An interdisciplinary approach to characterize peanut-allergic patients-First data from the FOOD@ consortium.
biomarker
epigenetics
food allergy
microbiome
peanut allergy
Journal
Clinical and translational allergy
ISSN: 2045-7022
Titre abrégé: Clin Transl Allergy
Pays: England
ID NLM: 101576043
Informations de publication
Date de publication:
Oct 2022
Oct 2022
Historique:
received:
21
07
2022
revised:
29
08
2022
accepted:
05
09
2022
entrez:
13
10
2022
pubmed:
14
10
2022
medline:
14
10
2022
Statut:
epublish
Résumé
Peanut allergy is a frequent cause of food allergy and potentially life-threatening. Within this interdisciplinary research approach, we aim to unravel the complex mechanisms of peanut allergy. As a first step were applied in an exploratory manner the analysis of peanut allergic versus non-allergic controls. Biosamples were studied regarding DNA methylation signatures, gut microbiome, adaptive and innate immune cell populations, soluble signaling molecules and allergen-reactive antibody specificities. We applied a scalable systems medicine computational workflow to the assembled data. We identified combined cellular and soluble biomarker signatures that stratify donors into peanut-allergic and non-allergic with high specificity. DNA methylation profiling revealed various genes of interest and stool microbiota differences in bacteria abundances. By extending our findings to a larger set of patients (e.g., children vs. adults), we will establish predictors for food allergy and tolerance and translate these as for example, indicators for interventional studies.
Sections du résumé
Background
UNASSIGNED
Peanut allergy is a frequent cause of food allergy and potentially life-threatening. Within this interdisciplinary research approach, we aim to unravel the complex mechanisms of peanut allergy. As a first step were applied in an exploratory manner the analysis of peanut allergic versus non-allergic controls.
Methods
UNASSIGNED
Biosamples were studied regarding DNA methylation signatures, gut microbiome, adaptive and innate immune cell populations, soluble signaling molecules and allergen-reactive antibody specificities. We applied a scalable systems medicine computational workflow to the assembled data.
Results
UNASSIGNED
We identified combined cellular and soluble biomarker signatures that stratify donors into peanut-allergic and non-allergic with high specificity. DNA methylation profiling revealed various genes of interest and stool microbiota differences in bacteria abundances.
Conclusion
UNASSIGNED
By extending our findings to a larger set of patients (e.g., children vs. adults), we will establish predictors for food allergy and tolerance and translate these as for example, indicators for interventional studies.
Identifiants
pubmed: 36225266
doi: 10.1002/clt2.12197
pii: CLT212197
pmc: PMC9533219
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e12197Informations de copyright
© 2022 The Authors. Clinical and Translational Allergy published by John Wiley and Sons Ltd on behalf of European Academy of Allergy and Clinical Immunology.
Déclaration de conflit d'intérêts
All authors declare no competing interests.
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