Genus Paeonia monoterpene glycosides: A systematic review on their pharmacological activities and molecular mechanisms.

BACKGROUND: Genus Paeonia, which is the main source of Traditional Chinese Medicine (TCM) Paeoniae Radix Rubra (Chishao in Chinese), Paeoniae Radix Alba (Baishao in Chinese) and Moutan Cortex (Mudanpi in Chinese), is rich in active pharmaceutical ingredient such as monoterpenoid glycosides (MPGs). MPGs from Paeonia have extensive pharmacological effects, but the pharmacological effects and molecular mechanisms of MPGs has not been comprehensively reviewed. PURPOSE: MPGs compounds are one of the main chemical components of the genus Paeonia, with a wide variety of compounds and strong pharmacological activities, and the structure of the mother nucleus-pinane skeleton is similar to that of a cage. The purpose of this review is to summarize the pharmacological activity and mechanism of action of MPGs from 2012 to 2023, providing reference direction for the development and utilization of Paeonia resources and preclinical research. METHODS: Keywords and phrases are widely used in database searches, such as PubMed, Web of Science, Google Scholar and X-Mol to search for citations related to the new compounds, extensive pharmacological research and molecular mechanisms of MPGs compounds of genus Paeonia. RESULTS: Modern research confirms that MPGs are the main compounds in Paeonia that exert pharmacological effects. MPGs with extensive pharmacological characteristics are mainly concentrated in two categories: paeoniflorin derivatives and albiflflorin derivatives among MPGs, which contains 32 compounds. Among them, 5 components including paeoniflorin, albiflorin, oxypaeoniflorin, 6'-O-galloylpaeoniflorin and paeoniflorigenone have been extensively studied, while the other 28 components have only been confirmed to have a certain degree of anti-inflammatory and anticomplementary effects. Studies of pharmacological effects are widely involved in nervous system, endocrine system, digestive system, immune system, etc., and some studies have identified clear mechanisms. MPGs exert pharmacological activity through multilateral mechanisms, including anti-inflammatory, antioxidant, inhibition of cell apoptosis, regulation of brain gut axis, regulation of gut microbiota and downregulation of mitochondrial apoptosis, etc. CONCLUSION: This systematic review delved into the pharmacological effects and related molecular mechanisms of MPGs. However, there are still some compounds in MPGs whose pharmacological effects and pharmacological mechanisms have not been clarified. In addition, extensive clinical randomized trials are needed to verify the efficacy and dosage of MPGs.

[Transcriptomics of therapeutic effect of Huangqi Liuyi decoction in treating type 2 diabetes].

In this study, Illumina sequencing platform was applied in sequencing rat pancreas, counting expression of target points, analyzing expression differences among blank group, model group and Huangqi Liuyi decoction group and exploring the therapeutic effect and mechanism of Huangqi Liuyi decoction on type 2 diabetes mellitus. According to the result, 24.25% of these genes belonged to the unknown functional class, which was the largest classification unit according to the classification analysis of genes by eggNOG. The rest were classified as energy conversion, amino acid transport and metabolism, nucleotide transport and metabolism, carbohydrate transport and metabolism, coenzyme transport and metabolism, and lipid transport and metabolism, etc.Huangqi Liuyi decoction may play a therapeutic role in the treatment of type 2 diabetes mellitus through four metabolic pathways, namely environmental information processing, cellular process, organismal system and human diseases according to KEGG enrichment analysis. This study shows that, Huangqi Liuyi decoction can significantly improve the fasting blood glucose and glycosylated hemoglobin in type 2 diabetic rats.

[Model Predicts of Astragalus membranceus Transcriptional Gene].

Objective: Astragali Radix, one of the most widely used traditional Chinese medicines, has been extracted a variety of efficiently ingredients. However, the formation mechanism of the secondary metabolites is still unclear and the genome of Astragali Radix has not been sequenced yet. This study aimed at predicting gene model according to transcriptome data, which can be helpful to the use of Astragalus membranceus in the medicine field. Methods: Based on the transcriptome data of Astragalus membranceus and the existing whole genome sequence of its closely related species, the unigene of transcriptome of Astragalus membranceus was predicted and analyzed. Results: Astragalus membranceus had close genetic relationship with Glycine max,Medicago truncatula and Lotus japonicus. Astragalus membranceus shared 2 039 sequences with Medicago truncatula, and their base similarity was 90. 14%. There were 1 948 sequences matched up with Glycine max, and their base similarity was 90. 40%. In the aligement of Astragalus membranceus and Lotus corniculatus, the matched sequences dropped to 1 003,and the base similarity dropped to 89. 77%. Conclusion: The matched gene with three species discributed in chromosome genomes and extrachromosomal genome.

High-throughput analysis and characterization of Astragalus membranaceus transcriptome using 454 GS FLX.

Astragalus membranaceus (Fisch.) Bge (AR), one of the most important medicinal plants in Asia, was found to exhibit various bioactivities. Due to limited genomic and transcriptomic data, the biosynthetic pathway of the major bioactive compound in AR, is currently unclear. In this study, 454 GS FLX technology was employed to produce a substantial expressed sequence tag (EST) dataset from the AR. In all, 742721 high-quality reads from the AR were produced using Roche GS FLX Titanium. A total of 9893 unique sequences were obtained and annotated by a similarity search against the public databases, and involved in the secondary metabolic pathway, which would facilitate deciphering the molecular mechanism of secondary metabolism in AR. The assembled sequences were annotated with gene names and Gene Ontology (GO) terms. GO revealed the unique sequences that could be assigned to 34 vocabularies. In the KEGG mapping, unique sequences were established as associated with 46 biochemical pathways. These results provided the largest EST collections in AR and will contribute to biosynthetic and biochemical studies that lead to drug improvement. With respect to the genes related to metabolism and biosynthesis pathway were also found. Our work demonstrated the utility of 454 GS FLX as a method for the rapid and cost-effective identification of AR transcriptome, and this EST dataset will be a powerful resource for further studies such as taxonomy, molecular breeding, and secondary metabolism in AR.