Dataset Information


Metabolomic Analysis of plasma samples from Non-Allergic Subjects and Profilin-Allergic Patients overexposed to Grass Pollen

ABSTRACT: Prevalence and severity of allergic diseases have increased worldwide. To date, respiratory allergy phenotypes are not fully characterized and, along with inflammation progression, treatment is increasingly complex and expensive. Profilin sensitization constitutes a good model to study the progression of allergic inflammation. Our aim was to identify the underlying mechanisms and the associated biomarkers of this progression, focusing on severe phenotypes, using transcriptomics and metabolomics. Methods: 25 subjects were included in the study. Plasma samples were analyzed using Gas and Liquid Chromatography coupled to Mass Spectrometry (GC-MS and LC-MS, respectively). Individuals were classified in 4 groups – “non-allergic”, “mild”, “moderate” and “severe” – based on their clinical history, their response to an oral challenge test with profilin, and after a refinement using a mathematical metabolomic model. PBMCs were used for microarray analysis.

INSTRUMENT(S): Single quadrupole, QTOF

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Blood

SUBMITTER: David Obeso Montero  

PROVIDER: ST000980 | MetabolomicsWorkbench | Wed Jun 13 00:00:00 BST 2018

REPOSITORIES: MetabolomicsWorkbench

Dataset's files

Action DRS Other
ST000980_AN001604_Results.txt Txt
ST000980_AN001605_Results.txt Txt
mwtab Other
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