Mass Spectrometry-Based Zebrafish Toxicometabolomics: A Review of Analytical and Data Quality Challenges.
Katyeny Manuela da SilvaElias IturrospeChloe BarsDries KnapenSteven J Van CruchtenAdrian CovaciAlexander L N van NuijsPublished in: Metabolites (2021)
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.
Keyphrases
- mass spectrometry
- liquid chromatography
- drug discovery
- low cost
- gas chromatography
- high performance liquid chromatography
- electronic health record
- capillary electrophoresis
- tandem mass spectrometry
- high resolution
- big data
- health information
- quality improvement
- social media
- transcription factor
- simultaneous determination
- machine learning