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GRK2 inhibits Flt-1^(+)macrophage infiltration and its proangiogenic properties in rheumatoid arthritis

Acta Pharmaceutica Sinica B 2024年第1期14卷 241-255页

作者： Xuezhi Yang Yingjie Zhao Qi Wei Xuemin Zhu Luping Wang Wankang Zhang Xiaoyi Liu Jiajie Kuai Fengling Wang Wei Wei Institute of Clinical Pharmacology Anhui Medical UniversityKey Laboratory of Anti-Inflammatory and Immune MedicineAnhui Collaborative Innovation Center of Anti-Inflammatory and Immune MedicineMinistry of EducationHefei 230032China Department of Clinical Pharmacology the Second Affiliated Hospital of Anhui Medical UniversityHefei 230601China

Rheumatoid arthritis(RA)is an autoimmune disease with a complex etiology.Monocyte-derived macrophages(MDMs)infiltration are associated with RA severity.We have reported the deletion of G-protein-coupled receptor kinase 2(GRK2)reprograms macrophages toward an anti-inflammatory phenotype by recovering G-protein-coupled receptor signaling.However,as more GRK2-interacting proteins were discovered,the GRK2 interactome mechanisms in RA have been understudied.Thus,in the collagen-induced arthritis mouse model,we performed genetic GRK2 deletion using GRK2^(f/f)Lyz2-Cre^(+/−)mice.Synovial inflammation and M1 polarization were improved in GRK2^(f/f)Lyz2-Cre^(+/−)mice.Supporting experiments with RNA-seq and dual-luciferase reporter assays identified peroxisome proliferator-activated receptorγ(PPARγ)as a new GRK2-interacting protein.We further confirmed that fms-related tyrosine kinase 1(Flt-1),which promoted macrophage migration to induce angiogenesis,was inhibited by GRK2-PPARγsignaling.Mechanistically,excess GRK2 membrane recruitment in CIA MDMs reduced the activation of PPARγligand-binding domain and enhanced Flt-1 transcription.Furthermore,the treatment of mice with GRK2 activity inhibitor resulted in significantly diminished CIA pathology,Flt-1^(+)macrophages induced-synovial inflammation,and angiogenesis.Altogether,we anticipate to facilitate the elucidation of previously unappreciated details of GRK2-specific intracellular signaling.Targeting GRK2 activity is a viable strategy to inhibit MDMs infiltration,affording a distinct way to control joint inflammation and angiogenesis of RA.

关键词： GRK2 Monocyte-derived macrophages Rheumatoid arthritis PPARg Flt-1

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Statistical learning prediction of fatigue crack growth via path slicing and re-weighting

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Theoretical & Applied Mechanics Letters 2023年第6期13卷 415-423页

作者： Yingjie Zhao Yong Liu Zhiping Xu Applied Mechanics Laboratory Department of Engineering MechanicsTsinghua UniversityBeijing100084China

Predicting potential risks associated with the fatigue of key structural components is crucial in engineering design.However,fatigue often involves entangled complexities of material microstructures and service conditions,making diagnosis and prognosis of fatigue damage challenging.We report a statistical learning framework to predict the growth of fatigue cracks and the life-to-failure of the components under loading conditions with uncertainties.Digital libraries of fatigue crack patterns and the remaining life are constructed by high-fidelity physical simulations.Dimensionality reduction and neural network architectures are then used to learn the history dependence and nonlinearity of fatigue crack growth.Path-slicing and re-weighting techniques are introduced to handle the statistical noises and rare events.The predicted fatigue crack patterns are self-updated and self-corrected by the evolving crack patterns.The end-to-end approach is validated by representative examples with fatigue cracks in plates,which showcase the digital-twin scenario in real-time structural health monitoring and fatigue life prediction for maintenance management decision-making.

关键词： Fatigue crack growth Structural health monitoring Statistical noises Rare events Digital libraries

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On-board modeling of gravity fields of elongated asteroids using Hopfield neural networks

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Astrodynamics 2023年第1期7卷 101-114页

作者： Yingjie Zhao Hongwei Yang Shuang Li Yirong Zhou College of Astronautics Nanjing University of Aeronautics and AstronauticsNanjing 211106China College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing 211106China

To rapidly model the gravity field near elongated asteroids,an intelligent inversion method using Hopfield neural networks(HNNs)is proposed to estimate on-orbit simplified model parameters.First,based on a rotating mass dipole model,the gravitational field of asteroids is characterized using a few parameters.To solve all the parameters of this simplified model,a stepped parameter estimation model is constructed based on different gravity field models.Second,to overcome linearization difficulties caused by the coupling of the parameters to be estimated and the system state,a dynamic parameter linearization technique is proposed such that all terms except the parameter terms are known or available.Moreover,the Lyapunov function of the HNNs is matched to the problem of minimizing parameter estimation errors.Equilibrium values of the Lyapunov function areused as estimated values.The proposed method is applied to natural elongated asteroids 216 Kleopatra,951 Gaspra,and 433 Eros.Simulation results indicate that this method can estimate the simplified model parameters rapidly,and that the estimated simplified model provides a good approximation of the gravity field of elongated asteroids.

关键词： elongated asteroids simplified model Hopfield neural networks(HNNs) on-board learning gravity inversion

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Multifunctional Perovskite Photodetectors: From Molecular-Scale Crystal Structure Design to Micro/Nano-scale Morphology Manipulation

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Nano-Micro Letters 2023年第10期15卷 565-594页

作者： Yingjie Zhao Xing Yin Pengwei Li Ziqiu Ren Zhenkun Gu Yiqiang Zhang Yanlin Song College of Chemistry Zhengzhou UniversityZhengzhou 450001People’s Republic of China Henan Institute of Advanced Technology Zhengzhou UniversityZhengzhou 450001People’s Republic of China Key Laboratory of Green Printing Institute of ChemistryChinese Academy of Sciences(ICCAS)Beijing 100190People’s Republic of China

Multifunctional photodetectors boost the development of traditional optical communication technology and emerging artificial intelligence fields, such as robotics and autonomous driving. However, the current implementation of multifunctional detectors is based on the physical combination of optical lenses, gratings, and multiple photodetectors, the large size and its complex structure hinder the miniaturization, lightweight, and integration of devices. In contrast, perovskite materials have achieved remarkable progress in the field of multifunctional photodetectors due to their diverse crystal structures, simple morphology manipulation, and excellent optoelectronic properties. In this review, we first overview the crystal structures and morphology manipulation techniques of perovskite materials and then summarize the working mechanism and performance parameters of multifunctional photodetectors. Furthermore, the fabrication strategies of multifunctional perovskite photodetectors and their advancements are highlighted, including polarized light detection, spectral detection, angle-sensing detection, and selfpowered detection. Finally, the existing problems of multifunctional detectors and the perspectives of their future development are presented.

关键词： Perovskite materials Crystal structure design Micro/nano-structure manipulation Working mechanism Multifunctional photodetectors

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A credible traffic prediction method based on self-supervised causal discovery

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Science China(Information Sciences) 2024年第5期67卷 244-258页

作者： Dan WANG yingjie LIU Bin SONG Xidian University State Key Laboratory of Integrated Services Networks

Next-generation wireless network aims to support low-latency, high-speed data transmission services by incorporating artificial intelligence(AI) technologies. To fulfill this promise, AI-based network traffic prediction is essential for pre-allocating resources, such as bandwidth and computing power. This can help reduce network congestion and improve the quality of service(QoS) for users. Most studies achieve future traffic prediction by exploiting deep learning and reinforcement learning, to mine spatio-temporal correlated variables. Nevertheless, the prediction results obtained only by the spatio-temporal correlated variables cannot reflect real traffic changes. This phenomenon prevents the true prediction variables from being inferred, making the prediction algorithm perform poorly. Inspired by causal science, we propose a novel network traffic prediction method based on self-supervised spatio-temporal causal discovery(SSTCD). We first introduce the Granger causal discovery algorithm to build a causal graph among prediction variables and obtain spatio-temporal causality in the observed data, which reflects the real reasons affecting traffic changes.Next, a graph neural network(GNN) is adopted to incorporate causality for traffic prediction. Furthermore,we propose a self-supervised method to implement causal discovery to to address the challenge of lacking ground-truth causal graphs in the observed data. Experimental results demonstrate the effectiveness of the SSTCD method.

关键词： wireless network traffic prediction causal discovery self-supervised

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Effect of biochar application on rice,wheat,and corn seedlings in hydroponic culture

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Journal of Environmental Sciences 2024年第1期135卷 379-390页

作者： yingjie Yin Jikai Li Sihang Zhu Qing Chen Chong Chen Yukui Rui Jianying Shang College of Land Science and Technology China Agricultural UniversityKey Laboratory of Plant-Soil InteractionsMinistry of Educationand Key Laboratory of Arable Land Conservation in North ChinaMinistry of Agriculture and Rural AffairsBeijing 100193China Agricultural Management Institute Ministry of Agriculture and Rural AffairsBeijing 102208China College of Resources and Environmental Sciences China Agricultural UniversityBeijing Key Laboratory of Farmland Soil Pollution Prevention and RemediationBeijing 100193China

In recent years,biochar has attracted considerable attention for soil quality improvement and carbon sequestration due to its unique physicochemical properties.However,the mechanism by which biochar application negatively affects the growth of crop seedlings has not been fully investigated.In this study,a hydroponic experiment was conducted to evaluate the response of rice,wheat,and corn seedlings to biochar application(CK,0 g/L;BC1,0.5 g/L;and BC2,1.0 g/L).Compared with the CK treatment,the BC1 and BC2 treatments decreased the fresh shoot and root weights of rice and corn seedlings(P0.05).For the contents of nutrient elements in seedlings,both BC1 and BC2 treatments hindered the roots from absorbing Fe and Cu and increased the uptake of Ca and Mn.Compared with the CK treatment,the translocation factor(TF)values of Ca,Mn,and Zn were significantly decreased especially in rice seedlings(35.3%-36.8%,68.7%-76.5%,and 29.8%-22.0%,respectively)under the BC1 and BC2 treatments,while only Mn was significantly decreased in wheat and corn seedlings(P<0.05).Transmission electron microscope(TEM)analysis of root cross-sections showed that nano-sized biochar particles(10~23 nm)were found in the root cells under BC2 treatment conditions.Our findings reveal that a large amount of biochar application can reduce nutrient absorption and translocation,and hinder rice,wheat,and corn seedlings,particularly rice seedling,in hydroponic system.

关键词： Biochar Toxicity Seedling growth Hydroponic cultivation

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Fully Conjugated Covalent Organic Frameworks:Synthesis,Structures and Applications

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Chinese Journal of Chemistry 2023年第23期41卷 3447-3472页

作者： Yueshuai Xu Guanshi Ren Dianqi Zhang Lishui Sun Yingjie Zhao College of Polymer Science and Engineering Qingdao University of Science and TechnologyQingdaoShandong266000 China

This review presents a comprehensive examination of fully conjugated covalent organic frameworks(COFs),which constitute an emerging class of porous materials with immense potential for diverse applications.This article focuses on diversified fully conjugated COFs,including sp2 carbon-carbon linkages,pyrazine linkages,benzobisoxazole linkages,dioxin linkages,β-aminoalkenone linkages,etc.The synthesis techniques and structural attributes of these COFs are expounded upon in great detail,along with their potential applications in various fields.The review thus provides a valuable resource for researchers keen on delving into the synthesis and applications of fully conjugated COFs,thereby highlighting their potential for developing novel functional materials with distinctive properties.

关键词： Covalent organic frameworks Fully-conjugated system Crystallinity Stability Conjugation Porous polymers Conjugated polymers

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Possible link between new coronavirus variants and atmospheric lightning and seawater intrusion

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Atmospheric and Oceanic Science Letters 2022年第1期15卷 81-83页

作者： Jianping Huang Yingjie Zhao Danfeng Wang Collaborative Innovation Centre for West Ecological Safety(CIWES) Lanzhou UniversityLanzhouChina

自新型冠状病毒肺炎暴发一年多以来,已经对全球产生深远影响.新型冠状病毒肺炎变异毒株的出现使当前疫情发展充满了不确定性.从这方面出发,我们讨论病毒变异与大气因素之间的联系.根据固氮过程和硝酸盐在人体中的转化过程,我们提出了新... 详细信息

自新型冠状病毒肺炎暴发一年多以来,已经对全球产生深远影响.新型冠状病毒肺炎变异毒株的出现使当前疫情发展充满了不确定性.从这方面出发,我们讨论病毒变异与大气因素之间的联系.根据固氮过程和硝酸盐在人体中的转化过程,我们提出了新型冠状病毒肺炎变异毒株的出现或许和闪电以及海水入侵有联系.我们的研究对新型冠状病毒肺炎变异毒株可能的产生原因提供新的观点.

关键词：新型冠状病毒肺炎变异毒株闪电海水亚硝酸盐硝酸盐一氧化氮

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Is the Omicron variant of SARS-CoV-2 coming to an end?

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The Innovation 2022年第3期3卷 13-14页

作者： Yingjie Zhao Jianping Huang Li Zhang Xinbo Lian Danfeng Wang Collaborative Innovation Centre for West Ecological Safety(CIWES) Lanzhou UniversityLanzhou 730000China College of Atmospheric Sciences Lanzhou UniversityLanzhou 730000China

The coronavirus disease 2019(COVID-19)pandemic has caused infection in more than 400 million people,and 5.8 million deaths.The most recent outbreak was caused by the Omicron variant,which was first identified in South Africa on November 11,2021.It has spread to more than 150 countries thus far.The fast spread of theOmicron variant has caused great concernworldwide.Compared to the previous outbreaks of COVID-19 variants,the Omicron outbreak is much larger.As shown in Figure 1A,a sharp surge appeared in approximately January 2022.

关键词： Figure infection Omi

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Study of the Ballistic Impact Behavior of Protective Multi-Layer Composite Armor

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 171-199页

作者： Dongsheng Jia yingjie Xu Liangdi Wang Jihong Zhu Weihong Zhang State IJR Center of Aerospace Design and Additive Manufacturing Northwestern Polytechnical UniversityXi’an710072China

The abalone shell,a composite material whose cross-section is composed of inorganic and organic layers,has high strength and toughness.Inspired by the abalone shell,several multi-layer composite plates with different layer sequences and thicknesses are studied as bullet-proof material in this paper.To investigate the ballistic performance of this multi-layer structure,the complete characterization model and related material parameters of large deformation,failure and fracture ofAl_(2)O_(3)ceramics andCarbon Fiber Reinforced Polymer(CFRP)are studied.Then,3D finite element models of the proposed composite plates with different layer sequences and thicknesses impacted by a 12.7 mm armor-piercing incendiary(API)are built using Abaqus to predict failure.The simulation results show that the CFRP/Al2O3 ceramic/Ultrahigh Molecular Weight Polyethylene(UHMWPE)/CFRP(1 mm/4 mm/4 mm/1 mm)composite is the optimized stack of layers.The simulation results under specified layer sequence and thickness have a reasonable correlation with the experimental results and reflect the failure and fracture of the multi-layer composite protective armor.

关键词： Protective armor composite bionic design structure design mechanical property

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