Evidence map›Paper›PMID 30089176›Full record

ArticlePloS one2018

Heterogeneity of circulating CD8 T-cells specific to islet, neo-antigen and virus in patients with type 1 diabetes mellitus.

Sandra Laban, Jessica S Suwandi, Vincent van Unen, Jos Pool, Joris Wesselius, Thomas Höllt, Nicola Pezzotti, Anna Vilanova, Boudewijn P F Lelieveldt, Bart O Roep

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. 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
3.4field-weighted citation impact, top 7% 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, 31 citations in OpenAlex.

  1. Article
  2. Aberrant immune regulation and enrichment of stem-like CD8bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Frontiers in endocrinology · 2022
    Review
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  11. Review
  12. Article
  13. Review
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  15. Review
  16. Article
  17. Article
  18. 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

10 authors at 2 institutions in 2 countries.

Sandra LabanDepartment of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, the Netherlands.
Jessica S SuwandiDepartment of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0002-4241-9673
Vincent van UnenDepartment of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0001-9339-8430
Jos PoolDepartment of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, the Netherlands.
Joris WesseliusDepartment of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, the Netherlands.
Thomas HölltComputational Biology Center, Leiden University Medical Center, Leiden, the Netherlands.
Nicola PezzottiComputer Graphics and Visualization, Delft University of Technology, Delft, the Netherlands.
Anna VilanovaComputer Graphics and Visualization, Delft University of Technology, Delft, the Netherlands.
Boudewijn P F LelieveldtDepartment of LKEB Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Bart O RoepDepartment of Immunohematology and Blood Transfusion, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0002-3110-7391
Leiden University Medical Center · NLDelft University of Technology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Auto-reactive CD8 T-cells play an important role in the destruction of pancreatic β-cells resulting in type 1 diabetes (T1D). However, the phenotype of these auto-reactive cytolytic CD8 T-cells has not yet been extensively described. We used high-dimensional mass cytometry to phenotype autoantigen- (pre-proinsulin), neoantigen- (insulin-DRIP) and virus- (cytomegalovirus) reactive CD8 T-cells in peripheral blood mononuclear cells (PBMCs) of T1D patients. A panel of 33 monoclonal antibodies was designed to further characterise these cells at the single-cell level. HLA-A2 class I tetramers were used for the detection of antigen-specific CD8 T-cells. Using a novel Hierarchical Stochastic Neighbor Embedding (HSNE) tool (implemented in Cytosplore), we identified 42 clusters within the CD8 T-cell compartment of three T1D patients and revealed profound heterogeneity between individuals, as each patient displayed a distinct cluster distribution. Single-cell analysis of pre-proinsulin, insulin-DRIP and cytomegalovirus-specific CD8 T-cells showed that the detected specificities were heterogeneous between and within patients. These findings emphasize the challenge to define the obscure nature of auto-reactive CD8 T-cells.

Indexed as

AdultAutoantigensBiomarkersCD8-Positive T-LymphocytesDiabetes Mellitus, Type 1FemaleHLA-A2 AntigenHumansInsulin-Secreting CellsLeukocytes, MononuclearMalePhenotypeSingle-Cell AnalysisAutoantigensBiomarkersHLA-A2 Antigen

Identifiers

PMID30089176
PMCPMC6082515
OpenAlexW2885150838

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.