Chinese Journal of Tissue Engineering Research ›› 2014, Vol. 18 ›› Issue (51): 8337-8345.doi: 10.3969/j.issn.2095-4344.2014.51.026

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Bioinformatics analysis of differential genes correlated with blood stasis syndrome of coronary heart disease

Zheng Jing-hui1, Yuan Zhao-kai2, Zhang Min-zhou1, Li Jie2, Wang Li-ping3, Ning Gui-lan4, Sun Gui-xiang2, Jian Wei-xiong2, Huang Xian-ping2, Liu Ji-yong2   

  1. 1ICU of Second Hospital Affiliated to Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong Province, China; 2Institute of TCM Diagnosis, Hunan University of Chinese Medicine, Changsha 410007, Hunan Province, China; 3Hunan University of Medicine, Huaihua 418000, Hunan Province, China; 4Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning 530011, Guangxi Zhuang Autonomous Region, China
  • Online:2014-12-10 Published:2014-12-10
  • About author:Zheng Jing-hui, M.D., Associate professor, ICU of Second Hospital Affiliated to Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong Province, China
  • Supported by:

    the National Natural Science Foundation of China for the Youth, No. 81102595; China Postdoctoral Foundation, No. 2014T70800; the Natural Science Foundation of Guangxi Zhuang Autonomous Region, No. 2012GXNSFAA053113; the Special Project of Traditional Chinese Medicine of the Health Department of Guangxi Zhuang Autonomous Region, No. GZPT1219; the Self-Financing Scientific Research Project of the Health Department of Guangxi Zhuang Autonomous Region, No. Z2012181

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Abstract:

BACKGROUND: Previous findings on clinical epidemiology and molecular epidemiology have shown that blood stasis syndrome of coronary heart disease has a certain familial aggregation tendency, and its related differential genes are closely associated with inflammation, plaque formation and vascular endothelial damage.
OBJECTIVE: To analysis the bioinformatics of differential genes correlated with blood stasis syndrome of coronary heart disease.
METHODS: Based on the epidemiological survey, differential genes related to blood stasis syndrome of coronary heart disease were identified using gene chip technology. The latest versions of bioinformatics tools including DAVID, GO were combined to assign a precise function to differential genes correlated with coronary heart disease; KEGG, BIOCARTA and BBIOD were used to analyze the signaling pathway; VISANT and DIP to retrieve precise protein-protein interactions.
RESULTS AND CONCLUSION: Differential genes were mainly involved in 43 biological processes, 3 cellular components, and 6 molecular functions. These proteins mainly participated in 10 signal transduction pathways, and interacted in many ways. There were 189 nods and 5 path mappings, and overall 29 nod functions were observed. The functions, signal transduction pathways and interactions of differential genes related to blood stasis syndrome of coronary heart disease are mainly reflected in inflammatory response, immune response, cytokine chemotaxis and cell proliferation. Genome bioinformatics technology can make predictions of TCM syndromes from a “holistic view”, and this technology further combined with molecular biology validation is a very good way in the modernization of Chinese medicine.



中国组织工程研究杂志出版内容重点：组织构建；骨细胞；软骨细胞；细胞培养；成纤维细胞；血管内皮细胞；骨质疏松；组织工程


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Key words: heart diseases, atherosclerosis, genomics

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