Transition metal-carbonate interfaces often act as active sites in heterogeneous catalytic reactions.The interface between transition metal and metal carbonate exhibits a dynamic equilibrium during the CO_(2)hydrogena...Transition metal-carbonate interfaces often act as active sites in heterogeneous catalytic reactions.The interface between transition metal and metal carbonate exhibits a dynamic equilibrium during the CO_(2)hydrogenation reaction,involving surface carbonate hydrogenation and CO_(2)chemisorption.Nonetheless,there have been few reports on engineering the activity of the interface between transition metal and alkaline earth metal carbonate for catalytic CO_(2)conversion.This work demonstrated that the incorporation of CaH_(2)in Ni/CaCO_(3)enhances the CO_(2)methanation activity of the catalysts.The CO_(2)conversion for Ni/CaH_(2)-CaCO_(3)reached 68.5%at 400°C,which was much higher than that of the Ni/CaCO_(3)(31.6%) and Ni/CaH_(2)-CaO (42.4%) catalysts.Furthermore,the Ni/CaH_(2)-CaCO_(3)catalysts remained stable during the stability test for 24 h at 400°C and 8 bar.Our research revealed that CaH_(2)played a crucial role in promoting the activity of the Ni-carbonate interface for CO_(2)methanation.CaH_(2)could modify the electronic structure of Ni and tune the structural properties of CaCO_(3)to generate medium basic sites (OH groups),which are favorable for the activation of H2and CO_(2).In-situ Fourier transform infrared spectroscopy (FTIR) analysis combined with density functional theory calculations demonstrated that CO_(2)activation occurs at the hydroxyl group (OH) on the CaH_(2)-modified Ni-carbonate surface,leading to the formation of CO_(3)H*species.Furthermore,our study has confirmed that CO_(2)methanation over the Ni/CaH_(2)-CaCO_(3)catalysts proceeds via the formate pathway.展开更多
BACKGROUND:Endothelial dysfunction in sepsis is a pathophysiological feature of septic organ failure.Endothelial cells(ECs)exhibit specific metabolic traits and release metabolites to adapt to the septic state in the ...BACKGROUND:Endothelial dysfunction in sepsis is a pathophysiological feature of septic organ failure.Endothelial cells(ECs)exhibit specific metabolic traits and release metabolites to adapt to the septic state in the blood to maintain vascular homeostasis.METHODS:Web of Science and PubMed were searched from inception to October 1,2022.The search was limited to the English language only.Two reviewers independently identified studies related to EC metabolism in sepsis.The exclusion criteria were duplicate articles according to multiple search criteria.RESULTS:Sixty articles were included,and most of them were cell and animal studies.These studies reported the role of glycolysis,oxidative phosphorylation,fatty acid metabolism,and amino acid metabolism in EC homeostasis.including glycolysis,oxidative phosphorylation,fatty acid metabolism and amino acid metabolism.However,dysregulation of EC metabolism can contribute to sepsis progression.CONCLUSION:There are few clinical studies on EC metabolism in sepsis.Related research mainly focuses on basic research,but some scientific problems have also been clarified.Therefore,this review may provide an overall comprehension and novel aspects of EC metabolism in sepsis.展开更多
To the Editor:Chest pain is one of the most common complaints for patients attending emergency departments(EDs)globally.It is important to accurately stratify risk of possible acute coronary syndrome(ACS)for these pat...To the Editor:Chest pain is one of the most common complaints for patients attending emergency departments(EDs)globally.It is important to accurately stratify risk of possible acute coronary syndrome(ACS)for these patients.[1]Several risk stratification scores such as thrombolysis in myocardial infarction(TIMI),global registry for acute coronary events(GRACE),Banach and HEART are helpful.[2]Previous research in our setting compared these four scores and found that the HEART score,with a C-statistic of 0.731,was the best for predicting 7-day major adverse cardiac events(MACE)The purpose of this study was to develop risk stratification prediction models for 7-day MACE in patients with chest pain,utilizing machine learning algorithms such as eXtreme Gradient Boosting(XGBoost),Support Vector Machine(SVM).展开更多
基金National Natural Science Foundation of China (Nos. 22371244 and 21573192)Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX22_3463)。
文摘Transition metal-carbonate interfaces often act as active sites in heterogeneous catalytic reactions.The interface between transition metal and metal carbonate exhibits a dynamic equilibrium during the CO_(2)hydrogenation reaction,involving surface carbonate hydrogenation and CO_(2)chemisorption.Nonetheless,there have been few reports on engineering the activity of the interface between transition metal and alkaline earth metal carbonate for catalytic CO_(2)conversion.This work demonstrated that the incorporation of CaH_(2)in Ni/CaCO_(3)enhances the CO_(2)methanation activity of the catalysts.The CO_(2)conversion for Ni/CaH_(2)-CaCO_(3)reached 68.5%at 400°C,which was much higher than that of the Ni/CaCO_(3)(31.6%) and Ni/CaH_(2)-CaO (42.4%) catalysts.Furthermore,the Ni/CaH_(2)-CaCO_(3)catalysts remained stable during the stability test for 24 h at 400°C and 8 bar.Our research revealed that CaH_(2)played a crucial role in promoting the activity of the Ni-carbonate interface for CO_(2)methanation.CaH_(2)could modify the electronic structure of Ni and tune the structural properties of CaCO_(3)to generate medium basic sites (OH groups),which are favorable for the activation of H2and CO_(2).In-situ Fourier transform infrared spectroscopy (FTIR) analysis combined with density functional theory calculations demonstrated that CO_(2)activation occurs at the hydroxyl group (OH) on the CaH_(2)-modified Ni-carbonate surface,leading to the formation of CO_(3)H*species.Furthermore,our study has confirmed that CO_(2)methanation over the Ni/CaH_(2)-CaCO_(3)catalysts proceeds via the formate pathway.
基金supported by the National Natural Science Foundation of China(82272236)Key Emergency Medical Disciplines and Specialities Program of Guangzhou(2021-2023)。
文摘BACKGROUND:Endothelial dysfunction in sepsis is a pathophysiological feature of septic organ failure.Endothelial cells(ECs)exhibit specific metabolic traits and release metabolites to adapt to the septic state in the blood to maintain vascular homeostasis.METHODS:Web of Science and PubMed were searched from inception to October 1,2022.The search was limited to the English language only.Two reviewers independently identified studies related to EC metabolism in sepsis.The exclusion criteria were duplicate articles according to multiple search criteria.RESULTS:Sixty articles were included,and most of them were cell and animal studies.These studies reported the role of glycolysis,oxidative phosphorylation,fatty acid metabolism,and amino acid metabolism in EC homeostasis.including glycolysis,oxidative phosphorylation,fatty acid metabolism and amino acid metabolism.However,dysregulation of EC metabolism can contribute to sepsis progression.CONCLUSION:There are few clinical studies on EC metabolism in sepsis.Related research mainly focuses on basic research,but some scientific problems have also been clarified.Therefore,this review may provide an overall comprehension and novel aspects of EC metabolism in sepsis.
基金supported by grants from the Scientific Research Project of the Guangzhou Education Bureau(No.1201610645)the Key Medical Disciplines and Specialties Program of Guangzhou.
文摘To the Editor:Chest pain is one of the most common complaints for patients attending emergency departments(EDs)globally.It is important to accurately stratify risk of possible acute coronary syndrome(ACS)for these patients.[1]Several risk stratification scores such as thrombolysis in myocardial infarction(TIMI),global registry for acute coronary events(GRACE),Banach and HEART are helpful.[2]Previous research in our setting compared these four scores and found that the HEART score,with a C-statistic of 0.731,was the best for predicting 7-day major adverse cardiac events(MACE)The purpose of this study was to develop risk stratification prediction models for 7-day MACE in patients with chest pain,utilizing machine learning algorithms such as eXtreme Gradient Boosting(XGBoost),Support Vector Machine(SVM).
