Establishment of Genomics Based Hepatology

根据本研究的四个对象，对研究结果进行了总结。肝脏疾病基因表达谱综合数据库的构建。利用临床资料构建了肝脏疾病基因表达谱数据库，是目前世界上最大的人类肝脏数据库。肝病分析。采用基因表达序列分析（SAGE）和DNA芯片对慢性乙型肝炎、丙型肝炎、自身免疫性肝炎、原发性胆汁性肝硬化、肝细胞癌的基因表达进行综合分析，为这些疾病的诊断和发病机制的认识提供新发现。开发分析、诊断和治疗肝脏疾病的新方法。利用数据库#1在人类染色体中发现了组织特异性区域。这种方法能够在染色体区域发现组织特异性基因。通过综合基因表达分析，成功预测了肝脏疾病的治疗效果。肝脏异常的检测，不被认为是重要疾病。综合分析伴有或不伴有肥胖的糖尿病肝脏的表达谱。糖尿病性肝脏的基因表达与非糖尿病性肝脏明显不同。此外，与血管生成相关的基因在肝脏中上调，表明糖尿病肝与包括动脉粥样硬化在内的全身并发症直接相关。

Results are summarized according to the four objects of this study.1.Construction of comprehensive gene expression profile database of liver diseases.Data base of gene expression profile of liver diseases were constructed with the clinical information, which is the biggest human liver database in the world.2.Analysis of liver diseases.Comprehensive analysis of gene expression of samples from chronic hepatitis B and C, autoimmune hepatitis, primary biliary cirrhosis, hepatocellular carcinoma were performed using serial analysis of gene expression (SAGE) and DNA chips, and demonstrated new findings on the diagnosis and understanding of the pathogenesis of those diseases.3.Development of new methods for the analysis, diagnosis, and treatment of liver diseases.Tissue specific region was found in the human chromosome by using the database #1. This method enables the discovery of tissue specific gene in the chromosomal region. The efficacy of treatment for liver disease was successfully predicted by the comprehensive gene expression analysis.4.Detection of hepatic abnormality, which is not considered as important diseases.Expression profile of diabetic liver with or without obesity was comprehensively analyzed. Gene expression in the diabetic liver was clearly different from that in non-diabetic liver. Furthermore, genes relating with angiogenesis were up-regulating in the liver, indicating that diabetic liver is directly relating with systemic complication including atherosclerosis.