Exploring geographic differences in IgE response through network and manifold analyses
Exploring geographic differences in IgE response through network and manifold analyses
Background: 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.
allergic sensitization, asthma, asthma diagnosis, cluster, component-resolved diagnostics, network analysis, statistical network analysis
262-272
Cucco, Alex
31cc7a9c-9751-4603-9b20-6b860fabc09f
Pearce, Neil
ccbef536-348e-4650-8b03-bee3b34f1ba8
Simpson, Angela
5591f945-0ead-46a3-a866-b7bea84a2a83
Pembrey, Lucy
8d5924b9-c963-4ade-af1d-2f35bf95ace4
Et, Al
2c5e03a5-214d-4086-a5de-058e9c2156ee
Roberts, Graham
ea00db4e-84e7-4b39-8273-9b71dbd7e2f3
Holloway, John
4bbd77e6-c095-445d-a36b-a50a72f6fe1a
STELAR/UNICORN Consortium
January 2026
Cucco, Alex
31cc7a9c-9751-4603-9b20-6b860fabc09f
Pearce, Neil
ccbef536-348e-4650-8b03-bee3b34f1ba8
Simpson, Angela
5591f945-0ead-46a3-a866-b7bea84a2a83
Pembrey, Lucy
8d5924b9-c963-4ade-af1d-2f35bf95ace4
Et, Al
2c5e03a5-214d-4086-a5de-058e9c2156ee
Roberts, Graham
ea00db4e-84e7-4b39-8273-9b71dbd7e2f3
Holloway, John
4bbd77e6-c095-445d-a36b-a50a72f6fe1a
Holloway, John
,
WASP Study Group, STELAR/UNICORN Consortium and U-BIOPRED Consortium
(2026)
Exploring geographic differences in IgE response through network and manifold analyses.
Journal of Allergy and Clinical Immunology, 157 (1), .
(doi:10.1016/j.jaci.2025.05.032).
Abstract
Background: 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.
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Accepted/In Press date: 2025
e-pub ahead of print date: 30 June 2025
Published date: January 2026
Additional Information:
Publisher Copyright:
© 2025 The Authors
Keywords:
allergic sensitization, asthma, asthma diagnosis, cluster, component-resolved diagnostics, network analysis, statistical network analysis
Identifiers
Local EPrints ID: 506192
URI: http://eprints.soton.ac.uk/id/eprint/506192
ISSN: 0091-6749
PURE UUID: b2fae775-b9c5-4e4c-a99a-eb73ba3403fb
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Date deposited: 29 Oct 2025 17:50
Last modified: 17 Jan 2026 02:41
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Contributors
Author:
Alex Cucco
Author:
Neil Pearce
Author:
Angela Simpson
Author:
Lucy Pembrey
Author:
Al Et
Corporate Author: WASP Study Group
Corporate Author: STELAR/UNICORN Consortium
Corporate Author: U-BIOPRED Consortium
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