College of Marine Science, Shandong University at Weihai, Weihai, China.
Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California.
Mol Carcinog. 2019 May;58(5):627-632. doi: 10.1002/mc.22972. Epub 2019 Jan 22.
Variations in oral bacterial communities have been linked to oral cancer suggesting that the oral microbiome is an etiological factor that can influence oral cancer development. The 4-nitroquinoline 1-oxide (4-NQO)-induced murine oral and esophageal cancer model is frequently used to assess the effects of preventive and/or therapeutic agents. We used this model to assess the impact of the microbiome on tumorigenesis using axenic (germ-free) and conventionally housed mice. Increased toxicity was observed in germ-free mice, however, no difference in tumor incidence, multiplicity, and size was observed. Transcriptional profiling of liver tissue from germ-free and conventionally housed mice identified 254 differentially expressed genes including ten cytochrome p450 enzymes, the largest family of phase-1 drug metabolizing enzymes in the liver. Gene ontology revealed that differentially expressed genes were enriched for liver steatosis, inflammation, and oxidative stress in livers of germ-free mice. Our observations emphasize the importance of the microbiome in mediating chemical toxicity at least in part by altering host gene expression. Studies on the role of the microbiome in chemical-induced cancer using germ-free animal models should consider the potential difference in dose due to the microbiome-mediated changes in host metabolizing capacity, which might influence the ability to draw conclusions especially for tumor induction models that are dose dependent.
口腔细菌群落的变化与口腔癌有关,这表明口腔微生物组是一个可以影响口腔癌发展的病因因素。4-硝基喹啉 1-氧化物(4-NQO)诱导的小鼠口腔和食管癌模型常用于评估预防和/或治疗药物的效果。我们使用该模型来评估微生物组对肿瘤发生的影响,使用无菌(无肠道微生物)和常规饲养的小鼠。在无菌小鼠中观察到毒性增加,但肿瘤发生率、多发性和大小无差异。无菌和常规饲养小鼠的肝脏组织转录谱分析鉴定出 254 个差异表达基因,包括 10 种细胞色素 P450 酶,这是肝脏中最大的一期药物代谢酶家族。基因本体论表明,差异表达基因在无菌小鼠的肝脏中富集了肝脂肪变性、炎症和氧化应激。我们的观察结果强调了微生物组在介导化学毒性中的重要性,至少部分是通过改变宿主基因表达来实现的。使用无菌动物模型研究微生物组在化学诱导癌症中的作用时,应考虑由于微生物组介导的宿主代谢能力变化而导致的潜在剂量差异,这可能会影响得出结论的能力,特别是对于依赖剂量的肿瘤诱导模型。