To search for potent drugs against non-small-cell lung cancer(NSCLC),a series of hybrids(9a-9e, 10a-10e and 11a-11e﹚ from anilinopyrimidines and diazeniumdiolates were designed and synthesized.The MTT assay was employed to evaluate their antiproliferative activity against H1975 cells harboring epithelial growth factor receptor(EGFR)L858R/T790M mutation.The results showed that compounds 9a-9e displayed remarkable inhibitory activity on H1975 cells.Among these compounds, the most potent was compound 9b(IC50=0.65 μmol/L),which was superior to the positive control gefitinib.Additionally,molecular docking study indicated that 9b could bind with EGFR T790M by forming hydrogen bond, electrostatic interactions, et al, suggesting that compound 9b may be a potential anti-NSCLC agent for further investigation.

Objective:To investigate the complex Calculus Bovis-target-keratitis network and to explore the molecular mechanism of Calculus Bovis treating keratitis through network pharmacology. Methods:Genes related to keratitis were searched in the online DisGeNET database and the protein-protein interaction (PPI) network of keratitis-associated proteins was constructed.The components isolated and identified in Calculus Bovis were collected through the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP, https: //tcmsp-e.com/tcmsp.php), Chemistry Database by Shanghai Institute of Organic Chemistry of CAS (http: //www.organchem.csdb.cn), and published literature.The canonical SMILES information of the collected components was exported, which were submitted to the SwissTargetPrediction platform to predict potential targets of the components.The active component-predicted target network of Calculus Bovis was constructed and merged with the PPI network of keratitis-associated proteins to build the active component-potential target network of Calculus Bovis and systemically investigate the potential targets and signal pathways of Calculus Bovis in treatment of keratitis.The component-target-pathway network was established to analyze the mechanism of Calculus Bovis treating keratitis. Results:Thirty-nine components isolated and identified in Calculus Bovis were searched and 65 target genes related to keratitis were screened.Of the 28 potential targets involved in Calculus Bovis treating keratitis, there were 7 direct targets, including tumor necrosis factor, caspase 1, Toll-like receptor 9, C-X-C motif chemokine ligand 8, interleukin-6, mitogen-activated protein kinase 8, neurotrophic receptor tyrosine kinase 1.The 28 potential targets were annotated to 12 entries for biological process, 18 for cellular components and 13 for molecular function.In the Kyoto encyclopedia of genes and genomes pathway enrichment analysis, 10 signal pathways were identified as enriched categories, which were mainly related to human cytomegalovirus infection, amoebiasis, antifolate resistance, PI3K-Akt signaling pathway, rheumatoid arthritis, apoptosis, cytokine-cytokine receptor interaction, malaria, non-alcoholic fatty liver disease, interleukin-17 signaling pathway. Conclusions:Calculus Bovis may play an adjuvant therapeutic effect on keratitis through anti-inflammatory, antibacterial, antiviral, immune regulation, inflammatory regulation and other functions.

ObjectiveTo investigate the effects of Asari Radix et Rhizoma-Zingiberis Rhizoma herb pair （XGHP） on lung and liver lipid metabolism in rats with chronic obstructive pulmonary disease （COPD）. MethodForty SD male rats were divided into a normal group （10 rats） and a model group （30 rats）. The method of cigarette smoke + tracheal injection of lipopolysaccharide（LPS） + cold stimulation was used to replicate COPD model with the syndrome of cold phlegm obstruction in lung. A COPD group， a XGHP group （5.4 g·kg^-1·d^-1）， and an aminophylline group （0.5 g·kg^-1·d^-1） were established after successfully inducing the model， with 10 rats in each group. After treatment， the serum triglyceride （TG）， total cholesterol （TC）， high-density lipoprotein cholesterol （HDL-C）， and low-density lipoprotein cholesterol （LDL-C） levels of rats in each group were measured. Gas chromatography-mass spectrometer （GC-MS） was used to detect the differential metabolites in the lung and liver tissues of rats in each group， and the relevant targets of the differential metabolites were predicted by network pharmacology. Molecular docking was used to verify the binding ability of key components in XGHP to the relevant targets in network pharmacology. The mRNA and protein expression levels of peroxisome proliferator-activated receptor α （PPARα） and fatty acid binding protein 4 （FABP4） in lung and liver tissues of rats in each group were detected by real-time polymerase chain reaction （PCR） and Western blot. ResultXGHP significantly increased the levels of TG， TC， and LDL-C in serum （P<0.05）， and decreased the level of HDL-C （P<0.05） in rats with COPD. GC-MS results showed that there were 8 lung differential metabolites and 17 liver differential metabolites in the COPD group and XGHP group. Network pharmacology predicted 59 common targets for the two differential metabolites， mainly enriched in the PPAR signaling pathway. Molecular docking results showed that the main components in XGHP were well combined with both PPARα and FABP4. Real-time PCR showed that XGHP effectively up-regulated the expression levels of PPARα and FABP4 mRNA （P<0.05）， and Western blot showed that XGHP effectively up-regulated the expression levels of PPARα and FABP4 proteins （P<0.05） in lung and liver tissues of rats with COPD. ConclusionXGHP effectively improves the blood lipid levels of rats with COPD， which may be related to the increase of the expression levels of PPARα and FABP4 mRNA and proteins in the PPAR signaling pathway， thus regulating lung and liver lipid metabolism.