Exploring the mechanism of Xiaoqinglong decoction in the treatment of infantile asthma based on network pharmacology and molecular docking

Caffeic acid, a dietary polyphenol, pre-sensitizes pancreatic ductal adenocarcinoma to chemotherapeutic drug

Resistance to chemotherapeutics is an eminent cause that leads to search for options that help in diminution of pancreatic ductal adenocarcinoma (PDAC) by overcoming resistance issues. Caffeic acid (CFA), a polyphenol occurring in many dietary foods, is known to show antidiabetic and anticancer properties potential. To unveil the effect of CFA on PDAC, we carried out this research in PDAC cells, following which we checked the combination effect of CFA and chemotherapeutics and pre-sensitization effects of CFA. Multitudinous web-based approaches were applied for identifying CFA targets in PDAC and then getting their interconnections. Subsequently, we manifested CFA effects by in-vitro analysis showing IC50 concentrations of 37.37 and 15.06 µM on Panc-1 and Mia-PaCa-2, respectively. The combination index of CFA with different drugs was explored which showed the antagonistic effects of combination treatment leading to further investigation of the pre-sensitizing effects. CFA pre-sensitization reduced IC50 concentration of doxorubicin in both PDAC cell lines which also triggered ROS generation determined by 2',7'-dichlorofluorescin diacetate assay. The differential gene expression analysis after CFA treatment showed discrete genes affected in both cells, i.e. N-Cad and Cas9 in Panc-1 and Pi3K/AkT/mTOR along with p53 in Mia-PaCa-2. Collectively, this study investigated the role of CFA as PDAC therapeutics and explored the mechanism in mitigating resistance of PDAC by sensitizing to chemotherapeutics.Communicated by Ramaswamy H. Sarma.

Elucidating the material basis and potential mechanisms of Daqinglong Decoction acting on influenza by UPLC-Q-TOF/MS and network pharmacology

Daqinglong Decoction (DQLD), a traditional Chinese medicine (TCM) prescription firstly recorded in Shang han lun (the treatise on febrile diseases), has been used hundreds of years for the clinical treatment of influenza. However, the chemical composition and therapeutic mechanism of this prescription are unclear. UPLC-Q-TOF/MS was employed to analyze the chemical compounds in both methanol and boiling water extracts of DQLD. The compounds were then screened, characterized, and filtered using the TCMSP, TCMIP, TCM-ID and SymMap database, with a focus on their oral bioavailability and drug-likeness values. The resulting data were analyzed and optimized using the R language platform, Autodock and Gromacs software to identify biological processes and pathways. A total of 121 compounds were identified, of which 5 showed good binding ability to influenza virus targets (1L1B, IL10, CASP3, STAT3, TNF, and others). The active ingredient-target-influenza virus pathway was constructed using a network drug target analysis model prediction of DQLD, which was mainly enriched in Human cytomegalovirus infection, PI3K-Akt, HIF-1, and other signaling pathways through 1L1B, IL10 and other targets. Those pathways highly correlated to the body's inflammatory response, improve immunity, and exert anti-influenza virus effects. In summary, this study demonstrated that DQLD's active ingredients can effectively bind to influenza virus targets and exert anti-influenza virus effects by reducing inflammation and improving immunity through Human cytomegalovirus infection, PI3K-Akt and HIF-1 signaling pathways. These findings offer important insights into the potential mechanisms of action of DQLD and its potential use as a TCM against influenza and other viral infections.Communicated by Ramaswamy H. Sarma.