目的研究2型糖尿病视网膜病变(diabetic retinopathy,DR)患者特异的血清低分子量蛋白质指纹图谱。方法应用表面加强激光解吸电离-飞行时间-质谱(SELDI-TOF-MS)技术,选用H4蛋白质芯片,优化技术参数,对16例正常人,27例2型糖尿病不伴DR患者及21例2型糖尿病伴DR患者的血清标本进行检测,应用Biomarker Wizard软件筛选DR患者血清中差异表达蛋白质。结果H4芯片在激光强度210,灵敏度为9的条件下可获得较理想的图谱。在m/z2000至20000范围内共出现31个蛋白质/多肽峰;其中有5个差异表达蛋白质或多肽,m/z为7440,7639,7839,8147和8925(P〈0.05)。结论SELDVTOF-MS蛋白质芯片技术是一种快速、简便和高通量分析方法,能直接筛选出DR患者血清中的潜在标记物。
Purpose To establish a type 2 diabetic retinopathy(DR)specific serum protein fingerprint profile. Methods Sera of 16 healthy volunteers, 27 type 2 diabetic patients without DR and 21 type 2 diabetic retinopathy patients were analyzed by using surface enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS) and Biomarker Wizard Software to identify potential differences in protein or polypeptide profile. Results Protein profile of serum showed the best peak spectrum on H4 arrays by sensitivity of 9 and laser intensity of 210. Totally 31 mass peaks in the range from 2 000 to 20 000 were detected. The intensities of 5 peaks at m/z 7 440,7 639,7 839,8 147 and 8 925 appeared differentially among three groups(P(0.05). Conclusions Although further characterization of differentially detected protein peaks is important and needed, our current work clearly demonstrates that the SELDI is effective in searching biomarkers of DR in serum protein profile.