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C 标记聚右旋糖的代谢命运及其对肠道微生物组的影响:在结肠模拟器中的三相研究。

Metabolic Fate of C-Labeled Polydextrose and Impact on the Gut Microbiome: A Triple-Phase Study in a Colon Simulator.

机构信息

Department of Food Science, Aarhus University , Kirstinebjergvej 10, 5792 Aarslev and Blichers Allé 20, 8830 Tjele, Denmark.

Turku Centre for Biotechnology, University of Turku and Åbo Akademi University , Turku 20520, Finland.

出版信息

J Proteome Res. 2018 Mar 2;17(3):1041-1053. doi: 10.1021/acs.jproteome.7b00683. Epub 2018 Feb 20.

Abstract

The present study introduces a novel triple-phase (liquids, solids, and gases) approach, which employed uniformly labeled [U-C] polydextrose (PDX) for the selective profiling of metabolites generated from dietary fiber fermentation in an in vitro colon simulator using human fecal inocula. Employing C NMR spectroscopy, [U-C] PDX metabolism was observed from colonic digest samples. The major C-labeled metabolites generated were acetate, butyrate, propionate, and valerate. In addition to these short-chain fatty acids (SCFAs), C-labeled lactate, formate, succinate, and ethanol were detected in the colon simulator samples. Metabolite formation and PDX substrate degradation were examined comprehensively over time (24 and 48 h). Correlation analysis between C NMR spectra and gas production confirmed the anaerobic fermentation of PDX to SCFAs. In addition, 16S rRNA gene analysis showed that the level of Erysipelotrichaceae was influenced by PDX supplementation and Erysipelotrichaceae level was statistically correlated with SCFA formation. Overall, our study demonstrates a novel approach to link substrate fermentation and microbial function directly in a simulated colonic environment.

摘要

本研究提出了一种新型的三相(液体、固体和气体)方法,该方法使用均标记的[U-C]聚右旋糖(PDX),在使用人粪便接种物的体外结肠模拟器中,选择性分析膳食纤维发酵产生的代谢物。通过 C NMR 光谱,观察到[U-C] PDX 代谢物来自结肠消化样品。生成的主要 C 标记代谢物为乙酸盐、丁酸盐、丙酸盐和戊酸盐。除了这些短链脂肪酸(SCFA)之外,在结肠模拟器样品中还检测到 C 标记的乳酸盐、甲酸盐、琥珀酸盐和乙醇。随着时间的推移(24 和 48 小时),全面检查了代谢物形成和 PDX 底物降解情况。C NMR 光谱和气体产生之间的相关性分析证实了 PDX 的厌氧发酵转化为 SCFA。此外,16S rRNA 基因分析表明,PDX 补充对肠杆菌科水平有影响,肠杆菌科水平与 SCFA 形成呈统计学相关。总的来说,我们的研究表明了一种在模拟结肠环境中直接将底物发酵与微生物功能联系起来的新方法。

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