Department of Endocrinology and Metabolism, Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China.
Diabetes Res Clin Pract. 2011 Feb;91(2):213-9. doi: 10.1016/j.diabres.2010.11.036. Epub 2011 Jan 14.
To detect urinary proteomic profiling of patients with type 2 diabetes by using ProteinChip array technology, for searching new potential biomarkers in early diagnosis of type 2 diabetic nephropathy (T2DN).
A total of 95 urine samples from type 2 diabetic patients with normoalbuminuria (DM, n=30), microalbuminuria (DNl, n=25) and macroalbuminuria (DN2, n=20), and healthy controls (n=20) were analyzed by SELDI-TOF-MS (the surface-enhanced laser desorption/ionization time-of-flight mass spectrometry) technology combined with bioinformatics tools.
Over 300 proteins or peptides from 1 to 80 kDa were obtained using ProteinChip. About 40 of them with the m/z values from 2008.78 to 79176.55 Da were significantly differentiated between type 2 diabetic patients and control subjects. Four proteins of mass 2797.03, 4545.77, 4984.03 and 9083.71 Da were selected as the potential biomarkers for T2DN with sensitivity of 88% and specificity of 96.7%.
ProteinChip technology can help to discover new biomarkers and provide a novel non-invasive tool to early diagnosis of T2DN.
应用蛋白质芯片阵列技术检测 2 型糖尿病患者的尿蛋白组谱，寻找 2 型糖尿病肾病（T2DN）早期诊断的新潜在生物标志物。
采用表面增强激光解吸电离飞行时间质谱（SELDI-TOF-MS）技术结合生物信息学工具，分析 95 例 2 型糖尿病患者（其中尿白蛋白正常组 DM 30 例、微量白蛋白尿组 DNl 25 例、大量白蛋白尿组 DN2 20 例）和健康对照者（20 例）的尿液标本。
应用 ProteinChip 技术可获得分子量为 1 ～ 80 kDa 的蛋白质或肽段 300 余种，其中 2008.78 ～ 79176.55 Da 的 40 余种蛋白质在 2 型糖尿病患者和对照组之间存在显著差异。选择分子量为 2797.03、4545.77、4984.03 和 9083.71 Da 的 4 种蛋白质作为 T2DN 的潜在生物标志物，其敏感性为 88%，特异性为 96.7%。
蛋白质芯片技术有助于发现新的生物标志物，为 T2DN 的早期诊断提供一种新的非侵入性工具。
