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鉴定与严重嗜酸性粒细胞性哮喘患者对 benralizumab 反应相关的不同表型。

Identification of distinct phenotypes related to benralizumab responsiveness in patients with severe eosinophilic asthma.

机构信息

Faculty of Medicine, Department of Pulmonary Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.

Division of Respiratory Medicine, Hitachi Ltd, Hitachinaka General Hospital, Hitachinaka, Ibaraki, Japan.

出版信息

PLoS One. 2021 Mar 11;16(3):e0248305. doi: 10.1371/journal.pone.0248305. eCollection 2021.

Abstract

PURPOSE

To characterize the clinical phenotypes of severe eosinophilic asthma based on early responsiveness to benralizumab in terms of forced expiratory volume in 1 second (FEV1) improvement.

PATIENTS AND METHODS

Sixty-four participants diagnosed with severe eosinophilic asthma and who had completed 4 months of benralizumab treatment were included in this analysis. Pre-treatment clinical factors were compared between responders and non-responders according to improvements in ACT or FEV1. Correlations between the sums of increased Type 2-related inflammatory parameters and changes of ACT or FEV1 were also evaluated before and after the 4-month treatment. A two-step cluster analysis was performed to identify distinct phenotypes related to benralizumab responsiveness in terms of FEV1.

RESULTS

At the 4-month timepoint, all parameters, except for FeNO, were significantly improved after benralizumab treatment. FEV1 responders were associated with higher levels of Type 2-related inflammatory parameters. An improvement in FEV1 but not in ACT was clearly associated with increases in the sums of increased type 2-related inflammation parameters (p = 0.0001). The cluster analysis identified 5 distinct phenotypes of severe eosinophilic asthma according to the variable FEV1 responsiveness to benralizumab. The greatest response was found in the distinct phenotype of severe eosinophilic asthma, which was characterized by modest increase in total IgE and FeNO relative to blood eosinophils with least exposure to smoking.

CONCLUSION

This study, to the best of our knowledge, is the first cluster analysis to report distinct phenotypes related to clinical benralizumab response in a real-world population with severe eosinophilic asthma. These results may help to predict responsiveness to benralizumab in patients with severe eosinophilic asthma.

摘要

目的

根据第 1 秒用力呼气量(FEV1)改善情况,评估 benralizumab 早期应答情况,对重度嗜酸性粒细胞性哮喘的临床表型进行特征描述。

患者和方法

本分析纳入了 64 名已完成 4 个月 benralizumab 治疗的重度嗜酸性粒细胞性哮喘患者。根据 ACT 或 FEV1 的改善情况,比较应答者和无应答者的治疗前临床因素。还评估了 4 个月治疗前后,2 型相关炎症参数总和的增加与 ACT 或 FEV1 变化之间的相关性。根据 FEV1 对 benralizumab 应答情况,进行两步聚类分析,以确定与 benralizumab 应答相关的不同表型。

结果

在 4 个月时,除 FeNO 外,所有参数在 benralizumab 治疗后均显著改善。FEV1 应答者与较高水平的 2 型相关炎症参数相关。FEV1 的改善而非 ACT 的改善与增加的 2 型相关炎症参数总和的增加明显相关(p = 0.0001)。聚类分析根据 benralizumab 对 FEV1 应答的变异性,确定了 5 种不同的重度嗜酸性粒细胞性哮喘表型。最大的应答见于重度嗜酸性粒细胞性哮喘的独特表型,其特征为总 IgE 和 FeNO 相对于血嗜酸性粒细胞适度增加,吸烟暴露最少。

结论

据我们所知,这项研究是首次在重度嗜酸性粒细胞性哮喘的真实人群中,进行基于临床 benralizumab 应答的聚类分析,报告与表型相关的不同表型。这些结果可能有助于预测重度嗜酸性粒细胞性哮喘患者对 benralizumab 的应答情况。

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