Objective To investigate the physical constitution and living habits of 800 hypertensive patients by using the current investigation method, and to further explore the relationship.Methods The TCM constitution types and living habits of 800 hypertensive patients who met the diagnostic criteria of hypertension in outpatient and inpatient department of Shaanxi University of Traditional Chinese Medicine from 2014 to 2015 were studied.Results Hypertension patients showed the highest frequency of mediocre, and partial physical constitutionincluded yin deficiency, yang deficiency, phlegm and dampness, qi stagnation, dampness and heat, special temperament and blood stasis. It showed significant difference among the TCM constitution in the fields of age, gender (χ2 values were 40.273, 56.457, 31.719,P<0.01); the coronary heart disease, cerebrovascular disease and blood pressure control were consistent with the distribution of physical types of population, and the difference was significant (χ2 values were 48.975, 8.321, 6.514,P<0.01). In terms of lifestyle, the differences in physical constitution between different tastes were statistically significant (χ2= 480.403,P<0.05); exercise time and sleep (P<0.05), and the difference was significant (P<0.001) the relationship between yin deficiency and exercise time (P<0.001); phlegm-dampness and exercise time and sleep time (P=0.009,P<0.001,P=0.001); qi stagnation and dietary hobby and sleep time (P<0.001); special temperament and diet and sleep time (P values were 0.001, 0.008, respectively).Conclusions The constitution type of TCM in hypertensive patients is related to sex, age, educational level and previous diseases, and is affected by diet, exercise time and sleep habits

Objective To investigate the distribution of TCM Constitution in hypertensive patients with diabetes mellitus by means of cross-sectional study.Methods A total of 150 hypertension patients from Shaanxi university of traditional Chinese medicine and Xianyang central hospital were selected from year 2014-2015,and were divided into two groups, including 62 patients complicated with diabetes, as the observation group; 88 patients without diabetes, as the control group. The distribution of TCM Constitution in the two groups was compared. Results The proportion of Yi n deficiency constitution, phlegm dampness constitution in the observation group was relatively high,but the proportion of Q i deficiency and Yi n deficiency in the control group was relatively high. Compared with the female patients,the proportion of Yi n deficiency constitution,phlegm dampness constitution and blood stasis constitution of the male patients was higher,while the Qi depression constitution and the proportion of the specific physical constitution were relatively low, and the difference was statistically significant (χ2value were 4.408, 3.723, 3.723, 3.964, 3.893, P value were 0.036, 0.044, 0.044, 0.046, 0.039). The factors like gender, age, BMI, alcohol intake, history of coronary heart disease, diet and taste preference were correlated with the physical types (B value were 1.967, 0.089, 0.017, -0.871, -0.959, -0.014,P<0.01 or P<0.05), and the taste preference and history of coronary heart disease posed a negative correlation with all types of constitution. Conclusions The types of TCM Constitution in hypertensive patients with diabetes are mainly Yi n deficiency and phlegm dampness, and the patients with hypertension are the deficiency of Q i and Yi n deficiency. The gender, age, BMI, alcohol consumption, coronary heart disease, and dietary preferences can influence the physical type of constitution.

【Objective】 To explore the differentially expressed genes in normal prostate and prostate cancer (PCa) tissues based on bioinformatics and screen out potential biomarkers for PCa, so as to provide scientific basis for later clinical medicine. 【Methods】 Three gene chip datasets of GSE55945, GSE46602 and GSE69223 were downloaded from GEO database, and differentially expressed genes (DEGs) were screened by the OmicStudio tools, and protein-protein interaction network (PPI) of DEGs was constructed by STRING. After Cytoscape was imported, CytoHubba plug-in was used to screen the top 30 genes in MCC score as key genes (Hub gene). DAVID was used for GO and KEGG enrichment analysis of Hub gene, and GraphPad Prism software was used to draw ROC curve. GEPIA database was used to verify the key genes, and survival analysis was further carried out. UALCAN was used to verify the correlation between the expression of key genes and Gleason grade of PCa. 【Results】 Three data sets (GSE55945, GSE46602 and GSE69223) obtained 428, 727 and 1285 differentially expressed genes, respectively. The Venn diagram shows that the three datasets contain 105 DEGs. Among 105 PPI networks corresponding to DEGs, the top 30 genes with MCC score were selected as Hub genes. The biological processes involved mainly include the positive regulation of protein kinase B signal, cell differentiation, positive regulation of transcription, negative regulation of transforming growth factor β receptor signaling pathway, positive regulation of cell migration, etc. The pathways involved are adhesion plaque, estrogen signaling pathway, etc. ROC curve results showed that the diagnostic ability of 9 genes in 3 data sets was statistically significant, and 9 Hub genes were CAV1, KDR, CAV2, TGFBR1, SLC7A11, GSTM2, GSTM3, GSTM5 and MYO6. Nine Hub genes were verified by GEPIA website, among which CAV1, KDR, CAV2, TGFBR1, GSTM2, GSTM3 and GSTM5 showed low expression in PCa, while SLC7A11 and MYO6 showed high expression in PCa. Survival analysis suggested that high GSTM5 expression prolonged OS in PCa patients. UALCAN results showed that the expression of GSTM5 gene was significantly correlated with Gleason grade, and the expression of GSTM5 gene decreased with the increase of Gleason score. 【Conclusion】 Hub genes CAV1, KDR, CAV2, TGFBR1, GSTM2, GSTM3 and GSTM5 are low expression in PCa, while SLC7A11 and MYO6 are high expression in PCa. GSTM5 gene is related to the survival rate of PCa. The expression of GSTM5 decreased with the increase of Gleason score, which indicated that GSTM5 may be a potential biomarker for PCa.