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Wenyi Lu,Jianxia Liu,Bin Wu,Shungen Huang,Jian Wang,Runda Wu,Zhongqi Mao 한국고분자학회 2024 Macromolecular Research Vol.32 No.2
This study used both in vitro and in vivo models to evaluate the efficacy of atractylodin as an anticancer treatment for colorectal cancer. The cytotoxicity of atractylodin on colon cancer cells was assessed using the MTT assay, and atractylodininduced apoptosis was determined using flow cytometry. The expression of cleaved caspase 3 and other apoptotic proteins was examined using Western blotting to determine the mechanism underlying atractylodin's anticancer activity. In addition, the role of PI3K/Akt/mTOR/p70S6K signalling in atractylodin-induced apoptosis in colon cancer cells was analyzed. The study found that atractylodin caused dose-dependent ROS-mediated apoptosis and DNA damage in colon cancer cells and activated caspase 3. Furthermore, atractylodin inhibited the PI3K/Akt/mTOR/p70S6K signalling pathway by targeting PI3Kγ in colon cancer cells. Molecular docking analysis indicated that atractylodin binds to the Akt binding pocket of PI3Kγ. The study also evaluated the antitumour effects of atractylodin on a colon cancer tumour xenograft model and found that it significantly reduced tumour growth and volume by inducing apoptosis. These results suggest that atractylodin has potential as a candidate for the treatment of colorectal cancer, although further research is necessary.
Using ARIMA Model to Fit and Predict Index of Stock Price Based on Wavelet De-Noising
Shihua Luo,Fang Yan,Dejian Lai,Wenyi Wu,Fucai Lu 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.12
To accommodate non-stationarity and strong noise in the SPI data, the research used wavelet method for de-noising and autoregressive integrated moving average model(ARIMA) for prediction. Seven-day moving averages of closing time SPI data in four Asian stock marketswereanalyzed.Empiricalresults show that after de-noising more accurate forecasting results can be obtained in developed markets. More developed market indexes seem more significant improvement; while for less developed market indexes, the improvement of de-noising is less significant. This is in accordance with current situation of market.