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用于监管毒理学中的代谢组学的应用实例、最佳实践和报告标准。

Use cases, best practice and reporting standards for metabolomics in regulatory toxicology.

机构信息

School of Biosciences and Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.

Imperial College London, London, SW7 2AZ, UK.

出版信息

Nat Commun. 2019 Jul 10;10(1):3041. doi: 10.1038/s41467-019-10900-y.

DOI:10.1038/s41467-019-10900-y
PMID:31292445
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6620295/
Abstract

Metabolomics is a widely used technology in academic research, yet its application to regulatory science has been limited. The most commonly cited barrier to its translation is lack of performance and reporting standards. The MEtabolomics standaRds Initiative in Toxicology (MERIT) project brings together international experts from multiple sectors to address this need. Here, we identify the most relevant applications for metabolomics in regulatory toxicology and develop best practice guidelines, performance and reporting standards for acquiring and analysing untargeted metabolomics and targeted metabolite data. We recommend that these guidelines are evaluated and implemented for several regulatory use cases.

摘要

代谢组学是学术研究中广泛使用的技术,但将其应用于监管科学的情况有限。其转化应用最常被提及的障碍是缺乏性能和报告标准。毒理学代谢组学标准倡议(MERIT)项目汇集了来自多个领域的国际专家,以满足这一需求。在这里,我们确定了代谢组学在监管毒理学中的最相关应用,并为非靶向代谢组学和靶向代谢物数据的获取和分析制定了最佳实践指南、性能和报告标准。我们建议对这些指南进行评估,并针对几种监管用例进行实施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aab4/6620295/54a220a55205/41467_2019_10900_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aab4/6620295/4b9058fbdeeb/41467_2019_10900_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aab4/6620295/a5a344d69864/41467_2019_10900_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aab4/6620295/9cf35606b823/41467_2019_10900_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aab4/6620295/0947f930ea98/41467_2019_10900_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aab4/6620295/54a220a55205/41467_2019_10900_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aab4/6620295/4b9058fbdeeb/41467_2019_10900_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aab4/6620295/a5a344d69864/41467_2019_10900_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aab4/6620295/9cf35606b823/41467_2019_10900_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aab4/6620295/0947f930ea98/41467_2019_10900_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aab4/6620295/54a220a55205/41467_2019_10900_Fig5_HTML.jpg

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Arch Toxicol. 2025 May 16. doi: 10.1007/s00204-025-04074-4.
4
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