论文部分内容阅读
目的用表面增强激光解析电离-飞行时间质谱(SELDI-TOF MS)技术比较汉、藏族肺结核患者之间及其与相应的非结核对照者之间的血清差异蛋白,以寻找各自的质谱诊断模型并比较两个民族肺结核的蛋白质差异。方法收集2008年6月至2009年3月四川大学华西医院呼吸科结核病区、西藏自治区驻成都办事处医院内科、成都市传染病医院和成都市结核病防治研究院内科住院患者及门诊健康体检者共154份血清样本,其中87例活动性肺结核患者(汉族38例,藏族49例),67例非结核对照(汉族36例,藏族31例)。SELDI-TOF MS质谱分析分为训练组和测试组:训练组包含53例肺结核(汉族23例,藏族30例)和42例非结核对照(汉族20例,藏族22例),所获得的血清质谱用决策树的学习算法来进行分析,得到的诊断模型再用另一个独立的测试组来进行准确性验证,测试组包含59份血清样本:34例肺结核(汉族15例,藏族19例),25例非结核对照(汉族16例,藏族9例)。结果训练组中得到的诊断模型质荷比(m/z)为3193.61、4592.11可以诊断出20/23例汉族肺结核和17/20例汉族对照,准确度86.04%(敏感性为86.95%,特异性为85.00%),模型m/z为4821.45能够诊断出28/30例藏族肺结核和19/22例藏族对照,准确度90.38%(敏感性93.33%,特异性86.36%),而模型m/z为4091.98、3398.27、7970.44、4965.51、7970.44则能够将藏族肺结核从汉族患者中区分出来(准确度92.45%)。在相应的验证组中,3个诊断模型的准确度分别为70.96%、71.42%和67.92%。同时发现藏、汉族肺结核之间有16个差异蛋白峰。结论SELDI-TOF MS对汉、藏族肺结核的诊断均具有较高价值,两个民族的肺结核患者存在一定的蛋白质表达差异。
Objective To compare serum differential proteins between Han and Tibetan tuberculosis patients and their corresponding non-tuberculous controls using surface-enhanced laser desorption / ionization-time of flight mass spectrometry (SELDI-TOF MS) to find out their respective mass spectral diagnostic models Compare the protein differences between the two ethnic tuberculosis. Methods From June 2008 to March 2009, the Department of Respiratory Tuberculosis, West China Hospital, Sichuan University, Chengdu Hospital of Infectious Diseases, Chengdu Infectious Disease Hospital and Chengdu Tuberculosis Prevention and Treatment Institute were recruited as inpatients and outpatients Of the 154 serum samples, 87 patients with active tuberculosis (38 Han and 49 Tibetan) and 67 non-tuberculous controls (36 Han and 31 Tibetan). SELDI-TOF MS mass spectrometry was divided into training group and testing group. The training group consisted of 53 cases of pulmonary tuberculosis (23 Han patients, 30 Tibetan patients) and 42 non-tuberculosis control subjects (20 Han patients and 22 Tibetan subjects) Using a decision tree learning algorithm, the resulting diagnostic model was validated against another independent test set consisting of 59 serum samples: 34 pulmonary tuberculosis (Han 15, Tibetan 19), 25 Cases of non-tuberculosis control (Han 16 cases, Tibetan 9 cases). Results The mass-to-charge ratio (m / z) of the diagnostic model obtained in the training group was 3193.61 and 4592.11, which could diagnose 20/23 cases of Han tuberculosis and 17/20 Han controls with an accuracy of 86.04% (sensitivity of 86.95%, specificity 85.00%). The model m / z 4821.45 was able to diagnose 28/30 Tibetan tuberculosis and 19/22 Tibetan controls with accuracy of 90.38% (sensitivity 93.33% and specificity 86.36%), while the model m / z was 4091.98,3398.27,7970.44,4965.51,7970.44 were able to distinguish Tibetan tuberculosis from Han patients (accuracy 92.45%). In the corresponding validation group, the accuracy of the three diagnostic models were 70.96%, 71.42% and 67.92% respectively. At the same time, there were 16 differential protein peaks between Tibetan and Han nationality tuberculosis. Conclusion SELDI-TOF MS is of high value in the diagnosis of tuberculosis in Han and Tibetan patients. There are some differences in protein expression between tuberculosis patients of two ethnic groups.