Evidence map›Paper›PMID 38582818›Full record

ArticleCommunications medicine2024

Islet autoantibodies as precision diagnostic tools to characterize heterogeneity in type 1 diabetes: a systematic review.

Jamie L Felton, Maria J Redondo, Richard A Oram, Cate Speake, S Alice Long, Suna Onengut-Gumuscu, Stephen S Rich, Gabriela S F Monaco, Arianna Harris-Kawano, Dianna Perez and 13 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
20.9field-weighted citation impact, top 1% 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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 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

23 authors at 20 institutions in 26 countries.

Jamie L FeltonDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0002-6170-1156
Maria J RedondoDepartment of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Richard A OramNIHR Exeter Biomedical Research Centre (BRC), Academic Kidney Unit, University of Exeter, Exeter, UK.
Cate SpeakeCenter for Interventional Immunology, Benaroya Research Institute, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-1480-4272
S Alice LongCenter for Translational Immunology, Benaroya Research Institute, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0281-1240
Suna Onengut-GumuscuCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0002-6563-8334
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0003-3872-7793
Gabriela S F MonacoDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.
Arianna Harris-KawanoDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.
Dianna PerezDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.ORCID http://orcid.org/0009-0005-1875-1763
Zeb SaeedDepartment of Endocrinology, Diabetes and Metabolism, Indiana University School of Medicine, Indianapolis, IN, USA.
Benjamin HoagDepartment of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA.
Rashmi JainDepartment of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA.
Carmella Evans-MolinaDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.
Linda A DiMeglioDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0002-8033-6078
Heba M IsmailDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.
Dana DabeleaLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA.
Randi K JohnsonDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Marzhan UrazbayevaDepartment of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
John M WentworthRoyal Melbourne Hospital Department of Diabetes and Endocrinology, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0002-5197-3529
Kurt J Griffin *Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA.
Emily K Sims *Department of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA. eksims@iu.edu.ORCID http://orcid.org/0000-0002-4393-954X
ADA/EASD PMDI
Johns Hopkins University · USUniversity of Copenhagen · DKBroad Institute · USIndiana University School of MedicineHarvard University · USNorthwestern University · USUniversity of Exeter · GBChinese University of Hong Kong · HKUniversity of Dundee · GBUniversity of South Dakota · USLund University · SEBaylor College of Medicine · USBrigham and Women's Hospital · USJoslin Diabetes Center · USNational Institutes of Health · USUniversity of Maryland, Baltimore · USHôpital Necker-Enfants Malades · FRUniversity of Chicago · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Pittsburgh · US

Funding

NIDDK Follow-up on Subjects and Immunological Assessments in The Environmental Determinants of Diabetes In The Young Study (TEDDY) (UC4)UC4DK117483 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2017 to 2020
$30.4M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
RARE and Atypical Diabetes Network(RADIANT)U54DK118638 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI ASHOK BALASUBRAMANYAM, JEFFREY P KRISCHER · 2018 to 2026
$22.7M
Translation CoreP30DK097512 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Carmella Evans-Molina · 2015 to 2026
$17.4M
Diabetes-Docs: Physician-Scientist Career Development Program (DiabDocs)K12DK133995 · NIDDK · STANFORD UNIVERSITY · PI LINDA A DIMEGLIO, David Matthew Maahs · 2022 to 2026
$16.0M
The Integrated Stress Response in Human Islets During Early T1DU01DK127786 · NIDDK · UNIVERSITY OF CHICAGO · PI EVANS-MOLINA, CARMELLA, MIRMIRA, RAGHAVENDRA G · 2020 to 2025
$7.1M
Defining the features of T cell response to tumor and self-antigens as predictors of response to checkpoint therapyR01CA231226 · NCI · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI BUCKNER, JANE HOYT, LINSLEY, PETER S · 2019 to 2024
$5.1M
Functional Mechanisms of T1D Risk Variants and their Target Genes using 3D Epigenomics and Single Cell ApproachesR01DK122586 · NIDDK · UNIVERSITY OF VIRGINIA · PI GRANT, STRUAN F A, RICH, STEPHEN S. · 2019 to 2022
$4.8M
Mechanisms of Beta Cell Function in Health and DiseaseR01DK093954 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EVANS-MOLINA, CARMELLA · 2011 to 2019
$3.5M
Immune Checkpoints in Acute Respiratory Distress Syndrome (IC-ARDS)R01HL149676 · NHLBI · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI MIKACENIC, CARMEN R · 2020 to 2024
$3.0M
Defining mechanisms of CD8 T cell exhaustion in T1DR01AI141952 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI LONG, S ALICE · 2020 to 2024
$2.8M
Implications of Changes in Islet Exosomal Cargo in Type 1 DiabetesR01DK133881 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EVANS-MOLINA, CARMELLA, MIRMIRA, RAGHAVENDRA G · 2022 to 2025
$2.7M
BLRD VA I01 BX001733NCATS NIH HHS UL1 TR001108NCI NIH HHS R01 CA231226NHLBI NIH HHS R01 HL149676NIAID NIH HHS R01 AI141952NIDDK NIH HHS K12 DK133995NIDDK NIH HHS K23 DK129799NIDDK NIH HHS P30 DK097512NIDDK NIH HHS R01 DK093954NIDDK NIH HHS R01 DK121843NIDDK NIH HHS R01 DK121929NIDDK NIH HHS R01 DK122586NIDDK NIH HHS R01 DK124395NIDDK NIH HHS R01 DK127236NIDDK NIH HHS R01 DK127308NIDDK NIH HHS R01 DK133881NIDDK NIH HHS R03 DK127472NIDDK NIH HHS U01 DK127382NIDDK NIH HHS U01 DK127786NIDDK NIH HHS U54 DK118638NIDDK NIH HHS UC4 DK104166NIDDK NIH HHS UC4 DK117483
6 · The paper itself

Abstract

backgroundIslet autoantibodies form the foundation for type 1 diabetes (T1D) diagnosis and staging, but heterogeneity exists in T1D development and presentation. We hypothesized that autoantibodies can identify heterogeneity before, at, and after T1D diagnosis, and in response to disease-modifying therapies.

methodsWe systematically reviewed PubMed and EMBASE databases (6/14/2022) assessing 10 years of original research examining relationships between autoantibodies and heterogeneity before, at, after diagnosis, and in response to disease-modifying therapies in individuals at-risk or within 1 year of T1D diagnosis. A critical appraisal checklist tool for cohort studies was modified and used for risk of bias assessment.

resultsHere we show that 152 studies that met extraction criteria most commonly characterized heterogeneity before diagnosis (91/152). Autoantibody type/target was most frequently examined, followed by autoantibody number. Recurring themes included correlations of autoantibody number, type, and titers with progression, differing phenotypes based on order of autoantibody seroconversion, and interactions with age and genetics. Only 44% specifically described autoantibody assay standardization program participation.

conclusionsCurrent evidence most strongly supports the application of autoantibody features to more precisely define T1D before diagnosis. Our findings support continued use of pre-clinical staging paradigms based on autoantibody number and suggest that additional autoantibody features, particularly in relation to age and genetic risk, could offer more precise stratification. To improve reproducibility and applicability of autoantibody-based precision medicine in T1D, we propose a methods checklist for islet autoantibody-based manuscripts which includes use of precision medicine MeSH terms and participation in autoantibody standardization workshops.

Identifiers

PMID38582818
PMCPMC10998887
OpenAlexW4394014299

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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.