Kramer Jeffrey A, Pettit Syril D, Amin Rupesh P, Bertram Timothy A, Car Bruce, Cunningham Michael, Curtiss Sandra W, Davis John W, Kind Clive, Lawton Michael, Naciff Jorge M, Oreffo Victor, Roman Richard J, Sistare Frank D, Stevens James, Thompson Karol, Vickers Alison E, Wild Stacey, Afshari Cynthia A
Pfizer Inc, St. Louis, Missouri, USA.
Environ Health Perspect. 2004 Mar;112(4):460-4. doi: 10.1289/ehp.6673.
Microarrays allow for the simultaneous measurement of changes in the levels of thousands of messenger RNAs within a single experiment. As such, the potential for the application of transcription profiling to preclinical safety assessment and mechanism-based risk assessment is profound. However, several practical and technical challenges remain. Among these are nomenclature issues, platform-specific data formats, and the lack of uniform analysis methods and tools. Experiments were designed to address biological, technical, and methodological variability, to evaluate different approaches to data analysis, and to understand the application of the technology to other profiling methodologies and to mechanism-based risk assessment. These goals were addressed using experimental information derived from analysis of the biological response to three mechanistically distinct nephrotoxins: cisplatin, gentamicin, and puromycin aminonucleoside. In spite of the technical challenges, the transcription profiling data yielded mechanistically and topographically valuable information. The analyses detailed in the articles from the Nephrotoxicity Working Group of the International Life Sciences Institute Health and Environmental Sciences Institute suggest at least equal sensitivity of microarray technology compared to traditional end points. Additionally, microarray analysis of these prototypical nephrotoxicants provided an opportunity for the development of candidate bridging biomarkers of nephrotoxicity. The potential future extension of these applications for risk assessment is also discussed.
微阵列技术能够在单个实验中同时测量数千种信使核糖核酸水平的变化。因此,转录谱分析在临床前安全性评估和基于机制的风险评估中的应用潜力巨大。然而,仍存在一些实际和技术挑战。其中包括命名问题、特定平台的数据格式,以及缺乏统一的分析方法和工具。开展了一些实验,以解决生物学、技术和方法学上的变异性问题,评估不同的数据分析方法,并了解该技术在其他谱分析方法以及基于机制的风险评估中的应用。这些目标是通过分析对三种机制不同的肾毒素(顺铂、庆大霉素和嘌呤霉素氨基核苷)的生物学反应所获得的实验信息来实现的。尽管存在技术挑战,但转录谱分析数据产生了具有机制和拓扑学价值的信息。国际生命科学研究所健康与环境科学研究所肾毒性工作组文章中详细阐述的分析表明,微阵列技术与传统终点相比至少具有同等的敏感性。此外,对这些典型肾毒物的微阵列分析为开发肾毒性候选桥接生物标志物提供了机会。还讨论了这些应用在未来风险评估中的潜在扩展。