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Reductive lipid nanoparticles loaded with vinorelbine inhibit chemotherapy-induced invasion of cancer cells by modulating ENPP2

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Nano Research 2024年第4期17卷 2886-2898页

作者： Xiaoqi Zhao Xuemeng Guo Mei Pang Weigen Qiu zhenyu luo Qing Lin Yichao Lu Hang Yin Sijie Wang Huihui Liu Junlei Zhang Lihua luo Jian You College of Pharmaceutical Sciences Zhejiang University866 Yuhangtang RoadHangzhou 310058China Hangzhou Institute of Innovative Medicine Zhejiang UniversityHangzhou 310058China

Cancer is a predominant culprit behind worldwide death and accounts for up to 10 million deaths every year.Chemotherapy is the primary therapeutic method employed for cancer in clinical settings and is essential in controlling tumor progression.Despite the advances in this field,tumor invasion and metastasis during treatment remain a significant cause of treatment failure.Nevertheless,the underlying mechanisms involving such a disappointing phenomenon are still not fully elucidated.Vinorelbine(VNB)extends the lifespan of many cancer patients in the clinic as an emerging chemotherapy drug approved by Food and Drug Administration(FDA).However,VNB-induced tumor metastasis is still an intractable problem,which may be closely related to the abnormal oxidative stress generated during VNB-mediated treatment.Hence,the study aims to construct a reductive nanosystem loaded with VNB,called VNB-VNP,to improve cancer cure rates and reduce tumor metastasis.With the reductive component vitamin E,VNB-VNP can effectively reduce oxidative stress and significantly outperform free VNB in preventing tumor progression.The transcriptome analysis shows that VNB-VNP can alleviate the over-expression of ectonucleotide pyrophosphatase/phosphodiesterase 2(ENPP2),which may be the main reason why VNB-VNP can inhibit tumor invasion and metastasis.Overall,the research designs a new platform for VNB treatment,which demonstrates promising efficacy in inhibiting neoplastic progression and identifies a new mechanism associated with VNB-induced tumor metastasis,which may offer several valuable references for enhancing chemotherapy efficacy in clinical anti-tumor therapy.

关键词： chemotherapy vinorelbine tumor Invasion lysophosphatidic acid ectonucleotide pyrophosphatase/phosphodiesterase 2(ENPP2)

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Year-round changes in tropospheric nitrogen dioxide caused by COVID-19 in China using satellite observation

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Journal of Environmental Sciences 2023年第10期132卷 162-168页

作者： zhenyu luo Hailian Xu Zhining Zhang Songxin Zheng Huan Liu State Key Joint Laboratory of ESPC State Environmental Protection Key Laboratory of Sources and Control of Air Pollution ComplexSchool of EnvironmentTsinghua UniversityBeijing 100084China

The lockdown policy deals a severe blow to the economy and greatly reduces the nitrogen oxides(NOx)emission in China when the coronavirus 2019 spreads widely in early 2020.Here we use satellite observations from Tropospheric Monitoring Instrument to study the year-round variation of the nitrogen dioxide(NO_(2))tropospheric vertical column density(TVCD)in 2020.The NO_(2)TVCD reveals a sharp drop,followed by small fluctuations and then a strong rebound when compared to 2019.By the end of 2020,the annual average NO_(2)TVCD declines by only 3.4%in Chinamainland,much less than the reduction of 24.1%in the lockdown period.On the basis of quantitative analysis,we find the rebound of NO_(2)TVCD is mainly caused by the rapid recovery of economy especially in the fourth quarter,when contribution of industry and power plant on NO_(2)TVCD continues to rise.This revenge bounce of NO_(2)indicates the emission reduction of NOx in lockdown period is basically offset by the recovery of economy,revealing the fact that China’s economic development and NOx emissions are still not decoupled.More efforts are still required to stimulate low-pollution development.

关键词： COVID-19 Tropospheric NO2 TROPOMI Economy recovery Environment sustainability

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PM2.5 concentration estimation using convolutional neural network and gradient boosting machine

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Journal of Environmental Sciences 2020年第12期32卷 85-93页

作者： zhenyu luo Feifan Huang Huan Liu State Key Joint Laboratory of ESPC School of the EnvironmentTsinghua UniversityBeijing 100084China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China

Surface monitoring, vertical atmospheric column observation, and simulation using chemical transportation models are three dominant approaches for perception of fine particles with diameters less than 2.5 micrometers(PM2.5) concentration. Here we explored an imagebased methodology with a deep learning approach and machine learning approach to extend the ability on PM2.5 perception. Using 6976 images combined with daily weather conditions and hourly time data in Shanghai(2016), trained by hourly surface monitoring concentrations, an end-to-end model consisting of convolutional neural network and gradient boosting machine(GBM) was constructed. The mean absolute error, the root-mean-square error and the R-squared for PM2.5 concentration estimation using our proposed method is 3.56, 10.02, and 0.85 respectively. The transferability analysis showed that networks trained in Shanghai, fine-tuned with only 10% of images in other locations, achieved performances similar to ones from trained on data from target locations themselves. The sensitivity of different regions in the image to PM2.5 concentration was also quantified through the analysis of feature importance in GBM. All the required inputs in this study are commonly available, which greatly improved the accessibility of PM2.5 concentration for placed and period with no surface observation. And this study makes an exploratory attempt on pollution monitoring using graph theory and deep learning approach.

关键词： Deep learning Convolutional neural network Hybrid model PM2.5concentration

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Exogenously applied methyl jasmonate increased the resistance of postharvest pear fruit to blue mold

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Fruit Research 2022年第1期2卷 102-109页

作者： Ming Chen zhenyu luo Xianyang Zhao Shucheng Li Fan Wu Jinyin Chen Miaolian Xiang College of Agronomy Jiangxi Agricultural UniversityNanchang 330045China Jiangxi Key Laboratory for Postharvest Technology and Nondestructive Testing of Fruits and Vegetables Nanchang 330045China College of Materials and Chemical Engineering Pingxiang UniversityPingxiang 337055China

Methyl jasmonate(MeJA)is a plant-signalling molecule that plays significant roles in stress reactions and defence responses.The goal of this study was to characterize the effects of exogenous MeJA application on the resistance of postharvest pear fruit to blue mould rot caused by Penicillium expansum and investigate the mechanism underlying the observed effects of MeJA application.MeJA treatment effectively reduced the lesion diameter of blue mould rot in pear fruit.Furthermore,MeJA significantly enhanced the activities of antioxidant and defence-related enzymes,such as polyphenol oxidase(PPO),superoxide dismutase(SOD),peroxidase(POD),catalase(CAT),β-1,3 glucanase(GLU)and chitinase(CHI);total phenol content also increased,and membrane lipid peroxidation decreased.MeJA treatment promoted the expression of PpPPO,Cu-ZnSOD,PpPOD,PpCAT,PpCHI and PpGLU.Overall,this experiment suggested that MeJA-induced pear fruit resistance against blue mould rot may be related to the enhanced activities of defence enzymes and gene expression.

关键词： blue promoted resistance

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Altitude-dependent gaseous emissions from freight trucks along the China-Pakistan Economic Corridor in Pakistan

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Environmental Science and Ecotechnology 2023年第2期14卷 72-78页

作者： Asad Ali Shaikh Tingkun He Fanyuan Deng zhenyu luo Junchao Zhao Zhining Zhang Huan Liu State Key Joint Laboratory of ESPC State Environmental Protection Key Laboratory of Sources and Control of Air Pollution ComplexSchool of EnvironmentTsinghua UniversityBeijing100084China

Recent increases in emissions from freight transport have caused strong concerns about air quality in Pakistan,following the rapid development of projects related to the China-Pakistan Economic Corridor(CPEC).This study reported the first measurements of on-road truck emissions in Pakistan and investigated their dependence on altitude along CPEC routes.Emissions from 70 trucks were measured on CPEC highways located in Islamabad(540 m above sea level),Sost(2800 m above sea level),and at the Khunjerab Pass(4693 m above sea level).Calculated emission factors for carbon monoxide,hydrocarbons,and nitrogen oxides from heavy-duty trucks in Islamabad were 12.94±1.46,15.21±1.67,and 10.69±1.34 g km^(-1)(95%confidence level),respectively,for pre-Pak-II trucks,and 12.75±2.80,14.24±3.53,and 10.24±2.34 g km^(-1)(95%confidence level),respectively,for Pak-II trucks,representing 2e20 times higher values than the emission standards in Pakistan and India.An altitude increase of approximately 4000 m,with the associated changes in meteorology and fleet characteristics,induced an average increase of 103.6%,86.3%,124.5%,and 133.6%in the emission factors of carbon monoxide,hydrocarbons,nitrogen oxides,and carbon dioxide,respectively.Moreover,on-road emissions along the CPEC were mainly influenced by truck types.This study will support the budget evaluation of transport emissions from the CPEC trade fleet.

关键词： Truck emissions High altitude China-Pakistan Economic corridor Emission factors

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“双思维”教学方式在生理科学实验课程中的应用探究

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中国高等医学教育 2024年第3期 65-66,69页

作者：程宁涛邵喆婳罗震宇应颂敏浙江大学医学院公共卫生学院浙江杭州310058 浙江大学医学院附属第二医院浙江杭州310009 浙江大学药学院浙江杭州310058 浙江大学“一带一路”国际医学院浙江义乌322000 浙江大学医学院附属第四医院浙江义乌322000

目的:本研究旨在探究“双思维”教学方式在本科生理科学实验教学中的应用效果,通过融合培养理论思维与实践思维的教学方式创新,为推动实验课程教学发展做出有益探索。方法:采用随机抽样方法,选取30名本科生作为试验组,以“双思维”教学... 详细信息

目的:本研究旨在探究“双思维”教学方式在本科生理科学实验教学中的应用效果,通过融合培养理论思维与实践思维的教学方式创新,为推动实验课程教学发展做出有益探索。方法:采用随机抽样方法,选取30名本科生作为试验组,以“双思维”教学方式进行授课。通过问卷调查,全面评估授课效果。结果:经过以“双思维”为核心的课程教学,学生的理论考试成绩并未显著提高;但从学生的主观反馈来看,该教学方式让他们对生命科学有了更深入的理解,提升了独立思考和实验操作能力,培养了良好的科研习惯,激发了科研热情。结论:“双思维”方式在生理科学实验课程教学中具有可行性和有效性。

关键词：双思维教学方式生理科学实验课程理论思维实践思维

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功能化聚联乙炔囊泡比色法检测Ⅰ型胶原蛋白

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生物化工 2024年第1期10卷 47-53页

作者：郭纪彤尹越王宁馨罗振宇蒋波四川大学生物材料工程研究中心四川成都610065

目的:构建一种功能化聚联乙炔囊泡比色法检测I型胶原蛋白的高效检测手段。方法:以10,12-二十五碳二炔酸(PCDA)、10,12-二十五碳二炔-1-醇(PCDO)为原料,根据不同的摩尔比(10∶0、7∶3、6∶4)制备了功能化聚联乙炔囊泡(PDA-PDO囊泡),探讨... 详细信息

目的:构建一种功能化聚联乙炔囊泡比色法检测I型胶原蛋白的高效检测手段。方法:以10,12-二十五碳二炔酸(PCDA)、10,12-二十五碳二炔-1-醇(PCDO)为原料,根据不同的摩尔比(10∶0、7∶3、6∶4)制备了功能化聚联乙炔囊泡(PDA-PDO囊泡),探讨了功能化PDA-PDO囊泡检测I型胶原蛋白的灵敏度、形貌与变色间关系、特异性、稳定性。结果:以PCDA和PCDO摩尔比为7∶3制备的聚联乙炔囊泡检测效果最佳,检测限为3.88 ng/mL;PDA-PDO囊泡变色越明显,表面塌陷越严重,同时该生物传感器具有良好的特异性、稳定性。结论:该生物传感器为I型胶原蛋白的可视化检测提供了途径。

关键词：胶原蛋白生物传感器聚联乙炔自组装

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Segment differential aggregation representation and supervised compensation learning of ConvNets for human action recognition

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Science China(Technological Sciences) 2024年第1期67卷 197-208页

作者： REN ZiLiang ZHANG QieShi CHENG Qin XU zhenyu YUAN Shuai luo DeLin School of Computer Science and Technology Dongguan University of TechnologyDongguan 523808China Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China School of Electronic Engineering and Automation Guilin University of Electronic TechnologyGuilin 541004China Department of the mechanical engineering Erlangen-Nuremberg UniversityErlangen 91508Germany School of Aerospace Engineering Xiamen UniversityXiamen 361102China

With more multi-modal data available for visual classification tasks,human action recognition has become an increasingly attractive topic.However,one of the main challenges is to effectively extract complementary features from different modalities for action recognition.In this work,a novel multimodal supervised learning framework based on convolution neural networks(Conv Nets)is proposed to facilitate extracting the compensation features from different modalities for human action recognition.Built on information aggregation mechanism and deep Conv Nets,our recognition framework represents spatial-temporal information from the base modalities by a designed frame difference aggregation spatial-temporal module(FDA-STM),that the networks bridges information from skeleton data through a multimodal supervised compensation block(SCB)to supervise the extraction of compensation features.We evaluate the proposed recognition framework on three human action datasets,including NTU RGB+D 60,NTU RGB+D 120,and PKU-MMD.The results demonstrate that our model with FDA-STM and SCB achieves the state-of-the-art recognition performance on three benchmark datasets.

关键词： action recognition segment frame difference aggregation supervised compensation learning ConvNets

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Geochronologic and petrochemical evidence for the genetic link between the Maomaogou nepheline syenites and the Emeishan large igneous province

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Chinese Science Bulletin 2007年第7期52卷 949-958页

作者： luo zhenyu XU YiGang HE Bin SHI YuRuo HUANG XiaoLong Key Laboratory of Isotope Geochronology and Geochemistry Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou 510640 China Graduate University of the Chinese Academy of Sciences Beijing 100049 China Beijing SHRIMP Center Beijing 100037 China

The Maomaogou nepheline syenite is located at the inner zone of the Emeishan large igneous province and exhibits intrusive contact with the Emeishan basalts. SHRIMP U-Pb dating on zircons from this syenite yields an age of 261.6±4.4 Ma, in agreement with the age of the Panzhihua layered intrusion and the eruption age of the Emeishan basalts as constrained by stratigraphic data. Geochemical data fur-ther suggest that the Maomaogou syenite has a source analogue to the Emeishan basalt, and may have been formed by partial melting of gabbroic cumulates underplated in the lower crust. As s result, tem-poral and spatial relationships and petrogenetic constraints provide evidence for the genetic link be-tween basalts, mafic/ultramafic and intermediate/acidic intrusives in the Panxi area.

关键词：会理县猫猫沟霞石正长岩峨眉山岩石成因相关性地质年代地球化学

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非绝热条件下冰浆管内流动特性研究

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华中科技大学学报（自然科学版） 2022年第10期50卷 77-82页

作者：朱娜吴涛胡平放罗振宇华中科技大学环境科学与工程学院湖北武汉430074

将过冷水法制取冰浆的工作原理结合多相流欧拉模型和相间传热传质模型,使用Fluent软件模拟非绝热条件下冰浆在出冰管道的流动情况,管道模型包括水平直管和90°弯管.在初始含冰率为1%~10%范围内,结合两种管内冰堵判断依据,研究冰晶粒径... 详细信息

将过冷水法制取冰浆的工作原理结合多相流欧拉模型和相间传热传质模型,使用Fluent软件模拟非绝热条件下冰浆在出冰管道的流动情况,管道模型包括水平直管和90°弯管.在初始含冰率为1%~10%范围内,结合两种管内冰堵判断依据,研究冰晶粒径、管径、管长、曲率半径等参数对两种临界流速的影响.结果表明:冰晶粒径和直管管长产生的影响较强,两种临界流速呈现显著上升趋势,其中对临界流速一的影响更为明显;管径产生的影响较弱,两种临界流速呈现微弱增长趋势,且增长率趋于平缓,变化范围为0.02~0.07 m/s;弯管曲率产生的影响微弱,两种临界流速呈现微弱下降趋势,变化范围为0.01~0.03 m/s.

关键词：冰浆含冰率管内流动临界流速冰堵

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