Evidence map›Paper›PMID 27221092›Full record

ArticleDiabetologia2016

Tetraspanin 7 autoantibodies in type 1 diabetes.

Denise Walther, Anne Eugster, Sibille Jergens, Anita Gavrisan, Christina Weinzierl, Tanja Telieps, Christiane Winkler, Anette G Ziegler, Ezio Bonifacio

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Diabetologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Anti-Islet Autoantibodies in Type 1 Diabetes.International journal of molecular sciences · 2023
    Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Autoimmunity to tetraspanin-7 in type 1 diabetes.Medical microbiology and immunology · 2020
    Review
  19. Birth and coming of age of islet autoantibodies.Clinical and experimental immunology · 2019
    Review
  20. Article
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

9 authors at 4 institutions in 1 country.

Denise WaltherDFG Research Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Fetscherstrasse 105, 01307, Dresden, Germany.
Anne EugsterDFG Research Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Fetscherstrasse 105, 01307, Dresden, Germany.
Sibille JergensInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany.
Anita GavrisanForschergruppe Diabetes e.V., Neuherberg, Germany.
Christina WeinzierlInstitute of Diabetes and Obesity, Helmholtz Zentrum München, Neuherberg, Germany.
Tanja TeliepsInstitute of Diabetes and Obesity, Helmholtz Zentrum München, Neuherberg, Germany.
Christiane WinklerInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany.
Anette G ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Neuherberg, Germany.
Ezio BonifacioDFG Research Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Fetscherstrasse 105, 01307, Dresden, Germany. ezio.bonifacio@crt-dresden.de.
Klinikum rechts der Isar · DEHelmholtz Zentrum München · DETechnische Universität Dresden · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisAutoantibodies to pancreatic beta cell proteins are markers of asymptomatic type 1 diabetes. The aim was to determine whether autoantibodies to the beta cell protein tetraspanin 7 would improve the ability to identify autoimmunity against pancreatic beta cells.

methodsFull length and external domain fragments of tetraspanin 7 were expressed as luciferase-tagged fusion proteins and used in immunoprecipitation assays to measure autoantibodies in samples from 363 patients with type 1 diabetes at onset of disease, 503 beta cell autoantibody negative first-degree relatives of patients, and 212 relatives with autoantibodies to insulin, glutamic acid decarboxylase, insulinoma antigen 2 or zinc transporter 8.

resultsAntibody binding was observed against the full length and external domains of tetraspanin 7, and was strongest against the full length protein. Autoantibodies that could be inhibited by untagged tetraspanin 7 were detected in 5 (1%) of 503 autoantibody negative relatives, 3 (3.2%) of 94 autoantibody negative patients, 95 (35.3%) of 269 autoantibody positive patients, 1 (1%) of 98 single autoantibody positive relatives and 25 (21.9%) of 114 multiple autoantibody positive relatives. Progression to diabetes did not differ between multiple autoantibody positive relatives with and without tetraspanin 7 autoantibodies. CONCLUSIONS/

interpretationTetraspanin 7 is an autoantigen in type 1 diabetes. Tetraspanin 7 autoantibodies are a marker of type 1 diabetes, but provide minor additional value to existing autoantibodies in identifying beta cell autoimmunity.

Indexed as

AdolescentAutoantibodiesCation Transport ProteinsCell LineChildDiabetes Mellitus, Type 1FemaleGlutamate DecarboxylaseHumansImmunoprecipitationMaleNerve Tissue ProteinsPilot ProjectsReceptor-Like Protein Tyrosine Phosphatases, Class 8TetraspaninsZinc Transporter 8AutoantibodiesCation Transport ProteinsGlutamate DecarboxylaseNerve Tissue ProteinsPTPRN protein, humanReceptor-Like Protein Tyrosine Phosphatases, Class 8SLC30A8 protein, humanTetraspaninsTSPAN7 protein, humanZinc Transporter 8AutoantibodiesGlima 38Tetraspanin 7Type 1 diabetes mellitus

Identifiers

PMID27221092
OpenAlexW2407782134

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.