Plasma biomarker discovery for early chronic kidney disease diagnosis based on chemometric approaches using LC-QTOF targeted metabolomics data

Journal of Pharmaceutical and Biomedical Analysis
Sandra BenitoRamón J Barrio

Abstract

Chronic kidney disease (CKD) is a progressive pathological condition in which renal function deteriorates in time. The first diagnosis of CKD is often carried out in general care attention by general practitioners by means of serum creatinine (CNN) levels. However, it lacks sensitivity and thus, there is a need for new robust biomarkers to allow the detection of kidney damage particularly in early stages. Multivariate data analysis of plasma concentrations obtained from LC-QTOF targeted metabolomics method may reveal metabolites suspicious of being either up-regulated or down-regulated from urea cycle, arginine methylation and arginine-creatine metabolic pathways in CKD pediatrics and controls. The results show that citrulline (CIT), symmetric dimethylarginine (SDMA) and S-adenosylmethionine (SAM) are interesting biomarkers to support diagnosis by CNN: early CKD samples and controls were classified with an increase in classification accuracy of 18% when using these 4 metabolites compared to CNN alone. These metabolites together allow classification of the samples into a definite stage of the disease with an accuracy of 74%, being the 90% of the misclassifications one level above or below the CKD stage set by the nephrologists. ...Continue Reading

Citations

May 30, 2019·Biomarkers in Medicine·Shiva Kalantari, Mohsen Nafar
Aug 31, 2018·Pediatric Nephrology : Journal of the International Pediatric Nephrology Association·Hermine I BrunnerPrasad Devarajan
Jan 12, 2021·Metabolomics : Official Journal of the Metabolomic Society·Yuko YamaguchiRichard D Semba
Dec 26, 2021·Nature Protocols·Jianbo FuFeng Zhu

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