Method validation strategies involved in non-targeted metabolomics
- PMID: 24811151
- DOI: 10.1016/j.chroma.2014.04.071
Method validation strategies involved in non-targeted metabolomics
Abstract
Non-targeted metabolomics is the hypothesis generating, global unbiased analysis of all the small-molecule metabolites present within a biological system, under a given set of conditions. It includes several common steps such as selection of biological samples, sample pre-treatment, analytical conditions set-up, acquiring data, data analysis by chemometrics, database search and biological interpretation. Non-targeted metabolomics offers the potential for a holistic approach in the area of biomedical research in order to improve disease diagnosis and to understand its pathological mechanisms. Various analytical methods have been developed based on nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry (MS) coupled with different separation techniques. The key points in any analytical method development are the validation of every step to get a reliable and reproducible result and non-targeted metabolomics is not beyond this criteria, although analytical challenges are completely new and different to target methods. This review paper will describe the available validation strategies that are being used and as well will recommend some steps to consider during a non-targeted metabolomics analytical method development.
Keywords: Analytical method validation; Metabolomics; Non-targeted approach.
Copyright © 2014 Elsevier B.V. All rights reserved.
Similar articles
-
The combination of four analytical methods to explore skeletal muscle metabolomics: Better coverage of metabolic pathways or a marketing argument?J Pharm Biomed Anal. 2018 Jan 30;148:273-279. doi: 10.1016/j.jpba.2017.10.013. Epub 2017 Oct 18. J Pharm Biomed Anal. 2018. PMID: 29059617
-
[Metabolome and mass spectrometry: new biomedical analysis perspectives].Ann Biol Clin (Paris). 2015 Jan-Feb;73(1):126-30. doi: 10.1684/abc.2014.1020. Ann Biol Clin (Paris). 2015. PMID: 25582729 Review. French.
-
Quality Control and Validation Issues in LC-MS Metabolomics.Methods Mol Biol. 2018;1738:15-26. doi: 10.1007/978-1-4939-7643-0_2. Methods Mol Biol. 2018. PMID: 29654580
-
The strengths and weaknesses of NMR spectroscopy and mass spectrometry with particular focus on metabolomics research.Methods Mol Biol. 2015;1277:161-93. doi: 10.1007/978-1-4939-2377-9_13. Methods Mol Biol. 2015. PMID: 25677154
-
Analytical pitfalls and challenges in clinical metabolomics.Bioanalysis. 2016 Jul;8(14):1509-32. doi: 10.4155/bio-2016-0090. Epub 2016 Jun 21. Bioanalysis. 2016. PMID: 27323646 Review.
Cited by
-
Integrative analysis of the ovarian metabolome and transcriptome of the Yaoshan chicken and its improved hybrids.Front Genet. 2024 Jul 8;15:1416283. doi: 10.3389/fgene.2024.1416283. eCollection 2024. Front Genet. 2024. PMID: 39040995 Free PMC article.
-
Untargeted Metabolomics to Go beyond the Canonical Effect of Acetylsalicylic Acid.J Clin Med. 2019 Dec 24;9(1):51. doi: 10.3390/jcm9010051. J Clin Med. 2019. PMID: 31878351 Free PMC article.
-
Status of Metabolomic Measurement for Insights in Alzheimer's Disease Progression-What Is Missing?Int J Mol Sci. 2023 Mar 4;24(5):4960. doi: 10.3390/ijms24054960. Int J Mol Sci. 2023. PMID: 36902391 Free PMC article. Review.
-
Metabolite Alterations in Autoimmune Diseases: A Systematic Review of Metabolomics Studies.Metabolites. 2023 Sep 1;13(9):987. doi: 10.3390/metabo13090987. Metabolites. 2023. PMID: 37755267 Free PMC article. Review.
-
Untargeted LC-MS metabolomic studies of Asteraceae species to discover inhibitors of Leishmania major dihydroorotate dehydrogenase.Metabolomics. 2019 Apr 4;15(4):59. doi: 10.1007/s11306-019-1520-7. Metabolomics. 2019. PMID: 30949823
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources