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Published on: September 22, 2023
Multimorbidities in Allergic Rhinitis-Current Evidence from Epidemiological Studies, Treatment Trials, and Molecular
Ioannis M Vlastos1, Zacharias Kalentakis2, Maria Doulaptsi3
1Department of Otorhinolaryngology, Evangelismos Hospital, Ipsilantou 45-47, Athens, 106 76, Greece. giannisvlastos@yahoo.gr.
Allergic rhinitis (AR) often occurs with other conditions, presenting unique genetic and phenotypic profiles. Understanding these multimorbidities is key to developing personalized treatments and preventive strategies for allergic diseases.
Area of Science:
- Immunology
- Genetics
- Clinical Medicine
Background:
- Allergic rhinitis (AR) frequently coexists with other health conditions, a phenomenon termed multimorbidity.
- The exact pathophysiologic mechanisms underlying AR multimorbidity remain uncertain, highlighting the need for further investigation.
Purpose of the Study:
- To review current theories on allergic rhinitis multimorbidities.
- To explore the influence of phenotypes, genotypes, age, and treatment responses on AR multimorbidity.
- To discuss future directions in the diagnosis and management of multimorbid allergic diseases.
Main Methods:
- Narrative review of existing literature on allergic rhinitis and its multimorbidities.
- Analysis of current theories regarding genetic and phenotypic variations in multimorbid AR.
- Examination of treatment responses, including allergen immunotherapy and biological agents.
Main Results:
- Multimorbid allergic rhinitis may possess a distinct genetic basis and a more severe phenotype compared to standalone AR.
- Allergen immunotherapy shows promise in managing atopic symptoms and potentially preventing new sensitizations.
- Biological therapies are effective for certain AR comorbidities like asthma, with broader applications under investigation.
Conclusions:
- Phenotypic and genotypic characterization is crucial for advancing the understanding of AR multimorbidity.
- Further research is required to develop diagnostic, stratificational, and predictive algorithms for multimorbid allergic diseases.
- Integration of real-time data and novel pathophysiological insights will enable personalized and effective antiallergic treatments.
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