Glu R2-3Y Inhibits the Acquisition and Reinstatement of Morphine-Induced Conditioned Place Preference in Rats

Accumulating evidence indicates that a-amino-3-hydroxy-5-methylisoxazole-4-propionic acid receptors（AMPARs） are involved in the relapse to abused drugs.However, the role of AMPARs containing the Glu R2 subunit in opiate addiction is still unclear. Glu R2-3Y,an interfering peptide, prevents the endocytosis of AMPARs containing the Glu R2 subunit. In this study, we explored the effect of intravenous injection of Glu R2-3Y on the acquisition, expression, and reinstatement of morphine-induced conditioned place preference（m CPP） in rats. We found that infusion of Glu R2-3Y（1.5 nmol/g） one hour before morphine during the conditioning phase inhibited the acquisition of m CPP, while an identical injection one hour before the post-conditioning test had no influence on the expression of m CPP. Injection of Glu R2-3Y（1.5 nmol/g） after m CPP extinction blocked the morphine-induced reinstatement of m CPP. Our results strongly support the hypothesis that inhibition of AMPAR endocytosis provides a new target for the treatment of opiate addiction.

Design and Implementation of a Chinese Pulse Condition Acquisition System

Nowadays, with improvements in the quality of life, people are paying more attention to their health. Traditional Chinese medicine offers great advantages for daily care. In this paper, we present the development of a remote health care system, namely, Chinese Pulse Condition Acquisition System （CPCAS）, based on the principle of Chinese pulse diagnosis in Chinese medicine and a wireless sensor network. We designed a remote health care terminal with a mini-pulse collection bench to overcome the challenge of differences in pulse characters of different people. An effective measured pressure control algorithm is proposed to achieve a balance between control accuracy and control time. The special signal conditioning circuit showed good performance in analog pulse signal processing. We also performed significant research to address the challenges of symptom recognition. Other distinctive features of this system include the following： intelligent sensing, a wireless health care network, effective energy management, small size, lightweight, and the ability to be networked for remote management. In this paper, we have introduced the design and implementation of CPCAS. We also demonstrate the use of the system and give evaluations on this system by several experiments. Our results indicate that CPCAS has significant practical feasibility.