Mass Spectrometry-Based Zebrafish Toxicometabolomics: A Review of Analytical and Data Quality Challenges
| Autor: | Dries Knapen, Katyeny Manuela Da Silva, Elias Iturrospe, Chloé Bars, Adrian Covaci, Steven Van Cruchten, Alexander L.N. van Nuijs |
|---|---|
| Přispěvatelé: | Pharmaceutical and Pharmacological Sciences, Faculty of Medicine and Pharmacy |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
biology
Drug discovery Computer science Endocrinology Diabetes and Metabolism In vitro toxicology Review Computational biology zebrafish biology.organism_classification metabolomics Microbiology Biochemistry QR1-502 quality assurance and quality control Biomarker (cell) Chemical exposure Chemistry Metabolomics Quality management system Data quality analytical chemistry Biology Molecular Biology Zebrafish mass spectrometry |
| Zdroj: | Metabolites Metabolites, Vol 11, Iss 635, p 635 (2021) |
| ISSN: | 2218-1989 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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