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NIR-Ⅱ responsive Janus nanoparticles amplify immunogenic cell death for enhanced cancer immunotherapy

Science China(Technological Sciences) 2024年第1期67卷 321-329页

作者： CHEN BeiBei guo kangli WANG HaoRan XU Fu-Jian WANG JuLin ZHAO NaNa State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical TechnologyBeijing 100029China Key Laboratory of Biomedical Materials of Natural Macromolecules(Beijing University of Chemical Technology) Beijing Laboratory of Biomedical MaterialsBeijing University of Chemical TechnologyBeijing 100029China College of Materials Sciences and Engineering Beijing University of Chemical TechnologyBeijing 100029China Beijing Key Laboratory of Electrochemical Process and Technology for Materials Beijing University of Chemical TechnologyBeijing 100029China

Immunotherapy brings new hope for tumor treatment by inducing immunogenic cell death(ICD)of tumor cells.However,insufficient immunogenicity and low immune response rate greatly limit antitumor immunity.Herein,by optimizing the composition and morphology,the rational design of Janus nanoparticles composed of Fe_(3)O_(4) nanospheres and SiO_(2)nanorods was realized for enhanced cancer immunotherapy through amplified ICD.After glucose oxidase(GOx)was loaded by the Janus nanoparticles,the resultant M-FS-GOx consumes glucose at tumor sites to generate gluconic acid and hydrogen peroxide(H_(2)O_(2))for starvation therapy while the H_(2)O_(2)supply promotes the production of highly toxic·OH to achieve effective chemodynamic therapy(CDT).Under a 1064 nm light irradiation,the photothermal effect of M-FS-GOx enhances the enzyme activity of GOx for improved starvation therapy.Furthermore,both tumor-associated antigens released during the process of ICD and the intrinsic immunoadjuvant property of M-FS-GOx stimulate dendritic cell maturation to activate antitumor immune responses.This work provides a promising strategy for the construction of Janus nanoparticles to achieve enhanced cancer immunotherapy through combination therapy-amplified ICD.

关键词： Janus nanoparticles immunogenic cell death cancer immunotherapy

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NIR-II responsive Janus nanoparticles amplify immunogenic cell death for enhanced cancer immunotherapy

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Science China Technological Sciences 2023年

作者： CHEN BeiBei guo kangli WANG HaoRan XU FuJian WANG JuLin ZHAO NaNa Beijing Key Laboratory of Electrochemical Process and Technology for Materials Beijing University of Chemical Technology College of Materials Sciences and Engineering Beijing University of Chemical Technology State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical Technology Key Laboratory of Biomedical Materials of Natural Macromolecules (Beijing University of Chemical Technology) Beijing Laboratory of Biomedical Materials Beijing University of Chemical Technology

Immunotherapy brings new hope for tumor treatment by inducing immunogenic cell death(ICD) of tumor cells. However,insufficient immunogenicity and low immune response rate greatly limit antitumor immunity. Herein, by optimizing the composition and morphology, the rational design of Janus nanoparticles composed of Fe3O4nanospheres and SiO2nanorods was realized for enhanced cancer immunotherapy through amplified ICD. After glucose oxidase(GOx) was loaded by the Janus nanoparticles, the resultant M-FS-GOx consumes glucose at tumor sites to generate gluconic acid and hydrogen peroxide(H2O2)for starvation therapy while the H2O2supply promotes the production of highly toxic ·OH to achieve effective chemodynamic therapy(CDT). Under a 1064 nm light irradiation, the photothermal effect of M-FS-GOx enhances the enzyme activity of GOx for improved starvation therapy. Furthermore, both tumor-associated antigens released during the process of ICD and the intrinsic immunoadjuvant property of M-FS-GOx stimulate dendritic cell maturation to activate antitumor immune responses.This work provides a promising strategy for the construction of Janus nanoparticles to achieve enhanced cancer immunotherapy through combination therapy-amplified ICD.

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Effect of Temperature on the Release of Transparent Exopolymer Particles(TEP)and Aggregation by Marine Diatoms(Thalassiosira weissflogii and Skeletonema marinoi)

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Journal of Ocean University of China 2021年第1期20卷 56-66页

作者： CHEN Jie guo kangli Daniel COThornton WU Yi Fourth Institute of Oceanography Ministry of Natural ResourcesBeihai 536007China Department of Oceanography Texas A&M UniversityCollege StationTexas 77843USA

The presence of diatoms is accompanied by the production of a large amount of extracellular polymeric substances,which are mainly composed of carbohydrates.Transparent exopolymer particles(TEP)are a large class of extracellular polymeric substances with high stickiness that promotes the formation of aggregates and marine snow,which affects marine bio-carbon pump efficiency.The purpose of this research was to determine how temperature increases affect the allocation of cellular carbohydrates and the formation and aggregation of TEP.The results showed that the responses of two different diatom species(Thalassiosira weissflogii and Skeletonema marinoi)differed according to temperature.The cell density and chlorophyll a concentration of the former were not significantly correlated with temperature,while those of the latter were significantly decreased with increasing temperature.This indicates that the two species of diatom may have different heat tolerance ranges.A temperature increase will promote significant formation of TEP by both types of diatoms,including aggregation of S.marinoi as the temperature rises,meaning that the high temperature will produce an aggregate with a larger particle size and thus may increase the sedimentation rate of organic carbon.Moreover,the TEP aggregation of T.weissflogii did not increase;therefore,its particle size was smaller,and so it may remain on the sea surface at high temperatures for longer periods.These influences have a profound impact on the biogeochemical cycling of carbon.

关键词： transparent exopolymer particles diatom Thalassiosira weissflogii Skeletonema marinoi aggregation

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深度学习技术对胃肠道间质瘤与平滑肌瘤超声内镜图像的鉴别诊断价值

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中华消化内镜杂志 2024年第6期41卷 449-454页

作者：郭康丽朱建伟黄张浩刘纯平胡端敏湖北文理学院附属医院、襄阳市中心医院消化二科襄阳441021 苏州大学附属第二医院消化内科苏州215004 苏州大学计算机科学与技术学院苏州215006

目的尝试构建基于深度学习技术的胃肠道间质瘤(gastrointestinal stromal tumors,GISTs)与平滑肌瘤(leiomyomas,LM)超声内镜图像分类模型,并验证其鉴别诊断价值。方法回顾性纳入2014年10月至2021年10月在苏州大学附属第二医院接受超声... 详细信息

目的尝试构建基于深度学习技术的胃肠道间质瘤(gastrointestinal stromal tumors,GISTs)与平滑肌瘤(leiomyomas,LM)超声内镜图像分类模型,并验证其鉴别诊断价值。方法回顾性纳入2014年10月至2021年10月在苏州大学附属第二医院接受超声内镜检查且经外科手术或内镜下切除后病理确诊的69例GISTs和73例LM病例,每例病例选取1张清晰且有典型病变的超声内镜图片,利用留出法将每种疾病图片按训练集图片数比验证集图片数为8∶2的比例分入训练集和验证集,最终由113张(55张GISTs和58张LM)超声内镜图片组成训练集,由29张(14张GISTs和15张LM)超声内镜图片组成验证集,训练集用于对深度学习模型进行训练与优化,验证集用于对分类模型进行验证,主要观察指标包括鉴别诊断的灵敏度、特异度、阳性预测值、阴性预测值和准确率。结果利用Resnet 34网络结构建立的分类模型对GISTs与LM进行鉴别诊断的准确率趋于0.89,较Resnet 50网络结构建立的分类模型(0.81)的分类性能更佳。基于Resnet 34网络结构构建的分类模型对验证集中超声内镜图片进行鉴别诊断的灵敏度、特异度、阳性预测值、阴性预测值和准确率分别为85.71%(12/14)(95%CI:67.38%~100.00%)、93.33%(14/15)(95%CI:80.71%~100.00%)、92.31%(12/13)(95%CI:77.82%~100.00%)、87.50%(14/16)(95%CI:71.30%~100.00%)和89.66%(26/29)(95%CI:78.57%~100.00%)。结论深度学习技术用于GISTs与LM超声内镜图像的鉴别诊断是可行的,可为临床医师对两者的鉴别提供辅助诊断意见。基于Resnet 34网络结构建立的深度学习模型对GISTs与LM超声内镜图像进行鉴别诊断的准确性较高。

关键词：人工智能深度学习超声内镜检查术胃肠道间质瘤平滑肌瘤

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基于超声内镜影像组学和机器学习的胃肠道间质瘤与非胃肠道间质瘤鉴别方法

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海军军医大学学报 2024年第1期45卷 21-28页

作者：王卓然张贤达曹羽成张玲龚婷婷马烨波段晓倩郭康丽李军陈媛张健涛叶本功丁进朱建伟刘枫胡端敏周春华邹多武李庆利陈建刚华东师范大学上海市多维度信息处理重点实验室上海200241 上海交通大学医学院附属瑞金医院消化内科上海200025 苏州大学附属第二医院消化内科苏州215004 同济大学附属上海市第十人民医院消化内镜中心上海200072 浙江大学医学院附属金华医院消化内科金华321000 安康市汉滨区第一医院消化内科安康725000 上海中医药大学中医智能康复教育部工程研究中心上海201203

目的建立并验证基于超声内镜影像组学和机器学习的胃肠道间质瘤与非胃肠道间质瘤的鉴别方法。方法纳入符合标准的患者435例,采集胃肠道间质瘤(257例)与非胃肠道间质瘤(包括胃平滑肌瘤145例、神经鞘瘤33例)超声内镜图像共3279张,按患者比... 详细信息

目的建立并验证基于超声内镜影像组学和机器学习的胃肠道间质瘤与非胃肠道间质瘤的鉴别方法。方法纳入符合标准的患者435例,采集胃肠道间质瘤(257例)与非胃肠道间质瘤(包括胃平滑肌瘤145例、神经鞘瘤33例)超声内镜图像共3279张,按患者比7∶3分为训练集和测试集。采用Pyradiomics软件提取肿瘤影像组学特征,并应用主成分分析(PCA)、最小绝对收缩和选择算子(LASSO)、极致梯度提升树(XGBoost)、随机森林、递归式特征消除(RFE)算法设计特征筛选方案,基于所选特征通过支持向量机分类器建立模型。通过ROC曲线评估各模型对胃肠道间质瘤与非胃肠道间质瘤的预测效能。结果由最终筛选得到的超声内镜影像组学特征建立影像组学模型,基于5种特征筛选方案(PCA、PCA+LASSO、PCA+XGBoost、PCA+随机森林、PCA+RFE)建立的预测模型的AUC分别为0.581、0.870、0.874、0.860、0.661。结论PCA+XGBoost的特征筛选方案效果最佳,基于上述影像组学和机器学习方法鉴别胃肠道间质瘤与非胃肠道间质瘤的模型可用于患者的术前预测。

关键词：胃肠道间质瘤超声内镜影像组学机器学习主成分分析极致梯度提升树

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Innovations in metallurgical and materials processes:advancing liquid theory and honoring Prof.Han-jie guo's contributions to physical chemistry in metallurgy

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Journal of Iron and Steel Research(International) 2024年第1期31卷 1-2页

作者： Shuai Liu Jing guo Han-jie guo School of Artificial Intelligence Beijing Technology and Business UniversityBeijing100048China School of Metallurgical and Ecological Engineering University of Science and Technology Beijing(USTB)Beijing100083China

Spanning three decades,Prof.Han-jie guo's research group has dedicated itself to exploring the fundamental theories and practical applications of physical chemistry within the realm of metallurgy.Operating under the a... 详细信息

关键词： chemistry liquid complexes

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Aptamer-Based Cell-Surface Profiling with Single-Cell Resolution Enables Precise Cancer Characterization

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CCS Chemistry 2024年第1期6卷 196-207页

作者： Liujun Xu Yawei Feng Tong Wang Shenhuan Li kangli Xu Yue Sun Yi Luo Yishan Ye Yan Miao Yun Dong Zhenzhen guo Qing Zhang Benshang Li He Huang Xue-Qiang Wang Liping Qiu Weihong Tan Molecular Science and Biomedicine Laboratory State Key Laboratory of Chemo/Biosensing and ChemometricsCollege of Chemistry and Chemical EngineeringCollege of BiologyAptamer Engineering Center of Hunan ProvinceHunan UniversityChangshaHunan 410082 The Key Laboratory of Zhejiang Province for Aptamers and Theranostics Zhejiang Cancer HospitalHangzhou Institute of MedicineChinese Academy of SciencesHangzhouZhejiang 310022 Institute of Molecular Medicine Renji HospitalShanghai Jiao Tong University School of MedicineCollege of Chemistry and Chemical EngineeringShanghai Jiao Tong UniversityShanghai 200240 Bone Marrow Transplantation Center The First Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhou 310003 Institute of Hematology Zhejiang UniversityHangzhou 310003 Department of Hematology and Oncology Shanghai Children’s Medical CenterShanghai Jiao Tong University School of MedicineShanghai Jiao Tong UniversityShanghai 200127

Molecular profiling of cell-surface proteins is a powerful strategy for precise cancer diagnosis.While mass cytometry(MC)enables synchronous detection of over 40 cellular parameters,its full potential in disease classification is challenged by the limited types of recognition probes currently available.In this work,we synthesize a panel of heavy isotopeconjugated aptamers to profile cancer-associated signatures on the surface of hematological malignancy(HM)cells.Based on 15 molecular signatures,we performed cell-surface profiling that allowed the precise classification of 8 HM cell lines.Combined with machine-learning technology,this aptamer-based MC platform also achieved multiclass identification of HM subtypes in clinical sampleswith 100%accuracy in the training cohort and 80%accuracy in the test cohort.Therefore,we report an effective and practical strategy for precise cancer classification at the singlecell level,paving the way for its clinical use in the near future.

关键词： molecular profiling cancer diagnosis mass cytometry aptamers machine learning

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Light People:Prof.Eric Mazur speaks about ultrafast optics and education

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Light(Science & Applications) 2024年第3期13卷 402-406页

作者： Chenzi guo Yang Li Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of SciencesChangchunChina State Key Laboratory of Precision Measurement Technology and Instrument Department of Precision InstrumentTsinghua UniversityBeijingChina

Prof.Eric Mazur is a great influencer over and beyond the optics community.As a physicist,he is a pioneer of ultrafast optics and was one of the inventors of colliding-pulse mode-locked laser.As an educator,he not only gave talks to thousands,but also revolutionized teaching with his globally renowned methodology“Peer Instruction”.As a leader and entrepreneur,he co-founded several companies and was President of Optica(formerly the Optical Society)and currently is the Chair of the Optica Foundation.Here,Light:Science&Applications talked with Prof.Eric Mazur about his opinions on research,education and industry.The full interview video can be found in the Supplementary File.

关键词： optics education companies

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Emerging direct current triboelectric nanogenerator for high-entropy mechanical energy harvesting

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Science China(Technological Sciences) 2024年第5期67卷 1297-1316页

作者： CHEN Jie guo RuiLong guo HengYu College of Physics and Electronic Engineering Chongqing Normal UniversityChongqing 401331China Department of Applied Physics Chongqing UniversityChongqing 401331China

In the era of the Internet of Things(IoT),the provision of sustainable power to distributed,mobile,and low-power-consumption electronic devices is a critical challenge.To overcome this challenge,the triboelectric nanogenerator(TENG),a highly efficient high-entropy mechanical energy harvesting device,was developed in 2012.This device enables the direct conversion of irregular and low-frequency mechanical energy into pulsed alternating current(AC)signals.However,the incompatibility of most electronic devices with AC signals necessitates rectifier circuits or generators that deliver direct current(DC)signals.In recent years,DC-TENGs have undergone extensive development,achieving significant milestones in various application fields while also facing crucial challenges that require solutions.In this review,three categories of DC-TENG devices with distinct operating mechanisms are comprehensively explored:multiphase coupling,mechanical rectification,and air breakdown.Their typical structures and working mechanisms are thoroughly discussed,and specific output performance limitations,along with corresponding optimization strategies,are identified.Furthermore,the applications of DC-TENGs in various scenarios are summarized.Finally,the challenges faced by DC-TENGs and potential solutions are analyzed to guide further advancements in this technology.

关键词： TENG direct current working mechanisms output performance limitations optimization strategies

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Light People:Prof.Kei May Lau,newly elected US NAE member in Hong Kong,talks about future of photonics and women in science

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Light(Science & Applications) 2024年第4期13卷 602-608页

作者： Yating Wan Chenzi guo Electrical and Computer Engineering the ComputerElectrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and Technology23955-6900 ThuwalSaudi Arabia Changchun Institute of Optics Fine Mechanics and PhysicsChinese Academy of SciencesChangchunChina

Editorial Photonics technology remains a driving force in today’s scientific landscape,marked by continuous innovation and crossdisciplinary relevance.In an enlighting conversation with Light:Science&Applications,Prof.Kei May Lau,a pioneer in photonics research,shares her deep insights on the evolution of technologies of LEDs,lasers,challenges of hetero-epitaxy,and the future of micro-LEDs and quantum dot lasers.Recently honored as a member of the US National Academy of Engineering(NAE)for her significant contributions to photonics and electronics using III-V semiconductors on silicon,Prof.Lau stands out as the sole Hong Kong scholar inducted into the NAE this year,joining 114 new and 21 international members.In this exclusive Light People interview,Prof.Lau shares her journey as a pioneering woman in engineering,her commitment to mentorship and academia,and her perspective on advancing female representation in science.The summary provided is distilled from Prof.Lau’s thoughtful responses during the interview.For a deeper exploration of Prof.Lau’s experiences and advice,the full interview is available in the Supplementary material.

关键词： interview lighting driving

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