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目的:用表面增强激光解吸离子化飞行时间质谱(SELDI-TOF-MS)分析少精子症患者和正常对照组精浆蛋白质指纹图谱的变化,建立能鉴别少精子症患者和正常对照组精浆标志物的诊断模型。方法:收集33例少精子症和31例正常对照的精浆,用CM10(弱阳离子交换芯片)蛋白质芯片和SELDI-TOF-MS检测蛋白质指纹图谱的表达。用Biomarker Patterns Software分析软件进行数据处理,建立区分少精子症患者与正常对照组精浆中蛋白质指纹图谱差异表达模型,并用此模型对33例少精子症患者及31例正常对照组进行盲法交叉验证。结果:在相对分子质量2000~20000范围内,共检测到185种有差异的蛋白峰,其中23种有统计学意义(P<0.05)。建立了由3种差异蛋白质组成的少精子症诊断模型,其敏感性为90.9%(30/33),特异性为93.5%(29/31),双盲法验证结果其敏感性为87.9%(29/33),特异性为90.3%(28/31)。结论:用SELDI-TOF-MS技术初步建立的区分少精子症与正常对照精浆蛋白质差异表达模型可以区别少精子症和正常对照。
OBJECTIVE: To analyze the changes of protein profiles in seminal plasma of patients with oligospermia by SELDI-TOF-MS and to establish the seminal plasma marker to identify the patients with oligospermia and the normal control group Diagnostic model of matter. Methods: Seminal plasma from 33 oligozoospermia and 31 normal controls was collected. Protein fingerprinting was detected by CM10 (weak cation exchange chip) and SELDI-TOF-MS. Data were processed with Biomarker Patterns Software to establish a differential expression pattern of protein fingerprints in the seminal plasma of patients with oligospermia and normal controls. Blind intersections of 33 oligospermia patients and 31 normal controls verification. Results: In the range of 2000 ~ 20000, a total of 185 different protein peaks were detected, of which 23 were statistically significant (P <0.05). The differential diagnosis of oligozoospermia was established with 90.9% (30/33) of the differential proteins and 93.5% (29/31) of the differential proteins. The sensitivity of double-blind assay was 87.9% ( 29/33) with a specificity of 90.3% (28/31). Conclusion: The differential expression model of seminal plasma protein differentiated by oligozoospermia and normal control, which was established preliminarily by SELDI-TOF-MS, can differentiate oligospermia and normal controls.