Evidence map›Paper›PMID 41330705›Full record

ArticleAllergy, asthma & immunology research2025

Siglec-8 as a Biomarker for Predicting Anti-IL-5 Response in Severe Asthma.

Youngsoo Lee, Hyunkyung Kim, Chae Eun Lee, Byung-Jae Lee, Min-Hye Kim, So-Young Park, Byung Keun Kim, Sae-Hoon Kim, Sang Hoon Kim, Hye-Kyung Park and 10 more

Registry-linked trialAbstract read
In one paragraph

Article in Allergy, asthma & immunology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05164939 (Precision Medicine Intervention in Severe Asthma), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05164939 unknown statusnot on this map

Precision Medicine Intervention in Severe Asthma (PRISM) Study: Molecular Phenotyping of Participants With Severe Asthma to Determine Response to Biologic Therapies and Stability

TypeobservationalSponsorAsan Medical CenterRan2020 to 2022Enrolled200ConditionsSevere Asthma
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Youngsoo LeeDepartment of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Korea.ORCID https://orcid.org/0000-0001-8918-9353
Hyunkyung KimDepartment of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-0065-9214
Chae Eun LeeDepartment of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Byung-Jae LeeDepartment of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9768-4933
Min-Hye KimDepartment of Internal Medicine, Ewha Womans University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1775-3733
So-Young ParkDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, Korea.ORCID https://orcid.org/0000-0002-5224-3077
Byung Keun KimDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5147-6306
Sae-Hoon KimDivision of Allergy and Clinical Immunology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0002-2572-5302
Sang Hoon KimDepartment of Internal Medicine, Nowon Eulji Hospital, Eulji University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-4105-0552
Hye-Kyung ParkDepartment of Internal Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0003-4065-2962
Taehoon LeeDepartment of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.ORCID https://orcid.org/0000-0002-9224-0866
Ji-Su ShimDepartment of Allergy and Clinical Immunology, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8846-0364
Chan Sun ParkDepartment of Internal Medicine, Inje University Haeundae Paik Hospital, Busan, Korea.
Han Ki ParkDivision of Allergy and Clinical Immunology, Department of Internal Medicine, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, Korea.ORCID https://orcid.org/0000-0002-5460-9917
Jae-Woo KwonDepartment of Allergy and Clinical Immunology, Kangwon National University School of Medicine, Chuncheon, Korea.ORCID https://orcid.org/0000-0003-1639-3606
Sujeong KimDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.ORCID https://orcid.org/0000-0002-2494-9216
Young-Hee NamDepartment of Internal Medicine, Dong-A University College of Medicine, Busan, Korea.
Min-Suk YangDepartment of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-9861-0530
Jae-Woo JungDepartment of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea.
Tae-Bum KimDepartment of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea. tbkim@amc.seoul.kr.ORCID https://orcid.org/0000-0001-5663-0640

Funding

Korea Health Industry Development Institute RS-2024-00403700
6 · The paper itself

Abstract

purposeBiologic 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.

methodsThis 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.

resultsData 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;

conclusionsBaseline 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.

trial registrationClinicalTrials.gov Identifier: NCT05164939.

Indexed as

Asthmabiological therapybiomarkerseosinophilsIL-5receptors, immunologictreatment

Identifiers

PMID41330705
PMCPMC12683740

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.