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使用高分辨率质谱法对小肠和粪便代谢组进行分析的非靶向和半靶向代谢组学方法。

Untargeted and semi-targeted metabolomics approach for profiling small intestinal and fecal metabolome using high-resolution mass spectrometry.

作者信息

Tronel Alexandre, Roger-Margueritat Morgane, Plazy Caroline, Cunin Valérie, Mohanty Ipsita, Dorrestein Pieter C, Soranzo Thomas, Le Gouellec Audrey

机构信息

Pelican Health, 107 rue Aristide Briand, 38600, Fontaine, France.

Univ. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, CHU Grenoble Alpes, TIMC, 38000, Grenoble, France.

出版信息

Metabolomics. 2025 Jun 19;21(4):84. doi: 10.1007/s11306-025-02288-2.

Abstract

INTRODUCTION

The gut microbiome is a complex ecosystem stratified that varies along different sections of the gut. It comprises a wide array of metabolites originating from both food, host, and microbes. Microbially-derived metabolites, such as bile acids, short-chain fatty acids, and indole derivatives, are of significant interest due to their direct interactions with host physiology and regulating function. Most current studies on the gut microbiome focus on fecal samples, which do not fully represent the upper parts of the gut due to its stratification. To collect microbiome samples from the proximal gut microbiome, endoscopic methods or new non-invasive medical devices can be used.

OBJECTIVES

To enable comprehensive profiling of the gut metabolome and analyze key metabolites, we developed a combined approach combining untargeted and semi-targeted metabolomics using a Q-Exactive Plus Orbitrap mass spectrometer.

METHODS

Initially, we selected 49 metabolites of interest for the gut metabolome based on four distinct criteria. We validated these metabolites through repeatability and linearity tests and created a compound database using the software TraceFinder (ThermoFisher Scientific). For untargeted metabolomics, we established a workflow for the annotation and discovery of molecules.

RESULTS

Finally, 37 metabolites were validated for semi-targeted metabolomics, and we conducted a proof of concept on small intestinal and fecal samples form a clinical trial (NCT05477069).

CONCLUSION

Our combined approach, facilitated by molecular networking, demonstrated the potential to discover new metabolites.

摘要

引言

肠道微生物群是一个复杂的分层生态系统,沿肠道不同部位而变化。它包含源自食物、宿主和微生物的多种代谢产物。微生物衍生的代谢产物,如胆汁酸、短链脂肪酸和吲哚衍生物,因其与宿主生理的直接相互作用和调节功能而备受关注。目前大多数关于肠道微生物群的研究集中在粪便样本上,由于其分层,粪便样本不能完全代表肠道上部。为了从近端肠道微生物群中收集微生物组样本,可以使用内镜检查方法或新型非侵入性医疗设备。

目的

为了实现肠道代谢组的全面分析并分析关键代谢产物,我们开发了一种结合非靶向和半靶向代谢组学的联合方法,使用Q-Exactive Plus轨道阱质谱仪。

方法

最初,我们基于四个不同标准为肠道代谢组选择了49种感兴趣的代谢产物。我们通过重复性和线性测试对这些代谢产物进行了验证,并使用TraceFinder软件(赛默飞世尔科技)创建了一个化合物数据库。对于非靶向代谢组学,我们建立了一个分子注释和发现的工作流程。

结果

最后,37种代谢产物被验证用于半靶向代谢组学,并且我们对来自一项临床试验(NCT05477069)的小肠和粪便样本进行了概念验证。

结论

我们的联合方法在分子网络的辅助下,展示了发现新代谢产物的潜力。

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