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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

基于深度学习的mRI影像组学无创识别HER2低表达状态可预测乳腺癌病人的无病生存期

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国际医学放射学杂志 2024年第2期 252-253页

作者： y.Guo X.T.Xie W.j.Tang S.y.chen m.y.Wang y.H.Fan 侯唯姝

摘要目的建立基于深度学习的mRI影像组学（DLR）特征模型，以预测人表皮生长因子受体2(HER2)低表达状态，并进一步通过DLR模型验证乳腺癌病人在预后方面的

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SARS-CoV-2 RbD and Its Variants Can Induce Platelet Activation and Clearance:Implications for Antibody Therapy and Vaccinations against COVID-19

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Research 2024年第3期2023卷 1-15页

作者： Xiaoying ma jady Liang Guangheng Zhu Preeti bhoria Aron A.Shoara Daniel T.macKeigan Christopher j.Khoury Sladjana Slavkovicl Lisha Lin Danielle Karakas Ziyan chen Viktor Prifti Zhenze liu Chuanbin Shen yuchong Li cheng Zhang jiayu Dou Zack Rousseau jiamin Zhang Tiffany Ni Xi Lei Pingguo chen Xiaoyu Wu Hamed Shaykhalishahi Samira mubareka Kim AConnelly Haibo Zhang Ori Rotstein Heyu Ni Department of Laboratory medicine and Pathobiology University of TorontoTorontoONCanada Department of Laboratory medicine Keenan Research Centre for Biomedical Science of St.Michael’s HospitalTorontoONCanada Toronto Platelet Immunobiology Group TorontoONCanada Department of Physiology University of TorontoTorontoONCanada CCOA Therapeutics Inc. TorontoONCanada Canadian blood Services Centre for Innovation TorontoONCanada The State Key Laboratory of Respiratory Disease Guangzhou Institute of Respiratory DiseaseThe First Affiliated Hospital of Guangzhou Medical UniversityGuangzhouGuangdongChina Department of Laboratory medicine The Second Affliated Hospital of Guangzhou University of Chinese MedicineGuangzhouChina Advanced Pharmaceutics&Drug Delivery Laboratory Leslie Dan Faculty of PharmacyUniversity of TorontoTorontoONCanada Department of medical microbiology and Infectious Disease Sunnybrook Health Science CentreToronto ONCanada Department of medicine University of TorontoTorontoONCanada Division of Cardiology.St.michael's Hospital TorontoONCanada Department of Anesthesiology and Pain medicine and Division of Critical Care medicine University of TorontoTorontoONCanada interdepartmental Division of Critical Care medicine University of TorontoTorontoONCanada Department of Surgery University of Toronto TorontoONCanada.

The COVID-19 pandemic caused by SARS-CoV-2 virus is an ongoing global health *** cases of COVID-19 and the rare cases of COVID-19 vaccine-induced-thrombotic-thrombocytopenia(VITT)are both associated with thrombosis and thrombocytopenia;however,the underlying mechanisms remain inadequately *** infection and vaccination utilize the spike protein receptor-binding domain(RbD)of *** found that intravenous injection of recombinant RbD caused significant platelet clearance in *** investigation revealed the RbD could bind platelets,cause platelet activation,and potentiate platelet aggregation,which was exacerbated in the Delta and Kappa *** RbD–platelet interaction was partially dependent on theβ3 integrin as binding was significantly reduced inβ3−/−***,RbD binding to human and mouse platelets was significantly reduced with relatedαIIbβ3 antagonists and mutation of the RGD(arginine-glycine-aspartate)integrin binding motif to RGE(arginine-glycine-glutamate).We developed anti-RbD polyclonal and several monoclonal antibodies(mAbs)and identified 4F2 and 4H12 for their potent dual inhibition of RbD-induced platelet activation,aggregation,and clearance in vivo,and SARS-CoV-2 infection and replication in Vero E6 *** data show that the RbD can bind platelets partially thoughαIIbβ3 and induce platelet activation and clearance,which may contribute to thrombosis and thrombocytopenia observed in COVID-19 and *** newly developed mAbs 4F2 and 4H12 have potential not only for diagnosis of SARS-CoV-2 virus antigen but also importantly for therapy against COVID-19.

关键词： Antibody diagnosis vaccine

Gene replacement therapy in bietti crystalline corneoretinal dystrophy:an open-label,single-arm,exploratory trial

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Signal Transduction and Targeted Therapy 2024年第5期9卷 2275-2284页

作者： jinyuan Wang jinlu Zhang Shicheng yu Hongyan Li Shaohong chen jingting Luo Haibo Wang yuxia Guan Haihan Zhang Shiyi yin Huili Wang Heping Li junle liu jingyuan Zhu Qiong yang ying Sha Chuan Zhang yuhang yang xuan yang Xifang Zhang Xiuli Zhao Likun Wang Liping yang Wenbin Wei beijing Tongren Eye Center Beijing Key Laboratory of Intraocular Tumor Diagnosis and TreatmentBeijing Ophthalmology&Visual Sciences Key LabMedical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information TechnologyBeijing Tongren HospitalCapital Medical University100730 BeijingChina School of Clinical medicine Tsinghua University100084 BeijingChina Chigenovo Co. Ltd.102206 BeijingChina Department of Ophthalmology Peking University Third HospitalBeijing Key Laboratory of Restoration of Damaged Ocular NervePeking University Third Hospital100191 BeijingChina Department of Ophthalmology The Third People’s Hospital of Dalian116091 DalianChina Department of biomedical Informatics School of Basic Medical SciencesPeking University Health Science Center100191 BeijingChina Institute of Systems biomedicine Department of PathologySchool of Basic Medical SciencesPeking University Health Science Center100191 BeijingChina

bietti crystalline corneoretinal dystrophy is an inherited retinal disease caused by mutations in CyP4V2,which results in blindness in the working-age population,and there is currently no available ***,we report the results of the first-in-human clinical trial(NCT04722107)of gene therapy for bietti crystalline corneoretinal dystrophy,including 12 participants who were followed up for 180-365 *** open-label,single-arm exploratory trial aimed to assess the safety and efficacy of a recombinant adeno-associated-virus-serotype-2/8 vector encoding the human CyP4V2 protein(rAAV2/8-hCyP4V2).Participants received a single unilateral subretinal injection of 7.5×10^(10)vector genomes of rAAV2/***,73 treatment-emergent adverse events were reported,with the majority(98.6%)being of mild or moderate intensity and considered to be procedure-or corticosteroid-related;no treatment-related serious adverse events or local/systemic immune toxicities were *** with that measured at baseline,77.8%of the treated eyes showed improvement in best-corrected visual acuity(bCVA)on day 180,with a mean±standard deviation increase of 9.0±10.8 letters in the 9 eyes analyzed(p=0.021).by day 365,80%of the treated eyes showed an increase in bCVA,with a mean increase of 11.0±10.6 letters in the 5 eyes assessed(p=0.125).Importantly,the patients’improvement observed using multifocal electroretinogram,microperimetry,and Visual Function Questionnaire-25 further supported the beneficial effects of the *** conclude that the favorable safety profile and visual improvements identified in this trial encourage the continued development of rAAV2/8-hCyP4V2(named ZVS101e).

关键词： cor dystrophy crystalline

高、低核酸含量原核生物应对资源可利用性降低和原生动物选择性摄食的适应性策略

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中国科学：地球科学 2024年第6期54卷 1901-1913页

作者：胡晨余柳倩陈晓炜刘纪化张瑶 john bATT 肖喜林石蔷张锐骆庭伟焦念志徐大鹏厦门大学环境与生态学院厦门361102 近海海洋环境科学国家重点实验室厦门大学海洋与地球学院福建省海洋碳汇重点实验室厦门361102 joint Lab for Ocean Research and Education(LORE)of Dalhousie university Canadaand Shandong University and Xiamen UniversityXiamen 361102China 香港科技大学(广州)地球与海洋大气科学学域广州510000 山东大学海洋研究院青岛266237 Department of Oceanography Dalhousie UniversityHalifaxNova Scotia B3H 4R2Canada 深圳大学高等研究院深圳518060 厦门大学碳中和创新研究中心厦门361102

原核生物在全球海洋生物地球化学循环中发挥重要作用,然而对它们不同生态亚群(即:高核酸(HNA)和低核酸(LNA)含量亚群)的丰度和代谢活性,以及它们的调控因素如何随着海洋环境条件的变化而变化,仍知之甚少.我们在117,000升的大体积培养体... 详细信息

原核生物在全球海洋生物地球化学循环中发挥重要作用,然而对它们不同生态亚群(即:高核酸(HNA)和低核酸(LNA)含量亚群)的丰度和代谢活性,以及它们的调控因素如何随着海洋环境条件的变化而变化,仍知之甚少.我们在117,000升的大体积培养体系中进行了73天的培养实验,深入研究HNA和LNA亚群对资源可利用性降低和原生动物选择性摄食随时间变化的动态响应.研究结果显示,当培养环境资源充足时, HNA亚群的代谢活性高于LNA亚群,但随着资源日益稀缺, HNA亚群代谢下降速度比LNA亚群快,从而使LNA亚群对原核生物活性的贡献稳步增加.与此同时,随着培养体系资源可利用性逐步降低,原生动物的摄食偏好从HNA亚群转向LNA亚群,使得LNA亚群对培养体系的碳流贡献增加.这些结果突显了LNA亚群在资源有限环境中的韧性,阐明了原生动物选择性摄食在资源条件变化时平衡不同亚群中的关键作用,并展示了在不同环境背景下原生动物和原核生物之间复杂的相互适应性.

关键词：微生物环大体积培养实验原核生物自上而下和自下而上调控作用碳流

Impact of wastewater treatment plant effluent discharge on the antibiotic resistome in downstream aquatic environments:a mini review

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Frontiers of Environmental Science & Engineering 2024年第3期18卷 131-141页

作者： Zhiguo Su Lyujun chen Donghui Wen School of Environment Tsinghua UniversityBeijng 100084China 2 Zhejiang Provincial Key Laboratory of Water Science and Technology Department of Environmental Technology and EcologyYangtze Delta Region Institute of Tsinghua UniversityJiaxing 314050China College of Environmental Sciences and Engineering Peking UniversityBeijing 100871China

Antimicrobial resistance(AmR)has emerged as a significant challenge in human *** treatment plants(WWTPs),acting as a link between human activities and the environment,create ideal conditions for the selection and spread of antibiotic resistance genes(ARGs)and antibioticresistant bacteria(ARb).Unfortunately,current treatment processes are ineffective in removing ARGs,resulting in the release of large quantities of ARb and ARGs into the aquatic environment through WWTP ***,in turn,leads to their dispersion and potential transmission to human through water and the food *** safeguard human and environmental health,it is crucial to comprehend the mechanisms by which WWTP effluent discharge influences the distribution and diffusion of ARGs in downstream *** this study,we examine the latest researches on the antibiotic resistome in various waterbodies that have been exposed to WWTP effluent,highlighting the key influencing ***,recommendations for future research and management strategies to control the dissemination of ARGs from WWTPs to the environment are provided,with the aim to achieve the“One Health”objective.

关键词： Antibiotic resistance genes(ARGs) Wastewater treatment plants(WWTPs) Effluent-receiving waterbodies Environmental risk Influencing mechanism

Quafu-RL:The cloud quantum computers based quantum reinforcement learning

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Chinese Physics b 2024年第5期33卷 29-34页

作者：靳羽欣许宏泽王正安庄伟峰黄凯旋时运豪马卫国李天铭陈驰通许凯冯玉龙刘培陈墨李尚书杨智鹏钱辰马运恒肖骁钱鹏顾炎武柴绪丹普亚南张翼鹏魏世杰曾进峰李行龙桂鲁金贻荣于海峰范桁刘东胡孟军 beijing Academy of Quantum Information Sciences Beijing 100193China State Key Laboratory of Low Dimensional Quantum Physics Department of PhysicsTsinghua UniversityBeijing 100084China Institute of Physics Chinese Academy of SciencesBeijing 100190China Frontier Science Center for Quantum Information Beijing 100184China School of Physical Sciences University of Chinese Academy of SciencesBeijing 100190China CAS Center for Excellence in Topological Quantum Computation University of Chinese Academy of SciencesBeijing 100190China School of mathematical Sciences Nankai UniversityTianjin 300071China

With the rapid advancement of quantum computing,hybrid quantum–classical machine learning has shown numerous potential applications at the current stage,with expectations of being achievable in the noisy intermediate-scale quantum(NISQ)*** reinforcement learning,as an indispensable study,has recently demonstrated its ability to solve standard benchmark environments with formally provable theoretical advantages over classical ***,despite the progress of quantum processors and the emergence of quantum computing clouds,implementing quantum reinforcement learning algorithms utilizing parameterized quantum circuits(PQCs)on NISQ devices remains *** this work,we take the first step towards executing benchmark quantum reinforcement problems on real devices equipped with at most 136 qubits on the bAQIS Quafu quantum computing *** experimental results demonstrate that the policy agents can successfully accomplish objectives under modified conditions in both the training and inference ***,we design hardware-efficient PQC architectures in the quantum model using a multi-objective evolutionary algorithm and develop a learning algorithm that is adaptable to quantum *** hope that the Quafu-RL can be a guiding example to show how to realize machine learning tasks by taking advantage of quantum computers on the quantum cloud platform.

关键词： quantum cloud platform quantum reinforcement learning evolutionary quantum architecture search

Prediction of sepsis within 24 hours at the triage stage in emergency departments using machine learning

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World journal of Emergency medicine 2024年第5期15卷 379-385页

作者： jingyuan Xie jiandong Gao mutian yang Ting Zhang yecheng liu yutong chen Zetong liu Qimin mei Zhimao Li Huadong Zhu ji Wu Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Center for big Data and Clinical Research Institute for Precision MedicineTsinghua UniversityBeijing 100084China Institute of medical Technology Peking University Health Science CenterBeijing 100091China Emergency Department State Key Laboratory of Complex Severe and Rare DiseasesPeking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijing 100005China Department of Health Care Peking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100005China

bACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing *** approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in medical Information mart for Intensive Care(mImIC-IV),a prediction system for the ED triage stage would be *** methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to fi nd a light-weight,convenient prediction method through machine ***:We accessed the mImIC-IV for sepsis patient data in the *** dataset comprised demographic information,vital signs,and synthetic *** Gradient boosting(XGboost)was used to predict the risk of developing sepsis within 24 h after ED ***,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's *** percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold ***:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±*** model achieved similar performance on the testing set of 1,662 *** values showed that the fi ve most important features were acuity,arrival transportation,age,shock index,and respiratory ***:machine learning models such as XGboost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage *** may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.

关键词： Sepsis machine learning Emergency department Triage Informatics

Coupling Losses and Discrimination of Annular Waveguide Laser Resonators

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Chinese journal of Lasers 1999年第2期8卷 14-20页

作者： WANG youqing HUANG Xintang chen Q. m. QIU j. L. xu Q. y. (National Lab. of Laser Technology, Huazhong university of Science and Technology, Wuhan 430074, china) 华中理工大学激光技术国家重点实验室湖北武汉 430074 华中理工大学激光技术国家重点实验室湖北武汉

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关键词： coupling loss annular waveguide laser toric mirror