Chai-Gui Decoction and its representative components ameliorate spontaneous hypertension rats by modulating lipid metabolism and gut microbiota.

ETHNOPHARMACOLOGICAL RELEVANCE: Hypertension coincides with the category of "vertigo" and/or "headache" on the basis clinical manifestations and traditional Chinese medicine (TCM) theory. Chai-Gui Decoction (CGD), which is in usage for relieving "vertigo" and/or "headache", had been demonstrated to be useful in ameliorating hypertension. AIM OF STUDY: This study was planned to investigate the mechanism of CGD and its components in hypertension by using spontaneous hypertension rat (SHR). MATERIALS AND METHODS: CGD extract and its classification component samples (compounds in plasma, CP; compounds in gut, CG; compounds in plasma and gut, CPG) were prepared for animal experiment. SHR rats were induced with CGD extract (3 g/kg/d BW, 5 g/kg/d BW, 15 g/kg/d BW) and CGD-component classes (CP = 19.501 mg/kg/d, CG = 5.240 mg/kg/d, CPG = 24.741 mg/kg/d) for 4 weeks. Blood pressure (BP) and indexes of renin-angiotensin-aldosterone system (RAAS system) were measured. Histopathology was carried out to assess the efficacy of CGD and its components on aorta tissues. Untargeted metabolomics of lipid from rat serum samples were applied by Ultra-High performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) and chemometric analysis to explore the relationship between metabolic pathways and hypertension. 16S rRNA gene sequencing of rat colon content and bioinformatics analysis were used to characterize the effects of CGD and its components on the gut microbiota composition of SHR rats. RESULTS: CGD and its component mixtures showed antihypertensive effect on SHR rats, decreased the blood pressure and reduced the aortic wall thickness in SHR rats. CGD and its component mixtures could improve the RAAS in SHR rats, including increase the percentage of angiotensin 1-7 (Ang 1-7), decrease the percentage of angiotensin II (Ang II), and decrease the Ang Ⅱ/Ang 1-7 ratio. CGD and its component mixtures could regulate the metabolome in SHR rats, mainly as decreasing the higher serum levels of Lysophosphatidylcholine (LPC) 16: 0, LPC 20: 4, and LPC 22: 6. In addition, bacteria from family S24-7 were negatively correlated with levels of LPE 16:0, LPE 18:0, LPE 18:1, and LPE 18:2. CONCLUSION: CGD and its component mixtures exhibited antihypertensive effect on SHR rats. The underlying mechanism could be related to modulation on RAAS, LPC metabolism and the bacterial abundance of family S24-7 in gut.

Determination and Comparison of Short-Chain Fatty Acids in Serum and Colon Content Samples: Alzheimer's Disease Rat as a Case Study.

Short-chain fatty acids (SCFAs) are the main microbial fermentation products from dietary fibers in the colon, and it has been speculated that they play a key role in keeping healthy in the whole-body. However, differences in SCFAs concentration in the serum and colon samples had attracted little attention. In this study, we have optimized the extract and analysis methods for the determination of ten SCFAs in both serum and colon content samples. Methanol and acetonitrile were chosen for extraction of SCFAs from serum and colon content samples, respectively. Biological samples were collected from Alzheimer's disease rats treated by extract of Schisandra chinensis (Turcz.) Baill (SC-extract) were taken as research objects. The results showed that, the relative peak intensities of SCFAs in the colon content from all groups were quite similar, and the trend was identical in the serum samples. Compared with the values in humans, the ratio of ten SCFAs in rat's colon was similar, while the percent of acetate in rat's serum was significantly higher. For therapy of Alzheimer's disease (AD), SC-extract decreased the concentration of butyrate, 3-Methyvalerate, and caproate in the serum samples towards the trend of normal rats. This study may help our understanding of how SCFAs are transported across colonic epithelium in healthy and diseased organisms.

In Vitro and In Vivo Anti-AChE and Antioxidative Effects of Schisandra chinensis Extract: A Potential Candidate for Alzheimer's Disease.

Acetylcholinesterase (AChE) inhibition and antioxidants are two common strategies for the treatment in the early stage of Alzheimer's Disease (AD). In this study, extracts from nine traditional Chinese medical (TCM) herbs were tested for anti-AChE activity by Ellman's microplate assay and cytotoxicity by CCK-8. Based on its excellent AChE inhibition effect and its lowest cytotoxicity, Schisandra chinensis (SC) extract was selected to do the mechanism research. SC extract protected pheochromocytoma (PC12) cells against H2O2-induced toxicity by improving the cell survival rate in a dose-dependent manner. And it also showed significant free radical (DPPH) scavenging activities, ferric reducing antioxidant power (FRAP), and 2,2'-Azino-bis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging. To confirm these results, the scopolamine-induced mice models were utilized in this study. Compared with the positive drug (piracetam), SC could also exhibit similar effects to alleviate the mice's cognitive deficits. Moreover, in the mice brain samples, the AChE activity and malondialdehyde (MDA) levels of SC-treatment group both showed a reverse as compared to model group. Taken together, these results all suggested that SC extract may be a potential therapeutic candidate for AD.

Dose-response characteristics of Clematis triterpenoid saponins and clematichinenoside AR in rheumatoid arthritis rats by liquid chromatography/mass spectrometry-based serum and urine metabolomics.

Clematidis Radix et Rhizoma is a traditional Chinese medicine widely used for treating arthritic disease. Clematis triterpenoid saponins (TS) and clematichinenoside AR (C-AR) have been considered to be responsible for its antiarthritic effects. However, the underling mechanism is still unclear because of their low bioavailability. To address of this issue, metabolomics tools were performed to determine metabolic variations associated with rheumatoid arthritis (RA) and responses to Clematis TS, C-AR and positive drug (Triptolide, TP) treatments. This metabolomics investigation of RA was conducted in collagen-induced arthritis (CIA) rats. Liquid chromatography/mass spectrometry and multivariate statistical tools were used to identify the alteration of serum and urine metabolites associated with RA and responses to drug treatment. As a result, 45 potential metabolites associated with RA were identified. After treatment, a total of 24 biomarkers were regulated to normal like levels. Among these, PC(18:0/20:4), 9,11-octadecadienoic acid, arachidonic acid, 1-methyladenosine, valine, hippuric acid and pantothenic acid etc, were reversed in Clematis TS and C-AR groups. Tetrahydrocortisol was regulated to normal levels in Clematis TS and TP groups, while 3,7,12-trihydroxycholan-24-oic acid was regulated in C-AR and TP groups. Biomarkers like citric acid, p-cresol glucuronide, creatinine, cortolone were reversed in TP group.

Structural characterization and discrimination of Chinese medicinal materials with multiple botanical origins based on metabolite profiling and chemometrics analysis: Clematidis Radix et Rhizoma as a case study.

Traditional Chinese medicines (TCMs)-based products are becoming more and more popular over the world. To ensure the safety and efficacy, authentication of Chinese medicinal materials has been an important issue, especially for that with multiple botanical origins (one-to-multiple). Taking Clematidis Radix et Rhizoma (CRR) as a case study, we herein developed an integrated platform based on metabolite profiling and chemometrics analysis to characterize, classify, and predict the "one-to-multiple" herbs. Firstly, the predominant constituents, triterpenoid saponins, in three Clematis CRR were rapid characterized by a novel UPLC-QTOF/MS-based strategy, and a total of 49 triterpenoid saponins were identified. Secondly, metabolite profiling was performed by UPLC-QTOF/MS, and 4623 variables were extracted and aligned as dataset. Thirdly, by using pattern recognition analysis, a clear separation of the three Clematis CRR was achieved as well as a total number of 28 variables were screened as the valuable variables for discrimination. By matching with identified saponins, these 28 variables were corresponding to 10 saponins which were identified as marker compounds. Fourthly, based on the relative intensity of the marker compounds-related variables, genetic algorithm optimized support vector machines (GA-SVM) was employed to predict the species of CRR samples. The obtained model showed excellent prediction performance with a prediction accuracy of 100%. Finally, a heatmap visualization was employed for clarifying the distribution of identified saponins, which could be useful for phytochemotaxonomy study of Clematis herbs. These results indicated that our proposed platform was a powerful tool for chemical profiling and discrimination of herbs with multiple botanical origins, providing promising perspectives in tracking the formulation processes of TCMs products.