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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2016
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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. |
format | Online Article Text |
id | pubmed-5297659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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