Metabolic implications of amino acid metabolites in chronic kidney disease progression: a metabolomics analysis using OPLS-DA and MBRole2.0 database
Author:
Funder
The Science and Technology Development Fund, Macau SAR
The National Natural Science Foundation of China
The Guangzhou Science and Technology Planning Project
Publisher
Springer Science and Business Media LLC
Subject
Urology,Nephrology
Link
https://link.springer.com/content/pdf/10.1007/s11255-023-03779-8.pdf
Reference39 articles.
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2. Chasapi SA, Karagkouni E, Kalavrizioti D, Vamvakas S, Zompra A, Takis PG, Goumenos DS, Spyroulias GA (2022) NMR-based metabolomics in differential diagnosis of chronic kidney disease (CKD) subtypes. Metabolites. https://doi.org/10.3390/metabo12060490
3. Kalim S, Rhee EP (2017) An overview of renal metabolomics. Kidney Int 91(1):61–69. https://doi.org/10.1016/j.kint.2016.08.021
4. Johnson CH, Ivanisevic J, Siuzdak G (2016) Metabolomics: beyond biomarkers and towards mechanisms. Nat Rev Mol Cell Biol 17(7):451–459. https://doi.org/10.1038/nrm.2016.25
5. Hocher B, Adamski J (2017) Metabolomics for clinical use and research in chronic kidney disease. Nat Rev Nephrol 13(5):269–284. https://doi.org/10.1038/nrneph.2017.30
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