The genus Epimedium: an ethnopharmacological and phytochemical review

Developing Phytocompounds from Medicinal Plants as Immunomodulators

Imbalance or malfunction of the immune systems is associated with a range of chronic diseases including autoimmune diseases, allergies, cancers and others. Various innate and adaptive immune cells that are integrated in this complex networking system may represent promising targets for developing immunotherapeutics for treating specific immune diseases. A spectrum of phytochemicals have been isolated, characterized and modified for development and use as prevention or treatment of human diseases. Many cytotoxic drugs and antibiotics have been developed from phytocompounds, but the application of traditional or new medicinal plants for use as immunomodulators in treating immune diseases is still relatively limited. In this review, a selected group of medicinal herbs, their derived crude or fractionated phytoextracts and the specific phytochemicals/phytocompounds isolated from them, as well as categorized phytocompound groups with specific chemical structures are discussed in terms of their immunomodulatory bioactivities. We also assess their potential for future development as immunomodulatory or inflammation-regulatory therapeutics or agents. New experimental approaches for evaluating the immunomodulatory activities of candidate phytomedicines are also discussed.

High-performance liquid chromatography-based multivariate analysis to predict the estrogenic activity of an Epimedium koreanum extract

This study characterizes the correlation between the chemical fingerprint and estrogenic activity of an Epimedium koreanum extract. The estrogenic activity of 31 E. koreanum extract samples was evaluated by a luciferase reporter gene assay, and the samples were classified into 3 groups based on their bioactivity. A chemical fingerprint analysis was performed on each sample by high-performance liquid chromatography (HPLC), and 44 common peaks were selected from the chromatogram and used as a dataset for a pattern recognition analysis. A canonical discriminant analysis performed on this dataset determined a distinct distribution of the samples according to their estrogenic activity on the scoring plot. The classification results showed that 90.3% of the original grouped cases had been correctly classified. The total content of the 4 major extract compounds, epimedin A, epimedin B, epimedin C, and icariin, exhibited good correlation (r=0.784) with the estrogenic activities of the respective extracts. This chromatographic fingerprint-chemometric analysis system could be useful for predicting the E. koreanum pharmacological activity and consequent biological activity-relevant quality control assessment.