The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Proteomic Identification of Urinary Biomarkers of Diabetic Nephropathy
Abstract
OBJECTIVE—Diabetic nephropathy is a serious complication of both type 1 and type 2 diabetes, and, unless arrested, leads to end-stage renal disease. Current diagnosis consists of urine assays of microalbuminuria, which have inadequate specificity and sensitivity. RESEARCH DESIGN AND METHODS—We used proteomic analyses to identify novel biomarkers of nephropathy in urine from type 2 diabetic patients with demonstrated normo-, micro-, or macroalbuminuria. Samples were analyzed by fluorescence two-dimensional (2-D) differential in-gel electrophoresis (DIGE), and protein identification was performed by liquid chromatography-tandem mass spectrometry. RESULTS—2-D DIGE analysis of the urinary proteome in diabetes with nephropathy identified 195 protein spots representing 62 unique proteins. These proteins belonged to several functional groups, i.e., cell development, cell organization, defense response, metabolism, and signal transduction. Comparisons between control and diabetic subjects with different stages of renal dysfunction revealed the differential expression of several proteins. Spot volume quantification identified 7 proteins that were progressively upregulated with increasing albuminuria and 4 proteins that exhibited progressive downregulation. The majority of these potential candidate biomarkers were glycoproteins. CONCLUSIONS—These data demonstrate the ability of proteomic analyses to reveal potential biomarkers for diabetic nephropathy in urine, an important step forward in advancing accurate diagnosis and our understanding of disease mechanisms.
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Cites
Serum retinol binding protein 4 contributes to insulin resistance in obesity and type 2 diabetes
Yang, Q., Graham, T. E., Mody, N., Preitner, F., Peroni, O. D., Zabolotny, J. M., Kotani, K., Quadro, L., & Kahn, B. B. (2005) · Nature · doi:10.1038/nature03711 · Cited by 2,086
Cited by
Quantitative Urinary Proteome Analysis for Biomarker Evaluation in Chronic Kidney Disease
Jantos-Siwy, J., Schiffer, E., Brand, K., Schumann, G., Rossing, K., Delles, C., Mischak, H., & Metzger, J. (2009) · Journal of Proteome Research · doi:10.1021/pr800401m · Cited by 259
Mischak, H., Coon, J. J., Novak, J., Weissinger, E. M., Schanstra, J. P., & Dominiczak, A. F. (2009) · Mass Spectrometry Reviews · doi:10.1002/mas.20205 · Cited by 193
Pietrzyk, A. J., Bujacz, A., Mak, P., Potempa, B., & Niedziela, T. (2015) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2015.09.044 · Cited by 20
Metadata
- Authors
- Rao, P. V., Lu, X., Standley, M., Pattee, P., Neelima, G., Girisesh, G., Dakshinamurthy, K. V., Roberts, C. T., & Nagalla, S. R.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2007-03-01
- Volume
- 30
- Issue
- 3
- Pages
- 629-637
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2045153875
- Cited by
- 172
- References
- 1
- FWCI
- 13.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rao, P. V., Lu, X., Standley, M., Pattee, P., Neelima, G., Girisesh, G., Dakshinamurthy, K. V., Roberts, C. T., & Nagalla, S. R. (2007). Proteomic Identification of Urinary Biomarkers of Diabetic Nephropathy. Diabetes Care. https://doi.org/10.2337/dc06-2056
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