The University of Southampton
University of Southampton Institutional Repository

Association of differential mast cell activation with granulocytic inflammation in severe asthma

Association of differential mast cell activation with granulocytic inflammation in severe asthma
Association of differential mast cell activation with granulocytic inflammation in severe asthma

Rationale: mast cells (MCs) play a role in inflammation and both innate and adaptive immunity, but their involvement in severe asthma (SA) remains undefined. 

Objectives: we investigated the phenotypic characteristics of the U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Diseases Outcomes) asthma cohort by applying published MC activation signatures to the sputum cell transcriptome. 

Methods: eighty-four participants with SA, 20 with mild/moderate asthma (MMA), and 16 healthy participants without asthma were studied. We calculated enrichment scores (ESs) for nine MC activation signatures by asthma severity, sputum granulocyte status, and three previously defined sputum molecular phenotypes or transcriptome-associated clusters (TACs) 1, 2, and 3 using gene set variation analysis. 

Measurements and Main Results: MC signatures except unstimulated, repeated FceR1-stimulated and IFN-g–stimulated signatures were enriched in SA. A FceR1-IgE–stimulated and a single-cell signature from asthmatic bronchial biopsies were highly enriched in eosinophilic asthma and in the TAC1 molecular phenotype. Subjects with a high ES for these signatures had elevated sputum amounts of similar genes and pathways. IL-33– and LPS-stimulated MC signatures had greater ES in neutrophilic and mixed granulocytic asthma and in the TAC2 molecular phenotype. These subjects exhibited neutrophil, NF-kB (nuclear factor-kB), and IL-1b/TNF-a (tumor necrosis factor-a) pathway activation. The IFN-g–stimulated signature had the greatest ES in TAC2 and TAC3 that was associated with responses to viral infection. Similar results were obtained in an independent ADEPT (Airway Disease Endotyping for Personalized Therapeutics) asthma cohort. 

Conclusions: gene signatures of MC activation allow the detection of SA phenotypes and indicate that MCs can be induced to take on distinct transcriptional phenotypes associated with specific clinical phenotypes. IL-33–stimulated MC signature was associated with severe neutrophilic asthma, whereas IgE-activated MC was associated with an eosinophilic phenotype.

Eosinophils, IgE-FceRI, IL-33, Mast cell, Neutrophils
1073-449X
397-411
Tiotiu, Angelica
f7a6bdf4-be8c-4365-9198-2e8129381c61
Badi, Yusef
ffa23473-d94f-42c6-bf61-32695060ab15
Kermani, Nazanin Zounemat
9a0b9356-2e0d-42b2-9ebc-8817e71cfcab
Sanak, Marek
a4cb9b3b-a343-427a-877a-e00066604bb0
Kolmert, Johan
031a7e44-0f44-45b0-a2ed-0d095d20f449
Wheelock, Craig E.
a22e130a-c8b7-4fdf-ad52-fc39635063bc
Hansbro, Philip M.
f764d36e-4b05-4edd-bcaf-08526d79de25
Dahlén, Sven Erik
9e18ae23-c6a1-413c-93fe-203949a4dcda
Sterk, Peter J.
cffc8681-7dc8-4328-ac93-4d5d5c4319b9
Djukanovic, Ratko
d9a45ee7-6a80-4d84-a0ed-10962660a98d
Guo, Yike
d6d31305-f913-4954-ba68-5c0ee7fc17be
Mumby, Sharon
5c1652ca-69ba-4ab7-9620-633eb0c6740e
Adcock, Ian M.
427153bc-3b8b-4066-aa4e-5bc41a6c36dd
Chung, Kian Fan
dc062fa0-b6c4-4b03-a0c2-917904e0ea2a
Hoda, Uruj
979a6de0-269b-4d8f-a1e9-58b42c81a774
Rossios, Christos
e9a1316d-e438-4ec1-bbab-90180c578bcc
Bel, Elisabeth
2129da95-9ea8-47db-985a-aef7348e3484
Rao, Navin
56e81284-a6fb-420a-92b1-370f10c46349
Myles, David
fadc730e-eb08-4577-8323-2f7a982c5a99
Compton, Chris
1b1cf370-ec91-4d01-893d-be9fac8d8c75
Van Geest, Marleen
419a034e-3039-4dc1-876f-0679c52901ab
Howarth, Peter
ff19c8c4-86b0-4a88-8f76-b3d87f142a21
Roberts, Graham
ea00db4e-84e7-4b39-8273-9b71dbd7e2f3
Lefaudeux, Diane
924a38e0-ace4-4344-a2a4-33e41df1805d
De Meulder, Bertrand
2eb16e68-bc1a-4e71-bc76-a6ebcb079cbd
Bansal, Aruna T.
35fbf858-fffc-474a-b176-28ed5a20b9c8
Knowles, Richard
7b0140d8-85dd-4032-9491-ff0c5befcbbe
Erzen, Damijn
ebe9271e-1385-407e-a210-3dbe025be8b6
Wagers, Scott
4210bc1c-ebd9-41a2-be31-b12bfa2b8c3c
Krug, Norbert
68944b71-ec40-4d74-9f8f-773ea8599b0a
Higenbottam, Tim
3c76114e-0efa-49d0-a2fd-1beea06dd948
Matthews, John
e0748ac4-76db-4607-9221-c9f07202345a
Erpenbeek, Veit
a1a1f72b-87e1-49a5-8ec8-0cc4f0dccbb5
Carayannopoulos, Leon
97f10749-47ba-424c-8fac-4d8dbbcc9107
Roberts, Amanda
c4a5d206-49c3-4a07-8cfd-5bccf8c93b3b
Supple, David
e4e586f5-db0f-44c0-b674-088c812d01fe
deBoer, Pim
e904ba5a-1d7f-498a-96e4-f7597d901306
Caruso, Massimo
d6a59da8-4f93-4926-93a6-e7c3b90b480f
Chanez, Pascal
695ba8e7-e6b7-49db-a88f-e5f5a366b869
Horváth, Ildikó
58e508ba-1b62-4ea5-a656-dda9498f90c7
Musial, Jacek
4cc2db1c-776b-4f5a-8ec9-f8362ef9a6b9
Sandström, Thomas
77a4c11d-a84f-4a52-9bfe-4ec83f62363a
U-BIOPRED Consortium Project Team
Tiotiu, Angelica
f7a6bdf4-be8c-4365-9198-2e8129381c61
Badi, Yusef
ffa23473-d94f-42c6-bf61-32695060ab15
Kermani, Nazanin Zounemat
9a0b9356-2e0d-42b2-9ebc-8817e71cfcab
Sanak, Marek
a4cb9b3b-a343-427a-877a-e00066604bb0
Kolmert, Johan
031a7e44-0f44-45b0-a2ed-0d095d20f449
Wheelock, Craig E.
a22e130a-c8b7-4fdf-ad52-fc39635063bc
Hansbro, Philip M.
f764d36e-4b05-4edd-bcaf-08526d79de25
Dahlén, Sven Erik
9e18ae23-c6a1-413c-93fe-203949a4dcda
Sterk, Peter J.
cffc8681-7dc8-4328-ac93-4d5d5c4319b9
Djukanovic, Ratko
d9a45ee7-6a80-4d84-a0ed-10962660a98d
Guo, Yike
d6d31305-f913-4954-ba68-5c0ee7fc17be
Mumby, Sharon
5c1652ca-69ba-4ab7-9620-633eb0c6740e
Adcock, Ian M.
427153bc-3b8b-4066-aa4e-5bc41a6c36dd
Chung, Kian Fan
dc062fa0-b6c4-4b03-a0c2-917904e0ea2a
Hoda, Uruj
979a6de0-269b-4d8f-a1e9-58b42c81a774
Rossios, Christos
e9a1316d-e438-4ec1-bbab-90180c578bcc
Bel, Elisabeth
2129da95-9ea8-47db-985a-aef7348e3484
Rao, Navin
56e81284-a6fb-420a-92b1-370f10c46349
Myles, David
fadc730e-eb08-4577-8323-2f7a982c5a99
Compton, Chris
1b1cf370-ec91-4d01-893d-be9fac8d8c75
Van Geest, Marleen
419a034e-3039-4dc1-876f-0679c52901ab
Howarth, Peter
ff19c8c4-86b0-4a88-8f76-b3d87f142a21
Roberts, Graham
ea00db4e-84e7-4b39-8273-9b71dbd7e2f3
Lefaudeux, Diane
924a38e0-ace4-4344-a2a4-33e41df1805d
De Meulder, Bertrand
2eb16e68-bc1a-4e71-bc76-a6ebcb079cbd
Bansal, Aruna T.
35fbf858-fffc-474a-b176-28ed5a20b9c8
Knowles, Richard
7b0140d8-85dd-4032-9491-ff0c5befcbbe
Erzen, Damijn
ebe9271e-1385-407e-a210-3dbe025be8b6
Wagers, Scott
4210bc1c-ebd9-41a2-be31-b12bfa2b8c3c
Krug, Norbert
68944b71-ec40-4d74-9f8f-773ea8599b0a
Higenbottam, Tim
3c76114e-0efa-49d0-a2fd-1beea06dd948
Matthews, John
e0748ac4-76db-4607-9221-c9f07202345a
Erpenbeek, Veit
a1a1f72b-87e1-49a5-8ec8-0cc4f0dccbb5
Carayannopoulos, Leon
97f10749-47ba-424c-8fac-4d8dbbcc9107
Roberts, Amanda
c4a5d206-49c3-4a07-8cfd-5bccf8c93b3b
Supple, David
e4e586f5-db0f-44c0-b674-088c812d01fe
deBoer, Pim
e904ba5a-1d7f-498a-96e4-f7597d901306
Caruso, Massimo
d6a59da8-4f93-4926-93a6-e7c3b90b480f
Chanez, Pascal
695ba8e7-e6b7-49db-a88f-e5f5a366b869
Horváth, Ildikó
58e508ba-1b62-4ea5-a656-dda9498f90c7
Musial, Jacek
4cc2db1c-776b-4f5a-8ec9-f8362ef9a6b9
Sandström, Thomas
77a4c11d-a84f-4a52-9bfe-4ec83f62363a

Tiotiu, Angelica, Badi, Yusef and Kermani, Nazanin Zounemat , U-BIOPRED Consortium Project Team (2022) Association of differential mast cell activation with granulocytic inflammation in severe asthma. American Journal of Respiratory and Critical Care Medicine, 205 (4), 397-411. (doi:10.1164/rccm.202102-0355OC).

Record type: Article

Abstract

Rationale: mast cells (MCs) play a role in inflammation and both innate and adaptive immunity, but their involvement in severe asthma (SA) remains undefined. 

Objectives: we investigated the phenotypic characteristics of the U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Diseases Outcomes) asthma cohort by applying published MC activation signatures to the sputum cell transcriptome. 

Methods: eighty-four participants with SA, 20 with mild/moderate asthma (MMA), and 16 healthy participants without asthma were studied. We calculated enrichment scores (ESs) for nine MC activation signatures by asthma severity, sputum granulocyte status, and three previously defined sputum molecular phenotypes or transcriptome-associated clusters (TACs) 1, 2, and 3 using gene set variation analysis. 

Measurements and Main Results: MC signatures except unstimulated, repeated FceR1-stimulated and IFN-g–stimulated signatures were enriched in SA. A FceR1-IgE–stimulated and a single-cell signature from asthmatic bronchial biopsies were highly enriched in eosinophilic asthma and in the TAC1 molecular phenotype. Subjects with a high ES for these signatures had elevated sputum amounts of similar genes and pathways. IL-33– and LPS-stimulated MC signatures had greater ES in neutrophilic and mixed granulocytic asthma and in the TAC2 molecular phenotype. These subjects exhibited neutrophil, NF-kB (nuclear factor-kB), and IL-1b/TNF-a (tumor necrosis factor-a) pathway activation. The IFN-g–stimulated signature had the greatest ES in TAC2 and TAC3 that was associated with responses to viral infection. Similar results were obtained in an independent ADEPT (Airway Disease Endotyping for Personalized Therapeutics) asthma cohort. 

Conclusions: gene signatures of MC activation allow the detection of SA phenotypes and indicate that MCs can be induced to take on distinct transcriptional phenotypes associated with specific clinical phenotypes. IL-33–stimulated MC signature was associated with severe neutrophilic asthma, whereas IgE-activated MC was associated with an eosinophilic phenotype.

This record has no associated files available for download.

More information

Accepted/In Press date: 22 November 2021
Published date: 15 February 2022
Additional Information: **I think this should have been published OA as it's funded by EPSRC, MRC & NIHR funded authors, including first and corresponding author from UCL** but it's not and cannot now be made compliant. Helen Carter 08/11/2022 Funding Information: *Co–first authors. ‡Co–senior authors. A complete list of U-BIOPRED Consortium Project Team members may be found before the beginning of the REFERENCES. Supported by the European Union’s Seventh Framework Programme (FP7/2007-2013) Innovative Medicines Initiative Joint Undertaking (grant 115010). U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Diseases Outcomes) was also supported by European Federation of Pharmaceutical Industries and Associations companies’ in-kind contribution (www.imi.europa.eu). K.F.C. and I.M.A. are funded by UK Research and Innovation. K.F.C. is an Emeritus Senior Investigator of the UK National Institute for Health Research. P.M.H. is funded by the National Health and Medical Research Council of Australia. C.E.W. is funded by the Swedish Heart Lung Foundation (grants HLF 20180290 and HLF 20200693). Funding Information: Supported by the European Union?s Seventh Framework Programme (FP7/2007-2013) Innovative Medicines Initiative Joint Undertaking (grant 115010). U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Diseases Outcomes) was also supported by European Federation of Pharmaceutical Industries and Associations companies? in-kind contribution (www.imi.europa.eu). K.F.C. and I.M.A. are funded by UK Research and Innovation. K.F.C. is an Emeritus Senior Investigator of the UK National Institute for Health Research. P.M.H. is funded by the National Health and Medical Research Council of Australia. C.E.W. is funded by the Swedish Heart Lung Foundation (grants HLF 20180290 and HLF 20200693). Publisher Copyright: Copyright © 2022 by the American Thoracic Society. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.
Keywords: Eosinophils, IgE-FceRI, IL-33, Mast cell, Neutrophils

Identifiers

Local EPrints ID: 472371
URI: http://eprints.soton.ac.uk/id/eprint/472371
ISSN: 1073-449X
PURE UUID: 72b07da6-dbaa-4649-acbc-923756d9c708
ORCID for Ratko Djukanovic: ORCID iD orcid.org/0000-0001-6039-5612
ORCID for Graham Roberts: ORCID iD orcid.org/0000-0003-2252-1248

Catalogue record

Date deposited: 02 Dec 2022 17:43
Last modified: 18 Mar 2024 03:01

Export record

Altmetrics

Contributors

Author: Angelica Tiotiu
Author: Yusef Badi
Author: Nazanin Zounemat Kermani
Author: Marek Sanak
Author: Johan Kolmert
Author: Craig E. Wheelock
Author: Philip M. Hansbro
Author: Sven Erik Dahlén
Author: Peter J. Sterk
Author: Yike Guo
Author: Sharon Mumby
Author: Ian M. Adcock
Author: Kian Fan Chung
Author: Uruj Hoda
Author: Christos Rossios
Author: Elisabeth Bel
Author: Navin Rao
Author: David Myles
Author: Chris Compton
Author: Marleen Van Geest
Author: Peter Howarth
Author: Graham Roberts ORCID iD
Author: Diane Lefaudeux
Author: Bertrand De Meulder
Author: Aruna T. Bansal
Author: Richard Knowles
Author: Damijn Erzen
Author: Scott Wagers
Author: Norbert Krug
Author: Tim Higenbottam
Author: John Matthews
Author: Veit Erpenbeek
Author: Leon Carayannopoulos
Author: Amanda Roberts
Author: David Supple
Author: Pim deBoer
Author: Massimo Caruso
Author: Pascal Chanez
Author: Ildikó Horváth
Author: Jacek Musial
Author: Thomas Sandström
Corporate Author: U-BIOPRED Consortium Project Team

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×