The link between neutrophils, neutrophil extracellular traps, and NLRP3 inflammasomes: The dual effect of CD177 and its therapeutic potential in acute respiratory distress syndrome/acute lung injury
DOI:
https://doi.org/10.17305/bb.2023.10101Keywords:
Acute respiratory distress syndrome (ARDS), CD177, NLRP3, neutrophil extracellular traps (NETs), reactive oxygen species (ROS)Abstract
Neutrophils are important inflammatory effector cells that protect against foreign invasion but also cause self-harm. Numerous
neutrophils infiltrate the lungs in acute respiratory distress syndrome/acute lung injury (ARDS/ALI) patients. However, the exact
impact of neutrophil infiltration on ARDS’s onset and progression remains unclear. To investigate this, we analyzed two ARDS-related
datasets from the Gene Expression Omnibus public database and discovered an association between CD177, a neutrophil-specific
surface protein, and ARDS progression. We used quantitative flow cytometry to assess CD177+ neutrophils in the peripheral blood of
clinical ARDS patients vs healthy controls, finding a significant increase in CD177+ neutrophils percentage among total neutrophils in
ARDS patients. This finding was further confirmed in ALI mouse models. Subsequent animal experiments showed that anti-CD177
effectively reduces pulmonary edema, neutrophil infiltration, and inflammatory cytokine release, along with a decrease in reactive
oxygen species (ROS) and myeloperoxidase (MPO) levels. We also established an in vitro co-culture system to mimic neutrophil and
lung epithelial cell interactions. In the anti-CD177 group, we observed decreased expression of NLRP3, caspase 1, peptidyl arginine
deiminase (PAD4), MPO, and ROS, along with a reduction in certain inflammatory cytokines. These results indicate a crucial role for the
CD177 gene in ARDS’s development and progression. Inhibiting CD177 may help mitigate excessive activation of NLRP3 inflammasomes, ROS, and neutrophil extracellular traps (NETs), thus alleviating ARDS.
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Data Availability Statement
The data that supports the findings of this study is available upon a reasonable request from the corresponding and first authors.
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Copyright (c) 2024 Jingying li, Zhansheng Fang, Shumin Xu, Haiwei Rao, Junzhe Liu, Kunjian Lei, Lufei Yang, Chong Wang, Zhenguo Zeng
This work is licensed under a Creative Commons Attribution 4.0 International License.