|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Post-marketing safety surveillance and reevaluation of Motherwort injection:A clinical study of 10094 cases显示文摘OBJECTIVE:To investigate the safety profiles of Motherwort injection(MI).METHODS:A multi-center,prospective and drugderived hospital intensive monitoring method was conducted to assess the safety of MI in real world applications.This study was based on a very large population after the injection was approved and marketed in China.All patients using the injection in participating hospitals were monitored to determine the incidence,pattern,severity and outcome of associated adverse events.RESULTS:The post-marketing surveillance was performed in 10 094 female patients from April to December,2015.The incidence of adverse drug reactions(ADRs) was 0.79‰(8/10 094).Among the 8 patients,the reported adverse events mainly included systemic abnormalities,such as fever,chills and eyelid edema;skin and appendages disorders,such as pruritus and rash;gastrointestinal disorders,such as nausea,abdominal distension and pain;heart rate and rhythm disorders,such as palpitation and increased heart rate.All of these ADRs were mild in severity.CONCLUSION:In this study the ADRs incidence rate of MI is very low,which supports that it is generally safe for use in obstetric and gynecological diseases.However,the total number of 8 ADRs recorded over a relatively short time span seems limited,and the low number of reports could not represent an absolute guarantee of safety. | Cao Shan Zhang Wenhao Zhao Ziwei Heng Mingli Bu Huaien Wang Hongwu Liu Xinghui Wang Zhong Cai Yan Ma Yuyan Cui Shihong Deng Jihong Ding Guifeng Ding Yajuan Dong Linhong Duan Zhentao Fan Ling Fan Yang Fu Fen He Jing Ji Shuying Jin Lin Li Hong Li Hongying Liao Tao Lu Wei Luo Xiucui Lü Zhihui Ma Fengchun Ma Dafeng Shi Tianyun Sun Juying Sun Xiaotong Teng Hong Wang Jinhua Wang Ruihua Wang Ying Wang Zhengling Xi Jie Xu Minjuan Xu Zhihong Yan Qian Yang Cuirong Yang Yimei Yin Jie Yu Jinhua Yuan Wenjun Zhang Guanli Zhang Meihua Zhao Renfeng Zhong Yonghong Zhou Jian | 2018 | Journal of Traditional Chinese Medicine2018，38，4： | 4 |
| 2 | Distinctive expression patterns and roles of the miRNA393/TIR1 homolog module in regulating flag leaf inclination and primary and crown root growth in rice ( Oryza sativa )显示文摘 | Hongwu Bian Yakun Xie Fu Guo Ning Han Shengyun Ma Zhanghui Zeng Junhui Wang Yinong Yang Muyuan Zhu | 2012 | New Phytologist2012，，1： | 1 |
| 3 | Influ- ence of operating conditions on extracellular polymeric sub- stances and surface properties of sludge floes显示文摘 | WANG Hongwu DENG Huanhuan MA Luming | 2013 | Carbohy- drate Polymers2013，92，1： | 1 |
| 4 | The analysis of the energy efficiency and its influence factors in TianJin 显示文摘 | Wang Hongwu He Xiaoli Ma Junhai | 2011 | Energy Procedia2011，，： | 1 |
| 5 | Auxin signaling module OsSK41-OsIAA10-OsARF regulates grain yield traits in rice显示文摘Auxin is an important phytohormone in plants, and auxin signaling pathways in rice play key roles in regulating its growth, development, and productivity. To investigate how rice grain yield traits are regulated by auxin signaling pathways and to facilitate their application in rice improvement, we validated the functional relationships among regulatory genes such as OsIAA10, OsSK41, and OsARF21 that are involved in one of the auxin(OsIAA10) signaling pathways. We assessed the phenotypic effects of these genes on several grain yield traits across two environments using knockout and/or overexpression transgenic lines.Based on the results, we constructed a model that showed how grain yield traits were regulated by OsIAA10 and OsTIR1, OsAFB2, and OsSK41 and OsmiR393 in the OsSK41-OsIAA10-OsARF module and by OsARF21 in the transcriptional regulation of downstream auxin response genes in the OsSK41-OsIAA10-OsARF module. The population genomic analyses revealed rich genetic diversity and the presence of major functional alleles at most of these loci in rice populations. The strong differentiation of many major alleles between Xian/indica and Geng/japonica subspecies and/or among modern varieties and landraces suggested that they contributed to improved productivity during evolution and breeding. We identified several important aspects associated with the genetic and molecular bases of rice grain and yield traits that were regulated by auxin signaling pathways.We also suggested rice auxin response factor(OsARF) activators as candidate target genes for improving specific target traits by overexpression and/or editing subspecies-specific alleles and by searching and pyramiding the ‘best' gene allelic combinations at multiple regulatory genes in auxin signaling pathways in rice breeding programs. | Fuying Ma Fan Zhang Yu Zhu Dengyong Lan Peiwen Yan Ying Wang Zejun Hu Xinwei Zhang Jian Hu Fuan Niu Mingyu Liu Shicong He Jinhao Cui Xinyu Yuan Ying Yan Shujun Wu Liming Cao Hongwu Bian Jinshui Yang Zhikang Li Xiaojin Luo | 2023 | Journal of Integrative Plant Biology2023，65，7： | 1 |
| 6 | Iron shavings supported biological denitrification in sequencing batch reactor显示文摘 | Wang Zi Wang Hongwu Ma Luming | 2012 | Desalin Water Treat2012，49，123： | 1 |
| 7 | Immunological characteristics of human umbilical cord mesenchymal stemcells and the therapeutic effects of their transplantion on hyperglycemia in diabeticrats显示文摘 | Hongwu Wang Xiaoyan Qiu Ping Ni Xuerong Qiu Xiaobo Lin Weizhao Wu Lichun Xie Limin Lin Juan Min Xiulan Lai Yunbin Chen Guyu Ho Lian Ma | 2014 | International Journal of Molecular Medicine2014，，2： | 1 |
| 8 | Immunological characteristics of human umbilical cord mesenchymal stemcells and the therapeutic effects of their transplantion on hyperglycemia in diabeticrats显示文摘 | Hongwu Wang Xiaoyan Qiu Ping Ni Xuerong Qiu Xiaobo Lin Weizhao Wu Lichun Xie Limin Lin Juan Min Xiulan Lai Yunbin Chen Guyu Ho Lian Ma | 2014 | International Journal of Molecular Medicine2014，，2： | 1 |
| 9 | The mechanism underlying extrapulmonary complications of the coronavirus disease 2019 and its therapeutic implication显示文摘The coronavirus disease 2019(COVID-19)is a highly transmissible disease caused by the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)that poses a major threat to global public health.Although COVID-19 primarily affects the respiratory system,causing severe pneumonia and acute respiratory distress syndrome in severe cases,it can also result in multiple extrapulmonary complications. | Qin Ning Di Wu Xiaojing Wang Dong Xi Tao Chen Guang Chen Hongwu Wang Huiling Lu Ming Wang Lin Zhu Junjian Hu Tingting Liu Ke Ma Meifang Han Xiaoping Luo | 2022 | Signal Transduction and Targeted Therapy2022，7，3： | 1 |
| 10 | The Connectivity Structure, Giant Strong Component and Centrality of Metabolic Networks 显示文摘 | Ma Hongwu Zeng A P | 2003 | Bioinformatics2003，19，11： | 1 |
| 11 | Regulating off-centering distortion maximizes photoluminescence in halide perovskites显示文摘Metal halide perovskites possess unique atomic and electronic configurations that endow them with high defect tolerance and enable high-performance photovoltaics and optoelectronics.Perovskite light-emitting diodes have achieved an external quantum efficiency of over 20%.Despite tremendous progress,fundamental questions remain,such as how structural distortion affects the optical properties.Addressing their relationships is considerably challenging due to the scarcity of effective diagnostic tools during structural and property tuning as well as the limited tunability achievable by conventional methods.Here,using pressure and chemical methods to regulate the metal off-centering distortion,we demonstrate the giant tunability of photoluminescence(PL)in both the intensity(>20 times)and wavelength(>180 nm/GPa)in the highly distorted halide perovskites[CH_(3)NH_(3)GeI_(3),HC(NH_(2))2GeI_(3),and Cs Ge I_(3)].Using advanced in situ high-pressure probes and first-principles calculations,we quantitatively reveal a universal relationship whereby regulating the level of off-centering distortion towards 0.2 leads to the best PL performance in the halide perovskites.By applying this principle,intense PL can still be induced by substituting CH_(3)NH_(3)^(+)with Cs^(+)to control the distortion in(CH_(3)NH_(3))_(1-x)Cs_(x)GeI_(3),where the chemical substitution plays a similar role as external pressure.The compression of a fully substituted sample of CsGe I_(3)further tunes the distortion to the optimal value at 0.7 GPa,which maximizes the emission with a10-fold enhancement.This work not only demonstrates a quantitative relationship between structural distortion and PL property of the halide perovskites but also illustrates the use of knowledge gained from high-pressure research to achieve the desired properties by ambient methods. | Xujie Lv Constantinos Stoumpos Qingyang Hu Xuedan Ma Dongzhou Zhang Songhao Guo Justin Hoffman Kejun Bu Xiaofeng Guo Yingqi Wang Cheng Ji Haijie Chen Hongwu Xu Quanxi Jia Wenge Yang Mercouri G.Kanatzidis Ho-Kwang Mao | 2021 | National Science Review2021，8，9： | 1 |
| 12 | The relation between sandstorms and strong winds in Xinjiang, China 显示文摘 | Xu Wang Yu Ma Hongwu Chen | 2003 | Water Air& Soil Pollution (Focus)2003，3，2： | 1 |
| 13 | Data-Driven Synthetic Cell Factories Development for Industrial Biomanufacturing显示文摘Revolutionary breakthroughs in artificial intelligence (AI) and machine learning (ML) have had a profound impact on a widerange of scientific disciplines, including the development of artificial cell factories for biomanufacturing. In this paper, wereview the latest studies on the application of data-driven methods for the design of new proteins, pathways, and strains. Wefirst briefly introduce the various types of data and databases relevant to industrial biomanufacturing, which are the basis fordata-driven research. Different types of algorithms, including traditional ML and more recent deep learning methods, are alsopresented. We then demonstrate how these data-based approaches can be applied to address various issues in cell factorydevelopment using examples from recent studies, including the prediction of protein function, improvement of metabolicmodels, and estimation of missing kinetic parameters, design of non-natural biosynthesis pathways, and pathway optimization.In the last section, we discuss the current limitations of these data-driven approaches and propose that data-driven methodsshould be integrated with mechanistic models to complement each other and facilitate the development of synthetic strains forindustrial biomanufacturing. | Zhenkun Shi Pi Liu Xiaoping Liao Zhitao Mao Jianqi Zhang Qinhong Wang Jibin Sun Hongwu Ma Yanhe Ma | 2022 | BioDesign Research2022，，1： | 0 |
| 14 | Highly stable aqueous phase black phosphorus quantum dots with enhanced fluorescence property显示文摘Black phosphorus quantum dots(BPQDs)are a kind of outstanding optical material due to the tunable band structure.However,their fluorescence property and stability are obviously weakened in the aqueous phase,which extremely restricts the development of BPQDs.Here,we propose a new method to prepare stable BPQDs in an aqueous solution directly with high absolute fluorescence quantum yield.Aqueous phase BPQDs are synthesized by liquid exfoliation and hydrothermal with NH_(2)-polyethylene glycol(PEG)-NH_(2) as the modification agent to protect the BPQDs,which have high stability more than six months.In addition,NH_(2)-PEG-NH_(2) is also a surface passivation agent to enhance the emission of BPQDs by forming P-N bonds,which is confirmed by an absolute fluorescent quantum yield of 11.5%.Moreover,BPQDs show excellent resistance to a strong acid environment and high ionic strengths except for Fe^(3+).Therefore,the BPQDs are a kind of highly selective and linear response fluorescence probe for Fe^(3+).Considering the good biocompatibility of BPQDs,they are employed as cell fluorescent label probes and show excellent fluorescence imaging contrast.Based on the unique structural stability and fluorescence performance in the aqueous phase,BPQDs are potential candidates for Fe^(3+)detection and optical bio-imaging. | Yingli Ma Xiaoguang Xu Xiaoshuang Zhang Mayifei Rong Liying Lu Yan Li Wenhao Dai Hongwu Du Yong Jiang | 2022 | Journal of Materials Science & Technology2022，，21： | 0 |
| 15 | Construction and application of high-quality genome-scale metabolic model of Zymomonas mobilis to guide rational design of microbial cell factories显示文摘High-quality genome-scale metabolic models(GEMs)could play critical roles on rational design of microbial cell factories in the classical Design-Build-Test-Learn cycle of synthetic biology studies.Despite of the constant establishment and update of GEMs for model microorganisms such as Escherichia coli and Saccharomyces cerevisiae,high-quality GEMs for non-model industrial microorganisms are still scarce.Zymomonas mobilis subsp.mobilis ZM4 is a non-model ethanologenic microorganism with many excellent industrial characteristics that has been developing as microbial cell factories for biochemical production.Although five GEMs of Z.mobilis have been constructed,these models are either generating ATP incorrectly,or lacking information of plasmid genes,or not providing standard format file.In this study,a high-quality GEM iZM516 of Z.mobilis ZM4 was constructed.The information from the improved genome annotation,literature,datasets of Biolog Phenotype Microarray studies,and recently updated Gene-Protein-Reaction information was combined for the curation of iZM516.Finally,516 genes,1389 reactions,1437 metabolites,and 3 cell compartments are included in iZM516,which also had the highest MEMOTE score of 91%among all published GEMs of Z.mobilis.Cell growth was then predicted by iZM516,which had 79.4%agreement with the experimental results of the substrate utilization.In addition,the potential endogenous succinate synthesis pathway of Z.mobilis ZM4 was proposed through simulation and analysis using iZM516.Furthermore,metabolic engineering strategies to produce succinate and 1,4-butanediol(1,4-BDO)were designed and then simulated under anaerobic condition using iZM516.The results indicated that 1.68 mol/mol succinate and 1.07 mol/mol 1,4-BDO can be achieved through combinational metabolic engineering strategies,which was comparable to that of the model species E.coli.Our study thus not only established a high-quality GEM iZM516 to help understand and design microbial cell factories for economic biochemical production using Z.mobilis as the chassis,but also provided guidance on building accurate GEMs for other non-model industrial microorganisms. | Yalun Wu Qianqian Yuan Yongfu Yang Defei Liu Shihui Yang Hongwu Ma | 2023 | Synthetic and Systems Biotechnology2023，8，3： | 0 |
| 16 | Optimizing Utility of Cognitive Radio Ad Hoc Networks under the Energy and Retransmission Constraint显示文摘 | FENG Guangsheng ZHAO Qian WANG Huiqiang LV Hongwu Lin JUNYU MA Chunguang | 2014 | China Communications2014，11，A01： | 0 |
| 17 | Discovery of novel ursolic acid derivatives as effective antimicrobial agents through a ROS-mediated apoptosis mechanism显示文摘In response to the reduction of food production and economic losses caused by plant bacterial diseases, it is necessary to develop new, efficient, and green pesticides. Natural products are rich and sustainable source for the development of new pesticides due to their low toxicity, easy degradation, and eco-friendliness. In this study, we prepared three series of ursolic acid derivatives and assessed their antibacterial ability. Most target compounds exhibited outstanding antibacterial activities. Among them, the relative optimal EC50 values of Xanthomonas oryzae pv. oryzae and Xanthomonas axonopodis pv. citri were 2.23 (A17) and 1.39 (A16) μg·mL^(-1), respectively. The antimicrobial mechanism showed that compound A17 induced an excessive accumulation and production of reactive oxygen species in bacteria and damaged the cell membrane integrity to kill bacteria. More interestingly, the addition of low concentrations of exogenous hydrogen peroxide enhanced the antibacterial efficacy of compound A17 against Xanthomonas oryzae pv. oryzae. These entertaining results suggested that compound A17 induced an apparent apoptotic behavior in the tested bacteria. Overall, we developed the promising antimicrobial agents that destroyed the redox system of phytopathogenic bacteria, further demonstrating the unprecedented potential of ursolic acid for agricultural applications. | Yihong Yang Siyue Ma Ting Li Jingjing He Shitao Liu Hongwu Liu Jiaojiao Zhang Xiang Zhou Liwei Liu Song Yang | 2023 | Frontiers of Chemical Science and Engineering2023，17，12： | 0 |
| 18 | Improving pathway prediction accuracy of constraints-based metabolic network models by treating enzymes as microcompartments显示文摘Metabolic network models have become increasingly precise and accurate as the most widespread and practical digital representations of living cells.The prediction functions were significantly expanded by integrating cellular resources and abiotic constraints in recent years.However,if unreasonable modeling methods were adopted due to a lack of consideration of biological knowledge,the conflicts between stoichiometric and other constraints,such as thermodynamic feasibility and enzyme resource availability,would lead to distorted predictions.In this work,we investigated a prediction anomaly of EcoETM,a constraints-based metabolic network model,and introduced the idea of enzyme compartmentalization into the analysis process.Through rational combination of reactions,we avoid the false prediction of pathway feasibility caused by the unrealistic assumption of free intermediate metabolites.This allowed us to correct the pathway structures of L-serine and L-tryptophan.A specific analysis explains the application method of the EcoETM-like model and demonstrates its potential and value in correcting the prediction results in pathway structure by resolving the conflict between different constraints and incorporating the evolved roles of enzymes as reaction compartments.Notably,this work also reveals the trade-off between product yield and thermodynamic feasibility.Our work is of great value for the structural improvement of constraints-based models. | Xue Yang Zhitao Mao Jianfeng Huang Ruoyu Wang Huaming Dong Yanfei Zhang Hongwu Ma | 2023 | Synthetic and Systems Biotechnology2023，8，4： | 0 |
| 19 | Reconstruction and metabolic profiling of the genome-scale metabolic network model of Pseudomonas stutzeri A1501显示文摘Pseudomonas stutzeri A1501 is a non-fluorescent denitrifying bacteria that belongs to the gram-negative bacterial group.As a prominent strain in the fields of agriculture and bioengineering,there is still a lack of comprehensive understanding regarding its metabolic capabilities,specifically in terms of central metabolism and substrate utilization.Therefore,further exploration and extensive studies are required to gain a detailed insight into these aspects.This study reconstructed a genome-scale metabolic network model for P.stutzeri A1501 and conducted extensive curations,including correcting energy generation cycles,respiratory chains,and biomass composition.The final model,iQY1018,was successfully developed,covering more genes and reactions and having higher prediction accuracy compared with the previously published model iPB890.The substrate utilization ability of 71 carbon sources was investigated by BIOLOG experiment and was utilized to validate the model quality.The model prediction accuracy of substrate utilization for P.stutzeri A1501 reached 90%.The model analysis revealed its new ability in central metabolism and predicted that the strain is a suitable chassis for the production of Acetyl CoA-derived products.This work provides an updated,high-quality model of P.stutzeri A1501for further research and will further enhance our understanding of the metabolic capabilities. | Qianqian Yuan Fan Wei Xiaogui Deng Aonan Li Zhenkun Shi Zhitao Mao Feiran Li Hongwu Ma | 2023 | Synthetic and Systems Biotechnology2023，8，4： | 0 |
| 20 | Enzyme Commission Number Prediction and Benchmarking with Hierarchical Dual-core Multitask Learning Framework显示文摘Enzyme commission(EC)numbers,which associate a protein sequence with the biochemical reactions it catalyzes,are essential for the accurate understanding of enzyme functions and cellular metabolism.Many ab initio computational approaches were proposed to predict EC numbers for given input protein sequences.However,the prediction performance(accuracy,recall,and precision),usability,and efficiency of existing methods decreased seriously when dealing with recently discovered proteins,thus still having much room to be improved.Here,we report HDMLF,a hierarchical dual-core multitask learning framework for accurately predicting EC numbers based on novel deep learning techniques.HDMLF is composed of an embedding core and a learning core;the embedding core adopts the latest protein language model for protein sequence embedding,and the learning core conducts the EC number prediction.Specifically,HDMLF is designed on the basis of a gated recurrent unit framework to perform EC number prediction in the multi-objective hierarchy,multitasking manner.Additionally,we introduced an attention layer to optimize the EC prediction and employed a greedy strategy to integrate and fine-tune the final model.Comparative analyses against 4 representative methods demonstrate that HDMLF stably delivers the highest performance,which improves accuracy and F1 score by 60%and 40%over the state of the art,respectively.An additional case study of tyrB predicted to compensate for the loss of aspartate aminotransferase aspC,as reported in a previous experimental study,shows that our model can also be used to uncover the enzyme promiscuity.Finally,we established a web platform,namely,ECRECer(http://gffzz4919e3ba129e423dsuwqwwp6cvpv66uuf.ffgz.tsg.suse.edu.cn),using an entirely could-based serverless architecture and provided an offline bundle to improve usability. | Zhenkun Shi Rui Deng Qianqian Yuan Zhitao Mao Ruoyu Wang Haoran Li Xiaoping Liao Hongwu Ma | 2023 | Research2023，，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员