Untargeted Metabolomic Profiling Identifies Disease-specific Profiles in Food Allergy
Untargeted Metabolomic Profiling Identifies Disease-specific Profiles in Food Allergy
Abstract BackgroundFood allergy (FA) affects an increasing proportion of children for reasons that remain obscure. Identification of pathogenic mechanisms involved in FA using untargeted metabolomic approaches may provide much needed diagnostic and prognostic disease biomarkers and improved treatment options. MethodsMass spectrometry-based untargeted metabolomic profiling was performed on serum samples of children with either FA alone, asthma alone or both FA and asthma as well as healthy pediatric controls. ResultsFA subjects exhibited a disease-specific metabolomic signature as compared to both control subjects and asthmatics. In particular, FA was uniquely associated with a marked decrease in sphingolipids, as well as a number of other lipid metabolites, in the face of normal frequencies of circulating natural killer T (NKT) cells. Specific comparison of FA and asthmatic subjects revealed differences in the microbiota-sensitive aromatic amino acid and secondary bile acid metabolism. Children with both FA and asthma exhibited a metabolomic profile that aligned with that of FA alone but not asthma. Among children with FA, distinct profiles were associated with history of severe reactions and presence of multiple FA. ConclusionsChildren with FA display a disease-specific metabolomic profile that is informative of disease mechanisms and severity, and which dominates in the presence of asthma. Lower levels of sphingolipids and ceramides and other metabolomic alterations observed in FA children may reflect the interplay between an altered microbiota and immune cell subsets in the gut.
Harb Hani、Leirer J、Motsinger-Reif A、Chatila T.A.、Kaddurah-Daouk R、Phipatanakul W、Rachid Rima、Crestani E、Charbonnier Louis Marie
Division of Immunology, Boston Children?ˉs Hospital and Department of Pediatrics, Harvard Medical SchoolBioinformatics Research Center, Department of Statistics, North Carolina State UniversityBiostatistics and Computational Biology Branch, National Institute of Environmental Health SciencesDivision of Immunology, Boston Children?ˉs Hospital and Department of Pediatrics, Harvard Medical SchoolDepartment of Psychiatry and Behavioral Sciences and the Duke Institute for Brain Sciences, Duke UniversityDivision of Immunology, Boston Children?ˉs Hospital and Department of Pediatrics, Harvard Medical SchoolDivision of Immunology, Boston Children?ˉs Hospital and Department of Pediatrics, Harvard Medical SchoolDivision of Immunology, Boston Children?ˉs Hospital and Department of Pediatrics, Harvard Medical SchoolDivision of Immunology, Boston Children?ˉs Hospital and Department of Pediatrics, Harvard Medical School
医学研究方法基础医学生物科学研究方法、生物科学研究技术
AsthmaFood AllergyiNKT cellsMetabolomicsMetabolitesSecondary Bile AcidsSphingolipidsTryptophan
Harb Hani,Leirer J,Motsinger-Reif A,Chatila T.A.,Kaddurah-Daouk R,Phipatanakul W,Rachid Rima,Crestani E,Charbonnier Louis Marie.Untargeted Metabolomic Profiling Identifies Disease-specific Profiles in Food Allergy[EB/OL].(2025-03-28)[2025-08-02].https://www.biorxiv.org/content/10.1101/657866.点此复制
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