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Sustained-release genistein from nanostructured lipid carrier suppresses human lens epithelial cell growth

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International Journal of Ophthalmology(English edition) 2016年第5期9卷 643-649页

作者： Jin-Lu Liu Wen-Ji Zhang Xue-Dong Li Na Yang wei-san pan Jun Kong Jin-Song Zhang Department of Ophthalmology the Fourth Affiliated Hospital of China Medical UniversityEye Hospital of China Medical UniversityKey Lens Research Laboratory of Liaoning Province Department of Pharmaceutics School of PharmacyShenyang Pharmaceutical University

AIM： To design and investigate the efficacy of a modified nanostructured lipid carrier loaded with genistein（Gen-NLC） to inhibit human lens epithelial cells（HLECs） proliferation.·METHODS： Gen-NLC was made by melt emulsification method. The morphology, particle size（PS）, zeta potentials（ZP）, encapsulation efficiency（EE） and in vitro release were characterized. The inhibition effect of nanostructured lipid carrier（NLC）, genistein（Gen） and Gen-NLC on HLECs proliferation was evaluated by cell counting kit-8（CCK-8） assay, gene and protein expression of the proliferation marker Ki67 were evaluated with real-time quantitative polymerase chain reaction（RT-q PCR） and immunofluorescence analyses.·RESULTS： The mean PS of Gen-NLC was 80.12±1.55 nm with a mean polydispersity index of 0.11±0.02. The mean ZP was-7.14 ±0.38 m V and the EE of Gen in the nanoparticles was 92.3% ±0.73%. Transmission electron microscopy showed that Gen-NLC displayed spherical-shaped particles covered by an outer-layer structure. In vitro release experiments demonstrated a prolonged drug release for 72 h. The CCK-8 assay results showed the NLC had no inhibitory effect on HLECs and Gen-NLC displayed a much more prominent inhibitory effect on cellular growth compared to Gen of the same concentration. The m RNA and protein expression of Ki67 in LECs decreased significantly in Gen-NLC group.·CONCLUSION： Sustained drug release by Gen-NLCs may impede HLEC growth.

关键词： posterior capsular opacification genistein nanostructured lipid carrier human lens epithelial cells

Stiffness-tunable biomaterials provide a good extracellular matrix environment for axon growth and regeneration

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Neural Regeneration Research 2025年第5期20卷 1364-1376页

作者： Ronglin Han Lanxin Luo Caiyan wei Yaru Qiao Jiming Xie Xianchao pan Juan Xing Department of Pathophysiology School of Basic Medical SciencesSouthwest Medical UniversityLuzhouSichuan ProvinceChina Department of Medicinal Chemistry School of PharmacySouthwest Medical UniversityLuzhouSichuan ProvinceChina

Neuronal growth, extension, branching, and formation of neural networks are markedly influenced by the extracellular matrix—a complex network composed of proteins and carbohydrates secreted by cells. In addition to providing physical support for cells, the extracellular matrix also conveys critical mechanical stiffness cues. During the development of the nervous system, extracellular matrix stiffness plays a central role in guiding neuronal growth, particularly in the context of axonal extension, which is crucial for the formation of neural networks. In neural tissue engineering, manipulation of biomaterial stiffness is a promising strategy to provide a permissive environment for the repair and regeneration of injured nervous tissue. Recent research has fine-tuned synthetic biomaterials to fabricate scaffolds that closely replicate the stiffness profiles observed in the nervous system. In this review, we highlight the molecular mechanisms by which extracellular matrix stiffness regulates axonal growth and regeneration. We highlight the progress made in the development of stiffness-tunable biomaterials to emulate in vivo extracellular matrix environments, with an emphasis on their application in neural repair and regeneration, along with a discussion of the current limitations and future prospects. The exploration and optimization of the stiffness-tunable biomaterials has the potential to markedly advance the development of neural tissue engineering.

关键词： alginate axon growth biomaterials extracellular matrix neural repair neurons neuroregeneration polyacrylamide polydimethylsiloxane stiffness

Small modifications of endo-functionalized cavities lead to large changes in molecular interaction in water

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Science China Chemistry 2025年第01期 369-376页

作者： Song-Meng Wang Hao Nian Yan-Fang Wang Li-Shuo Zheng Yu-Tao Zheng Yi-wei Dong Liping Huang Xiaoping Wang wei Jiang Liu-pan Yang Department of Chemistry Southern University of Science and Technology School of Chemistry and Pharmaceutical Sciences State Key Laboratory for Chemistry and Molecular Engineering of Medicinal ResourcesGuangxi Normal University School of Pharmaceutical Science Hengyang Medical School University of South China

Studying molecular recognition in aqueous environments is crucial for understanding biological processes. Herein, we present a series of N-doped endo-functionalized anthracene-based cavities by introducing inward-directed pyridine units. The subtle modifications can significantly affect the binding properties of these receptors, which is similar to the mutations in biological systems. Combining theoretical calculations and molecular recognition experiments demonstrated that these “mutations” have an impact on the hydrophobicity and charge distribution of the hosts, consequently significantly influencing molecular *** is crucial for understanding the intricate mechanisms of molecular-level interactions in biological receptors.

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Unlocking the future:Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response

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World Journal of Clinical Oncology 2025年第1期16卷 43-52页

作者： Zhi-Jian Tang Yuan-Ming pan wei Li Rui-Qiong Ma Jian-Liu Wang Department of Obstetrics and Gynecology Peking University People’s HospitalBeijing 100044China Cancer Research Center Beijing Chest HospitalBeijing 101149China Department of Thoracic Surgery Sichuan Provincial People's HospitalChengdu 610072Sichuan ProvinceChina

BACKGROUND Mitochondrial genes are involved in tumor metabolism in ovarian cancer(OC)and affect immune cell infiltration and treatment *** To predict prognosis and immunotherapy response in patients diagnosed with OC using mitochondrial genes and neural *** Prognosis,immunotherapy efficacy,and next-generation sequencing data of patients with OC were downloaded from The Cancer Genome Atlas and Gene Expression *** genes were sourced from the MitoCarta3.0 *** discovery cohort for model construction was created from 70% of the patients,whereas the remaining 30% constituted the validation *** the expression of mitochondrial genes as the predictor variable and based on neural network algorithm,the overall survival time and immunotherapy efficacy(complete or partial response)of patients were *** In total,375 patients with OC were included to construct the prognostic model,and 26 patients were included to construct the immune efficacy *** average area under the receiver operating characteristic curve of the prognostic model was 0.7268[95% confidence interval(CI):0.7258-0.7278]in the discovery cohort and 0.6475(95%CI:0.6466-0.6484)in the validation *** average area under the receiver operating characteristic curve of the immunotherapy efficacy model was 0.9444(95%CI:0.8333-1.0000)in the discovery cohort and 0.9167(95%CI:0.6667-1.0000)in the validation *** The application of mitochondrial genes and neural networks has the potential to predict prognosis and immunotherapy response in patients with OC,providing valuable insights into personalized treatment strategies.

关键词： Ovarian cancer Mitochondria Prognosis Immunotherapy Neural network

Correlation between gut microbiota and tumor immune microenvironment:A bibliometric and visualized study

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World Journal of Clinical Oncology 2025年第2期16卷 110-129页

作者： Zheng-Jun Hu Hui-Rong Zhu Yong-Jie Jin pan Liu Xiao-wei Yu Yu-Ren Zhang Department of Oncology Shanghai Jiading District Hospital of Traditional Chinese MedicineShanghai 200000China Department of Oncology Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese MedicineShanghai 200000China School of Chinese Medicine Anhui University of Traditional Chinese MedicineHefei 230000Anhui ProvinceChina

BACKGROUND In recent years,numerous reports have been published regarding the relationship between the gut microbiota and the tumor immune microenvironment(TIME).However,to date,no systematic study has been conducted on the relationship between gut microbiota and the TIME using bibliometric *** To describe the current global research status on the correlation between gut microbiota and the TIME,and to identify the most influential countries,research institutions,researchers,and research hotspots related to this *** We searched for all literature related to gut microbiota and TIME published from January 1,2014,to May 28,2024,in the Web of Science Core Collection *** then conducted a bibliometric analysis and created visual maps of the published literature on countries,institutions,authors,keywords,references,etc.,using CiteSpace(6.2R6),VOSviewer(1.6.20),and bibliometrics(based on R 4.3.2).RESULTS In total,491 documents were included,with a rapid increase in the number of publications starting in *** country with the highest number of publications was China,followed by the United *** has the highest number of citations in *** a centrality perspective,the United States has the highest influence in this *** institutions with the highest number of publications were Shanghai Jiao Tong University and Zhejiang ***,the institution with the most citations was the United States National Cancer *** authors,Professor Giorgio Trinchieri from the National Institutes of Health has the most local impact in this *** most cited author was Fan *** results of journal publications showed that the top three journals with the highest number of published papers were Frontiers in Immunology,Cancers,and Frontiers in *** three most frequently used keywords were gut microbiota,tumor microenvironment,and *** This study systematically elaborates on the research progress re

关键词： Gut microbiota Tumor immune microenvironment Bibliometric CiteSpace VOSviewer R-bibliometrics

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尼美舒利大鼠在体肠吸收动力学

中国新药与临床杂志 2009年第2期28卷 130-133页

作者：洪丽娟潘卫三潘裕生周彩红颜廷旭聂淑芳沈阳药科大学药学院辽宁沈阳110016 北京中医药大学中药学院北京100102

目的研究尼美舒利的大鼠肠吸收动力学特征。方法运用大鼠在体单向灌流法进行肠吸收实验,收集灌流流出液,测定其质量,采用HPLC法测定灌流液中尼美舒利的含量,利用重量法计算动力学参数。结果灌流速度对药物吸收速率常数(K_a)和表观吸收系... 详细信息

目的研究尼美舒利的大鼠肠吸收动力学特征。方法运用大鼠在体单向灌流法进行肠吸收实验,收集灌流流出液,测定其质量,采用HPLC法测定灌流液中尼美舒利的含量,利用重量法计算动力学参数。结果灌流速度对药物吸收速率常数(K_a)和表观吸收系数(P_(app))影响显著(P0.05);药物在全肠道吸收较好,十二指肠、空肠、回肠和结肠的K_a值分别为(0.070±s 0.003)、(0.067±0.008)、(0.074±0.006)和(0.058 0±0.002 0)·min^(-1)。结论尼美舒利在大鼠肠道的吸收呈现一级动力学特征,且吸收机制为被动扩散。尼美舒利在整个肠道均有吸收。

关键词：尼美舒利灌流肠吸收药动学

RBF neural network based on q-Gaussian function in function approximation

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Frontiers of Computer Science 2011年第4期5卷 381-386页

作者： wei ZHAO Ye san Control and Simulation Center Harbin Institute of Technology Harbin 150001 China

To enhance the generalization performance of radial basis function （RBF） neural networks, an RBF neural network based on a q-Gaussian function is proposed. A q-Gaussian function is chosen as the radial basis function of the RBF neural network, and a particle swarm optimization algorithm is employed to select the parameters of the network. The non-extensive entropic index q is encoded in the particle and adjusted adaptively in the evolutionary process of population. Simulation results of the function approximation indicate that an RBF neural network based on q-Gaussian function achieves the best generalization performance.

关键词： radial basis function (RBF) neural network,q-Gaussian function particle swarm optimization algo-rithm function approximation

Activin A receptor type 1C single nucleotide polymorphisms associated with esophageal squamous cell carcinoma risk in Chinese population

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World Journal of Gastrointestinal Oncology 2025年第1期17卷 39-51页

作者： Si-Yun Lin Hou Huang Jin-Jie Yu Feng Su Tian Jiang Shao-Yuan Zhang Lu Lv Tao Long Hui-Wen pan Jun-Qing Qi Qiang Zhou wei-Feng Tang Guo-Wen Ding Li-Ming Wang Li-Jie Tan Jun Yin Department of Thoracic Surgery Zhongshan Hospital Affiliated to Fudan UniversityShanghai 200032China Shanghai Key Laboratory of Clinical Geriatric Medicine Huadong Hospital Affiliated to Fudan UniversityShanghai 200040China Department of Cardiothoracic Surgery The Affiliated People's Hospital of Jiangsu UniversityZhenjiang 212002Jiangsu ProvinceChina Department of Thoracic Surgery Sichuan Cancer Hospital&InstituteChengdu 610042Sichuan ProvinceChina Department of Cardiothoracic Surgery Nanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjing 210000Jiangsu ProvinceChina Department of Respiratory and Critical Care Medicine Shanghai Xuhui Central HospitalShanghai 200032China

BACKGROUND Transforming growth factor-β(TGF-β)superfamily plays an important role in tumor progression and *** A receptor type 1C(ACVR1C)is a TGF-βtype I receptor that is involved in tumorigenesis through binding to dif-ferent *** To evaluate the correlation between single nucleotide polymorphisms(SNPs)of ACVR1C and susceptibility to esophageal squamous cell carcinoma(ESCC)in Chinese Han *** In this hospital-based cohort study,1043 ESCC patients and 1143 healthy controls were *** SNPs(rs4664229,rs4556933,rs77886248,rs77263459,rs6734630)of ACVR1C were assessed by the ligation detection reaction ***-weinberg equilibrium test,genetic model analysis,stratified analysis,linkage disequi-librium test,and haplotype analysis were *** Participants carrying ACVR1C rs4556933 GA mutant had significantly decreased risk of ESCC,and those with rs77886248 TA mutant were related with higher risk,especially in older male *** the haplotype analysis,ACVR1C Trs4664229Ars4556933Trs77886248Crs77263459Ars6734630 increased risk of ESCC,while Trs4664229Grs4556933Trs77886248Crs77263459Ars6734630 was associated with lower susceptibility to *** ACVR1C rs4556933 and rs77886248 SNPs were associated with the susceptibility to ESCC,which could provide a potential target for early diagnosis and treatment of ESCC in Chinese Han population.

关键词： Activin A receptor type 1C Single nucleotide polymorphisms Esophageal squamous cell carcinoma Genetic susceptibility Hospital-based cohort study

Image-based 3D model retrieval using manifold learning

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Frontiers of Information Technology & Electronic Engineering 2018年第11期19卷 1397-1408页

作者： pan-pan MU san-yuan ZHANG Yin ZHANG Xiu-zi YE Xiang pan College of Computer Science and Technology Zhejiang University College of Mathematics and Information Science Wenzhou University College of Computer Science and Technology Zhejiang University of Technology

We propose a new framework for image-based three-dimensional(3D) model retrieval. We first model the query image as a Euclidean point. Then we model all projected views of a 3D model as a symmetric positive definite(SPD) matrix, which is a point on a Riemannian manifold. Thus, the image-based 3D model retrieval is reduced to a problem of Euclid-to-Riemann metric learning. To solve this heterogeneous matching problem, we map the Euclidean space and SPD Riemannian manifold to the same high-dimensional Hilbert space, thus shrinking the great gap between them. Finally, we design an optimization algorithm to learn a metric in this Hilbert space using a kernel trick. Any new image descriptors, such as the features from deep learning, can be easily embedded in our framework. Experimental results show the advantages of our approach over the state-of-the-art methods for image-based 3D model retrieval.

关键词： Model retrieval Euclidean space Riemannian manifold Hilbert space Metric learning