Cutting-Edge Research in Rhinology and Allergy: Unraveling Disease Mechanisms and Treatment Innovations

A special issue of Life (ISSN 2075-1729).

Deadline for manuscript submissions: 30 June 2026 | Viewed by 522

Special Issue Editor


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Guest Editor
Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, Republic of Korea
Interests: rhinology; mucosal immunology; T cell immunology; allergy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to highlight recent advances in the field of rhinology and allergy, with a particular focus on elucidating disease mechanisms and developing novel therapeutic strategies. Rapid progress in basic science, translational medicine, and biomedical technology has significantly improved our understanding of the pathophysiology underlying rhinologic and allergic disorders.

We invite authors to submit original research articles, reviews, and clinical studies that investigate the molecular and cellular mechanisms of diseases, as well as innovative diagnostic and therapeutic approaches. Special consideration will be given to contributions that advance the field of precision medicine or incorporate convergence research that leverages state-of-the-art technologies.

By compiling cutting-edge research from diverse subfields, this Special Issue seeks to foster interdisciplinary collaboration and offer a comprehensive perspective on the evolving landscape of clinical science and patient care.

Dr. Min-Seok Rha
Guest Editor

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Keywords

  • rhinology
  • allergy
  • chronic rhinosinusitis
  • allergic rhinitis
  • asthma
  • precision medicine
  • clinical immunology
  • immunopathology
  • therapeutic innovation

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Published Papers (1 paper)

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Research

14 pages, 2751 KB  
Article
Distinct Profiles of Patient-Reported Outcomes Across Allergen Signatures in Chronic Rhinosinusitis
by Dachan Kim, Chan Min Jung, Hyung-Ju Cho, Chang-Hoon Kim and Min-Seok Rha
Life 2025, 15(12), 1835; https://doi.org/10.3390/life15121835 - 28 Nov 2025
Viewed by 183
Abstract
Background: Chronic rhinosinusitis (CRS) exhibits marked symptom heterogeneity that is not fully explained by anatomy or endotypes. Although allergen types shape symptom patterns in allergic rhinitis, largescale systematic analyses linking allergen sensitization profiles to patient-reported outcome measures in patients with CRS are limited. [...] Read more.
Background: Chronic rhinosinusitis (CRS) exhibits marked symptom heterogeneity that is not fully explained by anatomy or endotypes. Although allergen types shape symptom patterns in allergic rhinitis, largescale systematic analyses linking allergen sensitization profiles to patient-reported outcome measures in patients with CRS are limited. Methods: We conducted a multicenter, retrospective surgical cohort study (n = 1880) including patients with CRS who underwent preoperative specific IgE testing for 35 inhalant allergens and completed the 22-item Sino-Nasal Outcome Test (SNOT-22) questionnaire within 1 year. Using a previously validated nonnegative matrix factorization model, we deconvolved each patient’s IgE profile into four allergen signatures (Mite, Grass/Weed, Pet, and Tree) and defined a dominant group. Associations between signature contributions and SNOT-22 items, domain subscores, and total score were estimated by ordinary least squares, adjusting for age, sex, nasal polyps, and asthma, with coefficients scaled per 10-percentage-point increase. Item-level multiplicity was controlled for using the false discovery rate. Seasonality was assessed using monthly means and the coefficient of variation of the dominant group. Results: Dominant groups were nonallergic (50%), mite (26%), grass/weed (9%), pet (9%), and tree (5%). Symptoms varied by age and sex, characterized by notably low nasal scores with aging and a high female burden for several items, motivating covariate adjustment. Signature–symptom associations were domain-specific: the pet signature showed the strongest and most consistent associations with nasal domain (such as rhinorrhea and nasal obstruction) and emotion domain (feelings of embarrassment); mite and grass/weed signatures were linked to the function domain (daytime fatigue/productivity); whereas the tree signature showed no significant associations. Seasonal patterns aligned with exposure ecology: grass/weed and tree groups had the largest relative variation (high coefficient of variations), the pet group showed the highest absolute burden year-round, and the mite group varied modestly with winter–spring predominance. Conclusions: Allergen signatures distilled from routine IgE panels explained meaningful variations in CRS patient-reported outcome measures, mapping to distinct symptom domains and seasonal profiles. Incorporating signature information into clinical assessments may support personalized counseling, anticipatory management around exposure windows, and targeted evaluation of environmental or immunologic interventions. Full article
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