Activiteit

This review provides evidences for the effectiveness and scientificity of CMM in regulating autophagy, in the expectation of providing references for the in-depth studies of CMM in the field of autophagy and the development of natural autophagy regulators.Pyrrolizidine alkaloids(PAs) are a group of naturally occurring alkaloids with a pyrrolizidine skeleton which can be found in about 3% of the world’s flowering plants. It is notorious that PAs are cause the hepatoxic and genotoxic-carcinogenic effects by taking PA-containing herbs, food and dietary supplements. In order to control the poisoning caused by PAs, European Medicines Agency has set a limit of intake of PAs from herbal medicinal products at 0.007 μg of 1,2-unsaturated PAs/kg body weight. Nonetheless, a systematic overview of the amount of PAs in the herb has not been provided. Therefore, this paper is to systematically review the current status of PAs content analysis of herbal medicines and foods reported in the literature, and to provide theoretical and experimental support for the safety risk assessment and control of PAs in Chinese herbal medicines.AP2/ERF transcription factor is a kind of transcription factors widely existing in plants, and contains at least a conserved AP2/ERF domain composed of about 60-70 amino acids. AP2/ERF transcription factors are widely involved in a variety of physiological processes in plants, including plant development, fruit ripening, flower development and other plant development processes, as well as such stress response processes as damage, pathogen defense, high-salt condition and drought. In recent years, secondary metabolic engineering that takes transcription factors as genetic manipulation targets has developed rapidly in improving the content of active ingredients and the quality of medicinal plants. This paper reviews the recent progress in the regulation of secondary metabolites biosynthesis with AP2/ERF transcription factors, and provides theoretical basis for the exploration of efficient regulatory targets, the regulation of secondary metabolites in medicinal plants, the targeted improvement of the content of active ingredients in traditional Chinese medicine, and the sustainable supply of high-quality traditional Chinese medicines.As a single-cell organism, Plasmodium has a large and complex metabolic network system. There is a close relationship between various metabolic pathways to maintain the transformation of Plasmodium’s own energy and substances. UC2288 research buy Plasmodium energy metabolism pathways mainly include glycolysis and oxidative phosphorylation. Among them, Plasmodium at the erythrocytic stage takes glycolysis as the main energy supply method, and less energy is generated by oxidative phosphorylation. In addition, the two carbon metabolism pathways closely relating to energy metabolism are the tricarboxylic acid(TCA) cycle pathway and glutamate metabolism pathway. As the core of metabolism, the TCA cycle connects glycolysis and glutamate metabolism; glutamate metabolism, as the main carbon metabolism pathway, also participates in various metabolic pathways, such as pyrimidine metabolism, porphyrin metabolism, and protein biosynthesis. This article reviews the energy metabolism pathways of Plasmodium and carbon metabolism pathways that are closely related to energy metabolism, in order to deepen the understanding of the energy metabolism of Plasmodium at the erythrocytic stage, and then provide the theoretical basis and references for studying the mechanisms of action and the drug resistance of antimalarial drugs.This study aimed to explore the optimal indications and mechanism of Uncariae Ramulus cum Uncis(UR)-Eucommiae Cortex(EC) in lowering blood pressure based on network pharmacology and molecular docking. Chemical constituents were collected and screened by TCMSP database. Swiss Target Prediction platform was used to predict the related targets of the drug. OMIM, TCMIP and GeneCards databases were used to collect hypertension-related genes, and the intersections were taken to obtain potential targets for anti-hypertensive treatment of UR-EC. FunRich software was used to enrich the clinical phenotype and expression site of potential target of lowering blood pressure to analyze and predict the optimal indications of UR-EC. STRING database was used for KEGG pathway enrichment analysis, and Cytoscape 3.7.2 was used to construct the network of “composition-target-pathway”. The key targets and their corresponding components in the network were analyzed and obtained, and then molecular docking was applied for preliminary verification. Twenty potential active components of UR and 24 potential active components of EC were respectively collected, and 92 anti-hypertensive potential targets of UR-EC were obtained. According to FunRich enrichment results, the optimal indication of UR-EC was pregnancy hypertension, which involved calcium signaling pathway, HIF-1 signaling pathway, neuroactive ligand receptor interaction, renin vascular tightening, VEGF signaling pathway, etc. In addition, AKT1, NOS2, ADRB2, F2, NOS3, SCN5 A, HTR2 A and JAK2 were considered as the key targets in the network. The molecular docking results showed that the screened potential active components had high binding activity with the key targets. This study preliminarily revealed that UR-EC may have therapeutic effects on pregnancy hypertension in terms of sedation, anti-hypertension, anti-inflammatory, anti-oxidation, improvement of vascular endothelial function and so on.Hypertension is a kind of chronic cardiovascular system disease caused by a series of factors and carriers dysfunction, which belongs to the category of Tibetan medicine “Chalong disease”, and has a high rate of disability and mortality. Zuomua Decoction is a classical Tibetan medicine for Chalong disease, but its mechanism is not clear. Therefore, in this paper we explored the multi-components, multi-targets and multi-channels mechanism of Zuomua Decoction in the treatment of hypertension based on network pharmacology and molecular docking technology. First of all, the chemical components of Zuomua Decoction were obtained in the retrieval of traditional Chinese medicine systems pharmacology database(TCMSP), China National Knowledge Infrastructure(CNKI) and Wanfang database. The potential targets of Zuomua Decoction were predicted by BATMAN-TCM database, and the targets of hypertension were obtained by using DisGeNET database. The intersection of these two targets set was taken to obtain the potential targets of Zuomua Decoction in the treatment of hypertension, and then the chemical compositions-targets network was constructed.