The University of Southampton
University of Southampton Institutional Repository

Pulmonary EV miRNA profiles identify disease and distinct inflammatory endotypes in COPD

Pulmonary EV miRNA profiles identify disease and distinct inflammatory endotypes in COPD
Pulmonary EV miRNA profiles identify disease and distinct inflammatory endotypes in COPD

Introduction: Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition without effective disease modifying therapies. Identification of novel inflammatory endotype markers such as extracellular vesicles (EVs), which are important intercellular messengers carrying microRNA (miRNA), may enable earlier diagnosis and disease stratification for a targeted treatment approach. Our aim was to identify differentially expressed EV miRNA in the lungs of COPD patients compared with healthy ex-smokers and determine whether they can help define inflammatory COPD endotypes. Methods: EV miRNA were isolated and sequenced from ex-smoking COPD patients and healthy ex-smoker bronchoalveolar lavage fluid. Results were validated with RT-qPCR and compared to differential inflammatory cell counts. Results: Expression analysis identified five upregulated miRNA in COPD (miR-223-3p, miR-2110, miR-182-5p, miR-200b-5p and miR-625-3p) and three downregulated miRNA (miR-138-5p, miR-338-3p and miR-204-5p), all with a log2 fold change of >1/−1, FDR < 0.05. These miRNAs correlated with disease defining characteristics such as FEF 25–75% (a small airways disease measure) and DLCO% (a surrogate measure of emphysema). Receiver operator curve analysis demonstrated miR-2110, miR-223-3p, and miR-182-5p showed excellent combinatory predictive ability (AUC 0.91, p < 0.0001) in differentiating between health and mild COPD. Furthermore, miR-223-3p and miR-338-3p correlated with airway eosinophilia and were able to distinguish “pure eosinophilic” COPD from other airway inflammatory subtypes (AUC 0.94 and 0.85, respectively). Discussion: This is the first study to identify differentially expressed miRNA in COPD bronchoalveolar lavage fluid EVs. These findings suggest specific lung derived EV miRNA are a strong predictor of disease presence even in mild COPD. Furthermore, specific miRNA correlated with inflammatory cell numbers in COPD, and may have a role in defining inflammatory endotypes for future treatment stratification.

COPD, early diagnostics, extracellular vesicles, inflammatory endotypes, microRNA
2296-858X
Burke, Hannah
a9bb9391-4704-4584-aeb7-e69fe0acbdb8
Cellura, Doriana
5edb82b2-f50c-4c76-bd10-8bf687a91b4d
Freeman, Anna
b5f45a0d-f9e4-4a91-9af0-40efb6730787
Hicks, Alexander P
d8d07898-d1ba-4428-b884-f929b65ae9ea
Ostridge, Kristoffer
d2271bae-b078-4390-8919-8f8c0e20542c
Watson, Alastair
9eb79329-8d32-4ed4-b8b9-d720883e8042
Williams, Nicholas Paul
00ee9f78-fdc9-434f-be3e-5ded7a8abe08
Spalluto, Cosma Mirella
6802ad50-bc38-404f-9a19-40916425183b
Staples, Karl J.
e0e9d80f-0aed-435f-bd75-0c8818491fee
Wilkinson, Thomas
8c55ebbb-e547-445c-95a1-c8bed02dd652
MICA II Studygroup
Burke, Hannah
a9bb9391-4704-4584-aeb7-e69fe0acbdb8
Cellura, Doriana
5edb82b2-f50c-4c76-bd10-8bf687a91b4d
Freeman, Anna
b5f45a0d-f9e4-4a91-9af0-40efb6730787
Hicks, Alexander P
d8d07898-d1ba-4428-b884-f929b65ae9ea
Ostridge, Kristoffer
d2271bae-b078-4390-8919-8f8c0e20542c
Watson, Alastair
9eb79329-8d32-4ed4-b8b9-d720883e8042
Williams, Nicholas Paul
00ee9f78-fdc9-434f-be3e-5ded7a8abe08
Spalluto, Cosma Mirella
6802ad50-bc38-404f-9a19-40916425183b
Staples, Karl J.
e0e9d80f-0aed-435f-bd75-0c8818491fee
Wilkinson, Thomas
8c55ebbb-e547-445c-95a1-c8bed02dd652

Burke, Hannah, Cellura, Doriana, Freeman, Anna, Hicks, Alexander P, Ostridge, Kristoffer, Watson, Alastair, Williams, Nicholas Paul, Spalluto, Cosma Mirella, Staples, Karl J. and Wilkinson, Thomas , MICA II Studygroup (2022) Pulmonary EV miRNA profiles identify disease and distinct inflammatory endotypes in COPD. Frontiers in Medicine, 9, [1039702]. (doi:10.3389/fmed.2022.1039702).

Record type: Article

Abstract

Introduction: Chronic obstructive pulmonary disease (COPD) is a heterogeneous condition without effective disease modifying therapies. Identification of novel inflammatory endotype markers such as extracellular vesicles (EVs), which are important intercellular messengers carrying microRNA (miRNA), may enable earlier diagnosis and disease stratification for a targeted treatment approach. Our aim was to identify differentially expressed EV miRNA in the lungs of COPD patients compared with healthy ex-smokers and determine whether they can help define inflammatory COPD endotypes. Methods: EV miRNA were isolated and sequenced from ex-smoking COPD patients and healthy ex-smoker bronchoalveolar lavage fluid. Results were validated with RT-qPCR and compared to differential inflammatory cell counts. Results: Expression analysis identified five upregulated miRNA in COPD (miR-223-3p, miR-2110, miR-182-5p, miR-200b-5p and miR-625-3p) and three downregulated miRNA (miR-138-5p, miR-338-3p and miR-204-5p), all with a log2 fold change of >1/−1, FDR < 0.05. These miRNAs correlated with disease defining characteristics such as FEF 25–75% (a small airways disease measure) and DLCO% (a surrogate measure of emphysema). Receiver operator curve analysis demonstrated miR-2110, miR-223-3p, and miR-182-5p showed excellent combinatory predictive ability (AUC 0.91, p < 0.0001) in differentiating between health and mild COPD. Furthermore, miR-223-3p and miR-338-3p correlated with airway eosinophilia and were able to distinguish “pure eosinophilic” COPD from other airway inflammatory subtypes (AUC 0.94 and 0.85, respectively). Discussion: This is the first study to identify differentially expressed miRNA in COPD bronchoalveolar lavage fluid EVs. These findings suggest specific lung derived EV miRNA are a strong predictor of disease presence even in mild COPD. Furthermore, specific miRNA correlated with inflammatory cell numbers in COPD, and may have a role in defining inflammatory endotypes for future treatment stratification.

Text
fmed-09-1039702 - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)
Other
Burke et al 2022 Accepted
Available under License Creative Commons Attribution.
Download (719kB)

More information

Accepted/In Press date: 28 November 2022
e-pub ahead of print date: 15 December 2022
Published date: 15 December 2022
Additional Information: Funding Information: This study was part funded by the Wellcome Trust, as part of a Wellcome Trust Clinical Research Fellow awarded to HB (201244/Z/16/Z), and AstraZeneca. AstraZeneca reviewed the publication, without influencing the opinions of the authors, to ensure medical and scientific accuracy, and the protection of intellectual property. HB had access to all data in the study and had the final responsibility for the decision to submit the manuscript for publication. Publisher Copyright: Copyright © 2022 Burke, Cellura, Freeman, Hicks, Ostridge, Watson, Williams, Spalluto, Staples and Wilkinson.
Keywords: COPD, early diagnostics, extracellular vesicles, inflammatory endotypes, microRNA

Identifiers

Local EPrints ID: 473011
URI: http://eprints.soton.ac.uk/id/eprint/473011
ISSN: 2296-858X
PURE UUID: 270b0c97-661c-46fa-9195-127dd3a320f0
ORCID for Hannah Burke: ORCID iD orcid.org/0000-0003-3553-4590
ORCID for Anna Freeman: ORCID iD orcid.org/0000-0003-3495-2520
ORCID for Cosma Mirella Spalluto: ORCID iD orcid.org/0000-0001-7273-0844
ORCID for Karl J. Staples: ORCID iD orcid.org/0000-0003-3844-6457

Catalogue record

Date deposited: 06 Jan 2023 18:02
Last modified: 17 Mar 2024 04:06

Export record

Altmetrics

Contributors

Author: Hannah Burke ORCID iD
Author: Doriana Cellura
Author: Anna Freeman ORCID iD
Author: Alexander P Hicks
Author: Kristoffer Ostridge
Author: Alastair Watson
Author: Nicholas Paul Williams
Author: Cosma Mirella Spalluto ORCID iD
Author: Karl J. Staples ORCID iD
Corporate Author: MICA II Studygroup

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.

×