At present, the urinary albumin excretion rate is the best noninvasive predictor for diabetic nephropathy (DN) but major limitations are associated with this marker. Here, we used in vivo perfusion technology to establish disease progression markers in an animal model of DN. Rats were perfused with a reactive ester derivative of biotin at various times after streptozotocin treatment. Following homogenization of kidney tissue and affinity purification of biotinylated proteins, a label-free mass spectrometry-based proteomic analysis of tryptic digests identified and relatively quantified 396 proteins. Of these proteins, 24 and 11 were found to be more than 10-fold up- or downregulated, respectively, compared with the same procedure in vehicle...
The use of targeted proteomics to identify urinary biomarkers of kidney disease in urine can avoid t...
Objective Early detection of kidney disorders based on selective biomarkers could permit to diagno...
The use of targeted proteomics to identify urinary biomarkers of kidney disease in urine can avoid t...
At present, the urinary albumin excretion rate is the best noninvasive predictor for diabetic nephro...
Urinary proteome was analyzed and quantified by tandem mass tag (TMT) labeling followed by bioinform...
Urinary proteome was analyzed and quantified by tandem mass tag (TMT) labeling followed by bioinform...
The last decade has seen a surge in publications describing novel biomarkers for early detection of...
Background: Nephropathy associated with diabetes is a severe complication that cause slow kidneys d...
Diabetic nephropathy (DN) is a complication associated with diabetes, leading to end-stage renal dis...
Renal disease in patients with Type II diabetes is the leading cause of terminal renal failure and a...
<div><p>The use of targeted proteomics to identify urinary biomarkers of kidney disease in urine can...
Diabetic nephropathy (DN) is a progressive kidney disease, a well-known complication of long-standin...
Objective Urinary proteomics is primarily applied to the study of renal and urogenital tract disorde...
Diabetic nephropathy (DN) is a progressive kidney disease, a well-known complication of long-standin...
Urine proteome analysis is rapidly emerging as a tool for diagnosis and prognosis in disease states....
The use of targeted proteomics to identify urinary biomarkers of kidney disease in urine can avoid t...
Objective Early detection of kidney disorders based on selective biomarkers could permit to diagno...
The use of targeted proteomics to identify urinary biomarkers of kidney disease in urine can avoid t...
At present, the urinary albumin excretion rate is the best noninvasive predictor for diabetic nephro...
Urinary proteome was analyzed and quantified by tandem mass tag (TMT) labeling followed by bioinform...
Urinary proteome was analyzed and quantified by tandem mass tag (TMT) labeling followed by bioinform...
The last decade has seen a surge in publications describing novel biomarkers for early detection of...
Background: Nephropathy associated with diabetes is a severe complication that cause slow kidneys d...
Diabetic nephropathy (DN) is a complication associated with diabetes, leading to end-stage renal dis...
Renal disease in patients with Type II diabetes is the leading cause of terminal renal failure and a...
<div><p>The use of targeted proteomics to identify urinary biomarkers of kidney disease in urine can...
Diabetic nephropathy (DN) is a progressive kidney disease, a well-known complication of long-standin...
Objective Urinary proteomics is primarily applied to the study of renal and urogenital tract disorde...
Diabetic nephropathy (DN) is a progressive kidney disease, a well-known complication of long-standin...
Urine proteome analysis is rapidly emerging as a tool for diagnosis and prognosis in disease states....
The use of targeted proteomics to identify urinary biomarkers of kidney disease in urine can avoid t...
Objective Early detection of kidney disorders based on selective biomarkers could permit to diagno...
The use of targeted proteomics to identify urinary biomarkers of kidney disease in urine can avoid t...