ArticleScientific reports2016
Omics for prediction of environmental health effects: Blood leukocyte-based cross-omic profiling reliably predicts diseases associated with tobacco smoking.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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Who cites it
21 citing papers in PubMed, 41 citations in OpenAlex.
- Peripheral blood gene expression signatures which reflect smoking and aspirin exposure are associated with cardiovascular events.BMC medical genomics · 2018Trial
- Y chromosome-linked UTY modulates sex differences in valvular fibroblast methylation in response to nanoscale extracellular matrix cues.Science advances · 2025Article
- Comparative Analysis of Transcriptional Responses to Genotoxic and Non-Genotoxic Agents in the Blood Cell Model TK6 and the Liver Model HepaRG.International journal of molecular sciences · 2022Article
- Faecal miRNA profiles associated with age, sex, BMI, and lifestyle habits in healthy individuals.Scientific reports · 2021Article
- Prospective Identification of Elevated Circulating CDCP1 in Patients Years before Onset of Lung Cancer.Cancer research · 2021Article
- Cigarette smoke-induced alterations in blood: A review of research on DNA methylation and gene expression.Experimental and clinical psychopharmacology · 2021Review
- Blood Transcriptome Response to Environmental Metal Exposure Reveals Potential Biological Processes Related to Alzheimer's Disease.Frontiers in public health · 2020Article
- Circulating levels of inflammatory markers and DNA methylation, an analysis of repeated samples from a population based cohort.Epigenetics · 2019Article
- DNA methylation profiling implicates exposure to PCBs in the pathogenesis of B-cell chronic lymphocytic leukemia.Environment international · 2019Article
- Age-Related Differences in miRNA Expression in Mexican-American Newborns and Children.International journal of environmental research and public health · 2019Article
- Circulating small non-coding RNAs associated with age, sex, smoking, body mass and physical activity.Scientific reports · 2018Article
- Association between low-grade inflammation and Breast cancer and B-cell Myeloma and Non-Hodgkin Lymphoma: findings from two prospective cohorts.Scientific reports · 2018Article
- DNA methylation and exposure to ambient air pollution in two prospective cohorts.Environment international · 2017Article
- Cell-type deconvolution from DNA methylation: a review of recent applications.Human molecular genetics · 2017Review
- MicroRNA profile for health risk assessment: Environmental exposure to persistent organic pollutants strongly affects the human blood microRNA machinery.Scientific reports · 2017Article
- Tea and coffee consumption in relation to DNA methylation in four European cohorts.Human molecular genetics · 2017Article
- Rheumatoid Arthritis Naive T Cells Share Hypermethylation Sites With Synoviocytes.Arthritis & rheumatology (Hoboken, N.J.) · 2017Article
- Blood-based omic profiling supports female susceptibility to tobacco smoke-induced cardiovascular diseases.Scientific reports · 2017Article
- Methylated DNA/RNA in Body Fluids as Biomarkers for Lung Cancer.Biological procedures online · 2017Review
- miRNAs differentially expressed by next-generation sequencing in cord blood buffy coat samples of boys and girls.Epigenomics · 2016Article
Corrections and comments
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Authors and funding
16 authors at 12 institutions in 8 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The utility of blood-based omic profiles for linking environmental exposures to their potential health effects was evaluated in 649 individuals, drawn from the general population, in relation to tobacco smoking, an exposure with well-characterised health effects. Using disease connectivity analysis, we found that the combination of smoking-modified, genome-wide gene (including miRNA) expression and DNA methylation profiles predicts with remarkable reliability most diseases and conditions independently known to be causally associated with smoking (indicative estimates of sensitivity and positive predictive value 94% and 84%, respectively). Bioinformatics analysis reveals the importance of a small number of smoking-modified, master-regulatory genes and suggest a central role for altered ubiquitination. The smoking-induced gene expression profiles overlap significantly with profiles present in blood cells of patients with lung cancer or coronary heart disease, diseases strongly associated with tobacco smoking. These results provide proof-of-principle support to the suggestion that omic profiling in peripheral blood has the potential of identifying early, disease-related perturbations caused by toxic exposures and may be a useful tool in hazard and risk assessment.
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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.