Literature DB >> 23465127

Liquid chromatography tandem mass spectrometry study of urinary nucleosides as potential cancer markers.

Wiktoria Struck1, Danuta Siluk, Arlette Yumba-Mpanga, Marcin Markuszewski, Roman Kaliszan, Michał Jan Markuszewski.   

Abstract

The aim of this work was a comprehensive analysis of metabolite profiles of nucleosides from biological samples obtained from patients with urogenital cancer disease as well as an interpretation of cancer-related patterns of the analyzed profiles. In our study we proposed a targeted approach that was focused on the simultaneous determination of twelve nucleosides from over a hundred urine samples. For analytes' quantification high performance liquid chromatography technique hyphenated with tripple quadrupole mass spectrometer was applied. The developed method was validated in terms of linearity, precision, accuracy as well as in terms of limit of quantification and limit of detection. The obtained, normalized data set was analyzed using univariate statistical analysis. The achieved results revealed statistically significant (p<0.05) differences between levels of five nucleosides determined in urine samples from cancer patients and healthy volunteers, namely: 6-methyladenosine, inosine, N-2-methylguanosine, 3-methyluridine and N,N-dimethylguanosine. Basing on the putative markers we built the discrimination models using partial least squares discriminant analysis as well as K-nearest neighbor method. The sensitivity and specificity of the markers calculated from the obtained models were in the range of 61.9-88.89% and 27.78-50%, respectively. The proposed procedure can be considered as a holistic approach for metabolites' analysis and includes clinical, analytical and bioinformatics sections.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23465127     DOI: 10.1016/j.chroma.2013.01.111

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  9 in total

1.  Extraction of nucleobases, nucleosides and nucleotides by employing a magnetized graphene oxide functionalized with hydrophilic phytic acid and titanium(IV) ions.

Authors:  Qian Zhang; Dong-Dong Zhou; Fan Li; Yin-Zhen Wang; Feng-Qing Yang
Journal:  Mikrochim Acta       Date:  2019-02-15       Impact factor: 5.833

2.  Effect of Supplementation on Levels of Homovanillic and Vanillylmandelic Acids in Children with Autism Spectrum Disorders.

Authors:  Paulina Gątarek; Joanna Kałużna-Czaplińska
Journal:  Metabolites       Date:  2022-05-09

3.  Analysis of Nucleosides in Municipal Wastewater by Large-Volume Liquid Chromatography Tandem Mass Spectrometry.

Authors:  Alex J Brewer; Craig Lunte
Journal:  Anal Methods       Date:  2015-07-07       Impact factor: 2.896

4.  A study of the effects of exercise on the urinary metabolome using normalisation to individual metabolic output.

Authors:  Evangelia Daskalaki; Gavin Blackburn; Gabriela Kalna; Tong Zhang; Nahoum Anthony; David G Watson
Journal:  Metabolites       Date:  2015-02-27

Review 5.  The Potential of Metabolomics in Biomedical Applications.

Authors:  Vanessa Gonzalez-Covarrubias; Eduardo Martínez-Martínez; Laura Del Bosque-Plata
Journal:  Metabolites       Date:  2022-02-19

6.  Understanding Parahydrogen Hyperpolarized Urine Spectra: The Case of Adenosine Derivatives.

Authors:  Kerti Ausmees; Nele Reimets; Indrek Reile
Journal:  Molecules       Date:  2022-01-26       Impact factor: 4.411

7.  Molecular signature of renal cell carcinoma by means of a multiplatform metabolomics analysis.

Authors:  Marta Kordalewska; Renata Wawrzyniak; Julia Jacyna; Joanna Godzień; Ángeles López Gonzálves; Joanna Raczak-Gutknecht; Marcin Markuszewski; Piotr Gutknecht; Marcin Matuszewski; Janusz Siebert; Coral Barbas; Michał J Markuszewski
Journal:  Biochem Biophys Rep       Date:  2022-08-04

8.  Urinary nucleosides as biomarkers of breast, colon, lung, and gastric cancer in Taiwanese.

Authors:  Wei-Yi Hsu; Chao-Jung Chen; Yu-Chuen Huang; Fuu-Jen Tsai; Long-Bin Jeng; Chien-Chen Lai
Journal:  PLoS One       Date:  2013-12-19       Impact factor: 3.240

9.  Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis.

Authors:  Bo Li; Jing Tang; Qingxia Yang; Xuejiao Cui; Shuang Li; Sijie Chen; Quanxing Cao; Weiwei Xue; Na Chen; Feng Zhu
Journal:  Sci Rep       Date:  2016-12-13       Impact factor: 4.379

  9 in total

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