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Development of a pharmaceutical hepatotoxicity biomarker panel using a discovery to targeted proteomics approach

机译:利用针对蛋白质组学的发现方法开发药物肝毒性生物标志物

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There is a pressing and continued need for improved predictive power in preclinical pharmaceutical toxicology assessment as substantial numbers of drugs are still removed from the market, or from late-stage development, because of unanticipated issues of toxicity. In recent years a number of consortia have been formed with a view to integrating -omics molecular profiling strategies to increase the sensitivity and predictive power of preclinical toxicology evaluation. In this study we report on the LC-MS based proteomic analysis of the effects of the hepatotoxic compound EMD 335823 on liver from rats using an integrated discovery to targeted proteomics approach. This compound was one of a larger panel studied by a variety of molecular profiling techniques as part of the InnoMed PredTox Consortium. Label-free LC-MS analysis of hepatotoxicant EMD 335823 treated animals revealed only moderate correlation of individual protein expression with changes in mRNA expression observed by transcriptomic analysis of the same liver samples. Significantly however, analysis of the protein and transcript changes at the pathway level revealed they were in good agreement. This higher level analysis was also consistent with the previously suspected PPARα activity of the compound. Subsequently, a panel of potential biomarkers of liver toxicity was assembled from the label-free LC-MS proteomics discovery data, the previously acquired transcriptomics data and selected candidates identified from the literature. We developed and then deployed optimized selected reaction monitoring assays to undertake multiplexed measurement of 48 putative toxicity biomarkers in liver tissue. The development of the selected reaction monitoring assays was facilitated by the construction of a peptide MS/MS spectral library from pooled control and treated rat liver lysate using peptide fractionation by strong cation exchange and off-gel electrophoresis coupled to LC-MS/MS. After iterative optimization and quality control of the selected reaction monitoring assay panel, quantitative measurements of 48 putative biomarkers in the liver of EMD 335823 treated rats were carried out and this revealed that the panel is highly enriched for proteins modulated significantly on drug treatment/hepatotoxic insult. This proof-of-principle study provides a roadmap for future large scale pre-clinical toxicology biomarker verification studies whereby putative toxicity biomarkers assembled from multiple disparate sources can be evaluated at medium-high throughput by targeted MS.
机译:迫切且持续需要改进临床前药物毒理学评估的预测能力,因为由于毒性未曾预料到的问题,大量药物仍被从市场或后期开发中撤出。近年来,为了整合-omics分子谱分析策略以提高临床前毒理学评估的敏感性和预测能力,已经形成了许多联盟。在这项研究中,我们报道了基于LC-MS的蛋白质组学分析方法,采用了针对蛋白质组学的综合发现方法,对肝脏毒性化合物EMD 335823对大鼠肝脏的影响进行了分析。该化合物是作为InnoMed PredTox联盟的一部分通过各种分子谱分析技术研究的更大的化合物之一。肝毒性EMD 335823处理的动物的无标记LC-MS分析显示,通过对相同肝脏样品进行转录组分析,观察到单个蛋白质表达与mRNA表达变化之间的适度相关性。然而,重要的是,在途径水平上对蛋白质和转录物变化的分析表明它们具有很好的一致性。更高水平的分析也与该化合物先前怀疑的PPARα活性相符。随后,从无标记的LC-MS蛋白质组学发现数据,先前获得的转录组学数据以及从文献中鉴定出的选定候选物,组装了一组潜在的肝毒性生物标志物。我们开发并部署了优化的选定反应监测测定法,以对肝组织中48种假定的毒性生物标记物进行多重测量。通过合并的对照和处理的大鼠肝裂解液,通过强阳离子交换和LC-MS / MS的凝胶外电泳进行肽分级分离,构建了肽MS / MS谱库,从而促进了所选反应监测方法的开发。在对选定的反应监测分析小组进行迭代优化和质量控制后,对EMD 335823处理的大鼠肝脏中的48种假定生物标志物进行了定量测量,这表明该小组富含药物处理/肝毒性损伤后显着调节的蛋白质。 。这项原理验证研究为未来的大规模临床前毒理学生物标志物验证研究提供了路线图,从而可以通过靶向MS以中等高通量评估由多种不同来源组成的推定毒性生物标志物。

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