Interdisciplinary Toxicology Program, University of Georgia, Athens, GA 30602, United States; Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, GA 30602, United States.
Interdisciplinary Toxicology Program, University of Georgia, Athens, GA 30602, United States; Department of Environmental Health Science, College of Public Health, University of Georgia, Athens, GA 30602, United States.
Chemosphere. 2019 Feb;217:618-628. doi: 10.1016/j.chemosphere.2018.11.044. Epub 2018 Nov 9.
The adverse impacts of AFB on gut-microbiota dependent metabolism in F344 rats were assessed via ultra-high performance liquid chromatography (UHPLC)-profiling and UHPLC-mass spectrometry (MS) metabolomic analyses. UHPLC-profiling analysis found 1100 raw peaks from the fecal samples collected at week 4, of which 335 peaks showed peak shape qualified for quantitation. A total of 24, 40 and 71 peaks were significantly decreased (>2-fold, p < 0.05) among the exposure groups treated with 5, 25, and 75 μg AFB kg body weight (B. W.), respectively. Supervised orthogonal partial least squares projection to latent structures-discriminant analysis revealed 11 differential peaks that may be used to predict AFB-induced adverse changes of the metabolites. UHPLC-MS based metabolomic analysis discovered 494 features that were significantly altered by AFB, and 234 of them were imputatively identified using Human Metabolome Data Base (HMDB). Metabolite set enrichment analysis showed that the highly disrupted metabolic pathways were: protein biosynthesis, pantothenate and CoA biosynthesis, betaine metabolism, cysteine metabolism, and methionine metabolism. Eight features were rated as indicative metabolites for AFB exposure: 3-decanol, xanthylic acid, norspermidine, nervonyl carnitine, pantothenol, threitol, 2-hexanoyl carnitine, and 1-nitrohexane. These data suggest that AFB could significantly reduce the variety of nutrients in gut and disrupt a number of gut-microbiota dependent metabolic pathways, which may contribute to the AFB-associated stunted growth, liver diseases and the immune toxic effects that have been observed in animal models and human populations.
采用超高效液相色谱(UHPLC)- profiling 和 UHPLC- 质谱(MS)代谢组学分析,评估了 AFB 对 F344 大鼠肠道微生物群依赖代谢的不良影响。UHPLC-profiling 分析从第 4 周收集的粪便样本中发现了 1100 个原始峰,其中 335 个峰的峰形符合定量要求。在接受 5、25 和 75μgAFB/kg 体重(B.W.)处理的暴露组中,分别有 24、40 和 71 个峰显著减少(>2 倍,p<0.05)。监督正交偏最小二乘投影到潜结构判别分析显示,有 11 个差异峰可能用于预测 AFB 诱导的代谢物不良变化。基于 UHPLC-MS 的代谢组学分析发现 494 个特征被 AFB 显著改变,其中 234 个使用人类代谢物数据库(HMDB)进行了推定鉴定。代谢物集富集分析显示,高度破坏的代谢途径为:蛋白质生物合成、泛酸和 CoA 生物合成、甜菜碱代谢、半胱氨酸代谢和蛋氨酸代谢。有 8 个特征被评为 AFB 暴露的指示代谢物:3-癸醇、黄嘌呤酸、降诺司汀、正壬基肉碱、泛醇、苏糖醇、2-己酰肉碱和 1-硝基己烷。这些数据表明,AFB 可显著减少肠道中的营养物质种类,并破坏多种肠道微生物群依赖的代谢途径,这可能导致动物模型和人群中观察到的 AFB 相关生长迟缓、肝脏疾病和免疫毒性作用。