Detection of type2 biomarkers for response in COPD
Detection of type2 biomarkers for response in COPD
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检测 COPD 反应的 2 型生物标志物
DOI：
10.1088/1752-7163/ab71a4
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发表时间：
2020
影响因子：
3.8
通讯作者：
Matsunaga Kazuto
中科院分区：
文献类型：
--
作者：
Yamaji Yoshikazu;Oishi Keiji;Hamada Kazuki;Ohteru Yuichi;Chikumoto Ayumi;Murakawa Keita;Matsuda Kazuki;Suetake Ryo;Murata Yoriyuki;Ito Kosuke;Asami-Noyama Maki;Edakuni Nobutaka;Hirano Tsunahiko;Matsunaga Kazuto
慢性阻塞性肺疾病（COPD）是一种异质性炎症性肺病。重要的是要确定谁会对抗炎治疗作出反应的患者。这项前瞻性研究旨在确定炎症生物标志物如何用于预测吸入性皮质类固醇（ICS）对症状和肺功能的潜在影响。我们评估了血液嗜酸性粒细胞水平，50 ml s-1流速下呼出的一氧化氮分数（FeNO），肺泡一氧化氮浓度（Calv），免疫球蛋白E和特应性在43例有症状的COPD患者中的表达水平，并将这些表达水平与COPD评估试验（CAT）和肺功能的变化相关联。环索奈德400 μg d− 1支气管扩张剂治疗。CAT评分和FEV 1的平均变化分别为-1.4分和+90 ml，变化水平存在显著差异。FeNO在预测CAT评分和FEV 1改善方面的受试者工作特征曲线下面积（AUC）为0.92。Calv和血液嗜酸性粒细胞的AUC分别为0.82和0.65。选择了两个临界值，一个对应于与应答纳入确定性相关的高FeNO值（FeNO= 35 ppb;灵敏度= 0.67，特异性= 0.94;阳性预测值= 0.80），另一个对应于应答排除确定性（FeNO= 20 ppb;灵敏度= 1.00，特异性= 0.58，阴性预测值= 1.00）。基线FeNO值与FEV 1和CAT的变化显著相关（所有p< 0.0001）。FeNO可能是一个有价值的生物标志物，用于识别症状性COPD患者中对类固醇治疗有反应的个体。本研究在日本大学医院医学信息网络（UMIN）进行了前瞻性注册（方案ID 000010711）。
Chronic obstructive pulmonary disease (COPD) is a heterogeneous inflammatory lung disease. It is important to identify patients who would respond to anti-inflammatory treatment. This prospective study aims to determine how inflammatory biomarkers could be used to predict the potential effect of inhaled corticosteroids (ICS) in terms of symptoms and lung function. We evaluated the levels of blood eosinophils, exhaled nitric oxide fraction at a flow rate of 50 ml s− 1 (FeNO), alveolar nitric oxide concentration (Calv), immunoglobulin E and atopy in 43 patients with symptomatic COPD and correlated these expression levels with the changes in the COPD Assessment Test (CAT) and lung function by 12 weeks of add-on therapy with ciclesonide 400 μg d− 1 on bronchodilators. The mean changes in the CAT score and FEV 1 were− 1.4 points and+ 90 ml, respectively, with significant variation in the levels of change. The area under the receiver's operating characteristic curve (AUC) for FeNO in predicting improvements in both the CAT score and FEV 1 was 0.92. The AUC for Calv and blood eosinophils was 0.82 and 0.65. Two cutoffs were chosen, one corresponding to a high value of FeNO associated with certainty for response inclusion (FeNO= 35 ppb; sensitivity= 0.67, specificity= 0.94; positive predictive value= 0.80) and the other with certainty for response exclusion (FeNO= 20 ppb; sensitivity= 1.00, specificity= 0.58, negative predictive value= 1.00). Baseline FeNO values were significantly correlated with changes in FEV 1 and CAT (all p< 0.0001). FeNO could be a valuable biomarker for identifying individuals who respond to steroid therapy among patients with symptomatic COPD in terms of symptoms and airflow limitation. The study was prospectively registered with the University Hospital Medical Information Network (UMIN) in Japan (protocol ID 000010711).
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影响因子：
3.8
作者：
Pizzini, Alex;Filipiak, Wojciech;Bellmann-Weiler, Rosa
通讯作者：
Bellmann-Weiler, Rosa
呼出的挥发性有机化合物能够区分中性粒细胞性哮喘和嗜酸性粒细胞性哮喘
DOI：
10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a2373
发表时间：
2019
期刊：
A93. ASTHMA BREAKTHROUGHS: THE ROLE OF THE IMMUNE SYSTEM IN HUMAN ASTHMA
影响因子：
--
作者：
F. Schleich;D. Zanella;Pierre‐Hugues Stefanuto;J. Dallinga;M. Henket;E. Wouters;K. van Steen;F. V. van Schooten;J.;R. Louis
通讯作者：
R. Louis
影响因子：
24.3
作者：
Crim, C.;Calverley, P. M. A.;Vestbo, J.
通讯作者：
Vestbo, J.
影响因子：
9.6
作者：
Hubbard, Richard;Tattersfield, Anne;Fletcher, Astrid
通讯作者：
Fletcher, Astrid
DOI：
10.1164/rccm.201811-2210oc
发表时间：
2019-08-15
影响因子：
24.7
作者：
Schleich, Florence N.;Zanella, Delphine;Louis, Renaud
通讯作者：
Louis, Renaud