Literature DB >> 15765478

Discovery of biomarkers in human urine and cerebrospinal fluid by capillary electrophoresis coupled to mass spectrometry: towards new diagnostic and therapeutic approaches.

Stefan Wittke1, Harald Mischak, Michael Walden, Walter Kolch, Thomas Rädler, Klaus Wiedemann.   

Abstract

We report on our results using capillary electrophoresis coupled to mass spectrometry (CE-MS) to examine human bodyfluids. To demonstrate the versatility of this approach, data on two different bodyfluids, urine and cerebrospinal fluid, are shown. CE-MS analysis of human urine enables the identification of a series of polypeptides which serve as biomarkers for a variety of different renal diseases. The polypeptides are utilized to generate disease-specific polypeptide patterns. Diagnosis of these diseases is possible based on these polypeptide patters. Further, due to the high mass accuracy, polypeptides of interest can subsequently be identified using tandem MS (MS/MS) analysis. The patterns, which are based on distinct polypeptides, allow differentiation of even similar diseases like focal-segmental glomerulosclerosis (FSGS) and minimal change disease (MCD). We present preliminary data suggesting that the indicative polypeptides also enable to evaluate therapy success. Initial data obtained on human cerebrospinal fluid strongly suggest that CE-MS analysis of low-molecular-weight proteins and peptides reveals several potential biomarkers for schizophrenia as well as Alzheimer's disease. In conclusion, the data presented here indicate that CE-MS analysis, applied towards different human bodyfluids, holds the promise to allow diagnosis, staging, and evaluation of therapy success of a large number of diseases, due to its ability to display ca. 1000 individual native polypeptides within ca. 60 min.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15765478     DOI: 10.1002/elps.200410140

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  23 in total

1.  An integrated microfluidic chip for immunocapture, preconcentration and separation of β-amyloid peptides.

Authors:  Reza M Mohamadi; Zuzana Svobodova; Zuzana Bilkova; Markus Otto; Myriam Taverna; Stephanie Descroix; Jean-Louis Viovy
Journal:  Biomicrofluidics       Date:  2015-10-01       Impact factor: 2.800

2.  Identification and validation of urinary biomarkers for differential diagnosis and evaluation of therapeutic intervention in anti-neutrophil cytoplasmic antibody-associated vasculitis.

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

3.  Proteomic profiling of posterior longitudinal ligament of cervical spine.

Authors:  Ying Zhang; Baifeng Liu; Jiang Shao; Jia Song; Jing Zhang
Journal:  Int J Clin Exp Med       Date:  2015-04-15

Review 4.  Current state of the art for enhancing urine biomarker discovery.

Authors:  Michael Harpole; Justin Davis; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2016-06       Impact factor: 3.940

5.  Comprehensive human urine standards for comparability and standardization in clinical proteome analysis.

Authors:  Harald Mischak; Walter Kolch; Michalis Aivaliotis; David Bouyssié; Magali Court; Hassan Dihazi; Gry H Dihazi; Julia Franke; Jérôme Garin; Anne Gonzalez de Peredo; Alexander Iphöfer; Lothar Jänsch; Chrystelle Lacroix; Manousos Makridakis; Christophe Masselon; Jochen Metzger; Bernard Monsarrat; Michal Mrug; Martin Norling; Jan Novak; Andreas Pich; Andrew Pitt; Erik Bongcam-Rudloff; Justyna Siwy; Hitoshi Suzuki; Visith Thongboonkerd; Li-Shun Wang; Jérôme Zoidakis; Petra Zürbig; Joost P Schanstra; Antonia Vlahou
Journal:  Proteomics Clin Appl       Date:  2010-02-03       Impact factor: 3.494

6.  Sera proteomic biomarker profiling in HIV-1 infected subjects with cognitive impairment.

Authors:  Wojciech Rozek; Jayme Horning; James Anderson; Pawel Ciborowski
Journal:  Proteomics Clin Appl       Date:  2008-09-10       Impact factor: 3.494

7.  Urine biomarkers predict the cause of glomerular disease.

Authors:  Sanju A Varghese; T Brian Powell; Milos N Budisavljevic; Jim C Oates; John R Raymond; Jonas S Almeida; John M Arthur
Journal:  J Am Soc Nephrol       Date:  2007-02-14       Impact factor: 10.121

8.  Multicentre prospective validation of a urinary peptidome-based classifier for the diagnosis of type 2 diabetic nephropathy.

Authors:  Justyna Siwy; Joost P Schanstra; Angel Argiles; Stephan J L Bakker; Joachim Beige; Petr Boucek; Korbinian Brand; Christian Delles; Flore Duranton; Beatriz Fernandez-Fernandez; Marie-Luise Jankowski; Mohammad Al Khatib; Thomas Kunt; Maria Lajer; Ralf Lichtinghagen; Morten Lindhardt; David M Maahs; Harald Mischak; William Mullen; Gerjan Navis; Marina Noutsou; Alberto Ortiz; Frederik Persson; John R Petrie; Johannes M Roob; Peter Rossing; Piero Ruggenenti; Ivan Rychlik; Andreas L Serra; Janet Snell-Bergeon; Goce Spasovski; Olivera Stojceva-Taneva; Matias Trillini; Heiko von der Leyen; Brigitte M Winklhofer-Roob; Petra Zürbig; Joachim Jankowski
Journal:  Nephrol Dial Transplant       Date:  2014-03-02       Impact factor: 5.992

9.  The human urinary proteome reveals high similarity between kidney aging and chronic kidney disease.

Authors:  Petra Zürbig; Stéphane Decramer; Mohammed Dakna; Justyna Jantos; David M Good; Joshua J Coon; Flavio Bandin; Harald Mischak; Jean-Loup Bascands; Joost P Schanstra
Journal:  Proteomics       Date:  2009-04       Impact factor: 3.984

10.  Evaluation of urinary biomarkers for coronary artery disease, diabetes, and diabetic kidney disease.

Authors:  Janet K Snell-Bergeon; David M Maahs; Lorraine G Ogden; Gregory L Kinney; John E Hokanson; Eric Schiffer; Marian Rewers; Harald Mischak
Journal:  Diabetes Technol Ther       Date:  2009-01       Impact factor: 6.118

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.