摘要
Objective To establish a reliable platform for screening glucokinase activators （GKAs） in vitro. Methods Pancreatic glucokinase （PGK） protein expressed in a prokaryotic expression system as a histidine-tagged fusion protein from Homo sapiens was produced. Then, response surface methodology （RSM） was used to optimize the microplate-based GKA screening platform. In the f＇trst step of optimization with Plackett-Burman design （PBD）, initial pH, reaction time and MgC12 were found to be important factors affecting the activity ratio of GKA （RO-28-1675） significantly. In the second step, a 23 full factorial central composite design （CCD） and RSM were applied to the optimal condition determination of each significant variable. A second-order polynomial was determined by a multiple regression analysis of the experimental data. Results The following optimal values for the critical factors were obtained： initial pH 0 （7.0）, reaction time-0.63 （13.7 min） and MgC12 0.11 （2.11 mmol/L） with a predicted value of the maximum activity ratio of 34.1%. Conclusion Under the optimal conditions, the practical activity ratio is 34.8%. The determination coefficient （R2） is 0.9442, ensuring adequate credibility of the model. LLAE3, extracted from Folium nelumbinis in our laboratory, has prominently activated effects on PGK.
Objective To establish a reliable platform for screening glucokinase activators （GKAs） in vitro. Methods Pancreatic glucokinase （PGK） protein expressed in a prokaryotic expression system as a histidine-tagged fusion protein from Homo sapiens was produced. Then, response surface methodology （RSM） was used to optimize the microplate-based GKA screening platform. In the f＇trst step of optimization with Plackett-Burman design （PBD）, initial pH, reaction time and MgC12 were found to be important factors affecting the activity ratio of GKA （RO-28-1675） significantly. In the second step, a 23 full factorial central composite design （CCD） and RSM were applied to the optimal condition determination of each significant variable. A second-order polynomial was determined by a multiple regression analysis of the experimental data. Results The following optimal values for the critical factors were obtained： initial pH 0 （7.0）, reaction time-0.63 （13.7 min） and MgC12 0.11 （2.11 mmol/L） with a predicted value of the maximum activity ratio of 34.1%. Conclusion Under the optimal conditions, the practical activity ratio is 34.8%. The determination coefficient （R2） is 0.9442, ensuring adequate credibility of the model. LLAE3, extracted from Folium nelumbinis in our laboratory, has prominently activated effects on PGK.
基金
supported by the Program for Changjiang Scholars and Innovative Research Team in University,PCSERT(No.IRT0540).
