Unstable angina（UA） is the most dangerous type of Coronary Heart Disease（CHD） to cause more and more mortal and morbid world wide. Identification of biomarkers for UA at the level of proteomics and metabolomics is...Unstable angina（UA） is the most dangerous type of Coronary Heart Disease（CHD） to cause more and more mortal and morbid world wide. Identification of biomarkers for UA at the level of proteomics and metabolomics is a better avenue to understand the inner mechanism of it. Feature selection based data mining method is better suited to identify biomarkers of UA. In this study, we carried out clinical epidemiology to collect plasmas of UA in-patients and controls. Proteomics and metabolomics data were obtained via two-dimensional difference gel electrophoresis and gas chromatography techniques. We presented a novel computational strategy to select biomarkers as few as possible for UA in the two groups of data. Firstly, decision tree was used to select biomarkers for UA and 3-fold cross validation was used to evaluate computational performanees for the three methods. Alternatively, we combined inde- pendent t test and classification based data mining method as well as backward elimination technique to select, as few as possible, protein and metabolite biomarkers with best classification performances. By the method, we selected 6 proteins and 5 metabolites for UA. The novel method presented here provides a better insight into the pathology of a disease.展开更多
The phase diagrams of the Li2MoO4-Na2MoO4 and Na2MoO4-K2MoO4 systems have been reassessed using differential thermal analysis together with high-temperature and room-temperature X-ray diffraction analysis. The results...The phase diagrams of the Li2MoO4-Na2MoO4 and Na2MoO4-K2MoO4 systems have been reassessed using differential thermal analysis together with high-temperature and room-temperature X-ray diffraction analysis. The results showed that the compound Li2MoO4.6Na2MoO4 did not exist; however, it confirmed the existence of the compound Li2MoO4.3Na2MoO4 in the Li2MoO4-Na2MoO4 systen＇ls. With regard to the system of Na2MoO4-K2MoO4, we could not confirm the results reported by Bukhanova who claimed that the system was eutectic type with 1：1 and 1：2 intermediate compounds, refuting the statement of Amadori who thought there was an apparent phase boundary at high temperature in α-solid solution region of the Na2MoO4-K2MoO4 binary system. The revised phase diagrams of these systems are illustrated in this article. These experimental results are in agreement with the computerized prediction using the support vector machine-atomic parameter method for the assessment of phase diagrams.展开更多
The phase diagrams of the Li2MoO4-Na2MoO4 and Na2MoO4-K2MoO4 systems have been reassessed using differential thermal analysis together with high-temperature and room-temperature X-ray diffraction analysis. The results...The phase diagrams of the Li2MoO4-Na2MoO4 and Na2MoO4-K2MoO4 systems have been reassessed using differential thermal analysis together with high-temperature and room-temperature X-ray diffraction analysis. The results showed that the compound Li2MoO4·6Na2MoO4 did not exist; however,it confirmed the existence of the compound Li2MoO4·3Na2MoO4 in the Li2MoO4-Na2MoO4 systems. With regard to the system of Na2MoO4-K2MoO4,we could not confirm the results reported by Bukhanova who claimed that the system was eutectic type with 1∶1 and 1∶2 intermediate compounds,refuting the statement of Amadori who thought there was an apparent phase boundary at high temperature in α-solid solution region of the Na2MoO4-K2MoO4 binary system. The revised phase diagrams of these systems are illustrated in this article. These experimental results are in agreement with the computerized prediction using the support vector machine-atomic parameter method for the assessment of phase diagrams.展开更多
目的:研究有氧运动对2型糖尿病大鼠肾组织转录激活因子3(activators of transcription 3, STAT3)及血管内皮生长因子(vascular endothelial growth factor, VEGF)表达的影响及其机制。方法:健康雄性SD大鼠55只,采用高糖高脂饲料喂养加...目的:研究有氧运动对2型糖尿病大鼠肾组织转录激活因子3(activators of transcription 3, STAT3)及血管内皮生长因子(vascular endothelial growth factor, VEGF)表达的影响及其机制。方法:健康雄性SD大鼠55只,采用高糖高脂饲料喂养加腹腔注射低剂量链脲佐菌素(STZ)制作2型糖尿病大鼠模型。实验分为正常对照组,糖尿病安静组和糖尿病运动组。糖尿病运动组大鼠进行8周的有氧运动,其它两组不进行干预。检测血糖、24 h UA、BUN、Scr的变化;检测肾组织VEGF、STAT3和STAT3 m RNA的表达。结果:与正常对照组相比,糖尿病安静组大鼠血糖、24 h UA、BUN和Scr均显著升高(P<0.05);糖尿病运动组大鼠血糖、24 h UA、BUN和Scr均较糖尿病安静组显著下降(P<0.05)。糖尿病安静组大鼠肾组织VEGF、STAT3和STAT3 m RNA的表达量分别为(0.417±0.121)、(0.527±0.139)和(2.86±0.32),均较正常对照组明显增加(P<0.05);糖尿病运动组大鼠肾组织VEGF、STAT3和STAT3 m RNA的表达量分别为(0.225±0.076)、(0.298±0.082)和(1.74±0.25),均较糖尿病安静组明显减少(P<0.05)。结论:有氧运动对糖尿病所致肾损伤有一定改善作用,其保护机制可能与下调肾组织STAT3 m RNA的表达,使STAT3和VEGF合成减少有关。展开更多
基金Supported by the National Basic Research Program of China(No2011CB505106)the National Natural Science Foundation of China(No30902020)+2 种基金the Foundation of National Department of Public Benefit Research of China(No200807007)the Creation Fund for Significant New Drugs of China(No2009ZX09502-018)the Foundation of International Science and Technology Cooperation of China(No2008DFA30610)
文摘Unstable angina（UA） is the most dangerous type of Coronary Heart Disease（CHD） to cause more and more mortal and morbid world wide. Identification of biomarkers for UA at the level of proteomics and metabolomics is a better avenue to understand the inner mechanism of it. Feature selection based data mining method is better suited to identify biomarkers of UA. In this study, we carried out clinical epidemiology to collect plasmas of UA in-patients and controls. Proteomics and metabolomics data were obtained via two-dimensional difference gel electrophoresis and gas chromatography techniques. We presented a novel computational strategy to select biomarkers as few as possible for UA in the two groups of data. Firstly, decision tree was used to select biomarkers for UA and 3-fold cross validation was used to evaluate computational performanees for the three methods. Alternatively, we combined inde- pendent t test and classification based data mining method as well as backward elimination technique to select, as few as possible, protein and metabolite biomarkers with best classification performances. By the method, we selected 6 proteins and 5 metabolites for UA. The novel method presented here provides a better insight into the pathology of a disease.
基金This work was financially supported by the National Natural Science Foundation of China (No.20373040).
文摘The phase diagrams of the Li2MoO4-Na2MoO4 and Na2MoO4-K2MoO4 systems have been reassessed using differential thermal analysis together with high-temperature and room-temperature X-ray diffraction analysis. The results showed that the compound Li2MoO4.6Na2MoO4 did not exist; however, it confirmed the existence of the compound Li2MoO4.3Na2MoO4 in the Li2MoO4-Na2MoO4 systen＇ls. With regard to the system of Na2MoO4-K2MoO4, we could not confirm the results reported by Bukhanova who claimed that the system was eutectic type with 1：1 and 1：2 intermediate compounds, refuting the statement of Amadori who thought there was an apparent phase boundary at high temperature in α-solid solution region of the Na2MoO4-K2MoO4 binary system. The revised phase diagrams of these systems are illustrated in this article. These experimental results are in agreement with the computerized prediction using the support vector machine-atomic parameter method for the assessment of phase diagrams.
文摘The phase diagrams of the Li2MoO4-Na2MoO4 and Na2MoO4-K2MoO4 systems have been reassessed using differential thermal analysis together with high-temperature and room-temperature X-ray diffraction analysis. The results showed that the compound Li2MoO4·6Na2MoO4 did not exist; however,it confirmed the existence of the compound Li2MoO4·3Na2MoO4 in the Li2MoO4-Na2MoO4 systems. With regard to the system of Na2MoO4-K2MoO4,we could not confirm the results reported by Bukhanova who claimed that the system was eutectic type with 1∶1 and 1∶2 intermediate compounds,refuting the statement of Amadori who thought there was an apparent phase boundary at high temperature in α-solid solution region of the Na2MoO4-K2MoO4 binary system. The revised phase diagrams of these systems are illustrated in this article. These experimental results are in agreement with the computerized prediction using the support vector machine-atomic parameter method for the assessment of phase diagrams.
文摘目的:研究有氧运动对2型糖尿病大鼠肾组织转录激活因子3(activators of transcription 3, STAT3)及血管内皮生长因子(vascular endothelial growth factor, VEGF)表达的影响及其机制。方法:健康雄性SD大鼠55只,采用高糖高脂饲料喂养加腹腔注射低剂量链脲佐菌素(STZ)制作2型糖尿病大鼠模型。实验分为正常对照组,糖尿病安静组和糖尿病运动组。糖尿病运动组大鼠进行8周的有氧运动,其它两组不进行干预。检测血糖、24 h UA、BUN、Scr的变化;检测肾组织VEGF、STAT3和STAT3 m RNA的表达。结果:与正常对照组相比,糖尿病安静组大鼠血糖、24 h UA、BUN和Scr均显著升高(P<0.05);糖尿病运动组大鼠血糖、24 h UA、BUN和Scr均较糖尿病安静组显著下降(P<0.05)。糖尿病安静组大鼠肾组织VEGF、STAT3和STAT3 m RNA的表达量分别为(0.417±0.121)、(0.527±0.139)和(2.86±0.32),均较正常对照组明显增加(P<0.05);糖尿病运动组大鼠肾组织VEGF、STAT3和STAT3 m RNA的表达量分别为(0.225±0.076)、(0.298±0.082)和(1.74±0.25),均较糖尿病安静组明显减少(P<0.05)。结论:有氧运动对糖尿病所致肾损伤有一定改善作用,其保护机制可能与下调肾组织STAT3 m RNA的表达,使STAT3和VEGF合成减少有关。
