差异蛋白基因生物信息学在冠心病血瘀证遗传相关验证中的应用  

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

作　　者：郑景辉 袁肇凯[2] 张敏州 李杰[2] 王丽萍[3] 宁桂兰[4] 孙贵香[2] 简维雄[2] 黄献平[2] 刘吉勇[2] 

机构地区：[1]广州中医药大学第二附属医院重症医学科,广东省广州市510120 [2]湖南中医药大学中医诊断研究所,湖南省长沙市410007 [3]湖南怀化医学高等专科学校,湖南省怀化市418000 [4]广西中医药大学附属瑞康医院,广西壮族自治区南宁市530011

出　　处：《中国组织工程研究》2014年第51期8337-8345,共9页Chinese Journal of Tissue Engineering Research

基　　金：国家自然科学基金青年项目(81102595);中国博士后科学基金特别资助项目(2014T70800);广西自然科学基金课题(2012GXNSFAA053113);广西壮族自治区卫生厅中医药科技专项课题(GZPT1219);广西壮族自治区卫生厅自筹经费科研课题(Z2012181)~~

摘　　要：背景:课题组前期通过临床流行病学和分子流行病学显示冠状动脉粥样硬化性心脏病血瘀证具有一定的家族聚集倾向,发现其相关的差异基因与炎症、斑块形成及血管内皮损伤密切相关。目的:对冠心病血瘀证遗传相关的差异蛋白基因进行生物信息学分析。方法:根据流行病学调查基础上基因芯片技术确定的冠心病血瘀证遗传相关的差异蛋白基因,通过DAVID数据库搜索软件结合GO数据库搜索进行注释和富集度分析;KEGG、BIOCARTA、BBIOD数据库进行信号转导通路分析;VISANT、DIP数据库检索蛋白质相互作用。结果与结论:差异蛋白基因主要参与43种生物学过程、3种细胞组分、6种分子途径,差异蛋白主要参与10条信号转导通路,这些蛋白在多条信号转导通路上相互发生作用,发现节点189个,路径映射5个,节点的功能种类包括29类。冠心病血瘀证患者遗传差异基因的功能、通路以及相互作用主要体现在炎症反应、免疫调节、细胞因子趋化、细胞增殖等方面;冠心病血瘀证在多位点、多环节、多种生物学进程中共同发挥作用的复杂病理反应,基因组学生物信息学技术可以站在"整体观"的角度对中医证候的机制作出预测,结合进一步分子生物学验证是一条很好的中医药现代化途径。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 biotogy vatidation is a very good way in the modernization of Chinese medicine.

关 键 词：心脏病 动脉粥样硬化 基因组学 组织构建 组织工程 冠心病 血瘀证 遗传 生物信息学 国家自然科学基金 

分 类 号：R318[医药卫生—生物医学工程]