胰腺癌相关糖尿病的血清蛋白质组学分析  

Serum proteomic analysis of pancreatic cancer associated diabetes

作　　者：吴健婷[1] 田字彬[1] 丁雪丽[1] 荆雪[1] 江月萍[1] 魏良洲[1] 孔心涓[1] 张翠萍[1] 赵清喜[1] 

机构地区：[1]青岛大学医学院附属医院消化内科,青岛266003

出　　处：《中华胰腺病杂志》2012年第5期306-309,共4页Chinese Journal of Pancreatology

摘　　要：目的检测胰腺癌相关糖尿病的血清蛋白标志物，并建立诊断模型。方法应用表面增强激光解析电离飞行时间质谱（SELDI—TOF—MS）技术检测17例胰腺癌相关糖尿病与17例新发2型糖尿病、17例健康对照者血清的差异表达蛋白，用Biomarker Patterns Software5．0软件建立胰腺癌相关糖尿病诊断模型并验证。结果在胰腺癌相关糖尿病、新发2型糖尿病、健康者各10例的蛋白指纹图谱中筛选出12个差异表达蛋白峰，其中质荷比为6116、6695、8936Da的蛋白峰被选为建立胰腺癌相关糖尿病诊断模型的蛋白峰。该诊断模型的诊断正确率为90％。盲法验证各组另7例样本，正确诊断胰腺癌相关糖尿病患者达100％，新发2型糖尿病患者为71％，健康人群为86％。经检索蛋白质数据库，与以上3种差异表达蛋白分子质量最为接近的蛋白分别为金属硫蛋白、胰腺干细胞增殖分化因子和成纤维细胞生长因子1。结论通过SELDI方法筛选出3种胰腺癌相关糖尿病的血清蛋白标志物，建立了可靠的胰腺癌相关糖尿病的诊断模型。Objective To detect serum biomarkers for pancreatic cancer associated diabetes and establish a model for diagnosis. Methods SELDI-TOF-MS was used to detect the differentially expressed serum proteins from 17 pancreatic cancer associated diabetes patients, 17 new-onset type Ⅱ diabetes patients and 17 healthy controls, then a model of biomarkers was constructed and validated by Biomarker Patterns Software 5.0. Results Twelve discriminating m/z peaks were identified in the protein fingerprints in 10 pancreatic cancer associated diabetes patients, 10 new-onset type II diabetes patients and 10 healthy controls. Among them, the three biomarkers of mass/charge ratio 6116, 6695 and 8936 were used to construct the model, which could diagnose 90% pancreatic cancer associated diabetes form control groups. Blind test of other7 samples of three groups showed that 100% pancreatic cancer associated diabetes, 71% new-onset diabetes and 86% healthy controls were correctly classified. After searching protein database, there were metallothionein, pancreatic progenitor cell differentiation and proliferation factor-like protein, and fibroblastic growth factor 1, which were close to the weights of the above mentioned 3 differentially expressed proteins. Conclusions SELDI can identify 3 biomarkers for pancreatic cancer associated diabetes and a reliable model for diagnosis of pancreatic cancer associated diabetes is established.

关 键 词：糖尿病 胰腺肿瘤 蛋白质组学 表面增强激光解析电离飞行时间质谱技术 

分 类 号：R735.9[医药卫生—肿瘤] R587.1[医药卫生—临床医学]