Single-cell transcriptomic analysis reveals gut microbiota-immunotherapy synergy through modulating tumor microenvironment.

Clicks: 4
ID: 281576
2025
The gut microbiota crucially regulates the efficacy of immune checkpoint inhibitor (ICI) based immunotherapy, but the underlying mechanisms remain unclear at the single-cell resolution. Using single-cell RNA sequencing and subsequent validations, we investigate gut microbiota-ICI synergy by profiling the tumor microenvironment (TME) and elucidating critical cellular interactions in mouse models. Our findings reveal that intact gut microbiota combined with ICIs may synergistically increase the proportions of CD8, CD4, and γδ T cells, reduce glycolysis metabolism, and reverse exhausted CD8 T cells into memory/effector CD8 T cells, enhancing antitumor response. This synergistic effect also induces macrophage reprogramming from M2 protumor Spp1 tumor-associated macrophages (TAMs) to Cd74 TAMs, which act as antigen-presenting cells (APCs). These macrophage subtypes show a negative correlation within tumors, particularly during fecal microbiota transplantation. Depleting Spp1 TAMs in Spp1 conditional knockout mice boosts ICI efficacy and T cell infiltration, regardless of gut microbiota status, suggesting a potential upstream role of the gut microbiota and highlighting the crucial negative impact of Spp1 TAMs during macrophage reprogramming on immunotherapy outcomes. Mechanistically, we propose a γδ T cell-APC-CD8 T cell axis, where gut microbiota and ICIs enhance Cd40lg expression on γδ T cells, activating Cd40 overexpressing APCs (e.g., Cd74 TAMs) through CD40-CD40L-related NF-κB signaling and boosting CD8 T cell responses via CD86-CD28 interactions. These findings highlight the potential importance of γδ T cells and SPP1-related macrophage reprogramming in activating CD8 T cells, as well as the synergistic effect of gut microbiota and ICIs in immunotherapy through modulating the TME.
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Authors Cao, Minyuan; Deng, Yun; Hao, Qing; Yan, Huayun; Wang, Quan-Lin; Dong, Chunyan; Wu, Jing; He, Yajiao; Huang, Li-Bin; Xia, Xuyang; Gao, Yongchao; Chen, Hai-Ning; Zhang, Wei-Han; Zhang, Yan-Jing; Zhuo, Xiaozhen; Dai, Lunzhi; Hu, Hongbo; Peng, Yong; Zhang, Feng; Liu, Zhaoqian; Huang, Weihua; Zhang, Huiyuan; Yang, Li; Shu, Yang; Zhang, Wei; Zhang, Yan; Xu, Heng
Journal Signal transduction and targeted therapy
Year 2025
DOI 10.1038/s41392-025-02226-7
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