Study on the Dynamic Changes in Non-Volatile Metabolites of Rizhao Green Tea Based on Metabolomics.

The processing of tea leaves plays a crucial role in the formation of the taste of the resulting tea. In order to study the compositions of and changes in taste-related substances during the processing of Rizhao green tea, non-targeted metabolomics was used, based on UHPLC-Q Exactive MS. Totals of 529, 349, and 206 non-volatile metabolites were identified using three different detection modes, of which 112 secondary metabolites were significantly changed. Significant variations in secondary metabolites were observed during processing, especially during the drying stage, and the conversion intensity levels of non-volatile metabolites were consistent with the law of "Drying > Fixation > Rolling". The DOT method was used to screen tea-quality-related compounds that contributed significantly to the taste of Rizhao green tea, including (-)-epicatechin gallate, (-)-epicatechin gallate, gallic acid, L-theanine, and L-leucine, which make important contributions to taste profiles, such as umami and bitterness. Metabolic pathway analysis revealed that purine metabolism, caffeine metabolism, and tyrosine metabolism perform key roles in the processing of Rizhao green tea in different processing stages. The results of this study provide a theoretical basis for tea processing and practical advice for the food industry.

The regularity of nourishing-yin prescription for treating ascites due to hepatitis B cirrhosis based on data mining technology.

Background: Clinically, Chinese medicine is mostly used to treat ascites due to hepatitis B cirrhosis by nourishing-yin. We summarize the pattern of prescriptions for nourishing-yin inascites due to hepatitis B cirrhosis based on data mining to better use traditional Chinese medicine (TCM) to treat cirrhotic ascites in hepatitis B. Methods: Articles published from 2000 to 2020 on ascites due to hepatitis B cirrhosis were searched in the Chinese National Knowledge Infrastructure and Chinese Science and Technology Journal Database. The results of the search were screened and then treated as the data sources in turn. Based on the data sources, a prescription database of ascites due to hepatitis B cirrhosis was constructed. The data mining was conducted by statistical analysis of frequency and association. Core herbs, including the property and flavor, channel tropism, regularities of medicinal recipes, and core sets, among others, were examined. Results: Through combing 199 articles, a total of 201 prescriptions were selected, involving 138 kinds of herbs. The efficacy of cold herbs was slightly higher than that of warm herbs. The main flavors of herbs were sweet, bitter, and pungent. There were 30 herbs used ≥26 times in 201 prescriptions. The highest frequency of use was Poria cocos, followed by atractylodis macrocephalae, and radix astragali. Ninety-nine commonly used drug combinations were obtained according to the association rules, of which there were 60 associated drug groups with a frequency ≥34, of which the highest frequency was poria cocos-rhizoma atractylodis macrocephalae, poria cocos-oriental water plantain rhizome, poria cocos-radix astragali. Frequent medicinal recipes consisted largely of medicines for tonifying deficiency, including diuretics for eliminating dampness, medicines for promoting blood circulation and removing blood stasis, and supplements for clearing heat and regulating qi. Conclusions: Through data mining, it was found that when TCM treats ascites due to hepatitis B cirrhosis, it attaches importance to using methods of tonifying deficiency and invigorating spleen for diuresis based on nourishing-yin to improve the clinical efficacy, which can provide reference for TCM's clinical use of nourishing-yin to treat ascites due to hepatitis B cirrhosis.

Self-Assembled and Self-Monitored Sorafenib/Indocyanine Green Nanodrug with Synergistic Antitumor Activity Mediated by Hyperthermia and Reactive Oxygen Species-Induced Apoptosis.

Liver cancer is a leading cause of cancer morbidity and mortality worldwide, especially in China. Sorafenib (SRF) is currently the most commonly used systemic agent against advanced hepatocellular carcinoma (HCC), which is the most common type of liver cancer. However, HCC patients have only limited benefit and suffer a serious side effect from SRF. Therefore, new approaches are urgently needed to improve the therapeutic effectiveness of SRF and reduce its side effect. In our current study, we developed a self-imaging and self-delivered nanodrug with SRF and indocyanine (ICG) to improve the therapeutic effect of sorafenib against HCC. With the π-π stacking effect between SRF and ICG, a one-step nanoprecipitation method was designed to obtain the SRF/ICG nanoparticles (SINP) via self-assembly. Pluronic F127 was used to shield the SINP to further improve the stability in an aqueous environment. The stability, photothermal effect, cell uptake, ROS production, cytotoxicity, tumor imaging, and tumor-targeting and tumor-killing efficacy of the SINP were evaluated in vitro and in vivo by using an HCC cell line Huh7 and its xenograft tumor model. We found that our designed SINP showed monodisperse stability and efficient photothermal effect both in vitro and in vivo. SINP could rapidly enter Huh7 cells and achieve potent cytotoxicity under near-infrared (NIR) laser irradiation partly by producing a great amount of reactive oxygen species (ROS). SINP had significantly improved stability and blood half-life, and could specifically target tumor via the enhanced permeability and retention (EPR) effect in vivo. In addition, SINP showed improved cytotoxicity in both subcutaneous and orthotopic HCC implantation models in vivo. Overall, this rationally designed sorafenib delivery system with a very high loading capacity (33%) has considerably improved antitumor efficiency in vitro and could completely eliminate subcutaneous tumors without any regrowth in vivo. In conclusion, our self-imaging and self-delivered nanodrug could improve the efficacy of SRF and might be a potential therapy for HCC patients.

[Traditional Chinese medicine inheritance system analysis of professor Ding Yuanqing in treating tic disorder medication based on experience].

In recent years, the incidence of tic disorders has increased, and it is not uncommon for the patients to treat the disease. The pathogenesis and pathogenesis of Western medicine are not yet clear, the clinical commonly used western medicine has many adverse reactions, traditional Chinese medicine (TCM) research is increasingly valued. Based on the software of TCM inheritance assistant system, this paper discusses Ding Yuanqing's experience in treating tic disorder with Professor. Collect yuan Qing Ding professor in treating tic disorder of medical records by association rules Apriori algorithm, complex system entropy clustering without supervision and data mining method, carries on the analysis to the selected 800 prescriptions, to determine the frequency of use of prescription drugs, the association rules between the drug and digging out the 12 core combination and the first six new prescription, medication transferred to the liver and extinguish wind, cooling blood and relieving convulsion, Qingxin soothe the nerves, with the card cut, flexible application, strict compatibility.