Baker Valerie A, Harries Helen M, Waring Jeff F, Duggan Colette M, Ni Hong A, Jolly Robert A, Yoon Lawrence W, De Souza Angus T, Schmid Judith E, Brown Roger H, Ulrich Roger G, Rockett John C
Safety and Environmental Assurance Centre, Unilever Research Colworth, Sharnbrook, Bedfordshire, United Kingdom.
Environ Health Perspect. 2004 Mar;112(4):428-38. doi: 10.1289/ehp.6677.
Microarrays have the potential to significantly impact our ability to identify toxic hazards by the identification of mechanistically relevant markers of toxicity. To be useful for risk assessment, however, microarray data must be challenged to determine reliability and interlaboratory reproducibility. As part of a series of studies conducted by the International Life Sciences Institute Health and Environmental Science Institute Technical Committee on the Application of Genomics to Mechanism-Based Risk Assessment, the biological response in rats to the hepatotoxin clofibrate was investigated. Animals were treated with high (250 mg/kg/day) or low (25 mg/kg/day) doses for 1, 3, or 7 days in two laboratories. Clinical chemistry parameters were measured, livers removed for histopathological assessment, and gene expression analysis was conducted using cDNA arrays. Expression changes in genes involved in fatty acid metabolism (e.g., acyl-CoA oxidase), cell proliferation (e.g., topoisomerase II-Alpha), and fatty acid oxidation (e.g., cytochrome P450 4A1), consistent with the mechanism of clofibrate hepatotoxicity, were detected. Observed differences in gene expression levels correlated with the level of biological response induced in the two in vivo studies. Generally, there was a high level of concordance between the gene expression profiles generated from pooled and individual RNA samples. Quantitative real-time polymerase chain reaction was used to confirm modulations for a number of peroxisome proliferator marker genes. Though the results indicate some variability in the quantitative nature of the microarray data, this appears due largely to differences in experimental and data analysis procedures used within each laboratory. In summary, this study demonstrates the potential for gene expression profiling to identify toxic hazards by the identification of mechanistically relevant markers of toxicity.
微阵列技术有潜力通过识别与毒性机制相关的标志物,显著影响我们识别有毒危害的能力。然而,为了用于风险评估,微阵列数据必须经过验证以确定其可靠性和实验室间的可重复性。作为国际生命科学研究所健康与环境科学研究所基因组学在基于机制的风险评估中的应用技术委员会开展的一系列研究的一部分,对大鼠肝脏毒素氯贝丁酯的生物学反应进行了研究。在两个实验室中,动物分别接受高剂量(250毫克/千克/天)或低剂量(25毫克/千克/天)的氯贝丁酯处理1、3或7天。测量临床化学参数,取出肝脏进行组织病理学评估,并使用cDNA阵列进行基因表达分析。检测到参与脂肪酸代谢(如酰基辅酶A氧化酶)、细胞增殖(如拓扑异构酶II-α)和脂肪酸氧化(如细胞色素P450 4A1)的基因表达变化,这些变化与氯贝丁酯肝毒性机制一致。在两项体内研究中观察到的基因表达水平差异与诱导的生物学反应水平相关。总体而言,从混合RNA样本和单个RNA样本生成的基因表达谱之间具有高度一致性。使用定量实时聚合酶链反应来确认一些过氧化物酶体增殖物标记基因的调控。尽管结果表明微阵列数据在定量性质上存在一些变异性,但这似乎主要是由于每个实验室使用的实验和数据分析程序不同所致。总之,本研究证明了基因表达谱通过识别与毒性机制相关的标志物来识别有毒危害的潜力。