Prefrontal synaptic regulation of homeostatic sleep pressure revealed through synaptic chemogenetics

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-09-26 DOI:10.1126/science.adl3043
Takeshi Sawada, Yusuke Iino, Kensuke Yoshida, Hitoshi Okazaki, Shinnosuke Nomura, Chika Shimizu, Tomoki Arima, Motoki Juichi, Siqi Zhou, Nobuhiro Kurabayashi, Takeshi Sakurai, Sho Yagishita, Masashi Yanagisawa, Taro Toyoizumi, Haruo Kasai, Shoi Shi
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Abstract

Sleep is regulated by homeostatic processes, yet the biological basis of sleep pressure that accumulates during wakefulness, triggers sleep, and dissipates during sleep remains elusive. We explored a causal relationship between cellular synaptic strength and electroencephalography delta power indicating macro-level sleep pressure by developing a theoretical framework and a molecular tool to manipulate synaptic strength. The mathematical model predicted that increased synaptic strength promotes the neuronal “down state” and raises the delta power. Our molecular tool (synapse-targeted chemically induced translocation of Kalirin-7, SYNCit-K), which induces dendritic spine enlargement and synaptic potentiation through chemically induced translocation of protein Kalirin-7, demonstrated that synaptic potentiation of excitatory neurons in the prefrontal cortex (PFC) increases nonrapid eye movement sleep amounts and delta power. Thus, synaptic strength of PFC excitatory neurons dictates sleep pressure in mammals.
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通过突触化学遗传学揭示前额叶突触对平衡睡眠压力的调节作用
睡眠受体内平衡过程的调节,然而睡眠压力在清醒时累积、引发睡眠并在睡眠中消散的生物学基础仍然难以捉摸。我们通过开发一个理论框架和一个分子工具来操纵突触强度,从而探索了细胞突触强度与脑电图δ功率之间的因果关系。数学模型预测,突触强度的增加会促进神经元的 "下行状态",并提高德尔塔功率。我们的分子工具(突触靶向化学诱导卡利林-7转位,SYNCit-K)通过化学诱导蛋白卡利林-7转位诱导树突棘增大和突触电位,证明了前额叶皮层(PFC)兴奋性神经元的突触电位增加了非快速眼动睡眠量和δ功率。因此,前额叶皮质兴奋性神经元的突触强度决定了哺乳动物的睡眠压力。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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