AIM: To explore the mechanism of action of alkaloid components of compound kushen Injection (CKI) in the treatment of lung cancer based on serum metabolomics, network pharmacology, and molecular docking techniques. METHODS: A lung cancer model was established in C57 mice by inoculation of Lewis mouse lung cancer tumor strain. Thirty male mice were randomly divided into normal group, model group and CKI group. The drug was administered by tail vein injection once daily for 17 consecutive days. Mouse serum was examined by ultrahigh performance liquid chromatography tandem mass spectrometry (LC-MS) metabolomics, and several multivariate statistical analyses including principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA), combined with databases such as the human metabolic database (HMDB) and related literature to identify and identify differential metabolites, the relevant metabolic pathways were searched for by the metaboanalyst online tool. Using network pharmacology, construct the“component-target-disease”network of CKI in the treatment of lung cancer. Molecular docking method was used to verify the interaction between potential active ingredients and core targets. Serum metabolomics was jointly analyzed with network pharmacology to construct a“metabolite-germinal-enzyme-gene” network. RESULTS: Through metabolomics technology, 16 differential metabolites associated with lung cancer were screened from serum, and CKI addback these differential metabolite levels compared with the model group. Metabolic pathways mainly involve retinol metabolism, tryptophan metabolism, glycerophospholipid metabolism and other metabolic pathways. Network pharmacology analysis indicated that CKI treatment of lung cancer mainly targets STAT3, MAPK3, and MAPK1, which are closely related to proteoglycans, cellular senescence, and HIF − 1 signaling pathways in cancer. CONCLUSION: This article explains the mechanism of CKI in treating lung cancer from the perspective of metabonomics and network pharmacology, and provides basis for further study of CKI.

AIM: To study the effect of Qingdaipowder Gel (QDPG) on mice specific dermatitis (AD) model and the antibacterial effect of the ethanol extract of Qingdaipowder. METHODS: AD model of mice was established by repeated skin induction with 2,4-dinitrochlorobenzene (DNCB). Fifty-six mice were randomly divided into blank group, model group, Hydrocortisone Butyrate Cream group (Hyd, 1.5 mg/cm

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection can cause acute respiratory distress syndrome, hypercoagulability, hypertension, and multiorgan dysfunction. Effective antivirals with safe clinical profile are urgently needed to improve the overall prognosis. In an analysis of a randomly collected cohort of 124 patients with COVID-19, we found that hypercoagulability as indicated by elevated concentrations of D-dimers was associated with disease severity. By virtual screening of a U.S. FDA approved drug library, we identified an anticoagulation agent dipyridamole (DIP) , which suppressed SARS-CoV-2 replication . In a proof-of-concept trial involving 31 patients with COVID-19, DIP supplementation was associated with significantly decreased concentrations of D-dimers ( < 0.05), increased lymphocyte and platelet recovery in the circulation, and markedly improved clinical outcomes in comparison to the control patients. In particular, all 8 of the DIP-treated severely ill patients showed remarkable improvement: 7 patients (87.5%) achieved clinical cure and were discharged from the hospitals while the remaining 1 patient (12.5%) was in clinical remission.