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| 1 | Simultaneous quantification of ginsenoside Rg1 and its metabolites by HPLC–MS/MS:Rg1 excretion in rat bile, urine and feces显示文摘Ginsenoside Rg1(Rg1), the major effective component of ginseng, has been shown to have multiple bioactivities, but low oral bioavailability. The aim of this study was to develop a simple, sensitive and rapid high performance liquid chromatography–tandem mass spectrometry(LC–MS/MS) method, which could be used to validate and quantify the concentrations of Rg1 and its metabolites in Sprague-Dawley rat bile,urine, and feces after oral administration(25 mg/kg). Calibration curves offered satisfactory linearity(r40.995)within the determined ranges. Both intra-day and inter-day variances were less than 15%, and the accuracy was within 80–120%. The excretion recoveries of Rg1, ginsenoside Rh1(Rh1), and protopanaxatriol(Ppt) in bile,urine, and feces combined were all greater than 70%. The fecal excretion recoveries of Rg1, Rh1, and Ppt were40.11%, 22.19%, and 22.88%, respectively, whereas 6.88% of Rg1 and 0.09% of Rh1 were excreted in bile.Urinary excretion accounted for only 0.04% of Rg1. In conclusion, the observed excretion profiles for Rg1 and its metabolites after oral administration are helpful for understanding the poor oral bioavailability of Rg1 and will aid further investigations of Rg1 as a pharmacologically active component. | Chiyu He Ru Feng Yupeng Sun Shifeng Chu Ji Chen Chao Ma Jie Fu Zhenxiong Zhao Min Huang Jiawen Shou Xiaoyang Li Yuzhu Wang Jinfeng Hu Yan Wang Juntian Zhang | 2016 | Acta Pharmaceutica Sinica B2016，6，6： | 6 |
| 2 | Design, Synthesis and Antitumor Activity of Pyrrolopyrazinone-chalcone Hybrids显示文摘 | MENG Ying ZHANG Hongwei LIU Zehua ZENG Shanchao SUN Chiyu ZHANG Lijuan ZHAO Mingming WANG Guan JIANG Mengying SHI Wei SONG Hongrui | 2014 | Chemical Research in Chinese Universities2014，30，4： | 0 |
| 3 | TNFR2 is a potent prognostic biomarker for post-transplant lung metastasis in patients with hepatocellular carcinoma显示文摘Objective:Lung metastasis is a common and fatal complication of liver transplantation for hepatocellular carcinoma(HCC).The precise prediction of post-transplant lung metastasis in the early phase is of great value.Methods:The mRNA profiles of primary and paired lung metastatic lesions were analyzed to determine key signaling pathways.We enrolled 241 HCC patients who underwent liver transplantation from three centers.Tissue microarrays were used to evaluate the prognostic capacity of tumor necrosis factor(TNF),tumor necrosis factor receptor 1(TNFR1),and TNFR2,particularly for post-transplant lung metastasis.Results:Comparison of primary and lung metastatic lesions revealed that the TNF-dependent signaling pathway was related to lung metastasis of HCC.The expression of TNF was degraded in comparison to that in para-tumor tissues(P<0.001).The expression of key receptors in the TNF-dependent signaling pathway,TNFR1 and TNFR2,was higher in HCC tissues than in para-tumor tissues(P<0.001).TNF and TNFR1 showed no relationship with patients’outcomes,whereas elevated TNFR2 in tumor tissue was significantly associated with worse overall survival(OS)and increased recurrence risk(5-year OS rate:31.9%vs.62.5%,P<0.001).Notably,elevated TNFR2 levels were also associated with an increased risk of post-transplant lung metastasis(hazard ratio:1.146;P<0.001).Cox regression analysis revealed that TNFR2,Hangzhou criteria,age,and hepatitis B surface antigen were independent risk factors for post-transplant lung metastasis,and a novel nomogram was established accordingly.The nomogram achieved excellent prognostic efficiency(area under time-dependent receiver operating characteristic=0.755,concordance-index=0.779)and was superior to conventional models,such as the Milan criteria.Conclusions:TNFR2 is a potent prognostic biomarker for predicting post-transplant lung metastasis in patients with HCC.A nomogram incorporating TNFR2 deserves to be a helpful prognostic tool in liver transplantation for HCC. | Huigang Li Zuyuan Lin Jianyong Zhuo Modan Yang Wei Shen Zhihang Hu Yichen Ding Hao Chen Chiyu He Xinyu Yang Siyi Dong Xuyong Wei Beicheng Sun Shusen Zheng Ren Lang Di Lu Xiao Xu | 2023 | Chinese Journal of Cancer Research2023，35，1： | 0 |
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