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Evaluating the performance of a multiparametric IgA assay for celiac disease diagnosis

  • Caterina Maria Gambino , Luisa Agnello , Fabio Del Ben ORCID logo , Anna Maria Ciaccio , Salvatore Milano , Roberta Vassallo , Francesco Cacciabaudo , Aurelio Seidita , Pasquale Mansueto , Antonio Carroccio and Marcello Ciaccio EMAIL logo
Published/Copyright: August 20, 2025

Abstract

Objectives

Celiac disease (CD) is a systemic autoimmune disorder triggered by gluten in genetically predisposed individuals. Accurate diagnosis remains challenging due to clinical heterogeneity and reliance on invasive biopsy. This study aimed to evaluate the diagnostic performance of a novel multiparametric membrane-based enzyme immunoassay (AESKUBLOTS®) for the simultaneous detection of IgA antibodies targeting eight CD-related antigens.

Methods

A retrospective, single-centre study was conducted on 180 participants: 80 with CD (30 untreated, 50 on gluten-free diet, GFD), 50 with non-celiac wheat sensitivity (NCWS), and 50 healthy controls (HC). Serum samples were analysed using the AESKU assay. Diagnostic accuracy was assessed via ROC curve analysis and 5-fold cross-validation, examining individual markers and a composite antibody score.

Results

The assay demonstrated high diagnostic performance, particularly in untreated CD patients. Anti-tTG neo IgA showed the highest accuracy (AUC=0.93), followed by anti-tTG IgA (AUC=0.92). A composite score of ≥4 positive markers yielded an AUC of 0.99, while ≥6 positive markers achieved 100 % specificity and PPV, with 76.7 % sensitivity. Notably, anti-mTG IgA levels were elevated in all CD patients regardless of diet, suggesting potential utility in monitoring or identifying ongoing mucosal immune activity.

Conclusions

This multiparametric IgA assay offers a sensitive, specific, and non-invasive diagnostic tool for CD. Larger, prospective studies are warranted to confirm the clinical utility and expand the applicability to broader populations.


Corresponding author: Prof. Marcello Ciaccio, Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine, and Clinical Laboratory Medicine, University of Palermo, Palermo, Italy; and Department of Laboratory Medicine, University Hospital Paolo Giaccone, Palermo, Italy, E-mail:
Caterina Maria Gambino and Luisa Agnello contributed equally to this work as first authors.
  1. Research ethics: The study protocol received approval from the Ethics Committee of the University Hospital of Palermo (No. 08/2021).

  2. Informed consent: Informed consent was obtained from all individuals included in this study.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: The data that support the findings of this study are available on request from the corresponding author.

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Received: 2025-06-09
Accepted: 2025-08-07
Published Online: 2025-08-20
Published in Print: 2025-11-25

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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