Achieving Precision Medicine in Allergic Disease: Progress and Challenges

Author:

Proper Steven P.,Azouz Nurit P.,Mersha Tesfaye B.

Abstract

Allergic diseases (atopic dermatitis, food allergy, eosinophilic esophagitis, asthma and allergic rhinitis), perhaps more than many other traditionally grouped disorders, share several overlapping inflammatory pathways and risk factors, though we are still beginning to understand how the relevant patient and environmental factors uniquely shape each disease. Precision medicine is the concept of applying multiple levels of patient-specific data to tailor diagnoses and available treatments to the individual; ideally, a patient receives the right intervention at the right time, in order to maximize effectiveness but minimize morbidity, mortality and cost. While precision medicine in allergy is in its infancy, the recent success of biologics, development of tools focused on large data set integration and improved sampling methods are encouraging and demonstrates the utility of refining our understanding of allergic endotypes to improve therapies. Some of the biggest challenges to achieving precision medicine in allergy are characterizing allergic endotypes, understanding allergic multimorbidity relationships, contextualizing the impact of environmental exposures (the “exposome”) and ancestry/genetic risks, achieving actionable multi-omics integration, and using this information to develop adequately powered patient cohorts and refined clinical trials. In this paper, we highlight several recently developed tools and methods showing promise to realize the aspirational potential of precision medicine in allergic disease. We also outline current challenges, including exposome sampling and building the “knowledge network” with multi-omics integration.

Funder

National Heart, Lung, and Blood Institute

Publisher

Frontiers Media SA

Subject

Immunology,Immunology and Allergy

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Prediction of pediatric peanut oral food challenge outcomes using machine learning;Journal of Allergy and Clinical Immunology: Global;2024-08

2. Precision Medicine Paradigms in Allergic Rhinitis: Navigating Immunotherapy and Digital Healthcare;Expert Review of Precision Medicine and Drug Development;2024-07-21

3. Acute Urticaria: Symptoms, Causes, and Evaluation of Phenotypes Prone to Chronicity;International Archives of Allergy and Immunology;2024-07-10

4. The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment;Current Allergy and Asthma Reports;2024-07

5. The Application of mHealth and Artificial Intelligence to Chronic Rhinitis;The Journal of Allergy and Clinical Immunology: In Practice;2024-06

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