Lu Binbin, Kerepesi Laura, Wisse Lynne, Hitchman Keith, Meng Quanxin Ryan
Batttelle Toxicology Northwest, 902 Battelle Boulevard, PO Box 999, Richland, Washington 99352, USA.
Toxicol Sci. 2007 Aug;98(2):469-78. doi: 10.1093/toxsci/kfm112. Epub 2007 May 10.
The purpose of this study was to evaluate and compare the cytotoxicity and gene expression profiles in cell cultures exposed to whole smoke generated from a full flavor cigarette (Test 1), a low tar cigarette (Test 2), and an ultra-low tar cigarette (Test 3). In addition, a reference cigarette 2R4F was evaluated for cytotoxicity. Neutral red (NR) cytotoxicity assay was performed to determine relative cell death at each exposure concentration (n = 6). LC(50) was generated using wet total particular matter (WTPM), cigarette number, or nicotine concentrations. The overall order of cytotoxicity was Test 1 >> 2R4F approximately Test 2 > Test 3. Cell culture samples were collected for RNA extraction at WTPM concentrations of each cigarette that gave similar nicotine concentrations. Affymetrix mouse whole genome 430 2.0 array was used to characterize the gene expression profiles for each cigarette. A total of 598 genes in Test 1, 176 genes in Test 2, and 234 genes in Test 3 samples were differentially expressed compared to the concurrent sham controls. The major biological processes associated with the changed genes in Test 1 samples were down-regulated DNA replication and cell proliferation; the same biological processes were much less affected in Test 2 and Test 3 samples. The common findings in all three cigarettes types were increased glutathione biosynthesis/consumption and inflammatory response, which are known biological effects caused by smoke exposure. The most significantly up-regulated genes were CYP1A1, GSTs, Hmox1, and Procr in smoke-exposed samples, which are either related to well-studied mechanisms of smoke exposure-related diseases or potential new biomarkers for assessing and monitoring biological effects of cigarette smoke exposure in vivo and in smokers. In summary, both the NR cytotoxicity assay and gene expression profiling were able to differentiate the three types of test cigarettes, and the results demonstrated reduced biological effects for the Test 2 and Test 3 cigarettes compared to the Test 1 cigarette in BALB/c-3T3 Cells.
本研究的目的是评估和比较暴露于全味香烟(试验1)、低焦油香烟(试验2)和超低焦油香烟(试验3)产生的全烟雾的细胞培养物中的细胞毒性和基因表达谱。此外,还评估了参比香烟2R4F的细胞毒性。进行中性红(NR)细胞毒性试验以确定每个暴露浓度下的相对细胞死亡情况(n = 6)。使用湿总颗粒物(WTPM)、香烟数量或尼古丁浓度生成半数致死浓度(LC50)。细胞毒性的总体顺序为试验1 >> 2R4F 约试验2 > 试验3。在每种香烟产生相似尼古丁浓度的WTPM浓度下收集细胞培养样品用于RNA提取。使用Affymetrix小鼠全基因组430 2.0芯片来表征每种香烟的基因表达谱。与同期假处理对照相比,试验1样品中有598个基因、试验2样品中有176个基因、试验3样品中有234个基因差异表达。试验1样品中与变化基因相关的主要生物学过程是DNA复制和细胞增殖下调;试验2和试验3样品中这些生物学过程受影响程度小得多。所有三种香烟类型的共同发现是谷胱甘肽生物合成/消耗增加和炎症反应,这是已知的烟雾暴露引起的生物学效应。在烟雾暴露样品中上调最显著的基因是CYP1A1、谷胱甘肽S-转移酶(GSTs)、血红素加氧酶1(Hmox1)和蛋白酶激活受体(Procr),它们要么与烟雾暴露相关疾病的深入研究机制有关,要么是用于评估和监测体内及吸烟者香烟烟雾暴露生物学效应的潜在新生物标志物。总之,NR细胞毒性试验和基因表达谱分析均能够区分三种试验香烟类型,结果表明在BALB/c - 3T3细胞中,试验2和试验3香烟的生物学效应低于试验1香烟。