ArticleProceedings of the National Academy of Sciences of the United States of America2009
MicroRNAs as modulators of smoking-induced gene expression changes in human airway epithelium.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 203 papers, 2 of them syntheses 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
203 citing papers in PubMed, 2 syntheses or guidelines pooled it, 428 citations in OpenAlex.
- The role of epigenetics in respiratory health in urban populations in low and middle-income countries.Global health, epidemiology and genomics · 2019Pooled it
- MicroRNAs as potential signatures of environmental exposure or effect: a systematic review.Environmental health perspectives · 2015Pooled it
- Endobronchial miRNAs as biomarkers in lung cancer chemoprevention.Cancer prevention research (Philadelphia, Pa.) · 2013Trial
- Characterizing the molecular spatial and temporal field of injury in early-stage smoker non-small cell lung cancer patients after definitive surgery by expression profiling.Cancer prevention research (Philadelphia, Pa.) · 2013Trial
- Stage-Specific Reconstruction of Genome-Wide Genetic and Epigenetic Regulatory Networks Reveals Mechanistic Insights into Asthma Progression.International journal of molecular sciences · 2026Article
- Exercise and Epigenetic Regulation in COPD: Current Evidence and Potential Mechanistic Pathways.International journal of molecular sciences · 2025Review
- Persistent and novel changes in plasma microRNA profiles in patients with non-small cell lung cancer following tumour resection.Translational lung cancer research · 2025Article
- Cigarette smoke induces angiogenic activation in the cancer field through dysregulation of an endothelial microRNA.Communications biology · 2025Article
- miRNA Signatures in Alveolar Macrophages Related to Cigarette Smoke: Assessment and Bioinformatics Analysis.International journal of molecular sciences · 2025Article
- MiR-223-3p in Cancer Development and Cancer Drug Resistance: Same Coin, Different Faces.International journal of molecular sciences · 2024Review
- The Role of Exhaled Breath Condensate in Chronic Inflammatory and Neoplastic Diseases of the Respiratory Tract.International journal of molecular sciences · 2024Review
- MicroRNA Monitoring in Human Alveolar Macrophages from Patients with Smoking-Related Lung Diseases: A Preliminary Study.Biomedicines · 2024Article
- Downregulation ofeLife · 2024Article
- Circulating MicroRNA as Biomarkers of Anthracycline-Induced Cardiotoxicity:JACC. CardioOncology · 2024Review
- Downregulation ofbioRxiv : the preprint server for biology · 2024Article
- Epigenetic changes driven by environmental pollutants in lung carcinogenesis: a comprehensive review.Frontiers in public health · 2024Review
- Serum exosomal microRNA-1258 may as a novel biomarker for the diagnosis of acute exacerbations of chronic obstructive pulmonary disease.Scientific reports · 2023Article
- Air Pollution and microRNAs: The Role of Association in Airway Inflammation.Life (Basel, Switzerland) · 2023Review
- Article
- Differential Expression ofToxics · 2022Article
143 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 5 institutions in 1 country.
Funding
Abstract
We have shown that smoking impacts bronchial airway gene expression and that heterogeneity in this response associates with smoking-related disease risk. In this study, we sought to determine whether microRNAs (miRNAs) play a role in regulating the airway gene expression response to smoking. We examined whole-genome miRNA and mRNA expression in bronchial airway epithelium from current and never smokers (n = 20) and found 28 miRNAs to be differentially expressed (P < 0.05) with the majority being down-regulated in smokers. We further identified a number of mRNAs whose expression level is highly inversely correlated with miRNA expression in vivo. Many of these mRNAs contain potential binding sites for the differentially expressed miRNAs in their 3'-untranslated region (UTR) and are themselves affected by smoking. We found that either increasing or decreasing the levels of mir-218 (a miRNA that is strongly affected by smoking) in both primary bronchial epithelial cells and H1299 cells was sufficient to cause a corresponding decrease or increase in the expression of predicted mir-218 mRNA targets, respectively. Further, mir-218 expression is reduced in primary bronchial epithelium exposed to cigarette smoke condensate (CSC), and alteration of mir-218 levels in these cells diminishes the induction of the predicted mir-218 target MAFG in response to CSC. These data indicate that mir-218 levels modulate the airway epithelial gene expression response to cigarette smoke and support a role for miRNAs in regulating host response to environmental toxins.
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.