对银屑病患者外周血中性粒细胞胞外诱捕网形成的观察
Observation on formation of neutrophil extracellular traps in peripheral blood of patients with psoriasis
屈小燕 1陈盼 1倪文琼 1肖辉1
作者信息
- 1. 郑州大学附属郑州中心医院皮肤科,郑州 450007
- 折叠
摘要
目的:探索中性粒细胞胞外诱捕网(NETs)在银屑病患者病情评估中的临床应用价值.方法:收集63例银屑病患者及27例健康体检者外周血各2 ml,密度梯度离心法分离外周血中性粒细胞,免疫荧光染色观察NETs形成情况,计算NETs数量及荧光强度,并与临床分型、疾病严重程度及炎症指标进行相关性分析.收集其中5例银屑病患者皮损组织,免疫荧光法观察NETs.结果:银屑病患者外周血自发NETs的比例及荧光强度显著高于健康对照者,且与银屑病PASI评分呈正相关.合并代谢异常或TNF-α异常的银屑病患者中NETs生成高于不合并代谢异常或TNF-α正常的银屑病患者.银屑病皮损中的NETs表达增多.结论:NETs水平与银屑病、银屑病合并代谢异常患者的疾病严重程度相关,或可反映银屑病及银屑病代谢共病的炎症状态用于疾病评估.
Abstract
Objective:To explore the clinical application value of neutrophil extracellular traps(NETs)in the evaluation of psoriasis patients.Methods:Peripheral blood(2 ml)of 63 patients with psoriasis and 27 healthy controls were collected,neutrophils were isolated by density gradient method,and the formation of NETs was observed by immunofluorescence staining.Calculated the pro-portion and fluorescence intensity of NETs,and analyzed their correlation with clinical classification,severity and serological indica-tors.Skin lesions of 5 patients with psoriasis were collected,and the NETs were observed by immunofluorescence method.Results:Proportion and fluorescence intensity of spontaneous NETs in patients with psoriasis were significantly higher than those in healthy con-trols,and were positively correlated with the PASI scores.Production of NETs in psoriasis patients with metabolic abnormalities or TNF-α abnormalities was higher than that in psoriasis patients without metabolic abnormalities or TNF-α normalcy.Expressions of NETs in psoriatic lesions were increased.Conclusion:Levels of NETs are correlated with disease severity of psoriasis and patients with metabolic abnormalities,and may be used as a clinical indicator to reflect the inflammatory state of psoriasis and metabolic comor-bidity of psoriasis for disease evaluation.
关键词
银屑病/中性粒细胞胞外诱捕网/疾病严重性/代谢相关共病Key words
Psoriasis/Neutrophil extracellular traps/Disease severity/Comorbidity引用本文复制引用
基金项目
河南省医学科技攻关计划(联合共建项目)(LH-GJ20191048)
出版年
2024
国家科技期刊平台
NSTL
万方数据