Ilexgenin A exerts anti-inflammation and anti-angiogenesis effects through inhibition of STAT3 and PI3K pathways and exhibits synergistic effects with Sorafenib on hepatoma growth.

Recently, we reported that Ilexgenin A exhibits anti-cancer activities and induces cell arrest. Here, we investigated the effect of Ilexgenin A on the inflammation, angiogenesis and tumor growth of hepatocellular carcinoma (HCC). Our current study revealed that Ilexgenin A significantly inhibited the inflammatory cytokines TNF-α and IL-6 levels and downregulated pro-angiogenic factor VEGF production and transcription in HepG2 cells. The underlying mechanism for Ilexgenin A effects appears to be through inhibiting STAT3 and PI3K pathways. Furthermore, we found that not only Ilexgenin A inhibited STAT3 and PI3K pathways in HepG2 cells but also blocked these signaling pathways in HUVECs. Most importantly, by employing two HCC xenografts models - HepG2 and H22, we showed that Ilexgenin A reduced tumor growth and exhibited synergy effect with Sorafenib. ELISA assay, histological analysis and immunohistochemistry examination revealed that the expression of VEGF and MVD was significantly decreased after the treatment with Ilexgenin A and the combination. Moreover, Ilexgenin A could enhance caspase-3/7 activity in vitro and transmission electron microscope indicated that the combination induced evident apoptosis of tumor cells and caused the structural changes of mitochondria in vivo. Although no apparent adverse effects occurred during the treatment period, Sorafenib monotherapy elicited hepatotoxicity for specific expression in the increased level of AST and the ratio of AST/ALT. However, the combination could remedy this adverse effect. In conclusion, the results described in the present study identifies Ilexgenin A as a promising therapeutic candidate that modulates inflammation, angiogenesis, and HCC growth.

[Latent structure model evaluation of syndrome elements and features in 826 hypertriglyceridemia patients].

OBJECTIVE: To evaluate main Chinese medical syndrome elements and features of hypertriglyceridemia patients. METHODS: Using latent structure model (LSM) method, the latent structure diagram of 826 hypertriglyceridemia patients were established. Hypertriglyceridemia syndrome elements and features were interpreted by using latent probability, conditional probability, mutual information, and cumulative information coverage to quantify symptoms/syndromes data,as well as using manual interpretation methods. RESULTS: The accumulative information coverage rate reaching 95% was taken as the judgment standard for major syndrome elements. In the 826 hypertriglyceridemia patients, moderate and severe symptoms/syndromes (with the latent probability being 35% and 60% respectively) were dominant. The syndrome elements mainly included qi deficiency, qi stagnation,fire heat, stasis blood, yin deficiency, and yang deficiency. The main targets were dominated in Xin, Gan, and Shen. CONCLUSION: LSM based syndrome element evaluation method could quantify the association degree of each variable (syndrome element; Chinese medical symptoms) and the occurrence probability.