ReviewGenes2023
A Review of the Epigenetic Clock: Emerging Biomarkers for Asthma and Allergic Disease.
Review in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Chemical and climatic environmental exposures and epigenetic aging: A systematic review.Environmental research · 2025Pooled it
- Extracellular vesicles and epigenetic aging clocks in tissue aging: an exosome-focused conceptual framework with a focus on skin.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Review
- Obesity, Air Pollution, and Epigenetic Modifications as Risk Factors for Asthma Phenotypes.International journal of molecular sciences · 2026Review
- Review
- Interplay of the nasal microbiome and epigenome among adolescents.Clinical epigenetics · 2026Article
- Triggering mechanisms of acute thunderstorm asthma: epithelial barrier disruption and immune dysregulation.Respiratory research · 2026Review
- Innate Immune System Biomarkers in Asthma in Older Age: A Mini Review.Archives of Iranian medicine · 2026Review
- Environmental safety thresholds for children with asthma symptoms: a prospective study of multitemporal air pollution exposure and longitudinal trajectories.Frontiers in public health · 2026Article
- DNA methylation-based epigenetic clocks highlight immune-driven aging acceleration in COVID-19 across diverse populations.Biogerontology · 2025Article
- Epigenetic age acceleration and allergic diseases: a bidirectional two-sample Mendelian randomization study.Clinical epigenetics · 2025Article
- Article
- Depressive symptoms partially mediate the relationship between psychosocial factors and epigenetic age acceleration in a multi-racial/ethnic sample of older adults.Brain, behavior, & immunity - health · 2025Article
- Greater residential greenness is associated with reduced epigenetic aging in adults.Scientific reports · 2025Article
- Elevated homocysteine is associated with increased rates of epigenetic aging in a population with mild cognitive impairment.Aging cell · 2024Article
- Article
- DNA Methylation in Aging and Alzheimer's Disease.Human brain (Hong Kong) · 2024Article
- Climate Change and New Challenges for Rural Communities: Particulate Matter Matters.Sustainability · 2023Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA methylation (DNAm) is a dynamic, age-dependent epigenetic modification that can be used to study interactions between genetic and environmental factors. Environmental exposures during critical periods of growth and development may alter DNAm patterns, leading to increased susceptibility to diseases such as asthma and allergies. One method to study the role of DNAm is the epigenetic clock-an algorithm that uses DNAm levels at select age-informative Cytosine-phosphate-Guanine (CpG) dinucleotides to predict epigenetic age (EA). The difference between EA and calendar age (CA) is termed epigenetic age acceleration (EAA) and reveals information about the biological capacity of an individual. Associations between EAA and disease susceptibility have been demonstrated for a variety of age-related conditions and, more recently, phenotypes such as asthma and allergic diseases, which often begin in childhood and progress throughout the lifespan. In this review, we explore different epigenetic clocks and how they have been applied, particularly as related to childhood asthma. We delve into how in utero and early life exposures (e.g., smoking, air pollution, maternal BMI) result in methylation changes. Furthermore, we explore the potential for EAA to be used as a biomarker for asthma and allergic diseases and identify areas for further study.
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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.