Evidence map›Paper›PMID 36073000›Full record

ArticleThe Journal of clinical endocrinology and metabolism2022

Islet Autoantibody Level Distribution in Type 1 Diabetes and Their Association With Genetic and Clinical Characteristics.

Sian Louise Grace, Jack Bowden, Helen C Walkey, Akaal Kaur, Shivani Misra, Beverley M Shields, Trevelyan J McKinley, Nick S Oliver, Timothy J McDonald, Desmond G Johnston and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Type 1 Diabetes Is Not Just a Pediatric Problem.Clinical diabetes : a publication of the American Diabetes Association · 2025
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  6. 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

12 authors at 2 institutions in 1 country.

Sian Louise GraceInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK.ORCID 0000-0001-6925-9780
Jack BowdenInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK.
Helen C WalkeyDivision of Diabetes, Endocrinology and Metabolism, Imperial College London, London SW7 2AZ, UK.
Akaal KaurDivision of Diabetes, Endocrinology and Metabolism, Imperial College London, London SW7 2AZ, UK.
Shivani MisraDivision of Diabetes, Endocrinology and Metabolism, Imperial College London, London SW7 2AZ, UK.
Beverley M ShieldsInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK.
Trevelyan J McKinleyInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK.
Nick S OliverDivision of Diabetes, Endocrinology and Metabolism, Imperial College London, London SW7 2AZ, UK.
Timothy J McDonaldInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK.
Desmond G JohnstonDivision of Diabetes, Endocrinology and Metabolism, Imperial College London, London SW7 2AZ, UK.
Angus G JonesInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK.
Kashyap A PatelInstitute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, Devon EX2 5DW, UK.ORCID 0000-0002-9240-8104
University of Exeter · GBImperial College London · GB

Funding

Expanding Excellence in EnglandNational Institute for Health Research CS-2015-15-018Wellcome Trust 219606/Z/19/Z
6 · The paper itself

Abstract

contextThe importance of the autoantibody level at diagnosis of type 1 diabetes (T1D) is not clear.

objectiveWe aimed to assess the association of glutamate decarboxylase (GADA), islet antigen-2 (IA-2A), and zinc transporter 8 (ZnT8A) autoantibody levels with clinical and genetic characteristics at diagnosis of T1D.

methodsWe conducted a prospective, cross-sectional study. GADA, IA-2A, and ZnT8A were measured in 1644 individuals with T1D at diagnosis using radiobinding assays. Associations between autoantibody levels and the clinical and genetic characteristics for individuals were assessed in those positive for these autoantibodies. We performed replication in an independent cohort of 449 people with T1D.

resultsGADA and IA-2A levels exhibited a bimodal distribution at diagnosis. High GADA level was associated with older age at diagnosis (median 27 years vs 19 years, P = 9 × 10-17), female sex (52% vs 37%, P = 1 × 10-8), other autoimmune diseases (13% vs 6%, P = 3 × 10-6), and HLA-DR3-DQ2 (58% vs 51%, P = .006). High IA-2A level was associated with younger age of diagnosis (median 17 years vs 23 years, P = 3 × 10-7), HLA-DR4-DQ8 (66% vs 50%, P = 1 × 10-6), and ZnT8A positivity (77% vs 52%, P = 1 × 10-15). We replicated our findings in an independent cohort of 449 people with T1D where autoantibodies were measured using enzyme-linked immunosorbent assays.

conclusionIslet autoantibody levels provide additional information over positivity in T1D at diagnosis. Bimodality of GADA and IA-2A autoantibody levels highlights the novel aspect of heterogeneity of T1D. This may have implications for T1D prediction, treatment, and pathogenesis.

Indexed as

Diabetes Mellitus, Type 1AdolescentAutoantibodiesCross-Sectional StudiesFemaleGlutamate DecarboxylaseHumansProspective StudiesAutoantibodiesGlutamate Decarboxylaseglutamate decarboxylase autoantibodies (GADA)islet antigen-2 autoantibodies (IA-2A) and zinc transporter 8 autoantibodies (ZnT8A)type 1 diabetes

Identifiers

PMID36073000
PMCPMC9693812
OpenAlexW4294991414

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.