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Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview
Currently, a small number of diseases, particularly cardiovascular (CVDs), oncologic (ODs), neurodegenerative (NDDs), chronic respiratory diseases, as well as diabetes, form a severe burden to most of the countries worldwide. Hence, there is an urgent need for development of efficient diagnostic too...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381289/ https://www.ncbi.nlm.nih.gov/pubmed/25584743 http://dx.doi.org/10.3390/metabo5010003 |
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author | Pereira, Jorge Porto-Figueira, Priscilla Cavaco, Carina Taunk, Khushman Rapole, Srikanth Dhakne, Rahul Nagarajaram, Hampapathalu Câmara, José S. |
author_facet | Pereira, Jorge Porto-Figueira, Priscilla Cavaco, Carina Taunk, Khushman Rapole, Srikanth Dhakne, Rahul Nagarajaram, Hampapathalu Câmara, José S. |
author_sort | Pereira, Jorge |
collection | PubMed |
description | Currently, a small number of diseases, particularly cardiovascular (CVDs), oncologic (ODs), neurodegenerative (NDDs), chronic respiratory diseases, as well as diabetes, form a severe burden to most of the countries worldwide. Hence, there is an urgent need for development of efficient diagnostic tools, particularly those enabling reliable detection of diseases, at their early stages, preferably using non-invasive approaches. Breath analysis is a non-invasive approach relying only on the characterisation of volatile composition of the exhaled breath (EB) that in turn reflects the volatile composition of the bloodstream and airways and therefore the status and condition of the whole organism metabolism. Advanced sampling procedures (solid-phase and needle traps microextraction) coupled with modern analytical technologies (proton transfer reaction mass spectrometry, selected ion flow tube mass spectrometry, ion mobility spectrometry, e-noses, etc.) allow the characterisation of EB composition to an unprecedented level. However, a key challenge in EB analysis is the proper statistical analysis and interpretation of the large and heterogeneous datasets obtained from EB research. There is no standard statistical framework/protocol yet available in literature that can be used for EB data analysis towards discovery of biomarkers for use in a typical clinical setup. Nevertheless, EB analysis has immense potential towards development of biomarkers for the early disease diagnosis of diseases. |
format | Online Article Text |
id | pubmed-4381289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-43812892015-05-18 Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview Pereira, Jorge Porto-Figueira, Priscilla Cavaco, Carina Taunk, Khushman Rapole, Srikanth Dhakne, Rahul Nagarajaram, Hampapathalu Câmara, José S. Metabolites Review Currently, a small number of diseases, particularly cardiovascular (CVDs), oncologic (ODs), neurodegenerative (NDDs), chronic respiratory diseases, as well as diabetes, form a severe burden to most of the countries worldwide. Hence, there is an urgent need for development of efficient diagnostic tools, particularly those enabling reliable detection of diseases, at their early stages, preferably using non-invasive approaches. Breath analysis is a non-invasive approach relying only on the characterisation of volatile composition of the exhaled breath (EB) that in turn reflects the volatile composition of the bloodstream and airways and therefore the status and condition of the whole organism metabolism. Advanced sampling procedures (solid-phase and needle traps microextraction) coupled with modern analytical technologies (proton transfer reaction mass spectrometry, selected ion flow tube mass spectrometry, ion mobility spectrometry, e-noses, etc.) allow the characterisation of EB composition to an unprecedented level. However, a key challenge in EB analysis is the proper statistical analysis and interpretation of the large and heterogeneous datasets obtained from EB research. There is no standard statistical framework/protocol yet available in literature that can be used for EB data analysis towards discovery of biomarkers for use in a typical clinical setup. Nevertheless, EB analysis has immense potential towards development of biomarkers for the early disease diagnosis of diseases. MDPI 2015-01-09 /pmc/articles/PMC4381289/ /pubmed/25584743 http://dx.doi.org/10.3390/metabo5010003 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Pereira, Jorge Porto-Figueira, Priscilla Cavaco, Carina Taunk, Khushman Rapole, Srikanth Dhakne, Rahul Nagarajaram, Hampapathalu Câmara, José S. Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview |
title | Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview |
title_full | Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview |
title_fullStr | Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview |
title_full_unstemmed | Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview |
title_short | Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview |
title_sort | breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381289/ https://www.ncbi.nlm.nih.gov/pubmed/25584743 http://dx.doi.org/10.3390/metabo5010003 |
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