ABSTRACT
Objective:Based on the visualization function for gene network disturbance of Matlab platform,data mining method was used to directly observe transcriptonal changes in aorta vessel at short-time hyperglycemia condition.Methods:The information was down loaded from GEO database of NCBI.Using Matlab system to transfer the data set to a computer-readable structure,using data filter to obtain apparent gene expression disturbance profile after short-time hyperglycemia condition.Applying three clustering algorithms,based on DAVID platform to conduct gene ontology (GO) annotation and enrichment analysis in order to calibrate KEGG pathway and to form gene expression profile analysis.Results:Via data set screening,the pattern of gene expression was divided into 9 clusters by special algorithms.GO analysis indicated that obvious gene enrichments were found in acute inflammation reaction gene,myocardium remodeling gene,stabilizing intracellular calcium gene,cell cycle regulation gene,chemotactic effect gene;especially in mucopolysaccharide gene,glycoprotein structure related gene,fat catabolism gene and myofibril related gene.The above findings were identical to previous study.K-means clustering method presented that in hyperglycemia condition,up-regulated genes didn't return to normal level when blood glucose back to normal which mainly including cell cycle regulation gene,myocardium remodeling gene and stabilizing intracellular calcium gene.Conclusion:Our work provided a new explanation of diabetes metabolic memory;short-term hyperglycemia caused arterial damage was irreversible which incurred inefficient hypoglycemic therapy in coronary artery disease patients.
ABSTRACT
Objective:Based on the visualization function for gene network disturbance of Matlab platform,data mining method was used to directly observe transcriptonal changes in aorta vessel at short-time hyperglycemia condition.Methods:The information was down loaded from GEO database of NCBI.Using Matlab system to transfer the data set to a computer-readable structure,using data filter to obtain apparent gene expression disturbance profile after short-time hyperglycemia condition.Applying three clustering algorithms,based on DAVID platform to conduct gene ontology (GO) annotation and enrichment analysis in order to calibrate KEGG pathway and to form gene expression profile analysis.Results:Via data set screening,the pattern of gene expression was divided into 9 clusters by special algorithms.GO analysis indicated that obvious gene enrichments were found in acute inflammation reaction gene,myocardium remodeling gene,stabilizing intracellular calcium gene,cell cycle regulation gene,chemotactic effect gene;especially in mucopolysaccharide gene,glycoprotein structure related gene,fat catabolism gene and myofibril related gene.The above findings were identical to previous study.K-means clustering method presented that in hyperglycemia condition,up-regulated genes didn't return to normal level when blood glucose back to normal which mainly including cell cycle regulation gene,myocardium remodeling gene and stabilizing intracellular calcium gene.Conclusion:Our work provided a new explanation of diabetes metabolic memory;short-term hyperglycemia caused arterial damage was irreversible which incurred inefficient hypoglycemic therapy in coronary artery disease patients.