Department of Microbiology, Genetics, and Immunology, Michigan State University E., Lansing, MI, United States.
Research Technology Support Facility, Mass Spectrometry and Metabolomics Core, Michigan State University E., Lansing, MI, United States.
Front Cell Infect Microbiol. 2024 May 8;14:1359576. doi: 10.3389/fcimb.2024.1359576. eCollection 2024.
While enteric pathogens have been widely studied for their roles in causing foodborne infection, their impacts on the gut microbial community have yet to be fully characterized. Previous work has identified notable changes in the gut microbiome related to pathogen invasion, both taxonomically and genetically. Characterization of the metabolic landscape during and after enteric infection, however, has not been explored. Consequently, we investigated the metabolome of paired stools recovered from 60 patients (cases) during and after recovery from enteric bacterial infections (follow-ups). Shotgun metagenomics was applied to predict functional microbial pathways combined with untargeted metametabolomics classified by Liquid Chromatography Mass Spectrometry. Notably, cases had a greater overall metabolic capacity with significantly higher pathway richness and evenness relative to the follow-ups (p<0.05). Metabolic pathways related to central carbon metabolism, amino acid metabolism, and lipid and fatty acid biosynthesis were more highly represented in cases and distinct signatures for menaquinone production were detected. By contrast, the follow-up samples had a more diverse metabolic landscape with enhanced richness of polar metabolites (p<0.0001) and significantly greater richness, evenness, and overall diversity of nonpolar metabolites (p<0.0001). Although many metabolites could not be annotated with existing databases, a marked increase in certain clusters of metabolites was observed in the follow-up samples when compared to the case samples and vice versa. These findings suggest the importance of key metabolites in gut health and recovery and enhance understanding of metabolic fluctuations during enteric infections.
尽管肠病原体在引起食源性感染方面的作用已被广泛研究,但它们对肠道微生物群落的影响尚未得到充分描述。先前的工作已经确定了与病原体入侵相关的肠道微生物组在分类和遗传上的显著变化。然而,在肠感染期间和之后,对代谢景观的特征描述尚未得到探索。因此,我们调查了 60 名(病例)患者在肠细菌感染期间和恢复后(随访)恢复期间粪便中配对粪便的代谢组。 shotgun 宏基因组学用于预测与非靶向代谢组学(通过液相色谱质谱分类)相结合的功能微生物途径。值得注意的是,与随访相比,病例的整体代谢能力更强,途径丰富度和均匀度显著更高(p<0.05)。与中心碳代谢、氨基酸代谢以及脂质和脂肪酸生物合成相关的代谢途径在病例中更为突出,并检测到甲萘醌产生的独特特征。相比之下,随访样本的代谢景观更加多样化,极性代谢物的丰富度增加(p<0.0001),非极性代谢物的丰富度、均匀度和整体多样性显著增加(p<0.0001)。尽管许多代谢物无法用现有数据库进行注释,但与病例样本相比,随访样本中某些代谢物簇的明显增加,反之亦然。这些发现表明关键代谢物在肠道健康和恢复中的重要性,并增强了对肠感染期间代谢波动的理解。