[A preliminary study on the biomarkers of local inflammation in allergic rhinitis]

Objective:This study aimed to explore the biomarkers in nasal secretion that can assist in the diagnosis of allergic rhinitis（AR） and can be used to evaluate the therapeutic effect of AR. Methods:Thirty-three patients with AR and 21 healthy controls were included. The nasal secretion of healthy controls and patients with AR（before and after treatment） were collected. The cytology, the concentrations of cytokines（IL-5, IL-6, IL-8, IL-33, IFN-γ） and inflammatory mediators（ECP, MPO） were detected. Then, we compared the differences of various biomarkers between healthy controls and AR patients（before and after treatment group）. And analyzed the correlation between each biomarkers/biomarkers difference value/the percentage of biomarkers difference value and clinical symptom score/ score difference value / the percentage of score difference value. Results:Compared with normal controls, the levels of ECP, IL-5, IL-6, IL-8, IL-33 and IFN-γ in nasal secretion of AR patients were significantly higher than those of normal controls（P<0.05）. There was no significant difference in MPO. After treatment, ECP decreased significantly（P<0.01）, inflammatory cell grade and eosinophil percentage are also decreased（P<0.01）. However, MPO, IL-5, IL-6, IL-8, IL-33 and IFN-γ did not change significantly. The difference value of ECP before and after treatment was correlated with the difference value of VAS score（r=0.348, P=0.047）. The difference value of IL-5 was correlated with the difference value of VAS score and rhinorrhea, the correlation coefficients were 0.406（P=0.019） and 0.429（P=0.013）, respectively. The difference value of eosinophil percentage in nasal secretion before and after treatment was correlated with nasal congestion, and the correlation coefficient was 0.383. The difference value of eosinophil percentage multiplied by inflammatory cell grade before and after treatment was correlated with VAS score（r=0.417, P=0.016） and nasal congestion difference value（r=0.519, P=0.002）. The percentage of difference value of IFN-γ before and after treatment was correlated with the percentage of difference value of VAS score / rhinorrhea / sneeze / total nasal symptom score. Conclusion:ECP, IL-6, IL-8 and IL-33 in nasal secretion are expected to be objective biomarkers for auxiliary diagnosis of AR. And ECP, IL-5, IFN-γ, eosinophil percentage multiplied by grade is expected to be an objective index to judge the improvement of patients' symptoms after treatment.