内皮抑素和血管生成素-2作为预测2型糖尿病肾病的有价值的生物标志物的潜在应用

M. Salem, Al-Aliaa M Sallam, E. Amer, H. El-Mesallamy
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摘要

糖尿病肾病(DN)被认为是糖尿病(DM)的严重毛细血管并发症,可导致终末期肾脏疾病。内皮抑素(EST)被认为是在细胞外基质重塑(ECMR)过程中形成的胶原XVIII片段。EST是一种抗血管生成因子。血管生成素-2 (angii)是一种生长因子,在一些情况下,如高血糖,会增加。本研究旨在探讨EST和Ang II血清水平与2型糖尿病(T2DM)患者肾病的关系。本研究共纳入30例健康人(对照组)和120例T2DM患者,年龄45 ~ 65岁,分为微量白蛋白尿患者60例和无微量白蛋白尿患者60例。评估空腹血糖(FPG)、糖化血红蛋白(HbA1C) %、血脂、尿白蛋白/肌酐比值30-300 mg/g (UACR)、血清尿素和肌酐水平。采用ELISA技术检测EST和Ang II。与健康对照组相比,T2DM组Ang II和EST水平升高(P<0.001)。EST和Ang II与UACR显著相关(r= 0.753, P<0.001) (r= 0.685, P<0.001),提示DN进展。循环EST和Ang II与T2DM显著相关,可预测DN的进展,因此可作为这类患者预测DN的生物标志物。
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The potential use of Endostatin and Angiopoietin-2 as valuable biomarkers for the prediction of Diabetic Nephropathy in Type 2 Diabetes Mellitus
Diabetic Nephropathy (DN) is considered a serious capillary complication of diabetes mellitus (DM) which leads to end-stage renal disease. Endostatin (EST) is considered as collagen XVIII fragment formed during extracellular matrix remodeling (ECMR). EST acts as an anti-angiogenic factor. Angiopoietin-2 (Ang II) is a growth factor that increases in several conditions, such as hyperglycemia. The present study was to scrutinize the association of EST and Ang II serum levels with nephropathy in patients with type 2 diabetes mellitus (T2DM). A total of 30 healthy individuals (control) and 120 T2DM patients classified into 60 patients with microalbuminuria and 60 patients without microalbuminuria), aged 45-65 years were included. Fasting Plasma Glucose (FPG), HbA1C%, lipid profile, urinary albumin/creatinine ratio of 30-300 mg/g (UACR), serum urea and creatinine levels were assessed. Both EST and Ang II were measured using the ELISA technique. Ang II and EST levels were elevated in patients with T2DM groups compared with the healthy control group (P<0.001). EST and Ang II were significantly correlated to UACR (r= 0.753, P<0.001) (r= 0.685, P<0.001) and therefore indicate progress to DN. Circulating EST and Ang II were significantly associated with T2DM and predict progression of DN and therefore can be used as biomarkers for the prediction of DN in such a group of patients.
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