Objectives:The pro-oncogenic effects of NCAPD2 have been extensively studied across various tumor types;however,its precise role within the context of lung adenocarcinoma(LUAD)remains elusive.This study aims to elucid...Objectives:The pro-oncogenic effects of NCAPD2 have been extensively studied across various tumor types;however,its precise role within the context of lung adenocarcinoma(LUAD)remains elusive.This study aims to elucidate the biological functions of NCAPD2 in LUAD and unravel the underlying mechanistic pathways.Methods:Utilizing bioinformatics methodologies,we explored the differential expression of NCAPD2 between normal and tumor samples,along with its correlations with clinical-pathological characteristics,survival prognosis,and immune infiltration.Results:In the TCGA-LUAD dataset,tumor samples demonstrated significantly elevated levels of NCAPD2 expression compared to normal samples(p<0.001).Clinically,higher NCAPD2 expression was notably associated with advanced T,N,and M stages,pathologic stage,gender,smoking status,and diminished overall survival(OS).Moreover,differentially expressed genes(DEGs)associated with NCAPD2 were predominantly enriched in pathways related to cell division.Immune infiltration analysis revealed that NCAPD2 expression levels were linked to the infiltration of memory B cells,naïve CD4+T cells,activated memory CD4+T cells,and M1 macrophages.In vitro experiments demonstrated that silencing NCAPD2 suppressed LUAD cell proliferation,migration,invasion,epithelial-mesenchymal transition(EMT),and cell cycle progression.Conclusions:In summary,NCAPD2 may represent a promising prognostic biomarker and novel therapeutic target for LUAD.展开更多
Broiler ascites syndrome(AS)is one of the main diseases threatening the health of broilers.It is well documented that myocardial hypertrophy and failure is one of the key mechanisms of broiler ascites syndrome.Therefo...Broiler ascites syndrome(AS)is one of the main diseases threatening the health of broilers.It is well documented that myocardial hypertrophy and failure is one of the key mechanisms of broiler ascites syndrome.Therefore,prevention of cardiac hypertrophy and failure would be one goal to reduce broiler ascites syndrome incidence.Myocardial hyper-trophy and failure are closely related to endoplasmic reticulum stress(ERS)in cardiac myocytes,and the endoplasmic reticulum stress signaling system(ATF6-DR5)is one of the important pathways of myocardial apoptosis.Excessive hyper-trophy will affect the heart muscle's normal contraction and diastole function,and the heart will turn from compen-sated to decompensate thus causing myocardial injury.Myocardial apoptosis is a core component of the pathological changes of this myocardial injury.Nano-selenium is a kind of red elemental selenium nanoparticle.Due to its excellent physical,chemical and biological properties,it has attracted extensive academic attention in recent years.It has been proven to have excellent antioxidant,antibacterial,antitumor,antihypertrophic,and antiapoptotic abilties.Herein,nano-selenium(1μmol/L)can inhibit hydrogen peroxide(H_(2)O_(2))-induced oxidative stress in broiler primary cardiomyocytes,and at the same time reduce cardiomyocyte apoptosis.In vivo,nano-selenium can reduce broiler myocardial injury-related enzyme indicators(AST,CK and LDH),and alleviate myocardial injury.It can also activate the antioxidant enzyme system(SOD,GSH-Px and CAT)and reduce MDA,and make the recovery ofT-AOC ability in the organization.Meanwhile,nano-selenium can down-regulate the genes and proteins expression of ATF-6,GRP-78,CHOP and caspase 12 in the ERS-related signaling pathway,and inhibit that of downstream-related caspase 3,Bax and caspase 9,and increase that of the downstream anti-apoptotic Bcl-2,thereby maintaining the homeostasis of the endoplasmic reticulum and alleviating cardiomyocyte apoptosis.It can be seen that nano-selenium can protect the damaged myocardium in the broiler ascites caused by high-salt drinking by regulating the ATF6-DR5 signaling pathway.This study was performed in chickens and cardiomyocyte cells and attempted to demonstrate that selenium nanoparticles can protect the damaged myocar-dium in broiler ascites.This paper provides a new idea for preventing and treating broiler ascites syndrome.展开更多
Objective:Heavy metal and harmful element contamination are frequently reported in Chinese herbal medicines(CHMs),and roots and rhizomes parts showed a higher content than other parts.To investigate the residue level ...Objective:Heavy metal and harmful element contamination are frequently reported in Chinese herbal medicines(CHMs),and roots and rhizomes parts showed a higher content than other parts.To investigate the residue level and assess the potential human health risk of heavy metals and harmful elements in roots and rhizomes,720 batches of the sample representing 20 species of herbs from different sources were collected.Methods:The content of Pb,Cd,As,Hg,and Cu in the digests was determined using ICP-MS.The chronic hazard index estimate based on non-cancer hazard quotient(HQ)was applied for potential health risk assessment of Pb,Cd,As,Hg,and Cu via consumption of CHMs.Results:Compared with the Chinese limit standard(Chinese Pharmacopoeia Commission,2020 edition)of Pb,Cd,As,Hg,and Cu in Ginseng Radix et Rhizoma,the exceedance percentage of Pb in total samples was 14.1%,which were generally far higher than Cd,As,Hg,and Cu.Health risk assessment results based on hazard quotient calculating showed that total HQ of Cu,Pb,As,Cd,and Hg in Pulsatillae Radix and Clematidis Radix et Rhizoma exceeded 1,with the value of 1.543 and 1.235.Besides,Arsenic had the highest HQ value(0.957)in Pulsatillae Radix.Conclusion:Consuming raw materials of Pulsatillae Radix and Clematidis Radix et Rhizoma may pose a potential risk and Arsenic residues in Pulsatillae Radix deserved special attention.展开更多
Online demand prediction plays an important role in transport network services from operations,controls to management,and information provision.However,the online prediction models are impacted by streaming data quali...Online demand prediction plays an important role in transport network services from operations,controls to management,and information provision.However,the online prediction models are impacted by streaming data quality issues with noise measurements and missing data.To address these,we develop a robust prediction method for online network-level demand prediction in public transport.It consists of a PCA method to extract eigen demand images and an optimization-based pattern recognition model to predict the weights of eigen demand images by making use of the partially observed real-time data up to the prediction time in a day.The prediction model is robust to data quality issues given that the eigen demand images are stable and the predicted weights of them are optimized using the network level data(less impacted by local data quality issues).In the case study,we validate the accuracy and transferability of the model by comparing it with benchmark models and evaluate the robustness in tolerating data quality issues of the proposed model.The experimental results demonstrate that the proposed Pattern Recognition Prediction based on PCA(PRP-PCA)consistently outperforms other benchmark models in accuracy and transferability.Moreover,the model shows high robustness in accommodating data quality issues.For example,the PRP-PCA model is robust to missing data up to 50%regardless of the noise level.We also discuss the hidden patterns behind the network level demand.The visualization analysis shows that eigen demand images are significantly connected to the network structure and station activity variabilities.Though the demand changes dramatically before and after the pandemic,the eigen demand images are consistent over time in Stockholm.展开更多
基金supported by the National Natural Science Foundation of China(82173828 and 81874314)the Research Project of the Shanghai Municipal Health Commission(20234Y0082).
文摘Objectives:The pro-oncogenic effects of NCAPD2 have been extensively studied across various tumor types;however,its precise role within the context of lung adenocarcinoma(LUAD)remains elusive.This study aims to elucidate the biological functions of NCAPD2 in LUAD and unravel the underlying mechanistic pathways.Methods:Utilizing bioinformatics methodologies,we explored the differential expression of NCAPD2 between normal and tumor samples,along with its correlations with clinical-pathological characteristics,survival prognosis,and immune infiltration.Results:In the TCGA-LUAD dataset,tumor samples demonstrated significantly elevated levels of NCAPD2 expression compared to normal samples(p<0.001).Clinically,higher NCAPD2 expression was notably associated with advanced T,N,and M stages,pathologic stage,gender,smoking status,and diminished overall survival(OS).Moreover,differentially expressed genes(DEGs)associated with NCAPD2 were predominantly enriched in pathways related to cell division.Immune infiltration analysis revealed that NCAPD2 expression levels were linked to the infiltration of memory B cells,naïve CD4+T cells,activated memory CD4+T cells,and M1 macrophages.In vitro experiments demonstrated that silencing NCAPD2 suppressed LUAD cell proliferation,migration,invasion,epithelial-mesenchymal transition(EMT),and cell cycle progression.Conclusions:In summary,NCAPD2 may represent a promising prognostic biomarker and novel therapeutic target for LUAD.
基金Central Fundamental Research Fund for Universities(No.2662020DKPY013)Thirteenth Five-Year Plan Key R&D Program(No.2016YFD0501208)Innovation and Entrepreneurship Training Program for College Students in Hubei Province(S202110504039).
文摘Broiler ascites syndrome(AS)is one of the main diseases threatening the health of broilers.It is well documented that myocardial hypertrophy and failure is one of the key mechanisms of broiler ascites syndrome.Therefore,prevention of cardiac hypertrophy and failure would be one goal to reduce broiler ascites syndrome incidence.Myocardial hyper-trophy and failure are closely related to endoplasmic reticulum stress(ERS)in cardiac myocytes,and the endoplasmic reticulum stress signaling system(ATF6-DR5)is one of the important pathways of myocardial apoptosis.Excessive hyper-trophy will affect the heart muscle's normal contraction and diastole function,and the heart will turn from compen-sated to decompensate thus causing myocardial injury.Myocardial apoptosis is a core component of the pathological changes of this myocardial injury.Nano-selenium is a kind of red elemental selenium nanoparticle.Due to its excellent physical,chemical and biological properties,it has attracted extensive academic attention in recent years.It has been proven to have excellent antioxidant,antibacterial,antitumor,antihypertrophic,and antiapoptotic abilties.Herein,nano-selenium(1μmol/L)can inhibit hydrogen peroxide(H_(2)O_(2))-induced oxidative stress in broiler primary cardiomyocytes,and at the same time reduce cardiomyocyte apoptosis.In vivo,nano-selenium can reduce broiler myocardial injury-related enzyme indicators(AST,CK and LDH),and alleviate myocardial injury.It can also activate the antioxidant enzyme system(SOD,GSH-Px and CAT)and reduce MDA,and make the recovery ofT-AOC ability in the organization.Meanwhile,nano-selenium can down-regulate the genes and proteins expression of ATF-6,GRP-78,CHOP and caspase 12 in the ERS-related signaling pathway,and inhibit that of downstream-related caspase 3,Bax and caspase 9,and increase that of the downstream anti-apoptotic Bcl-2,thereby maintaining the homeostasis of the endoplasmic reticulum and alleviating cardiomyocyte apoptosis.It can be seen that nano-selenium can protect the damaged myocardium in the broiler ascites caused by high-salt drinking by regulating the ATF6-DR5 signaling pathway.This study was performed in chickens and cardiomyocyte cells and attempted to demonstrate that selenium nanoparticles can protect the damaged myocar-dium in broiler ascites.This paper provides a new idea for preventing and treating broiler ascites syndrome.
基金funded by the National Key R&D Program of China(No.2018YFC1602102)。
文摘Objective:Heavy metal and harmful element contamination are frequently reported in Chinese herbal medicines(CHMs),and roots and rhizomes parts showed a higher content than other parts.To investigate the residue level and assess the potential human health risk of heavy metals and harmful elements in roots and rhizomes,720 batches of the sample representing 20 species of herbs from different sources were collected.Methods:The content of Pb,Cd,As,Hg,and Cu in the digests was determined using ICP-MS.The chronic hazard index estimate based on non-cancer hazard quotient(HQ)was applied for potential health risk assessment of Pb,Cd,As,Hg,and Cu via consumption of CHMs.Results:Compared with the Chinese limit standard(Chinese Pharmacopoeia Commission,2020 edition)of Pb,Cd,As,Hg,and Cu in Ginseng Radix et Rhizoma,the exceedance percentage of Pb in total samples was 14.1%,which were generally far higher than Cd,As,Hg,and Cu.Health risk assessment results based on hazard quotient calculating showed that total HQ of Cu,Pb,As,Cd,and Hg in Pulsatillae Radix and Clematidis Radix et Rhizoma exceeded 1,with the value of 1.543 and 1.235.Besides,Arsenic had the highest HQ value(0.957)in Pulsatillae Radix.Conclusion:Consuming raw materials of Pulsatillae Radix and Clematidis Radix et Rhizoma may pose a potential risk and Arsenic residues in Pulsatillae Radix deserved special attention.
文摘Online demand prediction plays an important role in transport network services from operations,controls to management,and information provision.However,the online prediction models are impacted by streaming data quality issues with noise measurements and missing data.To address these,we develop a robust prediction method for online network-level demand prediction in public transport.It consists of a PCA method to extract eigen demand images and an optimization-based pattern recognition model to predict the weights of eigen demand images by making use of the partially observed real-time data up to the prediction time in a day.The prediction model is robust to data quality issues given that the eigen demand images are stable and the predicted weights of them are optimized using the network level data(less impacted by local data quality issues).In the case study,we validate the accuracy and transferability of the model by comparing it with benchmark models and evaluate the robustness in tolerating data quality issues of the proposed model.The experimental results demonstrate that the proposed Pattern Recognition Prediction based on PCA(PRP-PCA)consistently outperforms other benchmark models in accuracy and transferability.Moreover,the model shows high robustness in accommodating data quality issues.For example,the PRP-PCA model is robust to missing data up to 50%regardless of the noise level.We also discuss the hidden patterns behind the network level demand.The visualization analysis shows that eigen demand images are significantly connected to the network structure and station activity variabilities.Though the demand changes dramatically before and after the pandemic,the eigen demand images are consistent over time in Stockholm.
