Kang Yu Ri, Kim Hyunkyoung, Lee Chae Eun, Jung Jae-Woo, Moon Ji-Yong, Park So Young, Kim Sae-Hoon, Yang Min-Suk, Kim Byung Keun, Kwon Jae-Woo, Park Hye-Kyung, Nam Young-Hee, Cho Young-Joo, Lee Taehoon, Adcock Ian M, Bhavsar Pank, Chung Kian Fan, Kim Tae-Bum
Division of Allergy and Respiratory Medicine, Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, South Korea.
Department of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
World Allergy Organ J. 2025 Jan 9;18(1):100990. doi: 10.1016/j.waojou.2024.100990. eCollection 2025 Jan.
Eosinophils are crucial in allergic inflammation, and their correlation with asthma severity has made them a focal point in predicting treatment outcomes. Blood eosinophil count is a commonly utilized marker. However, its limitations have prompted alternative biomarker exploration, such as eosinophil-derived neurotoxin (EDN).
This research was conducted over 24 weeks on 56 patients with severe asthma treated with mepolizumab, reslizumab, and dupilumab. We aimed to evaluate the clinical significance of blood eosinophil count and their potential, including those of blood EDN levels and urine EDN values as biomarkers for predicting treatment response.
The analysis encompassed examining correlations between biomarkers and clinical features, including exacerbation rates and lung function, through ELISA assays and subsequent statistical analyses. The study protocol is registered at ClinicalTrials.gov (NCT05164939).
The findings underscore strong correlations between serum EDN levels, blood eosinophil counts, and treatment responses, with EDN demonstrating comparable predictive capabilities to blood eosinophil counts to determine treatment responses. Different biologics exhibited varying efficacy regarding baseline eosinophil counts and EDN levels.
Blood eosinophil counts and EDN levels show potential as predictive markers for treatment responses in patients with severe asthma undergoing biologic therapies. However, further comprehensive studies are warranted to enhance the reliability and applicability of EDN as an effective asthma treatment biomarker.
嗜酸性粒细胞在过敏性炎症中起关键作用,其与哮喘严重程度的相关性使其成为预测治疗结果的焦点。血液嗜酸性粒细胞计数是常用的标志物。然而,其局限性促使人们探索替代生物标志物,如嗜酸性粒细胞衍生神经毒素(EDN)。
本研究对56例接受美泊利珠单抗、瑞利珠单抗和度普利尤单抗治疗的重度哮喘患者进行了24周的观察。我们旨在评估血液嗜酸性粒细胞计数的临床意义及其潜力,包括血液EDN水平和尿液EDN值作为预测治疗反应生物标志物的潜力。
通过酶联免疫吸附测定(ELISA)和后续统计分析,分析生物标志物与临床特征(包括急性加重率和肺功能)之间的相关性。该研究方案已在ClinicalTrials.gov(NCT05164939)注册。
研究结果强调了血清EDN水平、血液嗜酸性粒细胞计数与治疗反应之间的强相关性,EDN在确定治疗反应方面显示出与血液嗜酸性粒细胞计数相当的预测能力。不同的生物制剂在基线嗜酸性粒细胞计数和EDN水平方面表现出不同的疗效。
血液嗜酸性粒细胞计数和EDN水平有望作为接受生物治疗的重度哮喘患者治疗反应的预测标志物。然而,需要进一步开展全面研究,以提高EDN作为有效哮喘治疗生物标志物的可靠性和适用性。