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Gastric cancer secreted miR 214-3p inhibits the anti-angiogenesis effect of apatinib by suppressing ferroptosis in vascular endothelial cells

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Oncology Research 2024年第3期32卷 489-502页

作者： WEIXUE WANG TONGTONG WANG YAN zhang TING DENG haiyang zhang YI BA Department of GI Medical Oncology Tanjin Medical University Cancer Institute and HospitalNational Clinical Research Center for CancerTianjin's Clinical Research Center for CancerTianjin Key Iaboratory of Digestive CancerKey Laboratory of Cancer Prevention and TherapyTianjin300060China

Diferent from necrosis,apoptosis,autophagy and other forms of cell death,ferroptosis is a mechanism that catalyzes lipid peroxidation of polyunsaturated ftty acids under the action of iron divalent or lipoxygenase,leading to cell *** is currently used in the third line standard treatment of advanced gastric cancer,targeting the anti-angiogenesis ***,Apatinib mediated ferroptosis in vascular endothelial cells has not been reported *** exosomes can be taken up into target cells to regulate tumor development,but the mechanism related to vascular endothelial cell ferroptosis has not yet been ***,we show that exosomes secreted by gastric cancer cells carry miR-214.3p into vascular endothelial cells and directdy target zinc finger protein A20 to negatively regulate ACSL4,a key enzyme of lipid peroxidation during frroptosis thereby inhibiting ferroptosis in vascular endothelial cells and reducing the eficiency of *** conclusion,inhibition of miR-214-3p can increase the sensitivity of vascular endothelial cells to Apatinib,thereby promoting the antiangiogenic efect of Apatinib,suggesting a potential combination therapy for advanced gastric cancer.

关键词： Cellular ferroptosis Exosome Tyrosine kinase inhibitor Gastrointestinal tumors miRNA

Simulation model optimization for bonnet polishing considering consistent contact area response

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Frontiers of Mechanical Engineering 2024年第4期19卷 87-105页

作者： Yanjun HAN haiyang zhang Menghuan YU Jinzhou YANG Linmao QIAN School of Mechanical Engineering Southwest Jiaotong UniversityChengdu 610031China Institute of Data Science Maastricht UniversityMaastricht 6229ENthe Netherlands

Simulation model optimization plays a crucial role in the accurate prediction of material removal function in bonnet polishing processes,but model complexity often poses challenges to the practical implementation and efficiency of these *** paper presents an innovative method for optimizing simulation model parameters,focusing on achieving consistent contact area and the accurate prediction of the material removal function while preventing increase in model ***,controllable and uncontrollable factors in bonnet simulations are analyzed,and then a simplified contact model is developed and applied under constant force *** characterize the bonnet's contact performance,a contact area response curve is introduced,which can be obtained through a series of single spot contact ***,a rubber hyperelastic parameter optimization model based on a neural network is proposed to achieve optimal matching of the contact area between simulation and *** average deviation of the contact area under different conditions was reduced from 22.78%before optimization to 3.43%after optimization,preliminarily proving the effectiveness of the proposed simulation optimization ***,orthogonal experiments are further conducted to validate the proposed *** comparison between the experimental and predicted material removal functions reveals a high consistency,validating the accuracy and effectiveness of the proposed optimization method based on consistent contact *** research provides valuable insights into enhancing the reliability and effectiveness of bonnet polishing simulations with a simple and practical approach while mitigating the complexity of the model.

关键词： bonnet polishing simulation contact area tool influence function optimization

Machine learning for predicting fatigue properties of additively manufactured materials

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Chinese Journal of Aeronautics 2024年第4期37卷 1-22页

作者： Min YI Ming XUE Peihong CONG Yang SONG haiyang zhang Lingfeng WANG Liucheng ZHOU Yinghong LI Wanlin GUO State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016China Institute for Frontier Science Nanjing University of Aeronautics and AstronauticsNanjing 210016China College of Aerospace Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Shenyang Engine Research Institute Shenyang 110015China Liaoning Key Laboratory of Impact Dynamics on Aero Engine Shenyang 110015China Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038China

Fatigue properties of materials by Additive Manufacturing(AM) depend on many factors such as AM processing parameter, microstructure, residual stress, surface roughness, porosities, post-treatments, etc. Their evaluation inevitably requires these factors combined as many as possible, thus resulting in low efficiency and high cost. In recent years, their assessment by leveraging the power of Machine Learning(ML) has gained increasing attentions. A comprehensive overview on the state-of-the-art progress of applying ML strategies to predict fatigue properties of AM materials, as well as their dependence on AM processing and post-processing parameters such as laser power, scanning speed, layer height, hatch distance, built direction, post-heat temperature,etc., were presented. A few attempts in employing Feedforward Neural Network(FNN), Convolutional Neural Network(CNN), Adaptive Network-Based Fuzzy Inference System(ANFIS), Support Vector Machine(SVM) and Random Forest(RF) to predict fatigue life and RF to predict fatigue crack growth rate are summarized. The ML models for predicting AM materials' fatigue properties are found intrinsically similar to the commonly used ones, but are modified to involve AM features. Finally, an outlook for challenges(i.e., small dataset, multifarious features,overfitting, low interpretability, and unable extension from AM material data to structure life) and potential solutions for the ML prediction of AM materials' fatigue properties is provided.

关键词： Additive manufacturing Machine learning Fatigue life Fatigue crack growth rate Prediction

Lidar-Based Action-Recognition Algorithm for Medical Quality Control

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激光与光电子学进展 2024年第12期61卷 306-314页

作者： Wang Yuanze zhang haiyang Wu Xuan Kong Chunxiu Ju Yezhao Zhao Changming School of Optics and Photonics Beijing Institute of TechnologyBeijing 100081China Key Laboratory of Photoelectronic Imaging Technology and System Ministry of EducationBeijing 100081China Key Laboratory of Information Photon Technology Ministry of Industry and Information TechnologyBeijing 100081China

Medical-action recognition is crucial for ensuring the quality of medical *** advancements in deep learning,RGB camera-based human-action recognition made huge ***,RGB cameras encounter issues,such as depth ambiguity and privacy *** this paper,we propose a novel lidar-based action-recognition algorithm for medical quality ***,point-cloud data were used for recognizing hand-washing actions of doctors and recording the action’s *** improved anchor-to-joint(A2J)network,with pyramid vision transformer and feature pyramid network modules,was developed for estimating the human *** addition,we designed a graph convolution network for action classification based on the skeleton ***,we evaluated the performance of the improved A2J network on the open-source ITOP and our medical pose estimation ***,we tested our medical action-recognition method in actual wards to demonstrate its effectiveness and running *** results show that the proposed algorithm can effectively recognize the actions of medical staff,providing satisfactory real-time performance and 96.3% action-classification accuracy.

关键词： ambient intelligence lidar human action recognition deep learning medical care

Deletion of a 1,049 bp sequence from the 5′UTR upstream of the SiHEC3 gene induces a seed non-shattering mutation in sesame

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Journal of Integrative Agriculture 2024年第8期23卷 2589-2604页

作者： Ming Ju Guiting Li Qiuzhen Tian Hengchun Cao Qin Ma Yinghui Duan Hui Guo Zhanyou zhang Yingying Huang Huili Wang haiyang zhang Hongmei Miao The Shennong Laboratory Zhengzhou 450002China Henan Sesame Research Center Henan Academy of Agricultural SciencesZhengzhou 450002China Key Laboratory of Specific Oilseed Crops Genomics of Henan Province Henan Sesame Research CenterHenan Academy of Agricultural SciencesZhengzhou 450002China

Sesame is a labor intensive crop with limited mechanized harvesting mainly due to the seed shattering(SS)*** this study,we performed a genetic analysis of the seed-shattering resistance(SR)trait with a SR sesame mutant *** the SS type,the parenchyma cells in the abscission zone of the 12M07 mutant are arranged loosely but adhere to the seed *** analysis of six generations derived from 12M07(SR)×Xiangcheng Dazibai(SS)showed that the SR trait is recessive and controlled by a single gene *** mapping of the F2population with 888,619 variants(single-nucleotide polymorphisms(SNPs)and insertion-deletion(InDels))and 31,884 structural variations(SVs)determined that only SV12002 in the 5′upstream region of gene Sindi0765000(named SiHEC3)in Chr.3 was significantly associated with the SR ***3 encodes the bHLH transcription factor.A 1,049 bp deletion occurred in the 5′UTR of Sihec3 in ***3 is mainly expressed in developing placental tissues,with the expression peaking in capsules at 45 days after pollination.A dual-luciferase reporter assay in tobacco confirmed that the promoter activity of Sihec3 was reduced because of the deletion of the 1,049 bp promoter ***–protein interaction network analysis showed that HEC3 is co-expressed with nine key proteins,such as SHATTERPROOF1(SHP1)and SEEDSTICK(STK)which participate in the secondary wall biosynthesis of the abscission layer in *** findings of this study show the important function of Sihec3corresponding with the SR trait and supply the genetic information for breeding new varieties that are amenable to mechanized harvesting in sesame and other crops.

关键词： sesame(Sesamum indicum L.) association mapping seed shattering structure variation bHLH transcription factor

Identification of Fusarium wilt resistance gene SiRLK1 in Sesamum indicum L.

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The Crop Journal 2024年第1期12卷 252-261页

作者： Yinghui Duan Wenwen Qu Shuxian Chang Ming Ju Cuiying Wang Cong Mu Hengchun Cao Guiting Li Qiuzhen Tian Qin Ma Zhanyou zhang haiyang zhang Hongmei Miao The Shennong Laboratory Zhengzhou 450002HenanChina Henan Sesame Research Center Henan Academy of Agricultural SciencesZhengzhou 450002HenanChina Key Laboratory of Specific Oilseed Crops Genomics of Henan Province Henan Sesame Research CenterHenan Academy of Agricultural SciencesZhengzhou 450002HenanChina

Sesame Fusarium wilt(SFW),caused by Fusarium oxysporum ***(Fos),is one of the most devastating diseases affecting sesame *** the genetic control of SFW resistance is pivotal for effective disease management in *** inheritance study on a cross between the highly resistant variety Yuzhi 11 and the highly susceptible accession Sp1 using a Fos pathogenicity group 1 isolate indicated that resistance was conferred by a single dominant *** target locus was located in a 1.24 Mb interval on chromosome 3 using a combination of cross-population association mapping and bulked segregant *** genetic mapping further narrowed the interval between 21,350 and 21,401 *** locus Sindi_0812400 was identified as the SFW resistance gene and officially designated *** gene encodes a specific malectin/receptor-like protein kinase with three putative tandem kinase domains and is considered a kinase fusion *** analysis revealed that a high proportion(49.44%)of variants within the locus was located within the kinase domainⅢ,and several of which were evidently associated with the diversity in SFW response,indicating the critical role of kinase domainⅢin expression of disease *** findings provide valuable information for further functional analysis of SFW resistance genes and marker-assisted resistance breeding in sesame.

关键词： Breeding for resistance Genetic analysis Molecular analysis Tandem kinase domain

Research Progress of LipiFlow Therapy for Meibomian Gland Dysfunction

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Expert Review of Chinese Medical

Expert Review of Chinese Medical 2024年第1期2卷 22-26页

作者： Lihong Fu haiyang zhang Inner Mongolia Medical University

Meibomian gland dysfunction(MGD)is a common ocular surface disease,and the pathogenesis of MGD is closely related to the alteration of meibomian gland morphology and(or)*** present,the treatment strategy for MGD consists of physical therapy,artificial lubricants,topical and systemic antibiotics and antiinflammatory agents,topical steroids andΩ-3 dietary ***,the thermal pulsation system(LipiFlow)has been used clinically,which allows heat to be applied to the palpebral surfaces of the upper and lower eyelids directly over the meibomian glands,while simultaneously applying pulsatile pressure to the outer eyelid *** to its specific design,the cornea and eyeball can successfully avoid the potential damage from overheating and improper expression,which will greatly improve the safety during the clinical application and patients'*** have showed that the effectiveness of LipiFlow when treating MGD is at least as well as twice-daily lid warming and massage for 3 months,which displays a broad application *** present,the application of LipiFlow in China has not been fully developed,and only some hospitals have experimental *** paper summarizes the research progress of LipiFlow treatment in MGD.

关键词： meibomian gland dysfunction physical therapy thermal pulsation system effectiveness safety

Increased dependence on nitrogen-fixation of a native legume in competition with an invasive plant

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Plant Diversity 2024年第4期46卷 510-518页

作者： Meixu Han haiyang zhang Mingchao Liu Jinqi Tang Xiaocheng Guo Weizheng Ren Yong Zhao Qingpei Yang Binglin Guo Qinwen Han Yulong Feng Zhipei Feng Honghui Wu Xitian Yang Deliang Kong College of Forestry Henan Agricultural UniversityZhengzhou 450002China College of Life Science Hebei UniversityBaoding 071002China Liaoning Key Laboratory for Biological Invasions and Global Changes College of Bioscience and BiotechnologyShenyang Agricultural UniversityShenyangLiaoning 110866China College of Horticulture China Agricultural UniversityBeijing 100193China State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijing 100081China Key Laboratory of Arable Land Quality Monitoring and Evaluation Ministry of Agriculture and Rural AffairsInstitute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijing 100081China

Suppression of roots and/or their symbiotic microorganisms,such as mycorrhizal fungi and rhizobia,is an effective way for alien plants to outcompete native ***,little is known about how invasive and native plants interact with the quantity and activity of nutrient-acquisition *** a pot experiment was conducted with monoculture and mixed plantings of an invasive plant,Xanthium strumarium,and a common native legume,Glycine *** measured traits related to root and nodule quantity and activity and mycorrhizal *** to the monoculture,fine root quantity(biomass,surface area)and activity(root nitrogen(N)concentration,acid phosphatase activity)of *** decreased in mixed plantings;nodule quantity(biomass)decreased by 45%,while nodule activity in Nfixing via rhizobium increased by 106%;mycorrhizal colonization was *** of N fixation to leaf N content in *** increased in the mixed plantings,and this increase was attributed to a decrease in the rhizosphere soil N of *** in the mixed *** root quantity and activity,along with a higher mycorrhizal association was observed in *** in the mixed compared to ***,the invasive plant did not directly scavenge N from nodule-fixed N,but rather depleted the rhizosphere soil N of the legume,thereby stimulating the activity of N-fixation and increasing the dependence of the native legume on this N *** quantity-activity framework holds promise for future studies on how native legumes respond to alien plant invasions.

关键词： Mycorrhizal strategy Nitrogen depletion Plant invasion Root nutrient acquisition strategy Symbiotic nitrogen fixation

山东平原M_(S)5.5地震前岩石圈磁场异常变化及发震机理

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大地测量与地球动力学 2024年第9期44卷 892-898,904页

作者：张海洋河北红山巨厚沉积与地震灾害国家野外科学观测研究站河北省邢台市054000 河北省地震局保定地震监测中心站河北省保定市071000

基于冀鲁交界地区2020~2023年连续4期的流动地磁观测资料,分析区域岩石圈磁场时空变化特征及其与2023-08-06山东平原M_(S)5.5地震的关系,并结合岩石磁学的实验室结果和断层亚失稳理论,探讨平原地震前的亚失稳特征及发震机理。结果表明:1... 详细信息

基于冀鲁交界地区2020~2023年连续4期的流动地磁观测资料,分析区域岩石圈磁场时空变化特征及其与2023-08-06山东平原M_(S)5.5地震的关系,并结合岩石磁学的实验室结果和断层亚失稳理论,探讨平原地震前的亚失稳特征及发震机理。结果表明:1)研究区岩石圈磁场时空变化特征在平原地震前有较为明显的异常反映,2020~2023年震中附近始终存在水平矢量的弱化区,并随着时间推移,出现水平矢量的弱化区逐渐向震中逼近的现象;震中附近始终存在地磁总强度、磁偏角、垂直分量的0值线。2)2020~2021年度震中附近各测点时序变化具有高度的一致性,较好地反映出测点附近断裂的协同化活动状态,或许可以作为识别断层进入亚失稳阶段的特征之一。3)分析应力与磁场强度的关系可知,林南断裂中东段、聊城-兰考断裂东北段地磁场总强度增大,地壳应力应处于释放状态;堂邑断裂、林南断裂西段地磁场总强度减小,地壳应力应处于积累状态。前者应力释放对后者的应力积累有促进作用,可能会导致后者的剪应力瞬时增加并超过其强度发生失稳,从而引发平原地震。

关键词：平原M_(S)5.5地震流动地磁岩石圈磁场异常变化亚失稳理论发震机理