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| 1 | Blocking FSH inhibits hepatic cholesterol biosynthesis and reduces serum cholesterol显示文摘Menopause is associated with dyslipidemia and an increased risk of cardio-cerebrovascular disease.The classic view assumes that the underlying mechanism of dyslipidemia is attributed to an insufficiency of estrogen.In addition to a decrease in estrogen, circulating follicle-stimulating hormone (FSH)levels become elevated at menopause.In this study,we find that blocking FSH reduces serum cholesterol via inhibiting hepatic cholesterol biosynthesis.First,epidemiological results show that the serum FSH levels are positively correlated with the serum total cholesterol levels,even after adjustment by considering the effects of serum estrogen,in addition,the prevalence of hypercholesterolemia is significantly higher in peri-menopausal women than that in premenopausal women.Furthermore,we generated a mouse model of FSH elevation by intraperitoneally injecting exogenous FSH into ovariectomized (OVX)mice,in which a normal level of estrogen (E2)was maintained by exogenous supplementation. Consistently,the results indicate that FSH,independent of estrogen,increases the serum cholesterol level in this mouse model. Moreover,blocking FSH signaling by anti-FSHβ antibody or ablating the FSH receptor (FSHR)gene could effectively prevent hypercholesterolemia induced by FSH injection or high-cholesterol diet feeding.Mechanistically,FSH,via binding to hepatic FSHRs, activates the Gi2α/β-arrestin-2/Akt pathway and subsequently inhibits the binding of FoxO1 with the SREBP-2 promoter,thus preventing FoxO1 from repressing SREBP-2 gene transcription.This effect,in turn,results in the upregulation of SREBP-2,which drives HMGCR nascent transcription and de novo cholesterol biosynthesis,leading to the increase of cholesterol accumulation.This study uncovers that blocking FSH signaling might be a new strategy for treating hypercholesterolemia during menopause, particularly for women in peri-menopause characterized by FSH elevation only. | Yanjing Guo Meng Zhao Tao Bo Shizhan Ma Zhongshang Yuan Wenbin Chen Zhao He Xu Hou Jun Liu Zhenhai Zhang Qiang Zhu Qiangxiu Wang Xiaoyan Lin Zhongli Yang Min Cui Lu Liu Yujie Li Chunxiao Yu Xiaoyi Qi Qian Wang Haiqing Zhang Qingbo Guan Lifang Zhao Shimeng Xuan Huili Yan Yanliang Lin Li Wang Qihang Li Yongfeng Song Ling Gao Jiajun Zhao | 2019 | Cell Research2019，29，2： | 16 |
| 2 | An energy efficiency clustering routing protocol for WSNs in confined area显示文摘Wireless sensor networks (WSNs) are important application for safety monitoring in underground coal mines, which are difficult to monitor due to natural conditions. Based on the characteristic of limited energy for WSNs in confined underground area such as coal face and laneway, we presents an energy- efficient clustering routing protocol based on weight (ECRPW) to prolong the lifetime of networks. ECRPW takes into consideration the nodes' residual energy during the election process of cluster heads. The constraint of distance threshold is used to optimize cluster scheme. Furthermore, the protocol also sets up a routing tree based on cluster heads' weight. The results show that ECRPW had better perfor- mance in energy consumption, death ratio of node and network lifetime. | Sun Yanjing He Yanjun Zhang Beibei Liu Xue | 2011 | Mining Science and Technology2011，21，6： | 9 |
| 3 | Highly stretchable polymer/silver nanowires composite sensor for human health monitoring显示文摘Flexible strain sensors exhibit outstanding advantages in terms of sensitivity and stability by detecting changes in physical signals.It can be easily attached to human skin and clothed to achieve monitoring of human motion and health.However,general sensing material shows low stretchability and cannot respond to signals under large deformation.In this work,a highly stretchable polymer composite was developed by adding small amount(0.17 wt.%)of silver nanowires(AgNWs)in stretchable conductive polymer materials.The conductivity of polymer/AgNWs composite is 1.3 S/m with the stretchability up to 500%.The stretchable strain sensor based on the polymer/AgNWs composite can respond to strain signals in real time,even for 1%strain response,and shows excellent stability over 1,000 loading/unloading cycles.Moreover,the strain sensor can be attached to human skin and clothed to monitor joints,throat and pulse of the human body.The human body electrocardiogram(ECG)signal was detected successfully with the polymer/AgNWs electrode,which is comparable to the signal obtained by the commercial electrode.Overall,the sensors enable monitoring of human movement and health.These advantages make it a potential application in wearable devices and electronic skin. | Yanjing Zhang Pei He Meng Luo Xiaowen Xu Guozhang Dai Junliang Yang | 2020 | Nano Research2020，13，4： | 7 |
| 4 | An infrastructure with user-centered presentation data model for integrated management of materials data and services显示文摘With scientific research in materials science becoming more data intensive and collaborative after the announcement of the Materials Genome Initiative,the need for modern data infrastructures that facilitate the sharing of materials data and analysis tools is compelling in the materials community.In this paper,we describe the challenges of developing such infrastructure and introduce an emerging architecture with high usability.We call this architecture the Materials Genome Engineering Databases(MGED).MGED provides cloud-hosted services with features to simplify the process of collecting datasets from diverse data providers,unify data representation forms with user-centered presentation data model,and accelerate data discovery with advanced search capabilities.MGED also provides a standard service management framework to enable finding and sharing of tools for analyzing and processing data.We describe MGED’s design,current status,and how MGED supports integrated management of shared data and services. | Shilong Liu Yanjing Su Haiqing Yin Dawei Zhang Jie He Haiyou Huang Xue Jiang Xuan Wang Haiyan Gong Zhuang Li Hao Xiu Jiawang Wan Xiaotong Zhang | 2021 | npj Computational Materials2021，，1： | 4 |
| 5 | Characterization of a Phenazine-Producing Strain Pseudomonas chlororaphis GP72 with Broad-Spectrum Antifungal Activity from Green Pepper Rhizosphere显示文摘 | Haiming Liu Yanjing He Haixia Jiang Huasong Peng Xianqing Huang Xuehong Zhang Linda S. Thomashow Yuquan Xu | 2007 | Current Microbiology2007，，4： | 1 |
| 6 | Combining radiation with autophagy inhibition enhances suppression oftumor growth and angiogenesis in esophageal cancer显示文摘 | Yongshun Chen Xiaohong Li Leiming Guo Xiaoyuan Wu Chunyu He Song Zhang Yanjing Xiao Yuanyuan Yang Daxuan Hao | 2015 | Molecular Medicine Reports2015，，： | 1 |
| 7 | Molecular level understanding of CO_(2) capture in ionic liquid/polyimide composite membrane显示文摘Ionic liquid(IL)/polyimide(PI)composite membranes demonstrate promise for use in CO_(2)separation applications.However,few studies have focused on the microscopic mechanism of CO_(2)in these composite systems,which is important information for designing new membranes.In this work,a series of systems of CO_(2)in 1-butyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide composited with 4,4-(hexafluoroisopropylidene)diphthalic anhydride(6FDA)-based PI,6FDA-2,3,5,6-tetramethyl-1,4-phenylene-diamine,at different IL concentrations were investigated by all-atom molecular dynamics simulation.The formation of IL regions in PI was found,and the IL regions gradually became continuous channels with increasing IL concentrations.The analysis of the radial distribution functions and hydrogen bond numbers demonstrated that PI had a stronger interaction with cations than anions.However,the hydrogen bonds among PI chains were destroyed by the addition of IL,which was favorable for transporting CO_(2).Furthermore,the self-diffusion coefficient and free energy barrier suggested that the diffusion coefficient of CO_(2)decreased with increasing IL concentrations up to 35 wt-%due to the decrease of the fractional free volume of the composite membrane.However,the CO_(2)selfdiffusion coefficients increased when the IL contents were higher than 35 wt-%,which was attributed to the formation of continuous IL domain that benefitted the transportation of CO_(2). | Linlin You Yandong Guo Yanjing He Feng Huo Shaojuan Zeng Chunshan Li Xiangping Zhang Xiaochun Zhang | 2022 | Frontiers of Chemical Science and Engineering2022，16，2： | 1 |
| 8 | Characterization of a Phenazine-Producing Strain Pseudomonas chlororaphis GP72 with Broad-Spectrum Antifungal Activity from Green Pepper Rhizosphere显示文摘 | Haiming Liu Yanjing He Haixia Jiang Huasong Peng Xianqing Huang Xuehong Zhang Linda S. Thomashow Yuquan Xu | 2007 | Current Microbiology2007，，4： | 1 |
| 9 | Expression of an Arabidopsis vacuolar sodium /proton antiporter gene in cotton improves photosynthetic performance under salt conditions and increases fiber yield in the field显示文摘 | He C X YanJ Q Shen G X etal | 2005 | Plant Cell Physiology2005，46，： | 1 |
| 10 | Layer-by-layer assembled multilayer films of reduced graphene oxide/gold nanoparticles for the electrochemical detection of dopamine显示文摘 | Liu S YanJ He G W | 2012 | Journal of Electroanalytical Chemistry2012，672，： | 1 |
| 11 | Investigation on propagation process of electrically induced fatigue cracking using AFM显示文摘Propagation process of electrically induced fatigue cracking in BaTiO3 single crystal has been studied using atomic force microscope (AFM). The results show that alternating electric field generates a random domain switch-ing around indentation cracks instead of a cyclic domain switching and an arrest indentation crack can be re-initiated by applying either positive or negative alternating electric field. | WANG Fang SU Yanjing HE Jianying QIAO Lijie CHU Wuyang | 2005 | Chinese Science Bulletin2005，50，19： | 1 |
| 12 | Predicting of Covalent Organic Frameworks for Membrane-based Isobutene/1,3-Butadiene Separation:Combining Molecular Simulation and Machine Learning显示文摘Efficient separation of C4 olefins is of critical importance and a challenging task in petrochemical industry. Covalent organic frameworks(COFs) could be used as promising candidates for membrane-based isobutene/1,3-butadiene(i-C4H8/C4H6) separation. Owing to large amounts of COFs appearing, however, the rapid prediction of optimal COFs is imperative before experimental efforts. In this work, we combine molecular simulation and machine learning to study COF membranes for efficient isolation of i-C4H8 over C4H6. Using molecular simulation, four potential COF membranes, which possess both high membrane performance score (MPS) value and moderate membrane selectivity were screened out and the mechanism of membrane separation further revealed is an adsorption dominated process. Further, random forest(RF) model with high prediction accuracy(R2>0.84) was obtained and used for elucidating key factors in controlling the membrane selectivity and i-C4H8 permeability. Ultimately, the optimal COF features were obtained through structure-performance relationship study. Our results may trigger experimental efforts to accelerate the design of novel COFs with better i-C4H8/C4H6separation performance. | CAO Xiaohao HE Yanjing ZHANG Zhengqing SUN Yuxiu HAN Qi GUO Yandong ZHONG Chongli | 2022 | Chemical Research in Chinese Universities2022，38，2： | 0 |
| 13 | Evaluation of sweet spots and horizontal-well-design technology for shale gas in the basin-margin transition zone of southeastern Chongqing,SW China显示文摘The shale gas accumulation conditions in the basin-margin transition zone of southeastern Chongqing in SW China are complex.In order to improve single-well productivity in this area,the geologic characteristics,major factors controlling the occurrence of sweet spots,and drilling/fracturing optimization were investigated in this study.The sweet spot evaluation system and criteria were established,and the horizontal-well-design technology was developed.The following three conclusions were drawn.First,the accumulation and high-productivity-oriented approaches for sweet spot evaluation are proposed and the criteria are established based on screened key indicators.Second,the horizontal well was designed based on:(1)the“six-map”method,to identify both the geology and engineering sweet spots for well locations;and(2)seismic attributes,to predict the development of fractures and cavities,and thus,avoid mud loss and improve the drilling efficiency.The target window,well-azimuth optimization,and the curvature were forecasted to improve the fracturing performances.Third,the Pingqiao anticline,Dongsheng anticline,Jinfo slope,and Wulong syncline were selected as Type I sweet spots.Currently,shale gas has been successfully discovered in the basin-margin transition zone and is being commercially developed. | Xipeng He Peixian Zhang Guisong He Yuqiao Gao Ming Liu Yong Zhang Dazhi Fang Yanjing Li | 2020 | Energy Geoscience2020，1，3： | 0 |
| 14 | Machine learning assisted prediction of dielectric temperature spectrum of ferroelectrics显示文摘In material science and engineering,obtaining a spectrum from a measurement is often time-consuming and its accurate prediction using data mining can also be difficult.In this work,we propose a machine learning strategy based on a deep neural network model to accurately predict the dielectric temperature spectrum for a typical multi-component ferroelectric system,i.e.,(Ba_(1−x−y)Ca_(x)Sr_(y))(Ti_(1−u−v−w)Zr_(u)Sn_(v)Hf_(w))O_(3).The deep neural network model uses physical features as inputs and directly outputs the full spectrum,in addition to yielding the octahedral factor,Matyonov–Batsanov electronegativity,ratio of valence electron to nuclear charge,and core electron distance(Schubert)as four key descriptors.Owing to the physically meaningful features,our model exhibits better performance and generalization ability in the broader composition space of BaTiO3-based solid solutions.And the prediction accuracy is superior to traditional machine learning models that predict dielectric permittivity values at each temperature.Furthermore,the transition temperature and the degree of dispersion of the ferroelectric phase transition are easily extracted from the predicted spectra to provide richer physical information.The prediction is also experimentally validated by typical samples of(Ba_(0.85)Ca_(0.15))(Ti_(0.98–x)Zr_(x)Hf_(0.02))O_(3).This work provides insights for accelerating spectra predictions and extracting ferroelectric phase transition information. | Jingjin He Changxin Wang Junjie Li Chuanbao Liu Dezhen Xue Jiangli Cao Yanjing Su Lijie Qiao Turab Lookman Yang Bai | 2023 | Journal of Advanced Ceramics2023，12，9： | 0 |
| 15 | EVs-mediated delivery of CB2 receptor agonist for Alzheimer’s disease therapy显示文摘Alzheimer’s disease(AD)is a typical neurodegenerative disease that leads to irreversible neuronal degeneration,and effective treatment remains elusive due to the unclear mechanism.We utilized biocompatible mesenchymal stem cell-derived extracellular vesicles as carriers loaded with the CB2 target medicine AM1241(EVs-AM1241)to protect against neurodegenerative progression and neuronal function in AD model mice.According to the results,EVs-AM1241 were successfully constructed and exhibited better bioavailability and therapeutic effects than bare AM1241.The Morris water maze(MWM)and fear conditioning tests revealed that the learning and memory of EVs-AM1241-treated model mice were significantly improved.In vivo electrophysiological recording of CA1 neurons indicated enhanced response to an auditory conditioned stimulus following fear learning.Immunostaining and Western blot analysis showed that amyloid plaque deposition and amyloidβ(Aβ)-induced neuronal apoptosis were significantly suppressed by EVs-AM1241.Moreover,EVs-AM1241 increased the number of neurons and restored the neuronal cytoskeleton,indicating that they enhanced neuronal regeneration.RNA sequencing revealed that EVs-AM1241 facilitated Aβphagocytosis,promoted neurogenesis and ultimately improved learning and memory through the calcium-Erk signaling pathway.Our study showed that EVs-AM1241 efficiently reversed neurodegenerative pathology and enhanced neurogenesis in modelmice,indicating that they are very promising particles for treating AD. | Yanjing Zhu Ruiqi Huang Deheng Wang Liqun Yu Yuchen Liu Runzhi Huang Shuai Yin Xiaolie He Bairu Chen Zhibo Liu Liming Cheng Rongrong Zhu | 2023 | Asian Journal of Pharmaceutical Sciences2023，18，4： | 0 |
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