Immune function and antioxidant defense play an important role in protecting animals against pathogens and in controlling oxidative stress, respectively. Aldicarb is of great concern for human health due to its toxic ...Immune function and antioxidant defense play an important role in protecting animals against pathogens and in controlling oxidative stress, respectively. Aldicarb is of great concern for human health due to its toxic nature, its extensive usage and consequent pollution. The hypothesis that aldicarb exposure would suppress immune function and antioxidant capacity in Kunming mice was to be tested in the present study. Twenty-three adult male mice were randomly divided into the control (n = 11) and the aldicarb treated (n = 12) groups. Food and water were provided ad libtum for both groups, while the aldicarb treated mice drank aldicarb solution (0.097 mg/L) for 22 days. Cellular immunity assessed by phytohaemagglutinin (PHA) response did not differ between the control and the aldicarb treated groups. Similarly, white blood cells were not influenced by aldicarb treatment. Moreover, aldicarb exposure had not significant effect on body mass, all organ masses detected. However, aldicarb treatment suppressed total antioxidant capacity in liver but not in kidneys. In summary, aldicarb treatment did not affect immune function, but suppressed liver antioxidant capacity in Kunming mice.展开更多
GPCRs are dominant targets for approved drugs and the discovery of lead compound targeting them is still challengeable.Affinity-based screening technique is a promising platform to uncover GPCR ligands.However,the int...GPCRs are dominant targets for approved drugs and the discovery of lead compound targeting them is still challengeable.Affinity-based screening technique is a promising platform to uncover GPCR ligands.However,the intrinsic activities of them are seldom simultaneously determined during the screening.Taking beta2-adrenoceptor(β2AR)as a probe,this work created a strategy for screening GPCR ligands with simultaneous characterization of their downstream G protein binding responses associated with GTP.The strategy included(i)the design and expression of a protein miniature formed byβ2AR and G proteinα-subunit(Gαs)using circularly permuted HaloTag(cpHalo)as a flexible linker;(ii)immobilization of the miniature onto silica gel by a click dehalogenation reaction;(iii)systematic characterization of the immobilized miniature by fluorescent and chromatographic studies,and(iv)simulating of ligand-inducedβ2AR-Gαs signaling cascade by chromatographic assays using GTP as an indicator.The immobilized miniature exhibited specificity toβ2AR and Gαs antibodies and ligands.The specificity is stable at least within fifteen days with the variation less than 1%.The intrinsic activities ofβ2AR ligands were distinguished by the changes of GTP chromatographic behaviors on Gαs-cpHalo-β2AR column.Agonists strengthened the binding affinity and kinetics of GTP with Gαs,while antagonist did not give any effect on them.With the intrinsic activity evaluation,we believe,it will improve the attributes of chromatographic methods for drug discovery efforts with minimizing false-positive results.展开更多
In contemporary cities,road collapse is one of the most common disasters.This study proposed a framework for assessing the risk of urban road collapse.The framework first established a risk indicator system that combi...In contemporary cities,road collapse is one of the most common disasters.This study proposed a framework for assessing the risk of urban road collapse.The framework first established a risk indicator system that combined environmental and anthropogenic factors,such as soil type,pipeline,and construction,as well as other indicators.Second,an oversampling technique was used to create the dataset.The framework then constructed and trained a convolutional neural network(CNN)-based model for risk assessment.The experimental results show that the CNN model(accuracy:0.97,average recall:0.91)outperformed other models.The indicator contribution analysis revealed that the distance between the road and the construction site(contribution:0.132)and the size of the construction(contribution:0.144)are the most significant factors contributing to road collapse.According to the natural breaks,a road collapse risk map of Foshan City,Guangdong Province,was created,and the risk level was divided into five categories.Nearly 3%of the roads in the study area are at very high risk,and 6%are at high risk levels,with the high risk roads concentrated in the east and southeast.The risk map produced by this study can be utilized by local authorities and policymakers to help maintain road safety.展开更多
Background：Green tea has been shown to improve cholesterol metabolism in animal studies,but the molecular mechanisms underlying this function have not been fully understood.Long non-coding RNAs （lncRNAs） have recen...Background：Green tea has been shown to improve cholesterol metabolism in animal studies,but the molecular mechanisms underlying this function have not been fully understood.Long non-coding RNAs （lncRNAs） have recently emerged as a major class of regulatory molecules involved in a broad range of biological processes and complex diseases.Our aim was to identify important lncRNAs that might play an important role in contributing to the benefits of epigallocatechin-3-gallate （EGCG） on cholesterol metabolism.Methods：Microarrays was used to reveal the lncRNA and mRNA profiles in green tea polyphenol（-）-epigallocatechin gallate in cultured human liver （HepG2） hepatocytes treated with EGCG and bioinformatic analyses of the predicted target genes were performed to identify lncRNA-mRNA targeting relationships.RNA interference was used to investigate the role of lncRNAs in cholesterol metabolism.Results：The expression levels of 15 genes related to cholesterol metabolism and 285 lncRNAs were changed by EGCG treatment.Bioinformatic analysis found five matched lncRNA-mRNA pairs for five differentially expressed lncRNAs and four differentially expressed mRNA.In particular,the lncRNA4 T102202 and its potential targets mRNA-3-hydroxy-3-methylglutaryl coenzyme A reductase （HMGCR） were identified.Using a real-time polymerase chain reaction technique,we confirmed that EGCG down-regulated mRNA expression level of the HMGCR and up-regulated expression ofAT102202.After AT102202 knockdown in HepG2,we observed that the level of HMGCR expression was significantly increased relative to the scrambled small interfering RNA control （P 〈 0.05）.Conclusions：Our results indicated that EGCG improved cholesterol metabolism and meanwhile changed the lncRNAs expression profile in HepG2 cells.LncRNAs may play an important role in the cholesterol metabolism.展开更多
Summary of main observation and conclusion An intermolecular [4+2] cycloaddition was realized through C-C bond cleavage in the presence of Rh(Ⅰ) catalyst.The selective ring opening of 2-alkylenecyciobutanols enables ...Summary of main observation and conclusion An intermolecular [4+2] cycloaddition was realized through C-C bond cleavage in the presence of Rh(Ⅰ) catalyst.The selective ring opening of 2-alkylenecyciobutanols enables the generation of active alkenylrhodium species,which underwent smooth cross addition over alkynes and (E)-2-nitroethenylbenzene,leading to highly substituted all-carbon six-membered rings in a single step and in a complete atom economy.展开更多
A natural hazard-related disaster event often causes a series of secondary disasters, forming a disaster chain. Modeling the evolution of disaster chains in multihazard scenarios is crucial for risk governance and urb...A natural hazard-related disaster event often causes a series of secondary disasters, forming a disaster chain. Modeling the evolution of disaster chains in multihazard scenarios is crucial for risk governance and urban resilience. However, existing multi-hazard models are limited by complex model design and fixed disaster types, making it impossible to ensure flexible reactions to complex and diverse scenarios. This study presents a disaster management system for disaster model service chain(DMSC) to implement interoperable multi-hazard modeling. To achieve efficient model interaction in the DMSC, a management module is designed to normalize heterogeneous single-hazard models based on disaster system theory and the Open Geospatial Consortium standards, enabling them to be accessible,reusable, and interoperable. The normalized models are then adaptively orchestrated through an orchestration module to establish optimal executable DMSCs for different multihazard scenarios. Taking an earthquake disaster chain as a case study, we demonstrate that the disaster management system shows stable and flexible performance for multihazard modeling.展开更多
文摘Immune function and antioxidant defense play an important role in protecting animals against pathogens and in controlling oxidative stress, respectively. Aldicarb is of great concern for human health due to its toxic nature, its extensive usage and consequent pollution. The hypothesis that aldicarb exposure would suppress immune function and antioxidant capacity in Kunming mice was to be tested in the present study. Twenty-three adult male mice were randomly divided into the control (n = 11) and the aldicarb treated (n = 12) groups. Food and water were provided ad libtum for both groups, while the aldicarb treated mice drank aldicarb solution (0.097 mg/L) for 22 days. Cellular immunity assessed by phytohaemagglutinin (PHA) response did not differ between the control and the aldicarb treated groups. Similarly, white blood cells were not influenced by aldicarb treatment. Moreover, aldicarb exposure had not significant effect on body mass, all organ masses detected. However, aldicarb treatment suppressed total antioxidant capacity in liver but not in kidneys. In summary, aldicarb treatment did not affect immune function, but suppressed liver antioxidant capacity in Kunming mice.
基金National Natural Science Foundation of China(Nos.22374116,22074118,82174088)Natural Science Basic Research Program of Shaanxi(2024JC-TBZC-21)Shaanxi Administration of Traditional Chinese Medicine(No.2022-SLRH-YQ-007)。
文摘GPCRs are dominant targets for approved drugs and the discovery of lead compound targeting them is still challengeable.Affinity-based screening technique is a promising platform to uncover GPCR ligands.However,the intrinsic activities of them are seldom simultaneously determined during the screening.Taking beta2-adrenoceptor(β2AR)as a probe,this work created a strategy for screening GPCR ligands with simultaneous characterization of their downstream G protein binding responses associated with GTP.The strategy included(i)the design and expression of a protein miniature formed byβ2AR and G proteinα-subunit(Gαs)using circularly permuted HaloTag(cpHalo)as a flexible linker;(ii)immobilization of the miniature onto silica gel by a click dehalogenation reaction;(iii)systematic characterization of the immobilized miniature by fluorescent and chromatographic studies,and(iv)simulating of ligand-inducedβ2AR-Gαs signaling cascade by chromatographic assays using GTP as an indicator.The immobilized miniature exhibited specificity toβ2AR and Gαs antibodies and ligands.The specificity is stable at least within fifteen days with the variation less than 1%.The intrinsic activities ofβ2AR ligands were distinguished by the changes of GTP chromatographic behaviors on Gαs-cpHalo-β2AR column.Agonists strengthened the binding affinity and kinetics of GTP with Gαs,while antagonist did not give any effect on them.With the intrinsic activity evaluation,we believe,it will improve the attributes of chromatographic methods for drug discovery efforts with minimizing false-positive results.
基金supported by the Guangdong Provincial Key Laboratory of New Construction Technology for Urban Rail Transit Engineering(2017B030302009)。
文摘In contemporary cities,road collapse is one of the most common disasters.This study proposed a framework for assessing the risk of urban road collapse.The framework first established a risk indicator system that combined environmental and anthropogenic factors,such as soil type,pipeline,and construction,as well as other indicators.Second,an oversampling technique was used to create the dataset.The framework then constructed and trained a convolutional neural network(CNN)-based model for risk assessment.The experimental results show that the CNN model(accuracy:0.97,average recall:0.91)outperformed other models.The indicator contribution analysis revealed that the distance between the road and the construction site(contribution:0.132)and the size of the construction(contribution:0.144)are the most significant factors contributing to road collapse.According to the natural breaks,a road collapse risk map of Foshan City,Guangdong Province,was created,and the risk level was divided into five categories.Nearly 3%of the roads in the study area are at very high risk,and 6%are at high risk levels,with the high risk roads concentrated in the east and southeast.The risk map produced by this study can be utilized by local authorities and policymakers to help maintain road safety.
基金The present study was supported by a grant from the National Natural Science Foundation of China （No. 81241007）.
文摘Background：Green tea has been shown to improve cholesterol metabolism in animal studies,but the molecular mechanisms underlying this function have not been fully understood.Long non-coding RNAs （lncRNAs） have recently emerged as a major class of regulatory molecules involved in a broad range of biological processes and complex diseases.Our aim was to identify important lncRNAs that might play an important role in contributing to the benefits of epigallocatechin-3-gallate （EGCG） on cholesterol metabolism.Methods：Microarrays was used to reveal the lncRNA and mRNA profiles in green tea polyphenol（-）-epigallocatechin gallate in cultured human liver （HepG2） hepatocytes treated with EGCG and bioinformatic analyses of the predicted target genes were performed to identify lncRNA-mRNA targeting relationships.RNA interference was used to investigate the role of lncRNAs in cholesterol metabolism.Results：The expression levels of 15 genes related to cholesterol metabolism and 285 lncRNAs were changed by EGCG treatment.Bioinformatic analysis found five matched lncRNA-mRNA pairs for five differentially expressed lncRNAs and four differentially expressed mRNA.In particular,the lncRNA4 T102202 and its potential targets mRNA-3-hydroxy-3-methylglutaryl coenzyme A reductase （HMGCR） were identified.Using a real-time polymerase chain reaction technique,we confirmed that EGCG down-regulated mRNA expression level of the HMGCR and up-regulated expression ofAT102202.After AT102202 knockdown in HepG2,we observed that the level of HMGCR expression was significantly increased relative to the scrambled small interfering RNA control （P 〈 0.05）.Conclusions：Our results indicated that EGCG improved cholesterol metabolism and meanwhile changed the lncRNAs expression profile in HepG2 cells.LncRNAs may play an important role in the cholesterol metabolism.
文摘Summary of main observation and conclusion An intermolecular [4+2] cycloaddition was realized through C-C bond cleavage in the presence of Rh(Ⅰ) catalyst.The selective ring opening of 2-alkylenecyciobutanols enables the generation of active alkenylrhodium species,which underwent smooth cross addition over alkynes and (E)-2-nitroethenylbenzene,leading to highly substituted all-carbon six-membered rings in a single step and in a complete atom economy.
基金Project of Shenzhen,China(Grant No.JCYJ20180508152055235)the Key Field Research and Development Program of Guangdong,China(Grant No.2019B111104001).
文摘A natural hazard-related disaster event often causes a series of secondary disasters, forming a disaster chain. Modeling the evolution of disaster chains in multihazard scenarios is crucial for risk governance and urban resilience. However, existing multi-hazard models are limited by complex model design and fixed disaster types, making it impossible to ensure flexible reactions to complex and diverse scenarios. This study presents a disaster management system for disaster model service chain(DMSC) to implement interoperable multi-hazard modeling. To achieve efficient model interaction in the DMSC, a management module is designed to normalize heterogeneous single-hazard models based on disaster system theory and the Open Geospatial Consortium standards, enabling them to be accessible,reusable, and interoperable. The normalized models are then adaptively orchestrated through an orchestration module to establish optimal executable DMSCs for different multihazard scenarios. Taking an earthquake disaster chain as a case study, we demonstrate that the disaster management system shows stable and flexible performance for multihazard modeling.
