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Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure
The US FDA defines modified risk tobacco products (MRTPs) as products that aim to reduce harm or the risk of tobacco-related disease associated with commercially marketed tobacco products. Establishing a product’s potential as an MRTP requires scientific substantiation including toxicity studies an...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000Research
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5657032/ https://www.ncbi.nlm.nih.gov/pubmed/29123642 http://dx.doi.org/10.12688/f1000research.10493.2 |
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author | Boué, Stéphanie Exner, Thomas Ghosh, Samik Belcastro, Vincenzo Dokler, Joh Page, David Boda, Akash Bonjour, Filipe Hardy, Barry Vanscheeuwijck, Patrick Hoeng, Julia Peitsch, Manuel |
author_facet | Boué, Stéphanie Exner, Thomas Ghosh, Samik Belcastro, Vincenzo Dokler, Joh Page, David Boda, Akash Bonjour, Filipe Hardy, Barry Vanscheeuwijck, Patrick Hoeng, Julia Peitsch, Manuel |
author_sort | Boué, Stéphanie |
collection | PubMed |
description | The US FDA defines modified risk tobacco products (MRTPs) as products that aim to reduce harm or the risk of tobacco-related disease associated with commercially marketed tobacco products. Establishing a product’s potential as an MRTP requires scientific substantiation including toxicity studies and measures of disease risk relative to those of cigarette smoking. Best practices encourage verification of the data from such studies through sharing and open standards. Building on the experience gained from the OpenTox project, a proof-of-concept database and website ( INTERVALS) has been developed to share results from both in vivo inhalation studies and in vitro studies conducted by Philip Morris International R&D to assess candidate MRTPs. As datasets are often generated by diverse methods and standards, they need to be traceable, curated, and the methods used well described so that knowledge can be gained using data science principles and tools. The data-management framework described here accounts for the latest standards of data sharing and research reproducibility. Curated data and methods descriptions have been prepared in ISA-Tab format and stored in a database accessible via a search portal on the INTERVALS website. The portal allows users to browse the data by study or mechanism (e.g., inflammation, oxidative stress) and obtain information relevant to study design, methods, and the most important results. Given the successful development of the initial infrastructure, the goal is to grow this initiative and establish a public repository for 21 (st)-century preclinical systems toxicology MRTP assessment data and results that supports open data principles. |
format | Online Article Text |
id | pubmed-5657032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | F1000Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-56570322017-11-08 Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure Boué, Stéphanie Exner, Thomas Ghosh, Samik Belcastro, Vincenzo Dokler, Joh Page, David Boda, Akash Bonjour, Filipe Hardy, Barry Vanscheeuwijck, Patrick Hoeng, Julia Peitsch, Manuel F1000Res Method Article The US FDA defines modified risk tobacco products (MRTPs) as products that aim to reduce harm or the risk of tobacco-related disease associated with commercially marketed tobacco products. Establishing a product’s potential as an MRTP requires scientific substantiation including toxicity studies and measures of disease risk relative to those of cigarette smoking. Best practices encourage verification of the data from such studies through sharing and open standards. Building on the experience gained from the OpenTox project, a proof-of-concept database and website ( INTERVALS) has been developed to share results from both in vivo inhalation studies and in vitro studies conducted by Philip Morris International R&D to assess candidate MRTPs. As datasets are often generated by diverse methods and standards, they need to be traceable, curated, and the methods used well described so that knowledge can be gained using data science principles and tools. The data-management framework described here accounts for the latest standards of data sharing and research reproducibility. Curated data and methods descriptions have been prepared in ISA-Tab format and stored in a database accessible via a search portal on the INTERVALS website. The portal allows users to browse the data by study or mechanism (e.g., inflammation, oxidative stress) and obtain information relevant to study design, methods, and the most important results. Given the successful development of the initial infrastructure, the goal is to grow this initiative and establish a public repository for 21 (st)-century preclinical systems toxicology MRTP assessment data and results that supports open data principles. F1000Research 2017-09-05 /pmc/articles/PMC5657032/ /pubmed/29123642 http://dx.doi.org/10.12688/f1000research.10493.2 Text en Copyright: © 2017 Boué S et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Article Boué, Stéphanie Exner, Thomas Ghosh, Samik Belcastro, Vincenzo Dokler, Joh Page, David Boda, Akash Bonjour, Filipe Hardy, Barry Vanscheeuwijck, Patrick Hoeng, Julia Peitsch, Manuel Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure |
title | Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure |
title_full | Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure |
title_fullStr | Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure |
title_full_unstemmed | Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure |
title_short | Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure |
title_sort | supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5657032/ https://www.ncbi.nlm.nih.gov/pubmed/29123642 http://dx.doi.org/10.12688/f1000research.10493.2 |
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