Evidence map›Paper›PMID 36611907›Full record

ArticleCells2022

Pancreatic Islet Cells Response to IFNγ Relies on Their Spatial Location within an Islet.

Marine De Burghgrave, Chloé Lourenço, Claire Berthault, Virginie Aiello, Adrian Villalba, Alexis Fouque, Marc Diedisheim, Sylvaine You, Masaya Oshima, Raphaël Scharfmann

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  4. Review
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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 1 country.

Marine De BurghgraveUniversité Paris Cité, Institut Cochin, INSERM U1016, CNRS UMR 8104, 75014 Paris, France.
Chloé LourençoUniversité Paris Cité, Institut Cochin, INSERM U1016, CNRS UMR 8104, 75014 Paris, France.
Claire BerthaultUniversité Paris Cité, Institut Cochin, INSERM U1016, CNRS UMR 8104, 75014 Paris, France.
Virginie AielloUniversité Paris Cité, Institut Cochin, INSERM U1016, CNRS UMR 8104, 75014 Paris, France.
Adrian VillalbaUniversité Paris Cité, Institut Cochin, INSERM U1016, CNRS UMR 8104, 75014 Paris, France.ORCID 0000-0003-3148-5453
Alexis FouqueUniversité Paris Cité, Institut Cochin, INSERM U1016, CNRS UMR 8104, 75014 Paris, France.
Marc DiedisheimGlandOmics, 41700 Cheverny, France.
Sylvaine YouUniversité Paris Cité, Institut Cochin, INSERM U1016, CNRS UMR 8104, 75014 Paris, France.
Masaya OshimaUniversité Paris Cité, Institut Cochin, INSERM U1016, CNRS UMR 8104, 75014 Paris, France.
Raphaël ScharfmannUniversité Paris Cité, Institut Cochin, INSERM U1016, CNRS UMR 8104, 75014 Paris, France.ORCID 0000-0001-7619-337X
Centre National de la Recherche Scientifique · FRHôpital Cochin · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes (T1D) is an auto-immune disease characterized by the progressive destruction of insulin-producing pancreatic beta cells. While beta cells are the target of the immune attack, the other islet endocrine cells, namely the alpha and delta cells, can also be affected by the inflammatory milieu. Here, using a flow cytometry-based strategy, we compared the impact of IFNγ, one of the main cytokines involved in T1D, on the three endocrine cell subsets isolated from C57BL/6 mouse islets. RNA-seq analyses revealed that alpha and delta cells exposed in vitro to IFNγ display a transcriptomic profile very similar to that of beta cells, with an increased expression of inflammation key genes such as MHC class I molecules, the CXCL10 chemokine and the programmed death-ligand 1 (PD-L1), three hallmarks of IFNγ signaling. Interestingly, at low IFNγ concentration, we observed two beta cell populations (responders and non-responders) based on PD-L1 protein expression. Our data indicate that this differential sensitivity relies on the location of the cells within the islet rather than on the existence of two different beta cells subsets. The same findings were corroborated by the in vivo analysis of pancreatic islets from the non-obese diabetic mouse model of T1D, showing more intense PD-L1 staining on endocrine cells close to immune infiltrate. Collectively, our work demonstrates that alpha and delta cells are as sensitive as beta cells to IFNγ, and suggests a gradual diffusion of the cytokine into an islet. These observations provide novel insights into the in situ inflammatory processes occurring in T1D progression.

Indexed as

Diabetes Mellitus, Type 1Insulin-Secreting CellsIslets of LangerhansAnimalsB7-H1 AntigenCytokinesInterferon-gammaMiceMice, Inbred C57BLB7-H1 AntigenCytokinesInterferon-gammabeta cells heterogeneityendocrine populationIFNγinflammationLangerhans isletspancreatic beta cellstype 1 diabetes

Identifiers

PMID36611907
PMCPMC9818682
OpenAlexW4313415318

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.