Protein pattern diagnostics

The protein pattern diagnostics ( synonym : proteome analysis) is not established, a new, non-invasive diagnostic procedures in medicine. With the help of capillary electrophoresis coupled with mass spectrometry (CE-MS technology), a proteome pattern is created from urine and also from blood plasma . This allows disease-specific changes in polypeptides to be recognized and evaluated as diagnostic biomarkers . The sensitivity of the examination is over 90% and the specificity of 80–90% is quite high.

Test systems are available for urine diagnostics for the following diseases:

Prostate cancer
Bladder cancer
Chronic kidney disease (differentiated from Minimal Change Disease (MCD), Membranous Glomerulonephritis (MNGN), Focal Segmental Glomerulosclerosis (FSGS), Immunoglobulin A Nephropathy (IgA Nephropathy), Lupropathy Nephritis (SLE), Vascular Nephropathies
arteriosclerosis

The diagnostic method is currently not common clinical practice. Statutory health insurance does not cover the costs .

Individual evidence

↑ C. von Zur Muhlen, E. Schiffer, P. Zuerbig et al .: Evaluation of urine proteome pattern analysis for its potential to reflect coronary artery atherosclerosis in symptomatic patients . In: J. Proteome Res. , 2009 Jan, 8 (1), pp. 335-345, PMID 19053529 .
↑ E. Schiffer, S. Liabeuf, C. Lacroix et al .: Markers of vascular disease in plasma from patients with chronic kidney disease identified by proteomic analysis . In: J Hypertens. , 2011 Apr, 29 (4), pp. 783-790, PMID 21358419 .
↑ D. Theodorescu, E. Schiffer, HW. Bauer et al .: Discovery and validation of urinary biomarkers for prostate cancer . In: Proteomics Clin Appl , 2008, 2, pp. 556-570, PMID 19759844 .
^ E. Schiffer, C. Bick, B. Grizelj et al .: Urinary proteome analysis for prostate cancer diagnosis: Cost-effective application in routine clinical practice in Germany . In: Int J Urol , 2012, 19, pp. 118-125, PMID 22103570 .
↑ D. Theodorescu, S. Wittke, MM. Ross et al .: Discovery and validation of new protein biomarkers for urothelial cancer: a prospective analysis . In: Lancet Oncol , 2006, 7, pp. 230-240, PMID 16510332 .
↑ E. Schiffer, A. Vlahou, A. Petrolekas et al .: Prediction of muscle-invasive bladder cancer using urinary proteomics . In: Clin Cancer Res , 2009, 15, pp. 4935-4943, PMID 19602546 .
^ S. Wittke et al .: Capillary electrophoresis coupled mass spectrometry for proteome analysis. An innovative diagnostic method for prostate and bladder cancer . In: Urologe , Springer Medizin Verlag, 2007, 46, pp. 733-739, PMID 17318473 .
↑ K. Rossing, H. Mischak, M. Dakna et al .: Urinary proteomics in diabetes and CKD . In: J Am Soc Nephrol , 2008, 19, pp. 1283-1290, PMID 18448586 .
↑ M. Haubitz, DM. Good, A. Woywodt et al .: Identification and validation of urinary biomarkers for differential diagnosis and evaluation of therapeutic intervention in ANCA associated vasculitis . In: Mol Cell Proteomics , 2009, 8, pp. 2296-2307, PMID 19564150 .
↑ AD. Kistler, H. Mischak, D. Poster et al .: Identification of a unique urinary biomarker profile in patients with autosomal dominant polycystic kidney disease . In: Kidney Int . 2009, 76, pp. 89-96, PMID 19564150 .
↑ DM. Good, P. Zürbig, Argilés A et al .: Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease . In: Mol Cell Proteomics , 2010, 9, pp. 2424-2437, PMID 20616184 .
↑ S. Andersen, H. Mischak, P. Zürbig et al .: Urinary proteome analysis enables assessment of renoprotective treatment in type 2 diabetic patients with microalbuminuria . In: BMC Nephrol , 2010, 11, p. 29, PMID 21040538 .
↑ A. Alkhalaf, P. Zürbig, SJ. Bakker et al .: Multicentric validation of proteomic biomarkers in urine specific for diabetic nephropathy . In: PLOS ONE , 2010, 5, p. E13421, PMID 20975990 .
↑ H.-G. Geppert et al .: Proteome analysis for the detection and therapy evaluation of coronary heart disease . In: journal of preventive medicine , 2007, 3, pp. 160-168
↑ C. von Zur Muhlen, E. Schiffer, C. Sackmann et al .: Urine proteome analysis reflects atherosclerotic disease in an ApoE - / - mouse model and allows the discovery of new biomarkers in mouse and human atherosclerosis . In: Mol Cell Proteomics , 2012, PMID 19053529 .
↑ C. Delles, E. Schiffer, C. von Zur Muhlen et al .: Urinary proteomic diagnosis of coronary artery disease: identification and clinical validation in 623 individuals . In: J Hypertens , 2010, 28, pp. 2316-2322, PMID 20811296 .
↑ LU. Zimmerli, E. Schiffer, P. Zürbig et al .: Urinary proteomics biomarkers in coronary artery disease . In: Mol Cell Proteomics , 2008, 7, pp. 290-298, PMID 17951555 .

[1] C. von Zur Muhlen, E. Schiffer, P. Zuerbig et al .: Evaluation of urine proteome pattern analysis for its potential to reflect coronary artery atherosclerosis in symptomatic patients . In: J. Proteome Res. , 2009 Jan, 8 (1), pp. 335-345, PMID 19053529 .

[2] E. Schiffer, S. Liabeuf, C. Lacroix et al .: Markers of vascular disease in plasma from patients with chronic kidney disease identified by proteomic analysis . In: J Hypertens. , 2011 Apr, 29 (4), pp. 783-790, PMID 21358419 .

[3] D. Theodorescu, E. Schiffer, HW. Bauer et al .: Discovery and validation of urinary biomarkers for prostate cancer . In: Proteomics Clin Appl , 2008, 2, pp. 556-570, PMID 19759844 .

[4] E. Schiffer, C. Bick, B. Grizelj et al .: Urinary proteome analysis for prostate cancer diagnosis: Cost-effective application in routine clinical practice in Germany . In: Int J Urol , 2012, 19, pp. 118-125, PMID 22103570 .

[5] D. Theodorescu, S. Wittke, MM. Ross et al .: Discovery and validation of new protein biomarkers for urothelial cancer: a prospective analysis . In: Lancet Oncol , 2006, 7, pp. 230-240, PMID 16510332 .

[6] E. Schiffer, A. Vlahou, A. Petrolekas et al .: Prediction of muscle-invasive bladder cancer using urinary proteomics . In: Clin Cancer Res , 2009, 15, pp. 4935-4943, PMID 19602546 .

[7] S. Wittke et al .: Capillary electrophoresis coupled mass spectrometry for proteome analysis. An innovative diagnostic method for prostate and bladder cancer . In: Urologe , Springer Medizin Verlag, 2007, 46, pp. 733-739, PMID 17318473 .

[8] K. Rossing, H. Mischak, M. Dakna et al .: Urinary proteomics in diabetes and CKD . In: J Am Soc Nephrol , 2008, 19, pp. 1283-1290, PMID 18448586 .

[9] M. Haubitz, DM. Good, A. Woywodt et al .: Identification and validation of urinary biomarkers for differential diagnosis and evaluation of therapeutic intervention in ANCA associated vasculitis . In: Mol Cell Proteomics , 2009, 8, pp. 2296-2307, PMID 19564150 .

[10] AD. Kistler, H. Mischak, D. Poster et al .: Identification of a unique urinary biomarker profile in patients with autosomal dominant polycystic kidney disease . In: Kidney Int . 2009, 76, pp. 89-96, PMID 19564150 .

[11] DM. Good, P. Zürbig, Argilés A et al .: Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease . In: Mol Cell Proteomics , 2010, 9, pp. 2424-2437, PMID 20616184 .

[12] S. Andersen, H. Mischak, P. Zürbig et al .: Urinary proteome analysis enables assessment of renoprotective treatment in type 2 diabetic patients with microalbuminuria . In: BMC Nephrol , 2010, 11, p. 29, PMID 21040538 .

[13] A. Alkhalaf, P. Zürbig, SJ. Bakker et al .: Multicentric validation of proteomic biomarkers in urine specific for diabetic nephropathy . In: PLOS ONE , 2010, 5, p. E13421, PMID 20975990 .

[14] H.-G. Geppert et al .: Proteome analysis for the detection and therapy evaluation of coronary heart disease . In: journal of preventive medicine , 2007, 3, pp. 160-168

[15] C. von Zur Muhlen, E. Schiffer, C. Sackmann et al .: Urine proteome analysis reflects atherosclerotic disease in an ApoE - / - mouse model and allows the discovery of new biomarkers in mouse and human atherosclerosis . In: Mol Cell Proteomics , 2012, PMID 19053529 .

[16] C. Delles, E. Schiffer, C. von Zur Muhlen et al .: Urinary proteomic diagnosis of coronary artery disease: identification and clinical validation in 623 individuals . In: J Hypertens , 2010, 28, pp. 2316-2322, PMID 20811296 .

[17] LU. Zimmerli, E. Schiffer, P. Zürbig et al .: Urinary proteomics biomarkers in coronary artery disease . In: Mol Cell Proteomics , 2008, 7, pp. 290-298, PMID 17951555 .