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Tytuł pozycji:

Metabolomics in clinical and forensic toxicology, sports anti-doping and veterinary residues.

Tytuł:
Metabolomics in clinical and forensic toxicology, sports anti-doping and veterinary residues.
Autorzy:
Keen B; Centre for Forensic Science, University of Technology Sydney, Broadway, New South Wales, Australia.
Cawley A; Australian Racing Forensic Laboratory, Racing NSW, Sydney, New South Wales, Australia.
Reedy B; School of Mathematical and Physical Sciences, University of Technology Sydney, Broadway, New South Wales, Australia.
Fu S; Centre for Forensic Science, University of Technology Sydney, Broadway, New South Wales, Australia.
Źródło:
Drug testing and analysis [Drug Test Anal] 2022 May; Vol. 14 (5), pp. 794-807. Date of Electronic Publication: 2022 Mar 08.
Typ publikacji:
Journal Article; Review
Język:
English
Imprint Name(s):
Original Publication: Chichester, UK : John Wiley & Sons
MeSH Terms:
Doping in Sports*
Sports*
Animals ; Forensic Toxicology ; Horses ; Metabolomics ; Workflow
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Contributed Indexing:
Keywords: anti-doping; equine; metabolomics; toxicology; veterinary residues
Entry Date(s):
Date Created: 20220223 Date Completed: 20220524 Latest Revision: 20230918
Update Code:
20240104
PubMed Central ID:
PMC9544538
DOI:
10.1002/dta.3245
PMID:
35194967
Czasopismo naukowe
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.
(© 2022 The Authors. Drug Testing and Analysis published by John Wiley & Sons Ltd.)
Comment in: Drug Test Anal. 2022 May;14(5):791-793. (PMID: 35388980)

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