Identification of the absorptive constituents and their metabolites in vivo of Ziziphi Spinosae Semen by UPLC-ESI-Q-TOF-MS/MS

Comparative Analysis of the Sedative and Hypnotic Effects among Various Parts of Zizyphus spinosus Hu and Their Chemical Analysis

Zizyphus spinosus Hu (ZS), as a "medicinal and food-homologous" plant, has been used for a long history. The study was to assess the sedative and hypnotic effects among various parts of ZS. The model, diazepam (DZP), ZS kernel (ZSS), ZS flesh (ZSF), and ZS husk (ZSKS) group occurred subsequent to the successful establishment of the para-chlorophenylalanine induced insomnia model via intraperitoneal injection. The latency and duration of sleep in mice in each group were recorded. The substance basis of various parts of ZS was analyzed by the UPLC-QTOF-MS technique. The results showed that relative to the model group, DZP, ZSS, ZSF, and ZSKS groups demonstrated shortened sleep latency (p < 0.05) and extended sleep duration (p < 0.01). The GABA, 5-HT, and BDNF levels were significantly upregulated in the brain tissues of the mice in the DZP, ZSF, and ZSS groups (p < 0.01). However, the improvement in ZSKS was non-significant. Additionally, the mRNA and protein expression levels of 5-HT1AR, GABAARα1, and BDNF in mice in the DZP, ZSS, and ZSF groups were significantly enhanced (p < 0.01). However, the improvement in the ZSKS group was insignificant (p < 0.05). The examination of the substance composition across different parts revealed that the shared chemical basis contributing to the sedative and hypnotic potency of different parts of ZS may involve the presence of compounds such as (1) magnoflorine, (8) betulinic acid, (9) ceanothic acid, and (10) alphitolic acid. It provides a basis for further elucidation of the substance basis responsible for the functional and medicinal effects of ZS.

An UHPLC-QTOF-MS-based strategy for systematic profiling of chemical constituents and associated in vivo metabolites of a famous traditional Chinese medicine formula, Yinchenhao decoction

Yinchenhao decoction (YCHD), a famous traditional Chinese medicine formula, has been applied for relieving jaundice in China for more than 1800 years. However, the material basis for YCHD is still unclear, and the chemical composition and metabolism characteristic in vivo are undefined, making the potential effective constituents and mechanism of action unclear. Herein, an ultrahigh-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS)-based strategy was applied for the chemical profiling of YCHD, as well as their in vivo prototypes and global metabolites that defined the metabolome. Our results showed that a total of 139 chemicals were identified in YCHD, including 28 organic acids, 12 monoterpenoids, five diterpenes, three triterpenoids, 17 iridoids, 23 anthraquinones, 26 flavonoids, four coumarins and 21 other types. Moreover, 58 prototypes and 175 metabolites were found in rat biological samples after oral administration of YCHD; those distributed in plasma, liver, intestine and feces were suggested to be potentially effective substances. Oxidation, hydrogenation, decarboxylation and conjugations with methyl, sulfate and glucuronate were considered as the predominant metabolic pathways in vivo. In conclusion, this is a systemic study of chemical constituents and in vivo metabolome profiles of YCHD, contributing to the material basis understanding and further mechanism research.

Research progress of quality control for the seed of Ziziphus jujuba var. spinosa (Bunge) Hu ex H.F. Chow (Suan-Zao-Ren) and its proprietary Chinese medicines

ETHNOPHARMACOLOGICAL RELEVANCE

Semen Ziziphi Spinosae (SZS), the seed of Ziziphus jujuba var. spinosa (Bunge) Hu ex H.F. Chow (Chinese name Suan-Zao-Ren), is widely distributed in China, Laos, Myanmar, and Iran. It is a classic traditional Chinese medicine with sedative and sleeping effects. In clinical practice, there are more than 155 proprietary Chinese medicines containing SZS. However, many commercial SZS products are difficult to qualify using current methods. Moreover, there is a scarcity of quality standards for SZS in proprietary Chinese medicines.

AIM OF THE STUDY

The purpose of this study was to clearly reveal the quality indicators during the entire production process of SZS and its products.

MATERIALS AND METHODS

This study reviewed more than 230 articles and related books on the quality control of SZS and its proprietary Chinese medicines published over the last 40 years (from January 1979 to October 2022). Moreover, where available, information on the quality of SZS and its proprietary Chinese medicines was also collected from websites for comparison, including online publications (e.g. PubMed, CNKI, Google Scholar, and Web of Science), the information at Yaozhi website and China Medical Information Platform, along with some classic books on Chinese herbal medicine. The literature and information search were conducted using keywords such as "Suan-Zao-Ren", " Ziziphus jujuba" and "quality control", and the latest results from various databases were combined to obtain valid information. The active components, which in vivo exposure, and Q-markers were also summarized.

RESULTS

The jujuboside A, jujuboside B, and spinosin were revealed as the key Q-markers for SZS. Moreover, the advancements and prospects of the quality control for SZS and its extract, proprietary Chinese medicines, health foods, and adulterants were comprehensively summarized. The high-performance liquid chromatography-UV/evaporative light scattering detection and fingerprint analysis were found to be the mainstream methods for the SZS quality control. In particular, the novel quality evaluation method based on the unit content was applied for SZS and its proprietary Chinese medicines. Significant fluctuations were found in the contents of Q-markers. Moreover, the mass transfer rule of Q-markers was comprehensively clarified based on the entire production process, including production origins, ripening time, primary process, processing, compatibility decoction/extract, and storage. Ultimately, the crushing and compatibility of SZS were found to be the key steps affecting the active components.

CONCLUSIONS

In short, this study provides solid evidences to reveal quality indicators for the entire production process of developing rational quality standards for SZS and its products. Moreover, this study also provides a template quality control overview, which could be extended to other traditional Chinese medicines.

Comprehensive characterization of multiple components of Ziziphus jujuba Mill using UHPLC-Q-Exactive Orbitrap Mass Spectrometers

Ziziphus jujuba Mill is the dried ripe fruit of the Rhamnaceae family; it is widely distributed in Shandong, Henan, Liaoning, and other places in China. In folk medicine, it was used to restore vital energy, as a blood tonic, and for the treatment of spleen deficiency. To date, a complete investigation of the compounds of Z. jujuba has rarely been performed. Therefore, a reliable strategy based on UHPLC-Q-Exactive Orbitrap MS, combined with trace data acquisition mode (parallel reaction monitoring scanning, PRM) and multiple data processing methods, is necessary for the characterization of compounds in the Z. jujuba. Ultimately, 295 compounds, including 69 flavonoids, 60 alkaloids, 82 phenylpropanoids, 52 organic acids, and 32 other components, were identified in the Z. jujuba; of these, 270 have been reported in Z. jujuba for the first time. This study provides deep insights into the chemistry of Z. jujuba and could be useful for further studies aimed at identifying the factors contributing to the health benefits attributed to this fruit.

Mechanisms Underlying the Action of Ziziphi Spinosae Semen in the Treatment of Insomnia: A Study Involving Network Pharmacology and Experimental Validation

Purpose: This study aimed to investigate the potential mechanisms and related bioactive components of ZSS for the treatment of insomnia. Method: The insomnia model of rat induced by PCPA was established. After oral administration of ZSS extract, the general morphological observation, pentobarbital sodium-induced sleep test and histopathological evaluation were carried out. Network pharmacology, assisted by UHPLC-Q-Exactive-MS/MS analysis, was developed to identify the targets of ZSS in the treatment of insomnia, as well as the corresponding signaling pathways. In addition, we validated the identified targets and pathways by RT-qPCR and immunohistochemical analysis. Results: The pentobarbital sodium-induced sleep test, determination of 5-HT and GABA levles in hypothalamic tissues and HE staining showed that ZSS extract was an effective treatment for insomnia. Network pharmacology analysis identified a total of 19 candidate bioactive ingredients in ZSS extract, along with 433 potentially related targets. Next, we performed protein-protein interaction (PPI), MCODE clustering analysis, GO functional enrichment analysis, KEGG pathway enrichment analysis, and ingredient-target-pathway (I-T-P) sub-networks analysis. These methods allowed us to investigate the synergistic therapeutic effects of crucial pathways, including the serotonergic and GABAergic synapse pathways. Our analyses revealed that palmitic acid, coclaurine, jujuboside A, N-nornuciferine, caaverine, magnoflorine, jujuboside B, and betulinic acid, all played key roles in the regulation of these crucial pathways. Finally, we used the PCPA-induced insomnia in rats to validate the data generated by network pharmacology; these in vivo experiments clearly showed that pathways associated with the serotonergic and GABAergic system were activated in the rats model. Furthermore, ZSS treatment significantly suppressed high levels of HTR1A, GABRA1, and GABRG2 expression in the hypothalamus and reduced the expression levels of HTR2A. Conclusion: Based on the combination of comprehensive network pharmacology and in vivo experiments, we successfully identified the potential pharmacological mechanisms underlying the action of ZSS in the treatment of insomnia. The results provide a theoretical basis for further development and utilization of ZSS, and also provide support for the development of innovative drugs for the treatment of insomnia.

Exploration of Ziziphi Spinosae Semen in Treating Insomnia Based on Network Pharmacology Strategy

Ziziphi Spinosae Semen (ZSS) is a common natural medicine used to treat insomnia, and to show clearly its method of action, we managed and did an in-depth discussion. Network pharmacology research is very suitable for the analysis of multiple components, multiple targets, and multiple pathways of Traditional Chinese Medicine (TCM). According to the relevant theory, we first carefully collected and screened the active ingredients in ZSS and received 11 active ingredients that may work. The targets going along with these active components were also strongly related to insomnia targets, 108 common genes were identified, and drug-compound-gene symbol-disease visualization network and protein-protein interaction network were constructed. Forty-eight core genes were identified by PPI analysis and subjected to GO functional analysis with KEGG pathway analysis. The results of GO analysis pointed that there were 998 gene ontology items for the treatment of insomnia, including terms of 892 biological processes, 47 cellular components, and 59 molecular functions. It mainly shows the coupling effect and transport mode of some proteins in the biological pathways of ZSS in the treatment of insomnia and explains the mechanism of action through the connection between the target and the cell biomembrane. KEGG enrichment analyzed 19 signaling pathways, which were collectively classified into seven categories. We have identified the potential pathways of ZSS against insomnia and obtained the regulatory relationship between core genes and pathways and know that the same target can be regulated by multiple components at the same time. The results of molecular docking also prove this conclusion. We sought to provide a new analytical approach to explore TCM treatments for diseases using network pharmacology analysis tools.