ArticlePLoS genetics2014
DNA methylation changes separate allergic patients from healthy controls and may reflect altered CD4+ T-cell population structure.
Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
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Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.
- A meta-analysis of immune-cell fractions at high resolution reveals novel associations with common phenotypes and health outcomes.Genome medicine · 2023Pooled it
- Pooled it
- Single-cell multi-omics characterises transcriptional and chromatin accessibility heterogeneity of immune cells in allergic rhinitis.Clinical and translational medicine · 2026Article
- Genome-Wide Blood DNA Methylation Profiling in Birch Pollen Allergic Patients Undergoing Allergen-Specific Immunotherapy.Allergy · 2025Article
- Exploring putative links between gut microbiota and allergic rhinitis: insights from Mendelian randomization and multi-transcriptome integration.AMB Express · 2025Article
- Combining AlphaFold-based AI docking with omics technologies preliminarily unveils the mechanism of Guominkang in treating allergic rhinitis.Scientific reports · 2025Article
- Integrated multi-omics profiling reveals shared mechanistic pathways in asthma-allergic rhinitis comorbidity: A hybrid machine learning framework leveraging Mendelian randomization for precision diagnostics.The World Allergy Organization journal · 2025Article
- Article
- A systematic evaluation of cell-type-specific differential methylation analysis in bulk tissue.Briefings in bioinformatics · 2025Article
- Identification of immune-related biomarkers associated with allergic rhinitis and development of a sample diagnostic model.PloS one · 2025Article
- Bioinformatics analysis and identification of underlying biomarkers potentially linking allergic rhinitis and autophagy.Scientific reports · 2024Article
- Decoding the role of DNA methylation in allergic diseases: from pathogenesis to therapy.Cell & bioscience · 2024Review
- The Effects of Environmental Exposure on Epigenetic Modifications in Allergic Diseases.Medicina (Kaunas, Lithuania) · 2024Review
- Methylation-driven mechanisms of allergic rhinitis during pollen and non-pollen seasons using integrated bioinformatics analysis.Frontiers in genetics · 2024Article
- Comprehensive analysis reveals hub genes associated with immune cell infiltration in allergic rhinitis.World journal of otorhinolaryngology - head and neck surgery · 2023Article
- Seminar: Scalable Preprocessing Tools for Exposomic Data Analysis.Environmental health perspectives · 2023Article
- CimpleG: finding simple CpG methylation signatures.Genome biology · 2023Article
- Immunologic, genetic, and ecological interplay of factors involved in allergic diseases.Frontiers in allergy · 2023Review
- Epigenetic Mechanisms in Allergy Development and Prevention.Handbook of experimental pharmacology · 2022Article
- DNA methylation regulatory patterns and underlying pathways behind the co-pathogenesis of allergic rhinitis and chronic spontaneous urticaria.Frontiers in immunology · 2022Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
Altered DNA methylation patterns in CD4(+) T-cells indicate the importance of epigenetic mechanisms in inflammatory diseases. However, the identification of these alterations is complicated by the heterogeneity of most inflammatory diseases. Seasonal allergic rhinitis (SAR) is an optimal disease model for the study of DNA methylation because of its well-defined phenotype and etiology. We generated genome-wide DNA methylation (N(patients) = 8, N(controls) = 8) and gene expression (N(patients) = 9, Ncontrols = 10) profiles of CD4(+) T-cells from SAR patients and healthy controls using Illumina's HumanMethylation450 and HT-12 microarrays, respectively. DNA methylation profiles clearly and robustly distinguished SAR patients from controls, during and outside the pollen season. In agreement with previously published studies, gene expression profiles of the same samples failed to separate patients and controls. Separation by methylation (N(patients) = 12, N(controls) = 12), but not by gene expression (N(patients) = 21, N(controls) = 21) was also observed in an in vitro model system in which purified PBMCs from patients and healthy controls were challenged with allergen. We observed changes in the proportions of memory T-cell populations between patients (N(patients) = 35) and controls (N(controls) = 12), which could explain the observed difference in DNA methylation. Our data highlight the potential of epigenomics in the stratification of immune disease and represents the first successful molecular classification of SAR using CD4(+) T cells.
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