[Objectives] This study was conducted to investigate the function of Dunaliella salina calmodulin kinase(CaM K) gene.[Methods] The sense and antisense gene fragments(223 bp) and spacer sequence(129 bp) of D.salina cal...[Objectives] This study was conducted to investigate the function of Dunaliella salina calmodulin kinase(CaM K) gene.[Methods] The sense and antisense gene fragments(223 bp) and spacer sequence(129 bp) of D.salina calmodulin kinase gene were cloned and inserted into the downstream part of the35 S promoter of the eukaryotic expression vector pM DCMGN-Cat.The siRNA expression system of CaM K gene was successfully constructed.The p CaM K-RNAi expression vector was transformed into D.salina cells by the LiA c/PEG-mediated method,giving transgenic D.salina.The expression of CaM K gene was then analyzed by real-time fluorescence quantitative PCR.[Results]The expression of CaM K gene in the transgenic D.salina was significantly reduced,by 70% compared with the control group,suggesting that the expression of CaM K gene was significantly inhibited.The examination of the growth status of D.salina showed that D.salina cell division and proliferation were also affected.It is proved that CaM K gene has a positive regulation effect on the division and proliferation of D.salina cells.[Conclusions] The study provides important information for further elucidating the function and action mechanism of D.salina calmodulin kinase gene.展开更多
As an important tropical cash crop,rubber trees play a key role in the rubber industry and ecosystem.However,a significant challenge in precision agriculture and refined management of rubber plantation lies in the lim...As an important tropical cash crop,rubber trees play a key role in the rubber industry and ecosystem.However,a significant challenge in precision agriculture and refined management of rubber plantation lies in the limitations of traditional point cloud segmentation methods,which struggle to accurately extract structural parameters and capture the spatial layout of individual rubber trees.Therefore,we propose an optimized dual-channel clustering method for the UAV LiDAR-based Rubber Tree Point Cloud Segmentation Network(RsegNet)for improved assessment of rubber tree architecture and traits.Firstly,we designed a cosine feature extraction network,termed CosineU-Net,to address the branch-and-leaf overlap problem by calculating the cosine similarity of the spatial and positional features of each point,leveraging deep learning approaches to improve feature representation.Secondly,we constructed a dual-channel clustering module reducing prediction error in rubber tree point cloud data,integrating multi-class association and background classification to tackle background interference.The cluster identification and separation accuracy in high-dimensional data processing is enhanced through a dy-namic clustering optimization algorithm.In our self-built dataset and across five regions of the FOR-instance forest dataset,RsegNet achieved the best performance compared to five state-of-the-art networks,reaching an F-score of 86.1%.This method calculated structural attributes including height,crown diameter,and volume for rubber trees in three areas under different environments in Danzhou City,Hainan Province,providing robust support for precise monitoring,plantation management,and health assessment.展开更多
Diffusible signal factor(DSF)-family quorum sensing(QS)signals are widely utilized by many pathogenic bacteria to modulate various biological functions and virulence.Previous studies showed that cis-2-decenoic acid(ci...Diffusible signal factor(DSF)-family quorum sensing(QS)signals are widely utilized by many pathogenic bacteria to modulate various biological functions and virulence.Previous studies showed that cis-2-decenoic acid(cis-DA)is involved in the modulation of biofilm dispersion in Pseudomonas aeruginosa,but the regulatory mechanism is unclear.Here,we report that cis-DA regulates the physiology and virulence of P.aeruginosa through FadD1,a long-chain fatty acid-CoA ligase.cis-DA specifically binds to FadD1 and enhances the binding ability of FadD1 to the target gene promoter DNA regions.Further analysis showed that FadD1 is a global regulatory factor that controls the transcription of various target genes.Moreover,FadD1 showed catalytic activity on cis-2-dodecenoic acid(BDSF)of Burkholderia cenocepacia and enhanced the competitiveness of P.aeruginosa.Together,our work presents a new DSF-type QS signaling system in P.aeruginosa,which is highlighted by the signal receptor evolved from a canonical enzyme of fatty acid metabolism.展开更多
Procalcitonin(PCT)is a widely used biomarker for the diagnosis of bacterial infections.It is produced by various organs and the liver is considered to be the most important site of production.Severe liver dysfunction ...Procalcitonin(PCT)is a widely used biomarker for the diagnosis of bacterial infections.It is produced by various organs and the liver is considered to be the most important site of production.Severe liver dysfunction has been shown to influence PCT levels.Patients with no sources of infection who have liver disease are observed to have increased serum levels of PCT,thereby reducing the diagnostic utility and value within this particular patient subset.Here,we have summarized the relationship between PCT and liver disease,including liver cirrhosis,liver failure,and liver transplantation.展开更多
Background and Aims:Metabolic-associated fatty liver disease(MAFLD)is a newly proposed terminology from 2020;yet,the applicability of conventional noninvasive fi-brosis models is still unknown for it.We aimed to evalu...Background and Aims:Metabolic-associated fatty liver disease(MAFLD)is a newly proposed terminology from 2020;yet,the applicability of conventional noninvasive fi-brosis models is still unknown for it.We aimed to evaluate the performance of conventional noninvasive fibrosis scores in MAFLD.Methods:The NHANES 2017-2018 datasets were used to compare the performances of different non-invasive fibrosis scores in MAFLD,including the aspartate aminotransferase(AST)to platelet ratio index(APRI),body mass index(BMI)-AST/alanine aminotransferase(ALT)ratio and diabetes score(BARD),fibrosis-4 index(FIB-4),and NAFLD fibrosis score(NFS).Moreover,Asian patients with biopsy-proven MAFLD were enrolled to further validate the findings.Results:A total of 2,622 participants in the Na-tional Health and Nutrition Examination Survey(NHANES)cohort and 293 patients with MAFLD in the Asian cohort were included.Patients in the Asian cohort had a lower BMI and higher liver enzymes(p<0.001).The area under the receiver operating characteristic curve(AUROC)of NFS was the largest in the NHANES cohort and Asian cohorts(0.679 and 0.699,respectively).The AUROC of NFS was followed by APRI,FIB-4,and BARD in the NHANES cohort(0.616,0.601,and 0.589,respectively).In the Asian cohort,the AUROC of APRI,FIB-4,and BARD for predicting advanced fibrosis were 0.625,0.683,and 0.615,respectively.The performance of FIB-4 was better in the Asian cohort than that in the NHANES cohort.Conclusions:NFS is better for predicting advanced fibrosis in MAFLD.FIB-4 can be an al-ternative choice for MAFLD with high liver enzymes when NFS is unavailable.Novel efficient noninvasive fibrosis scor-ing systems are highly required for patients with MAFLD.展开更多
Background and Aims:The aim of this study was to inves-tigate the effect(s)of meteorological factors on the preva-lence of acute-on-chronic liver failure(ACLF)based on 10-years'worth of population data.Methods:We ...Background and Aims:The aim of this study was to inves-tigate the effect(s)of meteorological factors on the preva-lence of acute-on-chronic liver failure(ACLF)based on 10-years'worth of population data.Methods:We retrospec-tively collected ACLF case data from January 2007 to Decem-ber 2016 from three major hospitals in Fuzhou City,China.Climatic data,including rainfall,mean temperature,differen-ces in temperature(delta temperature)and mean humidity for each month were downloaded from the China Climatic Data Service Center.Following data collection,Poisson regression analysis was used to estimate the effect(s)of climatic factors on the risk of the prevalence of ACLF.Results:The population consisted of a total of 3510 cases,with a mean age of 44.7±14.8 years-old and with 79.8%being male.Upon analyzing the population data,we found a growing trend and seasonal pattern of monthly counts of ACLF-related hospitalization throughout the past decade.Specifically,the primary peak of ACLF prevalence was in January and the secondary peak was in July.Poisson regression showed mean temperature(risk ratio=0.991,95%CI=0.986–0.996)and mean humidity(risk ra-tio=1.011,95%CI=1.006–1.017)to be independently cor-related with the monthly cases of ACLF.The results suggest that every unit increase of mean temperature(1°C)and mean humidity(1%)are associated with 0.991-and 1.011-fold changes of ACLF cases,respectively.Rainfall and delta temper-ature did not appear to affect the prevalence of this disease.Conclusions:The hospitalization for ACLF peaks in January and July.Low temperature and high humidity appear to func-tion as factors contributing to this seasonal pattern.展开更多
基金Supported by National Natural Science Foundation of China(31472260,30972240)。
文摘[Objectives] This study was conducted to investigate the function of Dunaliella salina calmodulin kinase(CaM K) gene.[Methods] The sense and antisense gene fragments(223 bp) and spacer sequence(129 bp) of D.salina calmodulin kinase gene were cloned and inserted into the downstream part of the35 S promoter of the eukaryotic expression vector pM DCMGN-Cat.The siRNA expression system of CaM K gene was successfully constructed.The p CaM K-RNAi expression vector was transformed into D.salina cells by the LiA c/PEG-mediated method,giving transgenic D.salina.The expression of CaM K gene was then analyzed by real-time fluorescence quantitative PCR.[Results]The expression of CaM K gene in the transgenic D.salina was significantly reduced,by 70% compared with the control group,suggesting that the expression of CaM K gene was significantly inhibited.The examination of the growth status of D.salina showed that D.salina cell division and proliferation were also affected.It is proved that CaM K gene has a positive regulation effect on the division and proliferation of D.salina cells.[Conclusions] The study provides important information for further elucidating the function and action mechanism of D.salina calmodulin kinase gene.
基金This work was supported by the Hainan Province Science and Technology Special Fund(Grant No.ZDYF2025XDNY113)the Central Public-interest Scientific Institution Basal Research Fund(Grant No.1630032022007)+2 种基金the Special Fund for Hainan Excellent Team"Rubber Genetics and Breeding"(Grant No.20210203)the Hunan Provincial Natural Science Foundation Project(Grant No.2025JJ50385)in part by the National Natural Science Foundation of China(Grant No.62276276).
文摘As an important tropical cash crop,rubber trees play a key role in the rubber industry and ecosystem.However,a significant challenge in precision agriculture and refined management of rubber plantation lies in the limitations of traditional point cloud segmentation methods,which struggle to accurately extract structural parameters and capture the spatial layout of individual rubber trees.Therefore,we propose an optimized dual-channel clustering method for the UAV LiDAR-based Rubber Tree Point Cloud Segmentation Network(RsegNet)for improved assessment of rubber tree architecture and traits.Firstly,we designed a cosine feature extraction network,termed CosineU-Net,to address the branch-and-leaf overlap problem by calculating the cosine similarity of the spatial and positional features of each point,leveraging deep learning approaches to improve feature representation.Secondly,we constructed a dual-channel clustering module reducing prediction error in rubber tree point cloud data,integrating multi-class association and background classification to tackle background interference.The cluster identification and separation accuracy in high-dimensional data processing is enhanced through a dy-namic clustering optimization algorithm.In our self-built dataset and across five regions of the FOR-instance forest dataset,RsegNet achieved the best performance compared to five state-of-the-art networks,reaching an F-score of 86.1%.This method calculated structural attributes including height,crown diameter,and volume for rubber trees in three areas under different environments in Danzhou City,Hainan Province,providing robust support for precise monitoring,plantation management,and health assessment.
基金financially supported by the National Natural Science Foundation of China(32300033)the National Key Research and Development Program of China(2021YFA0717003)+1 种基金the Hainan Provincial Natural Science Foundation of China(325RC647)the Scientific Research Foundation of Hainan University(KYQD(ZR)-23006).
文摘Diffusible signal factor(DSF)-family quorum sensing(QS)signals are widely utilized by many pathogenic bacteria to modulate various biological functions and virulence.Previous studies showed that cis-2-decenoic acid(cis-DA)is involved in the modulation of biofilm dispersion in Pseudomonas aeruginosa,but the regulatory mechanism is unclear.Here,we report that cis-DA regulates the physiology and virulence of P.aeruginosa through FadD1,a long-chain fatty acid-CoA ligase.cis-DA specifically binds to FadD1 and enhances the binding ability of FadD1 to the target gene promoter DNA regions.Further analysis showed that FadD1 is a global regulatory factor that controls the transcription of various target genes.Moreover,FadD1 showed catalytic activity on cis-2-dodecenoic acid(BDSF)of Burkholderia cenocepacia and enhanced the competitiveness of P.aeruginosa.Together,our work presents a new DSF-type QS signaling system in P.aeruginosa,which is highlighted by the signal receptor evolved from a canonical enzyme of fatty acid metabolism.
基金funded by the Fujian Medical Innovation Project(2016-cx-033)the Pilot Project of Fujian Science and Technology Department(2016Y0040,2017J01187)the Fujian Natural Science Foundation(2017J01187)
文摘Procalcitonin(PCT)is a widely used biomarker for the diagnosis of bacterial infections.It is produced by various organs and the liver is considered to be the most important site of production.Severe liver dysfunction has been shown to influence PCT levels.Patients with no sources of infection who have liver disease are observed to have increased serum levels of PCT,thereby reducing the diagnostic utility and value within this particular patient subset.Here,we have summarized the relationship between PCT and liver disease,including liver cirrhosis,liver failure,and liver transplantation.
基金This work was supported by the Fujian Province Health Education Joint Project(No.2019-WJ-16)the Fujian Province Health Technology Project(No.2020CXA040).
文摘Background and Aims:Metabolic-associated fatty liver disease(MAFLD)is a newly proposed terminology from 2020;yet,the applicability of conventional noninvasive fi-brosis models is still unknown for it.We aimed to evaluate the performance of conventional noninvasive fibrosis scores in MAFLD.Methods:The NHANES 2017-2018 datasets were used to compare the performances of different non-invasive fibrosis scores in MAFLD,including the aspartate aminotransferase(AST)to platelet ratio index(APRI),body mass index(BMI)-AST/alanine aminotransferase(ALT)ratio and diabetes score(BARD),fibrosis-4 index(FIB-4),and NAFLD fibrosis score(NFS).Moreover,Asian patients with biopsy-proven MAFLD were enrolled to further validate the findings.Results:A total of 2,622 participants in the Na-tional Health and Nutrition Examination Survey(NHANES)cohort and 293 patients with MAFLD in the Asian cohort were included.Patients in the Asian cohort had a lower BMI and higher liver enzymes(p<0.001).The area under the receiver operating characteristic curve(AUROC)of NFS was the largest in the NHANES cohort and Asian cohorts(0.679 and 0.699,respectively).The AUROC of NFS was followed by APRI,FIB-4,and BARD in the NHANES cohort(0.616,0.601,and 0.589,respectively).In the Asian cohort,the AUROC of APRI,FIB-4,and BARD for predicting advanced fibrosis were 0.625,0.683,and 0.615,respectively.The performance of FIB-4 was better in the Asian cohort than that in the NHANES cohort.Conclusions:NFS is better for predicting advanced fibrosis in MAFLD.FIB-4 can be an al-ternative choice for MAFLD with high liver enzymes when NFS is unavailable.Novel efficient noninvasive fibrosis scor-ing systems are highly required for patients with MAFLD.
基金This study was funded by Fujian Provincial Health Technology Project(2016-CX-33)Fujian Science and Technology Project(2017J01187)+1 种基金Fujian Province Science and Technology Program(2019D002)Fuzhou Science and Technology Program (2018-S-103-1).They supported the analysis of the data and writing of the manuscript
文摘Background and Aims:The aim of this study was to inves-tigate the effect(s)of meteorological factors on the preva-lence of acute-on-chronic liver failure(ACLF)based on 10-years'worth of population data.Methods:We retrospec-tively collected ACLF case data from January 2007 to Decem-ber 2016 from three major hospitals in Fuzhou City,China.Climatic data,including rainfall,mean temperature,differen-ces in temperature(delta temperature)and mean humidity for each month were downloaded from the China Climatic Data Service Center.Following data collection,Poisson regression analysis was used to estimate the effect(s)of climatic factors on the risk of the prevalence of ACLF.Results:The population consisted of a total of 3510 cases,with a mean age of 44.7±14.8 years-old and with 79.8%being male.Upon analyzing the population data,we found a growing trend and seasonal pattern of monthly counts of ACLF-related hospitalization throughout the past decade.Specifically,the primary peak of ACLF prevalence was in January and the secondary peak was in July.Poisson regression showed mean temperature(risk ratio=0.991,95%CI=0.986–0.996)and mean humidity(risk ra-tio=1.011,95%CI=1.006–1.017)to be independently cor-related with the monthly cases of ACLF.The results suggest that every unit increase of mean temperature(1°C)and mean humidity(1%)are associated with 0.991-and 1.011-fold changes of ACLF cases,respectively.Rainfall and delta temper-ature did not appear to affect the prevalence of this disease.Conclusions:The hospitalization for ACLF peaks in January and July.Low temperature and high humidity appear to func-tion as factors contributing to this seasonal pattern.
