Next Generation Science Institute, R&D Division, Morinaga Milk Industry Co., Ltd., 5-1-83 Higashihara, Zama, Kanagawa 252-8583, Japan.
Next Generation Science Institute, R&D Division, Morinaga Milk Industry Co., Ltd., 5-1-83 Higashihara, Zama, Kanagawa 252-8583, Japan.
Food Res Int. 2023 Jan;163:112308. doi: 10.1016/j.foodres.2022.112308. Epub 2022 Dec 9.
Probiotics and prebiotics have beneficial effects on host physiology via metabolites from the gut microbiota in addition to their own. Here, we used a pH-controlled single-batch fermenter as a human gut microbiota model. We conducted fecal fermentation with Bifidobacterium breve MCC1274 (probiotic), lactulose (prebiotic), or a combination of both (synbiotic) to evaluate their influence on the gut environment. Fecal inoculum without the probiotic and prebiotic was used as the control. Principal coordinate analysis (PCoA), based on the composition of gut microbiota, showed a significant difference among the groups. The relative abundance of Bifidobacterium was significantly higher in the synbiotic group, compared to that in the other three treatment groups. The relative abundance of Blautia was the highest in the control group among the four groups. CE-TOFMS and LC-TOFMS showed that the number of metabolites detected in the synbiotic group was the highest (352 in total); 29 of the 310 hydrophilic metabolites and 17 of the 107 lipophilic metabolites were significantly different among the four groups in the Kruskal-Wallis test. A clustering based on 46 metabolites indicated that tryptophan-metabolites such as indole-3-lactic acid (ILA), indole-3-ethanol, and indole-3-carboxaldehyde, were included in a sub cluster composed of metabolites enriched in the synbiotic group. Spermidine, a major polyamine, was enriched in the two groups supplemented with the probiotic whereas spermine was enriched only in the synbiotic group. Not all metabolites enriched in the probiotic and/or synbiotic groups were found in the monocultures of the probiotic strain with or without the prebiotics. This implies that some of the metabolites were produced through the interaction of the fecal microbiota with the inoculated probiotic strain. Co-abundance networking analysis indicated the differences in the correlations between the relative abundance of the fecal microbiota genus and the tryptophan metabolites in each group. There was a strong correlation between ldh4 gene abundance and ILA concentration in the fecal fermentation. The copy number of ldh4 gene was significantly higher in the groups with the probiotic than that in the control group. In conclusion, synbiotics could enhance the production of signaling molecules in the gut environment. Our results provide an insight into more effective administration of probiotics at the molecular level.
益生菌和益生元除了自身以外,还通过肠道微生物群的代谢物对宿主生理产生有益影响。在这里,我们使用 pH 控制的单批次发酵器作为人类肠道微生物群模型。我们用短双歧杆菌 MCC1274(益生菌)、乳果糖(益生元)或两者的组合(合生素)进行粪便发酵,以评估它们对肠道环境的影响。没有益生菌和益生元的粪便接种物用作对照。基于肠道微生物群组成的主坐标分析(PCoA)显示组间存在显著差异。与其他三个处理组相比,合生素组双歧杆菌的相对丰度显著更高。在这四个组中,控制组中 Blautia 的相对丰度最高。CE-TOFMS 和 LC-TOFMS 显示,合生素组中检测到的代谢物数量最多(共 352 种);在 Kruskal-Wallis 检验中,310 种亲水代谢物中有 29 种和 107 种脂类代谢物中有 17 种在四组之间有显著差异。基于 46 种代谢物的聚类表明,色氨酸代谢物,如吲哚-3-乳酸(ILA)、吲哚-3-乙醇和吲哚-3-乙醛,包含在一个由合生素组中富集的代谢物组成的亚群中。腐胺是一种主要的多胺,在添加益生菌的两组中富集,而精胺仅在合生素组中富集。并非所有在益生菌和/或合生素组中富集的代谢物都在益生菌株的单一培养物中发现,无论是添加了益生元还是没有添加益生元。这意味着其中一些代谢物是通过粪便微生物群与接种的益生菌菌株相互作用产生的。共同丰度网络分析表明,每组粪便微生物群属的相对丰度与色氨酸代谢物之间的相关性存在差异。在粪便发酵中,ldh4 基因丰度与 ILA 浓度之间存在很强的相关性。在含有益生菌的组中,ldh4 基因的拷贝数明显高于对照组。总之,合生素可以增强肠道环境中信号分子的产生。我们的结果为在分子水平上更有效地管理益生菌提供了一个视角。