Exploring geographic differences in IgE response through network and manifold analyses

dc.citation.issue1
dc.citation.volume157
dc.contributor.authorCucco A
dc.contributor.authorPearce N
dc.contributor.authorSimpson A
dc.contributor.authorPembrey L
dc.contributor.authorMpairwe H
dc.contributor.authorFigueiredo CA
dc.contributor.authorCooper PJ
dc.contributor.authorDouwes J
dc.contributor.authorBrooks C
dc.contributor.authorAdcock IM
dc.contributor.authorKermani NZ
dc.contributor.authorRoberts GDM
dc.contributor.authorMurray CS
dc.contributor.authorCustovic A
dc.contributor.authorFontanella S
dc.contributor.authorWASP Study Group
dc.contributor.authorSTELAR/UNICORN Consortium
dc.contributor.authorU-BIOPRED Consortium
dc.date.accessioned2026-01-13T22:01:38Z
dc.date.issued2026-01-01
dc.description.abstractBackground: Component-resolved diagnostics allow detailed assessment of IgE sensitization to multiple allergenic molecules (component-specific IgEs, or c-sIgEs) and may be useful for asthma diagnosis. However, to effectively use component-resolved diagnostics across diverse settings, it is crucial to account for geographic differences. Objective: We investigated spatial determinants of c-sIgE networks to facilitate development of diagnostic algorithms applicable globally. Methods: We used multiplex component-resolved diagnostics array to measure c-sIgE to 112 proteins in an international collaboration of several studies: WASP (World Asthma Phenotypes; United Kingdom, New Zealand, Brazil, Ecuador, and Uganda), U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Disease Outcomes; 7 European countries), and MAAS (Manchester Asthma and Allergy Study, a UK population-based birth cohort). Hierarchical clustering on low-dimensional representation of co-occurrence networks ascertained sensitization and c-sigE clusters across populations. Cross-country comparisons focused on a common subset of 18 c-sIgEs. We investigated sensitization networks across regions in relation to asthma severity. Results: Sensitization profiles shared similarities across regions. For 18 c-sIgEs shared across study populations, the response structure enabled differentiation between different geographic areas and study designs, revealing 3 clusters: (1) Uganda, Ecuador, and Brazil, (2) U-BIOPRED children and adults, and (3) New Zealand, United Kingdom, and MAAS. Spectral clustering identified differences between clusters. We observed constant, almost parallel shifts between severe and nonsevere asthma in each country. Conclusions: Patterns of c-sIgE response reflect geographic location and study design. However, despite geographic differences in c-sIgE networks, there is a remarkably consistent shift between networks of subjects with nonsevere and severe asthma.
dc.description.confidentialfalse
dc.edition.editionJanuary 2026
dc.format.pagination262-272
dc.identifier.citationCucco A, Pearce N, Simpson A, Pembrey L, Mpairwe H, Figueiredo CA, Cooper PJ, Douwes J, Brooks C, Adcock IM, Kermani NZ, Roberts GDM, Murray CS, Custovic A, Fontanella S, Turner S, Holloway JW, Arshad SH, Curtin JA, Woodcock A, Granell R, Bush A, Saglani S, Ahmed H, Auffray C, Bakke P, Bansal AT, Baribaud F, Bates S, Bel EH, Bigler J, Bisgaard H, Boedigheimer MJ, Bønnelykke K, Brandsma J, Brinkman P, Bucchioni E, Burg D, Bush A, Caruso M, Chaiboonchoe A, Chanez P, Chung FK, Compton CH, Corfield J, D'Amico A, Dahlén B, Dahlén SE, De Meulder B, Djukanovic R, Erpenbeck VJ, Erzen D, Fichtner K, Fitch N, Fleming LJ, Formaggio E, Fowler SJ, Frey U, Gahlemann M, Geiser T, Goss V, Guo Y, Hashimoto S, Haughney J, Hedlin G, Hekking PW, Higenbottam T, Hohlfeld JM, Holweg C, Horváth I, Howarth P, James AJ, Knowles RG, Knox AJ, Krug N, Lefaudeux D, Loza MJ, Lutter R, Manta A, Masefield S, Matthews JG, Mazein A, Meiser A, Middelveld RJM, Miralpeix M, Montuschi P, Mores N, Musial J, Myles D, Pahus L, Pandis I, Pavlidis S, Postle A, Powel P, Praticò G, Puig Valls M, Rao N, Riley J, Roberts A, Rowe A. (2026). Exploring geographic differences in IgE response through network and manifold analyses. Journal of Allergy and Clinical Immunology. 157. 1. (pp. 262-272).
dc.identifier.doi10.1016/j.jaci.2025.05.032
dc.identifier.eissn1097-6825
dc.identifier.elements-typejournal-article
dc.identifier.issn0091-6749
dc.identifier.piiS009167492500702X
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/74014
dc.languageEnglish
dc.publisherElsevier Inc. on behalf of the American Academy of Allergy, Asthma & Immunology
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S009167492500702X
dc.relation.isPartOfJournal of Allergy and Clinical Immunology
dc.rightsCC BY 4.0
dc.rights(c) 2025 The Author/s
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectallergic sensitization
dc.subjectAsthma
dc.subjectasthma diagnosis
dc.subjectcluster
dc.subjectnetwork analysis
dc.subjectomponent-resolved diagnostics
dc.subjectstatistical network analysis
dc.titleExploring geographic differences in IgE response through network and manifold analyses
dc.typeJournal article
pubs.elements-id502727
pubs.organisational-groupOther

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