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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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Autor principal: Berenguer, Anabela Gonçalves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
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
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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.
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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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