Big Data-Driven Evolution of a Diagnostic Multiplex IgE-Test: Enhancing Accuracy and Efficacy in Allergy Diagnostics

The ALEX<sup>2</sup>-test (MacroArray Diagnostics, Vienna, Austria) is a diagnostic multiplex IgE-test for the simultaneous detection of IgE to 178 allergens and 117 extracts, in addition to total IgE. Test results from more than 90 countries are stored on a GDPR-compliant cloud server for backup, customer support, and continuous postmarket surveillance. To improve the coverage of exposomes on a global scale and to further increase the sensitivity of the test, the allergen panel was updated from ALEX<sup>2</sup> to ALEX<sup>3</sup>. By mid-2023, when ALEX<sup>3</sup> was designed, almost 400,000 real-world ALEX<sup>2</sup> test results were available. Analysing prevalences and average sIgE-levels of individual allergen preparations, coverage of extracts by components, and co-reactivity of members of the same allergen family provided a rationale for updating the array. In parallel, based on the scientific literature and clinical studies, new allergens were selected. On ALEX<sup>3</sup>, 218 allergens and 82 extracts will be represented, including 52 new allergens. Allergen preparations with low prevalence and clinical relevance, as well as redundant allergens and extracts, were discontinued. New allergens encompass, e.g., cyclophilins, alpha-gal, and additional markers from respiratory and food allergen sources. Using a large dataset of ALEX<sup>2</sup> test results exemplifies the targeted, data-driven improvement of a diagnostic IgE-macroarray.

Authors

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-04-29
DOI
https://doi.org/10.3390/ijms26094249
Citations
8
Primary Topic
Food Allergy and Anaphylaxis Research
Type
article
Field-Weighted Citation Impact
12.98
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article

Big Data-Driven Evolution of a Diagnostic Multiplex IgE-Test: Enhancing Accuracy and Efficacy in Allergy Diagnostics

Irene Mittermann, Anna Ringauf, Artan Salihu, Christian Lupinek et al.
8 citations
International Journal of Molecular Sciences
Food Allergy and Anaphylaxis Research
12.98
article

Big Data-Driven Evolution of a Diagnostic Multiplex IgE-Test: Enhancing Accuracy and Efficacy in Allergy Diagnostics

Irene Mittermann, Anna Ringauf, Artan Salihu, Christian Lupinek, Raffaela Campana, Peter Forstenlechner, Martina Aumayr
article en
8 citations

Abstract

The ALEX<sup>2</sup>-test (MacroArray Diagnostics, Vienna, Austria) is a diagnostic multiplex IgE-test for the simultaneous detection of IgE to 178 allergens and 117 extracts, in addition to total IgE. Test results from more than 90 countries are stored on a GDPR-compliant cloud server for backup, customer support, and continuous postmarket surveillance. To improve the coverage of exposomes on a global scale and to further increase the sensitivity of the test, the allergen panel was updated from ALEX<sup>2</sup> to ALEX<sup>3</sup>. By mid-2023, when ALEX<sup>3</sup> was designed, almost 400,000 real-world ALEX<sup>2</sup> test results were available. Analysing prevalences and average sIgE-levels of individual allergen preparations, coverage of extracts by components, and co-reactivity of members of the same allergen family provided a rationale for updating the array. In parallel, based on the scientific literature and clinical studies, new allergens were selected. On ALEX<sup>3</sup>, 218 allergens and 82 extracts will be represented, including 52 new allergens. Allergen preparations with low prevalence and clinical relevance, as well as redundant allergens and extracts, were discontinued. New allergens encompass, e.g., cyclophilins, alpha-gal, and additional markers from respiratory and food allergen sources. Using a large dataset of ALEX<sup>2</sup> test results exemplifies the targeted, data-driven improvement of a diagnostic IgE-macroarray.

International Journal of Molecular SciencesVol. 26(9)
Openalex Percentile: Top 1%
Food Allergy and Anaphylaxis Research
12.98
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