Literature DB >> 18988752

Novel automated biomarker discovery work flow for urinary peptidomics.

Crina I Balog1, Paul J Hensbergen, Rico Derks, Jaco J Verweij, Govert J van Dam, Birgitte J Vennervald, André M Deelder, Oleg A Mayboroda.   

Abstract

BACKGROUND: Urine is potentially a rich source of peptide biomarkers, but reproducible, high-throughput peptidomic analysis is often hampered by the inherent variability in factors such as pH and salt concentration. Our goal was to develop a generally applicable, rapid, and robust method for screening large numbers of urine samples, resulting in a broad spectrum of native peptides, as a tool to be used for biomarker discovery.
METHODS: Peptide samples were trapped, desalted, pH-normalized, and fractionated on a miniaturized automatic reverse-phase strong cation exchange (RP-SCX) cartridge system. We analyzed eluted peptides using MALDI-TOF, Fourier transform ion cyclotron resonance, and liquid chromatography-iontrap mass spectrometry. We determined qualitative and quantitative reproducibility of the system and robustness of the method using BSA digests and urine samples, and we used a selected set of urine samples from Schistosoma haematobium-infected individuals to evaluate clinical applicability.
RESULTS: The automated RP-SCX sample cleanup and fractionation system exhibits a high qualitative and quantitative reproducibility, with both BSA standards and urine samples. Because of the relatively high cartridge binding capacity (1-2 mL urine), eluted peptides can be measured with high sensitivity using multiple mass spectrometric techniques. As proof of principle, hemoglobin-derived peptides were identified in urine samples from S. haematobium-infected individuals, even when the microhematuria test was negative.
CONCLUSIONS: We present a practical, step-by-step method for screening and identification of urinary peptides. Alongside the analytical method evaluation on standard samples, we demonstrate its feasibility with actual clinical material.

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Year:  2008        PMID: 18988752     DOI: 10.1373/clinchem.2008.108795

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  4 in total

1.  "Lossless" compression of high resolution mass spectra of small molecules.

Authors:  Bo Blanckenburg; Yuri E M van der Burgt; André M Deelder; Magnus Palmblad
Journal:  Metabolomics       Date:  2010-03-07       Impact factor: 4.290

2.  Identification of Low Molecular Weight Proteins and Peptides from Schistosoma mekongi Worm, Egg and Infected Mouse Sera.

Authors:  Tipparat Thiangtrongjit; Nattapon Simanon; Poom Adisakwattana; Yanin Limpanont; Phiraphol Chusongsang; Yupa Chusongsang; Onrapak Reamtong
Journal:  Biomolecules       Date:  2021-04-11

Review 3.  Emerging biomarkers and metabolomics for assessing toxic nephropathy and acute kidney injury (AKI) in neonatology.

Authors:  M Mussap; A Noto; V Fanos; J N Van Den Anker
Journal:  Biomed Res Int       Date:  2014-06-11       Impact factor: 3.411

4.  Urinary signatures of Renal Cell Carcinoma investigated by peptidomic approaches.

Authors:  Clizia Chinello; Marta Cazzaniga; Gabriele De Sio; Andrew James Smith; Erica Gianazza; Angelica Grasso; Francesco Rocco; Stefano Signorini; Marco Grasso; Silvano Bosari; Italo Zoppis; Mohammed Dakna; Yuri E M van der Burgt; Giancarlo Mauri; Fulvio Magni
Journal:  PLoS One       Date:  2014-09-09       Impact factor: 3.240

  4 in total

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