摘要
目的通过病例-对照研究,探究人体血浆中白细胞介素-11(IL-11)含量与矽肺患病风险之间的关联。方法纳入已确诊男性矽肺患者65名为矽肺组,按年龄及性别匹配健康工人43名作为对照组,收集研究对象基本信息、体格检查及肺功能检查结果,通过酶联免疫吸附试验(ELISA)测定研究对象外周血浆IL-11含量。结果矽肺组血浆IL-11含量较对照组明显升高(t=7.60,P<0.05)。多元logistic回归分析结果表明,血浆IL-11含量升高,与矽肺患病风险呈正向关联(OR=1.09,95%CI:1.06~1.14)。受试者工作特征曲线(ROC曲线)结果表明,血浆IL-11含量作为独立指标诊断矽肺患病,其曲线下面积(AUC)为0.932,灵敏度为93.0%,特异度为80.0%。血浆IL-11含量联合肺功能指标共同诊断矽肺患病时,可明显提高其诊断效能,AUC为0.966,灵敏度为95.3%,特异度为90.8%(z=-2.51,P<0.05)。限制性立方样条图(RCS)结果表明,矽肺组血浆IL-11含量与一秒率(FEV1/FVC%)呈负向关联。结论矽肺患者外周血浆中IL-11含量明显增加,且血浆IL-11含量升高可增加矽肺患病风险。血浆IL-11可作为诊断矽肺患病的潜在生物标志物。
Objective To investigate the relationship between plasma IL-11 and risk of silicosis in a casecontrol study.Methods We enrolled 65 silicosis and 43 age/gender-matched healthy controls in this study.The level of IL-11 in plasma were determined by enzyme linked immunosorbent assay(ELISA).Logistic regression model was used to assess the relationships between plasma IL-11 and the risk of silicosis.Results Compared with healthy controls,the level of plasma IL-11 was significantly increased in silicosis cases(t=7.60,P<0.05),and the increasing IL-11 was positively associated with the risk of silicosis.Multiple logistic regression analysis showed that elevated plasma IL-11increased the risk of silicosis(OR=1.09,95%CI:1.06-1.14).In ROC analyses,we found that plasma IL-11 had93.0%sensitivity and 80%specificity for silicosis,and the area under the curve(AUC)was 0.932.Combined with lung function parameters,the diagnostic efficiency of plasma IL-11 for silicosis had been improved significantly,and AUC was 0.966(z=-2.51,P<0.05).The results of Restricted cubic spline(RCS)showed that plasma IL-11 in silicosis patients was negatively associated with FEV1/FVC%.Conclusion IL-11 was positively associated with increased silicosis risk and might be a potential biomarker for silicosis.
作者
顾沛
徐以菊
叶子
樊烈阳
谢毓佳
张影蝶
尤肖洁
杨诗雨
马继轩
GU Pei;XU Yi-ju;YE Zi;FAN Lie-yang;XIE Yu-jia;ZHANG Ying-die;YOU Xiao-jie;YANG Shi-yu;MA Ji-xuan(Department of Occupational&Environmental Health,School of Public Health,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,Hubei 430030,China)
出处
《工业卫生与职业病》
CAS
2023年第1期5-9,共5页
Industrial Health and Occupational Diseases
基金
国家自然科学基金(81803205,81872593)
武汉科技大学职业危害识别与控制湖北省重点实验室(OHIC2020G01)。