Objective To establish a quick and simple diagnostic laboratory method with high sensitivity and good specificity for the diagnosis of primary immune thrombocytopenia ITP by studying platelet lysate differential protein in the patients with ITP for understanding its relationship with the onset of ITP .Methods The platelet ly‐sate was detected in 64 cases of ITP and 42 cases of healthy people by surface enhanced laser desorption/ionization‐time of flight‐mass spectrometry(SELDI‐TOF‐MS) technology for obtaining the platelet protein mass spectrum .The differential protein was screened and combined with the artificial neural network(ANN) for establishing the diagnos‐tic model of ITP .Results The protein with the mass electron ratio(m/z) of 3 549 .17 and 7 678 .09 was highly ex‐pressed in the ITP group and which of m/z 5 328 .29 and 7 894 .32 was lowly expressed .The sensitivity and specifici‐ty of the diagnostic model were 93 .3% and 82 .6% respectively .Conclusion The established ANN model on the ba‐sis of platelet protein mass spectrum may have some clinical value for the diagnosis of ITP .%目的：通过对原发免疫性血小板减少症（ITP）患者血小板裂解液差异蛋白的研究，了解其与ITP发病的关系，为IT P的诊断建立一种简便快速、灵敏度高、特异性好的实验方法。方法应用表面增强激光解吸电离飞行时间质谱（SELDI‐TOF‐MS）技术检测64例ITP患者及42例健康者血小板裂解液，获得血小板蛋白质谱图，筛选出差异蛋白，结合人工神经网络（ANN），建立ITP诊断模型。结果质荷比（m／z）为3549．17、7678．09的蛋白在IT P组中高表达，质荷比为5328．29、7894．32的蛋白低表达。诊断模型的灵敏度93．3％，特异度82．6％。结论基于血小板蛋白质谱建立的ANN模型可能对ITP的诊断具有一定的临床价值。
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