CAJ | 학술논문

H4蛋白芯片结合表面增强激光解吸电离飞行时间质谱技术检测糖尿病患者和健康人尿液样本的蛋白质质谱,按糖尿病肾病的分期分组比较,结果得到一组特异性蛋白.筛选出预测准确率最高的4个差异蛋白质建立早期糖尿病肾病的人工神经网络模型并验证.
H4단백심편결합표면증강격광해흡전리비행시간질보기술검측당뇨병환자화건강인뇨액양본적단백질질보,안당뇨병신병적분기분조비교,결과득도일조특이성단백.사선출예측준학솔최고적4개차이단백질건립조기당뇨병신병적인공신경망락모형병험증.
Urine samples from diabetic and healthy subjects were detected by H4 protein chip and surface-enhanced laser desorption/ionization time of flight mass spectrometry (SELDI-TOF-MS).Some significantly differential proteins between diabetic and controls were found.Four top-scored protein peaks were finally selected as the potential "fingerprints" for detection of early diabetic nephropathy by artificial neural network (ANN) classifier.