Candidate genes associated with cold-coagulation or heataccumulation blood stasis syndrome in hypertension

Background:The goal of this study was to predict candidate genes by analyzing the differentially expressed genes of cold-coagulation or heat-accumulation blood stasis syndrome in hypertension by transcriptomes sequencing in human vascular endothelial cells models.Methods:Serum of patients with hypertension were collected to incubate with normal human umbilical vein endothelial cells to establish injured endothelial cell models of cold-coagulation blood stasis syndrome,heat-accumulation blood stasis syndrome and non-blood stasis syndrome.The differentially expressed genes of cold-coagulation blood stasis syndrome or heat-accumulation blood stasis syndrome were screened compared with non-blood stasis syndrome.Gene Ontology,pathway enrichment analyses and PPI network analyses were conducted to get the key genes of cold-coagulation blood stasis syndrome or heataccumulation blood stasis syndrome.Results:The results showed that compared with non-blood stasis syndrome,there were 368 differentially expressed genes in cold-coagulation blood stasis syndrome(275 up-regulated,93 down-regulated),and 271 differentially expressed genes in heat-accumulation blood stasis syndrome(202 upregulated,69 down-regulated).According to the bioinformatics analyses,5 differentially expressed genes were selected as the candidate genes for cold-coagulation blood stasis syndrome(TRIB3,HERPUD1,ERN1,PMAIP1 and XBP1)and 10 differentially expressed genes were selected as the candidate genes for heat-accumulation blood stasis syndrome(PTGS2,SLC3A2,VEGFA,SLC7A5,SLC1A4,SLC7A1,SLC38A1,SLC43A2,HMOX1 and ICAM1).Conclusion:In this study,we predicted the potential key genes associated with cold-coagulation blood stasis syndrome or heat-accumulation blood stasis syndrome in hypertension by transcriptomes sequencing and bioinformatics analyses.It provide an informative basis for studying the role of genes in blood stasis syndrome,and we hope it will be valuable to study blood stasis syndrome in future studies.

Constructing protein-protein interaction network of hypertension with blood stasis syndrome via digital gene expression sequencing and database mining

OBJECTIVE： To construct a protein-protein interaction（PPI） network in hypertension patients with blood-stasis syndrome（BSS） by using digital gene expression（DGE） sequencing and database mining techniques.METHODS： DGE analysis based on the Solexa Genome Analyzer platform was performed on vascular endothelial cells incubated with serum of hypertension patients with BSS. The differentially expressed genes were f iltered by comparing the expression levels between the different experimental groups. Then functional categories and e nriched pathways of the unique genes for BSS were analyzed using Database for Annotation, Visualization and Integrated Discovery（DAVID） to select those in the enrichment pathways. I nterologous Interaction Database（I2D） was used to construct PPI networks with the selected genes for hypertension patients with BSS. The potential candidate genes related to BSS were identif ied by comparing the number of relationships among genes. Confi rmed by quantitative reverse transcription-polymerase chain reaction（q RTPCR）, gene ontology（GO） analysis was used to infer the functional annotations of the potential candidate genes for BSS.RESULTS： With gene enrichment analysis using DAVID, a list of 58 genes was chosen from the unique genes. The selected 58 genes were analyzed using I2 D, and a PPI network was constructed. Based on the network analysis results, candidate genes for BSS were identifi ed：DDIT3, JUN, HSPA8, NFIL3, HSPA5, HIST2H2 BE, H3F3 B, CEBPB, SAT1 and GADD45 A. Verif ied through qRT-PCR and analyzed by GO, the functional annotations of the potential candidate genes were explored.CONCLUSION： Compared with previous methodologies reported in the literature, the present DGE analysis and data mining method have shown a great improvement in analyzing BSS.