论文部分内容阅读
收集72例2型糖尿病肾病患者、33例2型糖尿病不伴肾病患者和29例正常人晨尿上清,采用铜离子螯合表面芯片(IMAC3-Cu~(2+)),经表面加强激光解吸电离-飞行时间质谱测定得到蛋白质指纹图谱。建立了诊断决策树模型。糖尿病肾病组与非糖尿病肾病组相比较,17个蛋白峰强度相差2倍以上且有统计学意义(P<0.01),其中4个蛋白建立了DN诊断模型,盲法验证该模型敏感性86.67%(26/30),特异性85.00%(17/20)。
72 patients with type 2 diabetic nephropathy, 33 patients with type 2 diabetes without nephropathy and 29 normal individuals were enrolled in this study. Morning ionization with copper ion chelate surface chip (IMAC3-Cu 2+) Desorption ionization - time of flight mass spectrometry protein fingerprinting. Established a diagnostic decision tree model. Compared with non-diabetic nephropathy group, the peak intensity of 17 proteins in diabetic nephropathy group was more than twice that in the non-diabetic nephropathy group (P <0.01), of which 4 proteins established the DN diagnostic model. The sensitivity of this model was 86.67% (26/30), specificity 85.00% (17/20).