Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
ISME J. 2013 Oct;7(10):1933-43. doi: 10.1038/ismej.2013.89. Epub 2013 Jun 6.
Defining the functional status of host-associated microbial ecosystems has proven challenging owing to the vast number of predicted genes within the microbiome and relatively poor understanding of community dynamics and community-host interaction. Metabolomic approaches, in which a large number of small molecule metabolites can be defined in a biological sample, offer a promising avenue to 'fingerprint' microbiota functional status. Here, we examined the effects of the human gut microbiota on the fecal and urinary metabolome of a humanized (HUM) mouse using an optimized ultra performance liquid chromatography-mass spectrometry-based method. Differences between HUM and conventional mouse urine and fecal metabolomic profiles support host-specific aspects of the microbiota's metabolomic contribution, consistent with distinct microbial compositions. Comparison of microbiota composition and metabolome of mice humanized with different human donors revealed that the vast majority of metabolomic features observed in donor samples are produced in the corresponding HUM mice, and individual-specific features suggest 'personalized' aspects of functionality can be reconstituted in mice. Feeding the mice a defined, custom diet resulted in modification of the metabolite signatures, illustrating that host diet provides an avenue for altering gut microbiota functionality, which in turn can be monitored via metabolomics. Using a defined model microbiota consisting of one or two species, we show that simplified communities can drive major changes in the host metabolomic profile. Our results demonstrate that metabolomics constitutes a powerful avenue for functional characterization of the intestinal microbiota and its interaction with the host.
由于微生物组中预测的基因数量众多,而对群落动态和群落-宿主相互作用的理解相对较差,因此定义宿主相关微生物生态系统的功能状态一直具有挑战性。代谢组学方法可以在生物样本中定义大量小分子代谢物,为“指纹”微生物群落功能状态提供了有前途的途径。在这里,我们使用经过优化的超高效液相色谱-质谱联用方法,研究了人类肠道微生物群对人源化(HUM)小鼠粪便和尿液代谢组的影响。HUM 小鼠与传统小鼠尿液和粪便代谢组图谱之间的差异支持了微生物群落代谢组贡献的宿主特异性方面,与不同的微生物组成一致。对用不同人类供体进行人源化的小鼠的微生物群落组成和代谢组进行比较,结果表明,在供体样本中观察到的绝大多数代谢物特征是在相应的 HUM 小鼠中产生的,而个体特异性特征表明可以在小鼠中重建“个性化”的功能方面。用特定的、定制的饮食喂养小鼠会导致代谢物特征发生改变,这表明宿主饮食为改变肠道微生物群的功能提供了途径,而代谢组学可以监测到这一点。使用由一种或两种物种组成的定义明确的模型微生物群,我们表明简化的群落可以显著改变宿主的代谢组图谱。我们的结果表明,代谢组学是对肠道微生物群及其与宿主相互作用进行功能特征描述的有力途径。