Reference materials for MS-based untargeted metabolomics and lipidomics: a review by the metabolomics quality assurance and quality control consortium (mQACC).

Content Provider	Europe PMC
Author	Lippa, Katrice A. Aristizabal-Henao, Juan J. Beger, Richard D. Bowden, John A. Broeckling, Corey Beecher, Chris Clay Davis, W. Dunn, Warwick B. Flores, Roberto Goodacre, Royston Gouveia, Gonçalo J. Harms, Amy C. Hartung, Thomas Jones, Christina M. Lewis, Matthew R. Ntai, Ioanna Percy, Andrew J. Raftery, Dan Schock, Tracey B. Sun, Jinchun Theodoridis, Georgios Tayyari, Fariba Torta, Federico Ulmer, Candice Z. Wilson, Ian Ubhi, Baljit K.
Abstract	IntroductionThe metabolomics quality assurance and quality control consortium (mQACC) is enabling the identification, development, prioritization, and promotion of suitable reference materials (RMs) to be used in quality assurance (QA) and quality control (QC) for untargeted metabolomics research.ObjectivesThis review aims to highlight current RMs, and methodologies used within untargeted metabolomics and lipidomics communities to ensure standardization of results obtained from data analysis, interpretation and cross-study, and cross-laboratory comparisons. The essence of the aims is also applicable to other ‘omics areas that generate high dimensional data.ResultsThe potential for game-changing biochemical discoveries through mass spectrometry-based (MS) untargeted metabolomics and lipidomics are predicated on the evolution of more confident qualitative (and eventually quantitative) results from research laboratories. RMs are thus critical QC tools to be able to assure standardization, comparability, repeatability and reproducibility for untargeted data analysis, interpretation, to compare data within and across studies and across multiple laboratories. Standard operating procedures (SOPs) that promote, describe and exemplify the use of RMs will also improve QC for the metabolomics and lipidomics communities.ConclusionsThe application of RMs described in this review may significantly improve data quality to support metabolomics and lipidomics research. The continued development and deployment of new RMs, together with interlaboratory studies and educational outreach and training, will further promote sound QA practices in the community.
Related Links	https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC8994740&blobtype=pdf
ISSN	15733882
Journal	Metabolomics
Volume Number	18
DOI	10.1007/s11306-021-01848-6
PubMed Central reference number	PMC8994740
Issue Number	4
PubMed reference number	35397018
e-ISSN	15733890
Language	English
Publisher	Springer US
Publisher Date	2022-04-09
Publisher Place	New York
Access Restriction	Open
Rights License	Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2022
Subject Keyword	Reference materials Certified reference materials Internal standards Untargeted analysis Mass spectrometry Metabolomics Lipidomics Metabolomics quality assurance and quality control consortium (mQACC)
Content Type	Text
Resource Type	Article
Subject	Endocrinology, Diabetes and Metabolism Clinical Biochemistry Biochemistry