Cited by 113Diabetes and associated disordersT-cell and B-cell ImmunologyPancreatic function and diabetes

Identification of tetraspanin-7 as a target of autoantibodies in type 1 diabetes

Open access
McLaughlin, Kerry A., Richardson, Carolyn C., Ravishankar, Aarthi, Brigatti, Cristina, Liberati, Daniela, Lampasona, Vito, Piemonti, Lorenzo, Morgan, Diana +2 more·2016·Diabetes

Abstract

The presence of autoantibodies to multiple-islet autoantigens confers high risk for the development of type 1 diabetes. Four major autoantigens are established (insulin, glutamate decarboxylase, IA2, and zinc transporter-8), but the molecular identity of a fifth, a 38-kDa membrane glycoprotein (Glima), is unknown. Glima antibodies have been detectable only by immunoprecipitation from extracts of radiolabeled islet or neuronal cells. We sought to identify Glima to enable efficient assay of these autoantibodies. Mouse brain and lung were shown to express Glima. Membrane glycoproteins from extracts of these organs were enriched by detergent phase separation, lectin affinity chromatography, and SDS-PAGE. Proteins were also immunoaffinity purified from brain extracts using autoantibodies from the sera of patients with diabetes before SDS-PAGE. Eluates from gel regions equivalent to 38 kDa were analyzed by liquid chromatography–tandem mass spectrometry for protein identification. Three proteins were detected in samples from the brain and lung extracts, and in the immunoaffinity-purified sample, but not in the negative control. Only tetraspanin-7, a multipass transmembrane glycoprotein with neuroendocrine expression, had physical characteristics expected of Glima. Tetraspanin-7 was confirmed as an autoantigen by demonstrating binding to autoantibodies in type 1 diabetes. We identify tetraspanin-7 as a target of autoimmunity in diabetes, allowing its exploitation for diabetes prediction and immunotherapy.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2337/db15-1058

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Over 90% of people with newly diagnosed type 1 diabetes have measurable antibodies against specific β-cell proteins, including insulin, glutamate decarboxylase, islet antigen 2, zinc transporter 8, and tetraspanin-7.

    “Over 90% of people with newly diagnosed type 1 diabetes have measurable antibodies against specific β-cell proteins, including insulin, glutamate decarboxylase, islet antigen 2, zinc transporter 8, and tetraspanin-7.14”

    From Type 1 diabetes (2018) · cites this paper as [14]

    The introduction (Takedown, p. 4) identifies insulin, glutamate decarboxylase, IA-2, and zinc transporter 8 as major autoantigens; the paper also confirms tetraspanin-7 as an autoantibody target (Takedown, p. 2). It does not establish that over 90% of newly diagnosed people have measurable antibodies to these proteins. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
McLaughlin, K. A., Richardson, C. C., Ravishankar, A., Brigatti, C., Liberati, D., Lampasona, V., Piemonti, L., Morgan, D., Feltbower, R. G., & Christie, M. R.
Affiliations
  • King's College London (GB)
  • IRCCS Ospedale San Raffaele (IT)
  • University of Leeds (GB)
Corresponding author
Christie, Michael R.
Venue
Diabetes
Published
2016-03-07
Volume
65
Issue
6
Pages
1690-1698
ISSN
  • 0012-1797 (ISSN-L)
  • 1939-327X
OpenAlex
W2293565227
Cited by
113
References
31
Citations by year
2026: 6 · 2025: 4 · 2024: 10 · 2023: 16 · 2022: 16 · 2021: 7 · 2020: 13 · 2019: 14 · 2018: 13 · 2017: 7 · 2016: 7
FWCI
11.04
Type
journal article
Language
en
Open access
Locations
  • Diabetes (publishedVersion)
  • PubMed (publishedVersion)
  • Lincoln Repository (University of Lincoln) (acceptedVersion)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
  • Figshare (submittedVersion, cc-by)
  • Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
  • Research Portal (King's College London) (submittedVersion)
  • VUBIR (Vrije Universiteit Brussel) (submittedVersion)
Funders
  • Diabetes UK (11/0004297)
  • Society for Endocrinology (Early Career Award)
  • Italian Ministry of Research
  • King’s College London Graduate School
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
  • Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
Keywords
type 1 diabetes, autoantibodies, autoantigens, islet autoimmunity, autoantigen identification, immunoaffinity purification, transmembrane glycoprotein, diabetes prediction
MeSH terms
Adolescent, Adult, Animals, Autoantibodies, Autoantigens, Brain, Diabetes Mellitus, Type 1, Humans, Lung, Membrane Glycoproteins, Middle Aged, Mice, Tetraspanins

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review