Objective To explore the potential molecular mechanism of Sangma Xingbei Tang （SMXBT） in the treatment of acute exacerbation of chronic obstructive pulmonary disease （AECOPD）. Methods TCMSP and TCMID databases were searched for the active ingredients of SMXBT, the targets of the active ingredients were predicted by SwissTargetPrediction database, and the AECOPD-related targets were searched by GeneCards and OMIM databases; the drug-active ingredient-target network and protein interaction network were constructed, and the GO enrichment and KEGG pathway enrichment were analyzed by the DAVID database. The drug-active ingredient-target network and protein interaction network were constructed, and the GO enrichment and KEGG pathway enrichment were analyzed by DAVID database, and molecular docking was performed by AutoDock Tools software. Animal experiments were conducted for validation. Results 192 active ingredients were obtained and 1066 targets were predicted in SMXBT. Network analysis showed that the top 3 active ingredients in SMXBT were quercetin, kaempferol, and glycyrrhizin, and the top 3 therapeutic targets were TNF, ALB, and IL-1β, etc. The GO analysis and KEGG showed that the main pathways were the cancer pathway, the MAPK signaling pathway, and the PI3K-Akt signaling pathway. Molecular docking showed that the binding energies of glycyrrhizin and AKT1, IL-1β, GFR, SRC, and quercetin and kaempferol and IL-1β were all <−5 kcal·mol. Animal experiments showed that Sangma Xingbei Decoction could treat AECOPD by anti-inflammatory effects and reduce changes in lung tissue structure. Additionally, it could lower the serum inflammatory levels of TNF-α, IL-6, and IL-8. Conclusion SMXBT may act on the targets of AKT1, IL-1β, EGFR, SRC, etc., reduce the serum inflammation levels of TNF-α, IL-6, IL-8, and improve the lung tissue structure and inflammatory response to achieve the therapeutic effect on AECOPD through the modulation of the PI3K/Akt signaling pathway, the MAPK signaling pathway, the cancer pathway, and other pathways of action.

Objective To explore the mechanism of Xiakucao Xiaoliu Mixture against non-small cell lung cancer （NSCLC）. Methods The effective components of Xiakucao Xiaoliu Mixture were screened by TCMSP, BATMAN-TCM database and literature reviews. The targets of effective components were predicted. NSCLC related targets were collected by GeneCards, OMIM, PharmGKB, TTD and Drugbank, combined with the differential genes of Xiakucao Xiaoliu Mixture against Lewis lung cancer mice. The intersection targets of Xiakucao Xiaoliu Mixture against NSCLC were obtained. Cytoscape software was used to construct the network diagram of traditional Chinese medicine-active ingredients-core targets. STRING database was used to construct PPI network diagram. GO function enrichment analysis and KEGG pathway enrichment analysis of the intersection targets were performed by Metascape database to predict the key targets and active components of Xiakucao Xiaoliu Mixture against NSCLC, and Schrodinger software was used to perform molecular docking verification. Results The 32 active components and 24 intersection targets of Xiakucao Xiaoliu Mixture against NSCLC were obtained. 11 core targets such as ESR1, MAPK1 were found. The mechanism of action may be related to 30 signaling pathways such as cellular senescence, receptor activation, prolactin signaling pathway. Conclusion The active components of Xiakucao Xiaoliu Mixture act on multiple targets and signaling pathways to regulate complex biological processes. By regulating ESR1 agsinst NSCLC, it may play an important role in improving the survival rate and prognosis of female patients.