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Angiotensin-converting enzyme 2(ACE2):SARS-CoV-2 receptor and RAS modulator

Acta Pharmaceutica Sinica B 2021年第1期11卷 1-12页

作者： Jingwei Bian Zijian Li Department of Cardiology and Institute of Vascular Medicine Peking University Third HospitalKey Laboratory of Cardiovascular Molecular Biology and Regulatory PeptidesMinistry of HealthKey Laboratory of Molecular Cardiovascular SciencesMinistry of EducationBeijing Key Laboratory of Cardiovascular Receptors ResearchBeijing 100191China Department of Pharmacy Peking University Third HospitalBeijing 100191China

The coronavirus disease 2019(COVID-19)outbreak is caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Angiotensin-converting enzyme 2(ACE2)was rapidly identified as the critical functional receptor for SARS-CoV-2.ACE2 is well-known as a counter-regulator of the renin-angiotensin system(RAS)and plays a key role in the cardiovascular system.Given that ACE2 functions as both a SARS-CoV-2 receptor and a RAS modulator,the treatment for COVID-19 presents a dilemma of how to limit virus entry but protect ACE2 physiological functions.Thus,an in-depth summary of the recent progress of ACE2 research and its relationship to the virus is urgently needed to provide possible solution to the dilemma.Here,we summarize the complexity and interplay between the coronavirus,ACE2 and RAS(including anti-RAS drugs).We propose five novel working modes for functional receptor for SARS-CoV-2 infection and the routes of ACE2-mediated virus entering host cells,as well as its regulatory mechanism.For the controversy of anti-RAS drugs application,we also give theoretical analysis and discussed for drug application.These will contribute to a deeper understanding of the complex mechanisms of underlying the relationship between the virus and ACE2,and provide guidance for virus intervention strategies.

关键词： SARS-CoV-2 Angiotensin-converting enzyme 2 Renin-angiotensin system Receptor Modulator COVID-19 Anti-RAS drug Drug target

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Tsai Chiao:The founder of physiology and aviation,aerospace and navigation medicine in China

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Protein & Cell 2022年第11期13卷 779-784页

作者： Yalan Wang Zijian Li Yanyan Qian Benyu Guo Psychology College Nanjing Normal UniversityNanjing 210097China Social and Behavioural Sciences Faculty Leiden University2333 AK LeidenNetherlands

On February 16th,2019,Tsai Academician Museum held a launch ceremony of a minor planet(207681)'s settling in Jieyang County,Guangdong Province.This minor planet was given a new name Cai Qiao(Fig.1)on October 14th,2011.Cai Qiao was discovered at Xu Yi Station in the Purple Hills Observatory of the Chinese Academy of Sciences on August 16th,2007.So who is the planet named after?

关键词： Academician planet aviation

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A novel β_(2)-AR agonist,Higenamine,induces β-arrestin-biased signaling

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Science China(life Sciences) 2022年第7期65卷 1357-1368页

作者： Nana Zhang Haibo Zhu Zijian Li Erdan Dong State Key Laboratory for Bioactive Substances and Functions of Natural Medicines/Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study/Institute of Materia Medica Chinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing 100050China Department of Cardiology and Institute of Vascular Medicine Peking University Third Hospital/Key Laboratory of Cardiovascular Receptors ResearchBeijing/Key Laboratory of Molecular Cardiovascular SciencesMinistry of Education/Key Laboratory of Cardiovascular Molecular Biology and Regulatory PeptidesMinistry of HealthBeijing 100191China

The biased ligands in G protein-coupled receptors(GPCRs)have opened new avenues for developing safer and more effective drugs.However,the identification of such biased ligands as drug candidates is highly desirable.Here,we report that Higenamine,a compound isolated from a Chinese herb,functions as a novel β-arrestin-biased ligand of the β_(2)-adrenergic receptor(β_(2)-AR).The radioligand binding assays demonstrated that Higenamine was the ligand of β_(2)-AR.Higenamine induced phosphorylation of extracellular signal-regulated kinase 1/2(ERK1/2),which can be blocked by propranolol,an inhibitor of β_(2)-AR.The Gi protein inhibitor,pertussis toxin,had no effect on the phosphorylation of ERK1/2 induced by Higenamine.Furthermore,Higenamine induced ERK1/2 phosphorylation through transactivation of Epithelial growth factor receptor(EGFR).We also found that Higenamine-induced-ERK1/2 phosphorylation is dependent on β-arrestin1/2,and HG inhibits Doxorubicin-induced cardiomyocyte apoptosis.Our results identify Higenamine as a novel biased ligand via the β-arrestin-dependent pathway.These findings give us a better understanding of Higenamine’s potential role in designing diagnostic and therapeutic strategies.

关键词： Higenamine β_(2)-adrenergic receptor β-arrestin-biased signaling extracellular signal-regulated kinase 1/2

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Microcapsule-enabled self-healing concrete:A bibliometric analysis

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Frontiers of Structural and Civil Engineering 2023年第11期17卷 1611-1629页

作者： Shuai ZHOU Zijian Li Kai li Yue JIA Chong WANG Xiaoying ZHUANG College of Materials Science and Engineering Chongqing UniversityChongqing 400045China Department of Mathematics and Physics Leibniz Universität HannoverHannover 30167Germany Department of Geotechnical Engineering College of Civil EngineeringTongji UniversityShanghai 200092China

With the development of self-healing technology, the overall properties of the microcapsule-enabled selfhealingconcrete have taken a giant leap. In this research, a detailed assessment of current research on the microcapsuleenabledself-healing concrete is conducted, together with bibliometric analysis. In the bibliometric analysis, variousindicators are considered. The current state of progress regarding self-healing concrete is assessed, and an analysis of thetemporal distribution of documents, organizations and countries of literature is conducted. Later, a discussion of thecitations is analyzed. The research summarizes the improvements of microcapsule-enabled self-healing cementitiouscomposites and provides a concise background overview.

关键词： microcapsule self-healing concrete bibliographic analysis

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Corpus Augmentation for Improving Neural Machine Translation

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Computers, Materials & Continua 2020年第7期64卷 637-650页

作者： Zijian Li Chengying Chi Yunyun Zhan University of Science and Technology liaoning Anshan114031China College of Science&Health Technological University DublinDublinD08 X622Ireland

The translation quality of neural machine translation(NMT)systems depends largely on the quality of large-scale bilingual parallel corpora available.Research shows that under the condition of limited resources,the performance of NMT is greatly reduced,and a large amount of high-quality bilingual parallel data is needed to train a competitive translation model.However,not all languages have large-scale and high-quality bilingual corpus resources available.In these cases,improving the quality of the corpora has become the main focus to increase the accuracy of the NMT results.This paper proposes a new method to improve the quality of data by using data cleaning,data expansion,and other measures to expand the data at the word and sentence-level,thus improving the richness of the bilingual data.The long short-term memory(LSTM)language model is also used to ensure the smoothness of sentence construction in the process of sentence construction.At the same time,it uses a variety of processing methods to improve the quality of the bilingual data.Experiments using three standard test sets are conducted to validate the proposed method;the most advanced fairseq-transformer NMT system is used in the training.The results show that the proposed method has worked well on improving the translation results.Compared with the state-of-the-art methods,the BLEU value of our method is increased by 2.34 compared with that of the baseline.

关键词： Neural machine translation corpus argumentation model improvement deep learning data cleaning

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Wet-chemical synthesis of two-dimensional metal nanomaterials for electrocatalysis

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National Science Review 2022年第5期9卷 37-56页

作者： Zijian Li li Zhai Yiyao Ge Zhiqi Huang Zhenyu Shi Jiawei liu Wei Zhai Jinzhe liang Hua Zhang Department of Chemistry City University of Hong Kong Hong Kong Branch of National Precious Metals Material Engineering Research Center(NPMM) City University of Hong Kong School of Materials Science and Engineering Nanyang Technological University Shenzhen Research Institute City University of Hong Kong

Two-dimensional(2D) metal nanomaterials have gained ever-growing research interest owing to their fascinating physico chemical properties and promising application,especially in the held of ele ctrocatalysis.In this review,we briefly introduce the recent advances in wet-chemical synthesis of 2D metal nanomaterials.Subsequently,the catalytic performances of 2D metal nanomaterials in a variety of electrochemical reactions are illustrated.Finally,we summarize current challenges and highlight our perspectives on preparing high-performance 2D metal electro catalysts.

关键词： two-dimensional metal nanomaterials wet-chemical synthesis phase heterophase electrocatalysis

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Two-dimensional semiconductors integrated with hybrid dielectrics for post-Moore electronics

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National Science Review 2023年第12期10卷 44-45页

作者： Wei Zhai Yao Yao Zijian Li li Zhai Hua Zhang Department of Chemistry City University of Hong Kong Hong Kong Branch of National Precious Metals Material Engineering Research Center(NPMM) City University of Hong Kong Shenzhen Research Institute City University of Hong Kong

As the basic building blocks of modern electronics, field-effect transistors (FETs)use gate electrodes to control the conductivity of channel materials through the electrical polarization of dielectrics[1]. The performance of FETs relies not only on the channel materials and their contacts with the electrodes, but also on the dielectrics and their interfaces with the channel materials [1,2].

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Oxygen-deficient SnO_(2)nanoparticles with ultrathin carbon shell for efficient electrocatalytic N_(2)reduction

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Green Energy & Environment 2022年第4期7卷 672-679页

作者： Guangkai li Haeseong Jang Zijian Li Jia Wang Xuqiang Ji Min Gyu Kim Xien liu Jaephil Cho State Key Laboratory Base of Eco-chemical Engineering College of Chemical EngineeringCollege of Chemistry and Molecular EngineeringQingdaoUniversity of Science and TechnologyQingdao266042China Department of Energy Engineering School of Energy and Chemical EngineeringUlsan National Institute of Science and Technology(UNIST)Ulsan689-798South Korea College of Materials Science and Engineering Qingdao UniversityQingdao266071China Beamline Research Division Pohang Accelerator Laboratory(PAL)Pohang790-784South Korea

For high-efficiency NH_(3)synthesis via ambient-condition electrohydrogenation of inert N_(2),it is pivotal to ingeniously design an active electrocatalyst with multiple features of abundant surfacial deficiency,good conductivity and large surface area.Here,oxygen-deficient SnO_(2)nanoparticles encapsulated by ultrathin carbon layer(d-SnO_(2)@C)are developed by hydrothermal deposition coupled with annealing process,as promising catalysts for ambient electrocatalytic N_(2)reduction.d-SnO_(2)@C exhibits high activity and excellent selectivity for electrocatalytic conversion of N_(2)to NH_(3)in acidic electrolytes,with Faradic efficiency as high as 12.7%at-0.15 V versus the reversible hydrogen electrode(RHE)and large NH_(3)yield rate of 16.68μg h^(-1)mgcat^(-1)at-0.25 V vs.RHE in 0.1 mol L^(-1)HCl.Benefiting from the structural superiority of enhanced charge transfer efficiency and optimized surface states,d-SnO_(2)@C also achieves excellent long-term stability.

关键词： N_(2)reduction reaction NH_(3)synthesis SnO_(2) Electrocatalysts Ambient conditions

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Quantitative analysis of impact of green stormwater infrastructures on combined sewer overflow control and urban flooding control

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Frontiers of Environmental Science & Engineering 2017年第4期11卷 93-104页

作者： Jinsong Tao Zijian Li Xinlai Peng Gaoxiang Ying State Key Laboratory of Pulp and Paper Engineering South China University of Technology Guangzhou 510640 China Department of Civil Engineering Case Western Reserve University Cleveland OH 44106 USA Unified Investigations & Sciences. Fort Lauderdale FL 33071 USA Office of Watersheds Philadelphia Water 1101 Market Street 4th Floor Philadelphia PA 19107 USA

Stimulated by the recent USEPA＇s green stormwater infrastructure （GSI） guidance and policies, GS1 systems have been widely implemented in the municipal area to control the combined sewer overflows （CSOs）, also known as low impact development （liD） approaches. To quantitatively evaluate the performance of GSI systems on CSO and urban flooding control, USEPA-Stormwater Management Model （SWMM） model was adopted in this study to simulate the behaviors of GSI systems in a well- developed urban drainage area, PSW45, under different circumstances. The impact of different percentages of stormwater runoff transported from impervious surfaces to the GSI systems on CSO and urban flooding control has also been investigated. Results show that with current buildup, GSI systems in PSW45 have the best performance for low intensity and short duration events on both volume and peak flow reductions, and have the worst pertbrmance tor high intensity and long durataon events. Since the low intensity and short duration events are dominant from a long-term perspective, utilizing GSI systems is considered as an effective measure of CSO control to meet the long-term controlstrategy for PSW45 watershed. However, GSI systems are not suitable for the flooding control purpose in PSW45 due to the high occurrence possibility of urban flooding during or after high intensity events where GSI systems have relatively poor performance no matter for a short or long duration event,

关键词： Green stormwater infrastructure （GSI） Combined sewer overflows （CSOs） Urban flooding Low impact development （liD） Stormwater Management Model （SWMM）

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Uncertainty Analysis Method of Casing Extrusion Load for Ultra-Deep Wells

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Computer Modeling in Engineering & Sciences 2017年第4期113卷 475-495页

作者： Meng li Kanhua Su Zijian Li Dongjie li lifu Wan School of Petroleum Chongqing University of Science and TechnologyChongqing401331China Memorial University of Newfoundland St.John'sA1C5S7Canada Engineering Technology Research Institute PetroChina Huabei Oilfield CompanyRenqiu062552China

With the consideration of the randomness of complex geologic parameters for ultra-deep wells,an uncertainty analysis method is presented for the extrusion load on casing in ultra-deep wells through complex formation at a certain confidence level.Based on the extrusion load model for casing in ultra-deep wells and the prerequisite of integrity of formation-cement ring-casing,the probability and statistics theory are introduced and the sensitivity analysis on the uncertainty of extrusion load on casing is conducted.The distribution types of each formation parameters are determined statistically.The distribution type and distribution function of the extrusion load on casing are derived.Then,the uncertainty analysis of the extrusion load on casing is carried out on several ultra-deep wells in Shanqian block as case study.Several conclusions are made regarding to the field trial result.The randomness of formation elasticity modulus and formation Poisson’s ratio are the main influence factors.The equivalent density profile of extrusion load on casing in ultra-deep wells is a confidence interval with a certain confidence level,rather than a single curve;the higher the confidence level is,the larger the bandwidth of the confidence interval of equivalent density profile becomes,and the larger the range of uncertainty interval becomes.Compared with the result of uncertainty analysis,an error exists in the result of traditional single valued calculation method.The error varies with different casing program and can be either positive or negative.The application of uncertainty analysis of extrusion load on casing provides proof for the accurate determination of casing collapse safety factor.Thus,the over engineering design or under engineering design as a result of tradition casing design will be avoided.

关键词： Ultra-deep well formation parameters uncertainty extrusion load confidence interval

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