Early molecular biomarkers predicting the evolution of allergic rhinitis and its comorbidities: A longitudinal

Francesca Cipriani1, Salvatore Tripodi2, Valentina Panetta3,4

  • 1Pediatric Unit, Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.

Insights

Seasonal allergic rhinoconjunctivitis (SAR) often persists into adolescence, with increased risk of asthma and oral allergy syndrome (OAS). Specific IgE biomarkers can predict SAR persistence and related comorbidities in children.

Area of Science:

  • Pediatric Allergy and Immunology
  • Clinical Immunology
  • Allergology

Background:

  • Seasonal allergic rhinoconjunctivitis (SAR) is a prevalent pediatric condition in Westernized nations.
  • While risk factors are known, disease evolution in pediatric cohorts remains understudied.
  • This study investigates predictive biomarkers for SAR evolution in children.

Purpose of the Study:

  • To identify predictive biomarkers for the clinical evolution of seasonal allergic rhinoconjunctivitis in a pediatric cohort.
  • To analyze changes in clinical presentation and sensitization patterns over time.
  • To associate baseline characteristics with the development of comorbidities like asthma and oral allergy syndrome (OAS).

Main Methods:

  • A cohort of 401 Italian children with SAR, initially enrolled in 2009-2011, was re-examined between 2015-2017.
  • Clinical history and skin prick test data were collected at baseline and follow-up.
  • Serum IgE levels to specific allergen molecules were analyzed as potential biomarkers.

Main Results:

  • SAR persisted in 93.3% of patients, with increased co-occurrence of asthma and OAS at follow-up.
  • Sensitization to certain pollens (e.g., Phleum pratense) and foods (e.g., hazelnut) decreased over time.
  • Baseline IgE to Phl p 1, Phl p 5, Pru p 3, and Bet v 1 were associated with SAR persistence, asthma, and OAS development.

Conclusions:

  • The clinical course of SAR is heterogeneous from childhood to adolescence.
  • Serum IgE detection against specific molecules (Phl p 1, Phl p 5, Bet v 1, Pru p 3) can predict SAR persistence and future comorbidities.
  • Biomarker identification aids in predicting the evolution of SAR and associated conditions like asthma and OAS.
Abstract

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