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目的探索应用蛋白质组学技术于肺结核诊断。方法从本院临床肺结核病例中,选择痰检测结核分枝杆菌培养阳性、阴性肺结核患者共130名,以健康者65名为对照,进行血清蛋白指纹图谱检测,分析其相关蛋白峰值并进行统计学处理。结果 130例活动性肺结核患者,与65名正常人群血清蛋白质质谱数据的比较,5个蛋白峰(5335、8048、11683、11700、11526m/z)有差异,有统计学意义(P<0.01)。该诊断模型判别的总准确率为92.3%(180/195),特异度100%(65/65),灵敏度88.5%(115/130)。130例活动性肺结核患者中,菌(+)65例,质谱仪检测结果峰值为:5335m/z24例,11683m/z16例,8048m/z14例,11700m/z5例,占90.8%(59/65);菌(-)65例,峰值为:8048m/z20例,5335m/z14例,11526m/z8例,11683m/z7例,11700m/z6例,占84.6%(55/65)。结论血清蛋白质指纹图谱技术简便、快速,标本用量少,是筛选结核病特异性标志物的有效手段,有望成为活动性肺结核的早期辅助诊断指标。
Objective To explore the application of proteomics in the diagnosis of pulmonary tuberculosis. Methods A total of 130 patients with positive and negative pulmonary tuberculosis were selected for sputum test from clinical pulmonary tuberculosis cases in our hospital. Serum protein fingerprinting was performed using 65 healthy individuals as controls, and the peak values of related proteins were analyzed and statistically analyzed deal with. Results There was a significant difference in the five protein peaks (5335, 8048, 11683, 11700, 11526m / z) between 130 active pulmonary tuberculosis patients and 65 normal controls (P <0.01). The diagnostic accuracy of the diagnostic model was 92.3% (180/195), specificity was 100% (65/65) and sensitivity was 88.5% (115/130). Among the 130 active pulmonary tuberculosis patients, 65 were bacteria (+). The peak value of mass spectrometry was 5335 m / z in 24 cases, 11683 m / z in 16 cases, 8048 m / z in 14 cases and 11700 m / z in 5 cases, accounting for 90.8% ; 65 cases of bacteria (-), peak: 8048m / z20 cases, 5335m / z14 cases, 11526m / z8 cases, 11683m / z7 cases, 11700m / z6 cases, accounting for 84.6% (55/65). Conclusion The serum protein fingerprinting technique is simple and rapid, and the amount of samples used is small, which is an effective method to screen tuberculosis-specific markers. It is expected to become an early auxiliary diagnostic indicator of active tuberculosis.