Literature DB >> 10095827

Urinary nucleosides.

K H Schram1.   

Abstract

The methods of analysis, origins, and clinical significance of urinary nucleosides are reviewed through 1997. Structures, chromatographic and mass spectral data and references to the clinical literature are presented for each of the 57 nucleosides currently identified in normal and pathogenic human urine samples. Data from the HPLC separation and GC/MS analysis of 37 individual HPLC fractions are presented and discussed. Methods, including sample preparation techniques, used for the analysis of urinary nucleosides including GC, HPLC, GC/MS, HPLC/MS and immunoassays are compared and the advantages and limitations of each method described. The conclusion is drawn that the urinary nucleosides do serve as biomarkers of cancer and other diseases, but analytical methods need further improvement if clinical decisions are to be made based on the levels of nucleosides in human urine.

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Year:  1998        PMID: 10095827     DOI: 10.1002/(SICI)1098-2787(1998)17:3<131::AID-MAS1>3.0.CO;2-O

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  12 in total

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Authors:  Jennifer A Stockert; Rachel Weil; Kamlesh K Yadav; Natasha Kyprianou; Ashutosh K Tewari
Journal:  Urol Oncol       Date:  2020-07-22       Impact factor: 3.498

2.  Intriguing mass spectrometric behavior of guanosine under low energy collision-induced dissociation: H2O adduct formation and gas-phase reactions in the collision cell.

Authors:  Robin Tuytten; Filip Lemière; Walter Van Dongen; Eddy L Esmans; Erwin Witters; Wouter Herrebout; Benjamin Van Der Veken; Ed Dudley; Russell P Newton
Journal:  J Am Soc Mass Spectrom       Date:  2005-08       Impact factor: 3.109

3.  MALDI-TOF MS analysis of urinary nucleosides.

Authors:  Bernd Kammerer; Antje Frickenschmidt; Christoph H Gleiter; Stefan Laufer; Hartmut Liebich
Journal:  J Am Soc Mass Spectrom       Date:  2005-04-20       Impact factor: 3.109

4.  Identification of urinary modified nucleosides and ribosylated metabolites in humans via combined ESI-FTICR MS and ESI-IT MS analysis.

Authors:  Dino Bullinger; Richard Fux; Graeme Nicholson; Stefan Plontke; Claus Belka; Stefan Laufer; Christoph H Gleiter; Bernd Kammerer
Journal:  J Am Soc Mass Spectrom       Date:  2008-06-28       Impact factor: 3.109

5.  Profile of Circulatory Metabolites in a Relapsing-remitting Animal Model of Multiple Sclerosis using Global Metabolomics.

Authors:  Ak Mangalam; Lm Poisson; E Nemutlu; I Datta; A Denic; P Dzeja; M Rodriguez; R Rattan; S Giri
Journal:  J Clin Cell Immunol       Date:  2013-06-30

6.  Simultaneous quantification of 12 different nucleotides and nucleosides released from renal epithelium and in human urine samples using ion-pair reversed-phase HPLC.

Authors:  Alberto Contreras-Sanz; Toby S Scott-Ward; Hardyal S Gill; Jennifer C Jacoby; Rebecca E Birch; James Malone-Lee; Kevin M G Taylor; Claire M Peppiatt-Wildman; Scott S P Wildman
Journal:  Purinergic Signal       Date:  2012-06-16       Impact factor: 3.765

7.  Molecularly Imprinted Composite Membranes for Selective Detection of 2-Deoxyadenosine in Urine Samples.

Authors:  Sonia Scorrano; Lucia Mergola; Maria Pia Di Bello; Maria Rosaria Lazzoi; Giuseppe Vasapollo; Roberta Del Sole
Journal:  Int J Mol Sci       Date:  2015-06-16       Impact factor: 5.923

8.  Profiling of cis-diol-containing nucleosides and ribosylated metabolites by boronate-affinity organic-silica hybrid monolithic capillary liquid chromatography/mass spectrometry.

Authors:  Han-Peng Jiang; Chu-Bo Qi; Jie-Mei Chu; Bi-Feng Yuan; Yu-Qi Feng
Journal:  Sci Rep       Date:  2015-01-14       Impact factor: 4.379

9.  Prediction of breast cancer by profiling of urinary RNA metabolites using Support Vector Machine-based feature selection.

Authors:  Carsten Henneges; Dino Bullinger; Richard Fux; Natascha Friese; Harald Seeger; Hans Neubauer; Stefan Laufer; Christoph H Gleiter; Matthias Schwab; Andreas Zell; Bernd Kammerer
Journal:  BMC Cancer       Date:  2009-04-05       Impact factor: 4.430

10.  Metabolic signature of breast cancer cell line MCF-7: profiling of modified nucleosides via LC-IT MS coupling.

Authors:  Dino Bullinger; Hans Neubauer; Tanja Fehm; Stefan Laufer; Christoph H Gleiter; Bernd Kammerer
Journal:  BMC Biochem       Date:  2007-11-29       Impact factor: 4.059

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