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Paridis Saponins Inhibiting Carcinoma Growth and Metastasis In Vitro and In Vivo
Shuli Man,Wenyuan Gao,Yanjun Zhang,Chaoyi Ma,Liu Yang,Yiwen Li 대한약학회 2011 Archives of Pharmacal Research Vol.34 No.1
Paris polyphylla Smith var. yunnanensis extracts, Rhizoma Paridis saponins (RPS) have been found to show strong antitumor activity. However, few studies have yet investigated pulmonary metastasis treatment with this herb. To detail the effective components in RPS and discuss the preliminary mechanism of antitumor effects in vivo and in vitro, a mixture isolated from RPS was investigated. The main constituents were identified as polyphyllin D, formosanin C, dioscin, Paris H, Paris VII and pennogennin 3-O-α-L-rhamnopyranosyl (1→4)-[β-L-rhamnopyranosyl (1→2)]-β-D-glucopyranoside. In our experiments, LA795 cells were exposed to the mixed compounds. Migration inhibition was evaluated by wound healing assay and migration assay in non-cytotoxic dose which was determined by MTT assay. The results demonstrated that the constituent in varying degrees inhibited the migration of the tumor cells in vitro. The mixture also showed antitumor effects on carcinoma in vivo. In conclusion, the mixture is a potent anticancer agent that elicits programmed cell death and inhibits the migration in murine lung adenocarcinoma, both in vitro and in vivo.
Shaokun Jiang,Youguang Ma,Wenyuan Fan,Ke Yang,Huaizhi Li 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.1
The nonlinear dynamics of in-line bubbles rising with coalescence in non-Newtonian Carboxymethylcellulose sodium (CMC) fluids was studied through the techniques such as the multiresolution signal decomposition and the chaotic time series analysis. The temporary signals of bubble passages collected by an optical sensing device at different heights were investigated by a 12-level wavelet decomposition and the scalewise characteristics of bubble motion were extracted and analyzed. The chaotic time series analysis distinguished the periodicity or the deterministic chaos of bubble motion successsfully. The calculation of Kolmogorov entropy proves that in the ranges of experimental heights and gas flowrates, the bubble rising dynamics becomes more chaotic with the increase of height, and reaches the maximum chaotic extent in a certain height, while with the further increase of height, the chaotic extent decreases slowly. With the increase of gas flowrate, at the lower height, the bubble rising dynamics changes from periodicity to deterministic chaos, and at the higher heights it reaches the maximum chaotic extent in a certain gas flowrate; however,for both cases, it has little change in the higher gas flowrates. Moreover, with the increase of CMC concentration, the bubble rising dynamics becomes less chaotic when the height is beyond a certain value.