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A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research

The application of metabolomics to biological samples has been a key focus in systems biology research, which is aimed at the development of rapid diagnostic methods and the creation of personalized medicine. More recently, there has been a strong focus towards this approach applied to non-invasivel...

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Autores principales: Beale, David J., Jones, Oliver A. H., Karpe, Avinash V., Dayalan, Saravanan, Oh, Ding Yuan, Kouremenos, Konstantinos A., Ahmed, Warish, Palombo, Enzo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5297659/
https://www.ncbi.nlm.nih.gov/pubmed/28025547
http://dx.doi.org/10.3390/ijms18010024
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author Beale, David J.
Jones, Oliver A. H.
Karpe, Avinash V.
Dayalan, Saravanan
Oh, Ding Yuan
Kouremenos, Konstantinos A.
Ahmed, Warish
Palombo, Enzo A.
author_facet Beale, David J.
Jones, Oliver A. H.
Karpe, Avinash V.
Dayalan, Saravanan
Oh, Ding Yuan
Kouremenos, Konstantinos A.
Ahmed, Warish
Palombo, Enzo A.
author_sort Beale, David J.
collection PubMed
description The application of metabolomics to biological samples has been a key focus in systems biology research, which is aimed at the development of rapid diagnostic methods and the creation of personalized medicine. More recently, there has been a strong focus towards this approach applied to non-invasively acquired samples, such as saliva and exhaled breath. The analysis of these biological samples, in conjunction with other sample types and traditional diagnostic tests, has resulted in faster and more reliable characterization of a range of health disorders and diseases. As the sampling process involved in collecting exhaled breath and saliva is non-intrusive as well as comparatively low-cost and uses a series of widely accepted methods, it provides researchers with easy access to the metabolites secreted by the human body. Owing to its accuracy and rapid nature, metabolomic analysis of saliva and breath (known as salivaomics and breathomics, respectively) is a rapidly growing field and has shown potential to be effective in detecting and diagnosing the early stages of numerous diseases and infections in preclinical studies. This review discusses the various collection and analyses methods currently applied in two of the least used non-invasive sample types in metabolomics, specifically their application in salivaomics and breathomics research. Some of the salient research completed in this field to date is also assessed and discussed in order to provide a basis to advocate their use and possible future scientific directions.
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spelling pubmed-52976592017-02-10 A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research Beale, David J. Jones, Oliver A. H. Karpe, Avinash V. Dayalan, Saravanan Oh, Ding Yuan Kouremenos, Konstantinos A. Ahmed, Warish Palombo, Enzo A. Int J Mol Sci Review The application of metabolomics to biological samples has been a key focus in systems biology research, which is aimed at the development of rapid diagnostic methods and the creation of personalized medicine. More recently, there has been a strong focus towards this approach applied to non-invasively acquired samples, such as saliva and exhaled breath. The analysis of these biological samples, in conjunction with other sample types and traditional diagnostic tests, has resulted in faster and more reliable characterization of a range of health disorders and diseases. As the sampling process involved in collecting exhaled breath and saliva is non-intrusive as well as comparatively low-cost and uses a series of widely accepted methods, it provides researchers with easy access to the metabolites secreted by the human body. Owing to its accuracy and rapid nature, metabolomic analysis of saliva and breath (known as salivaomics and breathomics, respectively) is a rapidly growing field and has shown potential to be effective in detecting and diagnosing the early stages of numerous diseases and infections in preclinical studies. This review discusses the various collection and analyses methods currently applied in two of the least used non-invasive sample types in metabolomics, specifically their application in salivaomics and breathomics research. Some of the salient research completed in this field to date is also assessed and discussed in order to provide a basis to advocate their use and possible future scientific directions. MDPI 2016-12-23 /pmc/articles/PMC5297659/ /pubmed/28025547 http://dx.doi.org/10.3390/ijms18010024 Text en © 2016 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 (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Beale, David J.
Jones, Oliver A. H.
Karpe, Avinash V.
Dayalan, Saravanan
Oh, Ding Yuan
Kouremenos, Konstantinos A.
Ahmed, Warish
Palombo, Enzo A.
A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research
title A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research
title_full A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research
title_fullStr A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research
title_full_unstemmed A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research
title_short A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research
title_sort review of analytical techniques and their application in disease diagnosis in breathomics and salivaomics research
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5297659/
https://www.ncbi.nlm.nih.gov/pubmed/28025547
http://dx.doi.org/10.3390/ijms18010024
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