Unveiling the Chemical Composition of Sulfur-Fumigated Herbs: A Triple Synthesis Approach Using UHPLC-LTQ-Orbitrap MS-A Case Study on Steroidal Saponins in Ophiopogonis Radix.

Ophiopogonis Radix (OR) is a traditional Chinese medicine. In recent years, in order to achieve the purpose of drying, bleaching, sterilizing and being antiseptic, improving appearance, and easy storage, people often use sulfur fumigation for its processing. However, changes in the chemical composition of medicinal herbs caused by sulfur fumigation can lead to the transformation and loss of potent substances. Therefore, the development of methods to rapidly reveal the chemical transformation of medicinal herbs induced by sulfur fumigation can guarantee the safe clinical use of medicines. In this study, a combined full scan-parent ions list-dynamic exclusion acquisition-diagnostic product ions analysis strategy based on UHPLC-LTQ-Orbitrap MS was proposed for the analysis of steroidal saponins and their transformed components in sulfur-fumigated Ophiopogonis Radix (SF-OR). Based on precise mass measurements, chromatographic behavior, neutral loss ions, and diagnostic product ions, 286 constituents were screened and identified from SF-OR, including 191 steroidal saponins and 95 sulfur-containing derivatives (sulfates or sulfites). The results indicated that the established strategy was a valuable and effective analytical tool for comprehensively characterizing the material basis of SF-OR, and also provided a basis for potential chemical changes in other sulfur-fumigated herbs.

Active peptides from Eupolyphaga sinensis walker attenuates experimental hyperlipidemia by regulating the gut microbiota and biomarkers in rats with dyslipidemia.

Eupolyphaga sinensis Walker (ESW) is a traditional Chinese medicine formulation used to treat hyperlipidemia. However, the hypolipidemic effect of the active peptides from E. sinensis Walker (APE) is incompletely understood. We studied the hypolipidemic effect of APE and explored the impact of APE on the gut microbiota (GM) in rats suffering from hyperlipidemia. APE was prepared by enzymatic digestion, and its structure was characterized using various methods. The anti-hyperlipidemic activity of APE was assessed using a high-fat diet (HFD)-induced model in zebrafish and rats. In rats, HFD administration caused abnormalities of lipid metabolism and disturbances of the GM and amino acid (AA) profile in plasma. The abundance of bacteria of the phyla Firmicutes and Bacteroides was increased significantly (p < 0.05), and the relative abundance of Lactobacillus species and Clostridium species was decreased significantly (p < 0.05). HFD therapy affected the levels of 12 AAs in vivo: 10 AAs showed increased levels and two AAs had decreased levels (p < 0.05). Similar results were demonstrated in an experiment on fecal microbiota transplantation. APE treatment dose-dependently decreased lipid factors and liver damage (p < 0.05). Sequencing of the 16 S rRNA gene indicated that APE improved the intestinal-flora structure of rats with HL markedly, and increased the relative abundance of Lactobacillus species and Clostridium species. Metabolomics analysis indicated that APE could alter the levels of 10 AAs affected by HFD consumption. Spearman correlation analysis revealed that gamma-aminobutyric acid (GABA) could be a crucial metabolite, and Lactobacillus species and Clostridium species might be important bacteria for the action of APE against hyperlipidemia. We speculate that APE exhibited an anti-hyperlipidemic effect by regulating GABA synthesis in the presence of Lactobacillus species and Clostridium species.

[UHPLC-Q-Exactive Orbitrap MS/MS-based rapid identification of chemical components in substance benchmark of Kaixin San].

Ultra-performance liquid chromatography-quadrupole-electrostatic field Orbitrap mass spectrometry(UHPLC-Q-Exactive Orbitrap MS/MS) was used for rapid identification of the chemical components in Kaixin San substance benchmark. The gradient elution was performed through a Waters ACQUITY~(TM) BEH C_(18) column(2.1 mm×150 mm, 1.7 µm) with water-acetonitrile as mobile phase, a column temperature of 30 ℃, a flow rate of 0.3 mL·min~(-1), and a sample size of 1 µL. The scanning was performed in the negative ion mode. The complex component groups in Kaixin San substance benchmark were quickly and accurately identified and clearly assigned based on the comparison of the retention time and MS data with those of the reference substance as well as the relative molecular weight of the same or similar components in the mass spectrum database and literature. A total of 77 compounds were identified, including 26 saponins, 13 triterpenoid acids, 20 oligosaccharide esters, 5 xanthones, and 13 other compounds. The qualitative method established in this study can systematically, accurately, and quickly identify the chemical components in Kaixin San substance benchmark, which can provide a basis for the further analysis of its active components in vivo and the establishment of its quality control system.

Comprehensive Identification of Astilbin Metabolites in Rats Based on Multiple Metabolite Templates Combined with UHPLC-Q-Exactive Mass Spectrometry.

BACKGROUND: Astilbin, a dihydroflavonoid compound widely found in plants, exhibits a variety of pharmacological activities and biological effects. However, little is known about the metabolism of this active compound in vivo, which is very helpful for elucidating the pharmacodynamic material basis and application of astilbin. OBJECTIVE: To establish a rapid profiling and identification method for metabolites in rat urine, faeces and plasma using a UHPLC-Q-Exactive mass spectrometer in negative ion mode. METHODS: In this study, a simple and rapid systematic strategy and 7 metabolite templates, which were established based on previous reports, were utilized to screen and identify astilbin metabolites. RESULTS: As a result, a total of 71 metabolites were detected and characterized, among which 32 metabolites were found in rat urine, while 27 and 38 metabolites were characterized from rat plasma and faeces, respectively. These metabolites were presumed to be generated through ring cleavage, sulfation, dehydrogenation, methylation, hydroxylation, glucuronidation, dehydroxylation and their composite reactions. CONCLUSION: This study illustrated the capacity of the sensitive UHPLC-Q-Exactive mass spectrometer analytical system combined with the data-mining methods to rapidly elucidate the unknown metabolism. Moreover, the comprehensive metabolism study of astilbin provided an overall metabolic profile, which will be of great help in predicting the in vivo pharmacokinetic profiles and understanding the action mechanism of this active ingredient.