Behr C, Sperber S, Jiang X, Strauss V, Kamp H, Walk T, Herold M, Beekmann K, Rietjens I M C M, van Ravenzwaay B
BASF, SE, 67056 Ludwigshafen, Germany.
Metanomics GmbH, 10589 Berlin, Germany.
Toxicol Appl Pharmacol. 2018 Sep 15;355:198-210. doi: 10.1016/j.taap.2018.06.028. Epub 2018 Jul 6.
The metabolic functionality of the gut microbiota contributes to the metabolism and well-being of its host, although detailed insight in the microbiota's metabolism is lacking. Omics technologies could facilitate unraveling metabolism by the gut microbiota. In this study, we performed metabolite profiling of different matrices of the gut, after antibiotic treatment of rats in order to evaluate metabolite changes observed at different dose levels and in different sexes, and to identify the best tissue matrix for further investigations regarding an assessment of metabolic effects of new compounds with antibiotic activity. Three different antibiotics (vancomycin, streptomycin and roxithromycin) were administered orally to rats for 28 days according to the OECD 407 guideline with a subsequent metabolic profiling in feces, cecum content and gut tissue (jejunum, ileum, cecum, colon and rectum). The data were analyzed in the MetaMap®Tox database. Treatment-related effects could be observed in the metabolite profile of feces and cecum content, but not of the different gut tissues. The metabolite profile showed compound specific effects on the microbiome. In line with the activity spectra of the antibiotics tested, vancomycin showed the largest effects, followed by roxithromycin and then by streptomycin for which changes were modest. In general, for all antibiotics the largest changes were observed for the classes of lipids (increase up to 94-fold), bile acids (increase up to 33-fold), amino acids (increase up to 200-fold) and amino acid related (increase up to 348-fold). The most relevant changes in metabolite values were similar in feces and cecum content and among sexes. The results of this targeted analysis indicate that the metabolic profiles of male and female animals in the gut microbiome are comparable. Concluding, taking other samples than feces does not add any extra information. Thus, as a non-invasive sampling method, feces provide a suitable matrix for studies on metabolism by the gut microbiota.
肠道微生物群的代谢功能有助于其宿主的新陈代谢和健康,尽管目前仍缺乏对微生物群代谢的详细了解。组学技术有助于揭示肠道微生物群的代谢情况。在本研究中,我们对大鼠进行抗生素治疗后,对肠道的不同基质进行了代谢物谱分析,以评估在不同剂量水平和不同性别下观察到的代谢物变化,并确定用于进一步研究具有抗生素活性的新化合物代谢效应评估的最佳组织基质。根据经合组织407指南,给大鼠口服三种不同的抗生素(万古霉素、链霉素和罗红霉素),持续28天,随后对粪便、盲肠内容物和肠道组织(空肠、回肠、盲肠、结肠和直肠)进行代谢物谱分析。数据在MetaMap®Tox数据库中进行分析。在粪便和盲肠内容物的代谢物谱中可以观察到与治疗相关的效应,但在不同的肠道组织中未观察到。代谢物谱显示了化合物对微生物群的特异性影响。与所测试抗生素的活性谱一致,万古霉素显示出最大的影响,其次是罗红霉素,然后是链霉素,其变化较小。一般来说,对于所有抗生素,在脂质类别(增加高达94倍)、胆汁酸(增加高达33倍)、氨基酸(增加高达200倍)和氨基酸相关物(增加高达348倍)中观察到最大的变化。粪便和盲肠内容物以及不同性别之间代谢物值的最相关变化相似。这种靶向分析的结果表明,肠道微生物群中雄性和雌性动物 的代谢谱具有可比性。总之,除粪便外采集其他样本不会增加任何额外信息。因此,作为一种非侵入性采样方法,粪便为研究肠道微生物群的代谢提供了合适的基质。