CAJ | 학술논문

目的通过比较慢性肾衰(CRF)患者与正常人血清蛋白表达谱的差异,筛选血清蛋白标志物并建立诊断模型,探讨其在慢性肾衰血清学诊断中的意义.方法收集62例CRF患者和28例正常人的血清,经表面增强激光解析离子化飞行时间质谱(SELDI-TOF-MS)检验并筛选血清蛋白标志物.经生物信息学分析建立预测模型并进行验证.结果在质荷比(m/z)1 500～30 000范围内,检测到51个有效蛋白峰,发现有19个峰有显著差异(P＜0.001),其中18个峰呈低表达,1个峰呈高表达;且CRF组和正常组的聚类性质明显不同;组内样本彼此靠近,组间样本彼此分开.构建的"慢性肾衰组-正常组"诊断决策树模型,预测正确率为87.8%,灵敏度为87.1%,特异度为89.3%.结论该决策树模型能对慢性肾衰做出较为准确的预测判断,为慢性肾衰的临床早期发现提供一定的实验依据.
목적 통과비교만성신쇠(CRF)환자여정상인혈청단백표체보적차이,사선혈청단백표지물병건립진단모형,탐토기재만성신쇠혈청학진단중적의의.방법 수집62례CRF환자화28례정상인적혈청,경표면증강격광해석리자화비행시간질보(SELDI-TOF-MS)검험병사선혈청단백표지물.경생물신식학분석건립예측모형병진행험증.결과 재질하비(m/z)1 500～30 000범위내,검측도51개유효단백봉,발현유19개봉유현저차이(P＜0.001),기중18개봉정저표체,1개봉정고표체;차CRF조화정상조적취류성질명현불동;조내양본피차고근,조간양본피차분개.구건적"만성신쇠조-정상조"진단결책수모형,예측정학솔위87.8%,령민도위87.1%,특이도위89.3%.결론 해결책수모형능대만성신쇠주출교위준학적예측판단,위만성신쇠적림상조기발현제공일정적실험의거.
Objective To Screen serum protein markers related to CRF and establish a diagnosis model,exploring and discussing its significance in serodiagnosis by comparing differences of serum protein spectrum expression between patients with chronic renal failure (CRF) and control group.Methods The trial included 62 CRF patients and 28 control ones.Serum samples were tested by surface enhanced laser desorption/ionization-time of flight-mass spectrometry (SELDI-TOF-MS).The data were analyzed to screen serum proteomic biomarkers.By bioinformatics analysis,decision classification tree models were to be established and tested.Results A total of 19 effective protein peaks were significantly different between CRF and normal control (P＜0.001) at m/z range of 1 500 to 30 000,among which 18 showed low expression and 1 showed high expression in CRF.CRF and normal control were obviously different in the clustering;By bioinformatics analysis,a "CRF-normal controls" of the diagnostic decision tree model was developed,which was 87.8% in with prediction accuracy rate of 87.8% sensitivity of 87.1% and a specificity of 89.3%.Condusion Diagnostic decision tree model provides a more accurate prediction and solid experimental evidence for early clinical diagnosis.