ArticleScientific reports2020
Comparing DNA methylation profiles across different tissues associated with the diagnosis of pediatric asthma.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- DNA methylation and cardiovascular disease in humans: a systematic review and database of known CpG methylation sites.Clinical epigenetics · 2023Pooled it
- From Airway Inflammation to Molecular Remodeling: Integrating YKL-40, MBL and Epigenetic Biomarkers in Asthma and COPD.Biomolecules · 2026Review
- Pathway-level epigenetic modeling illuminates the methylation architecture to asthma risk across tissues.Epigenetics & chromatin · 2026Article
- The epigenetic-immune-microbiome axis in early life: reprogramming the origins and endotypes of pediatric asthma.Frontiers in immunology · 2026Review
- Unmasking Pediatric Asthma: Epigenetic Fingerprints and Markers of Respiratory Infections.International journal of molecular sciences · 2025Review
- Developmental air pollution exposure augments airway hyperreactivity, alters transcriptome, and DNA methylation in female adult progeny.Communications biology · 2025Article
- Investigation of the Molecular Mechanism of Asthma in Meishan Pigs Using Multi-Omics Analysis.Animals : an open access journal from MDPI · 2025Article
- Decoding the role of DNA methylation in allergic diseases: from pathogenesis to therapy.Cell & bioscience · 2024Review
- Alterations in DNA methylation machinery in a rat model of osteoarthritis of the hip.Journal of orthopaedic surgery and research · 2024Article
- Grandmaternal allergen sensitization reprograms epigenetic and airway responses to allergen in second-generation offspring.American journal of physiology. Lung cellular and molecular physiology · 2023Article
- Early-life exposure to cigarette smoke primes lung function and DNA methylation changes atAmerican journal of physiology. Lung cellular and molecular physiology · 2023Article
- Development and validation of asthma risk prediction models using co-expression gene modules and machine learning methods.Scientific reports · 2023Article
- Multi-omic association study identifies DNA methylation-mediated genotype and smoking exposure effects on lung function in children living in urban settings.PLoS genetics · 2023Article
- Multi-Omics Profiling Approach to Asthma: An Evolving Paradigm.Journal of personalized medicine · 2022Review
- Associations between indicators of socioeconomic position and DNA methylation: a scoping review.Clinical epigenetics · 2021Article
- DNA Methylation in Huntington's Disease.International journal of molecular sciences · 2021Review
- Greater Than the Sum of Its Parts: Integrating Multiple Data Sets to Decipher Cigarette Smoking Effects on Airway Epithelium.American journal of respiratory cell and molecular biology · 2021Article
- Nasal DNA methylation differentiates severe from non-severe asthma in African-American children.Allergy · 2021Article
- Epigenome-scale comparison of DNA methylation between blood leukocytes and bronchial epithelial cells.Epigenomics · 2021Article
- A review of epigenetic changes in asthma: methylation and acetylation.Clinical epigenetics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
DNA methylation (DNAm) profiles in central airway epithelial cells (AECs) may play a key role in pathological processes in asthma. The goal of the current study is to compare the diagnostic performance of DNAm markers across three tissues: AECs, nasal epithelial cells (NECs), and peripheral blood mononuclear cells (PBMCs). Additionally, we focused on the results using the machine learning algorithm in the context of multi-locus effects to evaluate the diagnostic performance of the optimal subset of CpG sites. We obtained 74 subjects with asthma and 41 controls from AECs, 15 subjects with asthma and 14 controls from NECs, 697 subjects with asthma and 97 controls from PBMCs. Epigenome-wide DNA methylation levels in AECs, NECs and PBMCs were measured using the Infinium Human Methylation 450 K BeadChip. Overlap analysis across the three different sample sources at the locus and pathway levels were studied to investigate shared or unique pathophysiological processes of asthma across tissues. Using the top 100 asthma-associated methylation markers as classifiers from each dataset, we found that both AEC- and NEC-based DNAm signatures exerted a lower classification error than the PBMC-based DNAm markers (p-value = 0.0002). The area-under-the-curve (AUC) analysis based on out-of-bag errors using the random forest classification algorithm revealed that PBMC-, NEC-, and AEC-based methylation data yielded 31 loci (AUC: 0.87), 8 loci (AUC: 0.99), and 4 loci (AUC: 0.97) from each optimal subset of tissue-specific markers, respectively. We also discovered the locus-locus interaction of DNAm levels of the CDH6 gene and RAPGEF3 gene might interact with each other to jointly predict the risk of asthma - which suggests the pivotal role of cell-cell junction in the pathological changes of asthma. Both AECs and NECs might provide better diagnostic accuracy and efficacy levels than PBMCs. Further research is warranted to evaluate how these tissue-specific DNAm markers classify and predict asthma risk.
Indexed as
Identifiers
What OpenQuestion holds
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.