Comprehensive proteomic characterization of the esophageal String Test identifies a luminal protein signature associated with eosinophilic esophagitis
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Background
The esophageal String Test (EST) is emerging as a minimally invasive alternative for assessing disease activity in eosinophilic esophagitis (EoE), yet the molecular composition of its protein content remains unknown.
Objective
To comprehensively characterize the esophageal EST proteome, define an EoE-associated luminal protein signature, and evaluate its biological and clinical relevance.
Methods
EST samples were obtained from patients with active EoE, healthy controls (C) and patients with gastroesophageal reflux disease (GERD). Label-free proteomic profiling was performed by liquid chromatography-tandem mass spectrometry. Differential protein accumulation, principal component analysis (PCA), pathway annotation, comparison with published esophageal tissue and salivary proteomes, receiver operating characteristic (ROC) analyses and correlations with clinical disease activity were performed.
Results
More than 3,000 proteins were identified in esophageal EST samples. Global proteomic profiling clearly separated patients with EoE from both C and GERD, whereas only limited differences were observed between the latter two groups. This enabled the identification of an EoE-associated luminal protein signature comprising inflammatory, epithelial, and tissue remodeling proteins. Comparison with published proteomic datasets indicated that the EST samples a complex esophageal luminal protein microenvironment containing proteins represented in esophageal mucosa and saliva, together with inflammatory and extracellular components. Several individual proteins showed high discriminatory performance in this exploratory cohort for distinguishing EoE from non-EoE subjects, and multiple proteins correlated with eosinophil counts and endoscopic measures of disease activity.
Conclusions
This study demonstrates that the EST provides access to a complex esophageal luminal protein microenvironment and establishes a molecular framework for its minimally invasive characterization in EoE.
