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An alleviative effect of Lonicerae japonicae flos water extract against liver fibrogenesis in vitro and in vivo

Environmental Toxicology 2024年第5期39卷 2881-2892页

作者： Lin, Yi-Ling Wu, Yi-Hsieng Samuel Chao, Ming-Yuan Yang, Deng-Jye Liu, Cheng-Wei Tseng, Jung-Kai Chen, Yi-Chen Department of Animal Science and Technology National Taiwan University Taipei Taiwan Undergraduate and Graduate Programs of Nutrition Science National Taiwan Normal University Taipei Taiwan Institute of Food Safety and Health Risk Assessment National Yang Ming Chiao Tung University Taipei Taiwan Department of Smart and Quality Agriculture MingDao University Changhua Taiwan Department of Optometry Asia University Taichung Taiwan Master Program in Global Agriculture Technology and Genomic Science International College National Taiwan University Taipei Taiwan

Lonicerae japonicae (L. japonicae) flos is a medical and food homology herb. This study investigated the phenolic acid and flavonoid contents in L. japonicae flos water extract solution (LJWES) and the preventive effects of LJWES against liver fibrogenesis via FL83B cells and rats. LJWES contains many polyphenols, such as chlorogenic acid, morin, and epicatechin. LJWES increased cell viability and decreased cytotoxicity in thioacetamide (TAA)-treated FL83B cells (75 mM) (p © 2024 Wiley Periodicals LLC.

关键词： Rats

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Fabrication of versatile poly(xylitol sebacate)-co-poly(ethylene glycol) hydrogels through multifunctional crosslinkers and dynamic bonds for wound healing

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Acta Biomaterialia 2023年 170卷 344-359页

作者： Yeh, Ying-Yu Lin, Yi-Yun Wang, Ting-Teng Yeh, Yu-Jia Chiu, Ting-Hsiang Wang, Reuben Bai, Meng-Yi Yeh, Yi-Cheun Institute of Polymer Science and Engineering National Taiwan University Taipei Taiwan Institute of Biomedical Engineering National Taiwan University Taipei Taiwan Biomedical Engineering Program Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei Taiwan Institute of Food Safety and Health National Taiwan University Taipei Taiwan Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan Adjunct Appointment to the Department of Biomedical Engineering National Defense Medical Center Taipei Taiwan Program National Taiwan University Taipei Taiwan GIP-TRIAD Master's Degree in Agro-Biomedical Science National Taiwan University Taipei Taiwan

Poly(polyol sebacate) (PPS) polymer family has been recognized as promising biomaterials for biomedical applications with their characteristics of easy production, elasticity, biodegradation, and cytocompatibility. Poly(xylitol sebacate)-co-poly(ethylene glycol) (PXS-co-PEG) has been developed to fabricate PPS-based hydrogels;however, current PXS-co-PEG hydrogels presented limited properties and functions due to the limitations of the crosslinkers and crosslinking chemistry used in the hydrogel formation. Here, we fabricate a new type of PXS-co-PEG hydrogels through the use of multifunctional crosslinkers as well as dynamic bonds. In our design, polyethyleneimine-polydopamine (PEI-PDA) macromers are utilized to crosslink aldehyde-functionalized PXS-co-PEG (APP) through imine bonds and hydrogen bonds. PEI-PDA/APP hydrogels present multiple functional properties (e.g., fluorescent, elastomeric, biodegradable, self-healing, bioadhesive, antioxidant, and antibacterial behaviors). These properties of PEI-PDA/APP hydrogels can be fine-tuned by changing the PDA grafting degrees in the PEI-PDA crosslinkers. Most importantly, PEI-PDA/APP hydrogels are considered promising wound dressings to promote tissue remodeling and prevent bacterial infection in vivo. Taken together, PEI-PDA/APP hydrogels have been demonstrated as versatile biomaterials to provide multiple tailorable properties and desirable functions to expand the utility of PPS-based hydrogels for advanced biomedical applications. Statement of significance: Various strategies have been developed to fabricate poly(polyol sebacate) (PPS)-based hydrogels. However, current PPS-based hydrogels present limited properties and functions due to the limitations of the crosslinkers and crosslinking chemistry used in the hydrogel formation. This work describes that co-engineering crosslinkers and interfacial crosslinking is a promising approach to synthesizing a new type of poly(xylitol sebacate)-co-poly(ethylene glycol) (PXS-co-

关键词： Polyols

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Evaluating the accuracy of impaired skin integrity in critically ill patients: Key characteristics and clinical implications

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International Journal of Nursing Knowledge 2025年第0期 2025 Jan 28页

作者： de Almeida, Alana Gomes Araújo Pascoal, Lívia Maia Gontijo, Paula Vitória Costa Santos Neto, Marcelino de Oliveira Serra, Maria Aparecida Alves Lima, Kassya Fernanda Freire de Lopes, Marcos Venícios Oliveira Graduate Program in Public Health Federal University of Maranhão São Luís Brazil Graduate Program in Nursing Federal University of Maranhão São Luís Brazil Graduate Program in Nursing Federal University of Ceará Fortaleza Brazil Graduate Program in Healthy and Technology Federal University of Maranhão São Luís Brazil

Objective: To evaluate the accuracy of the defining characteristics of the nursing diagnosis Impaired skin integrity (00046) in patients admitted to intensive care units (ICUs). Methods: A cross-sectional diagnostic accuracy study was conducted with 105 adult patients admitted to an ICU. A latent class model with random effects was used to test the sensitivity and specificity of the defining characteristics investigated. The diagnosis Impaired skin integrity (00046) was the dependent variable, whereas sociodemographic and clinical data were the independent variables. Results: Impaired skin integrity was present in 3.75% of the sample. The defining characteristic with the best accuracy for the diagnosis was dry skin, with high sensitivity (0.9994) and specificity (0.9106). Other characteristics stood out in terms of sensitivity measures: altered skin color (0.9994) and foreign matter piercing skin (0.9994). In terms of specificity, the following stood out: desquamation (1.000), localized area hot to touch (0.9901), pruritus (0.9897), bleeding (0.9802), and hematoma (0.9208). Conclusion: The defining characteristics that helped infer the diagnosis Impaired skin integrity (00046) with greater certainty were dry skin, altered skin color, foreign matter piercing skin, desquamation, localized area hot to touch, pruritus, bleeding, and hematoma. Implications for nursing practice: Identifying defining characteristics with high diagnostic accuracy for Impaired skin integrity (00046) enables nurses to expand their clinical perspective on this dysfunction, which can affect the skin of critically ill patients, and to develop individualized care plans. © 2025 NANDA International, Inc.

关键词： intensive care unit nursing diagnosis skin

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The largest genome-wide association study for breast cancer in Taiwanese Han population

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Breast Cancer Research and Treatment 2024年第2期203卷 291-306页

作者： Hsu, Yu-Ching Chen, Hung-Lin Cheng, Chi-Fung Chattopadhyay, Amrita Chen, Pei-Shan Lin, Che-Chen Chiang, Hsiu-Yin Liu, Ting-Yuan Huang, Chi-Hao Kuo, Chin-Chi Chuang, Eric Y. Lu, Tzu-Pin Tsai, Fuu-Jen Bioinformatics Program Taiwan International Graduate Program National Taiwan University Taipei Taiwan Bioinformatics Program Institute of Statistical Science Taiwan International Graduate Program Academia Sinica Taipei Taiwan Institute of Health Data Analytics and Statistics Department of Public Health College of Public Health National Taiwan University Taipei Taiwan Big Data Center China Medical University Hospital Taichung Taiwan Center for Translational Genomic Research Department of Medical Research China Medical University Hospital Taichung Taiwan Million-Person Precision Medicine Initiative Department of Medical Research China Medical University Hospital Taichung Taiwan Division of Breast Surgery Department of Surgery China Medical University Hospital Taichung Taiwan Division of Nephrology Department of Internal Medicine China Medical University Hospital Taichung Taiwan Department of Medical Research China Medical University Hospital Taichung Taiwan Bioinformatics and Biostatistics Core Center of Genomic and Precision Medicine National Taiwan University Taipei Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan Biomedical Technology and Device Research Laboratories Industrial Technology Research Institute Hsinchu Taiwan Genetic Center Department of Medical Research China Medical University Hospital Taichung Taiwan

Purpose: Breast cancer is a molecularly heterogeneous disease, and multiple genetic variants contribute to its development and prognosis. Most of previous genome-wide association studies (GWASs) and polygenic risk scores (PRSs) analyses focused on studying breast cancers of Caucasian populations, which may not be applicable to other population. Therefore, we conducted the largest breast cancer cohort of Taiwanese population to fill in the knowledge gap. Methods: A total of 152,534 Participants recruited by China Medical University Hospital between 2003 and 2019 were filtered by several patient selection criteria and GWAS quality control steps, resulting in the inclusion of 2496 cases and 9984 controls for this study. We then conducted GWAS for all breast cancers and PRS analyses for all breast cancers and the four breast cancer subtypes, including luminal A, luminal B, basal-like, and HER2-enriched. Results: The GWAS analyses identified 113 SNPs, 50 of which were novel. The PRS models for all breast cancers and the luminal A subtype showed positively correlated trends between the PRS and the risk of developing breast cancer. The odds ratios (95% confidence intervals) for the groups with the highest PRS in all breast cancers and the luminal A subtype were 5.33 (3.79–7.66) and 3.55 (2.13–6.14), respectively. Conclusion: In summary, we explored the association of genetic variants with breast cancer in the largest Taiwanese cohort and developed two PRS models that can predict the risk of developing any breast cancer and the luminal A subtype in Taiwanese women. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

关键词： Breast cancer Genome-wide association study Polygenic risk score Taiwanese population

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Enhanced Carbon Flux Forecasting via STL Decomposition and Hybrid ARIMA-ES-LSTM Model in Amazon Forest

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IEEE Access 2025年 13卷 84713-84726页

作者： Dias, Jean A. C. Guimarães, Pedro H. Do V. Pereira, Williane G. S. Tamasauskas, Leonardo De O. Gomes, Marivan S. Correa, Alan B. S. Figueiredo, Karla Costa, Gilson Costa, Gabriel Brito Costa, Fernando A. R. Seruffo, Marcos C. Da R. Operational Research Laboratory Belém66075-110 Brazil School of Technology Amazonas 69850-000 Brazil Belém66075-110 Brazil Institute of Mathematics and Statistics Department of Informatics and Computer Science Rio de Janeiro20550-013 Brazil Institute of Biological and Health Sciences II Department of Genetics Rio de Janeiro20550-013 Brazil Santarém68035-110 Brazil Federal University of Rio Grande do Norte Climate Sciences Post-Graduate Program Rio Grande do Norte Natal59078-970 Brazil Pará Santarém68035-110 Brazil Post-Graduate Program in Forest Science Technology and Innovation-PPGCTIF Pará Santarém68035-110 Brazil Pará Santarém68035-110 Brazil Pará Belém66075-110 Brazil Pará Castanhal68746-630 Brazil

This study presents a hybrid model, STL-ARIMA-ES-LSTM, developed to improve the accuracy of Gross Primary Productivity (GPP) forecasts in the Amazon region. The model integrates seasonal and trend decomposition using Loess (STL) with statistical methods (ARIMA and Exponential Smoothing-ES) and a machine learning technique (Long Short-Term Memory - LSTM). Applied to GPP data from the PE-QFR site, the hybrid model achieved significantly better error metrics, with RMSE of 1.69 gC/m2/day, MAE of 1.35 gC/m2/day, and MAPE of 0.20%, compared to the standalone LSTM (RMSE of 2.16 gC/m2/day, MAE of 1.78 gC/m2/day, and MAPE of 0.27%). Furthermore, the hybrid model showed stronger agreement with the observed data, with correlation coefficient r =0.62 and R2 =0.39 , whereas the LSTM alone yielded r =0.26 and R2 = –0.002. The STL decomposition allowed effective separation of trend, seasonality, and residual components, enabling tailored modeling of each, which contributed to the improved predictive performance. These results demonstrate the advantage of hybrid approaches in capturing the nonlinear and seasonal patterns of GPP, supporting enhanced environmental monitoring and more informed climate change mitigation strategies in the Amazon. © 2013 IEEE.

关键词： Carbon sequestration

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Evaluation of positivity of estrogen receptors on breast cancer tissue through computerized morphometric analysis

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Research on Biomedical Engineering 2021年第4期37卷 605-615页

作者： Botega, Paola Evelyn de Souza, Mauren Abreu Hembecker, Paula Karina de Oliveira, Jonathan Ioshii, Sergio Ossamu Graduate Program in Health Technology Polytechnic School Pontifícia Universidade Católica do Paraná Imaculada Conceição 1155 Prado Velho CuritibaPR80215-901 Brazil

Introduction: One of the essential steps in determining breast cancer patients’ appropriate treatment is the assessment of hormone receptor expression in neoplastic tissues, which is mostly performed by the immunohistochemistry (IHC) technique. The quantitative evaluation of these receptors is usually done subjectively, which allows variability in the results. Therefore, this research aimed to develop low-cost software capable of automatically evaluating immunohistochemical digital images of breast cancer tissues, generating standardized results. Methods: For the development of the tool, MATLAB R2015a was used. Digital immunohistochemical images were evaluated for quantification of the total nuclei of the neoplastic cells. Subsequently, the number of neoplastic cells with positivity for estrogen receptor expression was obtained, followed by a quantitative evaluation of the positivity intensity using the Allred scale. Three specialists evaluated the same digital images independently and without knowledge of the computational analysis results, performing the Allred score. Results: Accuracy was between 78.5 and 95.1%, sensitivity between 96.6 and 100%, specificity between 67.2 and 93.3%, and efficiency between 83.6 and 94.9%. We found an excellent level of agreement between manual scoring and the software analysis for the Allred total scale. Conclusion: The proposed automated software is a viable alternative for measuring immunohistochemical estrogen receptor expression in breast cancer tissues. © 2021, Sociedade Brasileira de Engenharia Biomedica.

关键词： MATLAB

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Nano-modified viruses prime the tumor microenvironment and promote the photodynamic virotherapy in liver cancer

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Journal of Biomedical Science 2024年第1期31卷 1页

作者： Ou, Da-Liang Liao, Zi-Xian Kempson, Ivan M. Li, Lin Yang, Pan-Chyr Tseng, S.-Ja Graduate Institute of Oncology National Taiwan University College of Medicine Taipei 10051 Taiwan National Taiwan University YongLin Institute of Health National Taiwan University Taipei 10051 Taiwan Institute of Medical Science and Technology National Sun Yat-Sen University Kaohsiung 80424 Taiwan Future Industries Institute University of South Australia Mawson Lakes 5095 SA Australia Department of Internal Medicine National Taiwan University College of Medicine Taipei 10051 Taiwan Institute of Biomedical Sciences Academia Sinica Taipei 11529 Taiwan Program in Precision Health and Intelligent Medicine Graduate School of Advanced Technology National Taiwan University Taipei 10051 Taiwan

Background: As of 2020, hepatocellular carcinoma (HCC), a form of liver cancer, stood as the third most prominent contributor to global cancer-related mortality. Combining immune checkpoint inhibitors (ICI) with other therapies has shown promising results for treating unresectable HCC, offering new opportunities. Recombinant adeno-associated viral type 2 (AAV2) virotherapy has been approved for clinical use but it efficacy is stifled through systemic administration. On the other hand, iron oxide nanoparticles (ION) can be cleared via the liver and enhance macrophage polarization, promoting infiltration of CD8⁺ T cells and creating a more favorable tumor microenvironment for immunotherapy. Methods: To enhance the efficacy of virotherapy and promote macrophage polarization towards the M1-type in the liver, ION-AAV2 were prepared through the coupling of ION-carboxyl and AAV2-amine using 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide hydrochloride (EDC)/N-hydroxysulfosuccinimide (Sulfo-NHS). Efficacy after systemic delivery of ION-AAV2 in an orthotopic HCC model was evaluated. Results: After 28 days, the tumor weight in mice treated with ION-AAV2 was significantly reduced by 0.56-fold compared to the control group. The ION-AAV2 treatment led to an approximate 1.80-fold increase in the level of tumor associated M1-type macrophages, while the number of M2-type macrophages was reduced by 0.88-fold. Moreover, a proinflammatory response increased the population of tumor-infiltrating CD8⁺ T cells in the ION-AAV2 group. This transformation converted cold tumors into hot tumors. Conclusions: Our findings suggest that the conjugation of ION with AAV2 could be utilized in virotherapy while simultaneously exploiting macrophage-modulating cancer immunotherapies to effectively suppress HCC growth. © 2023, The Author(s).

关键词： Adeno-associated virus Immune-promoting effect Iron oxide nanoparticles Macrophage Orthotopic hepatocellular carcinoma Photodynamic virotherapy

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Gait proficiency index in children aged 3.5 to 9.5 years old

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Research on Biomedical Engineering 2021年第2期37卷 429-437页

作者： das Neves, Ana Maria Bender Seidenfuss de Souza, Leandro Daniel Aires, Andréia Gomes Souza, Thalita Borges Giacomazzi, Leandro Peserico Dachi, Édison Pereira Baptista, Rafael Reimann School of Technology Graduate Program in Electrical Engineering PUCRS Porto Alegre Brazil School of Health and Life Sciences Undergraduate Program in Physical Education PUCRS Porto Alegre Brazil School of Technology Undergraduate Program in Electrical Engineering PUCRS Porto Alegre Brazil School of Technology Associate Degree Program in Industrial Automation and Embedded Systems SENAI Porto Alegre Brazil School of Technology and School of Health and Life Sciences Pontifical Catholic University of Rio Grande do Sul Av. Ipiranga 6681 Partenon Porto Alegre90619-900 Brazil

Introduction: The purpose of this study is to present a novel approach for gait assessment called gait proficiency index (GPI) using only ground reaction forces (GRF)-derived parameters. Material and methods: Barefoot gait from 51 healthy children was evaluated with the GPI in this study. The participants walked at their self-selected speed along a 6-m walkway with 8 force platforms placed in pairs. The force-time analysis resulted in a dynamic symmetry assessment (DSA) that is the result of vertical GRF component distribution for all gait cycles both the left and right foot. DSA and impulse calculation from GRF led to the calculation of the GPI, which is the relationship between the impulse of load response and mid-stance and impulse of terminal stance and pre-swing of both right and left feet multiplied by the DSA index. The children were divided into three groups with 17 participants each and classified according to age (mean age ± standard deviation): G1 (4.39 ± 0.511), G2 (6.33 ± 0.639), G3 (8.49 ± 0.636). Results: The results show that as children mature, the GPI seems to increase from G1 to G2 and decreases from G2 to G3 and that both the standard deviations and coefficient of variation decrease with the increase of age. Conclusions: This can be an indicative that the index can assess improvements in gait quality through age. However, there was no statistical significance between the groups in this variable. Also, the correlation between either DSA and age or GPI and age found is weak to make other conclusions but that the study of adults should be included to either validate or refute the use of GPI. © 2021, Sociedade Brasileira de Engenharia Biomedica.

关键词： Biophysics

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A functional chicken-liver hydrolysate-based supplement ameliorates alcohol liver disease via regulation of antioxidation, anti-inflammation, and antiapoptosis

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Environmental Toxicology 2024年第3期39卷 1759-1768页

作者： Wu, Yi-Hsieng Samuel Lin, Yi-Ling Kao, Yi-Feng Chen, Jr-Wei Chen, Yi-Chou Chen, Yi-Chen Department of Animal Science and Technology National Taiwan University Taipei City Taiwan Institute of Food Safety and Health Risk Assessment National Yang Ming Chiao Tung University Taipei City Taiwan Undergraduate and Graduate Programs of Nutrition Science National Taiwan Normal University Taipei City Taiwan Seafood Technology Division Fisheries Research Institute Ministry of Agriculture Keelung City Taiwan Department of Animal Industry Ministry of Agriculture Taipei City Taiwan Great Billion Biotech Co. Limited. New Taipei City Taiwan Master Program in Global Agriculture Technology and Genomic Science International College National Taiwan University Taipei City Taiwan

Tons of broiler livers are produced yearly in Taiwan but always considered waste. Our team has successfully patented and characterized a chicken-liver hydrolysate (CLH) with several biofunctions. Chronic alcohol consumption causes hepatosteatosis or even hepatitis, cirrhosis, and cancers. This study was to investigate the hepatoprotection of CLH-based supplement (GBHP01™) against chronic alcohol consumption. Results showed that GBHP01™ could reduce (p © 2023 Wiley Periodicals LLC.

关键词： Metabolism

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Calculation of intravoxel incoherent motion parameter maps using a kernelized total difference-based method

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NMR in Biomedicine 2024年第10期37卷 e5201页

作者： Huang, Hsuan-Ming Institute of Medical Device and Imaging College of Medicine National Taiwan University Taipei City Taiwan Program for Precision Health and Intelligent Medicine Graduate School of Advanced Technology National Taiwan University Taipei City Taiwan

Quantitative analysis of diffusion-weighted magnetic resonance imaging (DW-MRI) has been explored for many clinical applications since its development. In particular, the intravoxel incoherent motion (IVIM) model for DW-MRI has been commonly utilized in various organs. However, because of the presence of excessive noise, the IVIM parameter maps obtained from pixel-wise fitting are often unreliable. In this study, we propose a kernelized total difference-based curve-fitting method to estimate the IVIM parameters. Simulated DW-MRI data at five signal-to-noise ratios (i.e., 10, 20, 30, 50, and 100) and real abdominal DW-MRI data acquired on a 1.5-T MRI scanner with nine b-values (i.e., 0, 10, 25, 50, 100, 200, 300, 400, and 500 s/mm2) and six diffusion-encoding gradient directions were used to evaluate the performance of the proposed method. The results were compared with those obtained by three existing methods: trust-region reflective (TRR) algorithm, Bayesian probability (BP), and deep neural network (DNN). Our simulation results showed that the proposed method outperformed the other three comparing methods in terms of root-mean-square error. Moreover, the proposed method could preserve small details in the estimated IVIM parameter maps. The experimental results showed that, compared with the TRR method, the proposed method as well as the BP (and DNN) method could reduce the overestimation of the pseudodiffusion coefficient and improve the quality of IVIM parameter maps. For all studied abdominal organs except the pancreas, both the proposed method and the BP method could provide IVIM parameter estimates close to the reference values;the former had higher precision. The kernelized total difference-based curve-fitting method has the potential to improve the reliability of IVIM parametric imaging. © 2024 John Wiley & Sons Ltd.

关键词： Magnetic resonance imaging

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