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

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.ORCID

Abstract

Abstract Introduction The 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. Objectives This 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. Results The 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. Conclusions The 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.

Publisher

Springer Science and Business Media LLC

Subject

Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism

Reference127 articles.

1. Acera, A., Pereiro, X., Abad-Garcia, B., Rueda, Y., Ruzafa, N., Santiago, C., Barbolla, I., Duran, J. A., Ochoa, B., & Vecino, E. (2019). A simple and reproducible method for quantification of human tear lipids with ultrahigh-performance liquid chromatography-mass spectrometry. Molecular Vision, 25, 934–948.

2. Aden, K., Rehman, A., Waschina, S., Pan, W. H., Walker, A., Lucio, M., Nunez, A. M., Bharti, R., Zimmerman, J., Bethge, J., Schulte, B., Schulte, D., Franke, A., Nikolaus, S., Schroeder, J. O., Vandeputte, D., Raes, J., Szymczak, S., Waetzig, G. H., & Rosenstiel, P. (2019). Metabolic functions of gut microbes associate with efficacy of tumor necrosis factor antagonists in patients with inflammatory bowel diseases. Gastroenterology, 157, 1279-1292.e11. https://doi.org/10.1053/j.gastro.2019.07.025

3. Agatonovic-Kustrin, S., Morton, D. W., Smirnov, V., Petukhov, A., Gegechkori, V., Kuzina, V. N., Gorpinchenko, N., & Ramenskaya, G. (2019). Analytical strategies in lipidomics for discovery of functional biomarkers from human saliva. Disease Markers, 2019, 6741518. https://doi.org/10.1155/2019/6741518

4. Alseekh, S., Aharoni, A., Brotman, Y., Contrepois, K., D’Auria, J., Ewald, J., Ewald, C. J., Fraser, P. D., Giavalisco, P., Hall, R. D., Heinemann, M., Link, H., Luo, J., Neumann, S., Nielsen, J., Perez Souza, L., Saito, K., Sauer, U., Schroeder, F. C.,…Fernie, A. R. (2021). Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices. Nature Methods, 18(7), 747–756. https://doi.org/10.1038/s41592-021-01197-1

5. Aristizabal-Henao, J. J., Jones, C. M., Lippa, K. A., & Bowden, J. A. (2020). Nontargeted lipidomics of novel human plasma reference materials: Hypertriglyceridemic, diabetic, and African-American. Analytical and Bioanalytical Chemistry, 412, 7373–7380. https://doi.org/10.1007/s00216-020-02910-3

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3