1.Research progress in roles of AGE-RAGE axis in occurrence and development of metabolism-related diseases and its intervention
Cuimei ZHAO ; Yajing WU ; Yingran LI ; Xiuzhen LONG ; Xun ZHOU ; Wenyuan ZHANG
Chinese Journal of Pharmacology and Toxicology 2024;38(12):952-958
Metabolism-related diseases are chronic diseases caused by genetic and environmental factors.The symptoms include insulin resistance,abnormal blood glucose and lipid levels,and elevated blood pressure.This type of illness has become a major threat to human health,and there is an urgent need to find effective treatments.Advanced glycation end products (AGE) are a group of complex and heterogeneous compounds that result from reduced interactions between the carbonyl groups of sugar and the free amino groups of proteins,lipids,and nucleic acids.Increasing evidence shows that AGE and its receptor (RAGE) are involved in the occurrence and development of such metabolism-related diseases as hypertension,diabetes,and atherosclerosis.AGE can have adverse effects on tissues through non-receptor and receptor-mediated mechanisms.In the receptor-mediated mechanism,AGE interacts with RAGE to increase the production of oxygen free radicals and activate NF-κB so that more pro-inflammatory cells are expressed and released,leading to cell damage.This article reviews the research progress in interventions with AGE and RAGE in the treatment of hypertension,diabetes,and atherosclerosis from a metabolic perspective in the hope of exploring the potential of AGE and RAGE as therapeutic targets for metabolism-related diseases.
2.Research progress in roles of AGE-RAGE axis in occurrence and development of metabolism-related diseases and its intervention
Cuimei ZHAO ; Yajing WU ; Yingran LI ; Xiuzhen LONG ; Xun ZHOU ; Wenyuan ZHANG
Chinese Journal of Pharmacology and Toxicology 2024;38(12):952-958
Metabolism-related diseases are chronic diseases caused by genetic and environmental factors.The symptoms include insulin resistance,abnormal blood glucose and lipid levels,and elevated blood pressure.This type of illness has become a major threat to human health,and there is an urgent need to find effective treatments.Advanced glycation end products (AGE) are a group of complex and heterogeneous compounds that result from reduced interactions between the carbonyl groups of sugar and the free amino groups of proteins,lipids,and nucleic acids.Increasing evidence shows that AGE and its receptor (RAGE) are involved in the occurrence and development of such metabolism-related diseases as hypertension,diabetes,and atherosclerosis.AGE can have adverse effects on tissues through non-receptor and receptor-mediated mechanisms.In the receptor-mediated mechanism,AGE interacts with RAGE to increase the production of oxygen free radicals and activate NF-κB so that more pro-inflammatory cells are expressed and released,leading to cell damage.This article reviews the research progress in interventions with AGE and RAGE in the treatment of hypertension,diabetes,and atherosclerosis from a metabolic perspective in the hope of exploring the potential of AGE and RAGE as therapeutic targets for metabolism-related diseases.
3.Nonlinear analysis on the EEG information of rat epileptic model.
Minguang XU ; Kaiping LONG ; Zhong JIAN ; Xiuzhen DONG ; Jiqing YANG ; Sheng HAN ; Wen JIANG
Journal of Biomedical Engineering 2003;20(3):511-514
The aim of this study was to develop a new method of epileptic prediction using nonlinear dynamic theory. When rat was falling sickness, its EEG was researched by using approximate entropy and correlation dimension. The results showed the approximate entropy and correlation dimension during epileptic seizure are obviously lower than those before seizure and after seizure. The span of time before seizure is a special phase. Before the seizure symptom appeared, the complexity of EEG had begun declining. Thus, the outbreak of epilepsy could be predicted in short time using nonlinear dynamic methods.
Algorithms
;
Animals
;
Disease Models, Animal
;
Electroencephalography
;
Entropy
;
Epilepsy
;
diagnosis
;
physiopathology
;
Male
;
Nonlinear Dynamics
;
Rats
;
Rats, Sprague-Dawley
;
Signal Processing, Computer-Assisted

Result Analysis
Print
Save
E-mail