Abstract
Xiaoqinglong decoction (XQLD) is widely used clinically in the treatment of childhood cough variant asthma (CVA). However, its potential mechanism is still unknown. In the present study, the authors investigate the biological network and signalling pathway of XQLD in treatment of childhood CVA using network pharmacology-based analysis and experimental validation. By using the Bioinformatics Analysis Tool Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM) database, the authors confirmed the correlation between XQLD and asthma, and the authors screened 1338 potential target genes of Mahuang and Guizhi, the most active herbs in XQLD. By overlapping "Childhood asthma-related genes" of DisGeNET database, the authors identified 58 intersecting genes of Childhood asthma and 1338 target genes of Mahuang and Guizhi. The intersecting genes were used to construct the protein-to-protein interaction and performed Gene Ontology (GO) functional and the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. Gene Ontology enrichment analysis demonstrated 359 Biological Process terms, 16 Cellular Component terms, and 26 Molecular Function terms. Meantime, 75 terms of Kyoto Encyclopedia of Genes and Genomes signalling pathway were involved in enrichment analysis. These candidates showed a significant correlation with inflammatory response and positive regulation of tyrosine phosphorylation of STAT protein. In addition, XQLD treatment significantly upregulated serum interferon-γ expression, and downregulated serum interlukin-6 expression of CVA mice. XQLD treatment significantly inhibited phosphorylation of STAT3 in bronchial-lung tissues. Our data suggest that XQLD effectively alleviated bronchial-lung tissue damage in CVA mice and inhibited the body inflammatory response by regulating interlukin-6/STAT3 signalling pathway.