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Yin Yang,Qian Li,Qi-Hua He,Ji-Sheng Han,Li Su,You Wan 생화학분자생물학회 2018 Experimental and molecular medicine Vol.50 No.-
Activation of the cholecystokinin type B receptor (CCKBR) by cholecystokinin octapeptide (CCK-8) inhibits opioid analgesia. Chronic opiate treatment leads to an increase in the CCK-8 concentration and thus enhances the antagonism of CCK-8 against opioid analgesia; the underlying molecular mechanisms remain of great interest. In the present study, we validated the colocalization of the μ-opioid receptor (MOR) and CCKBR in pain signal transmissionrelated spinal cord dorsal horn and dorsal root ganglion neurons of rats. Co-immunoprecipitation (Co-IP) and fluorescence lifetime-imaging-microscopy-based fluorescence resonance energy transfer (FLIM-FRET) assays showed that MOR heteromerized with CCKBR directly in transfected HEK293 cells. Combined with MOR mutant construction, the third transmembrane domain of MOR (TM3MOR) was demonstrated to participate in heteromerization with CCKBR. Receptor ligand binding, ERK phosphorylation and cAMP assays showed that MOR heteromerization with CCKBR weakened the activity of MOR. A cell-penetrating interfering peptide consisting of TM3MOR and TAT (a transactivator of HIV-1) sequences from the N terminal to the C terminal disrupted the MOR–CCKBR interaction and restored the activity of MOR in transfected HEK293 cells. Furthermore, intrathecal application of the TM3MOR-TAT peptide alleviated CCK-8-injection-induced antagonism to morphine analgesia in rats. These results suggest a new molecular mechanism for CCK-8 antagonism to opioid analgesia in terms of G-protein-coupled receptor (GPCR) interaction through direct heteromerization. Our study may provide a potential strategy for pain management with opioid analgesics.
Na Han,Xing-xiang Zhang,Wan-yong Yu,Xi-yin Gao 한국고분자학회 2010 Macromolecular Research Vol.18 No.11
A series of 85/15 AN/MA copolymers (acrylonitrile-methyl acrylate copolymers with feed ratio of 85/15 mol%) were synthesized by aqueous precipitation polymerization at 20, 30, and 40 oC, and the copolymers were used to produce a series of fibers by melt spinning. The copolymers and fibers were characterized by element analysis (EA), nuclear magnetic resonance (1H NMR and 13C NMR), capillary rheometry, differential scanning calorimetry (DSC), X-ray diffraction (XRD), and scanning electronic microscopy (SEM). The average length of the contiguous AN units synthesized at 30 oC had a maximum value of 10.53. Aqueous polymerization at 30 oC resulted the lowest glass transition temperature (Tg) of 87.1 oC, the lowest melting point (Tm) of 154.5 oC,and the highest decomposition temperature (Td) of 325.0 oC. 85/15 AN/MA prepared at 20 and 30 oC exhibited a better fluidity at 210 oC. The ideal reaction temperatures for melt processing of the AN/MA copolymers were found to be 20 and 30 oC.
Yan-lin Wang,Ke-yi Wang,Wan-li Wang,Peng-cheng Yin,Zhuang Han 대한기계학회 2019 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.33 No.11
This paper presents a problem that traditional methods cannot evaluate the dynamical stability of the under-constraint cable-driven lower limb rehabilitation training robot (CLLRTR). An analytical method is presented to evaluate the dynamical stability of CLLRTR. Firstly, position performance factor, posture performance factor and cable tension performance factor are defined based on the kinematics and dynamics of CLLRTR. An appraisal index and method of the dynamical stability for CLLRTR with the hybrid force-position-pose approach is proposed by using the weighted average method among three performance factors. Secondly, the stable workspace and robustness workspace with the external forces are defined according to the stability margin. Finally, the simulation analysis and the experimental study are used to illustrate the distribution of the dynamical stability in the whole workspace of CLLRTR. The results show that the experimental results are the same as the theoretical simulation analysis results. So the appraisal index of the dynamical stability can be used to evaluate the dynamical stability of CLLRTR. It will provide a foundation for the trajectory planning and control strategy of CLLRTR training pattern.