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Reynosin protects neuronal cells from microglial neuroinflammation by suppressing NLRP3 inflammasome activation mediated by NADPH oxidase

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Chinese Journal of Natural Medicines 2024年第6期22卷 486-500页

作者： YANG Yanqiu CHE yue FANG Mingxia YAO Xiaohu ZHOU Di WANG Feng chen Gang LIANG Dong LI Ning HOU yue Key Laboratory of Bioresource Research and Development of Liaoning Province College of Life and Health SciencesNorth-eastern UniversityShenyang 110000China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Key Laboratory of Data Analytics and Optimization for Smart IndustryMinistry of EducationNortheastern UniversityShenyang 110000China School of Traditional Chinese Materia Medica Key Laboratory of Innovative Traditional Chinese Medicine for Major Chronic Diseases of Liaoning provinceKey Laboratory for TCM Material Basis Study and Innovative Drug Development of Shenyang CityShenyang Pharmaceutical UniversityShenyang 110000China State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources School of Chemistry and Pharmaceutical SciencesGuangxi Normal UniversityGuilin 541000China

Neuroinflammation,mediated by the nucleotide-binding oligomerization domain-like receptor family pyrin domain-containing-3(NLRP3)inflammasome,is a significant contributor to the pathogenesis of neurodegenerative diseases(NDDs).Reynos-in,a natural sesquiterpene lactone(SL),exhibits a broad spectrum of pharmacological effects,suggesting its potential therapeutic ***,the effects and mechanism of reynosin on neuroinflammation remain *** current study explores the effects and mechanisms of reynosin on neuroinflammation using mice and BV-2 microglial cells treated with lipopolysaccharide(LPS).Our findings reveal that reynosin effectively reduces microglial inflammation in vitro,as demonstrated by decreased CD11b expression and lowered interleukin-1 beta(IL-1β)and interleukin-18(IL-18)mRNA and protein ***,in vivo,results showed a re-duction in the number of Iba-1 positive cells and alleviation of morphological alterations,alongside decreased expressions of IL-1βand *** analysis indicates that reynosin inhibits NLRP3 inflammasome activation,evidenced by reduced transcription of NLRP3 and caspase-1,diminished NLRP3 protein expression,inhibited apoptosis-associated speck-like protein containing a CARD(ASC)oli-gomerization,and decreased caspase-1 ***,reynosin curtailed the activation of nicotinamide adenine dinuc-leotide phosphate(NADPH)oxidase,demonstrated by reduced NADP^(+)and NADPH levels,downregulation of gp91^(phox) mRNA,pro-tein expression,suppression of p47^(phox) expression and translocation to the ***,reynosin exhibited a neuroprotective effect against microglial inflammation in vivo and in *** collective findings underscore reynosin’s capacity to mitigate mi-croglial inflammation by inhibiting the NLRP3 inflammasome,thus highlighting its potential as a therapeutic agent for managing neuroinflammation.

关键词： Microglia NLRP3 inflammasome Reactive oxygen species NADPH oxidase Neuron Reynosin

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Data-driven approach to predict the fatigue properties of ferrous metal materials using the cGAN and machine-learning algorithms

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Advances in Manufacturing 2024年第3期12卷 447-464页

作者： Si-Geng Li Qiu-Ren chen Li Huang Min chen chen-Di Wei Zhong-Jie yue Ru-Xue Liu Chao Tong Qing Liu School of Advanced Technology Xi’an Jiaotong-Liverpool UniversitySuzhou215123JiangsuPeople’s Republic of China Key Laboratory for Light-weight Materials Nanjing Tech UniversityNanjing210009People’s Republic of China Materials Bigdata and Application Division Material Academy JitriSuzhou215131JiangsuPeople’s Republic of China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai200240People’s Republic of China

The stress-life curve(S–N)and low-cycle strain-life curve(E–N)are the two primary representations used to characterize the fatigue behavior of a *** material fatigue curves are essential for structural fatigue ***,conducting material fatigue tests is expensive and *** address the challenge of data limitations on ferrous metal materials,we propose a novel method that utilizes the Random Forest Algorithm and transfer learning to predict the S–N and E–N curves of ferrous *** addition,a data-augmentation framework is introduced using a conditional generative adversarial network(cGAN)to overcome data *** incorporating the cGAN-generated data,the accuracy(R2)of the Random Forest Algorithm-trained model is improved by 0.3–*** is proven that the cGAN can significantly enhance the prediction accuracy of the machine-learning model and balance the cost of obtaining fatigue data from the experiment.

关键词： Fatigue life curve Machine learning Transfer learning Conditional generative adversarial network(cGAN)

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A Railway Fastener Inspection Method Based on Abnormal Sample Generation

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 565-592页

作者： Shubin Zheng yue Wang Liming Li Xieqi chen Lele Peng Zhanhao Shang Higher Vocational and Technical College Shanghai University of Engineering ScienceShanghai200437China School of Urban Railway Transportation Shanghai University of Engineering ScienceShanghai201620China Shanghai Engineering Research Centre of Vibration and Noise Control Technologies for Rail Transit Shanghai University of Engineering ScienceShanghai201620China

Regular fastener detection is necessary to ensure the safety of ***,the number of abnormal fasteners is significantly lower than the number of normal fasteners in real *** supervised inspectionmethods have insufficient detection ability in cases of imbalanced *** solve this problem,we propose an approach based on deep convolutional neural networks(DCNNs),which consists of three stages:fastener localization,abnormal fastener sample generation based on saliency detection,and fastener state ***,a lightweight YOLOv5s is designed to achieve fast and precise localization of fastener ***,the foreground clip region of a fastener image is extracted by the designed fastener saliency detection network(F-SDNet),combined with data augmentation to generate a large number of abnormal fastener samples and balance the number of abnormal and normal ***,a fastener inspection model called Fastener ResNet-8 is constructed by being trained with the augmented fastener *** show the effectiveness of our proposed method in solving the problem of sample imbalance in fastener *** and quantitative comparisons show that the proposed F-SDNet outperforms other state-of-the-art methods in clip region extraction,reaching MAE and max F-measure of 0.0215 and 0.9635,*** addition,the FPS of the fastener state inspection model reached 86.2,and the average accuracy reached 98.7%on 614 augmented fastener test sets and 99.9%on 7505 real fastener datasets.

关键词： Railway fastener sample generation inspection model deep learning

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A comparison of statistical learning of naturalistic textures between DCNNs and the human visual hierarchy

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Science China(Technological Sciences) 2024年第8期67卷 2310-2318页

作者： LU Xincheng YUAN ZiQi ZHANG YiChi ai HaiLin chenG SiYuan GE YiRan FANG Fang chen NiHong Department of Psychological and Cognitive Sciences Tsinghua UniversityBeijing 100084China IDG/McGovern Institute for Brain Research Tsinghua UniversityBeijing 100084China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health Peking UniversityBeijing 100871China Key Laboratory of Machine Perception(Ministry of Education) Peking UniversityBeijing 100871China Peking-Tsinghua Center for Life Sciences Peking UniversityBeijing 100871China IDG/McGovern Institute for Brain Research Peking UniversityBeijing 100871China State Key Laboratory of Brain and Cognitive Science Institute of PsychologyChinese Academy of SciencesBeijing 100101China

The visual system continuously adapts to the statistical properties of the environment. Existing evidence shows a close resemblance between deep convolutional neural networks(CNNs) and primate visual stream in neural selectivity to naturalistic textures above the primary visual processing stage. This study delves into the mechanisms of perceptual learning in CNNs,focusing on how they assimilate the high-order statistics of natural textures. Our results show that a CNN model achieves a similar performance improvement as humans, as manifested in the learning pattern across different types of high-order image statistics. While L2 was the first stage exhibiting texture selectivity, we found that stages beyond L2 were critically involved in learning. The significant contribution of L4 to learning was manifested both in the modulations of texture-selective responses and in the consequences of training with frozen connection weights. Our findings highlight learning-dependent plasticity in the mid-to-high-level areas of the visual hierarchy. This research introduces an ai-inspired approach for studying learning-induced cortical plasticity, utilizing DCNNs as an experimental framework to formulate testable predictions for empirical brain studies.

关键词： CNN perceptual learning naturalistic texture psychophysics

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Random Terpolymer of Carbon Dioxide,Butadiene and Epoxides:Synthesis,Functionalization and Degradability

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Chinese Journal of Chemistry 2024年第14期42卷 1630-1636页

作者： Zi Wang Wuyi Zheng Sicong yue Kaihao chen Jun Ling Xufeng Ni MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and EngineeringZhejiang UniversityHangzhouZhejiang310058 China Westlake Electronics Group Co. Ltd.HangzhouZhejiang310012 China

The utilization of carbon dioxide(CO_(2))as a C1 feedstock is consistently attractive,especially in the preparation of sustainable polymeric *** this contribution,a terpolymer of CO_(2),1,3-butadiene(BD)and epoxide is synthesized by scandium triflate catalyzed cationic ring-opening copolymerization ofα-ethylidene-δ-vinyl-δ-valerolactone(EVL),an intermediate derived from CO_(2)and BD,with *** obtained terpolymer with a CO_(2)content of 22 mol%has a number-average molecular weight(M_(n))up to 7.8 kg/mol and a dispersity(Đ)of *** reactivity ratios of EVL and cyclohexene oxide(CHO)are determined as 0.01 and 1.07,respectively,suggesting random characteristic of the *** preserved C=C double bonds from BD allow for the further modification of the terpolymer by photoinitiated *** yielded networks are fluorescent and *** method offers enhanced versatility to the synthesis and additional functionalization of CO_(2)-based polymers.

关键词： Ring-opening polymerization Copolymerization Carbon dioxide Butadiene Scandium triflate Fluorescence

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Microseismic source location using deep learning:A coal mine case study in China

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第9期16卷 3407-3418页

作者： yue Song Enyuan Wang Hengze Yang chengfei Liu Baolin Li Dong chen School of Safety Engineering China University of Mining and TechnologyXuzhou221116China State Key Laboratory of Coal Mine Disaster Prevention and Control China University of Mining and TechnologyXuzhou221116China School of Environment and Safety Engineering North University of ChinaTaiyuan030051China State Key Laboratory for Geomechanics&Deep Underground Engineering China University of Mining TechnologyXuzhou221116China

Microseismic source location is crucial for the early warning of rockburst ***,the conventional methods face challenges in terms of the microseismic wave velocity and arrival time *** techniques,such as the full convolutional neural network(FCNN),can capture spatial information but struggle with complex microseismic *** the FCNN with the long shortterm memory(LSTM)network enables better time-series signal classification by integrating multiscale information and is therefore suitable for waveform *** LSTM-FCNN model does not require extensive data preprocessing and it simplifies the microseismic source location through feature *** this study,we utilized the LSTM-FCNN as a regression learning model to locate the seismic ***,the method of short-time-average/long-time-average(STA/LTA)arrival time picking was employed to augment spatiotemporal ***,oversampling the on-site data was performed to address the issue of data imbalance,and finally,the performance of LSTM-FCNN was ***,we compared the LSTM-FCNN model with previous deep-learning *** results demonstrated remarkable location capabilities with a mean absolute error(MAE)of only 7.16 *** model can realize swift training and high accuracy,thereby significantly improving risk warning of rockbursts.

关键词： Microseismic source location Rockburst Deep learning Intelligent early warning

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Eco-friendly synthesis and environmental impact assessment of hierarchical Beta zeolite from kaolinite and recycled mother liquor

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Green Chemical Engineering 2024年第4期5卷 501-510页

作者： Guoxi Xiao Xiaoling chen Tiesen Li Chan Wang Qingyan Cui Yuanyuan yue National Engineering Research Center of Chemical Fertilizer Catalyst College of Chemical EngineeringFuzhou University Qingyuan Innovation Laboratory

The development of sustainable techniques to produce high-performance zeolite is essential to achieve green production in industry. Herein, we report an eco-friendly route to synthesizing hierarchical Beta zeolite from kaolinite and recycled mother liquor. The results reveal that the unutilized species（such as silicon species and Na+） in mother liquor stayed in a stable concentration during eleven recycled experiments. Moreover, the synthesized Beta zeolites still have comparable physicochemical properties and catalytic performance in the esterification of levulinic acid with ethanol over the initial zeolite although eleven recycled experiments. Life cycle assessment exhibits that the synthesis of Beta zeolite with recycled mother liquor can reduce global warming potential by 23% and resource depletion-water use by 36% compared to that without recycled mother liquor. This quantitatively demonstrates that the approach proposed in this work is really a sustainable one, extremely increasing the utilization efficiency of raw materials and decreasing the environmental burden.

关键词： Eco-friendly synthesis Hierarchical Beta zeolite Recycled mother liquor Life cycle assessment

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Salmonella Grumpensis Causing Diarrhea in Children—Shanghai Municipality,China,2023

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China CDC weekly 2024年第18期6卷 396-400,I0006,I0007页

作者： yue Liu Xuebin Xu Wenqin Wang Wenjia Xiao Yi Hu Xin chen Min chen Shanghai Municipal Center for Disease Control and Prevention ShanghaiChina Pudong New Area Center for Disease Control and Prevention ShanghaiChina Department of Epidemiology Key Laboratory of Public Health Safety of Ministry of EducationSchool of Public HealthFudan UniversityShanghaiChina

Summary What is already known about this topic?Foodborne diseases are a growing public health concern with a notable disease burden in *** is added by this report?Two children with diarrhea visited a healthcare facility within 24 hours on August 1 and 2,*** Grumpensis was detected in their stool samples by the public health *** genome sequencing(WGS)analysis revealed characteristics typical of outbreak *** the origin of the outbreak was unknown,the possibility of a hidden shared infection was deemed feasible.

关键词： diarrhea diseases Whole

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Chemokine-like factor 1 (CKLF1) is expressed in myocardial ischemia injury in vivo and in vitro

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BIOCELL 2024年第6期48卷 981-990页

作者： JULING FENG HAODONG chen YANGBO LIU QIDI ai YANTAO YANG LEI ZHAO SHIFENG CHU NaiHONG chen School of Pharmacy Department of PharmacyHunan Engineering Technology Center of Standardization and Function of Chinese Herbal Decoction PiecesHunan University of Chinese MedicineChangsha410208China Department of Pharmacology State Key Laboratory of Bioactive Substances and Functions of Natural MedicinesInstitute of Materia Medica&Neuroscience CenterChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100050China Department of Diagnostics Research Lab of Translational Medicine Hengyang Medical CollegeUniversity of South ChinaHengyang421001China Department of Gastrointestinal Surgery The First Affiliated HospitalHengyang Medical CollegeUniversity of South ChinaHengyang421001China

Introduction:Chemokine-like factor 1(CKLF1)is a chemokine that is overexpressed in several *** previousﬁndings revealed a signiﬁcant increase in CKLF1 expression in the ischemic brain,suggesting its potential as a therapeutic target for ischemic ***:In this study,we examined the expression dynamics of CKLF1 in both in vivo and in vitro models of ischemic cardiac *** infarction(MI)was induced in vivo by ligation of the left anterior descending artery(LAD)of the rat *** levels of CKLF1,Creatine Kinase MB Isoenzyme(CK-MB),and Lactate dehydrogenase(LDH)in the serum were detected using Enzyme-linked immunosorbent assay(ELISA).The expression of CKLF1 in the infarcted area was detected by immunohistochemistry,immunoﬂuorescence,quantitative PCR(qPCR),and Western blotting(WB).H9C2 and AC16 cardiomyocytes cultured in vitro were subjected to oxygen and glucose deprivation(OGD).LDH was used to detect cell damage,and CKLF1 expression was detected by qPCR and ***:CKLF1 mRNA and protein expression were signiﬁcantly increased in h9c2 cells at 1.5 h and in AC16 cells at 4 h after *** serum CK-MB in rats increased signiﬁcantly on theﬁrst day after infarction,while the LDH concentration increased signiﬁcantly on the third day after ***1 blood levels signiﬁcantly increased on theﬁrst day following MI in ***1 expression notably increased in the infarct area on days 1,3,and 7 *** MI tissue,CKLF1 colocalizes with cardiomyocytes,macrophages,and ***:CKLF1 was substantially expressed during myocardial ischemia injury both in vivo and in vitro and was colocalized with macrophages and neutrophils,indicating that CKLF1 is expected to be a biomarker and a drug target for the treatment of myocardial infarction.

关键词： Chemokine-like factor 1 Overexpression Myocardial infarction

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The Role of Renewable Protocatechol Acid in Epoxy Coating Modification: Significantly Improved Antibacterial and Adhesive Properties

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Chinese Journal of Polymer Science 2024年第1期42卷 63-72,I0008页

作者： Ming-Xuan chen Jin-yue Dai Li-yue Zhang Shuai-Peng Wang Jing-Kai Liu Yong-Gang Wu Xin-Wu Ba Xiao-Qing Liu School of Chemistry and Materials Science Hebei UniversityBaoding 071000China Ningbo Institute of Materials Technology and Engineering Chinese Academy of SciencesNingbo 315201China Key Laboratory of Marine Materials and Related Technologies Chinese Academy of SciencesNingbo 315201China

It is of great significance to design epoxy coatings with superior antibacterial properties and high adhesive properties, as well as excellent processing, superior durability, and high transparency. However, it is still a challenge because of the common complex design and synthesis. Herein, the bio-based monomer protocatechuic acid(PCA) was used as raw material, the catechol structure with high bonding and antibacterial properties was introduced into the flexible alkane segment of ethylene glycol diglycidyl ether(EGDE) through an efficient, and green method, and it was cured with isophorone diamine(IPDA) to prepare corresponding thermosets. The cured resins exhibited excellent allaround qualities, particularly in bonding and antibacterial. When 30% PCA was added to pure epoxy resin, the adhesion between substrate and coating increased from 4.40 MPa to 13.60 MPa and the antibacterial rate of coating against E. coli and S. aureus could approach 100%. All of this is due to the fact that the catechol structure present in PCA has the ability to interact with various substrates and alter the permeability of bacterial cell membranes. The architecture of this method offers a fresh approach to dealing with the issues of challenging raw material selection and complex synthesis techniques.

关键词： Epoxy coatings Thermosets Catechol structure Antibacterial High adhesion

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