Circulating miRNAs – a potential tool to identify severe asthma risk?
Circulating miRNAs – a potential tool to identify severe asthma risk?
Background: Identifying patients at risk of severe asthma is vitally important given the disproportionate burden of disease imposed by that state. However, biomarkers to support such needs remain elusive. Methods: In this letter, we assessed whether specific panels of circulating miRNAs (microRNAs) can differentiate between mild and severe asthma patients as well as between healthy subjects and severe asthma patients. Results: To our knowledge, the miRNAs identified in our work such as miR-28-3p, miR-16-2-3p, and miR-210-3p have not been previously reported as differentially expressed in the serum of severe asthma patients. Conclusion: Our findings suggest that miRNA expression profiles may have the capability as potential biomarkers that signal the risk of having severe asthma. As such, these findings have significant novelty and merit wider dissemination to facilitate further work in this field.
Kyyaly, Mohammed Aref
7bd69b33-fec8-405c-9f40-b7157f0242f0
Sanchez-Elsner, Tilman
b8799f8d-e2b4-4b37-b77c-f2f0e8e2070d
He, Peijun
2e303166-6aa5-4a09-b22e-440d96a54a9f
Sones, Collin L.
9de9d8ee-d394-46a5-80b7-e341c0eed0a8
Arshad, S Hasan
795d8599-b77d-44e5-bb9c-67db78822057
Kurukulaaratchy, Ramesh J.
9c7b8105-2892-49f2-8775-54d4961e3e74
19 June 2021
Kyyaly, Mohammed Aref
7bd69b33-fec8-405c-9f40-b7157f0242f0
Sanchez-Elsner, Tilman
b8799f8d-e2b4-4b37-b77c-f2f0e8e2070d
He, Peijun
2e303166-6aa5-4a09-b22e-440d96a54a9f
Sones, Collin L.
9de9d8ee-d394-46a5-80b7-e341c0eed0a8
Arshad, S Hasan
795d8599-b77d-44e5-bb9c-67db78822057
Kurukulaaratchy, Ramesh J.
9c7b8105-2892-49f2-8775-54d4961e3e74
Kyyaly, Mohammed Aref, Sanchez-Elsner, Tilman, He, Peijun, Sones, Collin L., Arshad, S Hasan and Kurukulaaratchy, Ramesh J.
(2021)
Circulating miRNAs – a potential tool to identify severe asthma risk?
Clinical and Translational Allergy, 11 (4), [e12040].
(doi:10.1002/clt2.12040).
Abstract
Background: Identifying patients at risk of severe asthma is vitally important given the disproportionate burden of disease imposed by that state. However, biomarkers to support such needs remain elusive. Methods: In this letter, we assessed whether specific panels of circulating miRNAs (microRNAs) can differentiate between mild and severe asthma patients as well as between healthy subjects and severe asthma patients. Results: To our knowledge, the miRNAs identified in our work such as miR-28-3p, miR-16-2-3p, and miR-210-3p have not been previously reported as differentially expressed in the serum of severe asthma patients. Conclusion: Our findings suggest that miRNA expression profiles may have the capability as potential biomarkers that signal the risk of having severe asthma. As such, these findings have significant novelty and merit wider dissemination to facilitate further work in this field.
Text
miRNA Letter Revised Final Clean(Accepted)
- Accepted Manuscript
More information
Published date: 19 June 2021
Additional Information:
ACKNOWLEDGMENTS
We would like to extend our gratitude to participants in both the WATCH and Isle of Wight Birth Cohort studies as well as the wider WATCH and Isle of Wight Birth Cohort study teams. We wish to acknowledge the support of the Southampton NIHR Biomedical Research Centre and the Southampton NIHR Clinical Research Facility. The BRC and CRF are funded by the NIHR and are a partnership between the University of Southampton and University Hospital Southampton NHS Foundation Trust. We also wish to acknowledge funding contributions from the Asthma, Allergy & Inflammation Research (AAIR) Charity and Asthma UK in supporting this work. This work was funded by Asthma, Allergy & Inflammation Research (AAIR) Charity and Asthma UK (Grant: AUK-PG-2019-419).
Identifiers
Local EPrints ID: 449910
URI: http://eprints.soton.ac.uk/id/eprint/449910
ISSN: 2045-7022
PURE UUID: b7e4dec5-ac3a-4ff4-86cf-107f77e8489c
Catalogue record
Date deposited: 25 Jun 2021 16:30
Last modified: 17 Mar 2024 03:39
Export record
Altmetrics
Contributors
Author:
Peijun He
Author:
Collin L. Sones
Author:
S Hasan Arshad
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