Evidence map›Paper›PMID 29196783›Full record

ArticleDiabetologia2018

Combinatorial detection of autoreactive CD8

Eddie A James, Joana R F Abreu, John W McGinty, Jared M Odegard, Yvonne E Fillié, Claire N Hocter, Slobodan Culina, Kristin Ladell, David A Price, Aimon Alkanani and 10 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. The immunology of type 1 diabetes.Nature reviews. Immunology · 2024
    Review
  5. Review
  6. Article
  7. Review
  8. Preclinical evaluation of a precision medicine approach to DNA vaccination in type 1 diabetes.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Frontiers in endocrinology · 2022
    Review
  10. Human islet T cells are highly reactive to preproinsulin in type 1 diabetes.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
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

20 authors.

Eddie A JamesBenaroya Research Institute, 1201 9th Ave, Seattle, WA, 98101, USA. ejames@benaroyaresearch.org.
Joana R F AbreuDepartment of Immunohaematology and Blood Transfusion, Leiden University Medical Centre, Leiden, the Netherlands.
John W McGintyBenaroya Research Institute, 1201 9th Ave, Seattle, WA, 98101, USA.
Jared M OdegardBenaroya Research Institute, 1201 9th Ave, Seattle, WA, 98101, USA.
Yvonne E FilliéDepartment of Immunohaematology and Blood Transfusion, Leiden University Medical Centre, Leiden, the Netherlands.
Claire N HocterDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Slobodan CulinaINSERM, U1016, Cochin Institute, Paris, France.
Kristin LadellDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
David A PriceDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Aimon AlkananiBarbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USA.
Marynette RihanekBarbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USA.
Lisa Fitzgerald-MillerBarbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USA.
Ania SkoweraAdaptImmune Ltd, Didcot, UK.
Cate SpeakeBenaroya Research Institute, 1201 9th Ave, Seattle, WA, 98101, USA.
Peter GottliebBarbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USA.
Howard W DavidsonBarbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, CO, USA.
F Susan WongDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Bart RoepDepartment of Diabetes Immunology, City of Hope, Duarte, CA, USA.
Roberto MalloneINSERM, U1016, Cochin Institute, Paris, France.
Immunology of Diabetes Society T Cell Workshop Committee

Funding

Juvenile Diabetes Research Foundation 17-2012-559Wellcome Trust Senior Investigator Award 100326/Z/12/Z
6 · The paper itself

Abstract

aims/hypothesisValidated biomarkers are needed to monitor the effects of immune intervention in individuals with type 1 diabetes. Despite their importance, few options exist for monitoring antigen-specific T cells. Previous reports described a combinatorial approach that enables the simultaneous detection and quantification of multiple islet-specific CD8

methodsThe combinatorial HLA-A2 multimer assay was applied in five participating centres using centralised reagents and blinded replicate samples. In preliminary experiments, samples from healthy donors were analysed using recall antigen multimers. In subsequent experiments, samples from healthy donors and individuals with type 1 diabetes were analysed using beta cell antigen and recall antigen multimers.

resultsThe combinatorial assay was successfully implemented in each participating centre, with CVs between replicate samples that indicated good reproducibility for viral epitopes (mean %CV = 33.8). For beta cell epitopes, the assay was very effective in a single-centre setting (mean %CV = 18.4), but showed sixfold greater variability across multi-centre replicates (mean %CV = 119). In general, beta cell antigen-specific CD8 CONCLUSIONS/

interpretationOur results suggest that, although combinatorial multimer assays are challenging, they can be implemented in multiple laboratories, providing relevant T cell frequency measurements. Assay reproducibility was notably higher in the single-centre setting, suggesting that biomarker analysis of clinical trial samples would be most successful when assays are performed in a single laboratory. Technical improvements, including further standardisation of cytometry platforms, will likely be necessary to reduce assay variability in the multi-centre setting.

Indexed as

AdultBiomarkersCD8-Positive T-LymphocytesDiabetes Mellitus, Type 1FemaleHLA-A2 AntigenHumansInsulinInsulin-Secreting CellsMaleYoung AdultBiomarkersHLA-A2 AntigenInsulinAssay methodsBasic scienceBiomarkerCD8+ T cellClinical immunologyDiabetesHLA multimerHumanMulti-centre

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Registered trials

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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.