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| 1 | Erianin,a novel dibenzyl compound in Dendrobium extract,inhibits lung cancer cell growth and migration via calcium/calmodulin-dependent ferroptosis显示文摘Ferroptosis,a novel form of programmed cell death,is characterized by iron-dependent lipid peroxidation and has been shown to be involved in multiple diseases,including cancer.Stimulating ferroptosis in cancer cells may be a potential strategy for cancer therapy.Therefore,ferroptosis-inducing drugs are attracting more attention for cancer treatment.Here,we showed that erianin,a natural product isolated from Dendrobium chrysotoxum Lindl,exerted its anticancer activity by inducing cell death and inhibiting cell migration in lung cancer cells.Subsequently,we demonstrated for the first time that erianin induced ferroptotic cell death in lung cancer cells,which was accompanied by ROS accumulation,lipid peroxidation,and GSH depletion.The ferroptosis inhibitors Fer-1 and Lip-1 but not Z-VAD-FMK,CQ,or necrostatin-1 rescued erianin-induced cell death,indicating that ferroptosis contributed to erianin-induced cell death.Furthermore,we demonstrated that Ca^(2+)/CaM signaling was a critical mediator of erianin-induced ferroptosis and that blockade of this signaling significantly rescued cell death induced by erianin treatment by suppressing ferroptosis.Taken together,our data suggest that the natural product erianin exerts its anticancer effects by inducing Ca^(2+)/CaMdependent ferroptosis and inhibiting cell migration,and erianin will hopefully serve as a prospective compound for lung cancer treatment. | Peng Chen Qibiao Wu Jiao Feng Lili Yan Yitian Sun Shuiping Liu Yu Xiang Mingming Zhang Ting Pan Xiaying Chen Ting Duan Lijuan Zhai Bingtao Zhai Wengang Wang Ruonan Zhang Bi Chen Xuemeng Han Yicong Li Liuxi Chen Ying Liu Xingxing Huang Ting Jin Wenzheng Zhang Hong Luo Xiaohui Chen Yongqiang Li Qiujie Li Guohua Li Qin Zhang Lvjia Zhuo Zuyi Yang Huifen Tang Tian Xie Xiaoping Ouyang Xinbing Sui | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 42 |
| 2 | Preparation, characterization, pharmacokinetics and anticancer effects of PEGylated β-elemene liposomes显示文摘Objective:This study aimed to develop a new polyethylene glycol(PEG)ylatedβ-elemene liposome(PEG-Lipo-β-E)and evaluate its characterization,pharmacokinetics,antitumor effects and safety in vitro and in vivo.Methods:The liposomes were prepared by ethanol injection and high-pressure micro-jet homogenization.Characterization of the liposomes was conducted,and drug content,entrapment efficiency(EE),in vitro release and stability were studied by ultra-fast liquid chromatography(UFLC)and a liquid surface method.Blood was drawn from rats to establish the pharmacokinetic parameters.The anticancer effect was evaluated in a KU-19-19 bladder cancer xenograft model.Histological analyses were performed to evaluate safety.Results:The PEG-Lipo-β-E showed good stability and was characterized as 83.31±0.181 nm in size,0.279±0.004 in polydispersity index(PDI),-21.4±1.06 mV in zeta potential,6.65±0.02 in pH,5.024±0.107 mg/mL inβ-elemene(β-E)content,and 95.53±1.712%in average EE.The Fourier transform infrared spectroscopy(FTIR)and differential scanning calorimetry(DSC)indicated the formation of PEG-Lipo-β-E.Compared to elemene injection,PEG-Lipo-β-E demonstrated a 1.75-fold decrease in clearance,a 1.62-fold increase in half-life,and a 1.76-fold increase in area under the concentration-time curves(AUCs)from 0 hour to 1.5 hours(P<0.05).PEG-Lipo-β-E also showed an enhanced anticancer effect in vivo.Histological analyses showed that there was no evidence of toxicity to the heart,kidney,liver,lung or spleen.Conclusions:The present study demonstrates PEG-Lipo-β-E as a new formulation with ease of preparation,high EE,good stability,improved bioavailability and antitumor effects. | Bingtao Zhai Qibiao Wu Wengang Wang Mingming Zhang Xuemeng Han Qiujie Li Peng Chen Xiaying Chen Xingxing Huang Guohua Li Qin Zhang Ruonan Zhang Yu Xiang Shuiping Liu Ting Duan Jianshu Lou Tian Xie Xinbing Sui | 2020 | Cancer Biology & Medicine2020，17，1： | 6 |
| 3 | An ATF24 peptide-functionalized β-elemene-nanostructured lipid carrier combined with cisplatin for bladder cancer treatment显示文摘Objective:In this study,we aimed to develop an amino-terminal fragment(ATF)peptide-targeted liposome carryingβ-elemene(ATF24-PEG-Lipo-β-E)for targeted delivery into urokinase plasminogen activator receptor-overexpressing bladder cancer cells combined with cisplatin(DDP)for bladder cancer treatment.Methods:The liposomes were prepared by ethanol injection and high-pressure microjet homogenization.The liposomes were characterized,and the drug content,entrapment efficiency,andin vitro release were studied.The targeting efficiency was investigated using confocal microscopy,ultra-fast liquid chromatography,and an orthotopic bladder cancer model.The effects of ATF24-PEG-Lipo-β-E combined with DDP on cell viability and proliferation were evaluated by a Cell Counting Kit-8(CCK-8)assay,a colony formation assay,and cell apoptosis and cell cycle analyses.The anticancer effects were evaluated in a KU-19-19 bladder cancer xenograft model.Results:ATF24-PEG-Lipo-β-E had small and uniform sizes(~79 nm),high drug loading capacity(~5.24 mg/mL),high entrapment efficiency(98.37±0.95%),and exhibited sustained drug release behavior.ATF24-PEG-Lipo-β-E had better targeting efficiency and higher cytotoxicity than polyethylene glycol(PEG)ylatedβ-elemene liposomes(PEG-Lipo-β-E).DDP,combined with ATF24-PEG-Lipo-β-E,exerted a synergistic effect on cellular apoptosis and cell arrest at the G2/M phase,and these effects were dependent on the caspase-dependent pathway and Cdc25C/Cdc2/cyclin B1 pathways.Furthermore,thein vivo antitumor activity showed that the targeted liposomes effectively inhibited the growth of tumors,using the combined strategy.Conclusions:The present study provided an effective strategy for the targeted delivery ofβ-elemene(β-E)to bladder cancer,and a combined strategy for bladder cancer treatment. | Bingtao Zhai Peng Chen Wengang Wang Shuiping Liu Jiao Feng Ting Duan Yu Xiang Ruonan Zhang Mingming Zhang Xuemeng Han Xiaying Chen Qiujie Li Guohua Li Ying Liu Xingxing Huang Wenzheng Zhang Ting Pan Lili Yan Ting Jin Tian Xie Xinbing Sui | 2020 | Cancer Biology & Medicine2020，17，3： | 5 |
| 4 | PCDH17 increases the sensitivity of colorectal cancer to 5-fluorouracil treatment by inducing apoptosis and autophagic cell death显示文摘5-Fluorouracil(5-FU)is known as a first-line chemotherapeutic agent against colorectal cancer(CRC),but drug resistance occurs frequently and significantly limits its clinical success.Our previous study showed that the protocadherin 17(PCDH17)gene was frequently methylated and functioned as a tumor suppressor in CRC.However,the relationship between PCDH17 and 5-FU resistance in CRC remains unclear.Here,we revealed that PCDH17 was more highly expressed in 5-FU-sensitive CRC tissues than in 5-FU-resistant CRC tissues,and high expression of PCDH17 was correlated with high BECN1 expression.Moreover,this expression profile contributed to superior prognosis and increased survival in CRC patients.Restoring PCDH17 expression augmented the 5-FU sensitivity of CRC in vitro and in vivo by promoting apoptosis and autophagic cell death.Furthermore,autophagy played a dominant role in PCDH17-induced cell death,as an autophagy inhibitor blocked cell death to a greater extent than the pancaspase inhibitor Z-VAD-FMK.PCDH17 inhibition by siRNA decreased the autophagy response and 5-FU sensitivity.Mechanistically,we showed that c-Jun NH2-terminal kinase(JNK)activation was a key determinant in PCDH17-induced autophagy.The compound SP600125,an inhibitor of JNK,suppressed autophagy and 5-FU-induced cell death in PCDH17-reexpressing CRC cells.Taken together,our findings suggest for the first time that PCDH17 increases the sensitivity of CRC to 5-FU treatment by inducing apoptosis and JNK-dependent autophagic cell death.PCDH17 may be a potential prognostic marker for predicting 5-FU sensitivity in CRC patients. | Shuiping Liu Haoming Lin Da Wang Qiang Li Hong Luo Guoxiong Li Xiaohui Chen Yongqiang Li Peng Chen Bingtao Zhai Wengang Wang Ruonan Zhang Bi Chen Mingming Zhang Xuemeng Han Qiujie Li Liuxi Chen Ying Liu Xiaying Chen Guohua Li Yu Xiang Ting Duan Jiao Feng Jianshu Lou Xingxing Huang Qin Zhang Ting Pan Lili Yan Ting Jin Wenzheng Zhang Lvjia Zhuo Yitian Sun Tian Xie Xinbing Sui | 2019 | Signal Transduction and Targeted Therapy2019，4，1： | 4 |
| 5 | Bottom-up holistic carrier management strategy induced synergistically by multiple chemical bonds to minimize energy losses for efficient and stable perovskite solar cells显示文摘The defects from electron transport layer,perovskite layer and their interface would result in carrier nonradiative recombination losses.Poor buried interfacial contact is detrimental to charge extraction and device stability.Here,we report a bottom-up holistic carrier management strategy induced synergistically by multiple chemical bonds to minimize bulk and interfacial energy losses for high-performance perovskite photovoltaics.4-trifluoromethyl-benzamidine hydrochloride(TBHCl)containing–CF_(3),amidine cation and Cl^(-)is in advance incorporated into SnO_(2)colloid solution to realize bottom-up modification.The synergistic effect of multiple functional groups and multiple-bond-induced chemical interaction are revealed theoretically and experimentally.F and Cl^(-)can passivate oxygen vacancy and/or undercoordinated Sn^(4+)defects by coordinating with Sn^(4+).The F can suppress cation migration and modulate crystallization via hydrogen bond with FA^(+),and can passivate lead defects by coordinating with Pb^(2+).The–NH_(2)–C=NH^(+)_(2)and Cl^(-)can passivate cation and anion vacancy defects through ionic bonds with perovskites,respectively.Through TBHCl modification,the suppression of agglomeration of SnO_(2)nanoparticles,bulk and interfacial defect passivation,and release of tensile strains of perovskite films are demonstrated,which resulted in a PCE enhancement from 21.28%to 23.40%and improved stability.With post-treatment,the efficiency is further improved to 23.63%. | Baibai Liu Ru Li Qixin Zhuang Xuemeng Yu Shaokuan Gong Dongmei He Qian Zhou Hua Yang Xihan Chen Shirong Lu Zong-Xiang Xu Zhigang Zang Jiangzhao Chen | 2023 | Journal of Energy Chemistry2023，，1： | 1 |
| 6 | Generative adversarial networks enhanced location privacy in 5G networks显示文摘5G networks,as the up-to-date communication platforms,are experiencing fast booming.Meanwhile,increasing volumes of sensitive data,especially location information,are being generated and shared using 5G networks for various purposes ceaselessly.Location and trajectory information in the published data has always been and will keep courting risks and attacks by malicious adversaries.Therefore,there are still privacy leakage threats by simply sharing the original data,especially data with location information,due to the short cover range of 5G signal tower.To better address these issues,we proposed a generative adversarial networks(GAN)enhanced location privacy protection model to cloak the location and even trajectory information.We use posterior sampling to generate a subset of data,which is proved complying with differential privacy requirements from the end device side.After that,a data augmentation algorithm modified from classic GAN is devised to generate a series of privacy-preserving full-sized synthetic data from the central server side.With the synthetic data generated from a real-world dataset,we demonstrate the superiority of the proposed model in terms of location privacy protection,data utility,and prediction accuracy. | Youyang QU Jingwen ZHANG Ruidong LI Xiaoning ZHANG Xuemeng ZHAI Shui YU | 2020 | Science China(Information Sciences)2020，63，12： | 1 |
| 7 | Simulation of Two-Phase Flowback Phenomena in Shale Gas Wells显示文摘The gas-water two-phaseflow occurring as a result of fracturingfluidflowback phenomena is known to impact significantly the productivity of shale gas well.In this work,this two-phaseflow has been simulated in the framework of a hybrid approach partially relying on the embedded discrete fracture model(EDFM).This model assumes the region outside the stimulated reservoir volume(SRV)as a single-medium while the SRV region itself is described using a double-medium strategy which can account for thefluid exchange between the matrix and the micro-fractures.The shale gas adsorption,desorption,diffusion,gas slippage effect,fracture stress sensitivity,and capillary imbibition have been considered.The shale gas production,pore pressure distribution and water saturation distribution in the reservoir have been simulated.The influences of hydraulic fracture geometry and nonorthogonal hydraulic fractures on gas production have been determined and discussed accordingly.The simulation results show that the daily gas production has an upward and downward trend due to the presence of a large amount of fracturingfluid in the reservoir around the hydraulic fracture.The smaller the angle between the hydraulic fracture and the wellbore,the faster the daily production of shale gas wells decreases,and the lower the cumulative production.Nonplanar fractures can increase the control volume of hydraulic fractures and improve the production of shale gas wells. | Yongwei Duan Zhaopeng Zhu Hui He Gaoliang Xuan Xuemeng Yu | 2024 | Fluid Dynamics & Materials Processing2024，20，2： | 0 |
| 8 | Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence显示文摘The popularization of intelligent healthcare devices and big data analytics significantly boosts the development of Smart Healthcare Networks(SHNs).To enhance the precision of diagnosis,different participants in SHNs share health data that contain sensitive information.Therefore,the data exchange process raises privacy concerns,especially when the integration of health data from multiple sources(linkage attack)results in further leakage.Linkage attack is a type of dominant attack in the privacy domain,which can leverage various data sources for private data mining.Furthermore,adversaries launch poisoning attacks to falsify the health data,which leads to misdiagnosing or even physical damage.To protect private health data,we propose a personalized differential privacy model based on the trust levels among users.The trust is evaluated by a defined community density,while the corresponding privacy protection level is mapped to controllable randomized noise constrained by differential privacy.To avoid linkage attacks in personalized differential privacy,we design a noise correlation decoupling mechanism using a Markov stochastic process.In addition,we build the community model on a blockchain,which can mitigate the risk of poisoning attacks during differentially private data transmission over SHNs.Extensive experiments and analysis on real-world datasets have testified the proposed model,and achieved better performance compared with existing research from perspectives of privacy protection and effectiveness. | Youyang Qu Lichuan Ma Wenjie Ye Xuemeng Zhai Shui Yu Yunfeng Li David Smith | 2023 | Big Data Mining and Analytics2023，6，4： | 0 |
| 9 | Total Synthesis of Marine Cyclic Enol-Phosphotriester Salinipostin Compounds显示文摘Due to their structural diversity and variety of biological activities, marine natural products have been the subject of extensive study. These compounds, especially phospholipid polycyclic aromatic hydrocarbons, have a wide range of pharmacological applications, including embedded DNA and central nervous system, anti-tumor, anti-virus, anti-parasite, anti-bacterial, and antithrombotic effects. Unfortunately, the insufficient drug sources have limited the development of these compounds. In this study, we isolated salinpostin compounds from a fermentation solution of marine-derived Salinospora sp., which has a common bicyclic enol-phosphotriester core framework, as well as potent and selective antimalarial activities against P. falciparum with EC_(50)=50 nmolL^(-1). The chemical synthesis of these compounds in greater quantities is necessary for their use in bioactivity studies. Thus we explored a short route with high yields and mild reaction conditions, which can generate combinatorial libraries for drug discovery and lead optimization. We developed a new total synthesis method for six cyclic enol-phosphotriester salinipotin compounds and their diastereomers. For the total synthesis of cyclipostin P, we prepared cyclic enol-phosphotriester salinipostin compounds in 10 steps from a readily accessible starting material, 1,3-dihydroxyacetone, and obtained an overall yield of 1.29%. We fully characterized these compounds by proton nuclear magnetic resonance(~1H-NMR), carbon-13 NMR(^(13)C-NMR), and high-resolution mass spectrometry(HRMS) analyses, and found they coincide absolutely with the same compounds reported previously. | ZHAO Mingliang WEI Xianfeng LIU Xuemeng DONG Xueyang YU Rilei WAN Shengbiao JIANG Tao | 2018 | Journal of Ocean University of China2018，17，3： | 0 |
| 10 | Unraveling abnormal buried interface anion defect passivation mechanisms depending on cation-induced steric hindrance for efficient and stable perovskite solar cells显示文摘Although ionic liquids(ILs)have been widely employed to heal the defects in perovskite solar cells(PSCs),the corresponding defect passivation mechanisms are not thoroughly understood up to now.Herein,we first reveal an abnormal buried interface anion defect passivation mechanism depending on cationinduced steric hindrance.The IL molecules containing the same anion([BF4]^(-))and different sizes of imidazolium cations induced by substituent size are used to manipulate buried interface.It was revealed what passivated interfacial defects is mainly anions instead of cations.Theoretical and experimental results demonstrate that the large-sized cations can weaken the ionic bond strength between anions and cations,and facilitate the interaction between anions and SnO2as well as perovskites,which is conducive to interfacial defect passivation and ameliorating interfacial contact.It can be concluded that interfacial chemical interaction strength and defect passivation effect are positively correlated with the size of cations.The discovery breaks conventional thinking that large-sized modification molecules would weaken their chemical interaction with perovskite.Compared with the control device(21.54%),the device based on 1,3-Bis(1-adamantyl)-imidazolium tetrafluoroborate(BAIMBF4)with maximum size cations achieves a significantly enhanced efficiency of 23.61%along with much increased moisture,thermal and light stabilities. | Dongmei He Ru Li Baibai Liu Qian Zhou Hua Yang Xuemeng Yu Shaokuan Gong Xihan Chen Baomin Xu Shangfeng Yang Jiangzhao Chen | 2023 | Journal of Energy Chemistry2023，，5： | 0 |
| 11 | Vision Enhanced Generative Pre-trained Language Model for Multimodal Sentence Summarization显示文摘Multimodal sentence summarization(MMSS)is a new yet challenging task that aims to generate a concise summary of a long sentence and its corresponding image.Although existing methods have gained promising success in MMSS,they overlook the powerful generation ability of generative pre-trained language models(GPLMs),which have shown to be effective in many text generation tasks.To fill this research gap,we propose to using GPLMs to promote the performance of MMSS.Notably,adopting GPLMs to solve MMSS inevitably faces two challenges:1)What fusion strategy should we use to inject visual information into GPLMs properly?2)How to keep the GPLM′s generation ability intact to the utmost extent when the visual feature is injected into the GPLM.To address these two challenges,we propose a vision enhanced generative pre-trained language model for MMSS,dubbed as Vision-GPLM.In Vision-GPLM,we obtain features of visual and textual modalities with two separate encoders and utilize a text decoder to produce a summary.In particular,we utilize multi-head attention to fuse the features extracted from visual and textual modalities to inject the visual feature into the GPLM.Meanwhile,we train Vision-GPLM in two stages:the vision-oriented pre-training stage and fine-tuning stage.In the vision-oriented pre-training stage,we particularly train the visual encoder by the masked language model task while the other components are frozen,aiming to obtain homogeneous representations of text and image.In the fine-tuning stage,we train all the components of Vision-GPLM by the MMSS task.Extensive experiments on a public MMSS dataset verify the superiority of our model over existing baselines. | Liqiang Jing Yiren Li Junhao Xu Yongcan Yu Pei Shen Xuemeng Song | 2023 | Machine Intelligence Research2023，20，2： | 0 |
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