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Transferrin-Mediated Nanophotosensitizer to Enhance Phototherapy with Photoacoustic Imaging Under Hypoxia

CCS Chemistry 2025年第4期7卷 1127-1141页

作者： Mengyao Yang Yunyoung Nah Donghyeon Oh Xingshu Li Heejeong Kim Sinyoung Park Junha Lim Aibing Chen Chulhong Kim Won Jong Kim Juyoung Yoon College of Chemical and Pharmaceutical Engineering Hebei University of Science and TechnologyShijiazhuang 050018 Department of Chemistry and Nanoscience Ewha Womans UniversitySeoul 03760 Department of Chemistry POSTECH-Catholic Biomedical Engineering InstitutePOSTECHPohang 37673 Department of Electrical Engineering Convergence IT EngineeringMechanical Engineeringand Medical Science and EngineeringMedical Device Innovation CenterPOSTECHPohang 37673 Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy College of ChemistryFuzhou UniversityFuzhou 350108 School of Interdisciplinary Bioscience and Bioengineering POSTECHPohang 37673 Graduate Program in Innovative Biomaterials Convergence Ewha Womans UniversitySeoul 03760

Various obstacles[poor tissue penetration,hypoxic tumor microenvironment,and reactive oxygen species(ROS)production quenching due to aggregation]obstruct imaging-guided high-efficiency phototherapy targeting ***,nanophthalocyanine(ZnPcN4-TF)is elaborately designed based on a synthetic phthalocyanine derivative(ZnPcN4)and nonimmunogenic transferrin(TF)through multiple noncovalent interactions for photoacoustic(PA)imaging-guided *** conjugating electron-rich amino groups effectively suppressed fluorescence and ROS generation due to the strong photoinduced electron transfer effect,ZnPcN4 became an ideal photothermal and PA imaging ***4-TF not only effectively targeted tumor sites and accumulated there,but also,surprisingly,facilitated the enhancement of ROS production via a type I process in an aggregate compared to ZnPcN4 itself,potentially due to accelerated electron ***,ZnPcN4-TF had a substantially more powerful photothermal effect than ZnPcN4 ***,this design effectively overcomes the obstacles to photodynamic therapy(aggregation-related ROS generation quenching in a hypoxic environment).Furthermore,PA imaging solves the tissue penetration challenge in optical *** study provides a broader base for designing novel photosensitizers to improve phototherapy under hypoxia.

关键词： photoacoustic imaging type I reactive oxygen species photothermal effect tumor accumulation self-assembly

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Zwitterionic peptides:Tunable next-generation stealth nanoparticle modifications

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Bioactive Materials 2023年第9期27卷 113-124页

作者： Clyde Overby Soomin Park Austin Summers Danielle S.W.Benoit Department of Biomedical Engineering University of Rochester RochesterNYUSA Center for Musculoskeletal Research University of RochesterRochesterNYUSA Department of Biology University of Rochester RochesterNYUSA Department of Biology Duquesne UniversityPAUSA Department of Chemical Engineering University of RochesterRochesterNYUSA Materials Science Program University of RochesterRochesterNYUSA Knight Campus for Accelerating Scientific Impact Department of BioengineeringUniversity of OregonEugeneORUSA

Adsorption of proteins to nanoparticles(NPs),a complex process that results in a protein corona,is controlled by NP surface properties that define NP interactions in *** to control adsorbed protein quantity through surface modification have led to improvements in circulation time or ***,current approaches have yet to be identified to control adsorbed protein identities within the ***,we report the development and characterization of diverse zwitterionic peptides(ZIPs)for NP anti-fouling surface functionalization with specific and controllable affinity for protein adsorption profiles defined by ZIP *** serum exposure of ZIP-conjugated NPs and proteomics analysis of the resulting corona,we determined that protein adsorption profiles depend not on the exact composition of the ZIPs but on the sequence and order of charges along the sequence(charge motif).These findings pave the way for developing tunable ZIPs to orchestrate specific ZIP-NP protein adsorption profiles as a function of ZIP charge motif to better control cell and tissue specificity and pharmacokinetics and provide new tools for investigating relationships between protein corona and biological ***,overall ZIP diversity enabled by the diversity of amino acids may ameliorate adaptive immune responses.

关键词： Nanoparticles Protein corona Surface functionalization Peptide design Cellular uptake

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Characterization of Fluoride-added Hydroxyapatite Derived from Eggshells for Dental Application 15

Characterization of Fluoride-added Hydroxyapatite Derived fr...

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15th biomedical engineering International Conference, BMEiCON 2023

作者： Uthayaphamornwat, Vilasinee Khantachawana, Anak Kitiwan, Mettaya Srirussamee, Kasama Tunthawiroon, Phacharaphon School of Engineering Department of Biomedical Engineering Bangkok10520 Thailand Faculty of Engineering Department of Mechanical Engineering Bangkok10140 Thailand Biological Engineering Program Faculty of Engineering Bangkok10140 Thailand School of Science Department of Physics Bangkok10520 Thailand Devices and Systems for Energy and Environment Research Unit School of Science Bangkok10520 Thailand School of Engineering Department of Industrial Engineering Bangkok10520 Thailand

ISBN: (纸本)9798350345247

Hydroxyapatite (HA) is one of the potential biomaterials used for treating dental defects. It can be incorporated with fluoride to enhance its anti-caries properties, though other properties could be dependent on processing technique. Hence, this study aims to characterize the influence of sintering on the properties of fluoride-added HA derived from eggshells. FTIR and XRD techniques are used to characterize the chemical and crystal structures of the samples, whilst dissolution test is carried out to characterize material degradation in the acidic environment. The results show that sintering increased the crystallinity in both HA and fluoride-add HA (F-HA) samples, which corresponds with the enhanced stability during the dissolution test. Moreover, it is also found that the addition of fluoride could further stabilize the material structure, though the impurities found in all the samples still need to be minimized. These findings suggest that sintering and fluoride addition could potentially enhance anti-caries properties of eggshell-derived HA, which could be beneficial for dental application in future subject to further process optimization and analysis. © 2023 IEEE.

关键词： Hydroxyapatite

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GD2 is a Crucial Ganglioside in the Signal Modulation and Application as a Target of Cancer Therapeutics

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Cancer science 2025年第4期116卷 862-870页

作者： Furukawa, Koichi Ohmi, Yuhsuke Hamamura, Kazunori Ohkawa, Yuki Hashimoto, Noboru Tajima, Orie Kaneko, Kei Furukawa, Keiko Department of Biomedical Sciences Chubu University College of Life and Health Sciences Matsumoto Kasugai Japan Department of Molecular Biochemistry Nagoya University Graduate School of Medicine Nagoya Japan Department of Clinical Engineering Chubu University College of Life and Health Sciences Matsumoto Kasugai Japan Department of Pharmacology Aichi Gakuin University School of Dentistry Nagoya Japan Department of GlycoOncology Osaka International Cancer Center Institute Osaka Japan Department of Tissue Regeneration Tokushima University Graduate School of Biomedical Science Tokushima Japan

While various glycosphingolipids were identified as cancer-associated carbohydrate antigens to be used as tumor markers, disialylated gangliosides such as GD3 and GD2 have particularly attracted attention from many researchers as promising cancer-associated antigens. Simultaneously, their functions in cancer and normal tissues have also been reported. Although GD3 is expressed at the early neural developmental stage and in various cancers, it is also found in the activated status of some normal cells such as astrocytes and lymphocytes. On the other hand, GD2 is expressed in more restricted cells than GD3, enabling anti-GD2 immune therapy to be more applicable for immunotherapy. Recently, the expression of GD2 has been reported in various epithelial cancers and neuroectoderm-derived tumors. The involvement of GD2 in cancer stem cell propertiesand the roles of GD2 in the signal modulation to bring about cancer stemness are now some of the most fascinating research topics. Cancer immunotherapy targeting GD2 by anti-GD2 antibody or anti-GD2 CAR-T is now widely being challenged with various modifications such as combination with cytokines, chemotherapy, or immune checkpoint blocking. © 2025 The Author(s). Cancer science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

关键词： cancer antigen ganglioside immunotherapy lipid rafts signal

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engineering LNPs with polysarcosine lipids for mRNA delivery

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Bioactive Materials 2024年第7期37卷 86-93页

作者： Diana D.Kang Xucheng Hou Leiming Wang Yonger Xue Haoyuan Li Yichen Zhong Siyu Wang Binbin Deng David W.McComb Yizhou Dong Icahn Genomics Institute Precision Immunology InstituteDepartment of Immunology and ImmunotherapyDepartment of Oncological SciencesTisch Cancer InstituteFriedman Brain InstituteBiomedical Engineering and Imaging InstituteIcahn School of Medicine at Mount SinaiNew YorkNY10029USA Division of Pharmaceutics&Pharmacology College of PharmacyThe Ohio State UniversityColumbusOH43210USA Center for Electron Microscopy and Analysis The Ohio State UniversityColumbusOH43212USA Department of Materials Science and Engineering The Ohio State UniversityColumbusOH43210USA

Since the approval of the lipid nanoparticles(LNP)-mRNA vaccines against the SARS-CoV-2 virus,there has been an increased interest in the delivery of mRNA through ***,current LNP formulations contain PEG lipids,which can stimulate the generation of anti-PEG *** presence of these antibodies can potentially cause adverse reactions and reduce therapeutic efficacy after *** the widespread deployment of the COVID-19 vaccines,the increased exposure to PEG may necessitate the evaluation of alternative LNP formulations without PEG *** this study,we investigated a series of polysarcosine(pSar)lipids as alternatives to the PEG lipids to determine whether pSar lipids could still provide the functionality of the PEG lipids in the ALC-0315 and SM-102 LNP *** found that complete replacement of the PEG lipid with a pSar lipid can increase or maintain mRNA delivery efficiency and exhibit similar safety profiles in vivo.

关键词： Lipid nanoparticles mRNA Polyethylene glycol(PEG) Polysarcosine(pSar)

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A Comprehensive Technique Based on Machine Learning for Device and Circuit Modeling of Gate-All-Around Nanosheet Transistors

IEEE Open Journal of Nanotechnology

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IEEE Open Journal of Nanotechnology 2023年 4卷 181-194页

作者： Butola, Rajat Li, Yiming Kola, Sekhar Reddy National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Institute of Communications Engineering the Institute of Biomedical Engineering the Department of Electronics and Electrical Engineering the Institute of Pioneer Semiconductor Innovation and the Institute of Artificial Intelligence Innovation Hsinchu300093 Taiwan

Machine learning (ML) is poised to play an important part in advancing the predicting capability in semiconductor device compact modeling domain. One major advantage of ML-based compact modeling is its ability to capture complex relationships and patterns in large datasets. Therefore, in this paper a novel design scheme based on dynamically adaptive neural network (DANN) is proposed to develop fast and accurate compact model (CM). This framework constitutes a powerful yet computationally efficient methodology and exhibits emergent dynamic behaviors. This paper demonstrates that the compact model based on ML can be designed to replicate the performance of conventional compact model for nanodevices. For this work, gate-all-around (GAA) nanosheet (NS) device characteristics are comprehensively analyzed for process variability sources using the proposed model. The device geometry parameters such as channel length, nanosheet width and nanosheet thickness are fed as input features to the DANN model. The adaptive neural network learns dynamically by updating weights of the model in accordance with the input features and achieves accurate neural weight convergence. The proposed model predicted the electrical characteristics of NS devices with less than 1% error rate. The model is also implemented and validated for the simulations of digital circuit designs such as inverter, and logic gates. ©;2023 The Authors.

关键词： Circuit simulation

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Understanding age-related middle ear properties and basilar membrane damage in hearing loss: A finite element analysis and retrospective cohort study

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Computers in Biology and Medicine 2025年 184卷 109376-109376页

作者： Shih, Tzu-Ching Yu, You-Cheng Wang, Tang-Chuan Department of Biomedical Imaging and Radiological Science College of Medicine China Medical University Taichung404328 Taiwan The PhD Program for Medical Engineering and Rehabilitation Science College of Biomedical Engineering China Medical University Taichung404328 Taiwan Master Program for Biomedical Engineering College of Biomedical Engineering China Medical University Taichung404328 Taiwan Department of Otolaryngology-Head and Neck Surgery China Medical University Hsinchu Hospital Zhubei City Hsinchu302056 Taiwan

Age-related hearing loss (ARHL) is primarily attributed to inner-ear factors, yet the role of age-related middle ear characteristics remains elusive. Employing a finite element (FE) model, we conducted a comparative analysis with clinical data extracted from a retrospective cohort study involving 90 younger adults (mean age = 38.1 ± 7.7) and 111 older adults (mean age = 63.8 ± 8.4). The clinical dataset encompassed air-bone gap (ABG) measurements obtained through pure-tone audiometry (PTA) at frequencies of 0.5, 1.0, 2.0, and 4.0 kHz. FE results quantified the normalized stapes displacement value of the simulated form of air-bone gap (ABGSim) between the two age groups. The Mann-Whitney U test, with a significance threshold set at P © 2024

关键词： Bone

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Mitochondria-specific near-infrared photoactivation of peroxynitrite upconversion luminescent nanogenerator for precision cancer gas therapy

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Acta Pharmaceutica Sinica B 2024年第1期14卷 378-391页

作者： Hui Yu Aliya Tiemuer Xufeng Yao Mingyuan Zuo Hai-Yan Wang Yi Liu Xiaoyuan Chen Department of Biomedical Engineering School of EngineeringChina Pharmaceutical UniversityNanjing 211198China School of Mechanical Engineering Southeast UniversityNanjing 211189China Departments of Diagnostic Radiology SurgeryChemical and Biomolecular Engineeringand Biomedical EngineeringYong Loo Lin School of Medicine and College of Design and 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 Yong Loo Lin School of MedicineNational University of SingaporeSingapore 117597Singapore Institute of Molecular and Cell Biology Agency for ScienceTechnologyand Research(A*STAR)ProteosSingapore 138673Singapore

Gas therapy is emerging as a highly promising therapeutic strategy for cancer ***,there are limitations,including the lack of targeted subcellular organelle accuracy and spatiotemporal release precision,associated with gas *** this study,we developed a series of photoactivatable nitric oxide(NO)donors NRh-R-NO(R=Me,Et,Bn,iPr,and Ph)based on an N-nitrosated upconversion luminescent rhodamine *** the irradiation of 808 nm light,only NRh-Ph-NO could effectively release NO and NRh-Ph with a significant turn-on frequency upconversion luminescence(FUCL)signal at 740 nm,ascribed to lower N-N bond dissociation *** also investigated the involved multistage near-infrared-controlled cascade release of gas therapy,including the NO released from NRh-Ph-NO along with one NRh-Ph molecule generation,the superoxide anion O_(2)^(⋅−)produced by the photodynamic therapy(PDT)effect of NRh-Ph,and highly toxic peroxynitrite anion(ONOO‒)generated from the co-existence of NO and O_(2)^(⋅−).After mild nano-modification,the nanogenerator(NRh-Ph-NO NPs)empowered with superior biocompatibility could target *** an 808 nm laser irradiation,NRh-Ph-NO NPs could induce NO/ROS to generate RNS,causing a decrease in the mitochondrial membrane potential and initiating apoptosis by caspase-3 activation,which further induced tumor immunogenic cell death(ICD).In vivo therapeutic results of NRh-Ph-NO NPs showed augmented RNS-potentiated gas therapy,demonstrating excellent biocompatibility and effective tumor inhibition guided by real-time FUCL ***,this versatile strategy defines the targeted RNS-mediated cancer therapy.

关键词： Near infrared Photo-triggered Mitochondrion Upconversion luminescent bioimaging Peroxynitrite Nanogenerator Gas therapy In vivo

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Overcoming the Blood-Brain Tumor Barrier with Docetaxel-Loaded Mesoporous Silica Nanoparticles for Treatment of Temozolomide-Resistant Glioblastoma

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ACS Applied Materials and Interfaces 2024年第17期16卷 21722-21735页

作者： Hsu, Tsung-I Chen, Yi-Ping Zhang, Rong-Lin Chen, Zih-An Wu, Cheng-Hsun Chang, Wen-Chang Mou, Chung-Yuan Chan, Hardy Wai-Hong Wu, Si-Han Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University and National Health Research Institutes Taipei110 Taiwan International Master Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University Taipei110 Taiwan Graduate Institute of Nanomedicine and Medical Engineering Taipei Medical University Taipei110 Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei110 Taiwan Nano Targeting & Therapy Biopharma Inc. Taipei110 Taiwan Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei110 Taiwan Department of Chemistry National Taiwan University Taipei106 Taiwan

While temozolomide (TMZ) has been a cornerstone in the treatment of newly diagnosed glioblastoma (GBM), a significant challenge has been the emergence of resistance to TMZ, which compromises its clinical benefits. Additionally, the nonspecificity of TMZ can lead to detrimental side effects. Although TMZ is capable of penetrating the blood-brain barrier (BBB), our research addresses the need for targeted therapy to circumvent resistance mechanisms and reduce off-target effects. This study introduces the use of PEGylated mesoporous silica nanoparticles (MSN) with octyl group modifications (C8-MSN) as a nanocarrier system for the delivery of docetaxel (DTX), providing a novel approach for treating TMZ-resistant GBM. Our findings reveal that C8-MSN is biocompatible in vitro, and DTX@C8-MSN shows no hemolytic activity at therapeutic concentrations, maintaining efficacy against GBM cells. Crucially, in vivo imaging demonstrates preferential accumulation of C8-MSN within the tumor region, suggesting enhanced permeability across the blood-brain tumor barrier (BBTB). When administered to orthotopic glioma mouse models, DTX@C8-MSN notably prolongs survival by over 50%, significantly reduces tumor volume, and decreases side effects compared to free DTX, indicating a targeted and effective approach to treatment. The apoptotic pathways activated by DTX@C8-MSN, evidenced by the increased levels of cleaved caspase-3 and PARP, point to a potent therapeutic mechanism. Collectively, the results advocate DTX@C8-MSN as a promising candidate for targeted therapy in TMZ-resistant GBM, optimizing drug delivery and bioavailability to overcome current therapeutic limitations. © 2024 The Authors. Published by American Chemical Society.

关键词： Tumors

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A Preliminary Investigation into Use of Admission-Recorded Photoplethysmograms for Predicting Hospital Mortality in Children with Confirmed or Suspected Infection in Resource-Poor Settings

A Preliminary Investigation into Use of Admission-Recorded P...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Rahimi, Mahan Wiens, Matthew O. Kabakyenga, Jerome Ansermino, J. Mark Dumont, Guy A. University of British Columbia School of Biomedical Engineering Vancouver Canada University of British Columbia Department of Anesthesiology Pharmacology and Therapeutics Vancouver Canada Mbarara University of Science and Technology Department of Community Health Mbarara Uganda University of British Columbia Department of Electrical and Computer Engineering Vancouver Canada

ISBN: (纸本)9798350337488

Although there have been notable advances in child survival, the rate of infection-related hospital fatalities remains high among pediatric patients in resource-limited settings. Hence, the critical need for enhancing child survival demands immediate attention. Present risk prediction tools for in-hospital complications have been developed through statistical modelling methods and exhibit specific constraints. This study sought to create and compare an array of machine learning-based models using admission-recorded information to predict all-cause in-patient death in two cohorts of children in Uganda: those under 6 months and those aged between 6 and 60 months. 190 (7.0%) out of 2,698 children under six months and 164 (4.3%) out of 3,835 children over six months of age died following admission. For each cohort, five supervised machine learning algorithms were trained and internally validated on 67% and 33% of the data, respectively. The models incorporated demographics, clinical variables, and photoplethysmography-extracted features as inputs. The balanced random forest classifier demonstrated superior performance on the test set in both cohorts. In the first cohort, the model achieved a sensitivity of 0.95, specificity of 0.71, positive predictive value (PPV) of 0.15, and negative predictive value (NPV) of 0.99. Comparing this to the model that exclusively utilized demographic and clinical parameters, an increase of 14.5% was observed in sensitivity, while specificity and PPV experienced reductions of 4% and 11.8%, respectively. NPV, however, remained unchanged. In the second cohort, the model's sensitivity was 0.75, with a specificity of 0.73, a PPV of 0.08, and an NPV of 0.99. Upon training the model with only demographic and clinical variables in this cohort, the corresponding metrics were 0.67, 0.76, 0.09, and 0.98, respectively. By integrating photoplethysmography data with machine learning algorithms, it may be possible to develop predictive models that can i

关键词： classification developing countries hospital mortality infectious illness machine learning mobile health pediatric sepsis photoplethysmography predictive model

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