Untargeted, High-Resolution Metabolomics in Pediatric Eosinophilic Esophagitis.

BACKGROUND/OBJECTIVES: Eosinophilic esophagitis (EoE) is an inflammatory disease of unclear etiology. The aim of this study was to use untargeted plasma metabolomics to identify metabolic pathway alterations associated with EoE to better understand the pathophysiology. METHODS: This prospective, case-control study included 72 children, aged 1-17 years, undergoing clinically indicated upper endoscopy (14 diagnosed with EoE and 58 controls). Fasting plasma samples were analyzed for metabolomics by high-resolution dual-chromatography mass spectrometry. Analysis was performed on sex-matched groups at a 2:1 ratio. Significant differences among the plasma metabolite features between children with and without EoE were determined using multivariate regression analysis and were annotated with a network-based algorithm. Subsequent pathway enrichment analysis was performed. RESULTS: Patients with EoE had a higher proportion of atopic disease (85.7% vs 50%, P = 0.019) and any allergies (100% vs 57.1%, P = 0.0005). Analysis of the dual chromatography features resulted in a total of 918 metabolites that differentiated EoE and controls. Glycerophospholipid metabolism was significantly enriched with the greatest number of differentiating metabolites and overall pathway enrichment ( P < 0.01). Multiple amino and fatty acid pathways including linoleic acid were also enriched, as well as pyridoxine metabolism ( P < 0.01). CONCLUSIONS: In this pilot study, we found differences in metabolites involved in glycerophospholipid and inflammation pathways in pediatric patients with EoE using untargeted metabolomics, as well as overlap with amino acid metabolome alterations found in atopic disease.

Sex Differences in Blood Transcriptional Profiles and Clinical Phenotypes in Pediatric Patients with Eosinophilic Esophagitis.

BACKGROUND: Eosinophilic esophagitis (EoE) is an increasingly recognized, chronic inflammatory disease. Recent reports suggest clinical differences between males and females. OBJECTIVE: To define the relevant molecular pathways that could be related to clinical phenotypes in children with EoE. METHODS: We performed blood RNA expression analysis in children with newly diagnosed EoE and matched, healthy controls, and applied bioinformatics tools to define EoE host immune biosignatures. Questionnaires and medical records were used to characterize symptoms, esophagogastroduodenoscopy results, and treatment response. RESULTS: Forty-one subjects (aged 2-17 years) were enrolled; the cohort consisted of 27 males and 14 females. Patients were randomly divided into a discovery cohort (21 EoE patients and 12 controls) that identified 544 significant differentially expressed transcripts (P ≤ .01; 1.25-fold change). Those 544 transcripts correctly classified most EoE patients in the validation cohort (n = 20) from healthy controls. Global transcriptional perturbation relative to healthy controls, Molecular Distance to Health scores were greater in EoE patients than controls (P = .003). When we analyzed subjects based on age and sex, males 13 years of age and older were more likely to have food impactions (P = .033) and to have higher endoscopic severity scores (P = .036). Separate group comparisons according to sex identified 294 differentially expressed transcripts in males and 643 transcripts in female EoE patients. Of those, 37 genes were shared and similarly expressed irrespective of sex. CONCLUSIONS: Whole blood transcriptional analysis represents a promising noninvasive tool to assess activity of the immune/inflammatory response in children with EoE. Male and female EoE patients showed robust differences in gene expression suggesting distinct pathogenic endotypes.