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Lipid metabolism analysis in esophageal cancer and associated drug discovery

Journal of Pharmaceutical Analysis 2024年第1期14卷 1-15页

作者： Ruidi Jiao Wei Jiang Kunpeng Xu Qian Luo Luhua Wang Chao Zhao Bionic Sensing and Intelligence center Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518000China Department of Radiation Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital&Shenzhen HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeShenzhenGuangdong518116China School of Medicine Southern University of Science and TechnologyShenzhenGuangdong518000China University of Chinese Academy of Sciences Beijing100049China Shenzhen Key Laboratory of Precision Diagnosis and Treatment of depression Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518000China

Esophageal cancer is an upper gastrointestinal malignancy with a bleak *** is still being explored in depth due to its complex molecular mechanisms of occurrence and *** play a crucial role in cells by participating in energy supply,biofilm formation,and signal transduction processes,and lipid metabolic reprogramming also constitutes a significant characteristic of malignant *** and more studies have found esophageal cancer has obvious lipid metabolism abnormalities throughout its beginning,progress,and treatment *** inhibition of tumor growth and the enhancement of antitumor therapy efficacy can be achieved through the regulation of lipid ***,we reviewed and analyzed the research results and latest findings for lipid metabolism and associated analysis techniques in esophageal cancer,and comprehensively proved the value of lipid metabolic reprogramming in the evolution and treatment resistance of esophageal cancer,as well as its significance in exploring potential therapeutic targets and biomarkers.

关键词： Lipid metabolism Esophageal cancer Progression Treatment resistance New therapeutic targets

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Food-derived protein hydrolysates and peptides:anxiolytic and antidepressant activities,characteristics,and mechanisms

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Food Science and Human Wellness 2024年第3期13卷 1168-1185页

作者： Wenhui Li Yu Xi Junru Wang Yinxiao Zhang He Li Xinqi Liu Beijing Advanced Innovation center for Food Nutrition and Human Health Beijing Engineering and Technology Research Center of Food AdditivesNational Soybean Processing Industry Technology Innovation CenterBeijing Technology and Business UniversityBeijing 100048China

Globally,the prevalence of anxiety and depression has reached epidemic ***-derived protein hydrolysates and peptides delivered through dietary supplementation can avoid the negative risks associated with traditional pharmaceuticals while delivering superior anxiolytic and antidepressant *** review summarizes current research on food-derived anxiolytic and antidepressant protein hydrolysates and peptides,and subsequently analyses their physicochemical characteristics and elaborates on their *** aim of this work is to contribute to the in-depth study and provide a theoretical foundation for the development of related products to better serve patients with anxiety and depression.

关键词： Anxiolytic Antidepressant Peptides Protein hydrolysates Neurotransmitter

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Microplastome visualizations:From spatiotemporal distribution to risk assessment

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The Innovation 2024年第5期5卷 23-24页

作者： Chao Zhao Bailin Zhao Fengbang Wang Guangbo Qu Qian Luo Ling Guo Xiaotian Tan Xiaona Li Peng Zhou Zongwei Cai Institute of Scientific Instrumentation Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China State Key Laboratory of Environmental and Biological Analysis Department of ChemistryHong Kong Baptist UniversityHong KongSAR 999077China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100083China Institute of Molecular and Translational Medicine(IMTM) and Department of Biochemistry and Molecular BiologyXi’an Jiaotong University Health Science CenterXi’an 710049China The Second Affiliated Hospital of Xi’an Jiaotong University Xi’anShaanxi 710049China Shenzhen Key Laboratory of Epigenetics and Precision Medicine for Cancers National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital&Shenzhen HospitalChinese Academic of Medical Sciences&Peking Union Medical CollegeShenzhen 518100China Department of Pharmacy Peking University Third HospitalBeijing 100096China Department of Ultrasound First Affiliated Hospital of Shenzhen University Health Science CenterShenzhen Second People’s HospitalShenzhen 518037China Shenzhen Key Laboratory of Precision Diagnosis and Treatment of depression Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

VECTOR EFFECT OF MICROPLASTIC *** microplastic pollution issue is infamous for its enormous multidimensionality and the intricate combination arising from plastics themselves and“plasticassociated chemicals.”Interactions between microplastic particles with multiple chemicals can affect biological health and alter the toxicity of the primary environmental *** complex combinations raise great challenges to experimental design for toxicity evaluation,going beyond the investigation of individual or dual *** research and an integrated visualization strategy are needed to decipher these biochemical processes and molecular mechanisms.1,2.

关键词： distribution visualization chemicals

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Causal relationship between feelings and cognitive decline:An univariable and multivariable Mendelian randomization study

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World Journal of Psychiatry 2024年第3期14卷 421-433页

作者： Juan Liu Lin Liu Yi-Xin Hu Jian-Hua Li Xiao Zou Hao-Yun Zhang Li Fan Department of Cardiology The Second Medical Center&National Clinical Research Center for Geriatric DiseasesChinese PLA General HospitalBeijing 100853China Department of Pulmonary and Critical Care Medicine The Second Medical Center&National Clinical Research Center for Geriatric DiseasesChinese PLA General HospitalBeijing 100853China The Fourth Department of Geriatric Health Care The Second Medical Center&National Clinical Research Center for Geriatric DiseasesChinese PLA General HospitalBeijing 100853China Department of Anesthesiology First Medical Center of Chinese PLA General HospitalBeijing 100853China

BACKGROUND While the impact of depression on cognition is well-documented,the relationship between feelings and cognition has received limited *** To explore the potential association between feelings and cognition with a twosample Mendelian randomization(MR)*** Our analysis utilized genome-wide association data on various feelings(fed-up feelings,n=453071;worrier/anxious feelings,n=450765;guilty feelings,n=45-0704;nervous feelings,n=450700;sensitivity/hurt feelings,n=449419;miserableness,n=454982;loneliness/isolation,n=455364;happiness,n=152348)in the European population and their impact on cognitive functions(intelligence,n=269867).Conducting a univariable MR(UVMR)analysis to assess the relationship between feelings and *** this analysis,we applied the inverse variance weighting(IVW),weighted median,and MR Egger ***,we performed sensitivity analysis(leave-one-out analysis),assessed heterogeneity(using MR-PRESSO and Cochran’s Q test),and conducted multiple validity test(employing MR-Egger regression).Subsequently,a multivariable MR(MVMR)analysis was employed to examine the impact of feelings on *** served as the primary method in the multivariable analysis,complemented by median-based and MR-Egger *** In this study,UVMR indicated that sensitivity/hurt feelings may have a negative causal effect on cognition(OR=0.63,95%CI:0.43-0.92,P=0.017).After adjustment of other feelings using MVMR,a direct adverse causal effect on cognition was observed(OR_(MVMR)=0.39,95%CI:0.17-0.90,P_(MVMR)=0.027).While a potential increased risk of cognitive decline was observed for fed-up feelings in the UVMR analysis(ORUVMR=0.64,95%CI:0.42-0.97,PUVMR=0.037),this effect disappeared after adjusting for other feelings(OR_(MVMR)=1.42,95%CI:0.43-4.74,P_(MVMR)=0.569).These findings were generally consistent across MV-IVW,median-based,and MR-Egger ***-Egger regression revealed pleiotropy in the impact of worrier/anxious

关键词： Mendelian randomization analysis Feelings Cognition Intelligence

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DPABINet:脑网络和图论分析工具箱

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Science Bulletin 2024年第11期69卷 1628-1631页

作者：严超赣王鑫迪鲁彬邓昭宇高青林 CAS Key Laboratory of Behavioral Science Institute of PsychologyBeijing 100101China Department of Psychology University of Chinese Academy of SciencesBeijing 100101China International Big-Data center for depression Research Institute of PsychologyChinese Academy of SciencesBeijing 100101China Magnetic Resonance Imaging Research center Institute of PsychologyChinese Academy of SciencesBeijing 100101China McGill Centre for Integrative Neuroscience Montreal Neurological InstituteMcGill UniversityMontréal H3A 2B4Canada

The human brain, a marvel of intricate connections, functions as a complex network comprising structurally and functionally integrated regions. This network orchestrates a multitude of complex patterns through high-le... 详细信息

关键词：图论分析脑网络工具箱

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Transcriptional regulation in the development and dysfunction of neocortical projection neurons

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Neural Regeneration Research 2024年第2期19卷 246-254页

作者： Ningxin Wang Rong Wan Ke Tang Precise Genome Engineering center School of Life SciencesGuangzhou UniversityGuangzhouGuangdong ProvinceChina

Glutamatergic projection neurons generate sophisticated excitatory circuits to integrate and transmit information among different cortical areas,and between the neocortex and other regions of the brain and spinal *** development of cortical projection neurons is regulated by certain essential events such as neural fate determination,proliferation,specification,differentiation,migration,survival,axonogenesis,and *** processes are precisely regulated in a tempo-spatial manner by intrinsic factors,extrinsic signals,and neural *** generation of correct subtypes and precise connections of projection neurons is imperative not only to support the basic cortical functions(such as sensory information integration,motor coordination,and cognition)but also to prevent the onset and progression of neurodevelopmental disorders(such as intellectual disability,autism spectrum disorders,anxiety,and depression).This review mainly focuses on the recent progress of transcriptional regulations on the development and diversity of neocortical projection neurons and the clinical relevance of the failure of transcriptional modulations.

关键词： autism spectrum disorders cognition differentiation excitatory circuits intellectual disability neocortex neurodevelopmental disorders projection neuron specification transcriptional regulation

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众脑之力:通过开放神经影像数据和大规模协作催化神经精神疾病的创新发现

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Science Bulletin 2024年第10期69卷 1536-1555页

作者：鲁彬陈骁 Francisco Xavier Castellanos Paul M.Thompson 左西年臧玉峰严超赣 CAS Key Laboratory of Behavioral Science Institute of PsychologyBeijing 100101China Department of Psychology University of Chinese Academy of SciencesBeijing 100101China Department of Child and Adolescent Psychiatry NYU Grossman School of MedicineNew York 10016USA d Nathan Kline Institute for Psychiatric Research Orangeburg 10962USA Imaging Genetics center Mark&Mary Stevens Institute for Neuroimaging&InformaticsKeck School of MedicineUniversity of Southern CaliforniaLos Angeles 90033USA Developmental Population Neuroscience Research center IDG/McGovern Institute for Brain ResearchBeijing Normal UniversityBeijing 100875China National Basic Science Data center Beijing 100190China Centre for Cognition and Brain Disorders The Affiliated Hospital of Hangzhou Normal UniversityHangzhou 310004China Institute of Psychological Science Hangzhou Normal UniversityHangzhou 310030China Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairment Hangzhou 311121China International Big-Data center for depression Research Institute of PsychologyChinese Academy of SciencesBeijing 100101China Magnetic Resonance Imaging Research center Institute of PsychologyChinese Academy of SciencesBeijing 100101China

Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric *** pooling images from various cohorts,statistical power has increased,enabling the detection of subtle abnormalities and robust associations,and fostering new research *** collaborations in imaging have furthered our knowledge of the neurobiological foundations of brain disorders and aided in imaging-based prediction for more targeted ***-scale magnetic resonance imaging initiatives are driving innovation in analytics and supporting generalizable psychiatric *** also emphasize the significant role of big data in understanding neural mechanisms and in the early identification and precise treatment of neuropsychiatric ***,challenges such as data harmonization across different sites,privacy protection,and effective data sharing must be *** proper governance and open science practices,we conclude with a projection of how large-scale imaging resources and collaborations could revolutionize diagnosis,treatment selection,and outcome prediction,contributing to optimal brain health.

关键词： Magnetic resonance imaging Neuropsychiatric disorders Big data Open science Artificial intelligence

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Artificial synaptic simulating pain-perceptual nociceptor and brain-inspired computing based on Au/Bi_(3.2)La_(0.8)Ti_(3)O_(12)/ITO memristor

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Journal of Materiomics 2024年第6期10卷 1308-1316页

作者： Hao Chen Zhihao Shen Wen-Tao Guo Yan-Ping Jiang Wenhua Li Dan Zhang Zhenhua Tang Qi-Jun Sun Xin-Gui Tang School of Physics and Optoelectronic Engineering Guangdong University of TechnologyGuangzhou Higher Education Mega CenterGuangzhou510006China

Recently, memristors have garnered widespread attention as neuromorphic devices that can simulate synaptic behavior, holding promise for future commercial applications in neuromorphic computing. In this paper, we present a memristor with an Au/Bi_(3.2)La_(0.8)Ti_(3)O_(12) (BLTO)/ITO structure, demonstrating a switching ratio of nearly 103 over a duration of 104 s. It successfully simulates a range of synaptic behaviors, including long-term potentiation and depression, paired-pulse facilitation, spike-timing-dependent plasticity, spike-rate-dependent plasticity etc. Interestingly, we also employ it to simulate pain threshold, sensitization, and desensitization behaviors of pain-perceptual nociceptor (PPN). Lastly, by introducing memristor differential pairs (1T1R-1T1R), we train a neural network, effectively simplifying the learning process, reducing training time, and achieving a handwriting digit recognition accuracy of up to 97.19 %. Overall, the proposed device holds immense potential in the field of neuromorphic computing, offering possibilities for the next generation of high-performance neuromorphic computing chips.

关键词： Artificial synapse Memristor Resistive switching Pain-perceptual nociceptor Neuromorphic computing

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Automatic recognition of depression based on audio and video:A review

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World Journal of Psychiatry 2024年第2期14卷 225-233页

作者： Meng-Meng Han Xing-Yun Li Xin-Yu Yi Yun-Shao Zheng Wei-Li Xia Ya-Fei Liu Qing-Xiang Wang Shandong Mental Health center Shandong UniversityJinan 250014Shandong ProvinceChina Key Laboratory of Computing Power Network and Information Security Ministry of EducationShandong Computer Science Center(National Supercomputer Center in Jinan)Qilu University of Technology(Shandong Academy of Sciences)Jinan 250353Shandong ProvinceChina Shandong Engineering Research center of Big Data Applied Technology Faculty of Computer Science and TechnologyQilu University of Technology(Shandong Academy of Sciences)Jinan 250353Shandong ProvinceChina Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer ScienceJinan 250353Shandong ProvinceChina Department of Ward Two Shandong Mental Health CenterShandong UniversityJinan 250014Shandong ProvinceChina

depression is a common mental health *** current depression detection methods,specialized physicians often engage in conversations and physiological examinations based on standardized scales as auxiliary measures for depression ***-biological markers-typically classified as verbal or non-verbal and deemed crucial evaluation criteria for depression-have not been effectively *** physicians usually require extensive training and experience to capture changes in these *** in deep learning technology have provided technical support for capturing non-biological *** researchers have proposed automatic depression estimation(ADE)systems based on sounds and videos to assist physicians in capturing these features and conducting depression *** article summarizes commonly used public datasets and recent research on audio-and video-based ADE based on three perspectives:Datasets,deficiencies in existing research,and future development directions.

关键词： depression recognition Deep learning Automatic depression estimation System Audio processing Image processing Feature fusion Future development

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Application of artificial synapse based on all-inorganic perovskite memristor in neuromorphic computing

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Nano Materials Science 2024年第1期6卷 68-76页

作者： Fang Luo Wen-Min Zhong Xin-Gui Tang Jia-Ying Chen Yan-Ping Jiang Qiu-Xiang Liu School of Physics&Optoelectric Engineering Guangdong University of TechnologyGuangzhou Higher Education Mega CenterGuangzhou510006China

Artificial synapse inspired by the biological brain has great potential in the field of neuromorphic computing and artificial *** memristor is an ideal artificial synaptic device with fast operation and good ***,we have prepared a memristor device with Au/CsPbBr_(3)/ITO *** memristor device exhibits resistance switching behavior,the high and low resistance states no obvious decline after 400 switching *** memristor device is stimulated by voltage pulses to simulate biological synaptic plasticity,such as long-term potentiation,long-term depression,pair-pulse facilitation,short-term depression,and short-term *** transformation from short-term memory to long-term memory is achieved by changing the stimulation *** addition,a convolutional neural network was constructed to train/recognize MNIST handwritten data sets;a distinguished recognition accuracy of~96.7%on the digital image was obtained in 100 epochs,which is more accurate than other memristor-based neural *** results show that the memristor device based on CsPbBr3 has immense potential in the neuromorphic computing system.

关键词： Memristor CsPbBr_(3) Resistive switching Artificial synapse Neuromorphic computing

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