炎症体
铜绿假单胞菌
恶化
上睑下垂
囊性纤维化
病菌
微生物学
免疫学
免疫系统
分泌物
生物
医学
炎症
细菌
内科学
遗传学
作者
Kelsey E. Huus,Julie Joseph,Li Zhang,Alex Wong,Shawn D. Aaron,Thien‐Fah Mah,Subash Sad
出处
期刊:Journal of Immunology
[American Association of Immunologists]
日期:2016-02-20
卷期号:196 (7): 3097-3108
被引量:41
标识
DOI:10.4049/jimmunol.1501642
摘要
Abstract Immune recognition of pathogen-associated ligands leads to assembly and activation of inflammasomes, resulting in the secretion of inflammatory cytokines IL-1β and IL-18 and an inflammatory cell death called pyroptosis. Inflammasomes are important for protection against many pathogens, but their role during chronic infectious disease is poorly understood. Pseudomonas aeruginosa is an opportunistic pathogen that persists in the lungs of cystic fibrosis (CF) patients and may be responsible for the repeated episodes of pulmonary exacerbation characteristic of CF. P. aeruginosa is capable of inducing potent inflammasome activation during acute infection. We hypothesized that to persist within the host during chronic infection, P. aeruginosa must evade inflammasome activation, and pulmonary exacerbations may be the result of restoration of inflammasome activation. We therefore isolated P. aeruginosa from chronically infected CF patients during stable infection and exacerbation and evaluated the impact of these isolates on inflammasome activation in macrophages and neutrophils. P. aeruginosa isolates from CF patients failed to induce inflammasome activation, as measured by the secretion of IL-1β and IL-18 and by pyroptotic cell death, during both stable infection and exacerbation. Inflammasome evasion likely was due to reduced expression of inflammasome ligands and reduced motility and was not observed in environmental isolates or isolates from acute, non-CF infection. These results reveal a novel mechanism of pathogen adaptation by P. aeruginosa to avoid detection by inflammasomes in CF patients and indicate that P. aeruginosa–activated inflammasomes are not involved in CF pulmonary exacerbations.
科研通智能强力驱动
Strongly Powered by AbleSci AI