Clinical factors predicting nemolizumab response in atopic dermatitis

Clinical predictors of response to nemolizumab, an anti-IL-31 receptor A antibody, were evaluated in patients with atopic dermatitis (AD). In a retrospective study of 14 Japanese patients, longer disease duration was significantly associated with poor response to treatment. While serum IgE levels and baseline Eczema Area Severity Index (EASI) scores alone were not predictive, their combination with disease duration improved discrimination between responders and nonresponders. Disease duration, serum IgE levels, and baseline EASI scores can be useful to predict nemolizumab efficacy in AD.

Authors

Institutions

Publication Details

Journal
Journal of Allergy and Clinical Immunology Global
Published
2025-03-20
DOI
https://doi.org/10.1016/j.jacig.2025.100457
Citations
3
Primary Topic
Dermatology and Skin Diseases
Type
article
Field-Weighted Citation Impact
6.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical factors predicting nemolizumab response in atopic dermatitis

Satoru Yonekura, Saeko Nakajima, Kenji Kabashima, Yu Sawada et al.
3 citations
Journal of Allergy and Clinical Immunology Global
Dermatology and Skin Diseases
6.01
article

Clinical factors predicting nemolizumab response in atopic dermatitis

Satoru Yonekura, Saeko Nakajima, Kenji Kabashima, Yu Sawada, Yumi Masuo
article en
3 citations

Abstract

Clinical predictors of response to nemolizumab, an anti-IL-31 receptor A antibody, were evaluated in patients with atopic dermatitis (AD). In a retrospective study of 14 Japanese patients, longer disease duration was significantly associated with poor response to treatment. While serum IgE levels and baseline Eczema Area Severity Index (EASI) scores alone were not predictive, their combination with disease duration improved discrimination between responders and nonresponders. Disease duration, serum IgE levels, and baseline EASI scores can be useful to predict nemolizumab efficacy in AD.

Journal of Allergy and Clinical Immunology GlobalVol. 4(2)
Agency for Science, Technology and Research (SG), Kyoto University (JP), Fukuoka University Hospital (JP)
Zero hunger, Good health and well-being
Openalex Percentile: Top 5%
Dermatology and Skin Diseases
6.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Clinical factors predicting nemolizumab response in atopic dermatitis — Satoru Yonekura, Saeko Nakajima, et al. · Journal of Allergy and Clinical Immunology Global (2025) | TGRS Research Map | TGRS