Identification of urinary biomarkers for type 2 diabetes using bead-based proteomic approach

Diabetes Research and Clinical Practice

Volumn 101, Issue 2, 2013, Pages 187-193

  Chu, Lina ^a   Fu, Guangzhen ^a   Meng, Qian ^a,b   Zhou, Hui ^a,b   Zhang, Man ^a,b  

^a CAPITAL MEDICAL UNIVERSITY   (China)

^b CAPITAL MEDICAL UNIVERSITY   (China)

Author keywords

Biomarkers; MALDI TOF MS; Type 2 diabetes mellitus; Urinary peptides

Indexed keywords

AMINO ACID TRANSFER RNA LIGASE; BIOLOGICAL MARKER; CLUSTERIN PRECURSOR PROTEIN; HISTIDINE TRIAD NUCLEOTIDE BINDING PROTEIN 1; NUCLEOTIDE BINDING PROTEIN; PROTEIN PRECURSOR; UNCLASSIFIED DRUG;

ADULT; AMINO ACID SEQUENCE; ARTICLE; BIOINFORMATICS; CLINICAL ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; DOWN REGULATION; FEMALE; HUMAN; LIQUID CHROMATOGRAPHY; MALE; MATRIX ASSISTED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; NANOANALYSIS; NON INSULIN DEPENDENT DIABETES MELLITUS; PEPTIDE ANALYSIS; PROTEIN EXPRESSION; PROTEIN PURIFICATION; PROTEIN URINE LEVEL; PROTEOMICS; TANDEM MASS SPECTROMETRY; URINALYSIS;

EID: 84881224625     PISSN: 01688227     EISSN: 18728227     Source Type: Journal    
DOI: 10.1016/j.diabres.2013.05.004     Document Type: Article

References (33)

1. Brownlee M. The pathobiology of diabetic complications: a unifying mechanism. Diabetes 2005, 54:1615-1625.
2. Ceriello A. The emerging challenge in diabetes: the "metabolic memory". Vascul Pharmacol 2012, 57:133-138.
3. Saudek C.D., Herman W.H., Sacks D.B., Bergenstal R.M., Edelman D., Davidson M.B. A new look at screening and diagnosing diabetes mellitus. J Clin Endocrinol Metab 2008, 93:2447-2453.
4. Sacks D.B. A1C versus glucose testing: a comparison. Diabetes Care 2011, 34:518-523.
5. Lei T., Zhao X., Jin S., Meng Q., Zhou H., Zhang M. Discovery of potential bladder cancer biomarkers by comparative proteomics and analysis. Clin Genitourin Cancer 2013, 11:62-65.
6. Pisitkun T., Johnstone R., Knepper M.A. Discovery of urinary biomarkers. Mol Cell Proteomics 2006, 5(10):1760-1771.
7. Adachi J., Kumar C., Zhang Y., Olsen J.V., Mann M. The human urinary proteome contains more than 1500 proteins, including a large proportion of membrane proteins. Genome Biol 2006, 7:R80.
8. Decramer S., Gonzalez de Peredo A., Breuil B., Mischak H., Monsarrat B., Bascands J.L., et al. Urine in clinical proteomics. Mol Cell Proteomics 2008, 7:1850-1862.
9. Caubet C., Laxroix C., Decramer S., Drube J., Enrich J.H., Mischak H., et al. Advances in urinary proteome analysis and biomarker discovery in pediatric renal disease. Pediatr Nephrol 2010, 25:27-35.
10. Hortin G.L., Carr S.A., Anderson N.L. Introduction: advances in protein analysis for the clinical laboratory. Clin Chem 2010, 56:149-151.
11. Parker C.E., Pearson T.W., Anderson N.L., Borchers C.H. Mass-spectrometry-based clinical proteomics-a review and prospective. Analyst 2010, 135:1830-1838.
12. Decramer S., Peredo A.G., Breuil B., Mischak H., Monsarrat B., Bascands J.L., et al. Urine in clinical proteomics. Mol Cell Proteomics 2008, 7(10):1850-1862.
13. Fiedler G.M., Baumann S., Leichtle A., Oltmann A., Kase J., Thiery J., et al. Standardized peptidome profiling of human urine by magnetic beads separation and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Clin Chem 2007, 53:421-428.
14. Husi H., Fearon K.C., Ross J.A. Can a simple proteomics urine test assist in the early diagnosis of early-stage cancer?. Expert Rev Proteomic 2011, 5(8):5-557.
15. De Bock M., de Seny D., Meuwis M.A., Chapelle J.P., Louis E., Malaise M., et al. Challenges for biomarker discovery in body fluids using SELDI-TOF-MS. J Biomed Biotechnol 2010, [Epub December 6, 2009]. 10.1155/2010/906082.
16. Albalat A., Bitsika V., Zurbig P., Siwy J., Mullen W. High-resolution proteome/peptidome analysis of body fluids by capillary electrophoresis coupled with MS. Methods Mol Biol 2013, 984:153-165.
17. Goodwill A.G., Frisbee J.C. Oxidant stress and skeletal muscle microvasculopathy in the metabolic syndrome. Vascul Pharmacol 2012, 57:150-159.
18. Schaffer S.W., Jong C.J., Mozaffari M. Role of oxidative stress in diabetes-mediated vascular dysfunction: Unifying hypothesis of diabetes revisited. Vascul Pharmacol 2012, 57:139-149.
19. Lapolla A., Fedele D., Traldi P. Glyco-oxidation in diabetes and related diseases. Clin Chim Acta 2005, 357:236-250.
20. de Lemos E.T., Oliveira J., Pinheiro J.P., Reis F. Regular physical exercise as a strategy to improve antioxidant and anti-inflammatory status: benefits in type 2 diabetes mellitus. Oxid Med Cell Longev 2012, 741545.
21. Daimon M., Oizumi T., Karasawa S., Kaino W., Takase K., Tada K., et al. Association of the clusterin gene polymorphisms with type 2 diabetes mellitus. Metabolism 2011, 60:815-822.
22. Bai G., Feng B., Wang J.B., Varney K.M., Shapiro M. Backbone assignment of HINT1 protein, a mouse histidine triad nucleotide binding protein. Biomol NMR Assign 2009, 3:57-59.
23. Varadarajulu J., Lebar M., Krishnamoorthy G., Habelt S., Lu J., Bernard Weinstein, et al. Increased anxiety-related behaviour in Hint1 knockout mice. Behav Brain Res 2011, 220:305-311.
24. Butland G., Peregrin-Alvarez J.M., Li J., Yang X., Canadien V., Starostine A., et al. Interaction network containing conserved and essential protein complexes in Escherichia coli. Nature 2005, 433:531-537.
25. Zuk K., Peczeki L., Stec-michalska K., Medrek M., Nawort B. Family history of gastric cancer correlates with decreased expression of HINT1 tumor suppressor gene in gastric mucosa of dyspeptic patients. Oncol Lett 2012, 3:219-223.
26. Mukhopadhyay R., Jia J., Arif A., Ray P.S., Fox P.L. The GAIT system: a gatekeeper of inflammatory gene expression. Trends Biochem Sci 2009, 34:325-331.
27. Yao P., Potdar A.A., Arif A., Ray P.S., Mukhopadhyay R., Willard B., et al. Coding region polyadenylation generates a truncated tRNA synthetase that counters translation repression. Cell 2012, 149:88-100.
28. Ray P.S., Jia J., Yao P., Majumder M., Hatzoglou M., Fox P.L. A stress-responsive RNA switch regulates VEGF expression. Nature 2009, 457:915-919.
29. Mukhopadhyay R., Ray P.S., Arif A., Brady A.K., Kinter M., Fox P.L. DAPK-ZIPK-L13a axis constitutes a negative feedback module regulating inflammatory gene expression. Mol Cell 2008, 32:371-382.
30. Vyas K., Chaudhuri S., Leaman D.W., Komar A.A., Musiyenko A., Barik S., et al. Genome-wide polysome profiling reveals an inflammation responsive post-transcriptional operon in gamma interferon-activated monocytes. Mol Cell Biol 2009, 29:458-470.
31. Trougakos I.P., Gonos E.S. Oxidative stress in malignant progression: the role of clusterin, a sensitive cellular biosensor of free radicals. Adv Cancer Res 2009, 104:171-210. [chapter 9].
32. Kim S.Y., Lee S., Min B.H., Park I.S. Functional association of the morphogenic factors with the clusterin for the pancreatic beta-cell differentiation. Diabetes Res Clin Pract 2007, 77(Suppl):S122-S126.
33. Bajari T.M., Strasser V., Nimpf J., Schneider W.J. A model for modulation of leptin activity by association with clusterin. FASEB J 2003, 17:1505-1507.