Chinese Herbal Medicines最新文献

Natto is a soybean product fermented by natto bacteria. It is rich in a variety of amino acids, vitamins, proteins and active enzymes. It has a number of biological activities, such as thrombolysis, prevention of osteoporosis, antibacterial, anticancer, antioxidant and so on. It is widely used in medicine, health-care food, biocatalysis and other fields. Natto is rich in many pharmacological active substances and has significant medicinal research value. This paper summarizes the pharmacological activities and applications of natto in and outside China, so as to provide references for further research and development of natto.

Some Chinese herbs have been used to prevent and treat diseases, and are also used as common food ingredients. These Chinese herbs are potential resource for research and development of new drugs. Leek roots is a typical medicine of food and medicine continuum. It has a long history of medicinal applications and edible food in China. In this paper, the origin, biological active components, pharmacological action and clinical application of leek roots were introduced. We hope that this review will contribute to the development of leek roots for pharmaceutical research and clinical applications, as well as related health products.

Objective

To establish a deep-learning architecture based on faster region-based convolutional neural networks (Faster R-CNN) algorithm for detection and sorting of red ginseng (Ginseng Radix et Rhizoma Rubra) with internal defects automatically on an online X-ray machine vision system.

Methods

A Faster R-CNN based classifier was trained with around 20 000 samples with mean average precision value (mAP) of 0.95. A traditional image processing method based on feedforward neural network (FNN) obtained a bad performance with the accuracy, recall and specificity of 69.0%, 68.0%, and 70.0%, respectively. Therefore, the Faster R-CNN model was saved to evaluate the model performance on the defective red ginseng online sorting system.

Results

An independent set of 2 000 red ginsengs were used to validate the performance of the Faster R-CNN based online sorting system in three parallel tests, achieving accuracy of 95.8%, 95.2% and 96.2%, respectively.

Conclusion

The overall results indicated that the proposed Faster R-CNN based classification model has great potential for non-destructive detection of red ginseng with internal defects.

Phyllanthi Fructus is a highly unique medicine and food homologous item, which exhibits distinctive flavor, notable nutritional value, and abundant pharmacological activity. It has enormous potential in the creation of health products and pharmaceuticals. However, due to the unique laws of quality formation and transfer of Phyllanthi Fructus, its appearance, shape, chemical compositions, nutrients, and sensory flavors are frequently greatly influenced by botanical resources, the processing and storage conditions. As a result, the current quality evaluation model is difficult to meet the needs of Phyllanthi Fructus as a medicine and food homologous item in the development of diversified products. This paper constructs the hierarchical utilization mode of Phyllanthi Fructus based on its unique quality formation and transmission laws, explores the quality evaluation model for food-oriented use and medicinal-oriented use, respectively, and systematically describes the quality evaluation idea under diversified application scenarios. This paper aims to serve as a reference for the construction of a quality evaluation model suitable for the medicine and food homologous item of Phyllanthi Fructus.

Edible bird’s nest (EBN) is a kind of natural invigorant with a long history of consumption in Asia, especially in China. EBN is formed by mixing the saliva of swiftlets (Aerodramus) with feathers and other components during the breeding season. Proteins are the most important nutrient in EBN. By studying proteins in EBN, we can not only elucidate their components at the molecular level, but also study their bioactivities. Therefore, it is of great significance to study the proteins in EBN. Previous research on the proteins in EBN was preliminary and cursory, and no one has summarized and analyzed the proteins in EBN and correlated the bioactivities of these proteins with the biological functions of EBN. This article focused on the proteins in EBN, listed the proteins identified in different proteomic studies, and introduced the sources, structures and bioactivities of the most frequently identified proteins, including acidic mammalian chitinase, lysyl oxidase homolog 3, mucin-5AC, ovoinhibitor, nucleobindin-2, calcium-binding protein (MW: 4.5 × 10⁴) and glucose-regulated protein (MW: 7.8 × 10⁴). The properties of these proteins are closely related to the bioactivities of EBN. Therefore, this article can provide inspiration for further research on the efficacy of EBN.

Ganoderma lucidum is a valuable medical macrofungus with a myriad of diverse secondary metabolites, in which triterpenoids are the major constituents. This paper introduced the germplasm resources of genus Ganoderma from textual research, its distribution and identification at the molecular level. Also we overviewed G. lucidum in the components, the biological activities and biosynthetic pathways of ganoderic acid, aiming to provide scientific evidence for the development and utilization of G. lucidum germplasm resources and the biosynthesis of ganoderic acid.

Objective

To investigate the chemical constituents from the leaves of Jatropha curcas and evaluate their inhibition on lipopolysaccharide (LPS)-activated BV-2 microglia cells.

Methods

The n-BuOH extract of the leaves of J. curcas was isolated by macroporous adsorption resin, silica gel, ODS, column chromatography and semi-preparative HPLC. The structures of the compounds were identified by MS, NMR, ECD, and other spectroscopic methods. In addition, anti-neuroinflammatory effects of isolated compounds were evaluated by measuring the production of nitric oxide (NO) in over-activated BV-2 cells.

Results

Seventeen compounds, including (7R,8S)-crataegifin A-4-O-β-D-glucopyranoside (1), (8R,8′R)-arctigenin (2), arctigenin-4′-O-β-D-glucopyranoside (3), (-)-syringaresinol (4), syringaresinol-4′-O-β-D-glucopyranoside (5), (-)-pinoresinol (6), pinoresinol-4′-O-β-D-glucopyranoside (7), buddlenol D (8), (2R,3R)-dihydroquercetin (9), (2S,3S)-epicatechin (10), (2R,3S)-catechin (11), isovitexin (12), naringenin-7-O-β-D-glucopyranoside (13), chamaejasmin (14), neochamaejasmin B (15), isoneochamaejasmin A (16), and tomentin-5-O-β-D-glucopyranoside (17) were isolated and identified. Compounds 2, 4 and 8 significantly inhibited the release of NO in BV-2 microglia activated by LPS, with IC₅₀ values of 18.34, 29.33 and 26.30 μmol/L, respectively.

Conclusion

Compound 1 is a novel compound, and compounds 2, 3, 8, 14–17 are isolated from Jatropha genus for the first time. In addition, the lignans significantly inhibited NO release and the inhibitory activity was decreased after glycosylation.

Objective

Pseudostellaria heterophylla has been paid more attention in recent years, mainly as a medicine food homology plant. The content determination of P. heterophylla is not specified in the Chinese Pharmacopoeia (version 2020). The environmental conditions in different production areas could exert an influence on the quality of P. heterophylla. The purpose of this study is to discriminate P. heterophylla collected from different geographical origins of China.

Methods

In this study, the content of polysaccharide in 28 batches of P. heterophylla was determined using phenol–sulfuric acid. HPLC fingerprints were established under optimised HPLC-PDA methods. Subsequently, the similarity analysis (SA) and the quantification of heterophyllin B were analyzed. The metabolites of P. heterophylla were identified and evaluated using UHPLC-Q Exactive HF orbitrap MS system. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), hierarchical cluster analysis (HCA) and orthogonal PLS-DA (OPLS-DA) were performed based on all peak areas.

Results

The polysaccharide content in Guizhou and Jiangsu was higher than that of other production areas, which varied significant from different origins. While the content of heterophyllin B in Anhui and Jiangsu was high. The correlation coefficients of HPLC fingerprints for 28 batches samples ranged from 0.877 to 0.990, and the characteristic map can be used to identify and evaluate the quality of P. heterophylla. The samples from Fujian, Guizhou, Jiangsu provinces can be relatively separated using multivariate statistical analysis including PCA, PLS-DA, HCA, OPLS-DA, indicating that their metabolic compositions were significantly different. Ultimately, a total of 15 metabolites which were filtrated by a VIP-value > 1 and a P-value < 0.05 associated with the separation of different origins were identified.

Conclusion

HPLC fingerprint was established to evaluate the quality and authenticity of P. heterophylla. The present work showed that the difference of geographic distributions had an influence on the internal chemical compositions. A sensitive and rapid untargeted metabolomics approach by UHPLC-Q Exactive HF orbitrap MS was utilized to evaluate P. heterophylla from different origins in China for the first time. Overall, this study provides insights to metabolomics of P. heterophylla and supplies important reference values for the development of functional foods.

Objective

Phenolic acids widely exist in the human diet and exert beneficial effects such as improving glucose metabolism. It is not clear whether phenolic acids or their metabolites play a major role in vivo. In this study, caffeic acid (CA) and ferulic acid (FA), the two most ingested phenolic acids, and their glucuronic acid metabolites, caffeic-4′-O-glucuronide (CA4G) and ferulic-4′-O-glucuronide (FA4G), were investigated.

Methods

Three insulin resistance models in vitro were established by using TNF-α, insulin and palmitic acid (PA) in HepG2 cells, respectively. We compared the effects of FA, FA4G, CA and CA4G on glucose metabolism in these models by measuring the glucose consumption levels. The potential targets and related pathways were predicted by network pharmacology. Fluorescence quenching measurement was used to analyze the binding between the compounds and the predicted target. To investigate the binding mode, molecular docking was performed. Then, we performed membrane recruitment assays of the AKT pleckstrin homology (PH) domain with the help of the PH-GFP plasmid. AKT enzymatic activity was determined to compare the effects between the metabolites with their parent compounds. Finally, the downstream signaling pathway of AKT was investigated by Western blot analysis.

Results

The results showed that CA4G and FA4G were more potent than their parent compounds in increasing glucose consumption. AKT was predicted to be the key target of CA4G and FA4G by network pharmacology analysis. The fluorescence quenching test confirmed the more potent binding to AKT of the two metabolites compared to their parent compounds. The molecular docking results indicated that the carbonyl group in the glucuronic acid structure of CA4G and FA4G might bind to the PH domain of AKT at the key Arg-25 site. CA4G and FA4G inhibited the translocation of the AKT PH domain to the membrane, while increasing the activity of AKT. Western blot analysis demonstrated that the metabolites could increase the phosphorylation of AKT and downstream glycogen synthase kinase 3β in the AKT signaling pathway to increase glucose consumption.

Conclusion

In conclusion, our results suggested that the metabolites of phenolic acids, which contain glucuronic acid, are the key active substances and that they activate AKT by targeting the PH domain, thus improving glucose metabolism.