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Purple red rice bran anthocyanins ameliorate inflammatory response induced by LPS from Porphyromonas gingivalis in RAW264.7 cells via suppressing NF- κB and AP-1 signaling pathways

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Food Science and Human Wellness 2025年

作者： Jilan jiao Junwei Zhao Ting Chen Liwei Zeng Xiangke Ci Jianhua Xie Xiaoyan Ou Affiliated Stomatological Hospital of Nanchang University State Key Laboratory of Food Science and Resources， Nanchang University

Periodontitis， a persistent inflammatory condition， targets the gums and periodontal structures， negatively impacting health. Systemic and local antimicrobials are often used to treat periodontitis， but they may lead to adverse effects such as drug resistance and ecological imbalance. As natural water-soluble pigment， anthocyanins has been reported to be an effective antiinflammatory， antiobesity， anticancer， antimicrobial and so on. The purpose of the study was to elucidate the anti-inflammatory effects and potential molecular mechanisms of purple rice bran anthocyanins (PRBA) on RAW264.7 cells induced by lipopolysaccharide from Porphyromonas gingivalis (Pg-LPS). The results indicated that PRBA inhibited the expression of iNOS and COX-2 in RAW264.7 cells， reduced the level of NO， TNF-α， and IL-6， while increasing the expression of Arg-1 and the production of IL-10 in RAW264.7 cells. Among them， cyanidin-3-glucoside and peonidin-3-glucoside， the two main anthocyanin glycosides in PRBA， also had the same effect. RNA-seq results revealed that there were 1，840 differentially expressed genes (DEGs) after PRBA treatment， with 1263 upregulated and 577 downregulated. Western blot also confirmed that PRBA significantly inhibited the activation of NF-κB and AP-1 in RAW264.7 cells. In summary， these findings suggested that PRBA inhibited the expression of proinflammatory cytokines in RAW264.7 cells induced by Pg-LPS through the NF-κB and AP-1 pathways， which providing its potential application in the treatment of periodontitis for anti-inflammatory effects.

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A Whole-Process Data Processing Method for Tunnel Seismic Geological Prediction Ahead of Tunnel Faces

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Journal of Earth Science 2025年第1期36卷 333-338页

作者： Cuifa Shao Yanning Wang Yunfu Jia Feng Liang Chengyuan Pei Peng Guan Yuyong jiao Faculty of Engineering China University of GeosciencesWuhan 430074China Tianjin Municipal Engineering Design&Research Institute Tianjin 300392China Xinjiang Survey and Design Institute for Water Resources and Hydropower Urumqi 830000China Xinjiang Water Conservancy Development and Construction Group Co. Ltd.Urumqi 830000China

0 INTRODUCTION The forecast of abnormal geological structures(e.g.,fracture zones,faults,aquifers and karst)during tunnel drilling remains a demanding task:detecting faults and other geological features impacting the ... 详细信息

关键词： karst Seismic Tunnel

RP-3航空煤油简化机理在航空发动机燃烧室中的适用性评估

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推进技术 2025年第2期46卷 175-186页

作者：郑玮琳王娇王麒骄曾文沈阳航空航天大学航空发动机学院辽宁沈阳110136

为获得适合工程应用的RP-3航空煤油简化机理以及数值计算方法,针对某航空发动机燃烧室模型进行相同工况下的试验与数值仿真,耦合五种不同替代燃料组分以及反应数数量级的RP-3航空煤油简化反应机理获得的计算结果与试验数据对比分析,比... 详细信息

为获得适合工程应用的RP-3航空煤油简化机理以及数值计算方法,针对某航空发动机燃烧室模型进行相同工况下的试验与数值仿真,耦合五种不同替代燃料组分以及反应数数量级的RP-3航空煤油简化反应机理获得的计算结果与试验数据对比分析,比较燃烧室内及燃烧室出口温度场、组分浓度场以及CO,NO_(x)等污染物的排放分布,分析不同化学反应机理的预测结果之间差异产生的原因。结果表明:五种简化反应机理均可以较好地反映出温度场以及组分浓度场的整体分布,但在具体数值的预测方面有所差异;其中,五组分简化机理对出口平均温度以及CO排放的预测最为准确,出口平均温度误差为0.41%,CO排放的误差为36.69%;四组分简化机理对NO_(x)排放的预测最为准确,NO_(x)排放的误差为0.63%,出口温度分布与试验数据吻合最好,整体来看具有更好的工程应用价值;单组分简化机理的整体计算结果准确性最低;此外,替代燃料组分以及反应数数量级的差异并未对基于火焰面生成流形建表的计算效率产生较大影响。

关键词： RP-3航空煤油简化机理污染物排放燃烧特性计算效率

Synthesis of ordered mesoporous crystalline boron phosphate scaffold with double diamond surface structure

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Science China Chemistry 2025年第2期 590-600页

作者： Chao Wang wen-Duo Lu jiao Wang Shunai Che An-Hui Lu Lu Han School of Chemical Science and Engineering Tongji University State Key Laboratory of Fine Chemicals Liaoning Key Laboratory for Catalytic Conversion of Carbon ResourcesSchool of Chemical EngineeringDalian University of Technology School of Chemistry and Chemical Engineering Frontiers Science Center for Transformative MoleculesState Key Laboratory of Metal Matrix CompositesShanghai Key Laboratory for Molecular Engineering of Chiral DrugsShanghai Jiao Tong University

Ordered mesoporous materials have received great attention due to their well-defined pore structures and potential applications in catalysis,adsorption,separation,drug delivery,*** various compositions of mesoporous solids have been successfully prepared,the preparation of crystalline non-metallic oxyacid salts with ordered mesoporosity remains a major ***,we report the synthesis of a mesoporous solid acid crystalline boron phosphate（BPO4） catalyst with a bicontinuous shifted double diamond（SDD） hyperbolic surface *** BPO4scaffold was obtained by synergistic selfassembly in a mixed solvent of water and tetrahydrofuran using the diblock copolymer poly（ethylene oxide）-block-polystyrene as template and phosphoric acid and orthoboric acid as inorganic *** structure consists of two sets of diamond networks adjacent to each other with a mesostructural scale tetragonal symmetry（space group I41/amd） with unit cell parameters of a=80 nm and c=113 nm,which affords the scaffold a specific surface area of 44 m2/*** a solid acid catalytic material,the SDD BPO4scaffold exhibited excellent catalytic activity at room temperature with a conversion of furfural to 2-（dimethoxymethyl）furan over 70% and can be reused after recovery without serious loss of *** the propane oxidative dehydrogenation reaction,SDD BPO4demonstrated high olefin productivity and selectivity while maintaining high reaction *** study provides ideas for the preparation of ordered mesoporous crystalline catalytic materials and demonstrates their potential for practical applications.

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Deep-sea oil and gas plow-type cable broadband wide-azimuth 3D seismic acquisition and imaging

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Science China Earth Sciences 2025年第3期68卷 683-701页

作者： Yunfei YE Li-Yun FU Lijun MI Chuncai CHEN Zhenhua jiao Hanming GU Yu WU China National Offshore Oil Corporation Research Institute Co. Ltd. National Key Laboratory of Deep Oil and Gas China University of Petroleum (East China) China Oilfield Services Limited School of Geophysics and Space Information China University of Geosciences (Wuhan) Sinopec Geophysical Research Institute Co. Ltd.

In recent years, significant advancements have been made in deep-sea broadband seismic acquisition and its support data processing technologies. Compared with traditional constant-depth flat-cable acquisition, variable-depth cable acquisition significantly differentiates frequency notches and enhances information complementarity between traces, effectively broadening the frequency band of acquired seismic data. Based on the international slanted cable technology, China has independently developed a plow-type cable seismic acquisition and imaging system: a combination of slanted and deep-deployed flat cables,along with a deghosting processing technique. This innovation optimizes the segmented depth variation of cables, further improving low-frequency response and broadening the high-frequency range. This paper extends the 2D technology into three dimensions, establishing an integrated technology system for deep-sea broadband, wide-azimuth seismic acquisition and imaging, consisting of three-ship and six-source acquisition equipments, 3D plow-type cable mat, blended acquisition design with rolling dual-random sources, and wavenumber-domain 3D deghosting techniques. Applications to two tectonic zones in the South China Sea demonstrate that the frequency band of seismic data is expanded from three octaves(8–85 Hz) by conventional acquisition and imaging methods to five octaves(2–130 Hz), significantly improving the data quality and imaging precision of deep structures. This advancement effectively supports the researches of fundamental geology, hydrocarbon accumulation,reservoir prediction, and fluid identification in deep-water basins. The successful deployment of these technologies has advanced China's deep-sea oil and gas exploration and has been generalized to more than ten international deep-sea oilfields.

关键词： Deep-sea oil and gas Broadband wide-azimuth 3D plow-type cable deployment Three-ship six-source blended acquisition Deghosting

Dynamic Regulation of Hydrogen Bonding Networks and Solvation Structures for Synergistic Solar‑Thermal Desalination of Seawater and Catalytic Degradation of Organic Pollutants

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Nano-Micro Letters 2025年第2期17卷 548-565页

作者： Ming‑Yuan Yu Jing Wu Guang Yin Fan‑Zhen jiao Zhong‑Zhen Yu Jin Qu Beijing Key Laboratory of Advanced Functional Polymer Composites Beijing University of Chemical TechnologyBeijing 100029People’s Republic of China State Key Laboratory of Organic‑Inorganic Composites College of Materials Science and EngineeringBeijing University of Chemical TechnologyBeijing 100029People’s Republic of China

Although solar steam generation strategy is efficient in desalinating seawater,it is still challenging to achieve continuous solar-thermal desalination of seawater and catalytic degradation of organic ***,dynamic regulations of hydrogen bonding networks and solvation structures are realized by designing an asymmetric bilayer membrane consisting of a bacterial cellulose/carbon nanotube/Co_(2)(OH)_(2)CO_(3)nanorod top layer and a bacterial cellulose/Co_(2)(OH)_(2)CO_(3)nanorod(BCH)bottom ***,the hydrogen bonding networks inside the membrane can be tuned by the rich surface–OH groups of the bacterial cellulose and Co_(2)(OH)_(2)CO_(3)as well as the ions and radicals in situ generated during the catalysis ***,both SO_(4)^(2−)and HSO_(5)−can regulate the solvation structure of Na^(+)and be adsorbed more preferentially on the evaporation surface than Cl^(−),thus hindering the de-solvation of the solvated Na^(+)and subsequent nucleation/growth of ***,the heat generated by the solar-thermal energy conversion can accelerate the reaction kinetics and enhance the catalytic degradation *** work provides a flow-bed water purification system with an asymmetric solar-thermal and catalytic membrane for synergistic solar thermal desalination of seawater/brine and catalytic degradation of organic pollutants.

关键词： Solar steam generation Seawater desalination Catalytic degradation Bacterial cellulose Cobalt hydroxycarbonate nanorods

Activity Diagram Synthesis Using Labelled Graphs and the Genetic Algorithm

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Journal of Computer Science & Technology 2021年第6期36卷 1388-1406页

作者： Chun-Hui Wang Zhi Jin Wei Zhang Didar Zowghi hai-Yan Zhao wen-Pin jiao Key Laboratory of High Confidence Software Technology(Ministry of Education) Peking University Beijing 100871China Institute of Software School of Electronics Engineering and Computer SciencePeking UniversityBeijing 100871China School of Computer Science Inner Mongolia Normal UniversityHohhot 010022China Faculty of Engineering and Information Technology University of TechnologySydney 2007Australia

Many applications need to meet diverse requirements of a large-scale distributed user *** challenges the current requirements engineering ***-based requirements engineering was proposed as an umbrella term for dealing with the requirements development in the context of the large-scale user ***,there are still many *** others,a key issue is how to merge these requirements to produce the synthesized requirements description when a set of requirements descriptions from different participants are *** techniques are needed for supporting the requirements *** are widely used in industry to represent *** paper chooses the activity diagrams and proposes a novel approach for the activity diagram synthesis which adopts the genetic algorithm to repeatedly modify a population of individual solutions toward an optimal *** a result,it can automatically generate a resulting diagram which combines the commonalities as many as possible while leveraging the variabilities of a set of input *** approach is featured by:1)the labelled graph proposed as the representation of the candidate solutions during the iterative evolution;2)the generalized entropy proposed and defined as the measurement of the solutions;3)the genetic algorithm designed for sorting out the high-quality *** cases of different scales are used to evaluate the effectiveness of the *** experimental results show that not only the approach gets high precision and recall but also the resulting diagram satisfies the properties of minimization and information preservation and can support the requirements traceability.

关键词： crowd-based requirements engineering requirements synthesis activity diagram genetic algorithm

Machine learning driven rational design of dual atom catalysts on graphene for carbon dioxide electroreduction

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Nano Research 2025年第1期18卷 186-194页

作者： Dongxu jiao Xinyi Li Mingzi Sun Lin Liu Jinchang Fan Jingxiang Zhao Bolong Huang Xiaoqiang Cui State Key Laboratory of Automotive Simulation and Control School of Materials Science and Engineeringand Key Laboratory of Automobile Materials of MOEJilin UniversityChangchun 130012China Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina College of Chemistry and Chemical Engineering and Key Laboratory of Photonic and Electronic Bandgap MaterialsMinistry of EducationHarbin Normal UniversityHarbin 150025China

The development of high-performance atomiccatalysts for the carbon dioxide reduction reaction(CO_(2)RR)is atime-consuming process due to the complexity of the reactionmechanism and the uncertainty of the active ***,wehave proposed combining density functional theory(DFT)andmachine learning(ML)to investigate the potential of topologicalgraphene-based dual-atom catalysts(DACs)as CO_(2)*** analyzing the ML results,we identify thenumber of d-orbital electrons in the active site as a key factorinfluencing the CO_(2)RR catalytic ***,wepropose a simple descriptor to measure the CO_(2)RR activity ofthese *** findings provide plausible explanations for thesynergistic interactions between bimetallic atoms in CO_(2)RR andallow us to screen the homogeneous Ni-Ni pair as the mostpromising dual-atom *** work offers a fast MLapproach based on limited DFT calculations to predict the mostelectroactive and stable DACs on carbon support for CO_(2)RR,facilitating rapid screening of high-performance dual-atomcatalysts.

关键词： CO_(2)reaction reduction dual-atom catalysts density functional theory machine learning

基于网络药理学及实验验证探究二月兰籽水提物对非酒精性脂肪性肝炎大鼠的治疗作用和机制

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天然产物研究与开发 2025年第2期37卷 346-360页

作者：苏芮裴海鸾田骄王晶王志斌北京中医药大学中药学院中药药理学教研室北京102488 北京中研同仁堂医药研发有限公司北京同仁堂股份有限公司科学研究所北京100079

探究二月兰籽水提物(water extract of Orychophragmus violaceus(L.)*** seeds,OVSWE)治疗非酒精性脂肪性肝炎(nonalcoholic steatohepatitis,NASH)治疗作用及作用机制。采用中国知网(China National Knowledge Infrastructure,CNKI)检索并获取OVSWE活性成分,使用疾病数据库以获取NASH的相关基因。提取OVSWE和NASH的交集靶点,进一步对“药物-潜在活性成分-潜在靶点”网络进行可视化展示。将交集靶点导入STRING数据库以构建蛋白-蛋白相互作用网络;然后进行GO功能和KEGG通路富集分析并可视化,再用Autodock软件实现分子对接模型的构建。最后通过动物实验对网络药理学预测的靶点及通路进行实验验证。网络药理学分析显示OVSWE治疗NASH的核心靶点有丝氨酸/苏氨酸蛋白激酶1(Akt serine/threonine kinase 1,AKT1)及磷酸肌醇3激酶调节亚基1(phosphoinositide-3-kinase regulatory subunit 1,PIK3R1)等,核心成分有诸葛菜碱A、诸葛菜素B及诸葛菜素C;OVSWE治疗NASH与胰岛素抵抗(insulin resistance,IR)、脂质代谢等相关信号通路关系密切。分子对接结果显示OVSWE中的核心成分与核心靶点AKT1对接良好。OVSWE治疗高脂高糖饮食联合CCl 4诱导NASH大鼠动物实验结果中,通过苏木精-伊红染色(hematoxylin-eosin staining,HE)及天狼猩红染色可观察到OVSWE可缓解肝脏脂质堆积和损伤;生化法检测发现,OVSWE可显著降低肝组织甘油三酯(triglycerides,TG)及低密度脂蛋白胆固醇(low-density lipoprotein cholesterol,LDL-C)含量(P<0.05或P<0.01);大鼠血清葡萄糖(glucose,GLU)、游离脂肪酸(free fatty acid,FFA)、空腹胰岛素含量及IR指数亦显著降低(P<0.05或P<0.01)。非靶向脂质组学分析表明经OVSWE干预后,NASH大鼠多种脂质差异物回调,对其通路富集发现脂质代谢紊乱主要表现在鞘脂代谢及甘油磷脂代谢通路。Western blot结果显示,OVSWE可显著增加肝组织胰岛素受体(insulin receptor,InsR)和p-AKT/AKT蛋白表达水平(P<0.05或P<0.01)。以上发现表明,OVSWE对高脂高糖饮食联合CCl 4诱导的NASH大鼠的治疗可能是通过激活InsR/PI3K/AKT信号通路,改善IR,调节脂质代谢来实现。

关键词：非酒精性脂肪性肝炎二月兰籽网络药理学脂质代谢胰岛素抵抗

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