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Pd@Ir-LOD multienzyme utilizing endogenous lactate consumption cooperates with photothermal for tumor therapy

Nano research 2024年第1期17卷 270-281页

作者： Zichen Ye Yun Li Jingchao Li Xinyan Hu Jinyang Zheng Gongxin Zhang Sijin Xiang Tianbao Zhu Zhide Guo Xiaolan Chen State Key Laboratory for Physical Chemistry of Solid Surfaces Collaborative Innovation Center of Chemistry for Energy Materials and Engineering Research Center for Nano-Preparation Technology of Fujian ProvinceCollege of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics&Center for Molecular Imaging and Translational Medicine School of Public Health Xiamen UniversityXiamen 361102China The High Educational Key Laboratory for Biomedical Engineering&Key Laboratory of Fire Retardant Materials of Fujian Province Department of BiomaterialsCollege of MaterialsXiamen UniversityXiamen 361102China

Lactic acid(LA)plays a major role in the occurrence,development,and spread of *** by its high accumulation in tumor site,a novel lactate oxidase(LOD)conjugated two-dimensional Pd@Ir nanoplatform(Pd@Ir-LOD,PIL)was fabricated to combine cascade reaction with photothermal for tumor *** detail,the overexpressed LA in tumor microenvironment(TME)was a key factor to activate the PIL-based cascade reaction:(1)Plenty of H_(2)O_(2)could be generated from LA by the catalysis of LOD with O_(2);(2)potent·OH was produced from H_(2)O_(2)due to the peroxidase(POD)-like activity of PIL;(3)meantime,PIL’s catalase(CAT)-like activity could decompose part H_(2)O_(2)into O_(2)to achieve the purpose of LA cyclic ***,the reduced glutathione(GSH)scavenging capability of PIL might protect the produced reactive oxygen species(ROS)from being cleared to further improve the cascade therapeutic *** importantly,PIL had excellent photothermal conversion efficiency(37.35%)and manifested a surprising temperature rising effect in *** together,the decreasing LA concentration,accumulation of high-toxic ROS,the depletion of GSH together with the higher intra-tumoral temperature potently enhanced in vivo antitumor ***,a promising therapeutic tactic based on PIL integrating endogenous LA consumption,chemodynamic therapy(CDT),and photothermal therapy(PTT)has been put forward.

关键词： lactate oxidase chemodynamic therapy photothermal therapy cascade reaction tumor microenvironment

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Detection of physiological changes in rheumatoid arthritis using time-domain near-infrared imaging: an in silico phantom study 15

Detection of physiological changes in rheumatoid arthritis u...

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Optical Tomography and Spectroscopy of Tissue XV 2023

作者： Ioussoufovitch, Seva Diop, Mamadou School of Biomedical Engineering Collaborative Training Program in Musculoskeletal Health Research Bone & Joint Institute Western University London Canada Dept. of Medical Biophysics Western University London Canada Imaging Program Lawson Health Research Institute London Canada

ISBN: (纸本)9781510658578

Early treatment improves rheumatoid arthritis (RA) prognosis;however, 30% of patients still fail their first treatment and current methods can take as long as 3–6 months to detect treatment failure. Time-domain near-infrared diffuse optical imaging (TD-DOI) has the potential to track gradual changes in RA disease activity and could be a more sensitive technique for RA treatment monitoring. Nevertheless, there has been very little investigation into the relationships between TD-DOI and the specific physiological changes that occur in RA. To this end, this work’s objective was to investigate the effects of RA-associated physiological changes on TD-DOI images in silico. Virtual finger phantoms—derived from an MRI segmentation of a healthy human finger—were used to simulate changes in 5 physiological parameters that are typically affected in RA. Four levels of disease activity were considered for each parameter and each parameter was altered individually;parameter alterations were then translated into changes in phantom geometry and optical properties. MCXLAB was used to simulate the propagation of time-domain light (800 nm) through phantoms’ proximal interphalangeal joints and Poisson noise was added to the TD-DOI data to simulate experimental conditions. Spatiotemporal Fourier decomposition was applied to the TD-DOI data to extract image components, which were grouped into datasets based on the physiological parameter that was altered. Component sensitivity to each physiological parameter was assessed using the ratio between a component’s range and standard deviation within each dataset (range-to-error ratio;RER). Mean RER was highest for changes in synovial membrane and fluid volume, suggesting that this parameter may be a primary source of contrast for monitoring RA treatment response with TD-DOI. © 2023 SPIE.

关键词： Phantoms

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Student Academic Performance Predictive Model Based on Dual-stream Deep Network

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计算机科学 2024年第10期51卷 119-128页

作者： XIE Hui ZHANG Pengyuan DONG Zexiao YANG Huiting KANG Huan HE Jiangshan CHEN Xueli Center for Biomedical-photonics and Molecular Imaging Xi’an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life InformationSchool of Life Science and TechnologyXidian UniversityXi’an 710126China Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi’an 710126China Innovation Center for Advanced Medical Imaging and Intelligent Medicine Guangzhou Institute of TechnologyXidian UniversityGuangzhou 510550China

Blended teaching is one of the essential teaching methods with the development of information *** a learning effect evaluation model is helpful to improve students’academic performance and helps teachers to better implement course ***,a lack of evaluation models for the fusion of temporal and non-temporal behavioral data leads to an unsatisfactory evaluation *** meet the demand for predicting students’academic performance through learning behavior data,this study proposes a learning effect evaluation method that integrates expert perspective indicators to predict academic performance by constructing a dual-stream network that combines temporal behavior data and non-temporal behavior data in the learning *** this paper,firstly,the Delphi method is used to analyze and process the course learning behavior data of students and establish an effective evaluation index system of learning behavior with universality;secondly,the Mann-Whitney U-test and the complex correlation analysis are used to analyze further and validate the evaluation indexes;and lastly,a dual-stream information fusion model,which combines temporal and non-temporal features,is *** learning effect evaluation model is built,and the results of the mean absolute error(MAE)and root mean square error(RMSE)indexes are 4.16 and 5.29,*** study indicates that combining expert perspectives for evaluation index selection and further fusing temporal and non-temporal behavioral features that for learning effect evaluation and prediction is rationality,accuracy,and effectiveness,which provides a powerful help for the practical application of learning effect evaluation and prediction.

关键词： Blended teaching Expert perspective indicators Two-stream information fusion model

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One-Shot Generative Prior in Hankel-k-Space for Parallel imaging Reconstruction

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IEEE Transactions on Medical imaging 2023年第11期42卷 3420-3435页

作者： Peng, Hong Jiang, Chen Cheng, Jing Zhang, Minghui Wang, Shanshan Liang, Dong Liu, Qiegen Nanchang University School of Information Engineering Nanchang330031 China Nanchang University School of Mathematics and Computer Sciences Nanchang330031 China Chinese Academy of Sciences Paul C. Lauterbur Research Center for Biomedical Imaging Siat Shenzhen518055 China

Magnetic resonance imaging serves as an essential tool for clinical diagnosis. However, it suffers from a long acquisition time. The utilization of deep learning, especially the deep generative models, offers aggressive acceleration and better reconstruction in magnetic resonance imaging. Nevertheless, learning the data distribution as prior knowledge and reconstructing the image from limited data remains challenging. In this work, we propose a novel Hankel-k-space generative model (HKGM), which can generate samples from a training set of as little as one k-space. At the prior learning stage, we first construct a large Hankel matrix from k-space data, then extract multiple structured k-space patches from the Hankel matrix to capture the internal distribution among different patches. Extracting patches from a Hankel matrix enables the generative model to be learned from the redundant and low-rank data space. At the iterative reconstruction stage, the desired solution obeys the learned prior knowledge. The intermediate reconstruction solution is updated by taking it as the input of the generative model. The updated result is then alternatively operated by imposing low-rank penalty on its Hankel matrix and data consistency constraint on the measurement data. Experimental results confirmed that the internal statistics of patches within single k-space data carry enough information for learning a powerful generative model and providing state-of-the-art reconstruction. © 1982-2012 IEEE.

关键词： Magnetic resonance imaging

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RUFY4 deletion prevents pathological bone loss by blocking endo-lysosomal trafficking of osteoclasts

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Bone research 2024年第2期12卷 407-420页

作者： Minhee Kim Jin Hee Park Miyeon Go Nawon Lee Jeongin Seo Hana Lee Doyong Kim Hyunil Ha Taesoo Kim Myeong Seon Jeong Suree Kim Taesoo Kim Han Sung Kim Dongmin Kang Hyunbo Shim Soo Young Lee Department of Life Science Ewha Womans UniversitySeoul 03760South Korea The Research Center for Cellular Homeostasis Ewha Womans UniversitySeoul 03760South Korea Department of Biomedical Engineering Yonsei UniversityWonju 26493South Korea KM Convergence Research Division Korea Institute of Oriental MedicineDaejeon 34054South Korea Chuncheon Center Korea Basic Science InstituteChuncheon 24341South Korea Fluorescence Core Imaging Center and Bioimaging Data Curation Center Ewha Womans UniversitySeoul 03760South Korea Multitasking Macrophage Research Center Ewha Womans UniversitySeoul 03760South Korea

Mature osteoclasts degrade bone matrix by exocytosis of active proteases from secretory lysosomes through a ruffled ***,the molecular mechanisms underlying lysosomal trafficking and secretion in osteoclasts remain largely ***,we show with GeneChip analysis that RUN and FYVE domain-containing protein 4(RUFY4)is strongly upregulated during *** lacking Rufy4 exhibited a high trabecular bone mass phenotype with abnormalities in osteoclast function in ***,deleting Rufy4 did not affect osteoclast differentiation,but inhibited bone-resorbing activity due to disruption in the acidic maturation of secondary lysosomes,their trafficking to the membrane,and their secretion of cathepsin K into the extracellular ***,RUFY4 promotes late endosome-lysosome fusion by acting as an adaptor protein between Rab7 on late endosomes and LAMP2 on primary ***,Rufy4-deficient mice were highly protected from lipopolysaccharide-and ovariectomy-induced bone ***,RUFY4 plays as a new regulator in osteoclast activity by mediating endo-lysosomal trafficking and have a potential to be specific target for therapies against bone-loss diseases such as osteoporosis.

关键词： osteoclast inhibited traffic

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Multi-task Learning Graph Neural Networks for Cancer Prognosis Prediction with Genomic Data 46

Multi-task Learning Graph Neural Networks for Cancer Prognos...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Lin, Tsung-Wei Arriagada, Sofia Ormazabal Lin, Che Taiwan Taiwan International Graduate Program AIoT Ntu Taiwan Research Center for Information Technology Innovation Academia Sinica Taiwan Department of Electrical Engineering Ntu Taiwan Center for Advanced Computing and Imaging in Biomedicine Ntu Taiwan Smart Medicine and Health Informatics Program Ntu Taiwan

ISBN: (纸本)9798350371499

Providing robust prognosis predictions for cancers with limited data samples remains a challenge for precision oncology. In this study, we propose a novel approach that combines multi-task learning (MTL) and graph neural networks (GNNs) to address this issue. By representing gene-gene interactions as a graph network, our approach leverages multi-task learning to effectively capture the relationships of genes relevant to the oncogenesis and progression of breast, lung, and colon cancer. We demonstrate that our approach improves the cancer prognosis prediction for cancers with fewer samples, such as colon adenocarcinoma, by leveraging the shared gene-gene interactions across different cancer types, obtaining increases in the area under the precision-recall curve (AUPRC) of 24%. Our work contributes to the field of smart healthcare by demonstrating the potential of MTL and GNNs for enhancing cancer prognosis prediction, even with limited data samples. © 2024 IEEE.

关键词： Lung cancer

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BaTiO_(3)@Au nanoheterostructure suppresses triple-negative breast cancer by persistently disrupting mitochondrial energy metabolism

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Nano research 2023年第2期16卷 2775-2785页

作者： Yanlin Feng Jianlin Wang Xin Ning Aiyun Li Qing You Wanzhen Su Deping Wang Jianyun Shi Lan Zhou Fangfang Cao Xiaoyuan Chen Jimin Cao Key Laboratory of Cellular Physiology at Shanxi Medical University Ministry of Educationand the Department of PhysiologyShanxi Medical UniversityTaiyuan 030001China Departments of Diagnostic Radiology SurgeryChemical and Biomolecular Engineeringand Biomedical EngineeringYong Loo Lin School of Medicine and Faculty of EngineeringNational University of SingaporeSingapore 119074Singapore Clinical Imaging Research Centre Centre for Translational MedicineYong Loo Lin School of MedicineNational University of SingaporeSingapore 117599Singapore Nanomedicine Translational Research Program NUS Center for NanomedicineYong Loo Lin School of MedicineNational University of SingaporeSingapore 117597Singapore

Abnormal metabolism has become a potential target for highly malignant and invasive triple-negative breast cancer(TNBC)due to its relatively low response to traditional *** existing metabolic interventions demonstrated unsatisfactory therapeutic outcomes and potential systemic toxicity,resulting from the metabolic instability and limited targeting ability of inhibitors as well as complex tumor *** address these limitations,here we developed a robust pyroelectric BaTiO_(3)@Au core–shell nanostructure(BTO@Au)to selectively and persistently block energy generation of tumor *** by near-infrared(NIR)laser,the Au shell could generate heat to activate the BaTiO_(3)core to produce reactive oxygen species(ROS)regardless of the constrained microenvironment,thus prominently inhibits mitochondrial oxidative phosphorylation(OXPHOS)and reduces ATP production to induce TNBC cell *** therapeutic effects have been well demonstrated in vitro and in vivo,paving a new way for the development of metabolic interventions.

关键词： pyroelectric nanoheterostructure reactive oxidative species(ROS) metabolic interventions mitochondrial oxidative phosphorylation(OXPHOS) triple-negative breast cancer(TNBC)

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Low-intensity focused ultrasound stimulation promotes stroke recovery via astrocytic HMGB1 and CAMK2N1 in mice

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Stroke & Vascular Neurology 2024年第5期9卷 505-518页

作者： Lin Qi Cheng Wang Lidong Deng Jia-Ji Pan Qian Suo Shengju Wu Lin Cai Xudong Shi Junfeng Sun Yongting Wang Yaohui Tang Weibao Qiu Guo-Yuan Yang Jixian Wang Zhijun Zhang Shanghai Jiao Tong Affiliated Sixth People's Hospital School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiShanghaiChina Department of Neurosurgery Huashan HospitalShanghai Medical CollageFudan UniversityShanghaiChina Department of Neurosurgery Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong UniversityShanghaiChina Paul C.Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesBeijingChina Neuroscience and Neuroengineering Center Shanghai Jiao Tong University School of Biomedical EngineeringShanghaiChina Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital ShanghaiChina

Background Low-intensity focused ultrasound stimulation(LIFUS)has been developed to enhance neurological repair and remodelling during the late acute stage of ischaemic stroke in ***,the cellular and molecular mechanisms of neurological repair and remodelling after LIFUS in ischaemic stroke are *** Ultrasound stimulation was treated in adult male mice 7 days after transient middle cerebral artery *** was measured by laser speckle imaging and histological *** and fibre photometry records were used for *** atrophy volume and neurobehaviour were assessed 0–14 days after *** proteomic analysis was performed to explore the differentially expressed ***-seq was used for subcluster analysis of *** in situ hybridisation and Western blot detected the expression of HMGB1 and *** Optimal ultrasound stimulation increased cerebral blood flow,and improved neurobehavioural outcomes in ischaemic mice(p<0.05).iTRAQ proteomic analysis revealed that the expression of HMGB1 increased and CAMK2N1 decreased in the ipsilateral hemisphere of the brain at 14 days after focal cerebral ischaemia with ultrasound treatment(p<0.05).scRNA-seq revealed that this expression pattern belonged to a subcluster of astrocytes after LIFUS in the ischaemic *** upregulated HMGB1 expression,accompanied by VEGFA elevation compared with the control group(p<0.05).Inhibition of HMGB1 expression in astrocytes decreased microvessels counts and cerebral blood flow(p<0.05).LIFUS reduced CAMK2N1 expression level,accompanied by increased extracellular calcium ions and glutamatergic synapses(p<0.05).CAMK2N1 overexpression in astrocytes decreased dendritic spines,and aggravated neurobehavioural outcomes(p<0.05).Conclusion Our results demonstrated that LIFUS promoted angiogenesis and synaptogenesis after focal cerebral ischaemia by upregulating HMGB1 and downregulating CAMK2N1 in

关键词： stimulation behaviour intensity

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Mucoadhesive and antifouling Janus polysaccharide film for prevention of colorectal cancer recurrence post-surgery

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BMEMat(biomedical engineering Materials) 2024年第2期2卷 134-144页

作者： Jaebeom Lee Hee Seung Seo Chun Gwon Park Mikyung Shin Department of Intelligent Precision Healthcare Convergence Sungkyunkwan University(SKKU)SuwonRepublic of Korea Center for Neuroscience Imaging Research Institute for Basic Science(IBS)SuwonRepublic of Korea Department of Biomedical Engineering Sungkyunkwan University(SKKU)SuwonRepublic of Korea Biomaterials Research Center Korea Institute of Science and TechnologySeoulRepublic of Korea Biomedical Institute for Convergence Sungkyunkwan University(SKKU)SuwonRepublic of Korea

Colorectal cancer is one of the most common cancers,and current treatment options include surgery,chemotherapy,and radiation *** patients undergo surgery,which often requires extensive resection of the colon to prevent recurrence and metastasis of residual malignant tumor cells,leading to postoperative pain and discomfort in daily *** versatile therapeutic patches have been developed to induce tumor apoptosis,achieving both great adhesiveness on the mucus layers of the colon tissue and anti-cell/tissue adhesion to other surrounding organs remains a ***,we report a Janus polysaccharide film comprising two polymers:mussel-inspired catechol-conjugated chitosan(Chi-C)with muco-adhesiveness,and alginate(Alg)with anti-adhesion *** Chi-C and Alg polymers form a stably entangled bilayer film via electrostatic *** Janus film shows a strong tissue adhesive strength of~10 kPa for the Chi-C layer and weak strength of~1 kPa for the Alg ***,the Janus film encapsulating an anti-cancer drug exhibits a directional release profile to the tumor site,which is effective for triggering tumor death in in vivo colorectal tumor resection ***,such anti-cancer material strategies using bilayered structures are promising for advanced tumor therapy.

关键词： antifouling colon cancer mucoadhesive polysaccharide film

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Harnessing novel engineered feeder cells expressing activating molecules for optimal expansion of NK cells with potent antitumor activity

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Cellular & Molecular Immunology 2022年第2期19卷 296-298页

作者： Bokyung Min Bitna Yang You-Sun Kim Gyeong Min Park HyunAh Kim Hyojin Kim Eun-Ji Kim Yu Kyeong Hwang Eui-Cheol Shin Sungyoo Cho BioMedical Science and Engineering Interdisciplinary Program KAISTDaejeonKorea Cell Therapy Research Center GC LabCellYonginKorea Laboratory of Immunology and Infectious Diseases Graduate School of Medical Science and EngineeringKAISTDaejeonKorea

Natural killer(NK)cells play an important role in the antitumor immune response as the major cytotoxic lymphocytes in the innate immune *** cells without any genetic modifications have been used for both autologous and allogeneic ***,many reports have suggested that allogeneic NK cells can reduce the recurrence of disease and improve survival through a graft-versus-leukemia effect without GVHD[1,2].

关键词： killer expressing optimal

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