基于液体芯片-飞行时间质谱分析的肺结核患者血清差异表达蛋白

Analysis of differentially expressed protein in lung tuberculosis based on MB-MALDI-TOF-MS

目的应用液体芯片-飞行时间质谱技术分析肺结核患者和正常对照人群的血清蛋白多肽图谱,找出组间具有统计学意义的差异表达蛋白多肽,从而筛选出肺结核的标志蛋白多肽峰图(m/z)。方法应用2种液体蛋白芯片技术(MB-WCX和MB-IMAC-CU)结合飞行时间质谱(MALDI-TOF-MS)对14例病理确诊的肺结核患者和32例正常对照人群进行血清蛋白多肽图谱分析;采用ClinProTools软件分析肺结核患者和正常对照组的组间差异表达蛋白。结果 MB-WCX型液体蛋白芯片处理后共获得74个蛋白多肽峰图,其中42个蛋白多肽峰图呈组间极显著差异(P<0.001)表达。MB-IMAC-CU型液体蛋白芯片处理后共获得68个蛋白多肽峰图,有11个蛋白多肽呈组间极显著差异(P<0.001)表达,且其中的8个峰图与MB-WCX型液体芯片检出的组间极显著差异峰图完全相同。经MB-WCX处理所获的42个差异蛋白多肽峰图中有17个蛋白多肽在肺结核患者组中表达上调,其余25个蛋白多肽在肺结核患者组中表达下调。结论利用液体芯片-飞行时间质谱技术可以从肺结核患者的血清中获得稳定丰富的蛋白多肽图谱,并且能够筛选出潜在的疾病标志物。

Objective To screen potential specific biomarkers in the serum of lung tuberculosis patients using pre-fractionated magnetic beads based sample fractionation method combined with matrix-assisted laser desorption/ionization time of flight mass spectrometry(MALDI-TOF-MS) technology.Methods We compared serum proteomic profiling of 14 lung tuberculosis patients and 32 healthy controls by MB-MALDI-TOF-MS(MB-WCX and MB-IMC-CU).Results By analyzing the spectra(screened from the two groups) using the ClinProTools software 2.2,42 and 11 peaks had significantly different expressions(P<0.001) between the two groups of all 74 and 68 peaks generated from analysis of MB-MALDI-TOF-MS(MB-WCX and MB-IMC-CU).In addition,8 of the 11 peaks were the same as those in the 42 peaks,and 17 peaks were up-expressed while 25 were down-expressed in lung tuberculosis patients with 42 peaks.Conclusion We were able to identify proteomic patterns that can clearly distinguish between patients with lung tuberculosis and healthy controls based on MB-MALDI-TOF-MS analysis.