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The inflammatory cell landscape in the lungs of patients with idiopathic pulmonary arterial hypertension

Increasing evidence points towards an inflammatory component underlying pulmonary hypertension. However, the conclusive characterisation of multiple inflammatory cell populations in the lung is challenging due to the complexity of marker specificity and tissue inaccessibility. We used an unbiased co...

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Autores principales: Marsh, Leigh M., Jandl, Katharina, Grünig, Gabriele, Foris, Vasile, Bashir, Mina, Ghanim, Bahil, Klepetko, Walter, Olschewski, Horst, Olschewski, Andrea, Kwapiszewska, Grazyna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383570/
https://www.ncbi.nlm.nih.gov/pubmed/29371380
http://dx.doi.org/10.1183/13993003.01214-2017
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author Marsh, Leigh M.
Jandl, Katharina
Grünig, Gabriele
Foris, Vasile
Bashir, Mina
Ghanim, Bahil
Klepetko, Walter
Olschewski, Horst
Olschewski, Andrea
Kwapiszewska, Grazyna
author_facet Marsh, Leigh M.
Jandl, Katharina
Grünig, Gabriele
Foris, Vasile
Bashir, Mina
Ghanim, Bahil
Klepetko, Walter
Olschewski, Horst
Olschewski, Andrea
Kwapiszewska, Grazyna
author_sort Marsh, Leigh M.
collection PubMed
description Increasing evidence points towards an inflammatory component underlying pulmonary hypertension. However, the conclusive characterisation of multiple inflammatory cell populations in the lung is challenging due to the complexity of marker specificity and tissue inaccessibility. We used an unbiased computational flow cytometry approach to delineate the inflammatory landscape of idiopathic pulmonary arterial hypertension (IPAH) and healthy donor lungs. Donor and IPAH samples were discriminated clearly using principal component analysis to reduce the multidimensional data obtained from single-cell flow cytometry analysis. In IPAH lungs, the predominant CD45(+) cell type switched from neutrophils to CD3(+) T-cells, with increases in CD4(+), CD8(+) and γδT-cell subsets. Additionally, diversely activated classical myeloid-derived dendritic cells (CD14(−)HLA-DR(+)CD11c(+)CD1a(+/−)) and nonclassical plasmacytoid dendritic cells (pDCs; CD14(−)CD11c(−)CD123(+)HLA-DR(+)), together with mast cells and basophils, were more abundant in IPAH samples. We describe, for the first time, the presence and regulation of two cell types in IPAH, γδT-cells and pDCs, which link innate and adaptive immunity. With our high-throughput flow cytometry with multidimensional dataset analysis, we have revealed the interactive interplay between multiple inflammatory cells is a crucial part of their integrative network. The identification of γδT-cells and pDCs in this disease potentially provides a missing link between IPAH, autoimmunity and inflammation.
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spelling pubmed-63835702019-02-25 The inflammatory cell landscape in the lungs of patients with idiopathic pulmonary arterial hypertension Marsh, Leigh M. Jandl, Katharina Grünig, Gabriele Foris, Vasile Bashir, Mina Ghanim, Bahil Klepetko, Walter Olschewski, Horst Olschewski, Andrea Kwapiszewska, Grazyna Eur Respir J Original Articles Increasing evidence points towards an inflammatory component underlying pulmonary hypertension. However, the conclusive characterisation of multiple inflammatory cell populations in the lung is challenging due to the complexity of marker specificity and tissue inaccessibility. We used an unbiased computational flow cytometry approach to delineate the inflammatory landscape of idiopathic pulmonary arterial hypertension (IPAH) and healthy donor lungs. Donor and IPAH samples were discriminated clearly using principal component analysis to reduce the multidimensional data obtained from single-cell flow cytometry analysis. In IPAH lungs, the predominant CD45(+) cell type switched from neutrophils to CD3(+) T-cells, with increases in CD4(+), CD8(+) and γδT-cell subsets. Additionally, diversely activated classical myeloid-derived dendritic cells (CD14(−)HLA-DR(+)CD11c(+)CD1a(+/−)) and nonclassical plasmacytoid dendritic cells (pDCs; CD14(−)CD11c(−)CD123(+)HLA-DR(+)), together with mast cells and basophils, were more abundant in IPAH samples. We describe, for the first time, the presence and regulation of two cell types in IPAH, γδT-cells and pDCs, which link innate and adaptive immunity. With our high-throughput flow cytometry with multidimensional dataset analysis, we have revealed the interactive interplay between multiple inflammatory cells is a crucial part of their integrative network. The identification of γδT-cells and pDCs in this disease potentially provides a missing link between IPAH, autoimmunity and inflammation. European Respiratory Society 2018-01-25 /pmc/articles/PMC6383570/ /pubmed/29371380 http://dx.doi.org/10.1183/13993003.01214-2017 Text en Copyright ©ERS 2018 http://creativecommons.org/licenses/by-nc/4.0/ This article is open access and distributed under the terms of the Creative Commons Attribution Licence 4.0.
spellingShingle Original Articles
Marsh, Leigh M.
Jandl, Katharina
Grünig, Gabriele
Foris, Vasile
Bashir, Mina
Ghanim, Bahil
Klepetko, Walter
Olschewski, Horst
Olschewski, Andrea
Kwapiszewska, Grazyna
The inflammatory cell landscape in the lungs of patients with idiopathic pulmonary arterial hypertension
title The inflammatory cell landscape in the lungs of patients with idiopathic pulmonary arterial hypertension
title_full The inflammatory cell landscape in the lungs of patients with idiopathic pulmonary arterial hypertension
title_fullStr The inflammatory cell landscape in the lungs of patients with idiopathic pulmonary arterial hypertension
title_full_unstemmed The inflammatory cell landscape in the lungs of patients with idiopathic pulmonary arterial hypertension
title_short The inflammatory cell landscape in the lungs of patients with idiopathic pulmonary arterial hypertension
title_sort inflammatory cell landscape in the lungs of patients with idiopathic pulmonary arterial hypertension
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383570/
https://www.ncbi.nlm.nih.gov/pubmed/29371380
http://dx.doi.org/10.1183/13993003.01214-2017
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