Background: Peanut allergy (PA) is one of the most prevalent food allergies with a lack of favorable safety/efficacy treatment. A cucumber mosaic virus-like particle expressing peanut allergen component Ara h 2 (VLP Peanut) has been developed as a novel therapeutic approach for PA.
Objective: We assessed the tolerogenic properties and reactivity of VLP Peanut.
Background: Unsupervised clustering of biomarkers derived from noninvasive samples such as nasal fluid is less evaluated as a tool for describing asthma endotypes.
Objective: We sought to evaluate whether protein expression in nasal fluid would identify distinct clusters of patients with asthma with specific lower airway molecular phenotypes.
Methods: Unsupervised clustering of 168 nasal inflammatory and immune proteins and Shapley values was used to stratify 43 patients with severe asthma (endotype of noneosinophilic asthma) using a 2 "modeling blocks" machine learning approach.