Advanced glycation end products(AGEs)are a complex and heterogencous group of compounds that have been implicated in diabetes related complfcations.Sk in autofluorescence was recently introduced as an altemative tool ...Advanced glycation end products(AGEs)are a complex and heterogencous group of compounds that have been implicated in diabetes related complfcations.Sk in autofluorescence was recently introduced as an altemative tool for skin AGEs accumulation assessment in diabetes.Sucossful optical diagnosis of diabetes requires a rapid and accurate classification algorithm.In order to improve the performance of noninvasive and optical diagnosis of type 2 diabetes,support vector machines(SVM)algorithm was implemented for the clasification of skin autofluorescence from diabetics and control subjects.Cross-validation and grid optimization methods were employed to calculate the optimal parameters that ma ximize classification accuracy.Classification model was set up according to the training set and then veri fied by the testing set.The results show that radical basis fiunction is the best choice in the four common kernels in SVM.Moreover,a diagnostic accuracy of 82.61%,a sensitivity of 69.57%,and a specificity of 95.65%for discriminating diabetics from control subjects were achieved using a mixed kemel function,which is based on liner kernel function and radical basis function.In comparison with fasting plasma glucose and HbAue test,the clasifcation method of skin autofuorescence spectrum based on SVM shows great potential in screening of diabetes.展开更多
Chiglitazar(Carfloglitazar)is a novel peroxisome proliferator-activated receptor(PPAR)pan-agonist that has shown promising effects on glycemic control and lipid regulation in patients with type 2 diabetes.In this rand...Chiglitazar(Carfloglitazar)is a novel peroxisome proliferator-activated receptor(PPAR)pan-agonist that has shown promising effects on glycemic control and lipid regulation in patients with type 2 diabetes.In this randomized phase 3 trial,we compared the efficacy and safety of chiglitazar with sitagliptin in patients with type 2 diabetes who had insufficient glycemic control despite a strict diet and exercise regimen.Eligible patients were randomized(1:1:1)to receive chiglitazar 32 mg(n=245),chiglitazar 48 mg(n=246),or sitagliptin 100 mg(n=248)once daily for 24 weeks.The primary endpoint was the change in glycosylated hemoglobin A_(1C)(HbA_(1c))from baseline at week 24 with the non-inferiority of chiglitazar over sitagliptin.Both chiglitazar and sitagliptin significantly reduced HbA1c at week 24 with values of-1.40%,-1.47%,and-1.39%for chiglitazar 32 mg,chiglitazar 48 mg,and sitagliptin 100 mg,respectively.Chiglitazar 32 and 48 mg were both non-inferior to sitagliptin 100 mg,with mean differences of-0.04%(95%confidential interval(Cl)-0.22 to 0.15)and-0.08%(95%Cl-0.27 to 0.10),respectively.Compared with sitagliptin,greater reduction in fasting and 2-h postprandial plasma glucose and fasting insulin was observed with chiglitazar.Overall adverse event rates were similar between the groups.A small increase in mild edema in the chiglitazar 48 mg group and slight weight gain in both chiglitazar groups were reported.The overall results demonstrated that chiglitazar possesses good efficacy and safety profile in patients with type 2 diabetes inadequately controlled with lifestyle interventions,thereby providing adequate supporting evidence for using this PPAR pan-agonist as a treatment option for type 2 diabetes.展开更多
基金supported by the Knowledge Innovation Program of the Chinese Academy of Sciences(083RC11124).
文摘Advanced glycation end products(AGEs)are a complex and heterogencous group of compounds that have been implicated in diabetes related complfcations.Sk in autofluorescence was recently introduced as an altemative tool for skin AGEs accumulation assessment in diabetes.Sucossful optical diagnosis of diabetes requires a rapid and accurate classification algorithm.In order to improve the performance of noninvasive and optical diagnosis of type 2 diabetes,support vector machines(SVM)algorithm was implemented for the clasification of skin autofluorescence from diabetics and control subjects.Cross-validation and grid optimization methods were employed to calculate the optimal parameters that ma ximize classification accuracy.Classification model was set up according to the training set and then veri fied by the testing set.The results show that radical basis fiunction is the best choice in the four common kernels in SVM.Moreover,a diagnostic accuracy of 82.61%,a sensitivity of 69.57%,and a specificity of 95.65%for discriminating diabetics from control subjects were achieved using a mixed kemel function,which is based on liner kernel function and radical basis function.In comparison with fasting plasma glucose and HbAue test,the clasifcation method of skin autofuorescence spectrum based on SVM shows great potential in screening of diabetes.
基金the Chinese National and Provincial Major Project for New Drug Innovation(National:2008ZX09101-002,2013ZX09401301Provincial:2011A080501010)Shenzhen Municipal Major Project(2010-1746)。
文摘Chiglitazar(Carfloglitazar)is a novel peroxisome proliferator-activated receptor(PPAR)pan-agonist that has shown promising effects on glycemic control and lipid regulation in patients with type 2 diabetes.In this randomized phase 3 trial,we compared the efficacy and safety of chiglitazar with sitagliptin in patients with type 2 diabetes who had insufficient glycemic control despite a strict diet and exercise regimen.Eligible patients were randomized(1:1:1)to receive chiglitazar 32 mg(n=245),chiglitazar 48 mg(n=246),or sitagliptin 100 mg(n=248)once daily for 24 weeks.The primary endpoint was the change in glycosylated hemoglobin A_(1C)(HbA_(1c))from baseline at week 24 with the non-inferiority of chiglitazar over sitagliptin.Both chiglitazar and sitagliptin significantly reduced HbA1c at week 24 with values of-1.40%,-1.47%,and-1.39%for chiglitazar 32 mg,chiglitazar 48 mg,and sitagliptin 100 mg,respectively.Chiglitazar 32 and 48 mg were both non-inferior to sitagliptin 100 mg,with mean differences of-0.04%(95%confidential interval(Cl)-0.22 to 0.15)and-0.08%(95%Cl-0.27 to 0.10),respectively.Compared with sitagliptin,greater reduction in fasting and 2-h postprandial plasma glucose and fasting insulin was observed with chiglitazar.Overall adverse event rates were similar between the groups.A small increase in mild edema in the chiglitazar 48 mg group and slight weight gain in both chiglitazar groups were reported.The overall results demonstrated that chiglitazar possesses good efficacy and safety profile in patients with type 2 diabetes inadequately controlled with lifestyle interventions,thereby providing adequate supporting evidence for using this PPAR pan-agonist as a treatment option for type 2 diabetes.
