Mortality and morbidity associated with diabetes is diabetic nephropathy. We carried out a research project on the identification of specific proteomic profiles in patients with diabetic nephropathy. The rationale for this study is based on studies demonstrating that chronic inflammation and oxidative stress determine the complications observed in diabetic patients. Such a pathogenesis will determine post-translational protein modification, bringing to the identification of prognostic and predictive markers. Recent advances in proteomic profiling technologies have allowed preliminary profiling. Various specific proteomic profiles have been described for various pathologies, in particular tumors. Studies on proteomic profiling in diabetic nephropathy have not been performed yet. We analyzed easily available biological samples such as urine to evaluate the expression and function levels of urinary molecules that could become diagnostic, prognostic and predictive markers of disease.
2-D proteomic analysis of urine in diabetic patients with nephropathy / Tomasi, Aldo; L., Lucchi; Uggeri, Simona; Bellei, Elisa; Rossi, Elena; Albertazzi, Alberto; Iannone, Anna. - In: CLINICAL CHEMISTRY. - ISSN 0009-9147. - STAMPA. - 52:(2006), pp. A164-A164. (Intervento presentato al convegno The American Association for Clinical Chemistry Annual Meeting tenutosi a Chicago,Ill, USA nel July 23-27, 2006).
2-D proteomic analysis of urine in diabetic patients with nephropathy
TOMASI, Aldo;UGGERI, Simona;BELLEI, Elisa;ROSSI, Elena;ALBERTAZZI, Alberto;IANNONE, Anna
2006
Abstract
Mortality and morbidity associated with diabetes is diabetic nephropathy. We carried out a research project on the identification of specific proteomic profiles in patients with diabetic nephropathy. The rationale for this study is based on studies demonstrating that chronic inflammation and oxidative stress determine the complications observed in diabetic patients. Such a pathogenesis will determine post-translational protein modification, bringing to the identification of prognostic and predictive markers. Recent advances in proteomic profiling technologies have allowed preliminary profiling. Various specific proteomic profiles have been described for various pathologies, in particular tumors. Studies on proteomic profiling in diabetic nephropathy have not been performed yet. We analyzed easily available biological samples such as urine to evaluate the expression and function levels of urinary molecules that could become diagnostic, prognostic and predictive markers of disease.
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