Institute of Biomedical Science, Universidade de São Paulo, São Paulo, Brazil.
Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA.
Nat Rev Microbiol. 2022 Mar;20(3):143-160. doi: 10.1038/s41579-021-00621-9. Epub 2021 Sep 22.
Microbiotas are a malleable part of ecosystems, including the human ecosystem. Microorganisms affect not only the chemistry of their specific niche, such as the human gut, but also the chemistry of distant environments, such as other parts of the body. Mass spectrometry-based metabolomics is one of the key technologies to detect and identify the small molecules produced by the human microbiota, and to understand the functional role of these microbial metabolites. This Review provides a foundational introduction to common forms of untargeted mass spectrometry and the types of data that can be obtained in the context of microbiome analysis. Data analysis remains an obstacle; therefore, the emphasis is placed on data analysis approaches and integrative analysis, including the integration of microbiome sequencing data.
微生物组是生态系统的一个可塑部分,包括人类生态系统。微生物不仅影响其特定小生境(如人类肠道)的化学物质,还影响遥远环境(如身体其他部位)的化学物质。基于质谱的代谢组学是检测和识别人类微生物组产生的小分子,并了解这些微生物代谢物功能作用的关键技术之一。本综述提供了对常见非靶向质谱形式以及在微生物组分析背景下可以获得的数据类型的基本介绍。数据分析仍然是一个障碍;因此,重点放在数据分析方法和综合分析上,包括微生物组测序数据的整合。