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基于质谱的斑马鱼毒理代谢组学:分析与数据质量挑战综述

Mass Spectrometry-Based Zebrafish Toxicometabolomics: A Review of Analytical and Data Quality Challenges.

作者信息

da Silva Katyeny Manuela, Iturrospe Elias, Bars Chloe, Knapen Dries, Van Cruchten Steven, Covaci Adrian, van Nuijs Alexander L N

机构信息

Toxicological Center, Department of Pharmaceutical Sciences, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, Campus Drie Eiken, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.

Department of In Vitro Toxicology and Dermato-Cosmetology, Faculty of Medicine and Pharmacy, Campus Jette, Free University of Brussels, Laarbeeklaan 103, 1090 Brussels, Belgium.

出版信息

Metabolites. 2021 Sep 17;11(9):635. doi: 10.3390/metabo11090635.

DOI:10.3390/metabo11090635
PMID:34564451
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8467701/
Abstract

Metabolomics has achieved great progress over the last 20 years, and it is currently considered a mature research field. As a result, the number of applications in toxicology, biomarker, and drug discovery has also increased. Toxicometabolomics has emerged as a powerful strategy to provide complementary information to study molecular-level toxic effects, which can be combined with a wide range of toxicological assessments and models. The zebrafish model has gained importance in recent decades as a bridging tool between in vitro assays and mammalian in vivo studies in the field of toxicology. Furthermore, as this vertebrate model is a low-cost system and features highly conserved metabolic pathways found in humans and mammalian models, it is a promising tool for toxicometabolomics. This short review aims to introduce zebrafish researchers interested in understanding the effects of chemical exposure using metabolomics to the challenges and possibilities of the field, with a special focus on toxicometabolomics-based mass spectrometry. The overall goal is to provide insights into analytical strategies to generate and identify high-quality metabolomic experiments focusing on quality management systems (QMS) and the importance of data reporting and sharing.

摘要

在过去20年里,代谢组学取得了巨大进展,目前被认为是一个成熟的研究领域。因此,其在毒理学、生物标志物和药物发现方面的应用数量也有所增加。毒理代谢组学已成为一种强大的策略,可提供补充信息以研究分子水平的毒性效应,它能与广泛的毒理学评估和模型相结合。近几十年来,斑马鱼模型作为毒理学领域体外试验和哺乳动物体内研究之间的桥梁工具变得越来越重要。此外,由于这种脊椎动物模型是一种低成本系统,且具有在人类和哺乳动物模型中高度保守的代谢途径,它是毒理代谢组学的一种有前景的工具。这篇简短的综述旨在向有兴趣利用代谢组学了解化学物质暴露影响的斑马鱼研究人员介绍该领域的挑战和可能性,特别关注基于毒理代谢组学的质谱分析。总体目标是深入了解生成和识别高质量代谢组学实验的分析策略,重点关注质量管理体系(QMS)以及数据报告和共享的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/941b/8467701/fcf76311526c/metabolites-11-00635-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/941b/8467701/3ad893c4cec7/metabolites-11-00635-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/941b/8467701/fcf76311526c/metabolites-11-00635-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/941b/8467701/3ad893c4cec7/metabolites-11-00635-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/941b/8467701/fcf76311526c/metabolites-11-00635-g001.jpg

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