BACKGROUND: Proteomics applied in large scale may provide a useful diagnostic tool. METHODS: We developed an online combination of capillary electrophoresis with mass spectrometry, allowing fast and sensitive evaluation of polypeptides found in body fluids. Utilizing this technology, polypeptide patterns from urine are established within 45 minutes. About 900 to 2500 polypeptides as well as their concentrations are detected in individual urine samples without the need for specific reagents such as antibodies. To test this method for clinical application, we examined spot urine samples from 57 healthy individuals, 16 patients with minimal change disease (MCD), 18 patients with membranous glomerulonephritis (MGN), and 10 patients with focal segmental glomerulosclerosis (FSGS). RESULTS: One-hundred seventy-three polypeptides were present in more than 90% of the urine samples obtained from healthy individuals, while 690 polypeptides were present with more than 50% probability. These data permitted the establishment of a "normal" polypeptide pattern in healthy individuals. Polypeptides found in the urine of patients differed significantly from the normal controls. These differences allowed the distinction of specific protein spectra in patients with different primary renal diseases. Abnormal pattern of proteins were found even in urine from patients in clinical remission. CONCLUSION: The data indicate that capillary electrophoresis with mass spectrometry coupling provides a promising tool that permits fast and accurate identification and differentiation of protein patterns in body fluids of healthy and diseased individuals, thus enabling diagnosis based on these patterns.
BACKGROUND: Proteomics applied in large scale may provide a useful diagnostic tool. METHODS: We developed an online combination of capillary electrophoresis with mass spectrometry, allowing fast and sensitive evaluation of polypeptides found in body fluids. Utilizing this technology, polypeptide patterns from urine are established within 45 minutes. About 900 to 2500 polypeptides as well as their concentrations are detected in individual urine samples without the need for specific reagents such as antibodies. To test this method for clinical application, we examined spot urine samples from 57 healthy individuals, 16 patients with minimal change disease (MCD), 18 patients with membranous glomerulonephritis (MGN), and 10 patients with focal segmental glomerulosclerosis (FSGS). RESULTS: One-hundred seventy-three polypeptides were present in more than 90% of the urine samples obtained from healthy individuals, while 690 polypeptides were present with more than 50% probability. These data permitted the establishment of a "normal" polypeptide pattern in healthy individuals. Polypeptides found in the urine of patients differed significantly from the normal controls. These differences allowed the distinction of specific protein spectra in patients with different primary renal diseases. Abnormal pattern of proteins were found even in urine from patients in clinical remission. CONCLUSION: The data indicate that capillary electrophoresis with mass spectrometry coupling provides a promising tool that permits fast and accurate identification and differentiation of protein patterns in body fluids of healthy and diseased individuals, thus enabling diagnosis based on these patterns.
Authors: Sylvia Borchers; Elena Provasi; Anna Silvani; Marina Radrizzani; Claudia Benati; Elke Dammann; Annika Krons; Julia Kontsendorn; Joerg Schmidtke; Wolfgang Kuehnau; Nils von Neuhoff; Michael Stadler; Fabio Ciceri; Chiara Bonini; Arnold Ganser; Bernd Hertenstein; Eva M Weissinger Journal: Hum Gene Ther Date: 2011-03-30 Impact factor: 5.695
Authors: Marion Haubitz; David M Good; Alexander Woywodt; Hermann Haller; Harald Rupprecht; Dan Theodorescu; Mohammed Dakna; Joshua J Coon; Harald Mischak Journal: Mol Cell Proteomics Date: 2009-06-28 Impact factor: 5.911
Authors: Pedro Magalhães; Joost P Schanstra; Emma Carrick; Harald Mischak; Petra Zürbig Journal: Expert Rev Proteomics Date: 2016-11-15 Impact factor: 3.940
Authors: Steven L Wood; Margaret A Knowles; Douglas Thompson; Peter J Selby; Rosamonde E Banks Journal: Nat Rev Urol Date: 2013-02-26 Impact factor: 14.432