Network Pharmacology-Based Investigation on Therapeutic Mechanisms of the Angelica dahurica Radix and Ligusticum chuanxiong Rhizoma Herb Pair for Anti-Migraine Effect.

Migraines are a common neurological disorder characterized by desperate throbbing unilateral headaches and are related to phonophobia, photophobia, nausea, and vomiting. The Angelica dahurica Radix and Ligusticum chuanxiong Rhizoma herb pair (ALHP) has been used to treat migraines for centuries in traditional Chinese medicine (TCM). However, the physiological mechanisms of migraine treatment have not yet been elucidated. In this study, a total of 50 hub targets related to the effect of 28 bioactive compounds in ALHP on anti-migraine were obtained through network pharmacology analysis. GO and KEGG analyses of the hub targets demonstrated that ALHP treatment of migraines significantly involved the G-protein-coupled receptor signaling pathway, chemical synaptic transmission, inflammatory response, and other biological processes. According to the degree of gene targets in the network, ACE, SLC3A6, NR3CI, MAPK1, PTGS2, PIK3CA, RELA, GRIN1, GRM5, IL1B, and DRD2 were found to be the core gene targets. The docking results showed a high affinity for docked conformations between compounds and predicted targets. The results of this study suggest that ALHP could treat migraines by regulating immunological functions, diminishing inflammation, and improving immunity through different physiological pathways, which contributes to the scientific base for more in-depth research as well as for a more widespread clinical application of ALHP.

Flavonol glycosides from Fissistigma maclurei.

Two new flavonol glycosides, fissmacosides A (1) and B (2) along with two known flavonol glycosides, kaempferol 3-O-α-l-rhamnopyranosyl-(1→6)-ß-d-galactopyranoside (3) and kaempferol 3-O-ß-d-glucopyranosyl-(1→4)-α-l-rhamnopyranosyl-(1→6)-[4-(E)-feruloyl]-ß-d-galactopyranoside (4) were isolated from the methanol extract of the leaves of Fissistigma maclurei Merr. Their structures were determined on the basis of extensive spectroscopic methods, including 1D-, 2D-NMR, and MS data.

Multiple component quantitative analysis for the pattern recognition and quality evaluation of Kalopanacis Cortex using HPLC.

A quantitative and pattern recognition analyses were conducted for quality evaluation of Kalopanacis Cortex (KC) using HPLC. For quantitative analysis, four bioactive compounds, liriodendrin, pinoresinol O-ß-D-glucopyranoside, acanthoside B and kalopanaxin B, were determined. The analysis method was optimized and validated using ODS column with mobile phase of methanol and aqueous phosphoric acid. The validation gave acceptable linearities (r > 0.9995), recoveries (98.4% to 101.9%) and precisions (RSD < 2.20). The limit of detection of compounds ranged from 0.4 to 0.9 µg/mL. Among the four compounds, liriodendrin was recommended as a marker compound for the quality control of KC. The pattern analysis was successfully carried out by analyzing thirty two samples from four species, and the authentic KC samples were completely discriminated from other inauthentic species by linear discriminant analysis. The results indicated that the method was suitable for the quantitative analysis of liriodendrin and the quality evaluation of KC.