{"title":"PtNPs/普鲁士蓝修饰微电极阵列检测调节休眠状态的关键神经元。","authors":"Yiding Wang,Chao Yang,Yilin Song,Guihua Xiao,Jiangbei Cao,Weidong Mi,Gucheng Yang,Wei Xu,Yuchuan Dai,Juntao Liu,Zhongquan Dai,Lina Qu,Jinping Luo,Yinghui Li,Xinxia Cai","doi":"10.1021/acssensors.5c00310","DOIUrl":null,"url":null,"abstract":"Studying neuronal activity during hibernation's extremely low metabolic state may offer novel solutions for metabolic disorders, stroke treatment, and space travel challenges. To explore hibernation's neural mechanisms, we developed a natural hibernation model using Siberian chipmunks(Tamias sibiricus). However, their characteristic weak neuronal discharge and prolonged hibernation periods necessitate electrodes with both enhanced detection sensitivity and exceptional long-term stability. We developed a new nanocomposite platinum nanoparticles/Prussian blue-modified microelectrode arrays (MEAs) aimed at solving the above difficulties. Prussian blue can react with reactive oxygen species to reduce inflammation during the detection process; therefore, MEAs achieved a high signal-to-noise ratio (15.53 ± 6.73) in the detection of individual neurons, even against weak neural activity in dormant states. We discovered that three types of neurons exhibited distinct responses to hibernation and established three-dimensional characteristics to differentiate them through algorithmic processing of the signal. Type 3 neurons discharged in the extremely low metabolic state, indicating that Type 3 neurons are critical for chipmunks to enter and maintain deep hibernation without damaging the brain. The theta frequency band of local field potentials (LFPs) rapidly increased during arousal, representing consciousness arousal, and can be used as a key signal to predict arousal. These results fill part of the research gaps in the characteristics of critical neurons during hibernation and provide a solid foundation for regulating neurons to control the body into a state of low temperature and low metabolism.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"37 1","pages":""},"PeriodicalIF":9.1000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PtNPs/Prussian Blue-Modified Microelectrode Arrays for Detection of Key Neurons Regulating Hibernation State.\",\"authors\":\"Yiding Wang,Chao Yang,Yilin Song,Guihua Xiao,Jiangbei Cao,Weidong Mi,Gucheng Yang,Wei Xu,Yuchuan Dai,Juntao Liu,Zhongquan Dai,Lina Qu,Jinping Luo,Yinghui Li,Xinxia Cai\",\"doi\":\"10.1021/acssensors.5c00310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Studying neuronal activity during hibernation's extremely low metabolic state may offer novel solutions for metabolic disorders, stroke treatment, and space travel challenges. To explore hibernation's neural mechanisms, we developed a natural hibernation model using Siberian chipmunks(Tamias sibiricus). However, their characteristic weak neuronal discharge and prolonged hibernation periods necessitate electrodes with both enhanced detection sensitivity and exceptional long-term stability. We developed a new nanocomposite platinum nanoparticles/Prussian blue-modified microelectrode arrays (MEAs) aimed at solving the above difficulties. Prussian blue can react with reactive oxygen species to reduce inflammation during the detection process; therefore, MEAs achieved a high signal-to-noise ratio (15.53 ± 6.73) in the detection of individual neurons, even against weak neural activity in dormant states. We discovered that three types of neurons exhibited distinct responses to hibernation and established three-dimensional characteristics to differentiate them through algorithmic processing of the signal. Type 3 neurons discharged in the extremely low metabolic state, indicating that Type 3 neurons are critical for chipmunks to enter and maintain deep hibernation without damaging the brain. The theta frequency band of local field potentials (LFPs) rapidly increased during arousal, representing consciousness arousal, and can be used as a key signal to predict arousal. These results fill part of the research gaps in the characteristics of critical neurons during hibernation and provide a solid foundation for regulating neurons to control the body into a state of low temperature and low metabolism.\",\"PeriodicalId\":24,\"journal\":{\"name\":\"ACS Sensors\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2025-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Sensors\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1021/acssensors.5c00310\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Sensors","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acssensors.5c00310","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
PtNPs/Prussian Blue-Modified Microelectrode Arrays for Detection of Key Neurons Regulating Hibernation State.
Studying neuronal activity during hibernation's extremely low metabolic state may offer novel solutions for metabolic disorders, stroke treatment, and space travel challenges. To explore hibernation's neural mechanisms, we developed a natural hibernation model using Siberian chipmunks(Tamias sibiricus). However, their characteristic weak neuronal discharge and prolonged hibernation periods necessitate electrodes with both enhanced detection sensitivity and exceptional long-term stability. We developed a new nanocomposite platinum nanoparticles/Prussian blue-modified microelectrode arrays (MEAs) aimed at solving the above difficulties. Prussian blue can react with reactive oxygen species to reduce inflammation during the detection process; therefore, MEAs achieved a high signal-to-noise ratio (15.53 ± 6.73) in the detection of individual neurons, even against weak neural activity in dormant states. We discovered that three types of neurons exhibited distinct responses to hibernation and established three-dimensional characteristics to differentiate them through algorithmic processing of the signal. Type 3 neurons discharged in the extremely low metabolic state, indicating that Type 3 neurons are critical for chipmunks to enter and maintain deep hibernation without damaging the brain. The theta frequency band of local field potentials (LFPs) rapidly increased during arousal, representing consciousness arousal, and can be used as a key signal to predict arousal. These results fill part of the research gaps in the characteristics of critical neurons during hibernation and provide a solid foundation for regulating neurons to control the body into a state of low temperature and low metabolism.
期刊介绍:
ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.