囊性纤维化
医学
氧化应激
支气管肺泡灌洗
谷胱甘肽
胃肠病学
肺
内科学
炎症
呼吸道疾病
纤维化
置信区间
病理
内分泌学
生物化学
酶
生物
作者
Jeremy Hull,Peter Vervaart,Keith Grimwood,P. D. Phelan
出处
期刊:Thorax
[BMJ]
日期:1997-06-01
卷期号:52 (6): 557-560
被引量:133
摘要
It has been suggested that oxidative stress contributes to lung injury in cystic fibrosis. There is, however, no direct evidence of increased pulmonary oxidative stress in cystic fibrosis nor of the effects of inflammation on the major pulmonary antioxidant, glutathione. A study was undertaken to measure these parameters in infants and young children in the presence or absence of pulmonary inflammation.Thirty two infants and young children with cystic fibrosis of mean (SD) age 21.4 (15.3) months (range 2-54) and seven non-cystic fibrosis control subjects of mean (SD) age 21.0 (21.2) months (range 2-54) were studied using bronchoalveolar lavage (BAL). On the basis of the BAL findings the cystic fibrosis group was divided into those with (CF-I) and those without pulmonary inflammation (CF-NI). Levels of lipid hydroperoxide, total glutathione, and gamma-glutamyl transpeptidase (gamma-GT) were then measured in the BAL fluid.The concentrations of lipid hydroperoxide and gamma-GT in the epithelial lining fluid were significantly increased in the CF-I group compared with the control and CF-NI groups, each of which had similar values for these parameters (ratio of geometric means for CF-I group versus control for lipid hydroperoxide 5.4 (95% confidence interval (CI) 1.8 to 15.8) and for gamma-GT 5.2 (95% CI 1.4 to 19.4)). The glutathione concentration tended to be lower in the CF-I subjects but the difference did not reach statistical significance.These results demonstrate that the airways in patients with cystic fibrosis are exposed to increased oxidative stress which appears to be a consequence of pulmonary inflammation rather than part of the primary cystic fibrosis defect. The increase in gamma-GT in the CF-I group suggests a mechanism by which extracellular glutathione could be utilised by airway epithelial cells.
科研通智能强力驱动
Strongly Powered by AbleSci AI