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Cancer cell membrane camouflaged biomimetic gelatin-based nanogel for tumor inhibition

Chinese Chemical Letters 2024年第11期35卷 389-394页

作者： Yuanzheng Wang Chen Zhang Shuyan Han Xiaoli Kong Changyun Quan Jun Wu Wei Zhang Department of Orthopedics Guizhou Provincial People's HospitalGuiyang 550000China Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instruments(Sun Yat-sen University) School of Biomedical EngineeringSun Yat-sen UniversityGuangzhou 510006China Department of Nephrology Center of Kidney and UrologyThe Seventh Affiliated HospitalSun Yat-sen UniversityShenzhen 518107China Bioscience and Biomedical Engineering Thrust The Hong Kong University of Science and Technology(Guangzhou)Guangzhou 511400China Division of Life Science The Hong Kong University of Science and TechnologyHong Kong SAR 999077China Department of Outpatient The First Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510080China

Enhancing the active tumor targeting ability and decreasing the clearance of reticuloendothelial system(RES)are important issues for drug delivery systems(DDSs)in cancer *** recent years,cell membrane camouflage,as one of the biomimetic modification strategies,has shown huge *** natural properties of source cells can be inherited,allowing the DDSs to successfully avoid phagocytosis by macrophages,prolong circulation time,and achieve homologous targeting to lesion *** this study,a cancer cell membrane camouflaged nanoplatform based on gelatin with a typical core-shell structure was developed for cancer ***(DOX)loaded gelatin nanogel(NG@DOX)acted as the inner core,and 4T1(mouse breast carcinoma cell)membrane was set as the outer shell(M-NG@DOX).The M-NG platform enhanced the ability of homologous targeting due to the surface protein of cell membrane being completely retained,which could promote the cell uptake of homotypic cells,avoid phagocytosis by RAW264.7 macrophages,and therefore increase accumulation in tumor ***,due to the better controlled drug release capability of M-NG@DOX,premature release of DOX in circulation could be reduced,minimizing side effects in common *** a result,the biomimetic nanoplatform in this study,obtained by a cancer cell membrane camouflaged drug delivery system,efficiently reached desirable tumor elimination,providing a significant strategy for effective targeted therapy and specific carcinoma therapy.

关键词： Cell membrane camouflage Biomimetic Gelatin nanogel Drug delivery Tumor therapy

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Advancing neural regeneration via adaptable hydrogels:Enriched with Mg^(2+) and silk fibroin to facilitate endogenous cell infiltration and macrophage polarization

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Bioactive Materials 2024年第3期33卷 100-113页

作者： Yisheng Gao Yingyu Wang Jianye Zhang Miao Zhang Chaolun Dai Yang Zhang Luzhong Zhang Liming Bian Yumin Yang Kunyu Zhang Yahong Zhao Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education Co-innovation Center of NeuroregenerationNMPA Key Laboratory for Research and Evaluation of Tissue Engineering Technology ProductsNantong UniversityNantong226001PR China Department of Physics and Astronomy School of Natural ScienceThe University of ManchesterManchesterM139PLUK Medical School Nantong UniversityNantong226001PR China School of Biomedical Sciences and Engineering South China University of TechnologyGuangzhou International CampusGuangzhou511442PR China National Engineering Research Center for Tissue Restoration and Reconstruction South China University of TechnologyGuangzhou510006PR China Guangdong Provincial Key Laboratory of Biomedical Engineering South China University of TechnologyGuangzhou510006PR China Key Laboratory of Biomedical Materials and Engineering of the Ministry of Education South China University of TechnologyGuangzhou510006PR China

Peripheral nerve injury is a complex and challenging medical condition due to the limited ability of nerves to regenerate, resulting in the loss of both sensory and motor function. Hydrogels have emerged as a promising biomaterial for promoting peripheral nerve regeneration, while conventional hydrogels are generally unable to support endogenous cell infiltration due to limited network dynamics, thereby compromising the therapeutic outcomes. Herein, we present a cell adaptable hydrogel containing a tissue-mimetic silk fibroin network and a dynamically crosslinked bisphosphonated-alginate network. The dynamic network of this hydrogel can respond to cell-generated forces to undergo the cell-mediated reorganization, thereby effectively facilitating the rapid infiltration of Schwann cells and macrophages, as well as the ingrowth of axons. We further show that the magnesium ions released from the hydrogel not only promote neurite outgrowth but also regulate the polarization of macrophages in a sequential manner, contributing to the formation of a regenerative microenvironment. Therefore, this hydrogel effectively prevents muscle atrophy and promotes the regeneration and functional recovery of nerve defects of up to 10 mm within 8 weeks. The findings from this study demonstrate that adaptable hydrogels are promising inductive biomaterials for enhancing the therapeutic outcomes of peripheral nerve injury treatments.

关键词： Adaptable hydrogels Magnesium Cell infiltration Regenerative microenvironment Peripheral nerve repair

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Effect of Different Titanium Surface Treatments on the Adhesion Test Result:Dental Application

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Journal of Wuhan University of technology(Materials Science) 2023年第1期38卷 255-259页

作者： Alireza Valanezhad Masayoshi Suzue Sirus Safaee Mahdis Nesabi Mohammad Khodaei Shigeaki Abe Ikuya Watanabe Department of Dental and Biomedical Materials Science Nagasaki UniversityNagasakiJapan Medical Education Development Center Nagasaki University HospitalNagasakiJapan Materials Engineering Group Golpayegan College of EngineeringIsfahan University of TechnologyGolpayegan 87717-67498Iran

The aim of the study was to investigate the effect of different surface treatment of titanium(Ti)on the adhesion test results for dental *** substrates roughened by 400 to 1500-grit SiC polish papers and alumina blasting,alkali treated by 5 molar(M)NaOH and KOH solutions and heat treated at the temperature range of 400-800℃were used in this *** treated samples were subjected to the adhesion *** to the results of the adhesion test,the adhesive strength showed the highest value for the blasted titanium among all polished and blasted *** Ti samples heated at 650℃showed the highest adhesive strength among all heat-treated ***,the adhesion test results indicated the higher adhesive strength of chemically treated samples treated by NaOH rather than that by *** polished and heated Ti samples showed the highest adhesive strength among all samples.

关键词： titanium implant surface treatment bonding strength anatase rutile

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Nanoparticles-based phototherapy systems for cancer treatment: Current status and clinical potential

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Bioactive Materials 2023年第5期23卷 471-507页

作者： Jiachen Li Shiqi Wang Flavia Fontana Christos Tapeinos Mohammad-Ali Shahbazi Huijie Han Helder A.Santos Department of Biomedical Engineering W.J.Kolff Institute for Biomedical Engineering and Materials ScienceUniversity Medical Center GroningenUniversity of GroningenAnt.Deusinglaan 1Groningen9713 AVthe Netherlands W.J.Kolff Institute for Biomedical Engineering and Materials Science University Medical Center GroningenUniversity of GroningenUniversity of GroningenAntonius Deusinglaan 19713 AVGroningenthe Netherlands Drug Research Program Division of Pharmaceutical Chemistry and Technology Faculty of PharmacyUniversity of HelsinkiHelsinkiFI-00014Finland

Remarkable progress in phototherapy has been made in recent decades,due to its non-invasiveness and instant therapeutic *** addition,with the rapid development of nanoscience and nanotechnology,phototherapy systems based on nanoparticles or nanocomposites also evolved as an emerging hotspot in nanomedicine research,especially in *** this review,first we briefly introduce the history of phototherapy,and the mechanisms of phototherapy in cancer ***,we summarize the representative development over the past three to five years in nanoparticle-based phototherapy and highlight the design of the innovative nanoparticles ***,we discuss the feasibility and the potential of the nanoparticle-based phototherapy systems in clinical anticancer therapeutic applications,aiming to predict future research directions in this *** review is a tutorial work,aiming at providing useful insights to researchers in the field of nanotechnology,nanoscience and cancer.

关键词： Phototherapy Cancer Nanoparticles Therapeutic effect Clinical potential

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Accurate scoliosis vertebral landmark localization on X-ray images via shape-constrained multi-stage cascaded CNNs

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Fundamental Research 2024年第6期4卷 1657-1665页

作者： Zhiwei Wang Jinxin Lv Yunqiao Yang Yi Lin Qiang Li Xin Li Xin Yang Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan 430074China MoE Key Laboratory for Biomedical Photonics Collaborative Innovation Center for Biomedical EngineeringHuazhong University of Science and TechnologyWuhan 430074China Department of Computer Science City University of Hong KongHong Kong 999077China Department of Computer Science and Engineering The Hong Kong University of Science and TechnologyHong Kong 999077China Department of Radiology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China School of Electronic Information and Communications Huazhong University of Science and TechnologyWuhan 430074China

Vertebral landmark localization is a crucial step in various spine-related clinical applications,which requires detecting the corner points of 17 ***,the neighboring landmarks often disturb each other because of the homogeneous appearance of vertebrae,making vertebral landmark localization extremely *** this paper,we propose a multi-stage cascaded convolutional neural network(CNN)to split a single task into two sequential steps:center point localization to roughly locate 17 center points of vertebrae,and corner point localization to determine four corner points for each vertebra without any *** landmarks in each step were located gradually from a set of initialized points by regressing offsets using cascaded *** resist the mutual attraction of the vertebrae,principal component analysis was employed to preserve the shape constraint in offset *** evaluated our method on the AASCE dataset,comprising 609 tight spinal anteroposterior X-ray images,and each image contained 17 vertebrae composed of the thoracic and lumbar spine for spinal shape *** experimental results demonstrated the superior performance of vertebral landmark localization over other state-of-the-art methods,with the relative error decreasing from 3.2e−3 to 7.2e−4.

关键词： Vertebra X-ray Landmark localization Multi-stage Cascade Shape constraint

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Assessment of Musculoskeletal Loads in Three Types of Body Posture According to Dolphens 21st

Assessment of Musculoskeletal Loads in Three Types of Body ...

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21st Scientific Conference on Medical and Sport Technologies, 2024

作者： Nowakowska-Lipiec, Katarzyna Sośniak, Paulina Zadoń, Hanna Jochymczyk-Woźniak, Katarzyna Bibrowicz, Karol Szurmik, Tomasz Mitas, Andrzej W. Michnik, Robert Department of Biomechatronics Faculty of Biomedical Engineering Silesian University of Technology Roosevelta 40 Zabrze41-800 Poland Faculty of Biomedical Engineering Students Scientific Circle "Biokreatywni" Silesian University of Technology Zabrze Poland Science and Research Center of Body Posture College of Education and Therapy in Poznań Poznań Poland Faculty of Arts and Educational Science University of Silesia Cieszyn Poland Department of Medical Informatics and Artificial Intelligence Faculty of Biomedical Engineering Silesian University of Technology Zabrze Poland

ISBN: (纸本)9783031821424

This study aimed to evaluate the effect of body posture type according to the Dolphens on musculoskeletal loads. There are three types of posture: neutral, swayback and lordotic according to Dolphens classification. The study involved a group of 29 subjects. Assessment of body posture was carried out using the Posture Photographic Assessment System. The following parameters were measured for each subject: pelvic tilt angle, lumbosacral and thoracolumbar tilt, upper kyphosis tilt angle. The position of the joints and individual body segments in relation to the vertical axis, the position of the centre of mass of the body and the values of the ground reaction forces were determined. The results obtained provided the input for the modelling of the posture of each person in the AnyBody Modelling System. A full-body Standing Model was used. The model was scaled to the weight and height of each subject. The highest values of lumbar loads were observed in subjects with a kyphotic posture. For those with a kyphotic posture, the average resultant force at the L5-S1 level was 0.97 ± 0.31 BW (BW - body weight). For those with a lordotic posture it was 0.87 ± 0.27 BW and for those with a neutral posture it was 0.86 ± 0.15 BW. Subjects with a kyphotic posture had the highest values for the compressive component of the force at the L5-S1 joint (0.96 ± 0.31 BW). The highest shear force values were obtained for the lordotic posture (0.1 ± 0.04 BW). The study also assessed the force values of the abdominal and dorsal muscles. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Physiological models

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Screening COVID-19 from chest X-ray images by an optical diffractive neural network with the optimized F number

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Photonics Research 2024年第7期12卷 1410-1426页

作者： JIALONG WANG SHOUYU CHAI WENTING GU BOYI LI XUE JIANG YUNXIANG ZHANG HONGEN LIAO XIN LIU DEAN TA Academy for Engineering and Technology Fudan UniversityShanghai 200433China Center for Biomedical Engineering Fudan UniversityShanghai 200433China Department of Chemistry Fudan UniversityShanghai 200433China Department of Biomedical Engineering School of MedicineTsinghua UniversityBeijing 100084China

The COVID-19 pandemic continues to significantly impact people's lives worldwide, emphasizing the critical need for effective detection methods. Many existing deep learning-based approaches for COVID-19 detection offer high accuracy but demand substantial computing resources, time, and energy. In this study, we introduce an optical diffractive neural network(ODNN-COVID), which is characterized by low power consumption, efficient parallelization, and fast computing speed for COVID-19 detection. In addition, we explore how the physical parameters of ODNN-COVID affect its diagnostic performance. We identify the F number as a key parameter for evaluating the overall detection capabilities. Through an assessment of the connectivity of the diffractive network, we established an optimized range of F number, offering guidance for constructing optical diffractive neural networks. In the numerical simulations, a three-layer system achieves an impressive overall accuracy of 92.64% and 88.89% in binary-and threeclassification diagnostic tasks. For a single-layer system, the simulation accuracy of 84.17% and the experimental accuracy of 80.83% can be obtained with the same configuration for the binary-classification task, and the simulation accuracy is 80.19% and the experimental accuracy is 74.44% for the three-classification task. Both simulations and experiments validate that the proposed optical diffractive neural network serves as a passive optical processor for effective COVID-19 diagnosis, featuring low power consumption, high parallelization, and fast computing capabilities. Furthermore, ODNN-COVID exhibits versatility, making it adaptable to various image analysis and object classification tasks related to medical fields owing to its general architecture.

关键词： neural network offering

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Panicle-3D: A low-cost 3D-modeling method for rice panicles based on deep learning, shape from silhouette, and supervoxel clustering

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The Crop Journal 2022年第5期10卷 1386-1398页

作者： Dan Wu Lejun Yu Junli Ye Ruifang Zhai Lingfeng Duan Lingbo Liu Nai Wu Zedong Geng Jingbo Fu Chenglong Huang Shangbin Chen Qian Liu Wanneng Yang Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronicsand Key Laboratory of Ministry of Education for Biomedical PhotonicsDepartment of Biomedical EngineeringHuazhong University of Science and TechnologyWuhan 430074HubeiChina School of Biomedical Engineering Hainan UniversityHaikou 570228HainanChina National Key Laboratory of Crop Genetic Improvement National Center of Plant Gene ResearchHuazhong Agricultural UniversityWuhan 430070HubeiChina

Self-occlusions are common in rice canopy images and strongly influence the calculation accuracies of panicle traits. Such interference can be largely eliminated if panicles are phenotyped at the 3 D *** on 3 D panicle phenotyping has been limited. Given that existing 3 D modeling techniques do not focus on specified parts of a target object, an efficient method for panicle modeling of large numbers of rice plants is lacking. This paper presents an automatic and nondestructive method for 3 D panicle modeling. The proposed method integrates shoot rice reconstruction with shape from silhouette, 2 D panicle segmentation with a deep convolutional neural network, and 3 D panicle segmentation with ray tracing and supervoxel clustering. A multiview imaging system was built to acquire image sequences of rice canopies with an efficiency of approximately 4 min per rice plant. The execution time of panicle modeling per rice plant using 90 images was approximately 26 min. The outputs of the algorithm for a single rice plant are a shoot rice model, surface shoot rice model, panicle model, and surface panicle model, all represented by a list of spatial coordinates. The efficiency and performance were evaluated and compared with the classical structure-from-motion algorithm. The results demonstrated that the proposed method is well qualified to recover the 3 D shapes of rice panicles from multiview images and is readily adaptable to rice plants of diverse accessions and growth stages. The proposed algorithm is superior to the structure-from-motion method in terms of texture preservation and computational efficiency. The sample images and implementation of the algorithm are available online. This automatic, cost-efficient, and nondestructive method of 3 D panicle modeling may be applied to high-throughput 3 D phenotyping of large rice populations.

关键词： Panicle phenotyping Deep convolutional neural network 3D reconstruction Shape from silhouette Point-cloud segmentation Ray tracing Supervoxel clustering

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Effect of La on the Corrosion Behavior and Mechanism of 3Ni Weathering Steel in a Simulated Marine Atmospheric Environment

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Acta Metallurgica Sinica(English Letters) 2024年第2期37卷 308-324页

作者： Gang Niu Rui Yuan R.D.K.Misra Na Gong Zhi-Hui Zhang Hao-Xiu Chen Hui-Bin Wu Cheng-Jia Shang Xin-Ping Mao Collaborative Innovation Center of Steel Technology University of Science and Technology BeijingBeijing100083China Laboratory for Excellence in Advanced Steel Research Department of MetallurgicalMaterials and Biomedical EngineeringUniversity of Texas at El PasoEl PasoTX79968USA Institute of Materials Research and Engineering Agency for ScienceTechnologyand ResearchSingapore138634Singapore Department of Materials Science and Engineering University of TorontoTorontoONM5S 3E4Canada

The corrosion behavior and mechanism of 3Ni weathering steel in a simulated oceanic atmospheric environment are investigated in order to comprehend the impacts of La,as determined through electrochemical analysis and rust layer *** results of this study demonstrate that the addition of La enhances the corrosion resistance of 3Ni weathering steel in the marine atmospheric environment,thereby reducing the corrosion rate and improving the protection of the rust *** influence of La on corrosion resistance can be attributed to two primary ***,La functions as a grain refiner,minimizing the potential difference of the micro-regions on the substrate surface,thereby significantly reducing the corrosion of bare steel in the marine ***,La inhibits the process of Fe_(3)O_(4) oxidation back toγ-FeOOH during corrosion at the local site,thus decreasing the formation ofγ-FeOOH and enhancing the charge transfer *** research work may serve as a reference for expanding the application of rare earth elements in the field of weathering steel.

关键词： Weathering steel Rare earth Rust layer Corrosion behavior Corrosion resistance

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Computer-aided Detection of Tuberculosis from Microbiological and Radiographic Images

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Data Intelligence 2023年第4期5卷 1008-1032页

作者： Abdullahi Umar Ibrahim Ayse Gunnay Kibarer Fadi Al-Turjman Department of Biomedical Engineering Near East UniversityNicosiaMersin 10Turkey Research Center for Al and loT Faculty of EngineeringUniversity of KyreniaMersin 10Turkey Artificial Intelligence Engineering Dept. Al and Robotics InstituteNear East UniversityMersin 1Turkey

Tuberculosis caused by Mycobacterium tuberculosis have been a major challenge for medical and healthcare sectors in many underdeveloped countries with limited diagnosis *** can be detected from microscopic slides and chest X-ray but as a result of the high cases of tuberculosis,this method can be tedious for both Microbiologists and Radiologists and can lead to *** challenges can be solved by employing Computer-Aided Detection(CAD)via Al-driven models which learn features based on convolution and result in an output with high *** this paper,we described automated discrimination of X-ray and microscope slide images into tuberculosis and non-tuberculosis cases using pretrained AlexNet *** study employed Chest X-ray dataset made available on Kaggle repository and microscopic slide images from both Near East University Hospital and Kaggle *** classification of tuberculosis using microscopic slide images,the model achieved 90.56%accuracy,97.78%sensitivity and 83.33%specificity for 70:30 *** classification of tuberculosis using X-ray images,the model achieved 93.89%accuracy,96.67%sensitivity and 91.11%specificity for 70:30 *** result is in line with the notion that CNN models can be used for classifying medical images with higher accuracy and precision.

关键词： Tuberculosis Deep Learning Pretrained AlexNet Chest X-ray Microscopic slide

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