集成技术2025,Vol.14Issue(2):109-124,16.DOI:10.12146/j.issn.2095-3135.20240809002
氯胺酮诱导小鼠脑网络激活研究
Research on the Activation of Brain Networks Induced by Ketamine in Mice
摘要
Abstract
Ketamine,an N-methyl-D-aspartate receptor(NMDAR)antagonist,is clinically utilized for sedation,anesthesia,and the treatment of refractory depression.However,its addictive properties restrict its broader clinical application.A dose of 0.5 mg/kg is commonly used as an antidepressant in clinical settings,while 15 mg/kg represents the dose typically associated with abuse.The effects of varying doses of ketamine on brain network activation remain unclear.In this experiment,two representative doses of ketamine,0.5 mg/kg and 15 mg/kg,were administered via intraperitoneal injection for 7 consecutive days.Brain network activation was assessed by examining the expression of the immediate early gene protein(cFos).The results indicated that,compared to the saline control group,0.5 mg/kg ketamine significantly increased the number of cFos-positive cells in the medial prefrontal cortex,intermediate lateral septal nucleus,and periaqueductal gray matter.Conversely,15 mg/kg ketamine significantly increased cFos expression in the nucleus accumbens,lateral habenula,hippocampal CA3 region,amygdala,and ventral tegmental area.These findings suggest that ketamine's activation of brain networks is dose-dependent,with different doses activating distinct brain regions.This study provides a foundation for investigating the neuropharmacological effects of different ketamine doses and investigating brain regions associated with its antidepressant and addictive properties.关键词
氯胺酮/脑网络/cFos蛋白Key words
ketamine/brain network/cFos分类
生物学引用本文复制引用
钟嘉峰,胥亮,周锐奕,陈波,朱英杰,李蕾,徐薇..氯胺酮诱导小鼠脑网络激活研究[J].集成技术,2025,14(2):109-124,16.基金项目
国家科技创新 2030 重大项目(2021ZD0202103) (2021ZD0202103)
广东省科技厅项目(2023B1515040009,2023A1515012122) (2023B1515040009,2023A1515012122)
深圳市科技创新委员会项目(KCXFZ20230731100901004,KCXFZ20211020164543007) (KCXFZ20230731100901004,KCXFZ20211020164543007)
深圳市医学科研基金项目(SMRFA2303034) This work is supported by Major Project of the Science and Technology Innovation 2030 of China(2021ZD0202103),Department of Science and Technology of Guangdong Province(2023B1515040009,2023A1515012122),Technology and Innovation Commission of Shenzhen(KCXFZ20230731100901004,KCXFZ20211020164543007),Shenzhen Medical Research Fund(SMRFA2303034) (SMRFA2303034)