Fecal 16S rRNA sequencing and multi-compartment metabolomics revealed gut microbiota and metabolites interactions in APP/PS1 mice
Fecal 16S rRNA sequencing and multi-compartment metabolomics revealed gut microbiota and metabolites interactions in APP/PS1 mice
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粪便 16S rRNA 测序和多室代谢组学揭示了 APP/PS1 小鼠肠道微生物群和代谢物的相互作用
DOI：
10.1016/j.compbiomed.2022.106312
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发表时间：
2022-11-20
影响因子：
7.7
通讯作者：
Peng, Weijun
中科院分区：
文献类型：
--
作者：
Cheng, Xin;Tan, Yejun;Peng, Weijun
背景：阿尔茨海默病是一个重要的公共卫生问题。最近的研究表明，肠道微生物区系在阿尔茨海默病的发生和发展中起着至关重要的作用。然而，肠道微生物区系的潜在作用及其相关的代谢特征还有待进一步阐明。方法：采用16S rRNA基因测序方法对APP/PS1小鼠肠道微生物组成进行分析。代谢组学被用来表征粪便、血清和皮质中代谢谱的变化。结果：APP/PS1小鼠与正常小鼠肠道微生物区系组成存在明显差异。代谢组学分析鉴定出253种粪便代谢物，16种血清代谢物和123种皮质代谢物，APP/PS1可能是AD的潜在生物标志物。这些代谢物中近一半是脂类。对三种样本类型的联合分析显示，粪便脂肪酸与甘油脂、血清甘油磷脂和皮质脂肪酸之间存在相关性。此外，我们的研究表明，Marinifilaceae和Akkermansiaceae与这些脂质和类脂分子密切相关，特别是脂肪酸和甘油磷脂。结论：我们的研究强调了肠道微生物群与粪便、血清和皮质代谢物之间的相互作用。这种相互作用为进一步探索阿尔茨海默病肠道微生物区系组成与代谢之间的联系提供了新的方向。
Background: Alzheimer's disease is a significant public health issue. Recent studies have shown that the gut microbiota plays a vital role in the onset and development of Alzheimer's disease. However, the potential role of the gut microbiota and the associated metabolic characteristics require further elucidation.Methods: The gut microbial compositions of APP/PS1 mice were analyzed using 16S rRNA gene sequencing. Metabolomics was used to characterize changes in metabolic profiles in feces, serum, and cortex. A multi-omics approach investigated the potential associations between gut microbes and metabolites.Results: The gut microbiota composition was markedly different between APP/PS1 mice and normal mice. Metabolomic analysis identified 253 fecal metabolites, 16 serum metabolites, and 123 cortical metabolites that were differentially abundant in APP/PS1 that may be potential biomarkers of AD. Nearly half of these metabolites were lipids. A combined analysis of the three sample types showed a correlation between fecal fatty acids and glycerolipids, serum glycerophospholipids, and cortical fatty acids. Furthermore, our study showed that Marinifilaceae and Akkermansiaceae were closely related to these lipids and lipid-like molecules, particularly fatty acids and glycerophospholipids.Conclusion: Our study highlighted the interactions between the gut microbiome and the fecal, serum, and cortical metabolomes. This interaction provides a new direction for further exploring the link between gut microbiota composition and metabolism in Alzheimer's disease.