Literature DB >> 17634209

Characterization of diabetic nephropathy by urinary proteomic analysis: identification of a processed ubiquitin form as a differentially excreted protein in diabetic nephropathy patients.

Hassan Dihazi1, Gerhard A Müller, Sandra Lindner, Markus Meyer, Abdul R Asif, Michael Oellerich, Frank Strutz.   

Abstract

BACKGROUND: Identification of markers for prediction of the clinical course of diabetic nephropathy remains a major challenge in disease management. We established a proteomics approach for identification of diabetic nephropathy-related biomarkers in urine.
METHODS: We used SELDI-TOF mass spectrometry and SAX2 protein arrays to compare protein profiles from urine of 4 defined patient groups. Samples from patients with type 2 diabetes (DM; n = 45) without nephropathy and without microalbuminuria (DM-WNP), patients with DM with macro- or microalbuminuria (DM-NP; n = 38), patients with proteinuria due to nondiabetic renal disease (n = 34), and healthy controls (n = 45) were analyzed. Anionic exchange, reversed-phase fractionation, gel electrophoresis, and mass spectrometry were used to isolate and identify proteins with high discriminatory power.
RESULTS: A protein with m/z 6188 (P <0.0000004) was strongly released in the urine of healthy controls, patients with proteinuria due to nondiabetic disease, and DM-WNP in contrast to DM-NP patients. An m/z 14 766 protein (P <0.00008) was selectively excreted in the urine of DM-NP patients, whereas the protein with m/z 11 774 (P <0.000004) was significantly excreted by patients with proteinuria and DM-NP. The m/z 11 774 and m/z 14 766 mass peaks were identified as beta(2)-microglobulin and UbA52, a ubiquitin ribosomal fusion protein, respectively. The protein with m/z 6188 was identified as a processed form of ubiquitin.
CONCLUSION: The release of high amounts of UbA52 in urine of DM-NP patients could serve as a diagnostic marker, whereas the lack of the short form of ubiquitin raises interesting questions about the pathophysiology.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17634209     DOI: 10.1373/clinchem.2007.088260

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


  26 in total

1.  Successes achieved and challenges ahead in translating biomarkers into clinical applications.

Authors:  Greg Tesch; Shashi Amur; John T Schousboe; Jeffrey N Siegel; Lawrence J Lesko; Jane P F Bai
Journal:  AAPS J       Date:  2010-03-16       Impact factor: 4.009

Review 2.  Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.

Authors:  Julie A D Van; James W Scholey; Ana Konvalinka
Journal:  J Am Soc Nephrol       Date:  2017-02-03       Impact factor: 10.121

Review 3.  Proteomics and diabetic nephropathy: what have we learned from a decade of clinical proteomics studies?

Authors:  Massimo Papale; Salvatore Di Paolo; Grazia Vocino; Maria Teresa Rocchetti; Loreto Gesualdo
Journal:  J Nephrol       Date:  2014-02-25       Impact factor: 3.902

4.  Discovery of genes related to diabetic nephropathy in various animal models by current techniques.

Authors:  Jun Wada; Lin Sun; Yashpal S Kanwar
Journal:  Contrib Nephrol       Date:  2011-01-20       Impact factor: 1.580

5.  Challenges and opportunities for discovery of disease biomarkers using urine proteomics.

Authors:  Alex Kentsis
Journal:  Pediatr Int       Date:  2011-02       Impact factor: 1.524

6.  Urinary proteome analysis enables assessment of renoprotective treatment in type 2 diabetic patients with microalbuminuria.

Authors:  Sten Andersen; Harald Mischak; Petra Zürbig; Hans-Henrik Parving; Peter Rossing
Journal:  BMC Nephrol       Date:  2010-11-01       Impact factor: 2.388

7.  Urinary protein profiles in a rat model for diabetic complications.

Authors:  Daniela M Schlatzer; Jean-Eudes Dazard; Moyez Dharsee; Rob M Ewing; Serguei Ilchenko; Ian Stewart; George Christ; Mark R Chance
Journal:  Mol Cell Proteomics       Date:  2009-06-04       Impact factor: 5.911

Review 8.  Urinary Proteomics for Diagnosis and Monitoring of Diabetic Nephropathy.

Authors:  G Currie; C Delles
Journal:  Curr Diab Rep       Date:  2016-11       Impact factor: 4.810

Review 9.  Proteomics and systems biology for understanding diabetic nephropathy.

Authors:  Jonathan M Starkey; Ronald G Tilton
Journal:  J Cardiovasc Transl Res       Date:  2012-05-12       Impact factor: 4.132

Review 10.  Review and discussion of tubular biomarkers in the diagnosis and management of diabetic nephropathy.

Authors:  Gianfranco Tramonti; Yashpal S Kanwar
Journal:  Endocrine       Date:  2012-10-20       Impact factor: 3.633

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.