Over the last decade, immunometabolism has emerged as a novel interdisciplinary field of research and yielded significant fundamental insights into the regulation of immune responses. Multiple classical approaches to interrogate immunometabolism, including bulk metabolic profiling and analysis of metabolic regulator expression, paved the way to appreciating the physiological complexity of immunometabolic regulation in vivo. Studying immunometabolism at the systems level raised the need to transition towards the next-generation technology for metabolic profiling and analysis. Spatially resolved metabolic imaging and computational algorithms for multi-modal data integration are new approaches to connecting metabolism and immunity. In this review, we discuss recent studies that highlight the complex physiological interplay between immune responses and metabolism and give an overview of technological developments that bear the promise of capturing this complexity most directly and comprehensively.

中文翻译：

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代谢的系统免疫学方法

在过去的十年中，免疫代谢已成为一个新颖的跨学科研究领域，并对免疫反应的调节产生了重要的基础见解。多种询问免疫代谢的经典方法，包括大量代谢谱和代谢调节剂表达分析，为理解体内免疫代谢调节的生理复杂性铺平了道路。在系统水平上研究免疫代谢提出了向下一代代谢谱和分析技术过渡的需要。用于多模式数据集成的空间分辨代谢成像和计算算法是连接代谢和免疫的新方法。在这篇综述中，我们讨论了最近的研究，这些研究强调了免疫反应和新陈代谢之间复杂的生理相互作用，并概述了有望最直接、最全面地捕捉这种复杂性的技术发展。