Study on the biological basis of hypertension and syndrome with liver-fire hyperactivity based on data mining technology

Abstract

Objective: To construct gene co-occurrence network of hypertension and liver-fire hyperactivity syndrome, to investigate the biological basis of hypertension and liver-fire hyperactivity syndrome and the characteristics of the molecular network from gene level. Materials and Methods: Applying GenCLip 2.0 online platform to retrieve the up-to-date literature referred to essential hypertension from PubMed database, cluster the abnormal expression of essential hypertension-related genes and analyze their function, combining Kyoto encyclopedia of genes and genomes-pathway analysis to investigate the closely related genes and the signaling molecules. Based on the genes closely related to hypertension, standard diagnostic symptoms of liver-fire hyperactivity were used as keywords to conduct hypertension liver-fire hyperactivity-related gene cluster analysis. Results: The top 1000 genes of essential hypertension were retrieved from GenCLip 2.0 online platform, which mainly clustered in the regulation of ambulatory blood pressure, regulation of renin-angiotensin-aldosterone system (RAAS), and sympathetic nervous system activity, as well as endothelial dysfunction; the closely related genes of hypertension with liver-fire hyperactivity are related to RAAS, gene REN, angiotensin converting enzyme, angiotensinogen, and cytochrome P450 family CYP2D6. Conclusion: A combination of literature mining and data mining can construct the gene network of hypertension and the syndrome-related genes, which provides a new method for the study of the biological basis of hypertension from the genetic level.

Keywords

• Biological basis
• data mining
• essential hypertension
• gene chip
• liver-fire hyperactivity syndrome