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APOE interacts with ACE2 inhibitingg SARS-CoV-2 cellular entry and inflammation in COVID-19 patients

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Signal Transduction and Targeted Therapy 2022年第9期7卷 3459-3467页

作者： Hongsheng Zhang Lin Shao Zhihao Lin quan-xin long Huilong Yuan Lujian Cai Guangtong Jiang Xiaoyi Guo Renzhi Yang Zepeng Zhang Bingchang Zhang Fan Liu Zhiyong Li Qilin Ma Yun-Wu Zhang Ai-long Huang Zhanxiang Wang Yingjun Zhao Huaxi Xu Center for Brain Sciences the First Aliated Hospital of Xiamen UniversityInstitute of NeuroscienceFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging ResearchXiamen UniversityXiamenChina Institute for Brain Science and Disease Chongqing Medical UniversityChongqingChina school of Medicine Xiamen UniversityXiamenChina Key Laboratory of Molecular Biology for Infectius Diseases(Minstry of Educatio) Chongqing Medical UniversityChongqingChina

Apolipoprotein E(APOE)plays a pivotal role in lipid including cholesterol *** APOE 4(APOE4)allele is a major genetic risk factor for Alzheimer's and cardiovascular *** APOE has recently been associated with increased susceptibility to infections of several viruses,whether and how APOEand its isoforms affect SARS-CoV-2 infection remains ***,we show that serum concentrations of APOE correlate inversely with levels of cytokine/chemokine in 73 COVID-19 *** multiple protein interaction assays,we demonstrate that APOE3 and APOE4 interact with the SARS-CoV-2 receptor ACE2;and APOE/ACE2 interactions require zinc metallopeptidase domain of ACE2,a key docking site for SARS-CoV-2 Spike *** addition,immuno-imaging assays using confocal,super-resolution,and transmission electron microscopies reveal that both APOE3 and APOE4 reduce ACE2/Spikemediated viral entry into ***,while having a comparable binding affinity to ACE2,APOE4 inhibits viral entry to a lesser extent compared to APOE3,which is likely due to APOE4's more compact structure and smaller spatial obstacle to compete against Spike binding to ***,APOE e4 carriers clinically correlate with increased SARS-CoV-2 infection and elevated serum inflammatory factors in 142 COVID-19 patients *** study suggests a regulatory mechanism underlying SARS-CoV-2 infection through APOE interactions with ACE2,which may explain in part increased COVID-19 infection and disease severity in APOE e4 carriers.

关键词： ACE2 patients inflammation

Positive effect of Mo on mechanical properties of a Ni-42W-10Co-xMo medium heavy alloy

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China Foundry 2025年第1期22卷 108-116页

作者： Guo-xin Cao Jian-xin Dong Yong-sheng He He Jiang Fang Hao Zhi-hua Nie Teng-fei Ma Bao-quan Fu School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China Xi'an Superalloy Technology Co. Ltd.Xi’an 710299China School of Materials Science and Engineering Beijing Institute of TechnologyBeijing 100081China Key Laboratory of Air-driven Equipment Technology of Zhejiang Province Quzhou UniversityQuzhou 324000ZhejiangChina

In this study,a novel Ni-W-Co-Mo medium heavy alloy(MHA)was designed to improve its mechanical strength via Mo *** the Ni-42W-10Co-x Mo alloy series,where x represents the weight percent of Mo and varies between 0,1,2,5,and 10,the microstructure transitions from a dendritic structure to a hypo-eutectic structure as the Mo content increases from 0 to 5wt.%.Moreover,as the Mo content increases from 0 to 10wt.%,the distribution of theμ-phase shifts from being individually dispersed to forming aggregates,and its volume fraction rises from 0.5%to 7.9%.Notably,theμ-phase evolves into an eutectic microstructure,which helps in minimizing the segregation of *** change is accompanied by a substantial enhancement in mechanical properties;specifically,the compressive yield strength at room temperature increases from 350 MPa to 646 MPa,indicating a significant 85%***,the microhardness increases from 230 HV to 304 *** dynamics simulations further reveal that the strengthening mechanism of Ni-42W-10Co-x Mo alloys is Mo-induced solid solution strengthening and precipitation strengthening.

关键词： medium-heavy alloys Ni-based alloy mechanical properties solid solution strengthening precipitation strengthening

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DI-YOLOv5:An Improved Dual-Wavelet-Based YOLOv5 for Dense Small Object Detection

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 457-459页

作者： Zi-xin Li Yu-long Wang Fei Wang the Shanghai Key Laboratory of Power Station Automation Technology Shanghai University the School of Mechatronic Engineering and Automation Shanghai University IEEE the TAIHU Laboratory of Deepsea Technological Science China Ship Scientific Research Center

Dear Editor,This letter focuses on the fact that small objects with few pixels disappear in feature maps with large receptive fields, as the network deepens, in object detection tasks. Therefore, the detection of dens...

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The clinical and immunological features of pediatric COVID-19 patients in China

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Genes & Diseases 2020年第4期7卷 535-541页

作者： Juan Chen Zhen-Zhen Zhang Yao-Kai Chen quan-xin long Wen-Guang Tian Hai-Jun Deng Jie-Li Hu Xian-Xiang Zhang Pu-Liao Jiang-Lin Xiang Dao-xin Wang Peng Hu Fa-Chun Zhou Zhi-Jie Li Hong-Mei Xu Xue-Fei Cai De-Qiang Wang Yuan Hu Ni Tang Bei-Zhong Liu Gui-Cheng Wu Ai-long Huang The Key Laboratory of Molecular Biology of Infectious Diseases Designated By the Chinese Ministry of Education Department of Infectious DiseasesThe Second Affiliated HospitalChongqing Medical UniversityChongqingChina Department of Infectious Diseases National Clinical Research Center for Child Health and DisordersThe Children’s Hospital of Chongqing Medical UniversityChongqingChina Division of Infectious Diseases Chonqging Public Health Medical CenterChongqingChina Department of Infectious Diseases Yongchuan Hospital Affiliated to Chongqing Medical UniversityChongqingChina Department of Endocrinology Chongqing Three Gorges Central HospitalChongqingChina Department of Clinical Laboratory Chongqing People’s HospitalChongqingChina Department of Infectious Diseases Chongqing Three Gorges Central HospitalChongqingChina Department of Respiration The First Affiliated HospitalChongqing Medical UniversityChongqingChina Department of Emergency The First Affiliated HospitalChongqing Medical UniversityChongqingChina Department of Clinical Laboratory Yongchuan Hospital Affiliated to Chongqing Medical UniversityChongqingChina Department of Liver Disease Chongqing Three Gorges Central HospitalChongqingChina

In December 2019,the corona virus disease 2019(COVID-19)caused by novel coronavirus(SARS-CoV-2)emerged in Wuhan,China and rapidly spread *** information on clinical features and immunological profile of COVID-19 in *** clinical features and treatment outcomes of twelve paediatric patients confirmed as COVID-19 were *** immunological features of children patients was investigated and compared with twenty adult *** median age was 14.5-years(range from 0.64 to 17),and six of the patients were *** average incubation period was 8 ***,cough(9/12,75%)and fever(7/12,58.3%)were the most common *** patients(33.3%)had diarrhea during the *** to the immune profile,children had higher amount of total T cell,CD8t T cell and B cell but lower CRP levels than adults(Plonger incubation *** infected with SARS-CoV-2 had different immune profile with higher T cell amount and low inflammatory factors level,which might ascribed to the mild clinical *** advise that nucleic acid test or examination of serum IgM/IgG antibodies against SARS-CoV-2 should be taken for children with exposure history regardless of clinical symptom.

关键词： Clinical features COVID-19 Immune Paediatrics SARS-CoV-2

Persistent luminescence encoding for rapid and accurate oral-derived bacteria identification

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Chinese Chemical Letters 2025年第1期36卷 459-463页

作者： Chaohui Zheng Jing Xi Shiyi long Tianpei He Rui Zhao xinyuan Luo Na Chen quan Yuan The Second Affiliated Hospital of Fujian Medical University Quanzhou 362000China Renmin Hospital of Wuhan University College of Chemistry and Molecular SciencesInstitute of Molecular MedicineSchool of MicroelectronicsWuhan UniversityWuhan 430072China Molecular Science and Biomedicine Laboratory(MBL) State Key Laboratory of Chemo/Biosensing and Chemometrics College of Chemistry and Chemical EngineeringHunan UniversityChangsha 410082China

The dysbiosis of oral microbiota contributes to diseases such as periodontitis and certain cancers by triggering the host inflammatory *** methods for the immediate and sensitive identification of oral microorganism is crucial for the rapid diagnosis and early interventions of associated *** methods for microbial detection primarily include the plate culturing,polymerase chain reaction and enzyme-linked immunosorbent assay,which are either time-consuming or ***,we reported a persistent luminescence-encoded multiple-channel optical sensing array and achieved the rapid and accurate identification of oral-derived *** results demonstrate that electrostatic attractions and hydrophobic-hydrophobic interactions dominate the binding of the persistent luminescent nanoprobes to oral microorganisms and the microbial identification process can be finished within 30 ***,a total of 7 oral-derived microorganisms demonstrate their own response patterns and were differentiated by linear discriminant analysis(LDA)with the accuracy up to 100%both in the solution and artificial saliva ***,the persistent luminescence encoded array sensor could also discern the microorganism mixtures with the accuracy up to 100%.The proposed persistent luminescence encoding sensor arrays in this work might offer new ideas for rapid and accurate oralderived microorganism detection,and provide new ways for disease diagnosis associated with microbial metabolism.

关键词： Oral microorganisms Persistent luminescent nanoprobes Optical sensing array Fingerprint physicochemical properties Linear discriminant analysis

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Machine learning-assisted fluorescence visualization for sequential quantitative detection of aluminum and fluoride ions

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Journal of Environmental Sciences 2025年第3期149卷 68-78页

作者： Qiang Zhang xin Li long Yu Lingxiao Wang Zhiqing Wen Pengchen Su Zhenli Sun Suhua Wang School of Environmental Science and Engineering Guangdong University of Petrochemical TechnologyMaoming 525000China MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China

The presence of aluminum(Al^(3+))and fluoride(F^(−))ions in the environment can be harmful to ecosystems and human health,highlighting the need for accurate and efficient *** this paper,an innovative approach is presented that leverages the power of machine learning to enhance the accuracy and efficiency of fluorescence-based detection for sequential quantitative analysis of aluminum(Al^(3+))and fluoride(F^(−))ions in aqueous *** proposed method involves the synthesis of sulfur-functionalized carbon dots(C-dots)as fluorescence probes,with fluorescence enhancement upon interaction with Al^(3+)ions,achieving a detection limit of 4.2 nmol/***,in the presence of F^(−)ions,fluorescence is quenched,with a detection limit of 47.6 nmol/*** fingerprints of fluorescence images are extracted using a cross-platform computer vision library in Python,followed by data ***,the fingerprint data is subjected to cluster analysis using the K-means model from machine learning,and the average Silhouette Coefficient indicates excellent model ***,a regression analysis based on the principal component analysis method is employed to achieve more precise quantitative analysis of aluminum and fluoride *** results demonstrate that the developed model excels in terms of accuracy and *** groundbreaking model not only showcases exceptional performance but also addresses the urgent need for effective environmental monitoring and risk assessment,making it a valuable tool for safeguarding our ecosystems and public health.

关键词： Machine learning Aluminum ion detection Fluorine ion detection Fluorescence probe K-means model

Development and application of an intelligent thermal state monitoring system for sintering machine tails based on CNN-LSTM hybrid neural networks

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Journal of Iron and Steel Research International 2025年第1期32卷 52-63页

作者： Da-lin Xiong xin-yu Zhang Zheng-wei Yu Xue-feng Zhang Hong-ming long Liang-jun Chen Anhui Province Key Laboratory of Metallurgical Engineering&Resources Recycling Anhui University of TechnologyMa’anshan243002AnhuiChina School of Metallurgical Engineering Anhui University of TechnologyMa’anshan243032AnhuiChina School of Computer Science Anhui University of TechnologyMa’anshan243032AnhuiChina

Real-time prediction and precise control of sinter quality are pivotal for energy saving,cost reduction,quality improvement and efficiency enhancement in the ironmaking *** advance,the accuracy and comprehensiveness of sinter quality prediction,an intelligent flare monitoring system for sintering machine tails that combines hybrid neural networks integrating convolutional neural network with long short-term memory(CNN-LSTM)networks was *** system utilized a high-temperature thermal imager for image acquisition at the sintering machine tail and employed a zone-triggered method to accurately capture dynamic feature images under challenging conditions of high-temperature,high dust,and *** feature images were then segmented through a triple-iteration multi-thresholding approach based on the maximum between-class variance method to minimize detail loss during the segmentation *** the advantages of CNN and LSTM networks in capturing temporal and spatial information,a comprehensive model for sinter quality prediction was constructed,with inputs including the proportion of combustion layer,porosity rate,temperature distribution,and image features obtained from the convolutional neural network,and outputs comprising quality indicators such as underburning index,uniformity index,and FeO content of the *** accuracy is notably increased,achieving a 95.8%hit rate within an error margin of±*** the system is applied,the average qualified rate of FeO content increases from 87.24%to 89.99%,representing an improvement of 2.75%.The average monthly solid fuel consumption is reduced from 49.75 to 46.44 kg/t,leading to a 6.65%reduction and underscoring significant energy saving and cost reduction effects.

关键词： Sinter quality Convolutional neural network long short-term memory Image segmentation FeO prediction

Gold-catalyzed intermolecular amination of allyl azides with ynamides: Efficient construction of 3-azabicyclo[3.1.0] scaffold

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Chinese Chemical Letters 2025年第2期36卷 384-388页

作者： Chong-Yang Shi Jian-xing Gong Zhen Li Chao Shu long-Wu Ye Qing Sun Bo Zhou xin-Qi Zhu College of Chemistry and Chemical Engineering Yunnan Normal University Key Laboratory of Chemical Biology of Fujian Province State Key Laboratory of Physical Chemistry of Solid Surfacesand College of Chemistry and Chemical EngineeringXiamen University State Key Laboratory of Organometallic Chemistry Shanghai Institute of Organic ChemistryChinese Academy of Sciences Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle Nanchang Hangkong University

Gold-catalyzed amination reactions based on azides via α-imino gold carbene intermediates have attracted extensive attention in the past decades because this methodology leads to the facile and efficient construction of synthetically useful N-containing molecules, especially valuable N-heterocycles. However,successful examples of intermolecular generation of α-imino gold carbenes by using azides as amination reagents are rarely explored probably due to the weak nucleophilicity of azides. Herein, we disclose an efficient gold-catalyzed intermolecular aminative cyclopropanation of ynamides with the allyl azides, enabling flexible synthesis of a wide range of valuable 3-azabicyclo[3.1.0]hex–2-ene derivatives in good to excellent yields with excellent diastereoselectivities. Importantly, this protocol represents the first use of allyl azide as an efficient amination reagent in gold-catalyzed alkyne amination reactions.

关键词： Alkynes Amination Azides Gold Heterocycles

High-temperature oxidation behavior and degradation mechanism of chromium-coated zirconium alloy cladding: a review

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Tungsten 2025年第1期7卷 50-70页

作者： Yi Li Bei-Qi Wang xin-Yin Zhang Shi-Jie Wang Cong-Yi Li Hui-long Yang Ran-Ran Su Tong Liu School of Mechanical Engineering Shanghai Jiao Tong University College and Graduate School of Arts and Sciences University of Virginia Global Institute of Future Technology Shanghai Jiao Tong University

Accident-tolerant fuels(ATF) have been extensively studied to reduce the production rate and total amount of heat and hydrogen generated from high-temperature steam oxidation during severe ***-coated zirconium alloy cladding has become one of the most promising candidates for ATF because of its excellent corrosion and oxidation *** paper provides a comprehensive overview of the research progress on oxidation behaviors and degradation mechanisms in chromium-coated zirconium alloy cladding under high-temperature *** techniques to strengthen the oxidation resistance are highlighted and ***,challenges and opportunities for various future directions are addressed.

关键词： Accident-tolerant fuel Chromium coating Degradation mechanism High-temperature oxidation behavior Zirconium alloy cladding