Literature DB >> 18657436

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

Dino Bullinger1, Richard Fux, Graeme Nicholson, Stefan Plontke, Claus Belka, Stefan Laufer, Christoph H Gleiter, Bernd Kammerer.   

Abstract

The physiological response of the human body to several diseases can be reflected by the metabolite pattern in biological fluids. Cancer, like other diseases accompanied by metabolic disorders, causes characteristic effects on cell turnover rate, activity of modifying enzymes, and RNA/DNA modifications. This results in an altered excretion of modified nucleosides and biochemically related compounds. In the course of our metabolic profiling project, we screened 24-h urine of patients suffering from lung, rectal, or head and neck cancer for previously unknown ribosylated metabolites. Therefore, we developed a sample preparation procedure based on boronate affinity chromatography followed by additional prepurification with preparative TLC. The isolated metabolites were analyzed by ion trap mass spectrometry (IT MS) and Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS). IT MS was applied for LC-auto MS(3) screening runs and MS(n(n=4-6)) syringe pump infusion experiments, yielding characteristic fragmentation patterns. FTICR MS measurements enabled the calculation of corresponding molecular formulae based on accurate mass determination (mass accuracy: 1-5 ppm for external and sub-ppm values for internal calibration). We were able to identify 22 metabolites deriving from cellular RNA metabolism and related metabolic pathways like histidine metabolism, purine biosynthesis, methionine/polyamine cycle, and nicotinate/nicotinamide metabolism. The compounds 1-ribosyl-3-hydroxypyridinium, 1-ribosyl-pyridinium, and 3-ribosyl-1-methyl-l-histidinium as well as a series of ribosylated histamines, conjugated to carboxylic acids at the N(omega)-position were found as novel urinary constituents. The occurrence of the modified nucleosides 2-methylthio-N(6)-(cis-hydroxyisopentenyl)-adenosine, 5-methoxycarbonylmethyl-2-thiouridine, N(6)-methyl-N(6)-threonylcarbamoyladenosine, and 2-methylthio-N(6)-threonylcarbamoyladenosine in human urine is verified for the first time.

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Year:  2008        PMID: 18657436     DOI: 10.1016/j.jasms.2008.06.015

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  38 in total

1.  Metabolomic applications of electrochemistry/mass spectrometry.

Authors:  Paul H Gamache; David F Meyer; Michael C Granger; Ian N Acworth
Journal:  J Am Soc Mass Spectrom       Date:  2004-12       Impact factor: 3.109

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.  Metabolomics: The greatest omics of them all?

Authors:  Danielle Ryan; Kevin Robards
Journal:  Anal Chem       Date:  2006-12-01       Impact factor: 6.986

4.  Incorporating genomics into the cancer clinical trial process.

Authors:  S Paik
Journal:  Semin Oncol       Date:  2001-06       Impact factor: 4.929

5.  Use of biological fluids for the rapid diagnosis of potentially lethal inherited disorders of human purine and pyrimidine metabolism.

Authors:  G S Morris; H A Simmonds; P M Davies
Journal:  Biomed Chromatogr       Date:  1986-06       Impact factor: 1.902

6.  Gas chromatographic analysis of urinary tyrosine and phenylalanine metabolites in patients with gastrointestinal disorders.

Authors:  C van der Heiden; E A Wauters; M Duran; S K Wadman; D Ketting
Journal:  Clin Chim Acta       Date:  1971-09       Impact factor: 3.786

7.  Mass spectrometric identification of modified urinary nucleosides used as potential biomedical markers by LC-ITMS coupling.

Authors:  Bernd Kammerer; Antje Frickenschmidt; Christa E Müller; Stefan Laufer; Christoph H Gleiter; Hartmut Liebich
Journal:  Anal Bioanal Chem       Date:  2005-05-19       Impact factor: 4.142

Review 8.  Proteomic cancer classification with mass spectrometry data.

Authors:  Jagath C Rajapakse; Kai-Bo Duan; Wee Kiang Yeo
Journal:  Am J Pharmacogenomics       Date:  2005

9.  Ammonia elimination from protonated nucleobases and related synthetic substrates.

Authors:  Ming Qian; Shuo Yang; Hong Wu; Papiya Majumdar; Nathan Leigh; Rainer Glaser
Journal:  J Am Soc Mass Spectrom       Date:  2007-09-01       Impact factor: 3.109

10.  Biological markers in breast carcinoma--clinical correlations with pseudouridine, N2,N2-dimethylguanosine, and 1-methylinosine.

Authors:  D C Tormey; T P Waalkes; C W Gehrke
Journal:  J Surg Oncol       Date:  1980       Impact factor: 3.454

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  6 in total

1.  Revisiting the reactivity of uracil during collision induced dissociation: tautomerism and charge-directed processes.

Authors:  Daniel G Beach; Wojciech Gabryelski
Journal:  J Am Soc Mass Spectrom       Date:  2012-02-14       Impact factor: 3.109

2.  A method for comprehensive analysis of urinary acylglycines by using ultra-performance liquid chromatography quadrupole linear ion trap mass spectrometry.

Authors:  Avalyn E Lewis-Stanislaus; Liang Li
Journal:  J Am Soc Mass Spectrom       Date:  2010-09-18       Impact factor: 3.109

Review 3.  The state-of-the-art determination of urinary nucleosides using chromatographic techniques "hyphenated" with advanced bioinformatic methods.

Authors:  Wiktoria Struck; Małgorzata Waszczuk-Jankowska; Roman Kaliszan; Michał J Markuszewski
Journal:  Anal Bioanal Chem       Date:  2011-02-27       Impact factor: 4.142

4.  Exometabolom analysis of breast cancer cell lines: Metabolic signature.

Authors:  Lucas Willmann; Thalia Erbes; Sebastian Halbach; Tilman Brummer; Markus Jäger; Marc Hirschfeld; Tanja Fehm; Hans Neubauer; Elmar Stickeler; Bernd Kammerer
Journal:  Sci Rep       Date:  2015-08-21       Impact factor: 4.379

5.  Boronate derivatives of functionally diverse catechols: stability studies.

Authors:  Kamal Aziz Ketuly; A Hamid A Hadi
Journal:  Molecules       Date:  2010-03-31       Impact factor: 4.411

6.  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

  6 in total

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