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Nanoparticle-based sustained drug delivery for the treatment of ocular neovascular diseases

ACTA OPHTHALMOLOGICA 2024年第S279期102卷

作者： Durak, Saliha Kutlu, Ozlem Cetinel, Sibel Nanotechnology Research and Application Center (SUNUM) Sabanci University Istanbul Turkey Faculty of Engineering and Natural Sciences Molecular Biology Genetics and Bioengineering Program Sabanci University Istanbul Turkey

Aims/Purpose: Nanoparticles have shown great potential as a drug delivery system for the treatment of neovascular ocular diseases characterized by the growth of abnormal blood vessels in the retina. The current standard of therapy for neovascular ocular diseases involves administering monoclonal antibody-based anti-VEGF drugs via intravitreal injections on a periodic basis. The short half-lives of these drugs necessitate frequent injections, which can limit the effectiveness of the treatments. Hence, there is a need to develop new approaches for enhanced bioavailability and sustained and long-lasting delivery of anti-VEGF drugs. The aim of this study was to utilize poly (glycerol sebacate) (PGS) nanoparticles to achieve an extended release of anti-VEGF (anti-vascular endothelial growth factor) drugs, with the objective of reducing the frequency of intravitreal injections required for treatment. Methods: Double emulsion solvent evaporation method was utilized for the synthesis of PGS nanoparticles. Nanoparticle size and polydispersity index (PDI) were determined with dynamic light scattering method. Results: Nanoparticles were synthesized with a size of approximately 150 nm and PDI less than 0.3. The encapsulation efficiency of nanoparticles loaded with anti-VEGF drugs was found to be 74%. The 30% drug release from nanoparticles in the first 2 months indicates that nanoparticles are a promising candidate for sustained drug release applications. Cell-viability studies showed that anti-VEGF drug-loaded nanoparticles did not exhibit toxicity to ARPE-19 cells, but they did exhibit anti-angiogenesis properties by inhibiting the growth of HUVEC cells in a concentration-dependent manner. Conclusions: The development of new-generation materials for the storage and preservation of anti-VEGF drugs, as well as their enhancement with prolonged release, will considerably improve the efficacy of long-term treatment strategies for ocular neovascular diseases.

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Evaluation of Pharmacological Treatment in Acute Osteo Arthrosis Model by Means of Kinematic Analysis and Pain Threshold

Evaluation of Pharmacological Treatment in Acute Osteo Arthr...

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EMBS R9 Conference, IEEE

作者： F. J. Gonzalez-Lujan L. P. Osuna-Carrasco B. De la Torre-Valdovinos I. G. Aguilar-García C. Toro-Castillo M. Treviño Translational Bioengineering Department CUCEI University of Guadalajara Master of Science in Bioengineering and Intelligent Computing program CUCEI campus at University of Guadalajara Jalisco Molecular Biology and Genomics Department CUCS University of Guadalajara Neuroscience Institute CUCBA University of Guadalajara

ISBN: (数字)9798350381092

ISBN: (纸本)9798350381108

The proposed study proves the option to have a different treatment displayed on quantitative and qualitative parameters of kinematics and pain tests, by experiments with mice groups during walk and mobility analysis with kinematics parameters and pain sensation using Von Frey filaments in acute osteoarthritis knee (AOAK) model. This would allow us to have enough information to recommend or not recommend a new based treatment that can be compared to another successful treatment for osteoarthritis. Clinical Relevance — Therefore, with this study it is proposed to be able to analyze different compounds from opioids, steroids, and non-steroid anti-inflammatories (NSAIDs) like cannabinoid components, avoiding with that the dependance pathology and renal damage in patients treated with one of this kind of common treatments and thus be able to determine their viability on a in vivo model to recommend their study in instances closer to a clinical model.

关键词： Knee Analytical models Pathology In vivo Pain Kinematics Opioids

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Development of a Thin-Film pH Sensor for Quantitative Detection of MicroRNAs

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IEEJ Transactions on Sensors and Micromachines 2024年第7期144卷 185-186页

作者： Suzuki, Kazuya Tabata, Miyuki Miyahara, Yuji Arakawa, Takahiro Sustainable Engineering Program Graduate School of Engineering Tokyo University of Technology 1404-1 Katakura-cho Hachioji Tokyo192-0982 Japan Graduate School of Bio-applications and Systems Engineering Tokyo University of Agriculture and Technology 2-24-16 Naka-cho Tokyo Koganei184-8588 Japan Institute of Biomaterials and Bioengineering Tokyo Medical and Dental University 2-3-10 Kanda-surugadai Chiyoda-ku Tokyo101-0062 Japan

Quantification methods for microRNAs (miRNAs) are attracting attention, because miRNAs provide a potential biomarker in liquid biopsy. In this research, we developed an electrical monitoring device of nucleic acid amplification that is simpler than the conventional PCR method, combining an isothermal amplification method and a thin-film Iridium/Iridium oxide (Ir/IrOx) electrode. The fabricated Ir/IrOx electrode showed ideal Nernstian response under the various pH buffer solutions. Moreover, we successfully real-time monitored three-way junction primer generation-rolling circle amplification (3WJ-PGRCA) at the 0.01, 0.1 pM, Negative Control of target miRNA based on fluorescence detection. The fabricated Ir/IrOx electrode would be a promising liquid biopsy platform by detecting released proton during amplification reaction at the constant reaction temperature. © 2024 The Institute of Electrical Engineers of Japan.

关键词： pH sensors

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Eliminating the Bias from Liquid-Junction Potential for Charge-Transfer Analysis

Eliminating the Bias from Liquid-Junction Potential for Char...

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9th Symposium on Organic Semiconductor Materials, Devices, and Processing, held at the 245th ECS Meeting

作者： O’Mari, J.O. Vullev, V.I. Department of Bioengineering University of California RiversideCA92521 United States Department of Chemistry University of California RiversideCA92521 United States Department of Biochemistry University of California RiversideCA92521 United States Materials Science and Engineering Program University of California RiversideCA92521 United States

ISBN: (纸本)9781623326784

Liquid junctions in electrochemical cells introduce potentials that can strongly affect measurements. Such liquid-junction potential errors can exceed 100 mV. In the analysis of charge-transfer thermodynamics, error differences of 100 mV can have substantial impact on the interpretations. Discussion herein outlines an approach for eliminating the effects of liquid-junction potentials from charge-transfer analysis. © The Electrochemical Society.

关键词： Charge transfer

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Corrosion Resistance of Additively Manufactured Titanium Alloys in Physiological and Inflammatory-Simulating Environments: Ti-6al-4v Versus Ti-29nb-21zr

SSRN

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SSRN 2022年

作者： Kurtz, Michael Anthony Wessinger, Audrey C. Mace, Annsley Moreno-Reyes, Aldo Gilbert, Jeremy L. Department of Bioengineering Clemson University ClemsonSC United States The Clemson University Medical University of South Carolina Bioengineering Program CharlestonSC United States

Retrieval studies in the past two decades show severe corrosion of titanium and its alloys in orthopedic implants. This damage is associated with clinical failure, resulting in a need to identify new biomaterials that are load-bearing, wear-resistant, and more corrosion-resistant. Additive manufacturing (AM) can produce new metallic admixtures and alloys that may not otherwise be producible using conventional manufacturing methods. In this study, we characterize the fundamental corrosion properties of three new AM titanium materials, including Ti-6Al-4V with added 1% nano-yttria stabilized ZrO2, admix Ti-29Nb-21Zr, and pre-alloyed Ti-29Nb-21Zr. We compare these properties to conventionally and additively manufactured Ti-6Al-4V. A 0.1 M H2O2 phosphate-buffered saline (PBS) solution, simulating inflammatory conditions, significantly increased biomaterial OCP (-0.14 V vs Ag/AgCl) compared to PBS only (-0.38 V, p=0.000). During anodic polarization, Ti-6Al-4V passive current density more than doubled from 1.28*10-7 to 3.81*10-7 A/cm2 when exposed to 0.1 M H2O2. In contrast, Ti-29Nb-21Zr passive current density remained relatively unchanged, slightly increasing from 7.49*10-8 in PBS to 9.31*10-8 in 0.1M H2O2. Ti-29Nb-21Zr oxide polarization resistance (Rp) was not affected by 0.1M H2O2, maintaining a high value (1.09 *106 vs. 1.89*106 Ωcm2), while Ti-6Al-4V in 0.1 M H2O2 solution had significantly diminished Rp (4.38*106 in PBS vs. 7.24*104 Ωcm2 in H2O2). These results indicate that Ti-29Nb-21Zr has improved corrosion resistance in inflammatory simulating environments compared to Ti-6Al-4V based biomaterials. © 2022, The Authors. All rights reserved.

关键词： Aluminum alloys

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Electronic Readout for a 100 ps CTR PET Detector with 24:1 Multiplexing Ratio of Timing Channels

Electronic Readout for a 100 ps CTR PET Detector with 24:1 M...

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2022 IEEE Nuclear Science Symposium, Medical Imaging Conference, and Room Temperature Semiconductor Detector Conference, IEEE NSS MIC RTSD 2022

作者： Pourashraf, Shirin Gonzalez-Montoro, Andrea Innes, Derek Cates, Joshua W. Levin, Craig S. Stanford University Department of Radiology StanfordCA94305 United States Lawrence Berkeley National Laboratory Applied Nuclear Physics Program BerkeleyCA94720 United States Stanford University Molecular Imaging Program Departments of Radiology Bioengineering Physics and Electrical Engineering StanfordCA94305 United States

ISBN: (纸本)9781665488723

We have designed a novel electronic readout with 24:1 multiplexing ratio of the timing channels that achieves 100 ps coincidence time resolution. The detector layer units comprise 2×4 arrays of 3×3×10 mm3 "LGSO"crystals side-coupled to 6×4 arrays of 3×3 mm2 SiPMs. To achieve low power dissipation and scalability of this readout design, its effective area is implemented in only 13.3 mm using compact and power efficient electronic components. The measured CTR of the 24:1 multiplexed timing channels (or 8:1 LVDS signals) was 107.0 ± 3.6 ps FWHM using a22Na point-source and a very low timing jitter FPGA-based TDC. © 2022 IEEE.

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RRED: A Radiology Report Error Detector based on Deep Learning Framework 4

RRED: A Radiology Report Error Detector based on Deep Learni...

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4th Workshop on Clinical Natural Language Processing, ClinicalNLP 2022

作者： Min, Dabin Kim, Kaeun Lee, Jong Hyuk Kim, Yisak Park, Chang Min Department of Radiology Seoul National University Hospital Korea Republic of Interdisciplinary Program in Bioengineering Seoul National University Graduate School Korea Republic of Department of Radiology Seoul National University College of Medicine Korea Republic of

ISBN: (纸本)9781955917773

Radiology report is an official record of radiologists’ interpretation of patients’ radiographs and it’s a crucial component in the overall medical diagnostic process. However, it can contain various types of errors that can lead to inadequate treatment or delay in diagnosis. To address this problem, we propose a deep learning framework to detect errors in radiology reports. Specifically, our method detects errors between findings and conclusion of chest X-ray reports based on a supervised learning framework. To compensate for the lack of data availability of radiology reports with errors, we develop an error generator to systematically create artificial errors in existing reports. In addition, we introduce a Medical Knowledge-enhancing Pre-training to further utilize the knowledge of abbreviations and key phrases frequently used in the medical domain. We believe that this is the first work to propose a deep learning framework for detecting errors in radiology reports based on a rich contextual and medical understanding. Validation on our radiologist-synthesized dataset, based on MIMIC-CXR, shows 0.80 and 0.95 of the area under precision-recall curve (AUPRC) and the area under the ROC curve (AUROC) respectively, indicating that our framework can effectively detect errors in the real-world radiology reports. © 2022 Association for Computational Linguistics.

关键词： Errors

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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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SwiftMedSAM: An Ultra-lightweight Prompt-Based Universal Medical Image Segmentation Model for Highly Constrained Environments

SwiftMedSAM: An Ultra-lightweight Prompt-Based Universal Med...

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International Challenge on Segment Anything in Medical Images on Laptop held in conjunction with the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024

作者： Kong, Youngbin Kim, Kwangtai Jeong, Seoi Lee, Kyu Eun Kong, Hyoun-Joong Interdisciplinary Program in Bioengineering Graduate School Seoul National University Seoul Korea Republic of Department of Transdisciplinary Medicine Seoul National University Hospital Seoul Korea Republic of Department of Surgery Seoul National University Hospital and College of Medicine Seoul Korea Republic of Department of Medicine Seoul National University College of Medicine Seoul Korea Republic of Innovative Medical Technology Research Institute Seoul National University Hospital Seoul Korea Republic of Interdisciplinary Program of Medical Informatics Seoul National University College of Medicine Seoul Korea Republic of

ISBN: (纸本)9783031818530

Medical image segmentation is a crucial step for accurate diagnosis and treatment planning, as it provides quantitative information about anatomical structures and pathological lesions in various clinical scenarios. However, the existing methodologies have limitations in terms of their generalizability and computational efficiency. In this study, we propose SwiftMedSAM, an ultra-lightweight prompt-based general model, to enable efficient medical image segmentation even in resource-constrained environments. Based on LiteMedSAM, we significantly reduced the model size and computational complexity through the hyperparameter optimization of the image encoder and mask decoder components. SwiftMedSAM showed remarkable performance across various imaging modalities enabling real-time inference in resource-limited computing environments. It achieved a validation score of 0.75 demonstrating that SwiftMedSAM outperformed the existing methodologies in terms of the trade-off between accuracy and efficiency. Owing to its unprecedented generalizability and low computational cost, SwiftMedSAM is expected to enable high-quality medical image analysis in resource-constrained settings, thereby contributing to advancements in precision medicine and telemedicine. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Medical imaging

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Goldilocks Energy Minimum: Peptide-Based Reversible Aggregation and Biosensing (Vol 15, Pg 42293, 2023)

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ACS APPLIED MATERIALS & INTERFACES 2023年第41期15卷 48838-48838页

作者： Yim, Wonjun Retout, Maurice Chen, Amanda A. Ling, Chuxuan Amer, Lubna Jin, Zhicheng Chang, Yu-Ci Chavez, Saul Barrios, Karen Lam, Benjamin Li, Zhi Zhou, Jiajing Shi, Lingyan Pascal, Tod A. Jokerst, Jesse V. Materials Science and Engineering Program University of California San Diego La Jolla California 92093 United States Department of Nano and Chemical Engineering University of California San Diego La Jolla California 92093 United States Shu Chien-Gene Lay Department of Bioengineering University of California San Diego La Jolla California 92093 United States Department of Radiology University of California San Diego La Jolla California 92093 United States

Colorimetric biosensors based on gold nanoparticle (AuNP) aggregation are often challenged by matrix interference in biofluids, poor specificity, and limited utility with clinical samples. Here, we propose a peptide-driven nanoscale disassembly approach, where AuNP aggregates induced by electrostatic attractions are dissociated in response to proteolytic cleavage. Initially, citrate-coated AuNPs were assembled via a short cationic peptide (RRK) and characterized by experiments and simulations. The dissociation peptides were then used to reversibly dissociate the AuNP aggregates as a function of target protease detection, i.e., main protease (Mpro), a biomarker for severe acute respiratory syndrome coronavirus 2. The dissociation propensity depends on peptide length, hydrophilicity, charge, and ligand architecture. Finally, our dissociation strategy provides a rapid and distinct optical signal through Mpro cleavage with a detection limit of 12.3 nM in saliva. Our dissociation peptide effectively dissociates plasmonic assemblies in diverse matrices including 100% human saliva, urine, plasma, and seawater, as well as other types of plasmonic nanoparticles such as silver. Our peptide-enabled dissociation platform provides a simple, matrix-insensitive, and versatile method for protease sensing.

关键词： colorimetric biosensor DLVO theory reversible aggregation dissociation peptide matrix-insensitive SARS-CoV-19

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