Data-dependent normalization strategies for untargeted metabolomics—a case study-Reference-Cited by-同舟云学术

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Data-dependent normalization strategies for untargeted metabolomics—a case study

Published:2020-04-14 Issue:24 Volume:412 Page:6391-6405
ISSN:1618-2642
Container-title:Analytical and Bioanalytical Chemistry
language:en
Short-container-title:Anal Bioanal Chem

Author:

Cuevas-Delgado Paula,Dudzik Danuta,Miguel Verónica,Lamas Santiago,Barbas Coral

Funder

Ministerio de Economía y Competitividad

Comunidad de Madrid

Ministerio de Ciencia, Innovación y Universidades

European Regional Development Fund and Instituto de Salud Carlos III

Publisher

Springer Science and Business Media LLC

Subject

Biochemistry,Analytical Chemistry

Link

https://link.springer.com/content/pdf/10.1007/s00216-020-02594-9.pdf

Reference44 articles.

1. Gagnebin Y, Boccard J, Ponte B, Rudaz S. Metabolomics in chronic kidney disease: strategies for extended metabolome coverage. J Pharm Biomed Anal. 2018;161:313–25. https://doi.org/10.1016/j.jpba.2018.08.046.

2. Perales-Quintana MM, Saucedo AL, Lucio-Gutiérrez JR, Waksman N, Alarcon-Galvan G, Govea-Torres G, et al. Metabolomic and biochemical characterization of a new model of the transition of acute kidney injury to chronic kidney disease induced by folic acid. PeerJ. 2019;7:1–26. https://doi.org/10.7717/peerj.7113.

3. Kimura T, Yasuda K, Yamamoto R, Soga T, Rakugi H, Hayashi T, et al. Identification of biomarkers for development of end-stage kidney disease in chronic kidney disease by metabolomic profiling. Sci Rep. 2016. https://doi.org/10.1038/srep26138.

4. Kordalewska M, Macioszek S, Wawrzyniak R, Sikorska-Wiśniewska M, Śledziński T, Chmielewski M, et al. Multiplatform metabolomics provides insight into the molecular basis of chronic kidney disease. J Chromatogr B Anal Technol Biomed Life Sci. 2019;1117:49–57. https://doi.org/10.1016/j.jchromb.2019.04.003.

5. Zhang ZH, He JQ, Qin WW, Zhao YY, Tan NH. Biomarkers of obstructive nephropathy using a metabolomics approach in rat. Chem Biol Interact. 2018:229–39. https://doi.org/10.1016/j.cbi.2018.10.004.

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