Evidence map›Paper›PMID 38232306›Full record

ArticleDiabetes2024

Improved Specificity of Glutamate Decarboxylase 65 Autoantibody Measurement Using Luciferase-Based Immunoprecipitation System Assays.

Rebecca C Wyatt, Sian L Grace, Cristina Brigatti, Ilaria Marzinotto, Ben T Gillard, Deborah K Shoemark, Kyla Chandler, Peter Achenbach, Lorenzo Piemonti, Anna E Long and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes, 2024. 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
5.0field-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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Observational
  10. Article
  11. 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

14 authors at 3 institutions in 3 countries.

Rebecca C WyattDiabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K.
Sian L GraceDiabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K.ORCID 0000-0001-6925-9780
Cristina BrigattiSan Raffaele Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Ilaria MarzinottoSan Raffaele Diabetes Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Ben T GillardDiabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K.
Deborah K ShoemarkSchool of Biochemistry, University of Bristol, Bristol, U.K.
Kyla ChandlerDiabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K.
Peter AchenbachInstitute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany.
Lorenzo PiemontiDivision of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-2172-2198
Anna E LongDiabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K.ORCID 0000-0002-6847-2771
Kathleen M GillespieDiabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K.ORCID 0000-0002-3009-8032
Vito LampasonaDivision of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alistair J K WilliamsDiabetes and Metabolism Unit, Translational Health Sciences, University of Bristol, Bristol, U.K.
BOX Study Group
University of Bristol · GBVita-Salute San Raffaele University · ITTUM Klinikum · DE

Funding

Diabetes UK 14/0004472
6 · The paper itself

Abstract

Autoantibodies to glutamate decarboxylase (GADA) are widely used in the prediction and classification of type 1 diabetes. GADA radiobinding assays (RBAs) using N-terminally truncated antigens offer improved specificity, but radioisotopes limit the high-throughput potential for population screening. Luciferase-based immunoprecipitation system (LIPS) assays are sensitive and specific alternatives to RBAs with the potential to improve risk stratification. The performance of assays using the Nanoluc luciferase (Nluc)-conjugated GAD65 constructs, Nluc-GAD65(96-585) and full length Nluc-GAD65(1-585), were evaluated in 434 well-characterized serum samples from patients with recent-onset type 1 diabetes and first-degree relatives. Nonradioactive, high-throughput LIPS assays are quicker and require less serum than RBAs. Of 171 relatives previously tested single autoantibody positive for autoantibodies to full-length GAD65 by RBA but had not progressed to diabetes, fewer retested positive by LIPS using either truncated (n = 72) or full-length (n = 111) antigen. The Nluc-GAD65(96-585) truncation demonstrated the highest specificity in LIPS assays overall, but in contrast to RBA, N-terminus truncations did not result in a significant increase in disease-specificity compared with the full-length antigen. This suggests that binding of nonspecific antibodies is affected by the conformational changes resulting from addition of the Nluc antigen. Nluc-GAD65(96-585) LIPS assays offer low-blood-volume, high-specificity GADA tests for screening and diagnostics. ARTICLE HIGHLIGHTS:

Indexed as

Diabetes Mellitus, Type 1AutoantibodiesGlutamate DecarboxylaseHumansImmunoprecipitationLuciferasesSensitivity and SpecificityAutoantibodiesGlutamate DecarboxylaseLuciferases

Identifiers

PMID38232306
PMCPMC10958581
OpenAlexW4390935626

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.