UPLC-ESI-QTRAP-MS/MS Analysis to Quantify Bioactive Compounds in Fennel (Foeniculum vulgare Mill.) Waste with Potential Anti-Inflammatory Activity

Quality evaluation of Pterocephali Herba through simultaneously quantifying 18 bioactive components by UPLC-TQ-MS/MS analysis

Pterocephali Herba (PH), the dried whole plant of Pterocephalus hookeri, is a Tibetan medicine commonly used to treat rheumatoid arthritis (RA). Iridoids, triterpenoids, flavonoids and phenylpropanoids are the major groups of bioactive constituents from PH. However, only ursolic acid and oleanolic acid, two unspecific triterpenoid components, are used as markers for the quality control of PH in Chinese Pharmacopoeia. Herein, an UPLC-TQ-MS/MS integrating SIR and MRM mode method for simultaneously quantifying 18 components, i.e., 9 iridoids, 3 triterpenoids, 3 phenylpropanoids, 2 flavonoids and quinic acid, in PH was developed and validated, and was used to evaluate 10 batches of PH samples from different origins. Hierarchical cluster analysis (HCA) was used to show the clustering of PH samples, while spearman correlation analysis was adopted to evaluate the correlation between ursolic acid/oleanolic acid and other quantified components. It was found that the established method was sensitive, precise, and accurate enough for the simultaneous quantification of 18 analytes in PH samples. Significant differences were found among the contents of 18 components in PH samples, no apparent clustering of the quality of PH samples was found to be related to its origins, and the contents of ursolic acid/oleanolic acid were only significantly correlated to the content of sylvestroside I, dipsanoside B, dipsanoside A in PH. Our results suggested that the newly established multi-components quantitative method is an improved approach for quality evaluation of PH samples. Furthermore, the holistic quality was inconsistent among PH samples, and ursolic acid/oleanolic acid alone could not indicate the holistic quality variation trend of PH.

Network pharmacology and molecular docking combined with widely targeted metabolomics to elucidate the potential compounds and targets of Euphorbia helioscopia seeds for the treatment of pulmonary fibrosis

BACKGROUND

The whole herb of Euphorbia helioscopia has been traditionally used for treating pulmonary tuberculosis, malaria, warts, lung cancer and bacillary dysentery for a long time in China. However, E. helioscopia seeds are often discarded and its medicinal value is often ignored, resulting in a waste of resources.

METHOD

In this work, widely targeted metabolomics based on UPLC-ESI-QTRAP-MS/MS methods and metware database (MWDB) were firstly used to identify the chemical compositions of EHS. Besides, network pharmacology, molecular docking and molecular dynamics simulation were performed for elucidating the potential compounds and targets of E. helioscopia seeds for the treatment of pulmonary fibrosis via common database (like TCMSP, Genecards, DAVID, STRING) and common software (like Sybyl, Cytoscape, Pymol and Schrödinger).

RESULT

The results of widely targeted metabolomics showed 231 compounds including 12 categories were identified. The highest content compositions are lipids (33.89%) followed by amino acids and derivatives (21.78%), nucleotides and derivatives (15.73%), as well as the content of functional ingredients like phenolic acids (7.33%), alkaloids (7.03%) and flavonoids (4.51%) are relatively high. Besides, the results of network pharmacology and molecular docking showed that EHS presented anti-pulmonary fibrosis medicinal value through multi-ingredients, multi-targets and multi-pathways approach. Key ingredients including 9-Hydroxy-12-oxo-15(Z)-octadecenoic acid, Nordihydrocapsiate, 1-O-Salicyl-d-glucose, 9-(Arabinosyl)hypoxanthine, Xanthosine and Galangin-7-O-glucoside. Key targets including SRC, HSP90AA1, AKT1, EGFR, JUN, EP300 and VEGFA, and key signaling pathways mainly related to AGE-RAGE, EGFR tyrosine kinase inhibitor resistance, VEGF and HIF-1 signaling pathway. Molecular dynamics simulation showed that HSP90AA1 and 9-Hydroxy-12-oxo-15(Z)-octadecenoic complex (with the highest docking score) have a stable combination effect.

CONCLUSION

In conclusion, this study revealed the chemical compositions of EHS and its anti-pulmonary fibrosis medicinal effect for the first time, it will provide scientific insight for the development of EHS as medicinal resource.

A Comparative UHPLC-Q-Trap-MS/MS-Based Metabolomics Analysis to Distinguish Foeniculum vulgare Cultivars' Antioxidant Extracts

Among the environmental factors, seasonality is the one which most affects the metabolome of a plant. Depending on the harvest season, the plant may have a variable content of certain metabolites and thus may have different biological properties. Foeniculum vulgare is an annual plant whose cultivation creates large amounts of waste rich in bioactive compounds. The present investigation was performed with the aim of determining the amount of biologically active compounds in F. vulgare wastes obtained from varieties of different seasonality. Ten polyphenolic compounds were quantified in the little stems and leaves of Tiziano, Pegaso, and Preludio cultivars by ultra performance liquid chromatography (UPLC) hyphenated to QTRAP mass spectrometry by using the MRM (multiple reaction monitoring) method. The antioxidant activity of hydroalcoholic extracts was then evaluated using TEAC and DPPH spectrophotometric assays, followed by a multivariate statistical analysis to determine the correlation between metabolite expression and antioxidant activity. The Preludio variety, grown in summer, showed a higher content of bioactive compounds, which guarantees it a better antioxidant power; kaempferol 3-O-glucuronide, quercetin 3-O-glucuronide, and quercetin 3-O-glucoside are the polyphenolic compounds that could be mainly responsible for the antioxidant effect of fennel. The PLS chemometric model, which correlated quantitative data obtained by a sensitive and selective LC-ESI-QTrap-MS/MS analysis of antioxidant activity, resulted in a selective tool to detect the compounds responsible for the activity shown by the extracts in chemical tests.