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A Novel Approach for a Toxicity Prediction Model of Environmental Pollutants by Using a Quantitative Structure-Activity Relationship Method Based on Toxicogenomics

機(jī)譯：基于毒物基因組學(xué)的定量構(gòu)效關(guān)系法建立環(huán)境污染物毒性預(yù)測(cè)模型的新方法

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The development of automobile emission reduction technologies has decreased dramatically the particle concentration in emissions; however, there is a possibility that unexpected harmful chemicals are formed in emissions due to new technologies and fuels. Therefore, we attempted to develop new and efficient toxicity prediction models for the myriad environmental pollutants including those in automobile emissions. We chose 54 compounds related to engine exhaust and, by use of the DNA microarray, examined their effect on gene expression in human lung cells. We focused on IL-8 as a proinflammatory cytokine and developed a prediction model with quantitative structure-activity relationship (QSAR) for the IL-8 gene expression by using an in silico system. Our results demonstrate that this model showed high accuracy in predicting upregulation of the IL-8 gene. These results suggest that the prediction model with QSAR based on the gene expression from toxicogenomics may have great potential in predictive toxicology of environmental pollutants.
機(jī)譯：汽車減排技術(shù)的發(fā)展已大大降低了排放中的顆粒物濃度。但是，由于新技術(shù)和燃料的使用，排放中可能會(huì)形成意想不到的有害化學(xué)物質(zhì)。因此，我們?cè)噲D為包括汽車尾氣在內(nèi)的多種環(huán)境污染物開(kāi)發(fā)新的有效的毒性預(yù)測(cè)模型。我們選擇了54種與發(fā)動(dòng)機(jī)排氣有關(guān)的化合物，并通過(guò)使用DNA微陣列檢查了它們對(duì)人肺細(xì)胞基因表達(dá)的影響。我們專注于IL-8作為促炎細(xì)胞因子，并通過(guò)計(jì)算機(jī)系統(tǒng)開(kāi)發(fā)了具有定量結(jié)構(gòu)-活性關(guān)系（QSAR）的IL-8基因表達(dá)預(yù)測(cè)模型。我們的結(jié)果表明，該模型在預(yù)測(cè)IL-8基因的上調(diào)方面顯示出很高的準(zhǔn)確性。這些結(jié)果表明，基于毒理基因組學(xué)基因表達(dá)的QSAR預(yù)測(cè)模型在環(huán)境污染物的預(yù)測(cè)毒理學(xué)中可能具有巨大的潛力。

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