A comparison between MALDI-MS and CE-MS data for biomarker assessment in chronic kidney diseases

Molin, L. et al. (2012) A comparison between MALDI-MS and CE-MS data for biomarker assessment in chronic kidney diseases. Journal of Proteomics, 75(18), pp. 5888-5897. (doi: 10.1016/j.jprot.2012.07.024)

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Publisher's URL: http://dx.doi.org/10.1016/j.jprot.2012.07.024


<p>Non-invasive detection of diseases, based on urinary proteomics, is becoming an increasingly important area of research, especially in the area of chronic kidney disease (CKD). Different platforms have been used in independent studies, mostly capillary-electrophoresis coupled ESI-MS (CE-MS), liquid chromatography coupled mass spectrometry, and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). We have compared the performance of CE-MS with MALDI-MS in detecting CKD, based on a cohort of 137 urine samples (62 cases and 75 controls). Data cross-talk between the two platforms was established for the comparison of detected biomarkers. The results demonstrate superior performance of the CE-MS approach in terms of peptide resolution and obtained disease prediction accuracy rates. However, the data also demonstrate the ability of the MALDI-MS approach to separate CKD patients from controls, at slightly reduced accuracy, but expected reduced cost and time.</p> <p>As a consequence, a practical approach can be foreseen where MALDI-MS is employed as an inexpensive, fast, and robust screening tool to detect probable CKD. In a second step, high resolution CE-MS could be used in those patients only that scored negative for CKD in the MALDI-MS analysis, reducing costs and time of such a program.</p>

Item Type:Articles
Glasgow Author(s) Enlighten ID:Albalat, Dr Amaya and Mischak, Professor Harald
Authors: Molin, L., Seraglia, R., Lapolla, A., Ragazzi, E., Gonzalez, J., Vlahou, A., Schanstra, J.P., Albalat, A., Dakna, M., Siwy, J., Jankowski, J., Bitsika, V., Mischak, H., Zürbig, P., and Traldi, P.
College/School:College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
Journal Name:Journal of Proteomics
ISSN (Online):1876-7737
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
546181Development of an efficient, robust MS-based platform for early detection of acute kidney injuryHarald MischakMedical Research Council (MRC)G1000791RI CARDIOVASCULAR & MEDICAL SCIENCES