The discovery of biomarkers for type 2 diabetic nephropathy by serum proteome analysis

2007 ◽  
Vol 1 (4) ◽  
pp. 352-361 ◽  
Author(s):  
Eun-Hee Cho ◽  
Mi-Ryung Kim ◽  
Hyun-Jung Kim ◽  
Do-Yeon Lee ◽  
Pan-Kyeom Kim ◽  
...  
Keyword(s):  
Diabetic Nephropathy ◽  
Proteome Analysis ◽  
Serum Proteome ◽  
Type 2 Diabetic

scholarly journals Urinary Proteome Analysis Identified Neprilysin and VCAM as Proteins Involved in Diabetic Nephropathy

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Elena Guillén-Gómez ◽  
Beatriz Bardají-de-Quixano ◽  
Sílvia Ferrer ◽  
Carlos Brotons ◽  
Mark A. Knepper ◽  
...  
Keyword(s):  
Diabetic Nephropathy ◽  
Proteome Analysis ◽  
Sample Collection ◽  
Urinary Proteome ◽  
Modeling Analysis ◽  
Tandem Mass Tag ◽  
Type 2 Diabetic ◽  
Losartan Treatment ◽  
Differentially Abundant Proteins

Urinary proteome was analyzed and quantified by tandem mass tag (TMT) labeling followed by bioinformatics analysis to study diabetic nephropathy (DN) pathophysiology and to identify biomarkers of a clinical outcome. We included type 2 diabetic normotensive non-obese males with (n=9) and without (n=11) incipient DN (microalbuminuria). Sample collection included blood and urine at baseline (control and DN basal) and, in DN patients, after 3 months of losartan treatment (DN treated). Urinary proteome analysis identified 166 differentially abundant proteins between controls and DN patients, 27 comparing DN-treated and DN-basal patients, and 182 between DN-treated patients and controls. The mathematical modeling analysis predicted 80 key proteins involved in DN pathophysiology and 15 in losartan effect, a total of 95 proteins. Out of these 95, 7 are involved in both processes. VCAM-1 and neprilysin stand out of these 7 for being differentially expressed in the urinary proteome. We observed an increase of VCAM-1 urine levels in DN-basal patients compared to diabetic controls and an increase of urinary neprilysin in DN-treated patients with persistent albuminuria; the latter was confirmed by ELISA. Our results point to neprilysin and VCAM-1 as potential candidates in DN pathology and treatment.

Evaluation of urinary TNF-α and KIM-1 biomarkers in T2DM in Upper Egypt

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Magdy EL Sharkawy ◽  
Samir K Abdul-Hamid ◽  
Tarek T Elmelegy ◽  
Mohammed F Adawy
Keyword(s):  
Diabetic Nephropathy ◽  
Early Stage ◽  
Clinical Syndrome ◽  
Diabetic Patients ◽  
University Hospitals ◽  
Type 2 Diabetic Patients ◽  
Cross Sectional ◽  
Tnf Α ◽  
Type 2 Diabetic

Abstract Background Diabetes mellitus (DM) is the most frequent cause of chronic kidney failure in both developed and developing countries. Diabetic nephropathy, is a clinical syndrome characterized by albuminuria (>300 mg/day) with permanent and irreversible decrease in glomerular filtration rate (GFR). Aim of the Work To study the role of urinary TNF-α and urine KIM-1 in type 2 diabetic patients as predictors of DN comparative with albuminuria. Patients and Methods This is a cross-sectional study which include 90 type-2 diabetic patients and 30 controls selected from the outpatient clinic of Assiut University hospitals. All patients gave an informed consent and approval for the study was obtained from the IRB committee of the Assiut Medical Faculty. The recruited patients were divided into three groups: Normo-albuminuria Group (A) (n = 30): UACR less than 30 mg/gm, Microalbuminuria Group (B) (n = 30): UACR between 30-299 mg/gm and Macro-albuminuria Group (C) (n = 30): UACR equal or more than 300 mg/gm. Assess Urinary TNF-α and urine KIM-1 in comparision with albuminuria. Results Urinary KIM-1 and urinary TNF-α are statically significant with albuminuria in patients in the early stage of diabetic nephropathy (eGFR _60 mL/min/1.73 m2).Also there are statically significance between patients with macroalbuminuria than microalbuminuria. Conclusion The results of this study recommend the use of KIM-1 and TNF-α as good predictors of early detection of development of diabetic nephropathy.

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