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Towards precision medicine: The application of omics technologies in asthma management

Asthma is a chronic obstructive respiratory disease characterised by bronchial inflammation. Its biological and clinical features have been widely explored and a number of pharmacological treatments are currently available. Currently several aspects of asthma pathophysiological background remain unc...

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Autores principales: Scelfo, Chiara, Galeone, Carla, Bertolini, Francesca, Caminati, Marco, Ruggiero, Patrizia, Facciolongo, Nicola, Menzella, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964625/
https://www.ncbi.nlm.nih.gov/pubmed/29904594
http://dx.doi.org/10.12688/f1000research.14309.2
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author Scelfo, Chiara
Galeone, Carla
Bertolini, Francesca
Caminati, Marco
Ruggiero, Patrizia
Facciolongo, Nicola
Menzella, Francesco
author_facet Scelfo, Chiara
Galeone, Carla
Bertolini, Francesca
Caminati, Marco
Ruggiero, Patrizia
Facciolongo, Nicola
Menzella, Francesco
author_sort Scelfo, Chiara
collection PubMed
description Asthma is a chronic obstructive respiratory disease characterised by bronchial inflammation. Its biological and clinical features have been widely explored and a number of pharmacological treatments are currently available. Currently several aspects of asthma pathophysiological background remain unclear, and this is represent a limitation for the traditional asthma phenotype approach. In this scenario, the identification of new molecular and clinical biomarkers may be helpful in order to better understand the disease, define specific diagnostic tools and highlight relevant novel targets for pharmacological treatments. Omics technologies offer innovative research tools for addressing the above mentioned goals. However, there is still a lot to do both in the fields of basic research and in the clinical application. Recently, genome-wide association studies, microRNAs and proteomics are contributing to enrich the available data for the identification of new asthma biomarkers. A precise approach to the patient with asthma, particularly with severe uncontrolled asthma, requires new and specific therapeutic targets, but also proper tools able to drive the clinician in tailoring the treatment. On the other hand, there is a need of predictors to treatment’s response, particularly in the field of biological drugs, whose sustainability implies a correct and precise selection of the patients. Translating acquired omics knowledge in clinical practice may address the unmet needs described above, but large-scale studies are required in order to confirm their relevance and effectiveness in daily practice. Thus in our opinion the application of omics is still lagging in the real-life setting.
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spelling pubmed-59646252018-06-13 Towards precision medicine: The application of omics technologies in asthma management Scelfo, Chiara Galeone, Carla Bertolini, Francesca Caminati, Marco Ruggiero, Patrizia Facciolongo, Nicola Menzella, Francesco F1000Res Opinion Article Asthma is a chronic obstructive respiratory disease characterised by bronchial inflammation. Its biological and clinical features have been widely explored and a number of pharmacological treatments are currently available. Currently several aspects of asthma pathophysiological background remain unclear, and this is represent a limitation for the traditional asthma phenotype approach. In this scenario, the identification of new molecular and clinical biomarkers may be helpful in order to better understand the disease, define specific diagnostic tools and highlight relevant novel targets for pharmacological treatments. Omics technologies offer innovative research tools for addressing the above mentioned goals. However, there is still a lot to do both in the fields of basic research and in the clinical application. Recently, genome-wide association studies, microRNAs and proteomics are contributing to enrich the available data for the identification of new asthma biomarkers. A precise approach to the patient with asthma, particularly with severe uncontrolled asthma, requires new and specific therapeutic targets, but also proper tools able to drive the clinician in tailoring the treatment. On the other hand, there is a need of predictors to treatment’s response, particularly in the field of biological drugs, whose sustainability implies a correct and precise selection of the patients. Translating acquired omics knowledge in clinical practice may address the unmet needs described above, but large-scale studies are required in order to confirm their relevance and effectiveness in daily practice. Thus in our opinion the application of omics is still lagging in the real-life setting. F1000 Research Limited 2018-05-18 /pmc/articles/PMC5964625/ /pubmed/29904594 http://dx.doi.org/10.12688/f1000research.14309.2 Text en Copyright: © 2018 Scelfo C et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Opinion Article
Scelfo, Chiara
Galeone, Carla
Bertolini, Francesca
Caminati, Marco
Ruggiero, Patrizia
Facciolongo, Nicola
Menzella, Francesco
Towards precision medicine: The application of omics technologies in asthma management
title Towards precision medicine: The application of omics technologies in asthma management
title_full Towards precision medicine: The application of omics technologies in asthma management
title_fullStr Towards precision medicine: The application of omics technologies in asthma management
title_full_unstemmed Towards precision medicine: The application of omics technologies in asthma management
title_short Towards precision medicine: The application of omics technologies in asthma management
title_sort towards precision medicine: the application of omics technologies in asthma management
topic Opinion Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964625/
https://www.ncbi.nlm.nih.gov/pubmed/29904594
http://dx.doi.org/10.12688/f1000research.14309.2
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