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dc.contributor.author김민혜*
dc.date.accessioned2025-12-24T16:30:53Z-
dc.date.available2025-12-24T16:30:53Z-
dc.date.issued2025*
dc.identifier.issn2092-7355*
dc.identifier.issn2092-7363*
dc.identifier.otherOAK-38266*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/273536-
dc.description.abstractPurpose: Biologic therapies have revolutionized the management of severe asthma (SA), yet the variability in patient responses necessitates identification/verification of predictive biomarkers. Siglec-8, a sialic acid-binding immunoglobulin-like lectin 8 selectively that is expressed on eosinophils, could serve as a biomarker for predicting responsiveness to biologics in patients with SA. It is necessary to evaluate the predictive value of baseline serum Siglec-8 levels compared to other parameters, including blood eosinophil counts, in determining clinical responses to anti-interleukin 5 (IL-5) therapies in patients with SA. Methods: This study included 68 patients with SA from the Precision Medicine Intervention in Severe Asthma study, who had initiated anti-IL-5 therapies and whose baseline serum Siglec-8 levels were measured. Clinical outcomes were assessed at 6 and 12 months following treatment. Excellent responders were defined as patients with zero exacerbations during follow-up. Multivariable logistic regression and receiver operating characteristic curve analyses were performed to compare the predictive performance of serum Siglec-8 levels versus that of other parameters. Results: Data from 29 patients treated with mepolizumab and 39 patients treated with reslizumab were analyzed. Baseline serum Siglec-8 levels showed a trend toward better diagnostic performance compared to blood eosinophil counts for predicting 6- and 12-month clinical responses (area under the curve, 0.931 vs. 0.836; P = 0.08 for 6-month responders; and 0.811 vs. 0.628, P = 0.05 for 12-month excellent responders). Additionally, the ratio of serum Siglec-8 levels to blood eosinophil counts significantly increased after 6 months of anti-IL-5 therapy (P < 0.001). Conclusions: Baseline serum Siglec-8 levels showed a trend toward better predictive performance than other parameters for predicting 6- and 12-month responses to anti-IL-5 therapies in patients with SA. These findings suggest that Siglec-8 may have the potential as a biomarker for guiding treatment decisions, although further validation in larger, prospective studies is warranted.*
dc.languageEnglish*
dc.publisherKOREAN ACAD ASTHMA ALLERGY &amp*
dc.publisherCLINICAL IMMUNOLOGY*
dc.subjectAsthma*
dc.subjectbiological therapy*
dc.subjectIL-5*
dc.subjectreceptors, immunologic*
dc.subjecteosinophils*
dc.subjectbiomarkers*
dc.subjecttreatment*
dc.titleSiglec-8 as a Biomarker for Predicting Anti-IL-5 Response in Severe Asthma*
dc.typeArticle*
dc.relation.issue6*
dc.relation.volume17*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.indexKCI*
dc.relation.startpage742*
dc.relation.lastpage753*
dc.relation.journaltitleALLERGY ASTHMA & IMMUNOLOGY RESEARCH*
dc.identifier.doi10.4168/aair.2025.17.6.742*
dc.identifier.wosidWOS:001629520500006*
dc.identifier.scopusid2-s2.0-105023493804*
dc.author.googleLee, Youngsoo*
dc.author.googleKim, Hyunkyung*
dc.author.googleLee, Chae Eun*
dc.author.googleLee, Byung-Jae*
dc.author.googleKim, Min-Hye*
dc.author.googlePark, So-Young*
dc.author.googleKim, Byung Keun*
dc.author.googleKim, Sae-Hoon*
dc.author.googleKim, Sang Hoon*
dc.author.googlePark, Hye-Kyung*
dc.author.googleLee, Taehoon*
dc.author.googleShim, Ji-Su*
dc.author.googlePark, Chan Sun*
dc.author.googlePark, Han Ki*
dc.author.googleKwon, Jae-Woo*
dc.author.googleKim, Sujeong*
dc.author.googleNam, Young-Hee*
dc.author.googleYang, Min-Suk*
dc.author.googleJung, Jae-Woo*
dc.author.googleKim, Tae-Bum*
dc.contributor.scopusid김민혜(58045929900)*
dc.date.modifydate20261022115348*
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의과대학 > 의학과 > Journal papers
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