| Objective: To reseach the changes of serum protein profiling in infectious mononucleosis were selected for screening specific serum markers. To provide new experimental evidence were selected for personalized medicine such as early diagnosis, change monitoring and prognosis of the infectious mononucleosis. A diagnostic model for IM was constructed and authenticated, thus a new method of molecule diagnosis based on the level of serum protein was finally established. Methods:Corresponding samples of serum protein fingerprints were detected by surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS) and supporting the gold chip to receive 26 cases of the acute IM,18 cases of the recovery IM,11 cases of normal and 12 cases of AURI children's fingerprint serum protein. Screening differentially expressed proteins by Biomarker Wizard 3.1 and Biomarker Patterns System 5.0 software from IM features of proteins, then performance analysis was evaluated by SPSS 11.5.At last, identified though the protein databases and analyzed the differences in protein were applied to analyze the data and a diagnostic model was established. Results:Within the range of mass electron ration (M/Z) of 2000-20000, when a contrast was made between the acute IM and normal group,6 protein peaks were statistically significant (P<0.05),1 peak of which was of high expression, the peak of M/Z 6421.5,and 5 with low expression, the peaks of M/Z 4250.7,4985.1,7840.6,7926.1 and 8836.3, that the peaks of M/Z 7926.1,6421.5 could stable expression, Analysts believe that the protein corresponding to the peak of M/Z 6421.5 may be the IM serum biomarkers; Only 1 protein peak was found significant (P＜0.05) between the acute and recovery IM group, with high expression,the peak of M/Z of 6421.5, that the peak of M/Z 6421.5 and 8836.3 could stable expression, Analysts believe that the protein corresponding to the peak M/Z 6421.5 may be the IM serum biomarkers; 5 protein peaks were found statistically significant(P＜0.05) between the recovery IM and normal group,1 of high expression, the peak of M/Z 6421, and 4 with low expression, the peaks of M/Z 4250.7,4985.1,7926.1,8836.3, that the peaks of M/Z 6421.5 and 7840.6 could stable expression, Analysts believe that the protein corresponding to the peak of M/Z 6421.5 may be the IM serum biomarkers; 2 protein peaks were found statistically significant (P＜0.05) between the acute IM and AUPI group,1 of high expression,the peak of M/Z 6421.5, and 1 with low expression, the peak of M/Z 7840.6, Analysts believe that the protein corresponding to the peak of M/Z 6421.5 may be the IM serum biomarkers; It was not significant between the recovery IM and AUPI group of protein peaks (P> 0.05).That protein with M/Z 6421.5 isn't found by searching the protein library and it may be new protein. By integrating respective the IM serum biomarker from the two types of the protein corresponding to the peak of M/Z 6421.5 into the diagnostic model of artificial neural network, to the diagnostic model of the acute IM with the sensitivity of 100%, specificity of 100%; The stage model of identification of the acute and recovery IM with the sensitivity of 88.9%, specificity of 84.6%;To the diagnostic model of the recovery IM with the sensitivity of 100%, specificity of 100%. Conclusion:We conclude that, (1)There is a significant difference between the levels of serum protein from the acute IM group and normal children, the acute and the recovery IM group children, the recovery IM group and normal children, the acute IM group and AURI children; Analysts believe that the protein corresponding to the peak of M/Z 6421.5 may be IM serum biomarkers; (2)The diagnostic model of protein combination with M/Z 6421.5 could completely and accurately distinguish the acute IM group and normal children, the acute and the recovery IM group children, the recovery IM group and normal children; (3) It was not significant between the recovery IM and AUPI group of protein peaks.
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