Understanding the prebiotic potential of different dietary fibers using an in vitro continuous adult fermentation model (PolyFermS).
Understanding the prebiotic potential of different dietary fibers using an in vitro continuous adult fermentation model (PolyFermS).
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DOI：
10.1038/s41598-018-22438-y
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发表时间：
2018-03-12
影响因子：
4.6
通讯作者：
Lacroix C
中科院分区：
文献类型：
--
作者：
Poeker SA;Geirnaert A;Berchtold L;Greppi A;Krych L;Steinert RE;de Wouters T;Lacroix C
食用可发酵膳食纤维（DF）可以诱导特定有益群体的生长和/或活性，被认为是调节肠道微生物群和恢复微生物群相关疾病健康的有前途的策略。迄今为止，菊粉和低聚果糖 (FOS) 是研究最多的膳食纤维，而关于 β-葡聚糖、α-低聚半乳糖 (α-GOS) 和低聚木糖 (XOS) 的肠道微生物调节作用却知之甚少。在这里，我们使用三个连续体外发酵 PolyFermS 模型来研究这些 DF 对两个不同的成人近端结肠微生物群的调节作用，独立于宿主。补充 DF（相当于每日摄入量 9 克）可诱导一致的代谢反应，具体取决于供体微生物群。无论是否补充DF，以拟杆菌科-瘤胃球菌科为主的微生物群产生更多的丁酸盐（高达96%），而以普雷沃特拉科-瘤胃球菌科为主的微生物群产生更多的丙酸盐（高达40%）。补充 DF 后特定细菌类群丰度的变化解释了观察到的短链脂肪酸谱的变化。我们的数据表明，SCFA 谱的代谢谱可能是表征 DF 微生物群调节作用的最合适、最可靠的读数，并强调了解个体间对益生元治疗的反应对于机械理解和人类应用的重要性。
Consumption of fermentable dietary fibers (DFs), which can induce growth and/or activity of specific beneficial populations, is suggested a promising strategy to modulate the gut microbiota and restore health in microbiota-linked diseases. Until today, inulin and fructo-oligosaccharides (FOS) are the best studied DFs, while little is known about the gut microbiota-modulating effects of β-glucan, α-galactooligosaccharide (α-GOS) and xylo-oligosaccharide (XOS). Here, we used three continuous in vitro fermentation PolyFermS model to study the modulating effect of these DFs on two distinct human adult proximal colon microbiota, independently from the host. Supplementation of DFs, equivalent to a 9 g daily intake, induced a consistent metabolic response depending on the donor microbiota. Irrespective to the DF supplemented, the Bacteroidaceae-Ruminococcaceae dominated microbiota produced more butyrate (up to 96%), while the Prevotellaceae-Ruminococcaceae dominated microbiota produced more propionate (up to 40%). Changes in abundance of specific bacterial taxa upon DF supplementation explained the observed changes in short-chain fatty acid profiles. Our data suggest that the metabolic profile of SCFA profile may be the most suitable and robust read-out to characterize microbiota-modulating effects of a DF and highlights importance to understand the inter-individual response to a prebiotic treatment for mechanistic understanding and human application.
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影响因子：
64.8
作者：
Arumugam, Manimozhiyan;Raes, Jeroen;Pelletier, Eric;Le Paslier, Denis;Yamada, Takuji;Mende, Daniel R.;Fernandes, Gabriel R.;Tap, Julien;Bruls, Thomas;Batto, Jean-Michel;Bertalan, Marcelo;Borruel, Natalia;Casellas, Francesc;Fernandez, Leyden;Gautier, Laurent;Hansen, Torben;Hattori, Masahira;Hayashi, Tetsuya;Kleerebezem, Michiel;Kurokawa, Ken;Leclerc, Marion;Levenez, Florence;Manichanh, Chaysavanh;Nielsen, H. Bjorn;Nielsen, Trine;Pons, Nicolas;Poulain, Julie;Qin, Junjie;Sicheritz-Ponten, Thomas;Tims, Sebastian;Torrents, David;Ugarte, Edgardo;Zoetendal, Erwin G.;Wang, Jun;Guarner, Francisco;Pedersen, Oluf;de Vos, Willem M.;Brunak, Soren;Dore, Joel;Weissenbach, Jean;Ehrlich, S. Dusko;Bork, Peer
通讯作者：
Bork, Peer
影响因子：
4.2
作者：
Hughes, Simon A.;Shewry, Peter R.;Rastall, Robert A.
通讯作者：
Rastall, Robert A.
通过饮食纤维对人肠道微生物群的调节发生在物种水平上。
影响因子：
5.4
作者：
Chung WS;Walker AW;Louis P;Parkhill J;Vermeiren J;Bosscher D;Duncan SH;Flint HJ
通讯作者：
Flint HJ
影响因子：
29.4
作者：
CUMMINGS, JH;BINGHAM, SA;EASTWOOD, MA
通讯作者：
EASTWOOD, MA
影响因子：
56.9
作者：
Falony, Gwen;Joossens, Marie;Raes, Jeroen
通讯作者：
Raes, Jeroen