Evidence map›Paper›PMID 33854508›Full record

ReviewFrontiers in immunology2021

Making Insulin and Staying Out of Autoimmune Trouble: The Beta-Cell Conundrum.

Alexia Carré, Roberto Mallone

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  11. Review
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  14. Frontiers in endocrinology · 2022
    Review
  15. Article
  16. Review
  17. β-Cell autophagy in the pathogenesis of type 1 diabetes.American journal of physiology. Endocrinology and metabolism · 2021
    Review
  18. Review
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

2 authors at 2 institutions in 1 country.

Alexia CarréUniversité de Paris, Institut Cochin, CNRS, INSERM, Paris, France.
Roberto MalloneUniversité de Paris, Institut Cochin, CNRS, INSERM, Paris, France.
Centre National de la Recherche Scientifique · FRHôpital Cochin · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune type 1 diabetes (T1D) results from the intricate crosstalk of various immune cell types. CD8+ T cells dominate the pro-inflammatory milieu of islet infiltration (insulitis), and are considered as key effectors of beta-cell destruction, through the recognition of MHC Class I-peptide complexes. The pathways generating MHC Class I-restricted antigens in beta cells are poorly documented. Given their specialized insulin secretory function, the associated granule processing and degradation pathways, basal endoplasmic reticulum stress and susceptibility to additional stressors, alternative antigen processing and presentation (APP) pathways are likely to play a significant role in the generation of the beta-cell immunopeptidome. As direct evidence is missing, we here intersect the specificities of beta-cell function and the literature about APP in other cellular models to generate some hypotheses on APPs relevant to beta cells. We further elaborate on the potential role of these pathways in T1D pathogenesis, based on the current knowledge of antigens presented by beta cells. A better understanding of these pathways may pinpoint novel mechanisms amenable to therapeutic targeting to modulate the immunogenicity of beta cells.

Indexed as

AnimalsAntigen PresentationAutoimmunityDiabetes Mellitus, Type 1HumansInsulinInsulin-Secreting CellsInsulinantigen presentationantigen processingautophagycrinophagyinsulin granuleMHC class Ineo-epitopessignal peptide

Identifiers

PMID33854508
PMCPMC8039383
OpenAlexW3147324754

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.