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Food Science and Human Wellness 2023年

作者： Yue Zhou Hui Xu ka-wing cheng Feng Chen Qian Zhou Ming-Fu Wang Shenzhen Key Laboratory of Food Nutrition and Health Institute for Advanced Study Shenzhen University

Abstract: Glycidol is a common lipid-derived foodborne toxicant mainly presents in refined oils and related foodstuffs. Vascular endothelial cells may be potential targets of the deleterious effects associated with glycidol exposure. In human umbilical vein endothelial cells (HUVECs)， we found that glycidol treatment promoted endothelial-to-mesenchymal transition (EndMT) at a lower concentration (0.5 mmol/L)， while induced apoptosis and inflammation at a higher concentration (1 mmol/L). These harmful effects were achieved by the activation of NF-κB/MAPK signaling pathway and were mediated by reactive oxygen species (ROS). In addition， the protective potential of 6-C-(E-2-fluorostyryl)naringenin (6-CEFN) against glycidol was evaluated and compared with naringenin. HUVECs pre-treated with 6-CEFN， but not naringenin， displayed resistance to endothelial dysfunction caused by glycidol.

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Anti-diabetic potential of apigenin,luteolin,and baicalein via partially activating PI3K/Akt/GLUT-4 signaling pathways in insulin-resistant HepG2 cells

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Food Science and Human Wellness 2023年第6期12卷 1991-2000页

作者： Lingchao Miao Haolin Zhang Meng Sam Cheong Ruting Zhong Paula Garcia-Oliveira Miguel A.Prieto ka-wing cheng Mingfu Wang Hui Cao Shaoping Nie Jesus Simal-Gandara Wai San Cheang Jianbo Xiao Institute of Chinese Medical Sciences University of MacaoMacao 999078China Department of Analytical Chemistry and Food Science Faculty of Food Science and TechnologyUniversity of Vigo-Ourense CampusOurense E-32004Spain Institute for Advanced Study Shenzhen UniversityShenzhen 508060China School of Biological Sciences The University of Hong KongHong Kong 999077China College of Food Science and Technology Guangdong Ocean UniversityGuangdong Provincial Key Laboratory of Aquatic Product Processing and SafetyGuangdong Province Engineering Laboratory for Marine Biological ProductsGuangdong Provincial Engineering Technology Research Center of SeafoodKey Laboratory of Advanced Processing of Aquatic Product of Guangdong Higher Education InstitutionZhanjiang 524088China State Key Laboratory of Food Science and Technology China-Canada Joint Lab of Food Science and Technology(Nanchang)Nanchang UniversityNanchang 330047China International Research Center for Food Nutrition and Safety Jiangsu UniversityZhenjiang 212013China

Dietary flavonoids are abundant in natural plants and possess multiple pharmacological and nutritional activities.In this study,apigenin,luteolin,and baicalein were chosen to evaluate their anti-diabetic effect in high-glucose and dexamethasone induced insulin-resistant(IR)HepG2 cells.All flavonoids improves the glucose consumption and glycogen synthesis abilities in IR-HepG2 cells via activating glucose transporter protein 4(GLUT4)and phosphor-glycogen synthase kinase(GSK-3β).These fl avonoids signifi cantly inhibited the production of reactive oxygen species(ROS)and advanced glycation end-products(AGEs),which were closely related to the suppression of the phosphorylation form of NF-κB and P65.The expression levels of insulin receptor substrate-1(IRS-1),insulin receptor substrate-2(IRS-2)and phosphatidylinositol 3-kinase(PI3K)/protein kinase B(Akt)pathway in IR-HepG2 cells were all partially activated by the fl avonoids,with variable effects.Furthermore,the intracellular metabolic conditions of the fl avonoids were also evaluated.

关键词： Apigenin Luteolin Baicalein Insulin-resistant HepG2 cells Signaling pathway Reactive oxygen species(ROS) Advanced glycation end-products(AGEs) Glycogen synthase kinase(GSK-3β) Glucose transporter protein 4(GLUT4)

Aero-structural design of joined-wing aircraft based on high-fidelity model

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Chinese Journal of Aeronautics 2024年第4期37卷 363-377页

作者： cheng HE Fengjiang ZHAN Luchuang MA Gang CHEN Jianying MA Unmanned Air Vehicle Research Institute Nanjing University of Aeronautics and AstronauticsNanjing 210016China Key Laboratory of Advanced Technology for Small and Medium-sized UAV Ministry of Industry and Information TechnologyNanjing University of Aeronautics and AstronauticsNanjing 210016China Aerospace System Engineering Shanghai Shanghai 201108China

The joined-wing configuration reduces induced drag and structural weight by connecting the rear wing to the front wing.In addition,the rear wing can replace the role of the horizontal tail of a conventional aircraft,thus eliminating the aerodynamic drag and weight associated with the horizontal tail.This particular shape creates a highly coupled relationship between aerodynamics and structure,which must be fully considered during the overall design process to enhance aircraft performance.In this research,an aero-structural design model of the joined-wing aircraft is constructed based on high-fidelity computational fluid dynamics and structural finite element methods.The model is able to obtain accurate aerodynamic loads for the non-planar wing and to simulate the statically indeterminate structure of the closed wing configuration.The influence of the joined-wing shape parameters on the aerodynamic and structural disciplines,as well as the influence of geometric nonlinear characteristics,deformation constraints and buckling constraints on the structural weight are all taken into consideration.The model is applied to complete the aero-structural design optimization of a high-altitude long-endurance joined-wing aircraft,and wind tunnel tests are conducted.The test results verify the credibility of the design model proposed and the validity of the design environment.

关键词： Joined-wing configuration Aircraft design Aero-structural design Finite element Wind tunnel test

Effects of SARS-CoV-2 infection on incidence and treatment strategies of hepatocellular carcinoma in people with chronic liver disease

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World Journal of Hepatology 2024年第2期16卷 211-228页

作者： Lung-Yi Mak Matthew Shing Hin Chung Xue Li Francisco Tsz Tsun Lai Eric Yuk Fai Wan Celine Sze Ling Chui Franco wing Tak cheng Esther Wai Yin Chan Ching Lung Cheung Ivan Chi Ho Au Xi Xiong Wai-kay Seto Man-Fung Yuen Carlos King Ho Wong Ian Chi Kei Wong Department of Medicine The University of Hong KongHong KongChina State Key Laboratory of Liver Research The University of Hong KongHong KongChina Department of Pharmacology and Pharmacy The University of Hong KongHong KongChina Laboratory of Data Discovery for Health(D24H) Hong Kong Science and Technology ParkHong KongChina Department of Family Medicine and Primary Care The University of Hong KongHong KongChina School of Nursing The University of Hong KongHong KongChina School of Public Health The University of Hong KongHong KongChina Research Department of Practice and Policy University College LondonLondon WC1E 6BTUnited Kingdom Aston School of Pharmacy Aston UniversityBirmingham B47ETUnited Kingdom

BACKGROUND Chronic liver disease(CLD)was associated with adverse clinical outcomes among people with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection.AIM To determine the effects of SARS-CoV-2 infection on the incidence and treatment strategy of hepatocellular carcinoma(HCC)among patients with CLD.METHODS A retrospective,territory-wide cohort of CLD patients was identified from an electronic health database in Hong Kong.Patients with confirmed SARS-CoV-2 infection[coronavirus disease 2019(COVID-19)+CLD]between January 1,2020 and October 25,2022 were identified and matched 1:1 by propensity-score with those without(COVID-19-CLD).Each patient was followed up until death,outcome event,or November 15,2022.Primary outcome was incidence of HCC.Secondary outcomes included all-cause mortality,adverse hepatic outcomes,and different treatment strategies to HCC(curative,non-curative treatment,and palliative care).Analyses were further stratified by acute(within 20 d)and post-acute(21 d or beyond)phases of SARS-CoV-2 infection.Incidence rate ratios(IRRs)were estimated by Poisson regression models.RESULTS Of 193589 CLD patients(>95%non-cirrhotic)in the cohort,55163 patients with COVID-19+CLD and 55163 patients with COVID-19-CLD were included after 1:1 propensity-score matching.Upon 249-d median follow-up,COVID-19+CLD was not associated with increased risk of incident HCC(IRR:1.19,95%CI:0.99-1.42,P=0.06),but higher risks of receiving palliative care for HCC(IRR:1.60,95%CI:1.46-1.75,P<0.001),compared to COVID-19-CLD.In both acute and post-acute phases of infection,COVID-19+CLD were associated with increased risks of allcause mortality(acute:IRR:7.06,95%CI:5.78-8.63,P<0.001;post-acute:IRR:1.24,95%CI:1.14-1.36,P<0.001)and adverse hepatic outcomes(acute:IRR:1.98,95%CI:1.79-2.18,P<0.001;post-acute:IRR:1.24,95%CI:1.13-1.35,P<0.001),compared to COVID-19-CLD.CONCLUSION Although CLD patients with SARS-CoV-2 infection were not associated with increased risk of HCC,they were more likely to receive palliative treatment

关键词： SARS-CoV-2 infection Chronic liver disease Long COVID Post-COVID-19 syndrome Cirrhosis Hepatocellular carcinoma

Advances of machine learning in materials science: Ideas and techniques

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Frontiers of physics 2024年第1期19卷 155-194页

作者： Sue Sin Chong Yi Sheng Ng Hui-Qiong Wang Jin-cheng Zheng Department of New Energy Science and Engineering Xiamen University MalaysiaSepang 43900Malaysia Engineering Research Center of Micro-nano Optoelectronic Materials and Devices Ministry of EducationFujian Key Laboratory of Semiconductor Materials and ApplicationsCI Center for OSEDand Department of PhysicsXiamen UniversityXiamen 361005China

In this big data era, the use of large dataset in conjunction with machine learning (ML) has been increasingly popular in both industry and academia. In recent times, the field of materials science is also undergoing a big data revolution, with large database and repositories appearing everywhere. Traditionally, materials science is a trial-and-error field, in both the computational and experimental departments. With the advent of machine learning-based techniques, there has been a paradigm shift: materials can now be screened quickly using ML models and even generated based on materials with similar properties;ML has also quietly infiltrated many sub-disciplinary under materials science. However, ML remains relatively new to the field and is expanding its wing quickly. There are a plethora of readily-available big data architectures and abundance of ML models and software;The call to integrate all these elements in a comprehensive research procedure is becoming an important direction of material science research. In this review, we attempt to provide an introduction and reference of ML to materials scientists, covering as much as possible the commonly used methods and applications, and discussing the future possibilities.

关键词： machine learning materials science

Cellular zinc metabolism and zinc signaling:from biological functions to diseases and therapeutic targets

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Signal Transduction and Targeted Therapy 2024年第2期9卷 401-441页

作者： Bonan Chen Peiyao Yu Wai Nok Chan Fuda Xie Yigan Zhang Li Liang kam Tong Leung Kwok Wai Lo Jun Yu Gary M.K.Tse Wei kang ka Fai To Department of Anatomical and Cellular Pathology State Key Laboratory of Translational OncologyPrince of Wales HospitalThe Chinese University of Hong KongHong KongChina State Key Laboratory of Digestive Disease Institute of Digestive DiseaseThe Chinese University of Hong KongHong KongChina CUHK-Shenzhen Research Institute The Chinese University of Hong KongShenzhenChina Department of Pathology Nanfang Hospital and Basic Medical CollegeSouthern Medical UniversityGuangdong Province Key Laboratory of Molecular Tumor PathologyGuangzhouChina Institute of Biomedical Research Taihe HospitalHubei University of MedicineShiyanChina Department of Pediatrics The Chinese University of Hong KongHong KongChina Department of Medicine and Therapeutics The Chinese University of Hong KongHong KongChina

Zinc metabolism at the cellular level is critical for many biological processes in the body.A key observation is the disruption of cellular homeostasis,often coinciding with disease progression.As an essential factor in maintaining cellular equilibrium,cellular zinc has been increasingly spotlighted in the context of disease development.Extensive research suggests zinc’s involvement in promoting malignancy and invasion in cancer cells,despite its low tissue concentration.This has led to a growing body of literature investigating zinc’s cellular metabolism,particularly the functions of zinc transporters and storage mechanisms during cancer progression.Zinc transportation is under the control of two major transporter families:SLC30(ZnT)for the excretion of zinc and SLC39(ZIP)for the zinc intake.Additionally,the storage of this essential element is predominantly mediated by metallothioneins(MTs).This review consolidates knowledge on the critical functions of cellular zinc signaling and underscores potential molecular pathways linking zinc metabolism to disease progression,with a special focus on cancer.We also compile a summary of clinical trials involving zinc ions.Given the main localization of zinc transporters at the cell membrane,the potential for targeted therapies,including small molecules and monoclonal antibodies,offers promising avenues for future exploration.

关键词： metabolism invasion involvement

Multi-omics analysis of attenuated variant reveals potential evaluation marker of host damaging for SARS-CoV-2 variants

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Science China(Life Sciences) 2024年第1期67卷 83-95页

作者： Guangshan Xie Lin Zhu Siwen Liu Cun Li Xin Diao Yanhao Zhang Xiuli Su Yuanyuan Song Guodong Cao Li Zhong Pui Wang Xiaojuan Liu Bobo wing-Yee Mok Shusheng Zhang Dong-Yan Jin Jie Zhou Honglin Chen Zongwei Cai State Key Laboratory of Environmental and Biological Analysis Hong Kong Baptist UniversityHong Kong SARChina State Key Laboratory for Emerging Infectious Diseases and Department of MicrobiologyLi Ka Shing Faculty of MedicineThe University of Hong KongHong Kong SARChina College of Chemistry Zhengzhou UniversityZhengzhou 450001China School of Biomedical Sciences The University of Hong KongHong Kong SARChina HKBU Shenzhen Institute of Research and Continuing Education Shenzhen 518000China

SARS-CoV-2 continues to threaten human society by generating novel variants via mutation and recombination.The high number of mutations that appeared in emerging variants not only enhanced their immune-escaping ability but also made it difficult to predict the pathogenicity and virulence based on viral nucleotide sequences.Molecular markers for evaluating the pathogenicity of new variants are therefore needed.By comparing host responses to wild-type and variants with attenuated pathogenicity at proteome and metabolome levels,six key molecules on the polyamine biosynthesis pathway including putrescine,SAM,dc-SAM,ODC1,SAMS,and SAMDC were found to be differentially upregulated and associated with pathogenicity of variants.To validate our discovery,human airway organoids were subsequently used which recapitulates SARS-CoV-2 replication in the airway epithelial cells of COVID-19 patients.Using ODC1 as a proof-ofconcept,differential activation of polyamine biosynthesis was found to be modulated by the renin-angiotensin system(RAS)and positively associated with ACE2 activity.Further experiments demonstrated that ODC1 expression could be differentially activated upon a panel of SARS-CoV-2 variants of concern(VOCs)and was found to be correlated with each VOCs’pathogenic properties.Particularly,the presented study revealed the discriminative ability of key molecules on polyamine biosynthesis as a predictive marker for virulence evaluation and assessment of SARS-CoV-2 variants in cell or organoid models.Our work,therefore,presented a practical strategy that could be potentially applied as an evaluation tool for the pathogenicity of current and emerging SARS-CoV-2 variants.

关键词： SARS-CoV-2 multi-omics attenuated variant predictive pathogenic marker polyamine biosynthesis

Exploring the impact of Nafion modifier on electrocatalytic CO_(2) reduction over Cu catalyst

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Journal of Energy Chemistry 2024年第1期88卷 543-551,I0012页

作者： Yingshi Su Yonghui cheng Zhen Li Yanjia Cui Caili Yang Ziyi Zhong Yibing Song Gongwei Wang Lin Zhuang College of Chemistry&Chemical Engineering and Key Laboratory for Preparation and Application of Ordered Structural Materials of Guangdong Province Shantou UniversityShantou 515063GuangdongChina College of Chemistry and Molecular Sciences Hubei Key Lab of Electrochemical Power SourcesWuhan UniversityWuhan 430072HubeiChina The Institute for Advanced Studies Wuhan UniversityWuhan 430072HubeiChina Department of Chemistry Engineering Guangdong Technion-Israel Institute of Technology(GTIIT)Shantou 515063GuangdongChina Technion-Israel Institute of Technology(IIT) Haifa 32000Israel

Nafion as a universal polymer ionomer was widely applied for nanocatalysts electrode preparation.However,the effect of Nafion on electrocatalytic performance was often overlooked,especially for CO_(2)electrolysis.Herein,the key roles of Nafion for CO_(2)RR were systematically studied on Cu nanoparticles(NPs)electrocatalyst.We found that Nafion modifier not only inhibit hydrogen evolution reaction(HER)by decreasing the accessibility of H_(2)O from electrolyte to Cu NPs,and increase the CO_(2)concentration at electrocatalyst interface for enhancing the CO_(2)mass transfer process,but also activate CO_(2)molecule by Lewis acid-base interaction between Nafion and CO_(2)to accelerate the formation of^(*)CO,which favor of C–C coupling for boosting C_(2)product generation.Owing to these features,the HER selectivity was suppressed from 40.6%to 16.8%on optimal Cu@Nafion electrode at-1.2 V versus reversible hydrogen electrode(RHE),and as high as 73.5%faradaic efficiencies(FEs)of C_(2)products were achieved at the same applied potential,which was 2.6 times higher than that on bare Cu electrode(~28.3%).In addition,Nafion also contributed to the long-term stability by hinder Cu NPs morphology reconstruction.Thus,this work provides insights into the impact of Nafion on electrocatalytic CO_(2)RR performance.

关键词： Nafion modifier CO_(2)reduction Cu nanoparticles In situ ATR-SEIRAS C_(2)product

Bidding Strategy for Coordinated Operation of Wind Power Plants and NGG-P2G Units in Electricity Market

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CSEE Journal of Power and Energy Systems 2022年第1期8卷 212-224页

作者： Xiang Gao ka wing Chan Shiwei Xia Xian Zhang Guibin Wang Shenzhen Polytechnic ShenzhenChina and also with the Department of Electrical Engineering The Hong Kong Polytechnic UniversityHung HomHong KongChina Department of Electrical Engineering The Hong Kong Polytechnic UniversityHung HomHong KongChina School of Electrical and Electronic Engineering North China Electric Power UniversityBeijing 102206China School of Mechanical Engineering and Automation Harbin Institute of TechnologyShenzhen 518055China College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060China

The synergies between electricity and other energy resources could promote energy utilization efficiency in electricity market.Within this context,this paper proposes a bi-level stochastic optimization model for the joint operation of a coordinated wind power plant(WPP)and natural gas generating(NGG)-power to gas(P2G)suppliers participating in the day-ahead(DA)market and real-time(RT)market as well as providing real-time auxiliary services.The coordinated supplier’s payoff is maximized in the upper level with consideration of the uncertainties of WPP output capacity and RT electricity price,while the social welfare of the grid is maximized in the lower level.Simulation results demonstrate the effectiveness of the proposed bidding model of the coordinated WPPs and NGG-P2G suppliers by examining its bidding behaviors and benefits with comparisons of four other bidding models.

关键词： Bi-level model bidding strategy WPP NGGP2G uncertainties

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三轴加载下灰岩的力学特性及声发射特征

矿业研究与开发 2024年第2期44卷 129-137页

作者：王巍浩杜西岗许城高凯河北水利电力学院交通工程系河北沧州市061001 中冶(上海)钢结构科技有限公司上海201908 中绎建设科技集团有限公司河北石家庄050035

灰岩作为煤矿广泛赋存的沉积岩之一,揭示其力学性质和损伤演化过程对于煤炭资源的安全开采至关重要。针对取自淮北某矿81采区-950 m回风石门底板的灰岩试样进行了不同围压下的三轴压缩试验,并采用声发射对灰岩的变形破坏全过程进行监测... 详细信息

灰岩作为煤矿广泛赋存的沉积岩之一,揭示其力学性质和损伤演化过程对于煤炭资源的安全开采至关重要。针对取自淮北某矿81采区-950 m回风石门底板的灰岩试样进行了不同围压下的三轴压缩试验,并采用声发射对灰岩的变形破坏全过程进行监测。试验结果表明:(1)灰岩的应力-应变曲线可划分为四个阶段。随着围压的增大,弹性模量E、泊松比μ、起裂应力σ_(ci)以及峰值应力σ_(pv)均会增大,但闭合应力σ_(c)基本保持不变;应力比σ_(c)/σ_(pv)随围压的增大而减小,σ_(ci)/σ_(pv)与σ_(r)/σ_(pv)对围压变化不敏感,残余应力σ_(r)处的内聚力和内摩擦角相比于峰值应力处分别降低了18.94%和26.27%。(2)声发射(AE)演化能够较好地表征灰岩的渐进性破坏过程,不同围压下灰岩的声发射演化规律保持一致;振铃计数峰值随着围压的增大而减小,声发射幅值均分布在20~100 dB范围内,灰岩试样内的高幅值AE事件会随着轴向应力的加载增多并呈聚集分布。(3)以累计振铃计数作为特征参量建立的损伤演化模型能够较好地描述三轴应力下灰岩内部的微裂隙闭合、扩展、贯通直至发生宏观破坏这一渐进性破坏过程。

关键词：灰岩三轴压缩力学性质声发射损伤演化