Huang Lihaoyun, Li Haitao, Zhang Cangang, Chen Quan, Liu Zaoqu, Zhang Jian, Luo Peng, Wei Ting
Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
The First Clinical Medical School, Southern Medical University, Guangzhou, China.
Clin Transl Med. 2024 Mar;14(3):e1620. doi: 10.1002/ctm2.1620.
As single-cell RNA sequencing enables the detailed clustering of T-cell subpopulations and facilitates the analysis of T-cell metabolic states and metabolite dynamics, it has gained prominence as the preferred tool for understanding heterogeneous cellular metabolism. Furthermore, the synergistic or inhibitory effects of various metabolic pathways within T cells in the tumour microenvironment are coordinated, and increased activity of specific metabolic pathways generally corresponds to increased functional activity, leading to diverse T-cell behaviours related to the effects of tumour immune cells, which shows the potential of tumour-specific T cells to induce persistent immune responses. A holistic understanding of how metabolic heterogeneity governs the immune function of specific T-cell subsets is key to obtaining field-level insights into immunometabolism. Therefore, exploring the mechanisms underlying the interplay between T-cell metabolism and immune functions will pave the way for precise immunotherapy approaches in the future, which will empower us to explore new methods for combating tumours with enhanced efficacy.
由于单细胞RNA测序能够对T细胞亚群进行详细聚类，并有助于分析T细胞代谢状态和代谢物动态变化，它已成为理解异质性细胞代谢的首选工具而备受瞩目。此外，肿瘤微环境中T细胞内各种代谢途径的协同或抑制作用是相互协调的，特定代谢途径活性的增加通常对应着功能活性的增强，从而导致与肿瘤免疫细胞效应相关的多种T细胞行为，这显示了肿瘤特异性T细胞诱导持久免疫反应的潜力。全面了解代谢异质性如何调控特定T细胞亚群的免疫功能，是在免疫代谢领域获得深入见解的关键。因此，探索T细胞代谢与免疫功能之间相互作用的潜在机制，将为未来精确免疫治疗方法铺平道路，使我们能够探索更有效的对抗肿瘤的新方法。
