|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A nanomedicine approach enables co-delivery of cyclosporin A and gefitinib to potentiate the therapeutic efficacy in drug-resistant lung cancer显示文摘Drug resistance,accounting for therapeutic failure in the clinic,remains a major challenge to effectively manage cancer.Cyclosporin A(CsA)can reverse multidrug resistance(MDR),especially resistance to epidermal growth factor receptor tyrosine kinase inhibitors.However,the application of both drugs in cancer therapies is hampered by their poor aqueous solubility and low bioavailability due to oral administration.CsA augments the potency of gefitinib(Gef)in both Gef-sensitive and Gef-resistant cell lines.Here,we show that the simultaneous encapsulation of CsA and Gef within polyethylene glycol-block-poly(D,L-lactic acid)(PEG-PLA)produced a stable and systemically injectable nanomedicine,which exhibited a sub-50-nm diameter and spherical structures.Impressively,the co-delivery of therapeutics via single nanoparticles(NPs)outperformed the oral administration of the free drug combination at suppressing tumor growth.Furthermore,in vivo results indicated that CsA formulated in NPs sensitized Gef-resistant cells and Gefresistant tumors to Gef treatment by inactivating the STAT3/Bcl-2 signaling pathway.Collectively,our nanomedicine approach not only provides an alternative administration route for the drugs of choice but also effectively reverses MDR,facilitating the development of effective therapeutic modalities for cancer. | Weidong Han Linlin Shi Lulu Ren Liqian Zhou Tongyu Li Yiting Qiao Hangxiang Wang | 2018 | Signal Transduction and Targeted Therapy2018，3，1： | 2 |
| 2 | Molecular dynamics simulation of thin film fabrication process显示文摘 | Seizo Kato Hangxiang Hu | 1996 | Surface Science1996，357，： | 1 |
| 3 | Deoxycholic acidmodified chitooligosaccharide/mP EG-PDLLA mixed micelles loaded with paclitaxel for enhanced antitumor efficacy显示文摘 | Chengjun Jiang Hangxiang Wang Xiaomin Zhang Zhibin Sun Feng Wang Jun Cheng Haiyang Xie Bo Yu Lin Zhou | 2014 | International Journal of Pharmaceutics2014，475，12： | 1 |
| 4 | Adiponectin: An Indispensable Molecule in Rosiglitazone Cardioprotection Following Myocardial Infarction显示文摘 | Ling Tao Yajing Wang Erhe Gao Hangxiang Zhang Yuexing Yuan Wayne B. Lau Lawrence Chan Walter J. Koch Xin L. Ma | 2010 | Circulation Research2010，，2： | 1 |
| 5 | A quick emergency response model for Micro-blog public opinion crisis oriented to mobile Internet services : Design and implementation 显示文摘 | Wu Hangxiang Xin Mingjun | 2012 | Advances in Intelligent and Soft Computing2012，129，7： | 1 |
| 6 | Adiponectin: An Indispensable Molecule in Rosiglitazone Cardioprotection Following Myocardial Infarction显示文摘 | Ling Tao Yajing Wang Erhe Gao Hangxiang Zhang Yuexing Yuan Wayne B. Lau Lawrence Chan Walter J. Koch Xin L. Ma | 2010 | Circulation Research2010，，2： | 1 |
| 7 | A quick emergency response model for micro-blog public opinion crisis oriented to mobile Internet serv- ices: Design and implementation 显示文摘 | Wu Hangxiang Xin Mingjun | 2012 | Advances in Intelligent and Soft Computing2012，7，6： | 1 |
| 8 | Macrophage membrane-biomimetic adhesive polycaprolactone nanocamptothecin for improving cancer-targeting efficiency and impairing metastasis显示文摘The recent remarkable success and safety of mRNA lipid nanoparticle technology for producing severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)vaccines has stimulated intensive efforts to expand nanoparticle strategies to treat various diseases.Numerous synthetic nanoparticles have been developed for pharmaceutical delivery and cancer treatment.However,only a limited number of nanotherapies have enter clinical trials or are clinically approved.Systemically administered nanotherapies are likely to be sequestered by host mononuclear phagocyte system(MPS),resulting in suboptimal pharmacokinetics and insufficient drug concentrations in tumors.Bioinspired drug-delivery formulations have emerged as an alternative approach to evade the MPS and show potential to improve drug therapeutic efficacy.Here we developed a biodegradable polymer-conjugated camptothecin prodrug encapsulated in the plasma membrane of lipopolysaccharide-stimulated macrophages.Polymer conjugation revived the parent camptothecin agent(e.g.,7-ethyl-10-hydroxy-camptothecin),enabling lipid nanoparticle encapsulation.Furthermore,macrophage membrane cloaking transformed the nonadhesive lipid nanoparticles into bioadhesive nanocamptothecin,increasing the cellular uptake and tumor-tropic effects of this biomimetic therapy.When tested in a preclinical murine model of breast cancer,macrophage-camouflaged nanocamptothecin exhibited a higher level of tumor accumulation than uncoated nanoparticles.Furthermore,intravenous administration of the therapy effectively suppressed tumor growth and the metastatic burden without causing systematic toxicity.Our study describes a combinatorial strategy that uses polymeric prodrug design and cell membrane cloaking to achieve therapeutics with high efficacy and low toxicity.This approach might also be generally applicable to formulate other therapeutic candidates that are not compatible or miscible with biomimetic delivery carriers. | Kangkang Ying Yifeng Zhu Jianqin Wan Chenyue Zhan Yuchen Wang Binbin Xie Peirong Xu Hongming Pan Hangxiang Wang | 2023 | Bioactive Materials2023，，2： | 1 |
| 9 | Enhancement of T cell infiltration via tumor-targeted Th9 cell delivery improves the efficacy of antitumor immunotherapy of solid tumors显示文摘Insufficient infiltration of T cells severely compromises the antitumor efficacy of adoptive cell therapy(ACT)against solid tumors.Here,we present a facile immune cell surface engineering strategy aiming to substantially enhance the anti-tumor efficacy of Th9-mediated ACT by rapidly identifying tumor-specific binding ligands and improving the infiltration of infused cells into solid tumors.Non-genetic decoration of Th9 cells with tumor-targeting peptide screened from phage display not only allowed precise targeted ACT against highly heterogeneous solid tumors but also substantially enhanced infiltration of CD8+T cells,which led to improved antitumor outcomes.Mechanistically,infusion of Th9 cells modified with tumor-specific binding ligands facilitated the enhanced distribution of tumor-killing cells and remodeled the immunosuppressive microenvironment of solid tumors via IL-9 mediated immunomodulation.Overall,we presented a simple,cost-effective,and cell-friendly strategy to enhance the efficacy of ACT against solid tumors with the potential to complement the current ACT. | Tao Chen Yucheng Xue Shengdong Wang Jinwei Lu Hao Zhou Wenkan Zhang Zhiyi Zhou Binghao Li Yong Li Zenan Wang Changwei Li Yinwang Eloy Hangxiang Sun Yihang Shen Mohamed Diaty Diarra Chang Ge Xupeng Chai Haochen Mou Peng Lin Xiaohua Yu Zhaoming Ye | 2023 | Bioactive Materials2023，，5： | 0 |
| 10 | Deep Learning Based Underground Sewer Defect Classification Using a Modified RegNet显示文摘The sewer system plays an important role in protecting rainfall and treating urban wastewater.Due to the harsh internal environment and complex structure of the sewer,it is difficult to monitor the sewer system.Researchers are developing different methods,such as the Internet of Things and Artificial Intelligence,to monitor and detect the faults in the sewer system.Deep learning is a promising artificial intelligence technology that can effectively identify and classify different sewer system defects.However,the existing deep learning based solution does not provide high accuracy prediction and the defect class considered for classification is very small,which can affect the robustness of the model in the constraint environment.As a result,this paper proposes a sewer condition monitoring framework based on deep learning,which can effectively detect and evaluate defects in sewer pipelines with high accuracy.We also introduce a large dataset of sewer defects with 20 different defect classes found in the sewer pipeline.This study modified the original RegNet model by modifying the squeeze excitation(SE)block and adding the dropout layer and Leaky Rectified Linear Units(LeakyReLU)activation function in the Block structure of RegNet model.This study explored different deep learning methods such as RegNet,ResNet50,very deep convolutional networks(VGG),and GoogleNet to train on the sewer defect dataset.The experimental results indicate that the proposed system framework based on the modified-RegNet(RegNet+)model achieves the highest accuracy of 99.5 compared with the commonly used deep learning models.The proposed model provides a robust deep learning model that can effectively classify 20 different sewer defects and be utilized in real-world sewer condition monitoring applications. | Yu Chen Sagar A.S.M.Sharifuzzaman Hangxiang Wang Yanfen Li L.Minh Dang Hyoung-Kyu Song Hyeonjoon Moon | 2023 | Computers, Materials & Continua2023，，6： | 0 |
| 11 | Identification and validation of prognostic factors in patients with COVID-19: A retrospective study based on artificial intelligence algorithms显示文摘Background:Novel coronavirus disease 2019(COVID-19)is an ongoing global pandemic with high mortality.Although several studies have reported different risk factors for mortality in patients based on traditional analytics,few studies have used artificial intelligence(AI)algorithms.This study investigated prognostic factors for COVID-19 patients using AI methods.Methods:COVID-19 patients who were admitted in Wuhan Infectious Diseases Hospital from December 29,2019 to March 2,2020 were included.The whole cohort was randomly divided into training and testing sets at a 6:4 ratio.Demographic and clinical data were analyzed to identify predictors of mortality using least absolute shrinkage and selection operator(LASSO)regression and LASSO-based artificial neural network(ANN)models.The predictive performance of the models was evaluated using receiver operating characteristic(ROC)curve analysis.Results:A total of 1145 patients(610 male,53.3%)were included in the study.Of the 1145 patients,704 were assigned to the training set and 441 were assigned to the testing set.The median age of the patients was 57 years(range:47-66 years).Severity of illness,age,platelet count,leukocyte count,prealbumin,C-reactive protein(CRP),total bilirubin,Acute Physiology and Chronic Health Evaluation(APACHE)II score,and Sequential Organ Failure Assessment(SOFA)score were identified as independent prognostic factors for mortality.Incorporating these nine factors into the LASSO regression model yielded a correct classification rate of 0.98,with area under the ROC curve(AUC)values of 0.980 and 0.990 in the training and testing cohorts,respectively.Incorporating the same factors into the LASSO-based ANN model yielded a correct classification rate of 0.990,with an AUC of 0.980 in both the training and testing cohorts.Conclusions:Both the LASSO regression and LASSO-based ANN model accurately predicted the clinical outcome of patients with COVID-19.Severity of illness,age,platelet count,leukocyte count,prealbumin,CRP,total bilirubin,APACHE II score,and SOFA score were identified as prognostic factors for mortality in patients with COVID-19. | Sheng Zhang Sisi Huang Jiao Liu Xuan Dong Mei Meng Limin Chen Zhenliang Wen Lidi Zhang Yizhu Chen Hangxiang Du Yongan Liu Tao Wang Dechang Chen | 2021 | Journal of Intensive Medicine2021，1，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员