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代谢组学与系统免疫学相遇。

Metabolomics meets systems immunology.

机构信息

Centre for Individualised Infection Medicine (CiiM), a joint venture between the Helmholtz Centre for Infection Research (HZI) and Hannover Medical School (MHH), Hannover, Germany.

TWINCORE Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany.

出版信息

EMBO Rep. 2023 Apr 5;24(4):e55747. doi: 10.15252/embr.202255747. Epub 2023 Mar 14.

Abstract

Metabolic processes play a critical role in immune regulation. Metabolomics is the systematic analysis of small molecules (metabolites) in organisms or biological samples, providing an opportunity to comprehensively study interactions between metabolism and immunity in physiology and disease. Integrating metabolomics into systems immunology allows the exploration of the interactions of multilayered features in the biological system and the molecular regulatory mechanism of these features. Here, we provide an overview on recent technological developments of metabolomic applications in immunological research. To begin, two widely used metabolomics approaches are compared: targeted and untargeted metabolomics. Then, we provide a comprehensive overview of the analysis workflow and the computational tools available, including sample preparation, raw spectra data preprocessing, data processing, statistical analysis, and interpretation. Third, we describe how to integrate metabolomics with other omics approaches in immunological studies using available tools. Finally, we discuss new developments in metabolomics and its prospects for immunology research. This review provides guidance to researchers using metabolomics and multiomics in immunity research, thus facilitating the application of systems immunology to disease research.

摘要

代谢过程在免疫调节中起着关键作用。代谢组学是对生物体或生物样本中小分子(代谢物)的系统分析,为全面研究生理和疾病过程中代谢与免疫之间的相互作用提供了机会。将代谢组学纳入系统免疫学可以探索生物系统中多层次特征的相互作用及其特征的分子调控机制。在这里,我们概述了代谢组学在免疫学研究中的最新技术进展。首先,我们比较了两种广泛使用的代谢组学方法:靶向和非靶向代谢组学。然后,我们全面概述了现有的分析工作流程和计算工具,包括样品制备、原始光谱数据预处理、数据处理、统计分析和解释。第三,我们描述了如何使用现有的工具将代谢组学与免疫学研究中的其他组学方法相结合。最后,我们讨论了代谢组学的新进展及其在免疫学研究中的前景。本综述为使用代谢组学和多组学进行免疫研究的研究人员提供了指导,从而促进了系统免疫学在疾病研究中的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8386/10074123/2d8a75ff865b/EMBR-24-e55747-g005.jpg

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