Unraveling heterogeneity in pediatric atopic dermatitis:: identification of serum biomarker based patient clusters

Publication date

2022-01

Authors

Bakker, Daphne S
de Graaf, MISNI 0000000395808952
Nierkens, StefanORCID 0000-0003-3406-817XISNI 0000000395421272
Delemarre, Eveline M.ISNI 0000000387375042
Knol, Edward FORCID 0000-0001-7368-9820ISNI 0000000390631879
van Wijk, FemkeORCID 0000-0001-8343-1356ISNI 0000000391770491
de Bruin-Weller, MarjoleinORCID 0000-0002-1249-6993ISNI 0000000396350234
Drylewicz, JuliaORCID 0000-0002-9434-8459ISNI 0000000357090505
Thijs, Judith L.

Editors

Advisors

Supervisors

Document Type

Article

Collections

Open Access logo

License

cc_by_nc_nd

Abstract

Background Increasing evidence shows that pediatric atopic dermatitis (AD) differs from adult AD on a biologic level. Broad biomarker profiling across a wide range of ages of pediatric patients with AD is lacking. Objective Our aim was to identify serum biomarker profiles in children with AD aged 0 to 17 years and compare these profiles with those previously found in adults with AD. Methods Luminex multiplex immunoassays were used to measure 145 biomarkers in serum from 240 children with AD (aged 0-17 years). Principal components analysis followed by unsupervised k-means clustering were performed to identify patient clusters. Patients were stratified into age groups (0-4 years, 5-11 years, and 12-17 years) to assess association between age and cluster membership. Results Children aged 0 to 4 years had the highest levels of TH1 cell–skewing markers and lowest levels of TH17 cell–related markers. TH2 cell–related markers did not differ significantly between age groups. Similar to the pattern in adults, cluster analysis identified 4 distinct pediatric patient clusters (TH2 cell/retinol–dominant, skin-homing–dominant, TH1 cell/TH2 cell/TH17 cell/IL-1–dominant, and TH1 cell/IL-1/eosinophil–inferior clusters). Only the TH1 cell/TH2 cell/TH17 cell/IL-1–dominant cluster resembled 1 of the previously identified adult clusters. Although no association with age or age of onset seemed to be found, disease severity was significantly associated with the skin-homing–dominant cluster. Conclusion Four distinct patient clusters based on serum biomarker profiles could be identified in a large cohort of pediatric patients with AD, of which 1 was similar to previously identified adult clusters. The identification of endotypes driven by distinct underlying immunopathologic pathways might be useful to define pediatric patients with AD who are at risk of persistent disease and may necessitate different targeted treatment approaches.

Keywords

Atopic dermatitis, biomarkers, cluster analysis, endotypes, pediatric, personalized medicine, principal components analysis

Citation

Bakker, D, de Graaf, M, Nierkens, S, Delemarre, E, Knol, E, van Wijk, F, de Bruin-Weller, M, Drylewicz, J & Thijs, J 2022, 'Unraveling heterogeneity in pediatric atopic dermatitis: identification of serum biomarker based patient clusters', Journal of Investigative Dermatology, vol. 149, no. 1, pp. 125-134. https://doi.org/10.1016/j.jaci.2021.06.029