基于分子网络的脂质图谱和多组学方法揭示了功能性香草类化合物对肠道微生物群和脂肪代谢变化的新贡献。

IF 4.1 Q2 FOOD SCIENCE & TECHNOLOGY Food Chemistry Molecular Sciences Pub Date : 2022-12-30 DOI:10.1016/j.fochms.2022.100123
Hiroyuki Hattori , Akihiro Moriyama , Tomoki Ohno , Takahiro Shibata , Hitoshi Iwahashi , Tohru Mitsunaga
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引用次数: 1

摘要

肥胖现在被认为是一种流行病,需要迅速干预。我们之前已经证明,来自被称为天堂谷物(GOP)的非洲香料的香草素具有很强的抗肥胖作用。本文采用基于分子网络的脂质分析和16S rRNA测序技术,研究了GOP提取物预防肥胖特性的分子机制。使用GOP提取物或其两种成分(6-paradol和6-gingerol),可以扭转高脂肪饮食(HFD)引起的肠道微生物群组成失衡,降低厚壁菌门/拟杆菌门比例,增加双歧杆菌属和Akkermansia。此外,GOP提取物改善了肠道细菌的异常脂肪酸代谢。此外,脂质分子网络揭示了粪便中甘油三酯和胆汁酸等脂质组成的差异。这些结果表明,6-酚和6-姜辣素可以恢复不健康的肠道环境,防止脂质吸收,这可能是肠道微生物群重建的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Molecular networking-based lipid profiling and multi-omics approaches reveal new contributions of functional vanilloids to gut microbiota and lipometabolism changes

Obesity is now recognized as an epidemic, requiring rapid intervention. We previously demonstrated that vanilloids from the African spice known as Grains of Paradise (GOP) exhibit strong anti-obesity effects. Here, the molecular mechanism behind the obesity prevention property of the GOP extract was investigated by employing molecular networking-based lipid profiling and 16S rRNA sequencing. Administration of either GOP extract or two of its components, 6-paradol and 6-gingerol, reversed the unbalanced gut microbiota composition induced by a high-fat diet (HFD) with a decrease in Firmicutes / Bacteroidetes ratio and increase in genera Bifidobacterium and Akkermansia. Moreover, GOP extract ameliorated abnormal fatty acid metabolism in gut bacteria. Furthermore, lipid molecular networking revealed differences in lipid composition, such as triglycerides and bile acids, in the feces. These results suggest that 6-paradol and 6-gingerol can restore an unhealthy gut environment and prevent lipid absorption, a possible consequence of the reconstruction of the gut microbiota.

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来源期刊
Food Chemistry Molecular Sciences
Food Chemistry Molecular Sciences Agricultural and Biological Sciences-Food Science
CiteScore
6.00
自引率
0.00%
发文量
83
审稿时长
82 days
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