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ORIGINAL ARTICLE
Year : 2018  |  Volume : 4  |  Issue : 4  |  Page : 176-180

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


1 School of Nursing, Beijing University of Chinese Medicine (BUCM), Beijing, China
2 School of Management, Beijing University of Chinese Medicine (BUCM), Beijing, China
3 School of TCM, Beijing University of Chinese Medicine (BUCM), Beijing, China
4 Center for Clinical Laboratory Medicine, Chinese PLA General Hospital, Beijing, China

Correspondence Address:
Hui-Hui Zhao
Beijing University of Chinese Medicine (BUCM), 11 Bei San Huan Dong Lu, Chaoyang District, Beijing 100029
China
Wei Wang
Beijing University of Chinese Medicine (BUCM), 11 Bei San Huan Dong Lu, Chaoyang District, Beijing 100029
China
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/wjtcm.wjtcm_23_18

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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.


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