The interaction between proprotein convertase subtilisin/kexin type 9 (PCSK9) and the low-density lipoprotein receptor (LDLR) is a promising target for the treatment of hyperc-holesterolemia. In this study, a new method based on competitive affinity and tag detection was developed, which aimed to evaluate potent natural inhibitors preventing the interaction of PCSK9/LDLR directly. Herein, natural compounds with efficacy in the treatment of hypercholesterolemia were chosen to investigate their inhibitory activities on the PCSK9/LDLR interaction. Two of them, polydatin (1) and tetrahydroxydiphenylethylene-2-O-glucoside (2), were identified as potential inhibitors for the PCSK9/LDLR interaction and were proven to prevent PCSK9-mediated LDLR degradation in HepG2 cells. The results suggested that this strategy could be applied for evaluating potential bioactive compounds inhibiting the interaction of PCSK9/LDLR and this strategy could accelerate the discovery of new drug candidates for the treatment of PCSK9-mediated hypercholesterolemia.
For solving the transformation problem between the desired nonlinear control laws and installed actuators’ input commands of torpedo-like underwater vehicles, one closed-form control allocation method is proposed in this article. The goal of this study is to optimally distribute the desired nonlinear control law to each single actuator installed on the torpedo-like underwater vehicle. The first step of this proposed control allocation method is to arrange the required types, numbers, and positions of the installed actuators and then build up the thrust configuration matrix for the developed torpedo-like underwater vehicle. In this step, the desired nonlinear control law can be optimally distributed to output commands of installed actuators based on the optimization method. Next, through collecting the input and output data of each installed actuator by practical experiments, the mathematical transformation of input and output commands of each installed actuator can be found. For verifying performance of this proposed control allocation method, simulations with the robust trajectory tracking design of a torpedo-like underwater vehicle with four fins, four rudders, and one thruster are executed in this investigation.
Proprotein convertase subtilisin/kexin type 9 (PCSK9) is an attractive target for new cholesterol-lowering drug development. Here, we developed a method integrating ligand fishing, HPLC-Q-TOF-MS and interdisciplinary assay, aiming to explore potential PCSK9 inhibitors from mixtures rapidly and accurately. PCSK9 was expressed and purified firstly, and then the recombined PCSK9 was coated on the surface of magnetic beads (MBs). The PCSK9-immobilized MBs (PCSK9-MBs) were used for ligand fishing combined with HPLC and Q-TOF-MS/MS. Ginkgo biloba leaves (GBL), an herbal medicine widely used in Asia and Europe with good efficacy in treatment of hypercholesterolemia, were chosen as an illustration for ligand fishing. Two PCSK9 ligands were discovered from GBL and identified as kaempferol-3-O-rutinoside (1) and kaempferol 3-O-2''-(6 000-p-coumaroyl) glucosylrhamnoside (KCGR) (2). In order to verify fishing results and pick out more powerful PCSK9 inhibitors, molecular docking assay was further performed and KCGR was optimized to be an excellent PCSK9 inhibitor by the confirmation of affinity and activity bioassay. These results suggested that the developed approach could be applied to screen and analysis potential bioactive constituents from mixtures, which may improve the efficiency of drug discovery. Moreover, KCGR separated from GBLwas expected to be a potential candidate of PCSK9 inhibitors.
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