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Metal-organic frameworks as functional materials for implantable flexible biochemical sensors

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Nano research 2021年第9期14卷 2981-3009页

作者： Ya Li Wei Ling Xinyu Liu Xue Shang Pan Zhou Zhaorun Chen Hang Xu Xian Huang Department of Biomedical engineering Tianjin UniversityTianjin 300072China center of Flexible Wearable Technology Institute of flexible electronic technology ofTsinghuaJiaxing 314006China

Metal-organic frameworks(MOFs)exhibit attractive properties such as highly accessible surface area,large porosity,tunable pore size,and built-in redox-active metal *** may serve as excellent candidates to construct implantable flexible devices for biochemical sensing due to their high thermal and solution ***,MOFs-based sensors have only been mostly reported for in-vitro chemical sensing,their use in implantable chemical sensing and combination with flexible electronics to achieve excellent mechanical compatibility with tissues and organs has rarely been *** paper systematically reviews the biochemical sensors based on MOFs and discusses the feasibility to achieve implantable biochemical sensing through MOFs-based flexible *** properties of MOFs and underlying mechanisms have been intrcxluced,followed by a summarization of different biochemical sensing *** to integrate MOFs with flexible devices have been supplied from the standpoints of matching mechanics and compatible fabrication *** that should be addressed in developing flexible MOFs sensors and potential solutions have also been provided,followed by the perspective for future applications of flexible MOFs *** paper may serve as a reference to offer potential guidelines for the development of flexible MOFs-based biochemical sensors that may benefit future applications in personal healthcare,disease diagnosis and treatment,and fundamental study of various biological processes.

关键词： flexible electronics metal-organic frameworks biosensors chemical sensing implantable devices

Restoration of FMRP expression in adult V1 neurons rescues visual deficits in a mouse model of fragile X syndrome

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Protein & Cell 2022年第3期13卷 203-219页

作者： Chaojuan Yang Yonglu Tian Feng Su Yangzhen Wang Mengna Liu Hongyi Wang Yaxuan Cui Peijiang Yuan Xiangning Li Anan Li Hui Gong Qingming Luo Desheng Zhu Peng Cao Yunbo Liu Xunli Wang Min-hua Luo Fuqiang Xu Wei Xiong Liecheng Wang Xiang-yao Li Chen Zhang State Key Laboratory of Membrane Biology PKU-IDG/McGovern Institute for Brain ResearchSchool of Life SciencesPeking UniversityBeijing 100871China School of Basic Medical Sciences Beijing Key Laboratory of Neural Regeneration and RepairCapital Medical UniversityBeijing 100069China Peking-Tsinghua center for Life Sciences Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijing 100871China School of Mechanical engineering and Automation Beihang UniversityBeijing 100191China School of Life Sciences Tsinghua UniversityBeijing 100084China Britton Chance center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and TechnologyWuhan 430074China State Key Laboratory of Brain and cognitive Sciences Institute of BiophysicsChinese Academy of Sciences(CAS)Beijing 100101China Institute of Laboratory Animal Science Peking Union Medical College/Chinese Academy of Medical ScienceBeijing 100021China Laboratory Animal center Fujian University of Tradition Chinese MedicineFuzhou 350122China State Key Laboratory of Virology CAS Center for Excellence in Brain Science andIntelligence TechnologyWuhan Institute of VirologyCASWuhan 430071China center for Brain Science Key Laboratory of Magnetic Resonance in Biological Systems and State Key Laboratory of Magnetic Resonance and Atomic and Molecular PhysicsWuhan Institute of Physics and MathematicsCASCenter for Excellence in Brain Science and Intelligence TechnologyChinese Academy of SciencesWuhan 430071China Department of Physiology Anhui Medical UniversityHefei 230032China Department of Physiology Institute of Neuroscience and Collaborative Innovation Center for Brain ScienceSchool of MedicineZhejiang UniversityHangzhou 310058China

Many people affected by fragile X syndrome(FXS)and autism spectrum disorders have sensory processing deficits,such as hypersensitivity to auditory,tactile,and visual *** FXS in humans,loss of Fmr1 in rodents also cause sensory,behavioral,and cognitive ***,the neural mechanisms underlying sensory impairment,especially vision impairment,remain *** remains elusive whether the visual processing deficits originate from corrupted inputs,impaired perception in the primary sensory cortex,or altered integration in the higher cortex,and there is no effective *** this study,we used a genetic knockout mouse model(Fmr1^(KO)),in vivo imaging,and behavioral measurements to show that the loss of Fmr1 impaired signal processing in the primary visual cortex(V1).Specifically,Fmr1^(KO) mice showed enhanced responses to low-intensity stimuli but normal responses to high-intensity *** abnormality was accompanied by enhancements in local network connectivity in V1 microcircuits and increased dendritic complexity of V1 *** effects were ameliorated by the acute application of GABAA receptor activators,which enhanced the activity of inhibitory neurons,or by reintroducing Fmr1 gene expression in knockout V1 neurons in both juvenile and young-adult ***,V1 plays an important role in the visual abnormalities of Fmr1^(KO) mice and it could be possible to rescue the sensory disturbances in developed FXS and autism patients.

关键词： autism spectrum disorder calcium imaging fragile X syndrome primary visual cortex visual hypersensitivity

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容易断裂的可降解塑料

engineering 2021年第5期 173-185页

作者：杨栩旭 Jason Steck 杨加伟王叶成锁志刚 John A.Paulson School of engineering and Applied Sciences Kavli Institute for Bionano Science and Technology Harvard University State Key Laboratory of Fluid Power and Mechatronic System Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province Department of Engineering Mechanics & Center for X-Mechanics Zhejiang University

可降解塑料可以在特定环境中发生降解反应。上述降解反应动态过程的表征,往往通过测量塑料的质量和力学强度随时间的变化来实现。然而在塑料受到非均质降解的情况下,以上表征方法所得到的结果具有不准确性。本文研究了一种非均质的降解... 详细信息

可降解塑料可以在特定环境中发生降解反应。上述降解反应动态过程的表征,往往通过测量塑料的质量和力学强度随时间的变化来实现。然而在塑料受到非均质降解的情况下,以上表征方法所得到的结果具有不准确性。本文研究了一种非均质的降解过程:可降解塑料在化学和外力的共同作用下,其中的裂纹发生扩展。在外力作用下,裂纹被打开,裂纹尖端暴露于化学侵蚀作用下,使其扩展速率超过整体均质降解速率。本文以聚乳酸(PLA)降解中的裂纹扩展为研究对象。PLA是一种聚酯类塑料,包含可被水解的酯键。使用剪刀在PLA薄膜上引入初始裂纹,然后搭建装置将其撕裂,并用显微镜记录裂纹的扩展过程。最终发现在加载的能量释放率范围内,裂纹扩展速率对载荷的变化不敏感,却对湿度和p H值具有较高的敏感性。这些发现将有助于可降解塑料的发展,并在医疗行业和环境可持续性发展方面具有重要意义。

关键词：可降解塑料水解反应 pH值裂纹扩展

U-Net-based deep learning for tracking and quantitative analysis of intracellular vesicles in time-lapse microscopy images

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Journal of Innovative Optical Health Sciences 2022年第5期15卷 63-73页

作者： Zhichao Liu Heng Zhang Luhong Jin Jincheng Chen Alexander Nedzved Sergey Ablameyko Qing Ma Jiahui Yu Yingke Xu Department of Biomedical engineering MOE Key Laboratory of Biomedical engineering State Key Laboratory of Modern Optical Instrumentation zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal zhejiang University Hangzhou 310027P.R.China Alibaba-zhejiang University Joint research center of Future Digital healthcare Hangzhou 310027P.R.China National Academy of Sciences United Institute of Informatics Problems Belarusian State University Minsk 220012Republic of Belarus§Hangzhou Dowell Photonics Measurement Company Limited Hangzhou 310000P.R.China Binjiang Institute of zhejiang University Hangzhou 310053 P.R.China Department of Endocrinology Children's Hospital of zhejiang University School of Medicine National Clinical research center for Children's Health Hangzhou 310051 China

Fluorescence microscopy has become an essential tool for biologists,to visualize the dynamics of intracellular structures with specific *** measuring the dynamics of moving objects inside the cell is pivotal for understanding of the underlying regulatory ***-containing vesicles are involved in various biological processes such as material transportation,organelle interaction,and hormonal regulation,whose dynamic characteristics are signi¯cant to disease diagnosis and drug *** some algorithms have been developed for vesicle tracking,most of them have limited performance when dealing with images with low resolution,poor signal-to-noise ratio(SNR)and complicated ***,we proposed a novel deep learning-based method for intracellular vesicle *** trained the U-Net for vesicle localization and motion classification,with demonstrates great performance in both simulated datasets and real biological *** combination with fan-shaped tracker(FsT)we have previously developed,this hybrid new algorithm significantly improved the performance of particle tracking with the function of subsequently automated vesicle motion ***,its performance was further demonstrated in analyzing with vesicle dynamics in different temperature,which achieved reasonable ***,we anticipate that this novel method would have vast applications in analyzing the vesicle dynamics in living cells.

关键词： Deep learning image processing vesicle tracking fluorescence microscopy U-Net.

Charting brain growth in tandem with brain templates at school age

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Science Bulletin 2020年第22期65卷 1924-1934,M0004页

作者： Hao-Ming Dong F.Xavier Castellanos Ning Yang Zhe Zhang Quan Zhou Ye He Lei Zhang Ting Xu Avram J.Holmes B.T.Thomas Yeo Feiyan Chen Bin Wang Christian Beckmann Tonya White Olaf Sporns Jiang Qiu Tingyong Feng Antao Chen Xun Liu Xu Chen Xuchu Weng Michael P.Milham Xi-Nian Zuo research center for Lifespan Development of Brain and Mind Institute of PsychologyChinese Academy of Sciences(CAS)Beijing 100101China State Key Laboratory of cognitive Neuroscience and Learning Beijing Normal UniversityBeijing 100875China Department of Child and Adolescent Psychiatry New York University School of MedicineNew YorkNY 10016USA Nathan Kline Institute for Psychiatric research OrangeburgNew YorkNY 10962USA Department of Psychology University of CASBeijing 100049China Department of Psychological and Brain Sciences Indiana UniversityBloomingtonIN 47405USA Child Mind Institute New YorkNY 10022USA Department of Psychology Yale UniversityNew HavenCT 06511USA Department of Electrical and Computer engineering Clinical Imaging Research CentreN.1 Institute for Health and Memory Networks ProgramNational University of SingaporeSingapore 117574Singapore Department of Physics Zhejiang UniversityHangzhou 310058China Binzhou Medical University Yantai 264100China Donders Institute Radboud University Medical CentreNijmegen 6525 ENNetherlands Department of Child and Adolescent Psychiatry Erasmus UniversityRotterdam 3000 CBNetherlands Department of Radiology Erasmus University Medical CentreRotterdam 3000 CANetherlands School of Psychology Southwest UniversityChongqing 400715China Institute for Brain research and Rehabilitation South China Normal UniversityGuangzhou 510631China Institute of Children Health Changzhou Children’s HospitalChangzhou 213003China Key Laboratory of Brain and Education School of Education ScienceNanning Normal UniversityNanning 530001China CAS Key Laboratory of Behavioral Science Institute of PsychologyBeijing 100101China IDG/McGovern Institute for Brain research Beijing Normal UniversityBeijing 100875China

Brain growth charts and age-normed brain templates are essential resources for researchers to eventually contribute to the care of individuals with atypical developmental *** present work generates age-normed brain templates for children and adolescents at one-year intervals and the corresponding growth charts to investigate the influences of age and ethnicity using a common pediatric neuroimaging *** accelerated longitudinal cohorts with the identical experimental design were implemented in the United States and *** magnetic resonance imaging(MRI)of typically developing school-age children(TDC)was obtained up to three times at nominal intervals of1.25 *** protocol generated and compared population-and age-specific brain templates and growth charts,respectively.A total of 674 Chinese pediatric MRI scans were obtained from 457 Chinese TDC and 190 American pediatric MRI scans were obtained from 133 American ***-and age-specific brain templates were used to quantify warp cost,the differences between individual brains and brain *** growth charts for labeled brain network areas were *** analyses of cost functions supported the necessity of age-specific and ethnicitymatched brain templates,which was confirmed by growth chart *** analyses revealed volumetric growth differences between the two ethnicities primarily in lateral frontal and parietal areas,regions which are most variable across individuals in regard to their structure and ***-and ethnicity-specific brain templates facilitate establishing unbiased pediatric brain growth charts,indicating the necessity of the brain charts and brain templates generated in *** templates and growth charts as well as related codes have been made freely available to the public for open neuroscience(https://***/zuoxinian/CCS/tree/master/H3/Growth Charts).

关键词： Growth charts Neuroimaging Ethnicity Brain templates Development

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人工智能在药学领域中的应用（英文）

engineering 2023年第8期 37-69页

作者： Mingkun Lu Jiayi Yin Qi Zhu Gaole Lin Minjie Mou Fuyao Liu Ziqi Pan Nanxin You Xichen Lian Fengcheng Li Hongning Zhang Lingyan Zheng Wei Zhang Hanyu Zhang Zihao Shen Zhen Gu Honglin Li Feng Zhu College of Pharmaceutical Sciences & The Second Affiliated Hospital School of MedicineZhejiang University Innovation Institute for Artificial Intelligence in Medicine of zhejiang University Alibaba–Zhejiang University Joint Research Center of Future Digital Healthcare Shanghai Key Laboratory of New Drug Design East China University of Science and Technology Innovation center for AI and Drug Discovery East China Normal University Lingang Laboratory

Drug discovery and development affects various aspects of human health and dramatically impacts the pharmaceutical market. However, investments in a new drug often go unrewarded due to the long and complex process of drug research and development(R&D). With the advancement of experimental technology and computer hardware, artificial intelligence(AI) has recently emerged as a leading tool in analyzing abundant and high-dimensional data. Explosive growth in the size of biomedical data provides advantages in applying AI in all stages of drug R&D. Driven by big data in biomedicine, AI has led to a revolution in drug R&D, due to its ability to discover new drugs more efficiently and at lower *** review begins with a brief overview of common AI models in the field of drug discovery; then, it summarizes and discusses in depth their specific applications in various stages of drug R&D, such as target discovery, drug discovery and design, preclinical research, automated drug synthesis, and influences in the pharmaceutical market. Finally, the major limitations of AI in drug R&D are fully discussed and possible solutions are proposed.

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Self-Assembled Porous-Reinforcement Microstructure-Based Flexible Triboelectric Patch for Remote healthcare

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Nano-Micro Letters 2023年第7期15卷 324-336页

作者： Hao Lei Haifeng Ji Xiaohan Liu Bohan Lu Linjie Xie Eng Gee Lim Xin Tu Yina Liu Peixuan Zhang Chun Zhao Xuhui Sun Zhen Wen Institute of Functional Nano and Soft Materials(FUNSOM) Joint International Research Laboratory of Carbon-Based Functional Materials and DevicesSoochow UniversitySuzhou 215123People’s Republic of China Department of Electrical and Electronic engineering School of Advanced TechnologyXi’an Jiaotong-Liverpool UniversitySuzhou 215123People’s Republic of China Department of Applied Mathematics School of Mathematics and PhysicsXi’an Jiaotong-Liverpool UniversitySuzhou 215123People’s Republic of China Department of Electrical and Electronic engineering University of LiverpoolLiverpool L693GJUK Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices Soochow UniversitySuzhou 215123JiangsuPeople’s Republic of China

Realizing real-time monitoring of physiological signals is vital for preventing and treating chronic diseases in elderly individuals. However,wearable sensors with low power consumption and high sensitivity to both weak physiological signals and large mechanical stimuli remain ***, a flexible triboelectric patch(FTEP) based on porous-reinforcement microstructures for remote health monitoring has been reported. The porousreinforcement microstructure is constructed by the self-assembly of silicone rubber adhering to the porous framework of the PU sponge. The mechanical properties of the FTEP can be regulated by the concentrations of silicone rubber dilution. For pressure sensing, its sensitivity can be effectively improved fivefold compared to the device with a solid dielectric layer, reaching 5.93 kPa^(-1) under a pressure range of 0–5 kPa. In addition, the FTEP has a wide detection range up to 50 kPa with a sensitivity of 0.21 kPa^(-1). The porous microstructure makes the FTEP ultra-sensitive to external pressure, and the reinforcements endow the device with a greater deformation limit in a wide detection range. Finally, a novel concept of the wearable Internet of healthcare(Io H) system for real-time physiological signal monitoring has been proposed, which could provide real-time physiological information for ambulatory personalized healthcare monitoring.

关键词： Pressure sensor Triboelectric nanogenerator Porous dielectric layer Physiological signals Internet of healthcare

Preserving cognitive function in patients with Alzheimer's disease:The Alzheimer's disease neuroprotection research initiative(ADNRI)

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Neuroprotection 2023年第2期1卷 84-98页

作者： Jie Liu Heleen van Beusekom Xian-Le Bu Gong Chen Paulo Henrique Rosado de Castro Xiaochun Chen Xiaowei Chen Andrew N.Clarkson Tracy D.Farr Yuhong Fu Jianping Jia Jukka Jolkkonen Woojin Scott Kim Paula Korhonen Shen Li Yajie Liang Guang-Hui Liu Guiyou Liu Yu-Hui Liu Tarja Malm Xiaobo Mao Joaquim Miguel Oliveira Mike M.Modo Pedro Ramos-Cabrer Karsten Ruscher Weihong Song Jun Wang Xuanyue Wang Yun Wang Haitao Wu Lize Xiong Yi Yang Keqiang Ye Jin-Tai Yu Xin-Fu Zhou Marietta Zille Colin L.Masters Piotr Walczak Boltze Johannes Xunming Ji Yan-Jiang Wang Department of Neurology Daping HospitalThird Military Medical UniversityChongqingChina Chongqing Key Laboratory of Ageing and Brain Diseases ChongqingChina Division of Experimental Cardiology Department of CardiologyErasmus MCUniversity Medical CenterRotterdamThe Netherlands Institute of Brain and Intelligence Third Military Medical UniversityChongqingChina Guangdong-HongKong-Macao Institute of CNS Regeneration(GHMICR) Jinan UniversityGuangzhouGuangdongChina Institute of Biomedical Sciences Federal University of Rio de JaneiroRio de JaneiroRio de JaneiroBrazil Fujian Key Laboratory of Molecular Neurology Department of Neurology and GeriatricsFujian Institute of GeriatricsFujian Medical University Union HospitalInstitute of NeuroscienceFujian Medical UniversityFuzhouFujianChina Guangyang Bay Laboratory Chongqing Institute for Brain and IntelligenceChongqingChina center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghaiChina Department of Anatomy Brain Health Research Centre and Brain Research New ZealandUniversity of OtagoDunedinNew Zealand School of Life Sciences University of NottinghamNottinghamUK Brain and Mind Centre&School of Medical Sciences The University of SydneySydneyNew South WalesAustralia Innovation center for Neurological Disorders and Department of Neurology Xuanwu HospitalNational Clinical Research Center for Geriatric DiseasesCapital Medical UniversityBeijingChina A.I.Virtanen Institute for Molecular Sciences University of Eastern FinlandKuopioFinland Department of Neurology and Psychiatry Beijing Shijitan HospitalCapital Medical UniversityBeijingChina Department of Diagnostic Radiology and Nuclear Medicine University of Maryland School of MedicineBaltimoreMarylandUSA University of Chinese Academy of Sciences BeijingChina State Key Laboratory of Membrane Biology Institute of ZoologyChinese Academy of SciencesBeijingChina Beijing Institute of Brain Disorders Laboratory of Brain DisordersMinistry of Sci

The global trend toward aging populations has resulted in an increase in the occurrence of Alzheimer's disease(AD)and associated socioeconomic *** metabolism of amyloid-β(Aβ)has been proposed as a significant pathomechanism in AD,supported by results of recent clinical trials using anti-Aβ***,the cognitive benefits of the current treatments are *** etiology of AD is multifactorial,encompassing Aβand tau accumulation,neuroinflammation,demyelination,vascular dysfunction,and comorbidities,which collectively lead to widespread neurodegeneration in the brain and cognitive ***,solely removing Aβfrom the brain may be insufficient to combat neurodegeneration and preserve *** attain effective treatment for AD,it is necessary to(1)conduct extensive research on various mechanisms that cause neurodegeneration,including advances in neuroimaging techniques for earlier detection and a more precise characterization of molecular events at scales ranging from cellular to the full system level;(2)identify neuroprotective intervention targets against different neurodegeneration mechanisms;and(3)discover novel and optimal combinations of neuroprotective intervention strategies to maintain cognitive function in AD *** Alzheimer's Disease Neuroprotection research Initiative's objective is to facilitate coordinated,multidisciplinary efforts to develop systemic neuroprotective strategies to combat *** aim is to achieve mitigation of the full spectrum of pathological processes underlying AD,with the goal of halting or even reversing cognitive decline.

关键词： Alzheimer's disease early intervention neural regeneration neuroprotection systematic perspective