[Identification of Q-markers for Schisandrae Sphenantherae Fructus in treating drug-induced liver injury based on network pharmacology, fingerprint and quantitative analysis].

This study aims to establish the ultra-performance liquid chromatography(UPLC) fingerprint and multi-indicator quantitative analysis method for Schisandrae Sphenantherae Fructus(SSF) and to screen out the potential quality markers(Q-markers) of hepatoprotection based on network pharmacology. The similarity analysis was performed using the Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System, which showed that the similarity of the fingerprints of 15 samples from different regions ranged from 0.981 to 0.998. Eighteen common components were identified, from which 3 differential components were selected by cluster analysis and principal component analysis. The "component-target-pathway" network was built to predict the core components related to the hepatoprotective effects. Fourteen core components were screened by network pharmacology. They acted on the targets such as AKT1, CCND1, CYP1A1, CYP3A4, MAPK1, MAPK3, NOS2, NQO1, and PTGS2 to regulate the signaling pathways of lipid metabolism and atherosclerosis, hepatitis B, interleukin-17, and tumor necrosis factor. Considering the chemical measurability, characteristics, and validity, schisantherin A, anwulignan, and schisandrin A were identified as the Q-markers. The content of schisantherin A, anwulignan, and schisandrin A in the test samples were 0.20%-0.57%, 0.13%-0.33%, and 0.42%-0.70%, respectively. Combining the fingerprint, network pharmacology, and content determination, this study predicted that schisantherin A, anwulignan, and schisandrin A were the Q-markers for the hepatoprotective effect of SSF. The results can provide reference for improving the quality evaluation standard and exploring the hepatoprotective mechanism of SSF.

Using CIVT-SELEX to Select Aptamers as Genetic Parts to Regulate Gene Circuits in a Cell-Free System.

The complexity of genetic circuits has not seen a significant increase over the last decades, even with the rapid development of synthetic biology tools. One of the bottlenecks is the limited number of orthogonal transcription factor-operator pairs. Researchers have tried to use aptamer-ligand pairs as genetic parts to regulate transcription. However, most aptamers selected using traditional methods cannot be directly applied in gene circuits for transcriptional regulation. To that end, we report a new method called CIVT-SELEX to select DNA aptamers that can not only bind to macromolecule ligands but also undergo significant conformational changes, thus affecting transcription. The single-stranded DNA library with affinity to our example ligand human thrombin protein is first selected and enriched. Then, these ssDNAs are inserted into a genetic circuit and tested in the in vitro transcription screening to obtain the ones with significant inhibitory effects on downstream gene transcription when thrombins are present. These aptamer-thrombin pairs can inhibit the transcription of downstream genes, demonstrating the feasibility and robustness of their use as genetic parts in both linear DNAs and plasmids. We believe that this method can be applied to select aptamers of any target ligands and vastly expand the genetic part library for transcriptional regulation.

[Simultaneous determination of glucosinolates and flavonoids in leaves of Moringa oleifera by quantitative analysis of multi-components by single-marker (QAMS)].

To establish a method for simultaneously determining the content of four glucosinolates and five flavonoids in leaves of Moringa oleifera via quantitative analysis of multi-components by single-marker(QAMS) and verify the feasibility and applicability of the established method. The glucosinolates and flavonoids were analyzed via Waters Acquity UPLC HSS T_3 column(2.1 mm × 100 mm, 1.8 µm). The gradient elution was carried out with the mobile phase composed of 0.1% formic acid-acetonitrile and 0.3% formic acid at the flow rate of 0.4 mL·min~(-1) and the column temperature of 40 ℃. The wavelengths for the detection of glucosinolates and flavonoids were 225 nm and 260 nm, respectively. With 4-O-(α-L-rhamnoyloxy)-benzyl glucosinolate and vecenin-2 as internal reference substances, the relative correction factors of four glucosinolates and five flavonoids were respectively calculated for determining the content of the 9 ingredients in leaves of M. oleifera. To verify the accuracy and feasibility of QAMS, we used internal standard method(ISM) and external standard method(ESM) to determine the content of glucosinolates and flavonoids, respectively. The t-test results showed that there was no significant difference in the content of glucosinolates obtained by ISM and QAMS methods or in the content of flavonoids obtained by ESM and QAMS methods. The content of glucosinolates and flavonoids varied among M. oleifera of different varieties and from different producing areas. The total glucosinolates and total flavonoids had the highest content in the Indian variety while the lowest content in the variety ■Honghe No. 1'. The established QAMS method is rapid, simple and accurate and can be used for simultaneous determination of glucosinolates and flavonoids in the leaves of M. oleifera. This study provides experimental data for the quality control and utilization of M. oleifera leaves.

[Mechanism of Magnoliae Officinalis Cortex in treatment of peptic ulcer based on network pharmacology and molecular docking].

Magnoliae Officinalis Cortex(Houpo) can treat peptic ulcer disease(PUD), the mechanism of which remains unclear. In this study, network pharmacology and molecular docking were employed to predict the mechanism of Houpo in the treatment of PUD. Through literature review and TCMSP screening, 15 main active ingredients were obtained. The SwissTargetPrediction database was used to predict the potential targets of the ingredients, and Therapeutic Target Database(TTD), DrugBank, and Human Phenotype Ontology(HPO) to screen the disease-related targets. A total of 49 potential targets were obtained by the intersection of active ingre-dients-related targets and disease-related targets. Cytoscape 3.6.1 was employed to construct the protein-protein interaction network for the targets with high confidence(score>0.700) screened out by STRING. The DAVID database was used for GO and KEGG pathway enrichment of potential targets. GO enrichment analysis showed that the treatment mechanism was mostly related to nuclear receptor activity, ligand-activated transcription factor activity, and G protein-coupled acetylcholine receptor activity. KEGG enrichment analysis found that Houpo could regulate material metabolism, endocrine system, p53 signaling pathway, and PPAR signaling pathway. Molecu-lar docking verified that all 15 ingredients had good binding activities with key targets(CHRM1, CHRM2, FABP1, mTOR, and STAT3). The results mean that Houpo can treat PUD by participating in cell metabolism, inhibiting inflammatory cytokines, and regulating cell proliferation and apoptosis.