检索结果-内蒙古大学图书馆

SSRN 2019年

作者： Lee, Jae Sang Shin, Byung Ho Yoo, Byoung Yong Nam, Sun-Young Lee, Miji Park, Hansoo Choy, Young Bin Heo, Chan Yeong Koh, Won-Gun Department of Chemical and Biomolecular Engineering Yonsei University Seoul03722 Korea Republic of Department of Biomedical Engineering College of Medicine Seoul National University Seoul03080 Korea Republic of Interdisciplinary Program for Bioengineering College of Engineering Seoul National University Seoul08826 Korea Republic of Institute of Medical & Biological Engineering Medical Research Center Seoul National University Seoul03080 Korea Republic of Department of Plastic and Reconstructive Surgery College of Medicine Seoul National University Seoul03080 Korea Republic of Department of Plastic and Reconstructive Surgery Seoul National University Bundang Hospital Seongnam13620 Korea Republic of School of Integrative Engineering Chung-Ang University Korea Republic of

The surface of poly(dimethylsiloxane) (PDMS) was grafted with poly(acrylic acid) (PAA) layers via surface-initiated photopolymerization to suppress the capsular contracture resulting from a foreign body reaction. Owing to the nature of photo-induced polymerization, various PAA micropatterns could be fabricated using photolithography. Hole and stripe micropatterns approximately 100-μm wide and 3-μm thick were grafted onto the PDMS surface without delamination. The incorporation of PAA micropatterns provided not only chemical cues by hydrophilic PAA microdomains but also topographical cues by hole or stripe micropatterns. In vitro studies revealed that a PAA-grafted PDMS surface had a lower proliferation of both macrophages and fibroblasts regardless of the pattern presence. However, PDMS with PAA micropatterns, especially stripe micropatterns, minimized the aggregation of fibroblasts and their subsequent differentiation into myofibroblasts. An in vivo study also showed that PDMS samples with stripe micropatterns polarized macrophages into anti-inflammatory M2 macrophages and most effectively inhibited capsular contracture, which was demonstrated by investigating the inflammation score, transforming-growth-factor-β expression, number of macrophages, and myofibroblasts as well as the collagen density and capsule thickness. © 2019, The Authors. All rights reserved.

关键词： Macrophages

来源：评论

学校读者我要写书评

暂无评论

The autocrine glycosylated-GREM1 interacts with TGFB1 to suppress TGFβ/BMP/SMAD-mediated EMT partially by inhibiting MYL9 transactivation in urinary carcinoma

引用

Cellular oncology (Dordrecht, Netherlands) 2023年第4期46卷 933-951页

作者： Ti-Chun Chan Cheng-Tang Pan Hsin-Yu Hsieh Pichpisith Pierre Vejvisithsakul Ren-Jie Wei Bi-Wen Yeh Wen-Jeng Wu Lih-Ren Chen Meng-Shin Shiao Chien-Feng Li Yow-Ling Shiue Department of Medical Research Chi-Mei Medical Center Tainan 71004 Taiwan. National Institute of Cancer Research National Health Research Institutes Tainan 71004 Taiwan. Institute of Precision Medicine College of Medicine National Sun Yat-Sen University Kaohsiung 80424 Taiwan. Department of Mechanical and Electro-Mechanical Engineering National Sun Yat-Sen University Kaohsiung 80424 Taiwan. Institute of Advanced Semiconductor Packaging and Testing College of Semiconductor and Advanced Technology Research National Sun Yat-Sen University Kaohsiung 80424 Taiwan. Institute of Biomedical Sciences College of Medicine National Sun Yat-Sen University Kaohsiung 80424 Taiwan. Program in Translational Medicine Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok 10400 Thailand. Department of Pathology Kaohsiung Armed Forces General Hospital Kaohsiung 80284 Taiwan. Institute of Medical Science and Technology School of Medicine National Sun Yat-Sen University Kaohsiung 80424 Taiwan. Department of Medical Laboratory Sciences and Biotechnology Fooyin University Kaohsiung 83102 Taiwan. Department of Urology School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80708 Taiwan. Department of Urology Kaohsiung Medical University Hospital Kaohsiung 80708 Taiwan. Graduate Institute of Clinical Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80708 Taiwan. Regenerative Medicine and Cell Therapy Research Center Kaohsiung Medical University Kaohsiung 80708 Taiwan. Division of Physiology Livestock Research Institute Tainan 71246 Taiwan. Research Center Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok 10400 Thailand. Department of Medical Research Chi-Mei Medical Center Tainan 71004 Taiwan. angelo.p@yahoo.com.tw. National Institute of Cancer Research National Health Research Institutes Tainan 71004 Taiwan. angelo.p@yahoo.com.tw. Institute of Precision Medicine College of Medicine Nat

PURPOSE:Urothelial carcinoma (UC) is a common disease in developed counties. This study aimed to identify autocrine roles and signaling pathways of gremlin 1, DAN family BMP antagonist (GREM1), which inhibits tumor growth and epithelial-mesenchymal transition (EMT) in UC. METHODS:Systematic in vitro and in vivo studies using genetic engineering, different urinary bladder urothelial carcinoma (UBUC)-derived cell lines, and mouse models were performed, respectively. Further, primary upper tract urothelial carcinoma (UTUC) and UBUC specimens were evaluated by immunohistochemistry. RESULTS:GREM1 protein levels conferred better disease-specific and metastasis-free survival rates and played an independent prognostic factor in UTUC and UBUC. Hypermethylation is the primary cause of low GREM1 levels. In different UBUC-derived cell lines, the autocrine/secreted and glycosylated GREM1 interacted with transforming growth factor beta 1 (TGFB1) and inhibited TGFβ/BMP/SMAD signaling and myosin light chain 9 (MYL9) transactivation, subsequently cell proliferation and epithelial-mesenchymal transition (EMT). Secreted and glycosylated GREM1 also suppressed tumor growth, metastasis, and MYL9 levels in the mouse model. Instead, cytosolic GREM1 promoted cell proliferation and EMT by activating the tumor necrosis factor (TNF)/AKT/nuclear factor kappa B (NFκB) axis. CONCLUSIONS:Clinical associations, animal models, and in vitro indications provided solid evidence to show that the epithelial autocrine GREM1 is a novel tumor suppressor in UCs. The glycosylated-GREM1 hampered cell proliferation, migration, invasion, and in vitro angiogenesis through interaction with TGFB1 to inactivate TGFβ/BMP/SMAD-mediated EMT in an autocrine manner.

关键词： Autocrine Epithelial-mesenchymal transition GREM1 TGFβ Urothelial carcinoma

来源：评论

学校读者我要写书评

暂无评论

Paired plasma lipidomics and proteomics analysis in the conversion from mild cognitive impairment to Alzheimer's disease

引用

Computers in Biology and Medicine 2024年 176卷 108588-108588页

作者： Gómez-Pascual, Alicia Naccache, Talel Xu, Jin Hooshmand, Kourosh Wretlind, Asger Gabrielli, Martina Lombardo, Marta Tiffany Shi, Liu Buckley, Noel J. Tijms, Betty M. Vos, Stephanie J.B. ten Kate, Mara Engelborghs, Sebastiaan Sleegers, Kristel Frisoni, Giovanni B. Wallin, Anders Lleó, Alberto Popp, Julius Martinez-Lage, Pablo Streffer, Johannes Barkhof, Frederik Zetterberg, Henrik Visser, Pieter Jelle Lovestone, Simon Bertram, Lars Nevado-Holgado, Alejo J. Gualerzi, Alice Picciolini, Silvia Proitsi, Petroula Verderio, Claudia Botía, Juan A. Legido-Quigley, Cristina Department of Information and Communications Engineering Faculty of Informatics University of Murcia Murcia Spain Steno Diabetes Center Copenhagen Herlev Denmark Department of Data Science City University of London United Kingdom Institute of Pharmaceutical Science King's College London London United Kingdom CNR Institute of Neuroscience Vedano al Lambro20854 Italy School of Medicine and Surgery University of Milano-Bicocca 20126 Italy Oxford United Kingdom Department of Psychiatry University of Oxford United Kingdom Kavli Institute for Nanoscience Discovery Denmark Alzheimer Center VU University Medical Center Amsterdam Netherlands Department of Psychiatry and Neuropsychology Alzheimer Centrum Limburg Maastricht University Maastricht Netherlands Department of Biomedical Sciences University of Antwerp Antwerp Belgium Vrije Universiteit Brussel Brussels Belgium Complex Genetics Group VIB Center for Molecular Neurology VIB Antwerp Belgium Institute Born-Bunge Department of Biomedical Sciences University of Antwerp Antwerp Belgium University of Geneva Geneva Switzerland IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy Institute of Neuroscience and Physiology Sahlgrenska Academy at University of Gothenburg Gothenburg Sweden Barcelona Spain Old age psychiatry University Hospital of Lausanne University of Lausanne Switzerland Department of Geriatric Psychiatry University Hospital of Psychiatry Zürich University of Zürich Switzerland CITA-Alzheimer Foundation San Sebastian Spain AC Immune SA formerly Janssen R&D LLC. Beerse Belgium at the time of study conduct Lausanne Switzerland Department of Radiology and Nuclear Medicine Amsterdam UMC Vrije Universiteit Netherlands Queen Square Institute of Neurology and Centre for Medical Image Computing University College London United Kingdom Clinical Neurochemistry Laboratory Sahlgrenska University Hospital Mölndal Sweden Department of Psychiatry and Neurochemistry Institute of

Background: Alzheimer's disease (AD) is a neurodegenerative condition for which there is currently no available medication that can stop its progression. Previous studies suggest that mild cognitive impairment (MCI) is a phase that precedes the disease. Therefore, a better understanding of the molecular mechanisms behind MCI conversion to AD is needed. Method: Here, we propose a machine learning-based approach to detect the key metabolites and proteins involved in MCI progression to AD using data from the European Medical Information Framework for Alzheimer's Disease Multimodal Biomarker Discovery Study. Proteins and metabolites were evaluated separately in multiclass models (controls, MCI and AD) and together in MCI conversion models (MCI stable vs converter). Only features selected as relevant by 3/4 algorithms proposed were kept for downstream analysis. Results: Multiclass models of metabolites highlighted nine features further validated in an independent cohort (0.726 mean balanced accuracy). Among these features, one metabolite, oleamide, was selected by all the algorithms. Further in-vitro experiments in rodents showed that disease-associated microglia excreted oleamide in vesicles. Multiclass models of proteins stood out with nine features, validated in an independent cohort (0.720 mean balanced accuracy). However, none of the proteins was selected by all the algorithms. Besides, to distinguish between MCI stable and converters, 14 key features were selected (0.872 AUC), including tTau, alpha-synuclein (SNCA), junctophilin-3 (JPH3), properdin (CFP) and peptidase inhibitor 15 (PI15) among others. Conclusions: This omics integration approach highlighted a set of molecules associated with MCI conversion important in neuronal and glia inflammation pathways. © 2024 The Authors

关键词： Metabolites

来源：评论

学校读者我要写书评

暂无评论

Author Correction: A comprehensive human embryo reference tool using single-cell RNA-sequencing data

引用

Nature methods 2025年第3期22卷 636页

作者： Cheng Zhao Alvaro Plaza Reyes John Paul Schell Jere Weltner Nicolás M Ortega Yi Zheng Åsa K Björklund Laura Baqué-Vidal Joonas Sokka Ras Trokovic Brian Cox Janet Rossant Jianping Fu Sophie Petropoulos Fredrik Lanner Department of Clinical Science Intervention and Technology Karolinska Institutet and Division of Obstetrics and Gynecology Karolinska Universitetssjukhuset Stockholm Sweden. Department of Integrative Pathophysiology and Therapy Andalusian Molecular Biology and Regenerative Medicine Centre (CABIMER) Seville Spain. Stem Cells and Metabolism Research Program University of Helsinki Helsinki Finland. Folkhälsan Research Center Helsinki Finland. Department of Mechanical Engineering University of Michigan Ann Arbor MI USA. Department of Biomedical and Chemical Engineering Syracuse University Syracuse NY USA. Department of Cell and Molecular Biology National Bioinformatics Infrastructure Sweden Science for Life Laboratory Uppsala University Uppsala Sweden. Department of Physiology Faculty of Medicine University of Toronto Toronto Ontario Canada. Program in Developmental and Stem Cell Biology Hospital for Sick Children Toronto Ontario Canada. Department of Cell and Developmental Biology University of Michigan Medical School Ann Arbor MI USA. Department of Biomedical Engineering University of Michigan Ann Arbor MI USA. Department of Clinical Science Intervention and Technology Karolinska Institutet and Division of Obstetrics and Gynecology Karolinska Universitetssjukhuset Stockholm Sweden. sophie.petropoulos@ki.se. Département de Médecine Université de Montréal Montreal Quebec Canada. sophie.petropoulos@ki.se. Centre de Recherche du Centre Hospitalier de l'Université de Montréal Axe Immunopathologie Montreal Quebec Canada. sophie.petropoulos@ki.se. Department of Clinical Science Intervention and Technology Karolinska Institutet and Division of Obstetrics and Gynecology Karolinska Universitetssjukhuset Stockholm Sweden. fredrik.lanner@ki.se. Ming Wai Lau Center for Reparative Medicine Stockholm Node Karolinska Institutet Stockholm Sweden. fredrik.lanner@ki.se.

来源：评论

学校读者我要写书评

暂无评论

Thickness and temperature dependency of variation of dielectric functions of phase-change VO2 film

Thickness and temperature dependency of variation of dielect...

引用

OptoElectronics and Communications Conference, OECC

作者： Sun-Je Kim Sungwook Choi Jangwoon Sung Yong Wook Lee Byoungho Lee Inter-University Semiconductor Research Center and School of Electrical and Computer Engineering Seoul National University Seoul Korea Interdisciplinary Program of Biomedical Mechanical & Electrical Engineering and School of Electrical Engineering Pukyong National University Busan South Korea

In this paper, temperature- and thickness-dependent variation of dielectric functions of VO 2 film deposited by pulsed-laser deposition is characterized at both insulating and metallic phases by ellipsometry.

ISBN: (纸本)9781538691465

关键词： Dielectrics Optical films Optical refraction Optical variables control Temperature Temperature measurement Temperature dependence

来源：评论

学校读者我要写书评

暂无评论

Dental composite resin: A review

引用

AIP Conference Proceedings 2019年第1期2193卷

作者： Yori Rachmia Riva Siti Fauziyah Rahman 1Biomedical Engineering Study Program Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia

Composite resin is one of dental material restoration that used in every dental office nowadays. Dental amalgam restoration had several problems in aesthetic and biocompatibility in oral cavity. To overcome the problem, dental composite resin which has great aesthetic, biocompatibility, physical, and mechanical properties has been developed. Composite resins are filled resin and have high compressive strength, abrasion resistance, ease of application, and high translucency. The objective of this review article is to review about dental composite resin including the composition, polymerization process, classification, and physical properties (water sorption, solubility, and polymerization shrinkage) of dental composite resin. Literature relating to dental composite resin and measurement of several physical properties, research methodologies, and contributing factors are selected and reviewed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Retraction notice to "Corrigendum to 'Aptamer/doxorubicin-conjugated nanoparticles target membranous CEMIP2 in colorectal cancer' [International Journal of Biological Macromolecules 248 (2023) 125782]"

引用

International journal of biological macromolecules 2025年 293卷 138913页

作者： Maryam Kianpour Ching-Wen Huang Pichpisith Pierre Vejvisithsakul Jaw-Yuan Wang Chien-Feng Li Meng-Shin Shiao Cheng-Tang Pan Yow-Ling Shiue Institute of Biomedical Sciences College of Medicine National Sun Yat-sen University Kaohsiung 80424 Taiwan. Division of Colorectal Surgery Department of Surgery Kaohsiung Medical University Hospital Kaohsiung Medical University Kaohsiung 80756 Taiwan Department of Surgery Faculty of Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80756 Taiwan. Institute of Biomedical Sciences College of Medicine National Sun Yat-sen University Kaohsiung 80424 Taiwan Program in Translational Medicine Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok 10400 Thailand. Department of Surgery Faculty of Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80756 Taiwan Pingtung Hospital Ministry of Health and Welfare Pingtung 900214 Taiwan Graduate Institute of Clinical Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80756 Taiwan Graduate Institute of Medicine College of Medicine Medical University Kaohsiung 80756 Taiwan Center for Cancer Research Kaohsiung Medical University Kaohsiung 80756 Taiwan. Department of Medical Research Chi Mei Medical Center Tainan 71004 Taiwan Department of Pathology Chi Mei Medical Center Tainan 71004 Taiwan National Institute of Cancer Research National Health Research Institutes Tainan 70456 Taiwan. Research Center Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok 10400 Thailand. Institute of Precision Medicine College of Medicine National Sun Yat-sen University Kaohsiung 80424 Taiwan Department of Mechanical and Electro-Mechanical Engineering National Sun Yat-sen University Kaohsiung 80424 Taiwan.

来源：评论

学校读者我要写书评

暂无评论

Retraction notice to "Aptamer/doxorubicin-conjugated nanoparticles target membranous CEMIP2 in colorectal cancer" [International Journal of Biological Macromolecules 245 (2023) 125510]

引用

International journal of biological macromolecules 2025年 293卷 138914页

作者： Maryam Kianpour Ching-Wen Huang Pichpisith Pierre Vejvisithsakul Jaw-Yuan Wang L Chien-Feng Meng-Shin Shiao Cheng-Tang Pan Yow-Ling Shiue Institute of Biomedical Sciences College of Medicine National Sun Yat-sen University Kaohsiung 80424 Taiwan. Division of Colorectal Surgery Department of Surgery Kaohsiung Medical University Hospital Kaohsiung Medical University Kaohsiung 80756 Taiwan Department of Surgery Faculty of Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80756 Taiwan. Institute of Biomedical Sciences College of Medicine National Sun Yat-sen University Kaohsiung 80424 Taiwan Program in Translational Medicine Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok 10400 Thailand. Department of Surgery Faculty of Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80756 Taiwan Pingtung Hospital Ministry of Health and Welfare Pingtung 900214 Taiwan Graduate Institute of Clinical Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80756 Taiwan Graduate Institute of Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80756 Taiwan Center for Cancer Research Kaohsiung Medical University Kaohsiung 80756 Taiwan. Department of Medical Research Chi Mei Medical Center Tainan 71004 Taiwan Department of Pathology Chi Mei Medical Center Tainan 71004 Taiwan National Institute of Cancer Research National Health Research Institutes Tainan 70456 Taiwan. Research Center Faculty of Medicine Ramathibodi Hospital Mahidol University Bangkok 10400 Thailand. Institute of Precision Medicine College of Medicine National Sun Yat-sen University Kaohsiung 80424 Taiwan Department of Mechanical and Electro-Mechanical Engineering National Sun Yat-sen University Kaohsiung 80424 Taiwan.

来源：评论

学校读者我要写书评

暂无评论

A markov-switching model approach to heart sound segmentation and classification

arXiv

引用

arXiv 2018年

作者： Noman, Fuad Salleh, Sh-Hussain Ting, Chee-Ming Balqis Samdin, S. Ombao, Hernando Hussain, Hadri Center for Biomedical Engineering Faculty of Biosciences and Medical Engineering Universiti Teknologi Malaysia Skudai Johor81310 Malaysia Center for Biomedical Engineering Faculty of Biosciences and Medical Engineering Universiti Teknologi Malaysia Skudai Johor81310 Malaysia Statistics Program King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia

Objective: This paper considers challenges in developing algorithms for accurate segmentation and classification of heart sound (HS) signals. Methods: We propose an approach based on Markov switching autoregressive model (MSAR) to segmenting the HS into four fundamental components each with distinct second-order structure. The identified boundaries are then utilized for automated classification of pathological HS using the continuous density hidden Markov model (CD-HMM). The MSAR formulated in a state-space form is able to capture simultaneously both the continuous hidden dynamics in HS, and the regime switching in the dynamics using a discrete Markov chain. This overcomes the limitation of HMM which uses a single-layer of discrete states. We introduce three schemes for model estimation: (1.) switching Kalman filter (SKF);(2.) refined SKF;(3.) fusion of SKF and the duration-dependent Viterbi algorithm (SKF-Viterbi). Results: The proposed methods are evaluated on Physionet/CinC Challenge 2016 database. The SKF-Viterbi significantly outperforms SKF by improvement of segmentation accuracy from 71% to 84.2%. The use of CD-HMM as a classifier and Mel-frequency cepstral coefficients (MFCCs) as features can characterize not only the normal and abnormal morphologies of HS signals but also morphologies considered as unclassifiable (denoted as X-Factor). It gives classification rates with best gross F1 score of 90.19 (without X-Factor) and 82.7 (with X-Factor) for abnormal beats. Conclusion: The proposed MSAR approach for automatic localization and detection of pathological HS shows a noticeable performance on large HS dataset. Significance: It has potential applications in heart monitoring systems to assist cardiologists for pre-screening of heart pathologies. Copyright © 2018, The Authors. All rights reserved.

关键词： Switching

来源：评论

学校读者我要写书评

暂无评论

Anti-Inflammatory Glycosides from Gomphandra mollis Merr.: Structural Elucidation and Mechanistic Insights

引用

Phytochemistry 2025年 114583页

作者： Quoc-Dung Tran Huynh Thuy-Tien Thi Phan Man-Hsiu Chu Thanh-Vu Nguyen Truc-Ly Thi Duong Su-Jung Hsu Yun-Han Wang Ngoc-Thac Pham Bien-Thuy Nguyen Bui Dang-Khoa Nguyen Thanh-Hoa Vo Ta-Wei Liu Ching-Kuo Lee Ph.D. Program in Clinical Drug Development of Herbal Medicine College of Pharmacy Taipei Medical University Taipei 11031 Taiwan Institute of Pharmaceutical Education and Research Binh Duong University Thu Dau Mot 820000 Binh Duong Vietnam Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan School of Pharmacy College of Pharmacy Taipei Medical University Taipei 11042 Taiwan Biotechnology Center Of Ho Chi Minh City Ho Chi Minh 700000 Vietnam Faculty of Traditional medicine Can Tho University of Medicine and Pharmacy Can Tho 900000 Vietnam Faculty of Pharmacy Can Tho University of Medicine and Pharmacy Can Tho 900000 Vietnam Institute of Fisheries Science National Taiwan University Taipei 106 Taiwan National Research Institute of Chinese Medicine Ministry of Health and Welfare Taipei 11221 Taiwan University of Health Sciences Vietnam National University Ho Chi Minh City Ho Chi Minh 700000 Vietnam School of Pharmacy University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh City 700000 Vietnam Center for Discovery and Development of Healthcare Product Vietnam National University Ho Chi Minh City Ho Chi Minh 700000 Vietnam Institute of Pharmaceutical Sciences Department of Pharmacognosy University of Graz Universitätsplatz 4 8010 Graz Austria Graduate Institute of Pharmacognosy College of Pharmacy Taipei Medical University Taipei 11042 Taiwan Department of Chemistry Chung Yuan Christian University Zhongli District Taoyuan 32023 Taiwan

Eight previously unreported glycosides, designated gomphandranosides I–VIII, along with nine known compounds, were isolated from the roots of Gomphandra mollis Merr. Their structures were elucidated through comprehensive spectroscopic analyses, including NMR, HR-ESI-MS, CD, DP4+ probability, and ECD calculations. The anti-inflammatory activities of the isolated compounds were assessed using nitric oxide inhibition assays in LPS-stimulated RAW264.7 macrophages. Compounds 5 , 10 , and 16 exhibited significant anti-inflammatory activity with IC 50 values of 7.56 ± 0.9, 15.0 ± 1.2, and 14.2 ± 0.9 μM, respectively. Network pharmacology, gene ontology, Kyoto Encyclopedia of Genes and Genomes analysis, and molecular docking studies identified IL-6, TNF-α, MMP9, PTGS2, and HIF1A as key targets, with potentially involved in the NF- κ B and IL-17 signaling pathways. These findings highlight G. mollis as a promising candidate for the treatment of inflammation-related diseases.

关键词： Gomphandra mollis Stemonuraceae anti-inflammatory activity molecular docking network pharmacology

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：