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| 1 | Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model显示文摘Soil moisture content (SMC) is a key hydrological parameter in agriculture,meteorology and climate change,and understanding of spatio-temporal distributions of SMC in farmlands is important to address the precise irrigation scheduling.However,the hybrid interaction of static and dynamic environmental parameters makes it particularly difficult to accurately and reliably model the distribution of SMC.At present,deep learning wins numerous contests in machine learning and hence deep belief network (DBN) ,a breakthrough in deep learning is trained to extract the transition functions for the simulation of the cell state changes.In this study,we used a novel macroscopic cellular automata (MCA) model by combining DBN to predict the SMC over an irrigated corn field (an area of 22 km^2) in the Zhangye oasis,Northwest China.Static and dynamic environmental variables were prepared with regard to the complex hydrological processes.The widely used neural network,multi-layer perceptron (MLP) ,was utilized for comparison to DBN.The hybrid models (MLP-MCA and DBN-MCA) were calibrated and validated on SMC data within four months,i.e.June to September 2012,which were automatically observed by a wireless sensor network (WSN) .Compared with MLP-MCA,the DBN-MCA model led to a decrease in root mean squared error (RMSE) by 18%.Thus,the differences of prediction errors increased due to the propagating errors of variables,difficulties of knowing soil properties and recording irrigation amount in practice.The sequential Gaussian simulation (s Gs) was performed to assess the uncertainty of soil moisture estimations.Calculated with a threshold of SMC for each grid cell,the local uncertainty of simulated results in the post processing suggested that the probability of SMC less than 25% will be difference in different areas at different time periods.The current results showed that the DBN-MCA model performs better than the MLP-MCA model,and the DBN-MCA model provides a powerful tool for predicting SMC in highly non-linear forms.Moreover,because modeling soil moisture by using environmental variables is gaining increasing popularity,DBN techniques could contribute a lot to enhancing the calibration of MCA-based SMC estimations and hence provide an alternative approach for SMC monitoring in irrigation systems on the basis of canals. | SONG Xiaodong ZHANG Ganlin LIU Feng LI Decheng ZHAO Yuguo YANG Jinling | 2016 | Journal of Arid Land2016，8，5： | 20 |
| 2 | Regional Soil Mapping Using Multi-Grade Representative Sampling and a Fuzzy Membership-Based Mapping Approach显示文摘High-resolution and detailed regional soil spatial distribution information is increasingly needed for ecological modeling and land resource management. For areas with no point data, regional soil mapping includes two steps: soil sampling and soil mapping. Because sampling over a large area is costly, efficient sampling strategies are required. A multi-grade representative sampling strategy, which designs a small number of representative samples with different representative grades to depict soil spatial variations at different scales,could be a potentially efficient sampling strategy for regional soil mapping. Additionally, a suitable soil mapping approach is needed to map regional soil variations based on a small number of samples. In this study, the multi-grade representative sampling strategy was applied and a fuzzy membership-weighted soil mapping approach was developed to map soil sand percentage and soil organic carbon(SOC) at 0–20 and 20–40 cm depths in a study area of 5 900 km2 in Anhui Province of China. First, geographical sub-areas were delineated using a parent lithology data layer. Next, fuzzy c-means clustering was applied to two climate and four terrain variables in each stratum. The clustering results(environmental cluster chains) were used to locate representative samples. Evaluations based on an independent validation sample set showed that the addition of samples with lower representativeness generally led to a decrease of root mean square error(RMSE). The declining rates of RMSE with the addition of samples slowed down for 20–40 cm depth, but fluctuated for 0–20 cm depth. The predicted SOC maps based on the representative samples exhibited higher accuracy, especially for soil depth 20–40 cm, as compared to those based on legacy soil data. Multi-grade representative sampling could be an effective sampling strategy at a regional scale. This sampling strategy, combined with the fuzzy membership-based mapping approach, could be an optional effective framework for regional soil property mapping. A more detailed and accurate soil parent material map and the addition of environmental variables representing human activities would improve mapping accuracy. | YANG Lin A-Xing ZHU ZHAO Yuguo LI Decheng ZHANG Ganlin ZHANG Shujie Lawrence E. BAND | 2017 | Pedosphere2017，27，2： | 5 |
| 3 | Vertical distribution and storage of soil organic and inorganic carbon in a typical inland river basin,Northwest China显示文摘Knowledge of soil carbon(C) distribution and its relationship with the environment can improve our understanding of its biogeochemical cycling and help to establish sound regional models of C cycling. However, such knowledge is limited in environments with complex landscape configurations. In this study, we investigated the vertical distribution and storage of soil organic carbon(SOC) and soil inorganic carbon(SIC) in the 10 representative landscapes(alpine meadow, subalpine shrub and meadow, mountain grassland, mountain forest, typical steppe, desert steppe, Hexi Corridor oases cropland, Ruoshui River delta desert, Alxa Gobi desert, and sandy desert) with contrasting bioclimatic regimes in the Heihe River Basin, Northwest China. We also measured the 87 Sr/86 Sr ratio in soil carbonate to understand the sources of SIC because the ratio can be used as a proxy in calculating the contribution of pedogenic inorganic carbon(PIC) to total SIC. Our results showed that SOC contents generally decreased with increasing soil depth in all landscapes, while SIC contents exhibited more complicated variations along soil profiles in relation to pedogenic processes and parent materials at the various landscapes. There were significant differences of C stocks in the top meter among different landscapes, with SOC storage ranging from 0.82 kg C/m^2 in sandy desert to 50.48 kg C/m^2 in mountain forest and SIC storage ranging from 0.19 kg C/m^2 in alpine meadow to 21.91 kg C/m^2 in desert steppe. SIC contributed more than 75% of total C pool when SOC storage was lower than 10 kg C/m^2, and the proportion of PIC to SIC was greater than 70% as calculated from Sr isotopic ratio, suggesting the critical role of PIC in the C budget of this region. The considerable variations of SOC and SIC in different landscapes were attributed to different pedogenic environments resulted from contrasting climatic regimes, parent materials and vegetation types. This study provides an evidence for a general trade-off pattern between SOC and SIC, showing the compensatory effects of environmental conditions(especially climate) on SOC and SIC formation in these landscapes. This is largely attributed to the fact that the overall decrease in temperature and increase in precipitation from arid deserts to alpine mountains simultaneously facilitate the accumulation of SOC and depletion of SIC. | YANG Fan HUANG Laiming YANG Renmin YANG Fei LI Decheng ZHAO Yuguo YANG Jinling LIU Feng ZHANG Ganlin | 2018 | Journal of Arid Land2018，10，2： | 4 |
| 4 | naoe-FOAM-SJTU Solver for Numerical Study of Vortex-Induced Motions of a Buoyancy Can in Currents显示文摘这份报纸论述 3D (三维) CFD (计算液体动态) 特别分析 FIR (导致流动的反应) 的模拟快活的 yaw 运动能。数字盒子在利用我们的内部代码 naoe-FOAM-SJTU 的不同减少的速度下面与一个快活罐头被进行,一个解答者基于开放源代码工具箱 OpenFOAM。SST-DDES (砍压力推迟运输的分开旋涡的模拟) 模型被使用处理 flowseparation 并且搅乱格子方法被利用解决大振幅 6-DOF (自由的 6 度) 运动。免费腐烂测试和活力(导致旋涡的运动) 测试数字地被造。在活力情况中,轨道的回答,振幅,频率在一系列减少的速度被计算。随减少的速度的增加,偏航频率被增加,它是类似的澎湃并且摇晃频率。并且偏航频率等于摇摆频率,它与试验性的结果一致。而且,比较二个盒子,依次修理的盒子和另一个依次释放,在旋转罐头减少的度释放摇摆振幅,但是没在巨浪振幅有差别,这能被结束。 | XIE Kangdi ZHAO Weiwen WAN Decheng | 2017 | Journal of Shipping and Ocean Engineering2017，7，6： | 3 |
| 5 | Mapping Soil Texture Based on Field Soil Moisture Observations at a High Temporal Resolution in an Oasis Agricultural Area显示文摘Due to the almost homogeneous topography in low relief areas, it is usually difficult to make accurate predictions of soil properties using topographic covariates. In this study, we examined how time series of field soil moisture observations can be used to estimate soil texture in an oasis agricultural area with low relief in the semi-arid region of northwest China. Time series of field-observed soil moisture variations were recorded for 132 h beginning at the end of an irrigation event during which the surface soil was saturated.Spatial correlation between two time-adjacent soil moisture conditions was used to select the factors for fuzzy c-means clustering. In each of the ten generated clusters, soil texture of the soil sample with the maximum fuzzy membership value was taken as the cluster centroid. Finally, a linearly weighted average was used to predict soil texture from the centroids. The results showed that soil moisture increased with the increase of clay and silt contents, but decreased with the increase of sand content. The spatial patterns of soil moisture changed during the entire soil drying phase. We assumed that these changes were mainly caused by spatial heterogeneity of soil texture. A total of 64 independent samples were used to evaluate the prediction accuracy. The root mean square error(RMSE)values of clay, silt and sand were 1.63, 2.81 and 3.71, respectively. The mean relative error(RE) values were 9.57% for clay, 3.77% for silt and 12.83% for sand. It could be concluded that the method used in this study was effective for soil texture mapping in the low-relief oasis agricultural area and could be applicable in other similar irrigation agricultural areas. | YANG Renmin LIU Feng ZHANG Ganlin ZHAO Yuguo LI Decheng YANG Jinling YANG Fei YANG Fan | 2016 | Pedosphere2016，26，5： | 3 |
| 6 | Elementary Experiences,Problems and Countermeasures of County Forestry Economy显示文摘County forestry economy is a strong power for regional green economic development,and an important way to improve farmers' income and promote living environment in urban and rural areas. According to the investigation of ten typical counties or cities with forestry industrial advantage,this paper sums up the elementary experiences of county forestry economy,analyzes its prominent problems. Countermeasures are brought forward to improve the development of county forestry economy. | Shaozhi CHEN Baomin FAN Rong ZHAO Youjun HE Decheng ZHANG | 2013 | Asian Agricultural Research2013，5，3： | 2 |
| 7 | Mapping Soil Organic Carbon Stocks of Northeastern China Using Expert Knowledge and GIS-based Methods显示文摘The main aim of this paper was to calculate soil organic carbon stock(SOCS) with consideration of the pedogenetic horizons using expert knowledge and GIS-based methods in northeastern China.A novel prediction process was presented and was referred to as model-then-calculate with respect to the variable thicknesses of soil horizons(MCV).The model-then-calculate with fixed-thickness(MCF),soil profile statistics(SPS),pedological professional knowledge-based(PKB) and vegetation type-based(Veg) methods were carried out for comparison.With respect to the similar pedological information,nine common layers from topsoil to bedrock were grouped in the MCV.Validation results suggested that the MCV method generated better performance than the other methods considered.For the comparison of polygon based approaches,the Veg method generated better accuracy than both SPS and PKB,as limited soil data were incorporated.Additional prediction of the pedogenetic horizons within MCV benefitted the regional SOCS estimation and provided information for future soil classification and understanding of soil functions.The intermediate product,that is,horizon thickness maps were fluctuant enough and reflected many details in space.The linear mixed model indicated that mean annual air temperature(MAAT) was the most important predictor for the SOCS simulation.The minimal residual of the linear mixed models was achieved in the vegetation type-based model,whereas the maximal residual was fitted in the soil type-based model.About 95% of SOCS could be found in Argosols,Cambosols and Isohumosols.The largest SOCS was found in the croplands with vegetation of Triticum aestivum L.,Sorghum bicolor(L.) Moench,Glycine max(L.) Merr.,Zea mays L.and Setaria italica(L.) P.Beauv. | SONG Xiaodong LIU Feng JU Bing ZHI Junjun LI Decheng ZHAO Yuguo ZHANG Ganlin | 2017 | Chinese Geographical Science2017，27，4： | 2 |
| 8 | Expression Profile and Function Analysis of Long Non-coding RNAs in the Infection of Coxsackievirus B3显示文摘The roles of IncRNAs in the infection of enteroviruses have been barely demonstrated.In this study,we used coxsackievirus B3(CVB3),a typical enterovirus,as a model to investigate the expression profiles and functional roles of IncRNAs in enterovirus infection.We profiled IncRNAs and mRNA expression in CVB3-infected HeLa cells by IncRNA-mRNA integrated microarrays.As a result,700 differentially expressed IncRNAs(431 up-regulated and 269 down-regulated)and 665 differentially expressed mRNAs(299 up-regulated and 366 down-regulated)were identified in CVB3 infection.Then we performed IncRNA-mRNA integrated pathway analysis to identify potential functional impacts of the differentially expressed mRNAs,in which IncRNA-mRNA correlation network was built.According to IncRNA-mRNA correlation,we found that XLOC-001188,an IncRNA down-regulated in CVB3 infection,was negatively correlated with NFAT5 mRNA,an anti-CVB3 gene reported previously.This interaction was supported by qPCR detection following siRNA-mediated knockdown of XLOC-001188,which showed an increase of NFAT5 mRNA and a reduction of CVB3 genomic RNA.In addition,we observed that four most significantly altered IncRNAs,SNHG11,RP11-145F16.2,RP11-1023L17.1 and RP11-1021N1.2 share several common correlated genes critical for CVB3 infection,such as BRE and IRF2BP1.In all,our studies reveal the alteration of IncRNA expression in CVB3 infection and its potential influence on CVB3 replication,providing useful information for future studies of enterovirus infection. | Lei Tong Ye Qiu Hui Wang Yunyue Qu Yuanbo Zhao Lexun Lin Yan Wang Weizhen Xu Wenran Zhao Hongyan He Guangze Zhao Mary HZhang Decheng Yang Xingyi Ge Zhaohua Zhong | 2019 | Virologica Sinica2019，34，6： | 2 |
| 9 | I-Neat:An Intelligent Framework for Adaptive Virtual Machine Consolidation显示文摘With the increasing use of cloud computing,high energy consumption has become one of the major challenges in cloud data centers.Virtual Machine(VM)consolidation has been proven to be an efficient way to optimize energy consumption in data centers,and many research works have proposed to optimize VM consolidation.However,the performance of different algorithms is related with the characteristics of the workload and system status;some algorithms are suitable for Central Processing Unit(CPU)-intensive workload and some for web application workload.Therefore,an adaptive VM consolidation framework is necessary to fully explore the potential of these algorithms.Neat is an open-source dynamic VM consolidation framework,which is well integrated into OpenStack.However,it cannot conduct dynamic algorithm scheduling,and VM consolidation algorithms in Neat are few and basic,which results in low performance for energy saving and Service-Level Agreement(SLA)avoidance.In this paper,an Intelligent Neat framework(I-Neat)is proposed,which adds an intelligent scheduler using reinforcement learning and a framework manager to improve the usability of the system.The scheduler can select appropriate algorithms for the local manager from an algorithm library with many load detection algorithms.The algorithm library is designed based on a template,and in addition to the algorithms of Neat,I-Neat adds six new algorithms to the algorithm library.Furthermore,the framework manager helps users add self-defined algorithms to I-Neat without modifying the source code.Our experimental results indicate that the intelligent scheduler and these novel algorithms can effectively reduce energy consumption with SLA assurance. | Yanxin Liu Yao Zhao Jian Dong Lianpeng Li Chunpei Wang Decheng Zuo | 2022 | Tsinghua Science and Technology2022，27，1： | 2 |
| 10 | Mapping Soil Organic Carbon Using Local Terrain Attributes: AComparison of Different Polynomial Models显示文摘Local terrain attributes,which are derived directly from the digital elevation model,have been widely applied in digital soil mapping.This study aimed to evaluate the mapping accuracy of soil organic carbon(SOC) concentration in 2 zones of the Heihe River in China,by combining prediction methods with local terrain attributes derived from different polynomial models.The prediction accuracy was used as a benchmark for those who may be more concerned with how accurately the variability of soil properties is modeled in practice,rather than how morphometric variables and their geomorphologic interpretations are understood and calculated.In this study,2 neighborhood types(square and circular) and 6 representative algorithms(Evans-Young,Horn,Zevenbergen-Thorne,Shary,Shi,and Florinsky algorithms) were applied.In general,35 combinations of first-and second-order derivatives were produced as candidate predictors for soil mapping using two mapping methods(i.e.,kriging with an external drift and geographically weighted regression).The results showed that appropriate local terrain attribute algorithms could better capture the spatial variation of SOC concentration in a region where soil properties are strongly influenced by the topography.Among the different combinations of firstand second-order derivatives used,there was a best combination with a more accurate estimate.For different prediction methods,the relative improvement in the two zones varied between 0.30% and 9.68%.The SOC maps resulting from the higher-order algorithms(Zevenbergen-Thorne and Florinsky) yielded less interpolation errors.Therefore,it was concluded that the performance of predictive methods,which incorporated auxiliary variables,could be improved by attempting different terrain analysis algorithms. | SONG Xiaodong LIU Feng ZHANG Ganlin LI Decheng ZHAO Yuguo YANG Jinling | 2017 | Pedosphere2017，27，4： | 1 |
| 11 | The grain for green pro- ject induced land cover change in the Loess Plateau:A case study with Ansai county, Shanxi province, China 显示文摘 | Zhou Decheng Zhao Shuqing Zhu Chao | 2012 | Ecological Indica- tors2012，23，： | 1 |
| 12 | The grain for green project induced land cover chang in the Loess Plateau: a case study with Ansai County, Shanxi Province, China显示文摘 | ZHOU Decheng ZHAO Shuqing ZHU Chao | 2012 | Ecological Indicators2012，23，： | 1 |
| 13 | Design and optimization of an automatic hydraulic steer-by-wire system for an agricultural chassis显示文摘To meet the requirements of fast steering at low vehicle speed and slow steering at high vehicle speed,the automatic steering of agricultural chassis must control both the wheel steering angle and the steering angle’s angular speed.This study applied hydraulic steer-by-wire technology to the automatic steering control of agricultural chassis.First,the transmission mechanism of the designed steering system was optimized.According to the rule of least squares,aiming at the minimum sum of squares of errors between 10 ideal outer wheel angles and real outer wheel angles,the optimal solution of hole spacing on both sides of the steering hydraulic cylinder piston rod was 925 mm.The outer wheel angle error of the optimized steering mechanism throughout the steering stroke was less than 0.15°.Additionally,a hydraulic steer-by-wire system was developed,and the parameters of its critical components were calculated.Then,the compound control strategy of the steering cylinder piston rod displacement and moving speed was formulated for this automatic steering system.The entire control system included a valve control signal calculation model,an initial velocity calculation model,a correction velocity calculation model,and an attenuation velocity calculation model,and the formulae of each model were deduced.Based on the optimized parameters and the developed control strategy,a simulation model was built in AMESim,and simulation results showed that the proposed control strategy could achieve simultaneous controls of piston rod displacement and speed at different vehicle speeds and loads.The horizontal and vertical displacements of the right wheel center were plotted for typical vehicle speeds and steering commands.The results of this study provided a new idea for the application of hydraulic steer-by-wire technology in the automatic steering of agricultural chassis. | Yinhao Jin Yanwei Yuan Licheng Zhu Decheng Wang Bo Zhao Xianfa Fang | 2022 | International Journal of Agricultural and Biological Engineering2022，15，1： | 1 |
| 14 | The grain for green project induced land cover change in the Loess Plat- eau: a ease study with Ansai County, Shaanxi Province, China显示文摘 | Zhou Decheng Zhao Shuqing Zhu Chao | 2012 | Ecological Indicators2012，23，4： | 1 |
| 15 | Porous Co_(2)VO_(4) Nanodisk as a High-Energy and Fast-Charging Anode for Lithium-Ion Batteries显示文摘High-energy–density lithium-ion batteries(LIBs)that can be safely fast-charged are desirable for electric vehicles.However,sub-optimal lithiation potential and low capacity of commonly used LIBs anode cause safety issues and low energy density.Here we hypothesize that a cobalt vanadate oxide,Co_(2)VO_(4),can be attractive anode material for fast-charging LIBs due to its high capacity(~1000 mAh g^(−1))and safe lithiation potential(~0.65 V vs.Li^(+)/Li).The Li+diffusion coefficient of Co2VO4 is evaluated by theoretical calculation to be as high as 3.15×10^(-10) cm^(2) s^(−1),proving Co_(2)VO_(4) a promising anode in fast-charging LIBs.A hexagonal porous Co2VO4 nanodisk(PCVO ND)structure is designed accordingly,featuring a high specific surface area of 74.57 m^(2) g^(−1) and numerous pores with a pore size of 14 nm.This unique structure succeeds in enhancing Li^(+) and electron transfer,leading to superior fast-charging performance than current commercial anodes.As a result,the PCVO ND shows a high initial reversible capacity of 911.0 mAh g^(−1) at 0.4 C,excellent fast-charging capacity(344.3 mAh g^(−1) at 10 C for 1000 cycles),outstanding long-term cycling stability(only 0.024% capacity loss per cycle at 10 C for 1000 cycles),confirming the commercial feasibility of PCVO ND in fast-charging LIBs. | Jinghui Ren Zhenyu Wang Peng Xu Cong Wang Fei Gao Decheng Zhao Shupei Liu Han Yang Di Wang Chunming Niu Yusong Zhu Yutong Wu Xiang Liu Zhoulu Wang Yi Zhang | 2022 | Nano-Micro Letters2022，14，1： | 1 |
| 16 | Practicing Participatory Teaching Methodology in Western China's Rural Areas: Classroom Teaching Observations and Analysis 显示文摘 | Decheng Zhao Fujian Zhu and Jun Liu | 2008 | Chinese Education and Society2008，41，5： | 1 |
| 17 | Enhanced classification based on probabilistic extreme learning mache in wastewater treatment process 显示文摘 | Zhao Lijie Diao Xiaokun Yuan Decheng Tang Wei | 2011 | Proeedia Engineering2011，15，1： | 1 |
| 18 | Iron loss of paddy soil in China and its environmental implications显示文摘Iron(Fe)is an important element for the terrestrial and marine ecosystems through its biogeochemical cycling on the Earth’s surface.China has a long rice cultivation history,with extensive rice distribution across many types of paddy soils.Paddy soils are the largest anthropogenic wetlands on earth with critical roles in ecosystem functions.The periodic artificial submergence and drainage during paddy soil evolution result in significant changes in soil moisture regime and redox conditions from the natural soils,which facilitate the increase of Fe solubility and mobilization.However,there is a lack of systematic assessment on the magnitude of the migration and loss amount of Fe from paddy soils.In order to quantify the Fe loss and assess the dynamic evolution of Fe in the soils after rice cultivation,seven paddy soil chronosequences derived from different landscapes(bog,plain,terrace)and parent materials(acidic,neutral,calcareous)with cultivation history from 0 to 2,000 yr were studied.Results showed that the rates and trajectories of Fe evolution showed distinct patterns among the studied seven paddy soil chronosequences.However,net losses of Fe from 1 m soil depth occurred at all studied paddy soil chronosequences regardless of the original landscapes and parent materials.Fe in the paddy soils derived from the calcareous lacustrine sediments in the bog area showed a slight accumulation during the initial stage(50 yr)of paddy cultivation,with a loss rate of0.026 kg m^(-2)yr^(-1) during the 50-to 500-yr time period.For the paddy soils developed on the calcareous marine sediments in the plain area,Fe evolution was dominated by the internal movement in soil profiles through coupled reducing-eluviation reactions in the surface horizons and oxidation-illuviation in the subsurface horizons within 1,000 yr of paddy cultivation,with an averaged net loss rate of 0.029 kg m^(-2)yr^(-1) during the 1,000-to 2,000-yr time period of rice cultivation.In contrast,Fe in the paddy soils derived from the acidic and neutral parent materials in the plain and terraced upland areas was rapidly lost during the initial stage of paddy cultivation,with a maximum loss rate of 1.106 kg m^(-2)yr^(-1),while the Fe loss rate decreased gradually with increasing paddy cultivation age.Soil pH,CaCO_(3),and organic matter contents of the original soils,the length of time of paddy cultivation,landscape types and positions,and changes in soil moisture regime and redox condition induced by artificial submergence and drainage were the main factors controlling the rates and trajectories of Fe loss during paddy soils evolution.The amount of Fe loss caused by rice cultivation at the national scale was estimated based on the data collected from this study and the literature.The Fe loss fluxes of paddy soils in China were about 46.4–195.7 Tg yr^(-1),and the amounts of Fe losses from paddy fields nationwide were about 5,121.5–9,412.2 Tg.Quantifying Fe loss from paddy fields is important to scientifically assess the impact of paddy cultivation on the Fe biogeochemical cycle. | Liumei CHEN Dongbo ZHAO Guangzhong HAN Fei YANG Zitong GONG Xiaodong SONG Decheng LI Ganlin ZHANG | 2022 | Science China Earth Sciences2022，65，7： | 1 |
| 19 | The Grain for Green Project induced land cover change in the Loess Plateau:a case study with Ansai County,Shanxi Province,China显示文摘 | Zhou Decheng Zhao Shuqing Zhu Chao | 2012 | Ecological Indicators2012，，23： | 1 |
| 20 | Protective effect of resveratrol on rat cardiomyocyte H9C2 cells injured by hypoxia/reoxygenation by regulating mitochondrial autophagy via PTEN-induced putative kinase protein 1/Parkinson disease protein 2 signaling pathway显示文摘OBJECTIVE:To investigate the protective effect of resveratrol on cardiomyocytes after hypoxia/reoxygenation intervention based on PTEN-induced putative kinase protein 1/Parkinson disease protein 2(PINK1/PARKIN)signaling pathway.METHODS:3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide was used to detect the effect of resveratrol on the viability of H9C2 cells;the hypoxia/reoxygenation(H/R)model was established in tri-gas incubator;2’,7’-Dichlorofluorescin diacetate staining was used to measure the content of reactive oxygen species(ROS);the changes of mitochondrial membrane potential was determined by 5,5’,6,6’-Tetrachloro-1,1’,3,3’-tetraethyl-imidacarbocyanine iodide staining;the changes of mitochondrial respiratory chain complex activity was evaluated by enzyme activity kits;flow cytometry was used to detect the ratio of apoptotic cells;transmission electron microscope was used to observe the ultrastructure of H9C2 cells;Western blot was used to detect the protein changes of mitochondrial 20 k Da outer membrane protein(TOM20),translocase of inner mitochondrial membrane 23(TIM23),presenilins associated rhomboid-like protein(PARL),PINK1,PARKIN and mitofusin 1(Mfn1),mitofusin 2(Mfn2),phosphotyrosine independent ligand for the Lck SH2 domain of 62 k Da(P62),microtubule-associated protein 1 light chain 3 beta(LC3B);the m RNA levels of PINK1 and PARKIN was detected by quantitative polymerase chain reaction;immunoprecipitation assay was used to detect the interaction between PARKIN and Ubiquitin.RESULTS:Resveratrol could inhibit the proliferation of H9C2 cells in a time-and concentration-dependent manner;however,pretreatment with low cytotoxic resveratrol could reduce the H/R-induced increase in cellular ROS levels,alleviate the loss of mitochondrial membrane potential induced by H/R,inhibit H/R-induced apoptosis of H9C2 cells,and protect the mitochondrial structure and respiratory chain of H9C2 cells from H/R damage.Resveratrol could further increase the levels of p62,PINK1,PARKIN protein,the expression of PINK1,PARKIN m RNA and the ratio of LC3BⅡ/LC3BⅠin H/Rinduced H9C2 cells,inhibit the interaction between PARKIN and Ubiquitin in H/R-induced H9C2 cells,and further reduce the expression of TOM20,TIM23,PARL,Mfn1 and Mfn2 protein in H/R-induced H9C2 cells.The effect of resveratrol is consistent with that of autophagy activator on H/R-induced H9C2 cells.CONCLUSIONS:Resveratrol can protect H9C2 cells from H/R injury,which may be related to resveratrol promoting mitochondrial autophagy by activating PINK1/PARKIN signaling pathway. | ZHAO Lixia SUN Wei BAI Decheng | 2022 | Journal of Traditional Chinese Medicine2022，42，2： | 1 |
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