Metabolomics in clinical and forensic toxicology, sports anti-doping and veterinary residues
- PMID: 35194967
- PMCID: PMC9544538
- DOI: 10.1002/dta.3245
Metabolomics in clinical and forensic toxicology, sports anti-doping and veterinary residues
Abstract
Metabolomics is a multidisciplinary field providing workflows for complementary approaches to conventional analytical determinations. It allows for the study of metabolically related groups of compounds or even the study of novel pathways within the biological system. The procedural stages of metabolomics; experimental design, sample preparation, analytical determinations, data processing and statistical analysis, compound identification and validation strategies are explored in this review. The selected approach will depend on the type of study being conducted. Experimental design influences the whole metabolomics workflow and thus needs to be properly assessed to ensure sufficient sample size, minimal introduced and biological variation and appropriate statistical power. Sample preparation needs to be simple, yet potentially global in order to detect as many compounds as possible. Analytical determinations need to be optimised either for the list of targeted compounds or a universal approach. Data processing and statistical analysis approaches vary widely and need to be better harmonised for review and interpretation. This includes validation strategies that are currently deficient in many presented workflows. Common compound identification approaches have been explored in this review. Metabolomics applications are discussed for clinical and forensic toxicology, human and equine sports anti-doping and veterinary residues.
Keywords: anti-doping; equine; metabolomics; toxicology; veterinary residues.
© 2022 The Authors. Drug Testing and Analysis published by John Wiley & Sons Ltd.
Comment in
-
Biomarker analysis.Drug Test Anal. 2022 May;14(5):791-793. doi: 10.1002/dta.3268. Epub 2022 Apr 7. Drug Test Anal. 2022. PMID: 35388980 No abstract available.
References
-
- Kenney B, Shockor JP. Complementary NMR and LC‐MS technologies for Metabonomic Studies. PharmaGenomics. 2003;3(9):56.
-
- Nobeli I, Thornton JM. A bioinformatician's view of the metabolome. Bioessays. 2006;28(5):534‐545. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
