|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Aspirin alleviates endothelial gap junction dysfunction through inhibition of NLRP3inflammasome activation in LPS-induced vascular injury显示文摘The loss of endothelial connective integrity and endothelial barrier dysfunction can lead to increased vascular injury, which is related to the activation of endothelial inflammasomes. There are evidences that low concentrations of aspirin can effectively prevent cardiovascular diseases. We hypothesized that low-dose aspirin could ameliorate endothelial injury by inhibiting the activation of NLRP3 inflammasomes and ultimately prevent cardiovascular diseases. Microvascular endothelial cells were stimulated by lipopolysaccharide(2 μg/mL) and administrated by 0.1–2 mmol/L aspirin. The wild type mice were stimulated with LPS(100 μg/kg/day), and 1 h later treated with aspirin(12.5, 62.5, or125 mg/kg/day) and dexamethasone(0.0182 mg/kg/day) for 7 days. Plasma and heart were harvested for measurement of ELISA and immunofluorescence analyses. We found that aspirin could inhibit NLRP3 inflammasome formation and activation in vitro in dose-dependent manner and has correlation between the NLRP3 inflammasome and the ROS/TXNIP pathway. We also found that low-concentration aspirin could inhibit the formation and activation of NLRP3 inflammasome and restore the expression of theendothelial tight junction protein zonula occludens-1/2(ZO1/2). We assume that aspirin can ameliorate the endothelial layer dysfunction by suppressing the activation of NLRP3 inflammasome. | Xing Zhou Yanjiao Wu Lifeng Ye Yunting Wang Kaimin Zhang Lingjun Wang Yi Huang Lei Wang Shaoxiang Xian Yang Zhang Yang Chen | 2019 | Acta Pharmaceutica Sinica B2019，9，4： | 13 |
| 2 | Constructing bifunctional Co/MoC@N-C catalyst via an in-situ encapsulation strategy for efficient oxygen electrocatalysis显示文摘The large-scale application of Zn-air battery requires the development of efficient,low-cost,and stable bifunctional electrocatalysts for the oxygen evolution reaction(OER)and oxygen reduction reaction(ORR).Herein,an electrocatalyst of a Co/Mo C-nanoparticles embedded N-doped carbon(Co/Mo C@N-C)was prepared via the in-situ encapsulation of Co_(2)(CO)_(8)and Mo(CO)6 in ZIF-8 using ball-milling,followed by pyrolysis under an Ar atmosphere.When used as a bifunctional electrocatalyst,the as-prepared Co/Mo C@N-C showed an ORR half-wave potential of 0.824 V in an alkaline medium and an overpotential of only 290 m V for the OER at 10 m A cm^(-2),which was 70 m V lower than Ru O_(2).The Co/Mo C@N-C was also evaluated as a cathode in a solid-state Zn-air battery and delivered a higher peak discharge power density and better cycling stability(over 1600 min)than Pt/C-Ru O_(2).Most importantly,our work provides a new strategy to prepare bifunctional catalysts and promotes their applications in the energy conversion field. | Hui Huang Lingjun Kong Ming Liu Jie He Wei Shuang Yunhua Xu Xian-He Bu | 2021 | Journal of Energy Chemistry2021，30，8： | 1 |
| 3 | Controlled synthesis of core-shell Fe_(2)O_(3)@N-C with ultralong cycle life for lithium-ion batteries显示文摘Development of low-cost electrode materials with long cycle life and high volumetric capacity is im-portant for large-scale applications of lithium-ion batteries(LIBs).Here,an electrode made from Fe_(2)O_(3) encapsulated with N-doped carbon(Fe_(2)O_(3)@N-C)via ZIF-8 coating and carbonization process is reported.A cavity was generated between the Fe_(2)O_(3)and N-C material during the carbonization process that is conducive to alleviating the volume expansion of Fe_(2)O_(3).As a result,the Fe_(2)O_(3)@N-C composite exhibits a high specific capacity(1064 mAh/g at 0.1 A/g)and cycle stability(803.6 mAh/g at 1.0 A/g after 1100 cycles)when used as the LIB anode.In addition,the influence of carbonization under air on the LIB per-formance was investigated by controllably changing the crystal phase of Fe_(2)O_(3)and the thickness of the carbon layer.This work provides a new method for the design and fabrication of yolk-shell composite electrodes for LIBs and other applications. | Hui Huang Lingjun Kong Wei Shuang Wei Xu Jie He Xian-He Bu | 2022 | Chinese Chemical Letters2022，33，2： | 1 |
| 4 | LLR calculation for LDPC coded SCBT in 60 GHz WPAN显示文摘The single-carrier block transmission(SCBT),a.k.a.,single-carrier frequency-domain equalization(SC-FDE),is being considered as an option technique for the wireless personal area network(WPAN) operating at 60 GHz.It is found that for residential environment,in non-line-of-sight(NLOS) multi-path channels,the SCBT is much more effective to combat the inter-symbol interference(ISI) compared with orthogonal frequency division multiplexing(OFDM).Low-density parity-check(LDPC) codes are a class of linear block codes which provide near capacity performance on a large collection of data transmission and storage channels while simultaneously admitting implementable decoders.To facilitate using LDPC codes for SCBT system,a new log-likelihood ratio(LLR) calculation method is proposed based on pilot symbols(PS).Golay Sequences whose sum autocorrelation has a unique peak and zero sidelobe are used for creating the PS.The position and length of the PS are not fixed in the data blocks.The simulation results show that the proposed method can significantly improve the LDPC decoding performance in SCBT system.This is very promising to support ultra high-data-rate wireless transmission. | Lingjun Kong Yang Xiao Ming Lei Ye Huang | 2010 | Journal of Systems Engineering and Electronics2010，21，5： | 0 |
| 5 | 在体细胞重编程早期瞬时激活的线粒体炫对Nanog的调控显示文摘体细胞重编程的各种机理已经有很多的报道,但是线粒体信号的不同信号和功能还不清楚。 | Zhongfu Ying Keshi Chen Lingjun Zheng Yi Wu Linpeng Li Rui Wang Qi Long Liang Yang Jingyi Guo Deyang Yao Yong Li Feixiang Bao Ge Xiang Jinglei Liu Qiaoying Huang Zhiming Wu Andrew Paul Hutchins Duanqing Pei 刘兴国 | 2017 | 科学新闻2017，19，4： | 0 |
| 6 | Metal-organic frameworks and their composites for advanced lithium-ion batteries:Synthesis,progress and prospects显示文摘Metal-organic frameworks(MOFs)are among the most promising materials for lithium-ion batteries(LIBs)owing to their high surface area,periodic porosity,adjustable pore size,and controllable chemical composition.For instance,their unique porous structures promote electrolyte penetration,ions transport,and make them ideal for battery separators.Regulating the chemical composition of MOF can introduce more active sites for electrochemical reactions.Therefore,MOFs and their related composites have been extensively and thoroughly explored for LIBs.However,the reported reviews solely include the applications of MOFs in the electrode materials of LIBs and rarely involve other aspects.A systematic review of the application of MOFs in LIBs is essential for understanding the mechanism of MOFs and better designing related MOFs battery materials.This review systematically evaluates the latest developments in pristine MOFs and MOF composites for LIB applications,including MOFs as the main materials(anode,cathode,separators,and electrolytes)to auxiliary materials(coating layers and additives for electrodes).Furthermore,the synthesis,modification methods,challenges,and prospects for the application of MOFs in LIBs are discussed. | Chengcai Liu Borong Wu Tao Liu Yuanxing Zhang Jingwen Cui Lingjun Huang Guoqiang Tan Ling Zhang Yuefeng Su Feng Wu | 2024 | Journal of Energy Chemistry2024，89，2： | 0 |
| 7 | Establishment and Evaluation of a Prediction Model of BLR for Severity in Coronavirus Disease 2019显示文摘Background:Coronavirus disease 2019(COVID-19)is an emerging infectious disease and has spread worldwide.Clinical risk factors associated with the severity in COVID-19 patients have not yet been well delineated.The aim of this study was to explore the risk factors related with the progression of severe COVID-19 and establish a prediction model for severity in COVID-19 patients.Methods:We retrospectively recruited patients with confirmed COVID-19 admitted in Enze Hospital,Taizhou Enze Medical Center(Group)and Nanjing Drum Tower Hospital between January 24 and March 12,2020.Take the Taizhou cohort as the training set and the Nanjing cohort as the validation set.Severe case was defined based on the World Health Organization Interim Guidance Report criteria for severe pneumonia.The patients were divided into severe and non-severe groups.Epidemiological,laboratory,clinical,and imaging data were recorded with data collection forms from the electronic medical record.The predictive model of severe COVID-19 was constructed,and the efficacy of the predictive model in predicting the risk of severe COVID-19 was analyzed by the receiver operating characteristic curve(ROC).Results:A total of 402 COVID-19 patients were included in the study,including 98 patients in the training set(Nanjing cohort)and 304 patients in the validation set(Nanjing cohort).There were 54 cases(13.43%)in severe group and 348 cases(86.57%)in nonsevere group.Logistic regression analysis showed that bodymassindex(BMI)and lymphocyte count wereindependent risk factors for severe COVID-19(all P<0.05).Logistic regression equation based on risk factors was established as follows:Logit(BL)=–5.552–5.473L+0.418BMI.The area under the ROC curve(AUC)of the training set and the validation set were 0.928 and 0.848,respectively(allP<0.001).The model was simplified to get a new model(BMI and lymphocyte count ratio,BLR)for predicting severe COVID-19 patients,and the AUC in the training set and validation set were 0.926 and 0.828,respectively(all P<0.001).Conclusions:Higher BMI and lower lymphocyte count are critical factors associated with severity of COVID-19 patients.The simplified BLR model has a good predictive value for the severe COVID-19 patients.Metabolic factors involved in the development of COVID-19 need to be further investigated. | Zebao He Fajuan Rui Hongli Yang Zhengming Ge Rui Huang Lingjun Ying Haihong Zhao Chao Wu Jie Li | 2022 | Infectious Diseases & Immunity2022，2，2： | 0 |
| 8 | Machine learning accelerated carbon neutrality research using big data-from predictive models to interatomic potentials显示文摘Carbon neutrality has been proposed as a solution for the current severe energy and climate crisis caused by the overuse of fossil fuels, and machine learning(ML) has exhibited excellent performance in accelerating related research owing to its powerful capacity for big data processing. This review presents a detailed overview of ML accelerated carbon neutrality research with a focus on energy management, screening of novel energy materials, and ML interatomic potentials(MLIPs), with illustrations of two selected MLIP algorithms: moment tensor potential(MTP) and neural equivariant interatomic potential(NequIP). We conclude by outlining the important role of ML in accelerating the achievement of carbon neutrality from global-scale energy management, unprecedented screening of advanced energy materials in massive chemical space, to the revolution of atomicscale simulations of MLIPs, which has the bright prospect of applications. | WU LingJun XU ZhenMing WANG ZiXuan CHEN ZiJian HUANG ZhiChao PENG Chao PEI XiangDong LI XiangGuo MAILOA Jonathan P HSIEH Chang-Yu WU Tao YU Xue-Feng ZHAO HaiTao | 2022 | Science China(Technological Sciences)2022，65，10： | 0 |
| 9 | Identification of Suitable Reference Genes for qRT-PCR Normalization in Tilia miqueliana Maxim显示文摘Quantitative real-time polymerase chain reaction(qRT-PCR)is a rapid and effective approach toward detecting the expression patterns of target genes.The selection of a stable reference gene under specific test condition is essential for expressing levels of target genes accurately.Tilia miqueliana,considered endangered,is a prominent native ornamental and honey tree in East China.No study has evaluated the optimal endogenous reference gene for qRT-PCR analysis in T.miqueliana systematically.In this study,fifteen commonly used reference genes were selected as candidate genes,and the stabilities of their expressions were assessed using four algorithms(GeNorm,NormFiner,BestKeeper,and DeltaCt)in nine experimental datasets.The final integrated evaluation was performed using a comprehensive analysis algorithm(RefFinder).Finally,a target MYB transcription factor gene(TmMYB)was used to verify the accuracy of the candidate reference genes.The results showed that PP2αwas the most stable in tissue set,while RPS13 and SAMCD were optimal for heat and cold stress,respectively.Under waterlogging stress,PP2αand TUB were the most stable genes in the leaves and roots,respectively.EF1αand PP2αwere optimal for drying stress in leaf and root tissues.TUB and ACT7 were the most stable genes in the leaf and root tissues under salt stress.This is the first systematic evaluation of candidate reference genes in T.miqueliana,and it will benefit future studies on expression and functional analysis of target genes in T.miqueliana. | Huanli Wang Lingjun Yan Xi Huang Zhongwei Wang Yuanhao Yue Shijie Tang | 2022 | Phyton-International Journal of Experimental Botany2022，91，10： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员