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Salivary cytokine profile in patients with oral lichen planus
Zheng-Da Zhu1,2, Xiao-Meng Ren1, Mi-Mi Zhou1,3
1Department of Oral Medicine, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & NMPA Key Laboratory for Dental Materials, Beijing, China.
Background/Purpose:
Oral lichen planus (OLP) is a chronic inflammatory lesion of oral mucosal, and its pathogenesis involves immune cell-mediated aberrances. However, the findings conflict with each other. This research aimed to comprehensively detect the salivary cytokine profile of patients with OLP.
Materials And Methods:
The cohort included 60 OLP patients (30 reticular and 30 erosive), and 30 healthy controls, matched in age and sex. Human Cytokine/Chemokine Magnetic Bead Panel Kit (HCYTMAG-60K-PX41) was used to detect salivary inflammation-related cytokines. Rank sum test, group t-test, and ANOVA were used for data analysis in different groups. Moreover, Spearman's rank correlation analysis was used to analyze the correlation between salivary cytokine levels and OLP lesion severity.
Results:
The levels of TNF-α, G-GSF, IL-1α, IL-1β and IL-8 were statistically significant higher in both erosive and reticular OLP patients than in the healthy group, while the IL-13 level was significantly lower. Particularly, the salivary TNF-α, GM-CSF, MIP-1α, MIP-1β, IL-1β, IL-6 and IL-8 levels were higher in erosive OLP group than other groups. Spearman's rank correlation analysis revealed that the salivary TNF-α, GM-CSF, MIP-1α, MIP-1β, IL-1β and IL-6 levels were positively correlated with OLP lesion severity.
Conclusion:
Imbalance of the Th1/Th2-mediated immune response contributes to OLP. Certain salivary cytokines, such as MIP-1α, MIP-1β, GM-CSF, and IL-6, are positively correlated with OLP severity, and they have a high potential as biomarkers to diagnose and predict OLP prognosis.
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