Abstract

To investigate the application of metabonomics in the diagnosis of allergic rhinitis. Eighty male Kunming mice were randomly divided into two groups, control group (30 mice) and allergic rhinitis (AR) group (50 mice). After modeling, removal behavior score more than 6 and retain 30 mice behavior score equal to 6.Collect the mice peripheral blood and preparate blood serum, using UPLC-MS chromatographic separation and detection. The data were pretreated by SPSS and Excel, after chromatographic peak matching by MZmine. Firstly , delete interference data in accordance with the 80% rule .Then, the investigate data were analyzed by PLS-DA and PCA-X. Three-dimensional view of the control group (30 mice) and AR group (30 mice) blood serum data was drawn using PCA-X and PLS-DA method. The two groups of samples could be completely separated through views, which showed that there was a significant difference between the two groups of data. There were some differences in the blood metabolites between the control group and AR group . The study showed that it was scientific and feasible to diagnose AR using the metabonomics.

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