeDepartment of Immunology and Microbial Science, Scripps Research Institute, La Jolla, CA 92037, USA.ORCID 0000-0003-1917-1566
Anne CostanzoDepartment of Immunology and Microbial Science, Scripps Research Institute, La Jolla, CA 92037, USA.ORCID 0000-0003-1934-5319
Brian AbeDepartment of Immunology and Microbial Science, Scripps Research Institute, La Jolla, CA 92037, USA.ORCID 0000-0002-1262-5556
Lisa KainDepartment of Immunology and Microbial Science, Scripps Research Institute, La Jolla, CA 92037, USA.ORCID 0000-0001-5873-8647
Marie HoltDepartment of Immunology and Microbial Science, Scripps Research Institute, La Jolla, CA 92037, USA.ORCID 0000-0003-0763-4535
Adrienne ArmstrongDivision of Endocrinology, University of California San Diego, San Diego, CA 92123, USA.
Marynette RihanekBarbara Davis Center, University of Colorado, Boulder, CO 80045, USA.ORCID 0009-0003-2274-4318
Andrew SuDepartment of Integrative Structural and Computational Biology, Scripps Research Institute, La Jolla, CA 92037, USA.ORCID 0000-0002-9859-4104
Cate SpeakeDiabetes Clinical Research Program, Benaroya Research Institute at Virginia Mason, Seattle, WA,98101, USA.ORCID 0000-0003-1480-4272
Peter GottliebBarbara Davis Center, University of Colorado, Boulder, CO 80045, USA.ORCID 0000-0002-7601-8536
Michael GottschalkDivision of Pediatric Endocrinology, University of California San Diego, School of Medicine, Rady Children's Hospital, San Diego, CA 92123, USA.
Jeremy PettusDivision of Endocrinology, University of California San Diego, San Diego, CA 92123, USA.ORCID 0000-0002-5999-0091
Luc TeytonDepartment of Immunology and Microbial Science, Scripps Research Institute, La Jolla, CA 92037, USA.ORCID 0000-0002-4049-1583
Scripps Research Institute · USUniversity of Colorado Boulder · USUniversity of San Diego · USRady Children's Hospital-San Diego · USVirginia Mason Medical Center · US

Funding

Scripps Translational Science InstituteUL1TR002550 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2018 to 2022
$28.9M
Scripps Clinical and Translational Science HubUM1TR004407 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI Eric Jeffrey Topol · 2023 to 2026
$24.2M
Early diagnosis and mechanistic studies of type 1 diabetes using single cell analysisR01DK117138 · NIDDK · SCRIPPS RESEARCH INSTITUTE, THE · PI TEYTON, LUC · 2019 to 2022
$3.2M
Scripps Translational Science InstituteKL2TR001112 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TOPOL, ERIC JEFFREY · 2013 to 2017
$3.0M
NRSA Training CoreTL1TR002551 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TEYTON, LUC · 2018 to 2022
$1.2M
NCATS NIH HHS KL2 TR001112NCATS NIH HHS TL1 TR002551NCATS NIH HHS UL1 TR002550NCATS NIH HHS UM1 TR004407NIDDK NIH HHS R01 DK117138
6 · The paper itself

Abstract

The endocrine pancreas is one of the most inaccessible organs of the human body. Its autoimmune attack leads to type 1 diabetes (T1D) in a genetically susceptible population and a lifelong need for exogenous insulin replacement. Monitoring disease progression by sampling peripheral blood would provide key insights into T1D immune-mediated mechanisms and potentially change preclinical diagnosis and the evaluation of therapeutic interventions. This effort has been limited to the measurement of circulating anti-islet antibodies, which despite a recognized diagnostic value, remain poorly predictive at the individual level for a fundamentally CD4 T cell-dependent disease. Here, peptide-major histocompatibility complex tetramers were used to profile blood anti-insulin CD4 T cells in mice and humans. While percentages of these were not directly informative, the state of activation of anti-insulin T cells measured by RNA and protein profiling was able to distinguish the absence of autoimmunity versus disease progression. Activated anti-insulin CD4 T cell were detected not only at time of diagnosis but also in patients with established disease and in some at-risk individuals. These results support the concept that antigen-specific CD4 T cells might be used to monitor autoimmunity in real time. This advance can inform our approach to T1D diagnosis and therapeutic interventions in the preclinical phase of anti-islet autoimmunity.

Indexed as

Diabetes Mellitus, Type 1Islets of LangerhansAnimalsAntigensAutoimmunityCD4-Positive T-LymphocytesHumansInsulinMiceMice, Inbred NODAntigensInsulin

Identifiers

PMID37406136
PMCPMC10495123
OpenAlexW4383198622

What OpenQuestion holds

Textmetadata
LicenceTDM
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.