Chu Yu-guang, Shi Jie, Hu Yuan-hui, Wu Hua-qin, Liu Gui-jian, Hu Chao-jun, Li Yong-zhe, Li Yi, Chen Zi-jing, He Qing
Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
Zhong Xi Yi Jie He Xue Bao. 2009 Jul;7(7):629-35. doi: 10.3736/jcim20090706.
To study the serum proteomes of essential hypertension (EH) patients with abundant phlegm-dampness, and try to find special proteins associated with abundant phlegm-dampness syndrome.
Fifty-nine hypertension patients were included, and the patients were divided into abundant phlegm-dampness syndrome group (39 cases) and non-phlegm-dampness syndrome group (20 cases). To find the special proteins associated with abundant phlegm-dampness, the EH patients with non-phlegm-dampness and another 30 healthy persons were regarded as control. Weak cation nano-magnetic beads were used to capture proteins in serum, and proteomic fingerprint was made by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS). All the proteomic fingerprints were analyzed by Biomarker Wizard 3.1 Software. Then Biomarker Patterns Software (BPS) 5.0 was used to identify the differentiated proteins, which could induce phlegm-dampness.
There were 102 differentiated protein peaks between abundant phlegm-dampness and the control group. The best markers of abundant phlegm-dampness were protein peaks with the mass to charge ratio (m/z) of 9,334.958 m/z (the expression increased), 9,280.191 m/z (the expression decreased), 8,030.794 m/z (the expression increased), and 2,941.551 m/z (the expression increased). These four protein peaks found by BPS could induce abundant phlegm-dampness. They could be used to separate the abundant phlegm-dampness syndrome from the healthy persons and the hypertension patients with non-phlegm-dampness. The sensitivity of the model was 93.103% (27/29), specificity was 92% (23/25), false positive rate was 8% (2/25), false negative rate was 6.897% (2/29) and Youden's index was 85.103%. Blind test data indicated a sensitivity of 90% (9/10) and a specificity of 88% (22/25), and the false positive rate was 12% (3/25), false negative rate was 10% (1/10), and Youden's index was 78%.
The differentiated proteins between the abundant phlegm-dampness group and the control group are the material foundation of abundant phlegm-dampness. The selected differentiated proteins can be used to distinguish the EH patients with abundant phlegm-dampness from the healthy persons and the EH patients with non-phlegm-dampness. The molecular biology diagnosis model can offer an objective and accurate way for TCM syndrome differentiation.
研究痰浊壅盛型原发性高血压（EH）患者的血清蛋白质组，试图寻找与痰浊壅盛证相关的特异性蛋白质。
纳入59例高血压患者，将其分为痰浊壅盛证组（39例）和非痰浊证组（20例）。为寻找与痰浊壅盛相关的特异性蛋白质，将非痰浊型EH患者及另外30名健康人作为对照。采用弱阳离子纳米磁珠捕获血清中的蛋白质，通过基质辅助激光解吸电离飞行时间质谱（MALDI-TOF-MS）制作蛋白质组指纹图谱。所有蛋白质组指纹图谱均采用Biomarker Wizard 3.1软件进行分析。然后使用Biomarker Patterns Software（BPS）5.0软件鉴定可诱导痰浊的差异蛋白质。
痰浊壅盛组与对照组之间有102个差异蛋白峰。痰浊壅盛的最佳标志物为质荷比（m/z）为9334.958 m/z（表达增加）、9280.191 m/z（表达降低）、8030.794 m/z（表达增加）和2941.551 m/z（表达增加）的蛋白峰。BPS软件找到的这4个蛋白峰可诱导痰浊壅盛。它们可用于将痰浊壅盛证与健康人和非痰浊型高血压患者区分开来。该模型的灵敏度为93.103%（27/29），特异性为92%（23/25），假阳性率为8%（2/25），假阴性率为6.897%（2/29），约登指数为85.103%。盲法测试数据显示灵敏度为90%（9/10），特异性为88%（22/25），假阳性率为12%（3/25），假阴性率为10%（1/10），约登指数为78%。
痰浊壅盛组与对照组之间的差异蛋白质是痰浊壅盛的物质基础。所筛选出的差异蛋白质可用于区分痰浊壅盛型EH患者与健康人和非痰浊型EH患者。该分子生物学诊断模型可为中医证候鉴别提供客观准确的方法。
