文献类型：期刊文献

英文题名：A visually-induced optogenetically-engineered system enables autonomous glucose homeostasis in mice

作者：Li, Shurui[1];Zhou, Yang[2,3,4];Kong, Deqiang[2,3];Miao, Yangyang[5];Guan, Ningzi[2,3];Gao, Ganglong[6];Jin, Jing[1,7];Ye, Haifeng[2,3,4]

机构：[1]East China Univ Sci & Technol, Sch Math, Shanghai 200237, Peoples R China;[2]East China Normal Univ, Inst Biomed Sci, Biomed Synthet Biol Res Ctr, Synthet Biol & Biomed Engn Lab,Shanghai Key Lab Re, Shanghai 200241, Peoples R China;[3]East China Normal Univ, Sch Life Sci, Shanghai 200241, Peoples R China;[4]East China Normal Univ, Wuhu Hosp, Hlth Sci Ctr, Anhui 241001, Peoples R China;[5]Nantong Univ, Sch Elect Engn & Automat, Nantong 226019, Jiangsu, Peoples R China;[6]Shanghai Jiao Tong Univ, Sch Med, Dept Biliary Pancreat Surg, Renji Hosp, Shanghai, Peoples R China;[7]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2025

卷号：378

起止页码：27

外文期刊名：JOURNAL OF CONTROLLED RELEASE

收录：;EI(收录号：20245017508881);WOS:【SCI-EXPANDED(收录号:WOS:001434356100001)】；

基金：We thank Y. Han from Tsinghua University for assistance with the mathematical modeling. This work was financially supported by grants from the National Natural Science Foundation of China (NSFC: no. 32250010, no. 32261160373, no. 32430064) , the Science and Technology Commission of Shanghai Municipality (no. 23HC1410100 and 22N31900300) , the Fundamental Research Funds for the Central Universities, and the Open Research Project of Shanghai Key Laboratory of Diabetes Mellitus (SHKLD-KF-2201) to H.Y. This work also received support from STI 2030-major projects (2022ZD0208900) and the National Natural Science Foundation of China (62176090) , as well as from the Shanghai Municipal Science and Technology Major Project (2021SHZDZX) and the Program of Introducing Talents of Discipline to Universities through the 111 Project (B17017) . This research also received support from the Project of Jiangsu Province Science and Technology Plan Special Fund in 2022 (Key research and development plan industry foresight and key core technologies) (BE2022064-1) . Additionally, this work was supported by the Young Scientists Fund of the National Natural Science Foundation of China (62306111, 62206096, and 32300458) , the China Postdoctoral Science Foundation (2023M741177, 2022M711148, GZB20230216, 2022M721163, and no. BX20230128) , and partially by the Science and Technology Commission of Shanghai Municipality (no. 23YF1410700) , and partially by the Natural Science Foundation of Chongqing (CSTB2023NSCQ-MSX0126).

语种：英文

外文关键词：Brain-computer interface; Visual EEG; Optogenetics; Synthetic designer cells; Diabetic mice; Blood glucose homeostasis

摘要：With the global population increasing and the demographic shifting toward an aging society, the number of patients diagnosed with conditions such as peripheral neuropathies resulting from diabetes is expected to rise significantly. This growing health burden has emphasized the need for innovative solutions, such as brain-computer interfaces. brain-computer interfaces, a multidisciplinary field that integrates neuroscience, engineering, and computer science, enable direct communication between the human brain and external devices. In this study, we developed an autonomous diabetes therapeutic system that employs visually-induced electroencephalography devices to capture and decode event-related potentials using machine learning techniques. We present the visually-induced optogenetically-engineered system for therapeutic expression regulation (VISITER), which generates diverse output commands to control illumination durations. This system regulates insulin expression through optogenetically-engineered cells, achieving blood glucose homeostasis in mice. Our results demonstrate that VISITER effectively and precisely modulates therapeutic protein expression in mammalian cells, facilitating the rapid restoration of blood glucose homeostasis in diabetic mice. These findings underscore the potential for diabetic patients to manage insulin levels autonomously by focusing on target images, paving the way for a more self-directed approach to blood glucose control.