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Natural sources,refined extraction,biosynthesis,metabolism,and bioactivities of dietary polymethoxyflavones(PMFs)

Food Science and Human Wellness 2024年第1期13卷 27-49页

作者： Renyou Gan Yi Liu Hang Li Yu Xia Huan Guo Fang Geng Qiguo zhuang Huabin Li Dingtao Wu Research Center for Plants and Human Health Institute of Urban AgricultureChinese Academy of Agricultural SciencesChengdu National Agricultural Science and Technology CenterChengdu 610213China Key Laboratory of Coarse Cereal Processing Ministry of Agriculture and Rural AffairsSichuan Engineering and Technology Research Centre of Coarse Cereal IndustralizationSchool of Food and Biological EngineeringChengdu UniversityChengdu 610106China China-New Zealand Belt and Road Joint Laboratory on Kiwifruit Sichuan Provincial Academy of Natural Resource SciencesChengdu 610213China Guangdong Provincial Key Laboratory of Food Nutrition and HealthSchool of Public HealthSun Yat-sen UniversityGuangzhou 510080China

Polymethoxyflavones(PMFs)are a type of uncommon dietary flavonoids,characterized by more than one methoxy group,which exist in limited plant species,like Citrus species and Kaempferia *** addition,different PMFs,such as nobiletin,sinensetin,tangeretin,and casticin,have been isolated from these natural *** have received increasing attention due to their multiple bioactivities,such as antioxidant,anti-inflammatory,anti-cancer,metabolic regulatory,immunoregulatory,neuroprotective,and skin protective *** bioactivities of PMFs should be associated with the regulation of critical molecular targets and the interaction with gut *** order to provide a comprehensive and updated review of PMFs,their natural sources,refined extraction,biosynthesis,metabolism,and bioactivities are summarised and discussed,with the emphasis on the molecular mechanisms of PMFs on regulating different chronic ***,PMFs may be promising flavonoids to the forefront of nutraceuticals for the prevention and/or treatment of certain human chronic diseases.

关键词： Nobiletin O-Methyltransferases Gut microbiota Bioactivities Molecular mechanism

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Novel Pt(IV) complex OAP2 induces STING activation and pyroptosis via mitochondrial membrane remodeling for synergistic chemo-immunotherapy

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Acta Pharmaceutica Sinica B 2024年第4期14卷 1742-1758页

作者： Renming Fan Ruizhuo Lin Shuo Zhang Aohua Deng Yongrui Hai Junyan zhuang Yang Liu Maosheng Cheng Gaofei Wei Institute of Medical Research Northwestern Polytechnical UniversityXi'an 710072China Research&Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057China Key Laboratory of Structure-Based Drug Design and Discovery Ministry of EducationSchool of Pharmaceutical EngineeringShenyang Pharmaceutical UniversityShenyang 110016China

Mitochondrial membrane remodeling can trigger the release of mitochondrial DNA (mtDNA), leading to the activation of cellular oxidative stress and immune responses. While the role of mitochondrial membrane remodeling in promoting inflammation in hepatocytes is well-established, its effects on tumors have remained unclear. In this study, we designed a novel Pt(IV) complex, OAP2, which is composed of oxaliplatin (Oxa) and acetaminophen (APAP), to enhance its anti-tumor effects and amplify the immune response. Our findings demonstrate that OAP2 induces nuclear DNA damage, resulting in the production of nuclear DNA. Additionally, OAP2 downregulates the expression of mitochondrial Sam50, to promote mitochondrial membrane remodeling and trigger mtDNA secretion, leading to double-stranded DNA accumulation and ultimately synergistically activating the intracellular cGAS-STING pathway. The mitochondrial membrane remodeling induced by OAP2 overcomes the limitations of Oxa in activating the STING pathway and simultaneously promotes gasdermin-D-mediated cell pyroptosis. OAP2 also promotes dendritic cell maturation and enhances the quantity and efficacy of cytotoxic T cells, thereby inhibiting cancer cell proliferation and metastasis. Briefly, our study introduces the first novel small-molecule inhibitor that regulates mitochondrial membrane remodeling for active immunotherapy in anti-tumor research, which may provide a creative idea for targeting organelle in anti-tumor therapy.

关键词： Anti-tumor drug Prodrug Platinum Chemo-immunotherapy Mitochondrial membrane modeling STING Pyroptosis mtDNA

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Knowledge Reasoning Method Based on Deep Transfer Reinforcement Learning:DTRLpath

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Computers, Materials & Continua 2024年第7期80卷 299-317页

作者： Shiming Lin Ling Ye Yijie zhuang Lingyun Lu Shaoqiu Zheng Chenxi Huang Ng Yin Kwee School of Informatics Xiamen UniversityXiamen361104China Key Lab of Information System Requirement Nanjing Research Institute of Electronics EngineeringNanjing210007China School of Information Engineering Changji UniversityChangji831100China School of Mechanical&Aerospace Engineering Nanyang Technological UniversitySingapore639798Singapore

In recent years,with the continuous development of deep learning and knowledge graph reasoning methods,more and more researchers have shown great interest in improving knowledge graph reasoning methods by inferring missing facts through *** searching paths on the knowledge graph and making fact and link predictions based on these paths,deep learning-based Reinforcement Learning(RL)agents can demonstrate good performance and ***,deep reinforcement learning-based knowledge reasoning methods have rapidly emerged in recent years and have become a hot research ***,even in a small and fixed knowledge graph reasoning action space,there are still a large number of invalid *** often leads to the interruption of RL agents’wandering due to the selection of invalid actions,resulting in a significant decrease in the success rate of path *** order to improve the success rate of RL agents in the early stages of path search,this article proposes a knowledge reasoning method based on Deep Transfer Reinforcement Learning path(DTRLpath).Before supervised pre-training and retraining,a pre-task of searching for effective actions in a single step is *** RL agent is first trained in the pre-task to improve its ability to search for effective ***,the trained agent is transferred to the target reasoning task for path search training,which improves its success rate in searching for target task ***,based on the comparative experimental results on the FB15K-237 and NELL-995 datasets,it can be concluded that the proposed method significantly improves the success rate of path search and outperforms similar methods in most reasoning tasks.

关键词： Intelligent agent knowledge graph reasoning reinforcement transfer learning

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Residual fluoride self-activated effect enabling upgraded utilization of recycled graphite anode

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Journal of Energy Chemistry 2024年第6期93卷 24-31,I0002页

作者： Shuzhe Yang Qingqing Gao Yukun Li Hongwei Cai Xiaodan Li Gaoxing Sun Shuxin zhuang Yujin Tong Hao Luo Mi Lu School of Materials Science and Engineering Xiamen University of TechnologyXiamen 361024FujianChina Faculty of Physics University of Duisburg-EssenDuisburg D-47057Germany

Recycling graphite anode from spent lithium-ion batteries(SLIBs)is regarded as a crucial approach to promoting sustainable energy storage ***,the recycled graphite(RG)generally presents degraded structure and ***,the residual fluoride self-activated effect is proposed for the upgraded utilization of *** and low-energy water immersion treatment not only widens the interlayer spacing,but also retains appropriate fluoride on the surface of *** analysis and experiments demonstrate that the residual fluoride can optimize Li~+migration and deposition kinetics,resulting in better Li~+intercalation/deintercalation in the interlayer and more stable Li metal plating/stripping on the surface of RG,As a result,the designed LFP||RG full cells achieve ultrahigh reversibility(~100%Coulombic efficiency),high capacity retention(67%after 200 cycles,0.85 N/P ratio),and commendable adaptability(stable cycling without short-circuiting,0.15 N/P ratio).The energy density is improved from 334 Wh kg^(-1)of 1.1 N/P ratio to 367 Wh kg^(-1)of 0.85 N/P ratio(total mass based on cathode and anode).The exploration of RG by residual fluoride self-activated effect achieves upgraded utilization beyond fresh commercial graphite and highlights a new strategy for efficient reuse of SLIBs.

关键词： Spent lithium-ion batteries Recycled graphite anode Fluoride Self-activated effect Upgraded utilization

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MoS_(x)nanowire networks derived from[Mo_(3)S_(13)]^(2−)clusters for efficient electrocatalytic hydrogen evolution

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Nano Research 2024年第8期17卷 6910-6915页

作者： Haoxuan Yu Junan Pan Kang Chen Wang Chao Zechao zhuang Sizhuo Feng Jianmei Chen Lingbin Xie Longlu Wang Qiang Zhao College of Electronic and Optical Engineering&College of Flexible Electronics(Future Technology) Nanjing University of Posts and Telecommunications9 Wenyuan RoadNanjing 210023China Department of Chemical Engineering Columbia UniversityNew YorkNY 10027USA Institute of Advanced Materials(IAM)&Institute of Flexible Electronics(Future Technology) Nanjing University of Posts and Telecommunications9 Wenyuan RoadNanjing 210023China

Precise design and synthesis of sub-nano scale catalysts with controllable electronic and geometric structures are pivotal for enhancing the hydrogen evolution reaction(HER)performance of molybdenum sulfide(MoS_(2))and unraveling its structure−activity *** leveraging transition molybdenum polysulfide clusters as functional units for multi-level ordering,we successfully designed and synthesized MoS_(x)nanowire networks derived from[Mo_(3)S_(13)]^(2−)clusters via evaporationinduced self-assembly,which exhibit enhanced HER activity attributed to a high density of active sites and dynamic evolution behavior under cathodic ***_(x)nanowire networks electrode yields a current density of 100 mA·cm^(−2)at 142 mV in 0.5 M H_(2)SO_(4).This work provides an attractive prospect for optimizing catalysts at the sub-nano scale and offers insights into a strategy for designing catalysts in various gas evolution reactions.

关键词： MoS_(x)nanowire networks [Mo_(3)S_(13)]^(2−)clusters hydrogen evolution reaction(HER) sub-nano scale

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Electrochemical converting ethanol to hydrogen and acetic acid for large scale green hydrogen production

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Nano Research 2024年第3期17卷 1542-1551页

作者： Yufeng Zhang Wei Zhu Jinjie Fang Zhiyuan Xu Yanrong Xue Jiajing Pei Rui Sui Xingdong Wang Xuejiang Zhang Zhongbin zhuang State Key Lab of Organic-Inorganic Composites and Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical TechnologyBeijing 100029China Laboratory of Advanced Functional Materials of Nanjing Nanjing Xiaozhuang UniversityNanjing 211171China Beijing Key Laboratory of Energy Environmental Catalysis Beijing University of Chemical TechnologyBeijing 100029China

Electrochemical coupling hydrogen evolution with biomass reforming reaction(named electrochemical hydrogen and chemical cogeneration(EHCC)),which realizes green hydrogen production and chemical upgrading simultaneously,is a promising method to build a carbon-neutral ***,we analyze the EHCC process by considering the market *** ethanol to acetic acid and hydrogen approach is the most feasible for large-scale hydrogen *** develop AuCu nanocatalysts,which can selectively oxidize ethanol to acetic acid(>97%)with high long-term *** isotopic and in-situ infrared experiments reveal that the promoted water dissociation step by alloying contributes to the enhanced activity of the partial oxidation reaction path.A flow-cell electrolyzer equipped with the AuCu anodic catalyst achieves the steady production of hydrogen and acetic acid simultaneously in both high selectivity(>90%),demonstrating the potential scalable application for green hydrogen production with low energy consumption and high profitability.

关键词： selective ethanol electrooxidation gold alloy catalyst electrochemical-coupled hydrogen production market assessment interfacial water activation

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Unveiling protein corona composition:predicting with resampling embedding and machine learning

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Regenerative Biomaterials 2024年第1期3卷 27-33页

作者： Rong Liao Yan zhuang Xiangfeng Li Ke Chen Xingming Wang Cong Feng Guangfu Yin Xiangdong Zhu Jiangli Lin Xingdong Zhang College of Biomedical Engineering National Engineering Research Centre for BiomaterialsSichuan UniversityChengdu610065China

Biomaterials with surface nanostructures effectively enhance protein secretion and stimulate tissue *** nanoparticles(NPs)enter the living system,they quickly interact with proteins in the body fluid,forming the protein corona(PC).The accurate prediction of the PC composition is critical for analyzing the osteoinductivity of biomaterials and guiding the reverse design of ***,achieving accurate predictions remains a significant *** several machine learning(ML)models like Random Forest(RF)have been used for PC prediction,they often fail to consider the extreme values in the abundance region of PC absorption and struggle to improve accuracy due to the imbalanced data *** this study,resampling embedding was introduced to resolve the issue of imbalanced distribution in PC *** ML models were evaluated,and RF model was finally used for prediction,and good correlation coefficient(R^(2))and root-mean-square deviation(RMSE)values were *** ablation experiments demonstrated that the proposed method achieved an R^(2) of 0.68,indicating an improvement of approximately 10%,and an RMSE of 0.90,representing a reduction of approximately 10%.Furthermore,through the verification of label-free quantification of four NPs:hydroxyapatite(HA),titanium dioxide(TiO_(2)),silicon dioxide(SiO_(2))and silver(Ag),and we achieved a prediction performance with an R^(2) value>0.70 using Random ***,the feature analysis revealed that the composition of the PC is most significantly influenced by the incubation plasma concentration,PDI and surface modification.

关键词： nanoparticles protein corona machine learming resampling technique feature analysis

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Significant effect of ordered micro-domain on cell boundary phase distribution and demagnetization curve squareness of Sm_(2)Co_(17)-type magnet

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Rare Metals 2024年第4期43卷 1724-1735页

作者： zhuang Liu Hai-Chen Wu Chao-Yue Zhang Chao-Qun Zhu Guo-Xin Chen Huan-Ming Lu Ren-Jie Chen Aru Yan CISRI&NIMTE Joint Innovation Center for Rare Earth Permanent Magnets Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201China University of Chinese Academy of Sciences Beijing100049China Analytical Center Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201China

Cu-rich cell boundary phase is difficult to precipitate evenly,resulting in a generally poor demagnetization curve squareness for Fe-rich Sm_(2)Co_(17)-type magnet,which is a key factor limiting the further improvement of magnetic energy *** this study,we report that nanoscale strip-like ordered micro-domains distributed in1:7H disordered matrix phase of the solid solution precursor is a new factor significantly affecting the precipitation and distribution of the cell boundary *** strip-like and continuous micro-twin structure with twin boundaries neatly perpendicular to the C-axis is observed after sintering *** solution treatment,sequential and long strip-like micro-twins gradually transform into disordered state along the basal plane,forming narrow disordered 1:7H(TbCu_(7)-type structure)phase between the separated strip-like ordered *** disordering transformation takes place via broken down of the long strip-like ordered micro-domains,which is accomplished by narrowing along the width direction followed by reduction of the ***,a new model revealing the effect of the ordered micro-domains on the formation of the cell boundary phase is *** boundaries enriched in Cu have already existed in the precursor with long strip-like ordered ***,the Cu-rich cell boundary phase acting as strong pinning centers cannot be precipitated homogeneously and distributed continuously after aging,resulting in a poor demagnetization curve squareness of Sm_(2)Co_(17)-type *** results indicate that significant broken down of the nanoscale ordered micro-domains in solution precursor is the key factor improving the distribution of cell boundary phase in Sm_(2)Co_(17)-type magnets.

关键词： Sm_(2)Co_(17) magnets Solution precursor Ordered micro-domains Disordering transformation Cellular structure

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Disulfide bridge-targeted metabolome mining unravels an antiparkinsonian peptide

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Acta Pharmaceutica Sinica B 2024年第2期14卷 881-892页

作者： Zhiwu Tong Xiahong Xie Huiming Ge Ruihua Jiao Tingting Wang Xincun Wang Wenying zhuang Gang Hu Renxiang Tan State Key Laboratory of Pharmaceutical Biotechnology Institute of Functional BiomoleculesSchool of Life SciencesNanjing UniversityNanjing 210023China State Key Laboratory Cultivation Base for TCM Quality and Efficacy Nanjing University of Chinese MedicineNanjing 210023China Institute of Microbiology Chinese Academy of SciencesBeijing 100101China

Peptides are a particular molecule class with inherent attributes of some small-molecule drugs and macromolecular biologics,thereby inspiring continuous searches for peptides with therapeutic and/or agrochemical ***,the success rate is decreasing,presumably because many interesting but less-abundant peptides are so scarce or labile that they are likely‘overlooked’during the characterization ***,we present the biochemical characterization and druggability improvement of an unprecedented minor fungal RiPP(ribosomally synthesized and post-translationally modified peptide),named acalitide,by taking the relevant advantages of metabolomics approach and disulfide-bridged substructure which is more frequently imprinted in the marketed peptide drug *** is biosynthetically unique in the macrotricyclization via two disulfide bridges and a protease(AcaB)-catalyzed lactamization of AcaA,an unprecedented precursor *** a biosynthetic logic was successfully re-edited for its sample supply renewal to facilitate the identification of the in vitro and in vivo antiparkinsonian efficacy of acalitide which was further confirmed safe and rendered brain-targetable by the liposome encapsulation *** together,the work updates the mining strategy and biosynthetic complexity of RiPPs to unravel an antiparkinsonian drug candidate valuable for combating Parkinson’s disease that is globally prevailing in an alarming manner.

关键词： Fungal RiPPs Biosynthesis Macrocyclic peptide Acalitide Antiparkinsonian

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Investigation and Mitigation of Carbon Deposition over Copper Catalyst during Electrochemical CO_(2)Reduction

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Precision Chemistry 2024年第4期2卷 151-160页

作者： Jing-Wen DuanMu Zhi-Zheng Wu Fei-Yue Gao Peng-Peng Yang zhuang-zhuang Niu Yu-Cai Zhang Li-Ping Chi Min-Rui Gao Division of Nanomaterials and Chemistry Hefei National Laboratory for Physical Sciences at the MicroscaleUniversity of Science and Technology of ChinaHefei 230026China

Copper(Cu)is considered to be the most effective catalyst for electrochemical conversion of carbon dioxide(CO_(2))into value-added hydrocarbons,but its stability still faces considerable ***,we report the poisoning effect of carbon deposition during CO_(2)reduction on the active sites of Cu electrodea critical deactivation factor that is often *** find that,*C,an intermediate toward methane formation,could desorb on the electrode surface to form carbon *** reveal a strong correlation between the formation of methane and the carbon deposition,and the reaction conditions favoring methane production result in more carbon *** deposited carbon blocks the active sites and consequently causes rapid deterioration of the catalytic *** further demonstrate that the carbon deposition can be mitigated by increasing the roughness of the electrode and increasing the pH of the *** work offers a new guidance for designing more stable catalysts for CO_(2)reduction.

关键词： carbon deposition roughness in situ spectrum CO_(2)electroreduction copper catalyst

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