ArticleClinical and translational allergy2022
An interdisciplinary approach to characterize peanut-allergic patients-First data from the FOOD@ consortium.
Article in Clinical and translational allergy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- MicroRNA expression and their molecular targets in food allergies: a systematic review.Frontiers in immunology · 2025Pooled it
- Diverging in Vivo Immune Response Patterns After Oral Food Challenge in Peanut Allergic Adults.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026Article
- metadeconfoundR: Covariate analysis of high-dimensional cross-sectional omics data.Bioinformatics advances · 2026Article
- Histamine-induced RPS6 phosphorylation in dendritic cells is associated with the severity of peanut allergic reactions.JCI insight · 2025Article
- AllergyPred: a web server for allergen prediction.Nucleic acids research · 2025Article
- Review
- An interdisciplinary approach to characterize peanut-allergic patients-First data from the FOOD@ consortium.Clinical and translational allergy · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
31 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: 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: 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: 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: 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.