Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Allergic Reactions02:06

Allergic Reactions

29.1K
Overview
29.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Role of Polyunsaturated Fatty Acids (PUFAs) in the Primary Prevention of Allergic Diseases in Children: A Position Paper of the SIAIP Primary and Secondary Prevention of Allergic Diseases and Nutraceuticals Committees.

Nutrients·2026
Same author

Peripubertal Changes in Asthma.

American journal of respiratory and critical care medicine·2026
Same author

Evidence-Based Clinical Recommendations for the Appropriate Use of Diagnostic Tests in Pediatric Allergology: Focus on Asthma, Rhinoconjunctivitis, and Keratoconjunctivitis Vernal.

Journal of clinical medicine·2026
Same author

Emerging Paediatric Uses of Dupilumab Beyond Approvals.

Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology·2026
Same author

Hypertransaminasemia Is a Marker of Severity in Children Hospitalized for Influenza.

Influenza and other respiratory viruses·2026
Same author

Health inequities in pediatric anaphylaxis: A policy framework and call to action for equitable care from SIAIP allergy prevention commission.

Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology·2026

Related Experiment Video

Updated: Oct 5, 2025

Author Spotlight: Advancing Allergic Rhinitis Research with Multicolor Immunofluorescence
06:08

Author Spotlight: Advancing Allergic Rhinitis Research with Multicolor Immunofluorescence

Published on: September 22, 2023

2.0K

Endotyping allergic rhinitis in children: A machine learning approach.

Velia Malizia1, Giovanna Cilluffo1, Salvatore Fasola1

  • 1Institute for Biomedical Research and Innovation, National Research Council, Palermo, Italy.

Pediatric Allergy and Immunology : Official Publication of the European Society of Pediatric Allergy and Immunology
|January 26, 2022
PubMed
Summary

Latent class analysis of nasal cytology identified two distinct allergic rhinitis (AR) endotypes in children. This approach aids in understanding AR heterogeneity and supports personalized medicine for pediatric allergic rhinitis.

Keywords:
allergic rhinitischildrenendotypeslatent class analysisnasal cytology

More Related Videos

A Component-resolved Diagnostic Approach for a Study on Grass Pollen Allergens in Chinese Southerners with Allergic Rhinitis and/or Asthma
06:34

A Component-resolved Diagnostic Approach for a Study on Grass Pollen Allergens in Chinese Southerners with Allergic Rhinitis and/or Asthma

Published on: June 4, 2017

10.2K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

489

Related Experiment Videos

Last Updated: Oct 5, 2025

Author Spotlight: Advancing Allergic Rhinitis Research with Multicolor Immunofluorescence
06:08

Author Spotlight: Advancing Allergic Rhinitis Research with Multicolor Immunofluorescence

Published on: September 22, 2023

2.0K
A Component-resolved Diagnostic Approach for a Study on Grass Pollen Allergens in Chinese Southerners with Allergic Rhinitis and/or Asthma
06:34

A Component-resolved Diagnostic Approach for a Study on Grass Pollen Allergens in Chinese Southerners with Allergic Rhinitis and/or Asthma

Published on: June 4, 2017

10.2K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

489

Area of Science:

  • Pediatric Allergy and Immunology
  • Computational Biology
  • Rhinology

Background:

  • Allergic rhinitis (AR) presents diverse phenotypes in children, necessitating novel methods for classification.
  • Nasal cytology (NC) is a valuable tool for assessing nasal inflammation.
  • Data-driven approaches like latent class analysis (LCA) can identify distinct patient subgroups.

Purpose of the Study:

  • To investigate the utility of LCA based on nasal cytology (NC) for identifying distinct endotypes of childhood allergic rhinitis (AR).
  • To analyze the distribution of neutrophils, eosinophils, and mast cells in NC for endotyping AR.
  • To explore the potential of this approach in advancing precision medicine for pediatric AR.

Main Methods:

  • Latent class analysis (LCA) was applied to nasal cytology (NC) data from 168 children with allergic rhinitis.
  • NC included assessment of neutrophils, eosinophils, and mast cells.
  • Statistical analyses were performed using R software.

Main Results:

  • LCA identified two distinct AR endotypes in children.
  • Class 1 (75%) was characterized by a higher frequency of neutrophils and minimal mast cells.
  • Class 2 (25%) showed a higher prevalence of eosinophils and mast cells.

Conclusions:

  • Machine learning, specifically LCA on NC, effectively endotypes childhood AR.
  • This method can enhance diagnostic accuracy for allergic rhinitis.
  • Findings support the development of personalized healthcare strategies within precision medicine for pediatric AR.