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N-glycan biosignatures as a potential diagnostic biomarker for earlystage pancreatic cancer

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World Journal of Gastrointestinal Oncology 2024年第3期16卷 659-669页

作者： yan-rong Wen Xia-Wen Lin Yu-Wen Zhou Lei Xu Jun-Li Zhang Cui-Ying Chen Jian He Department of Nuclear Medicine Nanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing UniversityNanjing 210008Jiangsu ProvinceChina Department of Research and Development Sysdiagno(Nanjing)Biotech Co.LtdNanjing 210008Jiangsu ProvinceChina

BACKGROUND Pancreatic ductal adenocarcinoma(PDAC)has a poor prognosis,with a 5-year survival rate of less than 10%,owing to its late-stage diagnosis.Early detection of pancreatic cancer(PC)can significantly increase survival rates.AIM To identify the serum biomarker signatures associated with early-stage PDAC by serum N-glycan analysis.METHODS An extensive patient cohort was used to determine a biomarker signature,in-cluding patients with PDAC that was well-defined at an early stage(stages I and II).The biomarker signature was derived from a case-control study using a case-cohort design consisting of 29 patients with stage I,22 with stage II,4 with stage III,16 with stage IV PDAC,and 88 controls.We used multiparametric analysis to identify early-stage PDAC N-glycan signatures and developed an N-glycan sig-nature-based diagnosis model called the“Glyco-model”.RESULTS The biomarker signature was created to discriminate samples derived from patients with PC from those of controls,with a receiver operating characteristic area under the curve of 0.86.In addition,the biomarker signature combined with cancer antigen 19-9 could discriminate patients with PDAC from controls,with a receiver operating characteristic area under the curve of 0.919.Glyco-model demonstrated favorable diagnostic performance in all stages of PC.The diagnostic sensitivity for stage I PDAC was 89.66%.Core Tip:This study employed a patient cohort to investigate the N-glycan signature of early-stage pancreatic cancer(PC).Serum N-glycans analysis was conducted to identify the serum biomarker signature associated with early-stage pancreatic ductal adenocarcinoma(PDAC),resulting in the identification of nine early-stage PDAC N-glycan signatures.Subsequently,utilizing these biosignatures,a diagnostic model named the“Glyco-model”was developed,demonstrating promising diagnostic performance across all stages of PC.The study revealed that the diagnostic sensitivity for stage I PDAC was determined to be 89.66%.Consequently,this diagnostic model exhibits potent

关键词： Glycomics N-glycans Biomarkers Pancreatic cancer Predictive modeling

Intelligent learning model-based skill learning and strategy optimization in robot grinding and polishing

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Science China(Technological Sciences) 2022年第9期65卷 1957-1974页

作者： CHEN Chen WANG Yu GAO ZhiTao PENG FangYu TANG XiaoWei yan rong ZHANG YuKui School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China

With the rapid advancement of manufacturing in China,robot machining technology has become a popular research subject.An increasing number of robots are currently being used to perform complex tasks during manual operation,e.g.,the grinding of large components using multi-robot systems and robot teleoperation in dangerous environments,and machining conditions have evolved from a single open mode to a multisystem closed mode.Because the environment is constantly changing with multiple systems interacting with each other,traditional methods,such as mechanism modeling and programming are no longer applicable.Intelligent learning models,such as deep learning,transfer learning,reinforcement learning,and imitation learning,have been widely used;thus,skill learning and strategy optimization have become the focus of research on robot machining.Skill learning in robot machining can use robotic flexibility to learn skills under unknown working conditions,and machining strategy research can optimize processing quality under complex working conditions.Additionally,skill learning and strategy optimization combined with an intelligent learning model demonstrate excellent performance for data characteristics learning,multisystem transformation,and environment perception,thus compensating for the shortcomings of the traditional research field.This paper summarizes the state-of-the-art in skill learning and strategy optimization research from the perspectives of feature processing,skill learning,strategy,and model optimization of robot grinding and polishing,in which deep learning,transfer learning,reinforcement learning,and imitation learning models are integrated into skill learning and strategy optimization during robot grinding and polishing.Finally,this paper describes future development trends in skill learning and strategy optimization based on an intelligent learning model in the system knowledge transfer and nonstructural environment autonomous processing.

关键词： learning model robot grinding polishing feature processing skill learning strategy optimization

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尼达尼布致不良反应文献分析

中国新药杂志 2024年第3期33卷 307-312页

作者：陈喆秦艳叶岩荣复旦大学附属中山医院药剂科上海200032

目的:分析尼达尼布不良反应的发生规律与特点,为临床合理用药提供参考。方法:检索建库至2022年10月中国知网、维普数据库、万方数据库、Web of Science数据库与PubMed数据库中有关尼达尼布不良反应的文献并进行统计分析。结果:尼达尼布... 详细信息

目的:分析尼达尼布不良反应的发生规律与特点,为临床合理用药提供参考。方法:检索建库至2022年10月中国知网、维普数据库、万方数据库、Web of Science数据库与PubMed数据库中有关尼达尼布不良反应的文献并进行统计分析。结果:尼达尼布相关不良反应案例报道共19篇,涉及21例患者,其中年龄分布以60岁以上老年人较多(17例,80.95%),不良反应多发生在用药后30 d内(8例,38.10%),不良反应累及的系统-器官以胃肠道疾病占比最高(6例,28.57%)。3例停药后好转,9例停药并接受对症治疗后好转,4例停药并接受手术治疗后好转,4例未停药并接受对症治疗后好转,1例未停药并接受手术治疗后好转。结论:尼达尼布相关不良反应需引起临床高度警惕,要加强用药监测,在最大临床获益的同时将不良反应的危害降至最低。

关键词：尼达尼布药物不良反应文献分析

Bioactive polypeptide hydrogels modified with RGD and N-cadherin mimetic peptide promote chondrogenic differentiation of bone marrow mesenchymal stem cells

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Science China Chemistry 2020年第8期63卷 1100-1111页

作者： yan rong Zhen Zhang Chaoliang He Xuesi Chen Key Laboratory of Polymer Ecomaterials Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China University of Chinese Academy of Sciences Beijing 100039China University of Science and Technology of China Hefei 230026China

Cell-material and cell-cell interactions represent two crucial aspects of the regulation of cell behavior.In the present study,poly(L-glutamic acid)(PLG)hydrogels were prepared by catalyst-free click crosslinking via a strain-promoted azide-alkyne cycloaddition(SPAAC)reaction between azido-grafted PLG(PLG-N3)and azadibenzocyclooctyne-grafted PLG(PLG-ADIBO).The bioactive peptides c(RGDfK)and N-cadherin mimetic peptide(N-Cad)were both conjugated to the PLG hydrogel(denoted PLG+RGD/N-Cad)in order to regulate cell-material and cell-cell interactions.Gelation time and storage modulus of the hydrogels were tunable through variations in the concentration of polypeptide precursors.The hydrogels degraded gradually in the presence of proteinases.The viability of bone marrow mesenchymal stem cells(BMSCs)was maintained when cultured with extracts of the hydrogels or encapsulated within the hydrogels.Degradation was observed within 10 weeks following the subcutaneous injection of hydrogel solution in rats,displaying excellent histocompatibility in vivo.The introduction of RGD into the PLG hydrogel promoted the adhesion of BMSCs onto the hydrogels.Moreover,when encapsulated within the PLG+RGD/NCad hydrogel,BMSCs secreted cartilage-specific matrix,in addition to chondrogenic gene and protein expression being significantly enhanced in comparison with BMSCs encapsulated in hydrogels without N-Cad modification.These findings suggest that these biodegradable,bioactive polypeptide hydrogels have great potential for use in 3D cell culture and in cartilage tissue engineering.

关键词： polypeptide hydrogel click crosslinking biofunctionalization 3D cell culture tissue engineering

Magnesium cantharidate suppresses PP2A and ERK1/2 pathway to inhibit hepatocellular carcinoma cells

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Toxicology Advances 2024年第1期6卷 16-27页

作者： Ze Wang Yu-Xi Huang Tian-Mu He Xiang-Yu Tan Xiao-Fei Li Yun Liu rong yan School of Pharmacy Zunyi Medical UniversityZunyi 563000China School of Basic Medicine Zunyi Medical UniversityZunyi 563000China Guizhou Provincial College-based Key Lab for Tumor Prevention and Treatment with Distinctive Medicines Zunyi Medical UniversityZunyi 563000China

Background:Magnesium cantharidate(MC)is a protein phosphatase 2A(PP2A)inhibitor antitumor drug.However,its antitumor mechanism in hepatocellular carcinoma cell(HCC)remains unclear.Methods:PP2A lentiviral vector over expression strategy was utilized both in vivo and in vitro to explore the antitumor effect in MC and okadaic acid(OA).Tumor weight was detected in mice after MC and OA exposure.Cell proliferation,cell cycle,apoptosis rate,and western blotting were detected to explore the effects on MC and OA in human hepatocarcinoma SMMC-7721 cells.Results:In vivo results demonstrated that MC inhibited HCC progression while OA promoted tumor growth.In vitro results demonstrated that MC effectively inhibited the growth of SMMC-7721 cells by arresting the cell cycle at the G2/M phase with inhibiting Cdc25C and activating the phosphorylation of the Cdc2 protein.Flow cytometry results further showed that MC increased apoptosis.Furthermore,the expression of phosphorylated ERK1/2 was lower in the MC group but higher in the OA group.Molecular docking results showed that MC docked well with ERK1/2.Conclusions:MC inhibited HCC progression by suppressing the growth and activating the apoptosis of cancer cells and suppressing the expression of PP2A and ERK1/2.

关键词： magnesium cantharidate ERK1/2 HCC PP2A

A fast and versatile cross-linking strategy via o-phthalaldehyde condensation for mechanically strengthened and functional hydrogels

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National Science Review 2021年第4期8卷 114-124页

作者： Zhen Zhang Chaoliang He yan rong Hui Ren Tianran Wang Zheng Zou Xuesi Chen CAS Key Laboratory of Polymer Ecomaterials Changchun Institute of Applied ChemistryChinese Academy of Sciences University of Science and Technology of China University of Chinese Academy of Sciences

Fast and catalyst-free cross-linking strategy is of great significance for construction of covalently cross-linked hydrogels. Here, we report the condensation reaction between o-phthalaldehyde(OPA) and N-nucleophiles(primary amine, hydrazide and aminooxy) for hydrogel formation for the first time. When four-arm poly(ethylene glycol)(4 a PEG) capped with OPA was mixed with various N-nucleophile-terminated 4 aPEG as building blocks, hydrogels were formed with superfast gelation rate,higher mechanical strength and markedly lower critical gelation concentrations, compared to benzaldehyde-based counterparts. Small molecule model reactions indicate the key to these cross-links is the fast formation of heterocycle phthalimidine product or isoindole(bis)hemiaminal intermediates,depending on the N-nucleophiles. The second-order rate constant for the formation of phthalimidine linkage(4.3 M-1s-1) is over 3000 times and 200 times higher than those for acylhydrazone and oxime formation from benzaldehyde, respectively, and comparable to many cycloaddition click reactions. Based on the versatile OPA chemistry, various hydrogels can be readily prepared from naturally derived polysaccharides, proteins or synthetic polymers without complicated chemical modification. Moreover,biofunctionality is facilely imparted to the hydrogels by introducing amine-bearing peptides via the reaction between OPA and amino group.

关键词： superfast gelation o-phthalaldehyde chemistry versatile cross-linking functional hydrogel reaction kinetics

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堆叠式车载超级电容器热管理方式分析

储能科学与技术 2024年第2期13卷 483-491页

作者：唐盼春严嵘张灿孙泽国家盐湖资源综合利用工程技术研究中心上海200237 华东理工大学化工学院上海200237 国家车用超级电容器系统工程技术研究中心上海奥威科技开发有限公司上海201203 上海润通电动车技术有限公司上海201302 青海民族大学化学化工学院青海西宁810007

本研究使用COMSOL Multiphysics 6.0软件对堆叠式车载超级电容器建立了有限元模型,并且针对空冷和液冷两种不同的热管理方式分别建立了热模型以对比其热管理效果。首先,在相同的参数变化范围内,分别研究了空冷和液冷两种方式的超级电容... 详细信息

本研究使用COMSOL Multiphysics 6.0软件对堆叠式车载超级电容器建立了有限元模型,并且针对空冷和液冷两种不同的热管理方式分别建立了热模型以对比其热管理效果。首先,在相同的参数变化范围内,分别研究了空冷和液冷两种方式的超级电容器的最高温度与换热介质的初始温度、在入口处的流速以及超级电容器模组的发热功率之间的关系。结果表明,换热介质的初始温度越高,超级电容器的发热功率越大,则超级电容器的最高温度越高,而换热介质在入口处的平均流速越大,则超级电容器的最高温度越低,且存在一个临界流速1.5m/s,超过该临界值之后,二者的相关性将大大减弱。此外,基于参数化研究结果,设定相同的操作参数,深入分析了这两种热管理方式的换热过程,解释了本研究中空冷和液冷在高度方向上温度梯度方向相反的现象,并从最高温度与温差、温度分布和换热时间三个方面对比了二者的热管理效果。结果表明,液冷超级电容器的最高温度更低,温差很小,温度分布十分均匀,且换热时间远少于空冷超级电容器,热管理效果更好。

关键词：堆叠式超级电容器热管理热模型空冷液冷热流耦合

Anisotropic Force Ellipsoid Based Multi-axis Motion Optimization of Machine Tools

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Chinese Journal of Mechanical Engineering 2012年第5期25卷 960-967页

作者： PENG Fangyu yan rong CHEN Wei yanG Jianzhong LI Bin State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan 430074 China National NC System Engineering Research Center Huazhong University of Science and Technology Wuhan 430074 China

The existing research of the motion optimization of multi-axis machine tools is mainly based on geometric and kinematic constraints, which aim at obtaining minimum-time trajectories and finding obstacle-free paths. In motion optimization, the stiffness characteristics of the whole machining system, including machine tool and cutter, are not considered. The paper presents a new method to establish a general stiffness model of multi-axis machining system. An analytical stiffness model is established by Jacobi and point transformation matrix method. Based on the stiffness model, feed-direction stiffness index is calculated by the intersection of force ellipsoid and the cutting feed direction at the cutter tip. The stiffness index can help analyze the stiffness performance of the whole machining system in the available workspace. Based on the analysis of the stiffness performance, multi-axis motion optimization along tool paths is accomplished by mixed programming using Matlab and Visual C＋＋. The effectiveness of the motion optimization method is verified by the experimental research about the machining performance of a 7-axis 5-linkage machine tool. The proposed research showed that machining stability and production efficiency can be improved by multi-axis motion optimization based on the anisotropic force ellipsoid of the whole machining system.

关键词： stiffness force ellipsoid multi-axis motion optimization

目的刑论视角下“老字号”商标保护的司法路径探究

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西部学刊 2024年第14期 73-77页

作者：严蓉昆明理工大学津桥学院昆明650106

老字号作为企业对外展示自身品牌独特性的重要名片,有着文化与经济等多重价值。然而老字号在市场经济活动中常常面临商标权违法甚至犯罪行为的侵犯。商标作为企业的核心标识,承载着企业的商业信誉,诸多老字号企业将“老字号”注册为商标... 详细信息

老字号作为企业对外展示自身品牌独特性的重要名片,有着文化与经济等多重价值。然而老字号在市场经济活动中常常面临商标权违法甚至犯罪行为的侵犯。商标作为企业的核心标识,承载着企业的商业信誉,诸多老字号企业将“老字号”注册为商标,让消费者能有效辨识与其他品牌的差异。目的刑论提出刑罚的目的是为了预防犯罪,司法机关应坚持老字号商标侵权认定混淆性标准,加强老字号商标保护行政与刑事司法衔接,以遏制商标侵权并有效保护老字号。

关键词：老字号目的刑论商标混淆司法保护