Evidence map›Paper›PMID 31815738›Full record

ArticleThe Journal of clinical investigation2020

Autoreactive CD8+ T cell exhaustion distinguishes subjects with slow type 1 diabetes progression.

Alice E Wiedeman, Virginia S Muir, Mario G Rosasco, Hannah A DeBerg, Scott Presnell, Bertrand Haas, Matthew J Dufort, Cate Speake, Carla J Greenbaum, Elisavet Serti and 6 more

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in The Journal of clinical investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 1 pooled it
14.0field-weighted citation impact, top 1% 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

118 citing papers in PubMed, 1 synthesis or guideline pooled it, 156 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Type I Interferon-Driven Monocyte Dysregulation and MAS-associated CD8bioRxiv : the preprint server for biology · 2026
    Article
  13. New and emerging therapies in type 1 diabetes mellitus.The Journal of clinical investigation · 2026
    Review
  14. Aberrant immune regulation and enrichment of stem-like CD8bioRxiv : the preprint server for biology · 2026
    Article
  15. Antigen-specific immunotherapy with a CD4Nature communications · 2026
    Article
  16. Article
  17. Article
  18. Review
  19. Regulators of CD8Nature reviews. Immunology · 2026
    Review
  20. Article

58 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 3 institutions in 2 countries.

Alice E WiedemanTranslational Research Program.
Virginia S MuirSystems Immunology, and.
Mario G RosascoSystems Immunology, and.
Hannah A DeBergSystems Immunology, and.
Scott PresnellSystems Immunology, and.
Bertrand HaasSystems Immunology, and.
Matthew J DufortSystems Immunology, and.
Cate SpeakeDiabetes Program, Benaroya Research Institute (BRI) at Virginia Mason, Seattle, Washington, USA.
Carla J GreenbaumDiabetes Program, Benaroya Research Institute (BRI) at Virginia Mason, Seattle, Washington, USA.
Elisavet SertiImmune Tolerance Network (ITN), Bethesda, Maryland, USA.
Gerald T NepomTranslational Research Program.
Gabriele BlahnikTranslational Research Program.
Anna M KusTranslational Research Program.
Eddie A JamesTranslational Research Program.
Peter S LinsleySystems Immunology, and.
S Alice LongTranslational Research Program.
Translational Research Institute · AUVirginia Mason Medical Center · USImmune Tolerance Network · US

Funding

Immune Tolerance Network UM1 2023 SupplementUM1AI109565 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI Mark S Anderson, Jane Hoyt Buckner · 2014 to 2026
$451.6M
NIAID NIH HHS UM1 AI109565
6 · The paper itself

Abstract

Although most patients with type 1 diabetes (T1D) retain some functional insulin-producing islet β cells at the time of diagnosis, the rate of further β cell loss varies across individuals. It is not clear what drives this differential progression rate. CD8+ T cells have been implicated in the autoimmune destruction of β cells. Here, we addressed whether the phenotype and function of autoreactive CD8+ T cells influence disease progression. We identified islet-specific CD8+ T cells using high-content, single-cell mass cytometry in combination with peptide-loaded MHC tetramer staining. We applied a new analytical method, DISCOV-R, to characterize these rare subsets. Autoreactive T cells were phenotypically heterogeneous, and their phenotype differed by rate of disease progression. Activated islet-specific CD8+ memory T cells were prevalent in subjects with T1D who experienced rapid loss of C-peptide; in contrast, slow disease progression was associated with an exhaustion-like profile, with expression of multiple inhibitory receptors, limited cytokine production, and reduced proliferative capacity. This relationship between properties of autoreactive CD8+ T cells and the rate of T1D disease progression after onset make these phenotypes attractive putative biomarkers of disease trajectory and treatment response and reveal potential targets for therapeutic intervention.

Indexed as

AutoimmunityImmunologic MemoryLymphocyte ActivationAdolescentAdultCD8-Positive T-LymphocytesChildChild, PreschoolDiabetes Mellitus, Type 1FemaleHumansInfantIslets of LangerhansMaleMiddle AgedAutoimmune diseasesAutoimmunityDiabetesImmunologyT cells

Identifiers

PMID31815738
PMCPMC6934185
OpenAlexW2993390900

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.