Xu Jiabao, Morten Karl J
Division of Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow G12 8LT, U.K.
Nuffield Department of Women's and Reproductive Health, University of Oxford, The Women Centre, John Radcliffe Hospital, Headley Way, Headington, Oxford OX3 9DU, U.K.
Biochem Soc Trans. 2024 Apr 24;52(2):733-745. doi: 10.1042/BST20230794.
In the past two decades, immunometabolism has emerged as a crucial field, unraveling the intricate molecular connections between cellular metabolism and immune function across various cell types, tissues, and diseases. This review explores the insights gained from studies using the emerging technology, Raman micro-spectroscopy, to investigate immunometabolism. Raman micro-spectroscopy provides an exciting opportunity to directly study metabolism at the single cell level where it can be combined with other Raman-based technologies and platforms such as single cell RNA sequencing. The review showcases applications of Raman micro-spectroscopy to study the immune system including cell identification, activation, and autoimmune disease diagnosis, offering a rapid, label-free, and minimally invasive analytical approach. The review spotlights three promising Raman technologies, Raman-activated cell sorting, Raman stable isotope probing, and Raman imaging. The synergy of Raman technologies with machine learning is poised to enhance the understanding of complex Raman phenotypes, enabling biomarker discovery and comprehensive investigations in immunometabolism. The review encourages further exploration of these evolving technologies in the rapidly advancing field of immunometabolism.
在过去二十年中，免疫代谢已成为一个关键领域，揭示了各种细胞类型、组织和疾病中细胞代谢与免疫功能之间复杂的分子联系。本综述探讨了利用新兴技术拉曼显微光谱研究免疫代谢所获得的见解。拉曼显微光谱提供了一个令人兴奋的机会，可以在单细胞水平直接研究代谢，并且可以与其他基于拉曼的技术和平台（如单细胞RNA测序）相结合。该综述展示了拉曼显微光谱在研究免疫系统方面的应用，包括细胞识别、激活和自身免疫性疾病诊断，提供了一种快速、无标记且微创的分析方法。该综述重点介绍了三种有前景的拉曼技术，即拉曼激活细胞分选、拉曼稳定同位素探测和拉曼成像。拉曼技术与机器学习的协同作用有望增强对复杂拉曼表型的理解，从而实现免疫代谢中的生物标志物发现和全面研究。该综述鼓励在快速发展的免疫代谢领域进一步探索这些不断发展的技术。
