Echinatin suppresses esophageal cancer tumor growth and invasion through inducing AKT/mTOR-dependent autophagy and apoptosis.

Esophageal squamous cell carcinoma (ESCC) is one of the most common malignant tumors with poor survival. It is urgent to search for new efficient drugs with good stability and safety for clinical therapy. This study aims to identify potential anticancer drugs from a compound library consisting of 429 natural products. Echinatin, a compound isolated from the Chinese herb Glycyrrhiza uralensis Fisch, was found to markedly induce apoptosis and inhibit proliferation and colony-formation ability in ESCC. Confocal fluorescence microscopy data showed that echinatin significantly induced autophagy in ESCC cells, and autophagy inhibitor bafilomycinA1 attenuated the suppressive effects of echinatin on cell viability and apoptosis. Mechanistically, RNA sequencing coupled with bioinformatics analysis and a series of functional assays revealed that echinatin induced apoptosis and autophagy through inactivation of AKT/mTOR signaling pathway, whereas constitutive activation of AKT significantly abrogated these effects. Furthermore, we demonstrated that echinatin had a significant antitumor effect in the tumor xenograft model and markedly suppressed cell migration and invasion abilities of ESCC cells in a dose-dependent manner. Our findings provide the first evidence that echinatin could be a novel therapeutic strategy for treating ESCC.

Synephrine Hydrochloride Suppresses Esophageal Cancer Tumor Growth and Metastatic Potential through Inhibition of Galectin-3-AKT/ERK Signaling.

A library consisting of 429 food-source compounds was used to screen the natural products with anticancer properties in esophageal squamous cell carcinoma (ESCC). We demonstrated for the first time that synephrine, an active compound isolated from leaves of citrus trees, markedly suppressed cell proliferation (inhibition rate with 20 µM synephrine at day 5:71.1 ± 5.8% and 75.7 ± 6.2% for KYSE30 and KYSE270, respectively) and colony formation (inhibition rate with 10 µM synephrine: 86.5 ± 5.9% and 82.3 ± 4.5% for KYSE30 and KYSE270, respectively), as well as migration (inhibition rate with 10 µM synephrine: 76.9 ± 4.4% and 62.2 ± 5.8% for KYSE30 and KYSE270, respectively) and invasion abilities (inhibition rate with 10 µM synephrine: 73.3 ± 7.5% and 75.3 ± 3.4% for KYSE30 and KYSE270, respectively) of ESCC cells in a dose-dependent manner, without significant toxic effect on normal esophageal epithelial cells. Mechanistically, quantitative proteomics and bioinformatics analyses were performed to explore the synephrine-regulated proteins. Western blot and qRT-PCR data indicated that synephrine may downregulate Galectin-3 to inactivate AKT and ERK pathways. In addition, we found that the sensitivity of ESCC to fluorouracil (5-FU) could be enhanced by synephrine. Furthermore, in vivo experiments showed that synephrine had significant antitumor effect on ESCC tumor xenografts in nude mice (inhibition rate with 20 mg/kg synephrine is 61.3 ± 20.5%) without observed side effects on the animals. Taken together, synephrine, a food-source natural product, may be a potential therapeutic strategy in ESCC.

[Modern research and application of Longgu].

Longgu is the fossil of ancient mammals which was used as a common kind of mineral medicine. Longgu is always used to treat neurological diseases. Currently, the quality standard of Longgu is incomplete. Moreover, because of the non-renewable nature of the resource and the increase of national protection of fossils, the clinical application of Longgu is facing a series of problems. As the discovery of the ingredient and the development of forging technology researchers launched to search the substitutes of Longgu. The article summarizes the usage and the study of Longgu, in order that we can discuss the modern usage and substitutability of Longgu.

[Analysis of volatile compounds of fresh tea leaves from yaoluoping nature preserve by SDE-GC-MS].

OBJECTIVE: To study the volatile compounds of fresh tea leaves from Yaoluoping Nature Preserve, and to provide scientific basis for the quality and medicinal value of tea from high mountainous area. METHODS: The volatile compounds were extracted from fresh tea leaves by simultaneous distillation and extraction, and analyzed by gas chromatography-mass spectrum (GC-MS). RESULTS: 41 volatile compounds were identified from two tea cultivars, Shifoxiang and Shifocui. Shifoxiang had 32 kinds of volatile compounds and Shifocui had 38 kinds of volatile compounds. The main volatile components of Shifoxiang and Shifocui were green leaf volatiles. The kind and relative content of terpenes of Shifocui were more than that of Shifoxiang. Also the kind and relative content of ketones of Shifocui were more than that of Shifoxiang. There was one kind of heterocyclic compound of Shifocui. CONCLUSION: The main volatile components of Shifoxiang and Shifocui had an important role for the formation of unique aroma of high mountain ous tea. The composition and proportion of volatile components between Shifoxiang and Shifocui had certain differences. Some trace components may be associated with defense in the process of tea plant growth. The functional components from the volatile components had good medicinal value, worthy of further research.

[Study on chromatography-efficacy relationship of anti-inflammatory activity of qizhi weitong particle compound herbs with neural network and gray correlation method].

OBJECTIVE: To establish the chromatography-efficacy relation method for analyzing the anti-inflammatory activity of Qizhi Weitong particles, in order to lay a foundation for quality control and pharmacodynamic evaluation of traditional Chinese medicine compounds. METHOD: On the basis of a full-time multi-wavelength fusion fingerprint of Qizhi Weitong particles, the latin hypercube sampling was used to divide six herbs in Qizhi Weitong particles into groups of different proportions to determine their inhibition ratios of TNF-alpha, IL-6 and NO released by LPS-induced RAW264. 7 cells. Pharmaeodynamic data and chemical information of HPLC fingerprints of each group were analyzed with the gray correlation method to get the anti-inflammatory effect of each chromatographic peak, and then fitted with BP neural network to establish the chromatography-efficacy relation. RESULT: There were 25 peaks closely related to the anti-inflammatory activity. With the 25 peaks as input items, the 3-BP network was adopted to establish the neural network model for anti-inflammatory effect of Qizhi Weitong particles. CONCLUSION: With an error of less than 7%, the model could better fit with the complicated non-linear relation of the compound, and applied in studying the chromatography-efficacy relation. In this study on the chromatography-efficacy relation, a new method is established to evaluate the anti-inflammatory activity of Qizhi Weitong particles. It is of practical significance as an effective approach for controlling quality and exploring the material basis for efficacy of traditional Chinese medicine compounds.