| 应用SELDI-TOF-MS技术诊断2型糖尿病肾病 |
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| 引用本文： | 黄波,黄文方,刘华,杨永长,肖代雯,姜伟,胡琦,冯文莉.应用SELDI-TOF-MS技术诊断2型糖尿病肾病[J].临床检验杂志,2009(4). |
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| 作者姓名： | 黄波 黄文方 刘华 杨永长 肖代雯 姜伟 胡琦 冯文莉 |
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| 作者单位： | 重庆医科大学医学检验系;四川省人民医院检验科; |
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| 基金项目： | 四川省卫生厅基金资助项目(07033) |
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| 摘 要： | 目的比较2型糖尿病(T2DM)肾病和对照人群血清蛋白质指纹图谱的差异,建立T2DM肾病诊断模型,探讨此技术对该病诊断的价值。方法采用表面增强激光解析电离飞行时间质谱(SELDI-TOF-MS)技术检测51例T2DM肾病患者和66例对照人群血清,获得蛋白质指纹图谱。结合人工神经网络软件建立诊断模型并进行验证。结果在相对分子量2 000~30 000范围内共检测到175个蛋白峰,其中有17个蛋白峰明显表达差异(P<0.01)。筛选其中质荷比(m/z)分别为5 420、5 782、6 472、6 666、10 277和11 770的6个蛋白峰作为标志蛋白建立人工神经网络诊断模型。利用该模型对T2DM肾病进行盲法预测,结果表明其对该病的诊断敏感性和特异性分别为81.0%和96.2%。结论利用SELDI-TOF-MS和生物信息学技术建立了敏感性和特异性均较高的T2DM肾病诊断模型,为该病诊断提供了新途径。
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| 关 键 词： | 蛋白质指纹图谱 糖尿病肾病 诊断 |
Application of protein fingerprinting model in diagnosing type 2 diabetic nephropathy |
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| HUANG Bo,HUANG Wenfang,LIU Hua,YANG Yongchang,XIAO Daiwen,JIANG Wei,HU Qi,FENG Wenli.Application of protein fingerprinting model in diagnosing type 2 diabetic nephropathy[J].Chinese Journal of Clinical Laboratory Science,2009(4). |
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| Authors: | HUANG Bo HUANG Wenfang LIU Hua YANG Yongchang XIAO Daiwen JIANG Wei HU Qi FENG Wenli |
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| Institution: | HUANG Bo1,HUANG Wenfang2,LIU Hua2,YANG Yongchang2,XIAO Daiwen2,JIANG Wei2,HU Qi1,FENG Wenli1 |
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| Abstract: | Objective To compare the serum protein fingerprint difference between type 2 diabetic patients with nephropathy and healthy persons and to establish diagnostic model for diagnosing type 2 diabetic nephropathy.Methods Surface enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS) technology was used to analyze sera from 51 type 2 diabetic patients with nephropathy and 66 healthy controls.Diagnostic model was developed and validated using artificial neural network software.Results... |
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| Keywords: | protein fingerprinting diabetic nephropathy diagnosis |
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