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I feel you-monitoring environmental variables related to asthma in an integrated real-time frame
The study of asthma and other complex diseases has proven to be a “moving target” for researchers due to its complex aetiology, difficulty in definition, and immeasurable environmental effects. A large number of studies regarding the contribution of both genetic and environmental factors often resul...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4566483/ https://www.ncbi.nlm.nih.gov/pubmed/26361763 http://dx.doi.org/10.1186/s13104-015-1421-4 |
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author | Berenguer, Anabela Gonçalves |
author_facet | Berenguer, Anabela Gonçalves |
author_sort | Berenguer, Anabela Gonçalves |
collection | PubMed |
description | The study of asthma and other complex diseases has proven to be a “moving target” for researchers due to its complex aetiology, difficulty in definition, and immeasurable environmental effects. A large number of studies regarding the contribution of both genetic and environmental factors often result in contradictory results, in part due to the highly heterogeneous nature of asthma. Recent literature has focused on the epigenetic signatures of asthma caused by environmental factors, highlighting the importance of environment. However, unlike the genetic techniques, environmental assessment still lacks accuracy. A plausible solution for this problem would be an individual-based environmental exposure assessment, relying on new technologies such as personal real-time environmental sensors. This could prove to enable the assessment of the whole environmental exposure—or exposome—matching in terms of precision the genome that is emphasized in most studies so far. In addition, the measurement of the whole array of biological molecules, in response to the environment action, could help understand the context of the disease. The current perspective comprises a beyond-genetics integrated vision of omics technology coupled with real-time environmental measures targeting to enhance our comprehension of the disease genesis. |
format | Online Article Text |
id | pubmed-4566483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45664832015-09-12 I feel you-monitoring environmental variables related to asthma in an integrated real-time frame Berenguer, Anabela Gonçalves BMC Res Notes Correspondence The study of asthma and other complex diseases has proven to be a “moving target” for researchers due to its complex aetiology, difficulty in definition, and immeasurable environmental effects. A large number of studies regarding the contribution of both genetic and environmental factors often result in contradictory results, in part due to the highly heterogeneous nature of asthma. Recent literature has focused on the epigenetic signatures of asthma caused by environmental factors, highlighting the importance of environment. However, unlike the genetic techniques, environmental assessment still lacks accuracy. A plausible solution for this problem would be an individual-based environmental exposure assessment, relying on new technologies such as personal real-time environmental sensors. This could prove to enable the assessment of the whole environmental exposure—or exposome—matching in terms of precision the genome that is emphasized in most studies so far. In addition, the measurement of the whole array of biological molecules, in response to the environment action, could help understand the context of the disease. The current perspective comprises a beyond-genetics integrated vision of omics technology coupled with real-time environmental measures targeting to enhance our comprehension of the disease genesis. BioMed Central 2015-09-11 /pmc/articles/PMC4566483/ /pubmed/26361763 http://dx.doi.org/10.1186/s13104-015-1421-4 Text en © Berenguer. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Correspondence Berenguer, Anabela Gonçalves I feel you-monitoring environmental variables related to asthma in an integrated real-time frame |
title | I feel you-monitoring environmental variables related to asthma in an integrated real-time frame |
title_full | I feel you-monitoring environmental variables related to asthma in an integrated real-time frame |
title_fullStr | I feel you-monitoring environmental variables related to asthma in an integrated real-time frame |
title_full_unstemmed | I feel you-monitoring environmental variables related to asthma in an integrated real-time frame |
title_short | I feel you-monitoring environmental variables related to asthma in an integrated real-time frame |
title_sort | i feel you-monitoring environmental variables related to asthma in an integrated real-time frame |
topic | Correspondence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4566483/ https://www.ncbi.nlm.nih.gov/pubmed/26361763 http://dx.doi.org/10.1186/s13104-015-1421-4 |
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