Furuta Keiko, Sato Sayaka, Yamauchi Taeko, Ozawa Takuya, Harada Manabu, Kakumu Shinichi
Department of Internal Medicine, Division of Gastroenterology, Aichi Medical University School of Medicine, Aichi-gun, Japan.
J Gastroenterol. 2008;43(11):866-74. doi: 10.1007/s00535-008-2237-y. Epub 2008 Nov 18.
DNA microarray technology has enabled genomewide analysis of gene transcript levels, yielding insight into the molecular nature of liver disease.
We compared gene expression of liver biopsy specimens in 16 patients with different stages of chronic hepatitis B, five with autoimmune hepatitis (AIH), five with primary biliary cirrhosis (PBC), and six with druginduced hepatitis.
Of 21 073 genes, 424 showed different expression in a particular disease group on analysis of variance. Genes associated with extracellular matrix, cell growth, and DNA repair were noted in the advanced fibrotic stage of chronic hepatitis B (B-3), while gene expression regarding complement activation and the innate immune response decreased. When we compared gene expression at the relatively early stage in each disease group with pathway analysis, pathways relating to chemotaxis and cell homeostasis were selected in chronic hepatitis B. In PBC, gene expression relating to structural constituents and contractions of muscle such as actin and myosin were enhanced, in contrast to the downregulation of genes relating to protein binding in AIH. A hierarchical clustering analysis of hepatitis B genes defined five clusters. Generally, the transcripts upregulated according to disease progression were associated with signaling pathway/transcription, including tumor-associated calcium signal transducer 1 and chemokine ligand 19, and with cell communication, such as collagen. In two groups, all transcripts were downregulated; transcripts related to chemokine ligands and metallothionein were further depressed in B-3.
Analysis of gene expression in liver may be useful for understanding features of distinct liver diseases and for guiding disease progression, particularly in chronic hepatitis B.
DNA微阵列技术已能够对基因转录水平进行全基因组分析,从而深入了解肝脏疾病的分子本质。
我们比较了16例不同阶段慢性乙型肝炎患者、5例自身免疫性肝炎(AIH)患者、5例原发性胆汁性肝硬化(PBC)患者以及6例药物性肝炎患者肝活检标本的基因表达。
在21073个基因中,经方差分析,有424个基因在特定疾病组中表现出不同表达。在慢性乙型肝炎的晚期纤维化阶段(B-3),发现了与细胞外基质、细胞生长和DNA修复相关的基因,而与补体激活和固有免疫反应相关的基因表达下降。当我们通过通路分析比较各疾病组相对早期的基因表达时,慢性乙型肝炎中选择了与趋化性和细胞稳态相关的通路。在PBC中,与肌肉结构成分和收缩相关的基因如肌动蛋白和肌球蛋白的表达增强,而在AIH中与蛋白质结合相关的基因则下调。对乙型肝炎基因进行的层次聚类分析确定了五个簇。一般来说,根据疾病进展上调的转录本与信号通路/转录相关,包括肿瘤相关钙信号转导蛋白1和趋化因子配体19,以及与细胞通讯相关,如胶原蛋白。在两组中,所有转录本均下调;在B-3组中,与趋化因子配体和金属硫蛋白相关的转录本进一步降低。
肝脏基因表达分析可能有助于了解不同肝脏疾病的特征并指导疾病进展,尤其是在慢性乙型肝炎中。