loading page

Modelling the conversion between specific IgE test platforms for nut allergens in children and adolescents
  • +15
  • Jennifer Hoang,
  • Alper Celik,
  • Christian Lupinek,
  • Rudolf Valenta,
  • Lucy Duan,
  • Ruixue Dai,
  • May Brydges,
  • Aimée Dubeau,
  • Claire Lépine,
  • Samantha Wong,
  • Mara Alexanian-Farr,
  • Ahuva Magder,
  • Padmaja Subbarao,
  • Julia Upton,
  • Klara Schmidthaler,
  • Zsolt Szepfalusi,
  • Arun Ramani,
  • Thomas Eiwegger
Jennifer Hoang
Hospital for Sick Children Research Institute

Corresponding Author:[email protected]

Author Profile
Alper Celik
Hospital for Sick Children Research Institute
Author Profile
Christian Lupinek
Medical University of Vienna
Author Profile
Rudolf Valenta
Medical University of Vienna
Author Profile
Lucy Duan
Hospital for Sick Children
Author Profile
Ruixue Dai
Hospital for Sick Children Research Institute
Author Profile
May Brydges
Hospital for Sick Children Research Institute
Author Profile
Aimée Dubeau
Hospital for Sick Children Research Institute
Author Profile
Claire Lépine
Hospital for Sick Children Research Institute
Author Profile
Samantha Wong
Hospital for Sick Children
Author Profile
Mara Alexanian-Farr
Hospital for Sick Children
Author Profile
Ahuva Magder
Hospital for Sick Children
Author Profile
Padmaja Subbarao
Hospital for Sick Children
Author Profile
Julia Upton
Hospital for Sick Children
Author Profile
Klara Schmidthaler
Medical University of Vienna
Author Profile
Zsolt Szepfalusi
Medical University of Vienna
Author Profile
Arun Ramani
Hospital for Sick Children
Author Profile
Thomas Eiwegger
Hospital for Sick Children
Author Profile

Abstract

Background: Multiplex tests allow for measurement of allergen-specific IgE responses to multiple allergen extracts and components and have several advantages for large cohort studies. Due to significant methodological differences, test systems are difficult to integrate in meta-analyses/systematic reviews since there is a lack of datasets with direct comparison. We aimed to create models for statistical integration of allergen-specific IgE to peanut/tree nut allergens from three IgE-test platforms. Methods: Plasma from Canadian and Austrian children with peanut/tree nut sensitization and a cohort of sensitized, high-risk, pre-school asthmatics (total n=166) were measured with three R&D multiplex IgE test platforms: Allergy Explorer, ALEX (Macro Array Dx), MeDALL-chip (Mechanisms of Development of Allergy) (Thermo Fisher), and EUROLINE (EUROIMMUN). Skin prick test (n=51) and ImmunoCAP (n=62) results for extracts were available in a subset. Regression models (Multivariate Adaptive Regression Splines, local polynomial regression) were applied if >30% of samples were positive to the allergen. Intra-test correlations between PR-10 and nsLTP allergens were assessed. Results: Using two regression methods, we demonstrated the ability to model allergen-specific relationships with acceptable measures of fit (r2=94-56%) for peanut and tree nut sIgE testing at the extract and component-level, in order from highest to lowest: Ara h 2, Ara h 6, Jug r 1, Ana o 3, Ara h 1, Jug r 2, Cor a 9. Conclusion: Our models support the notion that conversion is reasonably possible between sIgE multiplex platforms for allergen extracts and components and may provide options to aggregate data for future meta-analysis.
27 May 2020Submitted to Allergy
28 May 2020Submission Checks Completed
28 May 2020Assigned to Editor
28 May 2020Reviewer(s) Assigned
12 Jun 2020Review(s) Completed, Editorial Evaluation Pending
13 Jun 2020Editorial Decision: Revise Minor
03 Jul 20201st Revision Received
06 Jul 2020Submission Checks Completed
06 Jul 2020Assigned to Editor
06 Jul 2020Reviewer(s) Assigned
13 Jul 2020Review(s) Completed, Editorial Evaluation Pending
14 Jul 2020Editorial Decision: Accept
Aug 2020Published in Allergy. 10.1111/all.14529