ArticleChest2023
Changing Smoking Behavior and Epigenetics: A Longitudinal Study of 4,432 Individuals From the General Population.
Article in Chest, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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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
10 citing papers in PubMed, 12 citations in OpenAlex.
- Current smoking and COPD are associated with differentiation-dependent secretory and inflammatory programs in airway basal cells.Respiratory research · 2026Article
- Polyunsaturated fatty acids modulation of smoking-related epigenetics and pulmonary outcomes.Genes & nutrition · 2026Article
- Association of smoking behaviors with GOLD biological age acceleration and potential mediation: Evidence from NHANES 1999-2023.Tobacco induced diseases · 2026Article
- Extracellular vesicle-encapsulated microRNA signatures of cigarette smoking and smoking-related harm.Respiratory medicine · 2025Article
- Role of Epigenetics in Chronic Lung Disease.Cells · 2025Review
- The Intersection of Epigenetics and Senolytics in Mechanisms of Aging and Therapeutic Approaches.Biomolecules · 2024Review
- ERJ advances: epigenetic ageing and leveraging DNA methylation in chronic respiratory diseases.The European respiratory journal · 2024Article
- Genome-wide DNA methylation analysis of cannabis use disorder in a veteran cohort enriched for posttraumatic stress disorder.Psychiatry research · 2024Article
- Blood LeukocyteCancer research communications · 2023Article
- Epigenetics and the Exposome: DNA Methylation as a Proxy for Health Impacts of Prenatal Environmental Exposures.Exposome · 2023Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHypomethylation of the aryl hydrocarbon receptor repressor (AHRR) gene indicates long-term smoking exposure and might therefore be a monitor for smoking-induced disease risk. However, studies of individual longitudinal changes in AHRR methylation are sparse. RESEARCH QUESTION: How does the recovery of AHRR methylation depend on change in smoking behaviors and demographic variables? STUDY DESIGN AND
methodsThis study included 4,432 individuals from the Copenhagen City Heart Study, with baseline and follow-up blood samples and smoking information collected approximately 10 years apart. AHRR methylation at the cg05575921 site was measured in bisulfite-treated leukocyte DNA. Four smoking groups were defined: participants who never smoked (Never-Never), participants who formerly smoked (Former-Former), participants who quit during the study period (Current-Former), and individuals who smoked at both baseline and follow-up (Current-Current). Methylation recovery was defined as the increase in AHRR methylation between baseline and follow-up examination.
resultsMethylation recovery was highest among participants who quit, with a median methylation recovery of 5.58% (interquartile range, 1.79; 9.15) vs 1.64% (interquartile range, -1.88; 4.96) in the Current-Current group (P < .0001). In individuals who quit smoking, older age was associated with lower methylation recovery (P < .0001). In participants who quit aged > 65 years, methylation recovery was 5.9% at 5.6 years after quitting; methylation recovery was 8.5% after 2.8 years for participants who quit aged < 55 years.
interpretationAHRR methylation recovered after individuals quit smoking, and recovery was more pronounced and occurred faster in younger compared with older interim quitters.
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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.