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

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 m...

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Autores principales: De Burghgrave, Marine, Lourenço, Chloé, Berthault, Claire, Aiello, Virginie, Villalba, Adrian, Fouque, Alexis, Diedisheim, Marc, You, Sylvaine, Oshima, Masaya, Scharfmann, Raphaël
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818682/
https://www.ncbi.nlm.nih.gov/pubmed/36611907
http://dx.doi.org/10.3390/cells12010113
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author De Burghgrave, Marine
Lourenço, Chloé
Berthault, Claire
Aiello, Virginie
Villalba, Adrian
Fouque, Alexis
Diedisheim, Marc
You, Sylvaine
Oshima, Masaya
Scharfmann, Raphaël
author_facet De Burghgrave, Marine
Lourenço, Chloé
Berthault, Claire
Aiello, Virginie
Villalba, Adrian
Fouque, Alexis
Diedisheim, Marc
You, Sylvaine
Oshima, Masaya
Scharfmann, Raphaël
author_sort De Burghgrave, Marine
collection PubMed
description 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.
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spelling pubmed-98186822023-01-07 Pancreatic Islet Cells Response to IFNγ Relies on Their Spatial Location within an Islet De Burghgrave, Marine Lourenço, Chloé Berthault, Claire Aiello, Virginie Villalba, Adrian Fouque, Alexis Diedisheim, Marc You, Sylvaine Oshima, Masaya Scharfmann, Raphaël Cells Article 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. MDPI 2022-12-28 /pmc/articles/PMC9818682/ /pubmed/36611907 http://dx.doi.org/10.3390/cells12010113 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
De Burghgrave, Marine
Lourenço, Chloé
Berthault, Claire
Aiello, Virginie
Villalba, Adrian
Fouque, Alexis
Diedisheim, Marc
You, Sylvaine
Oshima, Masaya
Scharfmann, Raphaël
Pancreatic Islet Cells Response to IFNγ Relies on Their Spatial Location within an Islet
title Pancreatic Islet Cells Response to IFNγ Relies on Their Spatial Location within an Islet
title_full Pancreatic Islet Cells Response to IFNγ Relies on Their Spatial Location within an Islet
title_fullStr Pancreatic Islet Cells Response to IFNγ Relies on Their Spatial Location within an Islet
title_full_unstemmed Pancreatic Islet Cells Response to IFNγ Relies on Their Spatial Location within an Islet
title_short Pancreatic Islet Cells Response to IFNγ Relies on Their Spatial Location within an Islet
title_sort pancreatic islet cells response to ifnγ relies on their spatial location within an islet
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818682/
https://www.ncbi.nlm.nih.gov/pubmed/36611907
http://dx.doi.org/10.3390/cells12010113
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