Mucosal ImmunologyImmunologyPeer-reviewed journal article
CCR2-driven monocyte recruitment is protective against radiotherapy-induced intestinal toxicity
Nabina PuniD, Urszula CytlakiD, Dave Chi Hoo LeeiD, Rita G. DominguesiD, Eleanor J. Cheadle, Duncan M. ForsteriD, Clara H WhiteleyiD, Jamie HoneychurchiD, Kaye Janine WilliamsiD, Gerard J. GrahamiD, Matthew R. HepworthiD, Mark A. TravisiD, Tim IllidgeiD, Douglas P. DyeriD
Abstract
Radiotherapy (RT) is essential in treating abdominal and pelvic cancers but often damages the healthy tissues, particularly the intestines, leading to radiation-induced toxicities with limited treatment options. While the immune system is known to help regulate tissue damage, immune mechanisms involved in RT-induced intestinal toxicity are not fully understood. Following CT-guided localised intestinal irradiation, single-cell RNA sequencing (scRNA-seq) and flow cytometry revealed RT-induced chemokine-dependent recruitment of innate immune cells. Deletion of C-C chemokine receptor (Ccr)1, Ccr2, Ccr3 and Ccr5, blocked recruitment and worsened radiation induced toxicities, suggesting an important role for an innate immune cell population in limiting RT-mediated bowel damage. Furthermore, CCR2-deficient mice showed exacerbated weight loss and intestinal permeability, while the transfer of Ly6C+ monocytes alleviated symptoms. Mechanistically, IL-17 cytokine production by group 3 innate lymphoid cells (ILC3s), a critical factor in maintaining intestinal barrier integrity, was found to be reduced in irradiated CCR2-/-, however the transfer of Ly6C+ monocytes resulted in increased IL-17 levels. These findings demonstrate the critical importance of CCR2-mediated monocyte recruitment in mitigating RT-induced toxicities. One Sentence SummaryCCR2-mediated monocyte recruitment protects against RT-induced intestinal toxicity via IL-17, highlighting a therapeutic target.
- organism: mouse
- assay: scRNA-seq
- assay: flow cytometry
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell-cell communication
- approach: experimental assay
- approach: statistical model
- Citations
- 5
- FWCI
- 2.84
- Field percentile
- top 9%
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