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dextran-integrated polypyrrole-Cu2O composite for improved electrochemical quantification of melatonin in biological samples

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International Journal of Biological Macromolecules 2025年第PT 2期310卷 143247页

作者： Aiswarya, B. Gopika, M.G. Saraswathyamma, Beena Kuo, Chih-Yu Jeridi, Mouna Alshahrani, Thamraa Govindasamy, Mani International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City24301 Taiwan Department of Polymer Science Central Institute of Petrochemical Engineering and Technology Kochi Eloor Udyogamandal P O Kochi683501 India Department of Chemistry Amrita Vishwa Vidyapeetham Amritapuri campus Clappana P O Kerala Kollam690525 India Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei10608 Taiwan High-Value Biomaterials Research and Commercialization Center National Taipei University of Technology Taipei106 Taiwan Biology Department College of Science King Khalid University Abha61413 Saudi Arabia Department of Physics College of Science Princess Nourah bint Abdulrahman University P. O. Box 84428 Riyadh11671 Saudi Arabia Research Center for Intelligent Medical Devices Ming Chi University of Technology New Taipei City24301 Taiwan Department of Research and Innovation Saveetha School of Engineering SIMATS Chennai602105 India

Monitoring the level of melatonin (MEL), a neurohormone that plays a vital role in governing the body's circadian rhythms and sleep cycles, is critical due to its physiological importance and potential adverse side effects during overexposure. This research deals with the design and development of a novel electrochemical sensor by modifying a glassy carbon electrode (GCE) with a composite of poly(vinyl alcohol) (PVA), dextran (dex), polypyrrole (PPy) and copper oxide particles (Cu2O) forming the PdPC composite. The synthesized composite was analyzed using both structural and morphological characterization methods. Additionally, cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) were conducted to examine electrochemical behaviour of the composite. Significantly, the dextran inclusion, which is a biocompatible polysaccharide, makes the composite more hydrophilic, film forming, and stable enhancing sensor properties, more importantly, electrochemically. The sensor showed high electrocatalytic activity towards MEL oxidation as studied using CV and dPV. For MEL oxidation, the oxidation peak was found at +0.6 V in phosphate buffer (ph 7.0) with an increase in current with respect to melatonin concentration. The sensor has a detection limit of 5.2 nM with a linear range of 10.0 nM to 850.0 μM, found to be better than most reported sensors. Analysis of real samples, such as human serum and urine, demonstrated the ability to selectively, stably, and reproducibly detect MEL. These data confirm the potential possibilities of using the sensor for clinical and point-of-care testing showing a significant development in polysaccharide-based electrochemical sensors. © 2025 Elsevier B.V.

关键词： dextran-based composite Electrochemical sensor Melatonin

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Microfluidic-supported emulsion polymerization: molecular weight and concentration of surface-capping agents impact the formation of anisotropic polyvinylmethacrylate particles

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Polymer Chemistry 2025年

作者： Visaveliya, Nikunjkumar R. Kelestemur, Seda Khatoon, Firdaus Xu, Jin Leo, Kelvin McCoy, Karisma St. Peter, Lauren Chan, Christopher Mikhailova, Tatiana Bexheti, Visar Shentolli, Geri Alagaratnam, Anushan Ahmed, Saad Maity, Piyali Eisele, dorthe M. Department of Chemistry and Biochemistry The City College of New York The City University of New York New YorkNY United States Biotechnology Department Institute of Health Sciences University of Health Sciences Istanbul Turkey Ph.D. Program in Chemistry Graduate Center The City University of New York New YorkNY United States

Surface-capping agents—for example, amphiphilic surfactant molecules, water-soluble polymers, or polyelectrolytes—play a critical role during polymerization reactions for both the formation and stability of colloidal polymer particles. Here, we investigated the effect of the molecular weight and concentration of polymeric surface-capping agents on the assembling of polyvinyl methacrylate (PVMA) colloidal nanoparticles (NPs) via microfluidic-supported emulsion polymerization. Specifically, the impacts of the molecular weight and concentration of polyvinylpyrrolidone (PVP, molecular weights of 10 000, 40 000, 360 000, and 1 300 000 MW, concentrations of 0.05, 0.5, 1, 2.5, 5, and 10 mM, repeating unit concentration) and poly(sodium styrene sulfonate) (PSSS, molecular weights of 70 000 and 200 000 MW, concentrations of 0.1, 1, 2.5, 5, 10, and 20 mM, repeating unit concentration) on the formation of PVMA NPs were investigated. depending on the molecular weight and concentration of surface-capping agents, we obtained finely textured assembled, spherical, flower-shaped, fluffy, and elongated spherical PVMA NPs with sizes ranging from 70 to 500 nm. With our microfluidic-supported synthesis of PVMA NPs, we contributed to a basic understanding of how the molecular weight and concentration of surface-capping agents impact the formation of polymer NPs. © 2025 The Royal Society of Chemistry.

关键词： Emulsion polymerization

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Plant-derived galactolipids enhance specific antibody production and induce class-switch as vaccine adjuvant

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Vaccine 2024年第4期42卷 782-794页

作者： Lin, Han-Huei Wu, Yi-Shin Chang, Meng-Ting Shyur, Lie-Fen Lin, Yu-Ling Agricultural Biotechnology Research Center Academia Sinica Taipei Taiwan Ph.D. Program in Translational Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Institute of BioPharmaceutical Sciences National Sun Yat-sen University Kaohsiung Taiwan

Various plant-derived compounds can activate immune responses against bacterial infections, and this property contributes to them being developed as effective and safe adjuvants for vaccines. This study evaluated the potential adjuvant effects of a galactolipid-enriched fraction generated from the medicinal plant Crassocephalum rabens (designated CRA). Heat shock protein 60 of periodontal disease pathogen Actinobacillus actinomycetemcomitans (AaHSP60) was taken as an antigen and mixed with CRA. The AaHSP60/CRA mixture was then injected intraperitoneally into the BALB/c mice. Titers and affinity of specific antibodies were measured by ELISA. Cytokine profiles in mouse serum or culture media of AaHSP60/CRA-treated splenocytes were analyzed by cytokine multiplex assay and ELISA kits. B cell differentiation and macrophage activation were determined by phenotyping. CRA dramatically enhanced specific antibody titers and induced Ig class switch, as shown by increases in the IgG2a, IgG2b, and IgG3 proportions of total Ig in mouse serum. Furthermore, CRA-induced anti-AaHSP60 antibodies had cross-reactivity to other bacterial HSP60s. Cell-based and animal results demonstrated that CRA induced the release of IL-21 and B cell activating factor (BAFF), which stimulated B cell differentiation. CRA enhanced cell proliferation, uptake ability, and antigen presentation in mouse phagocytes. CRA served as a vaccine adjuvant that enhance mouse immunity against pathogenic antigens. CRA strengthened the activation and capabilities of phagocytes and B cells. Therefore, CRA may be a promising adjuvant for bacterial vaccines including periodontal disease. © 2024 Elsevier Ltd

关键词： BAFF Galactolipid Humoral immunity IL-21 Plant-derived adjuvant

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Response to letter to editor re: Tran et al. 2024 (Huang et al.)

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Science of the Total Environment 2025年 972卷 179107页

作者： Tran, Huan Minh Tsai, Feng-Jen Lee, Kang-Yun Wang, Yuan-Hung Yang, Feng-Ming Ho, Shu-Chuan Bui, Hanh Thi My Hoang, Linh Nhat Nguyen Bui, Linh Thi My Ho, Kin-Fai Chung, Kian Fan Chuang, Kai-Jen Chuang, Hsiao-Chi Ph.D. Program in Global Health and Health Security College of Public Health Taipei Medical University Taipei Taiwan Faculty of Public Health Da Nang University of Medical Technology and Pharmacy Da Nang Viet Nam Division of Pulmonary Medicine Department of Internal Medicine Shuang Ho Hospital Taipei Medical University New Taipei City Taiwan Division of Pulmonary Medicine Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Graduate Institute of Clinical Medicine College of Medicine Taipei Medical University Taipei Taiwan Department of Medical Research Shuang Ho Hospital Taipei Medical University New Taipei City Taiwan School of Respiratory Therapy College of Medicine Taipei Medical University Taipei Taiwan Da Nang Center for Disease Control Da Nang Viet Nam The Jockey Club School of Public Health and Primary Care The Chinese University of Hong Kong N.T. Shatin Hong Kong National Heart and Lung Institute Imperial College London London United Kingdom School of Public Health College of Public Health Taipei Medical University Taipei Taiwan Department of Public Health School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Cell Physiology and Molecular Image Research Center Wan Fang Hospital Taipei Medical University Taipei Taiwan

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Prediction of Protein-Protein Interactions through deep Learning Based on Sequence Feature Extraction and Interaction Network

Prediction of Protein-Protein Interactions through Deep Lear...

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2022 IEEE Biomedical Circuits and Systems Conference, BioCAS 2022

作者： Le, Nguyen Quoc Khanh Kha, Quang Hien Taipei Medical University Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Taiwan International Master/Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei Taiwan

ISBN: (数字)9781665469173

ISBN: (纸本)9781665469173

Protein-protein interaction (PPI) is an important molecular process in the cell, which is vital to the function of the cell in the biochemical process. This study focuses on human protein. It uses protein information and the relationship of protein interaction network structure to predict PPI. deep neural network model is implemented to realize PPI prediction. Through five-fold cross-validation, a high performance in the prediction accuracy is produced. The accuracy rate on the test set is 92.45%. To further evaluate the performance of this method, we compared it with other machine learning algorithms. The experimental results show that the method based on neural network is significantly better than the others on the same dataset. It also shows a superior performance compared to previous predictors in this field on PPI prediction. © 2022 IEEE.

关键词： Proteins

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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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Negative prognostic factors and clinical improvement prediction modeling for extracorporeal shockwave therapy in calcific shoulder tendinitis using artificial intelligence techniques

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Journal of Shoulder and Elbow Surgery 2025年

作者： Chou, Wen-Yi Huang, Tian-Hsiang Cheng, Jai-Hong Lien, Yu-Jui Ho, Wen-Hsien Chou, Paul Pei-Hsi Ph.D. Program in Biomedical Engineering College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Department of Orthopedic Surgery Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine Kaohsiung Taiwan Department of Leisure and Sport Management Cheng Shiu University Kaohsiung Taiwan Department of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan Department of Medical Research Center for Shockwave Medicine and Tissue Engineering Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine Kaohsiung Taiwan Department of Healthcare Administration and Medical Informatics Kaohsiung Medical University Kaohsiung Taiwan Department of Medical Research Kaohsiung Medical University Hospital Kaohsiung Taiwan College of Professional Studies National Pingtung University of Science and Technology Pingtung Taiwan Precision Sports Medicine and Health Promotion Center Kaohsiung Medical University Kaohsiung Taiwan Department of Sports Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Division of Sports Medicine Department of Orthopaedic Surgery Kaohsiung Medical University Hospital Kaohsiung Taiwan Department of Orthopaedics School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan

Background: The efficacy of extracorporeal shockwave therapy (ESWT) for treating shoulder calcific tendinitis can be influenced by various prognostic factors. This study aimed to identify prognostic factors associated with the failure of ESWT for symptom relief and to evaluate the predictive capability of the eXtreme Gradient Boosting (XGBoost) algorithm of artificial intelligence techniques in this context. Methods: This retrospective study enrolled patients with persistent shoulder pain attributed to calcific tendinitis who underwent ESWT after failed conservative treatment between January 1998 and december 2022. Age, sex, duration of symptoms, calcification classification and size, pre-ESWT visual analog scale (VAS), and pre-ESWT Constant-Murley score (CMS) served as potential input attributes. The difference in VAS and CMS were defined as the output attributes. The XGBoost model was used to predict treatment outcomes based on these factors. The dataset was balanced using the synthetic minority oversampling technique, and the model's performance was assessed using 10-fold cross-validation. Spearman's rank correlation coefficient analysis was adopted to explore the relationships between significant continuous input attributes and post-ESWT VAS and CMS scores. Results: A total of 296 patients with calcific tendinitis were enrolled and completed the 1-year follow-up. The findings revealed that a prolonged symptom duration (>10 months), severe pain (pre-ESWT VAS >5), and higher pre-ESWT CMS (>55) were significant prognostic factors for the failure of ESWT for symptom relief. Using these factors as inputs, the XGBoost model demonstrated high accuracy, precision, recall, and F1 score. By reducing the input attributes to age, calcification size, pre-ESWT CMS, and symptom duration, the model maintained a high prediction rate, suggesting that these factors are sufficient for effective prediction. discussion: The present study identified significant prognostic factors asso

关键词： Artificial intelligence Basic Science Study calcific tendinitis CMS development of Predictive Computer Modeling Using AI/Machine Learning ESWT shoulder VAS XGBoost

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Emerging roles of interferon-stimulated genes in the innate mmune response to hepatitis C virus infection

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Cellular & Molecular Immunology 2016年第1期13卷 11-35页

作者： Mun-Teng Wong Institute of Biomedical Sciences Academia Sinica Taipei Ph.D. Program in Translational Medicine Kaohsiung Medical University and Academia Sinica MTW and SSC contributed equally to this manuscript

Infection with hepatitis C virus （HCV）, a major viral cause of chronic liver disease, frequently progresses to steatosis and cirrhosis, which can lead to hepatocellular carcinoma. HCV infection strongly induces host responses, such as the activation of the unfolded protein response, autophagy and the innate immune response. Upon HCV infection, the host induces the interferon （IFN）-mediated frontline defense to limit virus replication. Conversely, HCV employs diverse strategies to escape host innate immune surveillance. Type I IFN elicits its antiviral actions by inducing a wide array of IFN-stimulated genes （ISGs）. Nevertheless, the mechanisms by which these ISGs participate in IFN-mediated anti-HCV actions remain largely unknown. In this review, we first outline the signaling pathways known to be involved in the production of type I IFN and ISGs and the tactics that HCV uses to subvert innate immunity. Then, we summarize the effector mechanisms of scaffold ISGs known to modulate IFN function in HCV replication. We also highlight the potential functions of emerging ISGs, which were identified from genome-wide siRNA screens, in HCV replication. Finally, we discuss the functions of several cellular determinants critical for regulating host immunity in HCV replication. This review will provide a basis for understanding the complexity and functionality of the pleiotropic IFN system in HCV infection. Elucidation of the specificity and the mode of action of these emerging ISGs will also help to identify novel cellular targets against which effective HCV therapeutics can be developed.

关键词： anti-HCV activity HCV IFN innate immunity ISG

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Flexible nanohybrid substrates utilizing gold nanocubes/nano mica platelets with 3d lightning-rod effect for highly efficient bacterial biosensors based on surface-enhanced Raman scattering

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Journal of Materials Chemistry B 2024年第13期12卷 3226-3239页

作者： Chen, Yan-Feng Lu, Ming-Chang Lee, Chia-Jung Chiu, Chih-Wei Department of Materials Science and Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan Ph.D. Program in Clinical Drug Development of Herbal Medicine College of Pharmacy Taipei Medical University Taipei11031 Taiwan

In this study, gold nanocubes (AuNCs) were quickly synthesized using the seed-mediated growth method and reduced onto the surface of two-dimensional (2d) delaminated nano mica platelets (NMPs), enabling the development of AuNCs/NMPs nanohybrids with a 3d lightning-rod effect. First, the growth-solution amount can be changed to easily adjust the AuNCs average-particle size within a range of 30-70 nm. The use of the cationic surfactant cetyltrimethylammonium chloride as a protective agent allowed the surface of AuNCs and nanohybrids to be positively charged. Positively charged nanohybrid surfaces presented a good adsorption effect for detecting molecules with negative charges on the surface. Additionally, the NMP surfaces were rich in ionic charges and provided a large specific surface area for stabilizing the growth of AuNCs. delaminated AuNCs/NMPs nanohybrids can generate a 3d hotspot effect through self-assembly to enhance the Raman signal. Surface-enhanced Raman scattering (SERS) is highly sensitive in detecting adenine biomolecules. Its limit of detection (LOd) and Raman enhancement factor reached 10−9 M and 3.6 × 108, respectively. Excellent reproducibility was obtained owing to the relatively regular arrangement of AuNC particles, and the relative standard deviation (RSd) was 10.7%. Finally, the surface of NMPs was modified by adding the hydrophilic poly(oxyethylene)-diamine (POE2000) and amphiphilic PIB-POE-PIB copolymer at different weight ratios. The adjustment of the surface hydrophilicity and hydrophobicity of AuNCs/NMPs nanohybrids led to better adsorption and selectivity for bacteria. AuNCs/POE/NMPs and AuNCs/PIB-POE-PIB/NMPs were further applied to the SERS detection of hydrophilic Staphylococcus aureus and hydrophobic Escherichia coli, respectively. The SERS-detection results suggest that the LOd of hydrophilic Staphylococcus aureus and hydrophobic Escherichia coli reached 92 CFU mL−1 and 1.6 × 102 CFU mL−1, respectively. The AuNCs/POE/NMPs and AuNCs/P

关键词： Substrates

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Identification and differentiation of KRAS(in Codons 12 and 13)and BRAF Mutations by Fragment Analysis

Identification and Differentiation of KRAS(in Codons 12 and ...

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2010年江苏省抗癌协会第二届传统医学专业委员会学术研讨会

作者： Howard doong program in Cancer Biology Medical Biotechnology Center University of Maryland Biotechnology Institute ＆ TrimGen Corporation Sparts Maryland Ph.D.

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关键词： Identification and differentiation of KRAS in Codons 12 and 13)and BRAF Mutations by Fragment Analysis

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