The protective correlates of Mycobacterium tuberculosis (Mtb) infection-elicited host immune responses are incompletely understood. Here, we report pro-pathogenic crosstalk involving Ly6G(+) granulocytes (Ly6G(+)Gra), IL-17, and COX2. We show that in the lungs of Mtb-infected wild-type mice, either BCG-vaccinated or not, most intracellular bacilli are Ly6G(+)Gra-resident 4 weeks post-infection onwards. In the genetically susceptible ifng(-/-) mice, excessive Ly6G(+)Gra infiltration correlates with severe bacteremia. Neutralizing IL-17 (anti-IL17mAb) and COX2 inhibition by celecoxib reverse Ly6G(+)Gra infiltration, associated pathology, and death in ifng(-/-) mice. Surprisingly, Ly6G(+)Gra also serves as the major source of IL-17 in the lungs of Mtb-infected WT or ifng(-/-) mice. The IL-17-COX2-Ly6G(+)Gra interplay also operates in WT mice. Inhibiting RORγt, the key transcription factor for IL-17 production or COX2, reduces the bacterial burden in Ly6G(+)Gra, leading to reduced bacterial burden and pathology in the lungs of WT mice. In the Mtb-infected WT mice, COX2 inhibition abrogates IL-17 levels in the lung homogenates and significantly enhances BCG's protective efficacy, mainly by targeting the Ly6G(+)Gra-resident Mtb pool, a phenotype also observed when IL-17 is blocked by RORγt inhibitor. Furthermore, in pulmonary TB patients, high neutrophil count and IL-17 correlated with adverse treatment outcomes. Together, our results suggest that IL-17 and PGE2 are the negative correlates of protection, and we propose targeting the pro-pathogenic IL-17-COX2-Ly6G(+)Gra axis for TB prevention and therapy.
Ly6G(+) granulocytes-derived IL-17 limits protective host responses and promotes tuberculosis pathogenesis.
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作者:Sharma Priya, Sharma Raman Deep, Sarkar Binayak, Panwar Varnika, Das Mrinmoy, Singh Lakshya Veer, Jain Neharika, Chaturvedi Shivam, Mehra Lalita, Rathee Aditya, Sharma Shilpa, Foo Shihui, Lee Andrea, N Pavan Kumar, Das Prasenjit, Viswanathan Vijay, Kornfeld Hardy, Howland Shanshan W, Babu Subash, Nandicoori Vinay Kumar, Singhal Amit, Kumar Dhiraj
| 期刊: | Elife | 影响因子: | 6.400 |
| 时间: | 2026 | 起止号: | 2026 Feb 5; 13:RP100966 |
| doi: | 10.7554/eLife.100966 | ||
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