Metabolic Phenotypes in Asthmatic Adults: Relationship with Inflammatory and Clinical Phenotypes and Prognostic Implications
Bronchial asthma is a chronic disease that affects individuals of all ages. It has a high prevalence and is associated with high morbidity and considerable levels of mortality. However, asthma is not a single disease, and multiple subtypes or phenotypes (clinical, inflammatory or combinations thereo...
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2021-08-01
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author | Adalberto Santos Helena Pité Cláudia Chaves-Loureiro Sílvia M. Rocha Luís Taborda-Barata |
author_facet | Adalberto Santos Helena Pité Cláudia Chaves-Loureiro Sílvia M. Rocha Luís Taborda-Barata |
author_sort | Adalberto Santos |
collection | DOAJ |
description | Bronchial asthma is a chronic disease that affects individuals of all ages. It has a high prevalence and is associated with high morbidity and considerable levels of mortality. However, asthma is not a single disease, and multiple subtypes or phenotypes (clinical, inflammatory or combinations thereof) can be detected, namely in aggregated clusters. Most studies have characterised asthma phenotypes and clusters of phenotypes using mainly clinical and inflammatory parameters. These studies are important because they may have clinical and prognostic implications and may also help to tailor personalised treatment approaches. In addition, various metabolomics studies have helped to further define the metabolic features of asthma, using electronic noses or targeted and untargeted approaches. Besides discriminating between asthma and a healthy state, metabolomics can detect the metabolic signatures associated with some asthma subtypes, namely eosinophilic and non-eosinophilic phenotypes or the obese asthma phenotype, and this may prove very useful in point-of-care application. Furthermore, metabolomics also discriminates between asthma and other “phenotypes” of chronic obstructive airway diseases, such as chronic obstructive pulmonary disease (COPD) or Asthma–COPD Overlap (ACO). However, there are still various aspects that need to be more thoroughly investigated in the context of asthma phenotypes in adequately designed, homogeneous, multicentre studies, using adequate tools and integrating metabolomics into a multiple-level approach. |
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id | doaj.art-12b2c514e7ff424fad5f25286e0623f1 |
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issn | 2218-1989 |
language | English |
last_indexed | 2024-03-10T08:35:52Z |
publishDate | 2021-08-01 |
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spelling | doaj.art-12b2c514e7ff424fad5f25286e0623f12023-11-22T08:39:42ZengMDPI AGMetabolites2218-19892021-08-0111853410.3390/metabo11080534Metabolic Phenotypes in Asthmatic Adults: Relationship with Inflammatory and Clinical Phenotypes and Prognostic ImplicationsAdalberto Santos0Helena Pité1Cláudia Chaves-Loureiro2Sílvia M. Rocha3Luís Taborda-Barata4Faculty of Health Sciences, University of Beira Interior, Avenida Infante D. Henrique, 6200-506 Covilhã, PortugalAllergy Center, CUF Descobertas Hospital and CUF Tejo Hospital, 1350-352 Lisbon, PortugalPulmonology Unit, Hospitais da Universidade de Coimbra, Centro Hospitalar e Universitário de Coimbra, 3004-561 Coimbra, PortugalDepartment of Chemistry & LAQV-REQUIMTE, University of Aveiro, Campus Universitário Santiago, 3810-168 Aveiro, PortugalFaculty of Health Sciences, University of Beira Interior, Avenida Infante D. Henrique, 6200-506 Covilhã, PortugalBronchial asthma is a chronic disease that affects individuals of all ages. It has a high prevalence and is associated with high morbidity and considerable levels of mortality. However, asthma is not a single disease, and multiple subtypes or phenotypes (clinical, inflammatory or combinations thereof) can be detected, namely in aggregated clusters. Most studies have characterised asthma phenotypes and clusters of phenotypes using mainly clinical and inflammatory parameters. These studies are important because they may have clinical and prognostic implications and may also help to tailor personalised treatment approaches. In addition, various metabolomics studies have helped to further define the metabolic features of asthma, using electronic noses or targeted and untargeted approaches. Besides discriminating between asthma and a healthy state, metabolomics can detect the metabolic signatures associated with some asthma subtypes, namely eosinophilic and non-eosinophilic phenotypes or the obese asthma phenotype, and this may prove very useful in point-of-care application. Furthermore, metabolomics also discriminates between asthma and other “phenotypes” of chronic obstructive airway diseases, such as chronic obstructive pulmonary disease (COPD) or Asthma–COPD Overlap (ACO). However, there are still various aspects that need to be more thoroughly investigated in the context of asthma phenotypes in adequately designed, homogeneous, multicentre studies, using adequate tools and integrating metabolomics into a multiple-level approach.https://www.mdpi.com/2218-1989/11/8/534metabolomicsasthmaphenotypesendotypes |
spellingShingle | Adalberto Santos Helena Pité Cláudia Chaves-Loureiro Sílvia M. Rocha Luís Taborda-Barata Metabolic Phenotypes in Asthmatic Adults: Relationship with Inflammatory and Clinical Phenotypes and Prognostic Implications Metabolites metabolomics asthma phenotypes endotypes |
title | Metabolic Phenotypes in Asthmatic Adults: Relationship with Inflammatory and Clinical Phenotypes and Prognostic Implications |
title_full | Metabolic Phenotypes in Asthmatic Adults: Relationship with Inflammatory and Clinical Phenotypes and Prognostic Implications |
title_fullStr | Metabolic Phenotypes in Asthmatic Adults: Relationship with Inflammatory and Clinical Phenotypes and Prognostic Implications |
title_full_unstemmed | Metabolic Phenotypes in Asthmatic Adults: Relationship with Inflammatory and Clinical Phenotypes and Prognostic Implications |
title_short | Metabolic Phenotypes in Asthmatic Adults: Relationship with Inflammatory and Clinical Phenotypes and Prognostic Implications |
title_sort | metabolic phenotypes in asthmatic adults relationship with inflammatory and clinical phenotypes and prognostic implications |
topic | metabolomics asthma phenotypes endotypes |
url | https://www.mdpi.com/2218-1989/11/8/534 |
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