Literature DB >> 25871999

A high-performance liquid chromatography-tandem mass spectrometry-based targeted metabolomics kidney dysfunction marker panel in human urine.

Jacek Klepacki1, Jost Klawitter2, Jelena Klawitter3, Joshua M Thurman4, Uwe Christians2.   

Abstract

BACKGROUND: Previous studies have examined and documented fluctuations in urine metabolites in response to disease processes and drug toxicity affecting glomerular filtration, tubule cell metabolism, reabsorption, oxidative stress, purine degradation, active secretion and kidney amino acylase activity representative of diminished renal function. However, a high-throughput assay that incorporates metabolites that are surrogate markers for such changes into a kidney dysfunction panel has yet to be described.
METHODS: A high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) assay for the quantification of ten metabolites associated with the Krebs cycle, purine degradation, and oxidative stress in human urine was developed and validated. Normal values were assessed in healthy adult (n=120) and pediatric (n=36) individuals. In addition, 9 pediatric renal transplant recipients patients were evaluated before and after initial dosing of the immunosuppressant tacrolimus in a proof-of-concept study.
RESULTS: The assay met all predefined acceptance criteria. The lower limit of quantification ranged from 0.1 to 1000 μmol/l. Inter-day trueness and imprecisions ranged from 91.4-112.9% and 1.5-12.4%, respectively. The total assay run time was 5.5 minutes. Concentrations of glucose, sorbitol, and trimethylamine oxide (TMAO) were elevated in pediatric renal transplant patients (n=9) prior to transplantation as well as before and immediately after initial dosing of tacrolimus. One month post-transplant urine metabolite patterns matched those of healthy children (n=36).
CONCLUSIONS: The LC-MS/MS assay will provide the basis for further large-scale clinical studies to explore these analytes as molecular markers for the patients with renal insufficiency.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  High-performance liquid chromatography- tandem mass spectrometry (HPLC-MS/MS); Kidney dysfunction markers; Normal values; Tacrolimus nephrotoxicity; Urine metabolomics

Mesh:

Substances:

Year:  2015        PMID: 25871999      PMCID: PMC6028022          DOI: 10.1016/j.cca.2015.04.005

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  26 in total

Review 1.  Metabolomics: the principles and potential applications to transplantation.

Authors:  D S Wishart
Journal:  Am J Transplant       Date:  2005-12       Impact factor: 8.086

Review 2.  Analysis of polar metabolites by hydrophilic interaction chromatography--MS/MS.

Authors:  Wenying Jian; Yaodong Xu; Richard W Edom; Naidong Weng
Journal:  Bioanalysis       Date:  2011-04       Impact factor: 2.681

3.  Simultaneous determination of creatinine and uric acid in urine by liquid chromatography-tandem mass spectrometry with polarity switching electrospray ionization.

Authors:  Woonyong Kwon; Jin Young Kim; Sungill Suh; Moon Kyo In
Journal:  Forensic Sci Int       Date:  2012-04-12       Impact factor: 2.395

4.  Highly sensitive GC/MS/MS method for quantitation of amino and nonamino organic acids.

Authors:  Hans F N Kvitvang; Trygve Andreassen; Tomas Adam; Silas G Villas-Bôas; Per Bruheim
Journal:  Anal Chem       Date:  2011-03-09       Impact factor: 6.986

5.  Urinary metabonomics study on biochemical changes in an experimental model of chronic renal failure by adenine based on UPLC Q-TOF/MS.

Authors:  Ying-Yong Zhao; Jing Liu; Xian-Long Cheng; Xu Bai; Rui-Chao Lin
Journal:  Clin Chim Acta       Date:  2011-12-24       Impact factor: 3.786

6.  H-NMR-based metabolic signatures of mild and severe ischemia/reperfusion injury in rat kidney transplants.

Authors:  Natalie Serkova; T Florian Fuller; Jost Klawitter; Chris E Freise; Claus U Niemann
Journal:  Kidney Int       Date:  2005-03       Impact factor: 10.612

7.  Intrarenal metabolomic investigation of chronic kidney disease and its TGF-β1 mechanism in induced-adenine rats using UPLC Q-TOF/HSMS/MS(E).

Authors:  Ying-Yong Zhao; Xian-Long Cheng; Feng Wei; Xu Bai; Xiao-Jie Tan; Rui-Chao Lin; Qibing Mei
Journal:  J Proteome Res       Date:  2013-01-10       Impact factor: 4.466

Review 8.  Proteomics and metabolomics in renal transplantation-quo vadis?

Authors:  Rahul Bohra; Jacek Klepacki; Jelena Klawitter; Jost Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Transpl Int       Date:  2012-11-21       Impact factor: 3.782

9.  ZAC1 is up-regulated by hypertonicity and decreases sorbitol dehydrogenase expression, allowing accumulation of sorbitol in kidney cells.

Authors:  Miguel A Lanaspa; Ana Andres-Hernando; Christopher J Rivard; Yue Dai; Nanxing Li; Tomas Berl
Journal:  J Biol Chem       Date:  2009-05-07       Impact factor: 5.157

Review 10.  Metabolomics in chronic kidney disease.

Authors:  Ying-Yong Zhao
Journal:  Clin Chim Acta       Date:  2013-04-06       Impact factor: 3.786

View more
  5 in total

Review 1.  Advances in Detection of Kidney Transplant Injury.

Authors:  Sanjeeva Herath; Jonathan Erlich; Amy Y M Au; Zoltán H Endre
Journal:  Mol Diagn Ther       Date:  2019-06       Impact factor: 4.074

2.  The Use of Machine Learning Algorithms and the Mass Spectrometry Lipidomic Profile of Serum for the Evaluation of Tacrolimus Exposure and Toxicity in Kidney Transplant Recipients.

Authors:  Dan Burghelea; Tudor Moisoiu; Cristina Ivan; Alina Elec; Adriana Munteanu; Ștefania D Iancu; Anamaria Truta; Teodor Paul Kacso; Oana Antal; Carmen Socaciu; Florin Ioan Elec; Ina Maria Kacso
Journal:  Biomedicines       Date:  2022-05-17

Review 3.  Biomarkers in Transplantation--Proteomics and Metabolomics.

Authors:  Uwe Christians; Jelena Klawitter; Jost Klawitter
Journal:  Ther Drug Monit       Date:  2016-04       Impact factor: 3.681

4.  Establishment of a Method for Measuring Antioxidant Capacity in Urine, Based on Oxidation Reduction Potential and Redox Couple I2/KI.

Authors:  Tinghui Cao; Min He; Tianyu Bai; Hui Liu
Journal:  Bioinorg Chem Appl       Date:  2016-12-27       Impact factor: 7.778

5.  Sorbitol accumulation decreases oocyte quality in aged mice by altering the intracellular redox balance.

Authors:  Yuexin Zhang; Zhengjie Yan; Hanwen Liu; Lingjun Li; Chun Yuan; Lianju Qin; Lingbo Cai; Jiayin Liu; Yanqiu Hu; Yugui Cui
Journal:  Aging (Albany NY)       Date:  2021-12-12       Impact factor: 5.682

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.