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Peihe Zheng,Yinbin Chen,Yangyang Fu,Hecheng Wang,Jia Wang,Siwen Zheng,Shengyuan Xiao,Yingping Wang 한국식품영양과학회 2017 Journal of medicinal food Vol.20 No.11
After cultivation of ginseng, ginsenosides, which are the major active ingredients of gingeng, were approved for use by the food industry, and began to be used as added functional ingredients to try to improve the quality and price of functional foods. However, the interaction between different types of ginsenosides and nutrients needs further study. We investigated the effect of B-complex vitamins (which are essential nutrients) on the pharmacokinetics of the ginsenosides protopanaxatriol-type saponin Rg1, protopanaxadiol-type saponin Rb1, and oleanolic acid-type saponin Ro after oral administration. Ginsenosides Rg1, Rb1, and Ro, with or without B-complex vitamins, respectively, were administered orally to rats to evaluate their pharmacokinetics. The concentration of ginsenosides in plasma was determined by liquid chromatography/tandem mass spectrometry. Pharmacokinetic parameters were fitted using WinNonlin v6.2. After oral coadministration with B-complex vitamins, the area under the concentration–time curve from zero to infinity (AUC0–∞) of ginsenoside Rg1 was reduced by 70%, that of ginsenoside Rb1 was reduced by 43%, and that of ginsenoside Ro was reduced by 34%. The AUC0–∞ of ginsenosides Rg1 and Rb1 showed significant differences between different treatments, but the AUC0–∞ of ginsenoside Ro did not. These results suggest significant ginsenoside-nutrient interactions between ginsenosides Rg1, Rb1, and B-complex vitamins.
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A GENETIC ALGORITHM BASED ON OPTIMALITY CONDITIONS FOR NONLINEAR BILEVEL PROGRAMMING PROBLEMS
Hecheng Li,Yuping Wang 한국전산응용수학회 2010 Journal of applied mathematics & informatics Vol.28 No.3
For a class of nonlinear bilevel programming problems in which the follower's problem is linear, the paper develops a genetic algorithm based on the optimality conditions of linear programming. At first,we denote an individual by selecting a base of the follower's linear programming, and use the optimality conditions given in the simplex method to denote the follower's solution functions. Then, the follower's problem and variables are replaced by these optimality conditions and the solution functions, which makes the original bilevel programming become a single-level one only including the leader's variables. At last, the single-level problem is solved by using some classical optimization techniques, and its objective value is regarded as the fitness of the individual. The numerical results illustrate that the proposed algorithm is efficient and stable.
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A GENETIC ALGORITHM BASED ON OPTIMALITY CONDITIONS FOR NONLINEAR BILEVEL PROGRAMMING PROBLEMS
Li, Hecheng,Wang, Yuping The Korean Society for Computational and Applied M 2010 Journal of applied mathematics & informatics Vol.28 No.3
For a class of nonlinear bilevel programming problems in which the follower's problem is linear, the paper develops a genetic algorithm based on the optimality conditions of linear programming. At first, we denote an individual by selecting a base of the follower's linear programming, and use the optimality conditions given in the simplex method to denote the follower's solution functions. Then, the follower's problem and variables are replaced by these optimality conditions and the solution functions, which makes the original bilevel programming become a single-level one only including the leader's variables. At last, the single-level problem is solved by using some classical optimization techniques, and its objective value is regarded as the fitness of the individual. The numerical results illustrate that the proposed algorithm is efficient and stable.
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RBPJ contributes to acquired docetaxel resistance in prostate cancer cells
Li Xue,Zhenlong Wang,Hecheng Li,Zhaolun Li,Qi Chen,Peng Zhang,Haiwen Chen,Ziming Wang,Tie Chong,T. Chong 대한독성 유전단백체 학회 2017 Molecular & cellular toxicology Vol.13 No.3
Our previous work has shown that depletion of recombination signal-binding protein J (RBPJ) results in reduced cell growth in prostate cancer cells. In this study, we aimed to investigate the function of RBPJ in the chemoresistance of prostate cancer. The expression of RBPJ was quantified in docetaxel-resistant and parental prostate cancer cells. Loss- and gainof- function experiments were conducted to explore the regulatory role of RBPJ in prostate cancer sensitivity to docetaxel. The pro-apoptotic effect of RBPJ silencing was checked in docetaxel-resistant prostate cancer cells. We found that docetaxel-resistant PC3-DR and DU145- DR cells expressed 3-5-fold high levels of RBPJ than parental PC3 and DU145 cells. Short hairpin RNAmediated knockdown of RBPJ inhibited cell proliferation and colony formation and reversed docetaxel resistance in docetaxel-resistant prostate cancer cells. In contrast, overexpression of RBPJ promoted cell growth, colony formation, and docetaxel resistance in parental prostate cancer cells. Downregulation of RBPJ induced apoptosis in docetaxel-resistant cells, which was accompanied by enhanced cleavage of caspase-3. In addition, RBPJ silencing or overexpression markedly modulated the expression of the Bcl-2 family members including Bcl-2, Bcl-xL, Mcl-1, Bax, and Bak. Altogether, RBPJ contributes to acquisition of docetaxel resistance in prostate cancer cells and may thus represent a potential target for overcoming chemotherapeutic resistance in this malignancy.
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