Novel DNA methylation changes in mouse lungs associated with heavy smoking
Onuzulu, C. D.; Lee, S.; Basu, S.; Comte, J.; Hai, Y.; Hizon, N.; Chadha, S.; Fauni, M. S.; Kahnamoui, S.; Halayko, A. J.; Pascoe, C.; Jones, M. J.
Show abstract
Smoking is a potent cause of asthma, chronic obstructive pulmonary disease (COPD) and many other health defects, and changes in DNA methylation (DNAm) have been identified as a potential link between smoking and these health outcomes. However, most links between smoking and DNAm have been made using blood and other easily accessible tissues in humans, while evidence from more directly affected tissues such as the lungs is greatly lacking. Here, we identified DNAm patterns which are altered by smoking directly in the lungs. We used a well-established mouse model to measure the effects of heavy smoking first on lung phenotype immediately after smoking and then after a period of smoking cessation. Next, we determined whether our mouse model could recapitulate previous DNAm patterns observed in smoking humans by measuring DNAm at a candidate gene responsive to cigarette smoke (CS), Cyp1a1. Finally we carried out epigenome-wide DNAm analyses using the newly released Illumina mouse methylation microarrays. Our results recapitulate some of the phenotypes and DNAm patterns observed in human studies but reveal 32 differentially methylated genes specific to the lungs which have not been previously associated with smoking. The affected genes are known to be involved in nicotine dependency, tumorigenesis and metastasis, immune cell dysfunction, lung function decline, and COPD. This research emphasizes the need to study CS-mediated DNAm signatures in directly affected tissues like the lungs, as that may be essential in understanding mechanisms underlying CS-mediated health outcomes.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Sex, androgens and regulation of pulmonary AR, TMPRSS2 and ACE2 94%
- Peripheral blood transcriptomic profiling indicates molecular mechanisms commonly regulated by binge-drinking and placebo-effects 92%
- A Differential DNA Methylome Signature of Pulmonary Immune Cells from Individuals Converting to Latent Tuberculosis Infection 92%
Similar papers in this journal
- Development and validation of a mouse model of contemporary cannabis smoke exposure 96%
- Expression of the endocannabinoid system in the human airway epithelial cells: Impact of sex and chronic respiratory disease status 93%
- Development and validation of an open-source, disposable, 3D-printed in vitro environmental exposure system for Transwell culture inserts 92%
Similar papers in this journal
- Polymethylation Scores for Prenatal Maternal Smoke Exposure Persist Until Age 15 and Are Detected in Saliva in the Fragile Families and Child Wellbeing Cohort 93%
- Smoking and blood DNA methylation: novel associations, replication of previous findings and assessment of reversibility 92%
- Immune pathways and perinatal environmental exposures contribute to epigenetic gestational age prediction and acceleration 92%
Similar papers in this journal
- Single-cell transcriptomics identifies altered neutrophil dynamics and accentuated T-cell cytotoxicity in tobacco flavored e-cigarette exposed mouse lungs 93%
- Effect of chronic JUUL aerosol inhalation on inflammatory states of the brain, lung, heart and colon in mice 93%
- The influence of early moderate prenatal alcohol exposure and maternal diet on offspring DNA methylation: a cross-species study 93%
Similar papers in this journal
- Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer 91%
- Postnatal maternal care moderates the effects of prenatal bisphenol exposure on offspring neurodevelopmental, behavioral, and transcriptomic outcomes 91%
- Arsenic exposure is associated with elevated sweat chloride concentration and airflow obstruction among adults in Bangladesh: a cross sectional study 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.