Cell-Type Specific Gene Expression Signature in Liver Underlies Response to Interferon Therapy in Chronic Hepatitis C Infection

被引:88
作者
Chen, Limin [1 ,2 ]
Borozan, Ivan [1 ]
Sun, Jing [1 ]
Guindi, Maha [3 ]
Fischer, Sandra [3 ]
Feld, Jordan [4 ]
Anand, Nitasha [4 ]
Heathcote, Jenny [4 ]
Edwards, Aled M. [1 ,2 ,5 ]
McGilvray, Ian D. [4 ,6 ]
机构
[1] Univ Toronto, Banting & Best Dept Med Res, Toronto, ON, Canada
[2] Univ Toronto, Dept Mol Genet, Toronto, ON, Canada
[3] Univ Toronto, Dept Pathol, Toronto, ON, Canada
[4] Univ Toronto, Dept Med, Toronto, ON, Canada
[5] Univ Toronto, Dept Med Biophys, Toronto, ON, Canada
[6] Univ Toronto, Dept Surg, Toronto, ON, Canada
基金
加拿大健康研究院;
关键词
HCV Response Signature; Gene Expression Profiling; Prospective Validation; Multivariate Analysis; RIBAVIRIN COMBINATION THERAPY; PLUS RIBAVIRIN; AFRICAN-AMERICANS; HCV; PREDICT; RECEPTOR; PROTEIN; PEGINTERFERON-ALPHA-2A; MECHANISM; MONOCYTES;
D O I
10.1053/j.gastro.2009.10.046
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
BACKGROUND & AIMS: Chronic hepatitis C virus (CHC) infection is treated with interferon/ribavirin, but only a subset of patients respond. Treatment nonresponders have marked pretreatment up-regulation of a subset of interferon stimulated genes (ISGs) in their livers, including ISG15. We here study how the nonresponder gene expression phenotype is influenced by clinical factors and uncover the cellular basis of the phenotype through ISG15 protein expression. METHODS: Seventy-eight CHC patients undergoing treatment were classified by clinical (gender, viral genotype, viral load, treatment outcome) and histologic (inflammation, fibrosis) factors and subjected to gene expression profiling on their pretreatment liver biopsies. An analysis of variance model was used to study the influence of individual factors on gene expression. ISG15 immunohistochemistry was performed on a subset of 31 liver biopsy specimens. RESULTS: One hundred twenty-three genes were differentially expressed in the 78 CHC livers when compared with 20 normal livers (P < .001; fold change, >= 1.5-fold). Of genes influenced by a single factor, genotype (1 vs 2/3) influenced more genes (17) than any other variable; when treatment outcome was included in the analysis, this became the predominant influence (24 genes), and the effect of genotype was diminished. Treatment response was linked to cell-specific activation patterns: ISG15 protein up-regulation was more pronounced in hepatocytes in treatment nonresponders but in Kuppfer cells in responders. CONCLUSIONS: Genotype is a surrogate marker for the nonresponder phenotype. This phenotype manifests as differential gene expression and is driven by activation of different cell types: hepatocytes in treatment nonresponders and macrophages in treatment responders.
引用
收藏
页码:1123 / U415
页数:14
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