Expression of viral and human microRNAs in blood in The Beijing Truck Driver Air Pollution Study (BTDAS)
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE63087 | GEO | 2017/02/09
SECONDARY ACCESSION(S): PRJNA266583
REPOSITORIES: GEO
Similar Datasets
Project description:To investigate the cellular responses induced by air pollution exposures, we performed genome-wide gene expression microarray analysis using whole blood RNA sampled at three time-points across the work weeks of 63 non-smoking employees in the trucking industry. Our objective was to identify the genes and gene networks differentially activated in response to micro-environmental measures of occupational exposure to three pollutants: PM2.5 (particulate matter ≤ 2.5 microns in diameter) and elemental carbon (EC) and organic carbon (OC).
2016-07-08 | GSE83864 | GEO
Project description:MicroRNAs (miRNAs) are post-transcriptional gene suppressors and potential mediators of environmental effects. In addition to human miRNAs, viral miRNAs expressed from latent viral sequences are detectable in human cells.In a highly exposed population in Beijing, China, we evaluated the associations of particulate air pollution exposure on blood miRNA profiles.The Beijing Truck Driver Air Pollution Study (BTDAS) included 60 truck drivers and 60 office workers. We investigated associations of short-term air pollution exposure, using measures of personal PM2.5 (particulate matter ? 2.5 ?m) and elemental carbon (EC), and ambient PM10 (? 10 ?m), with blood NanoString nCounter miRNA profiles at two exams separated by 1-2 weeks.No miRNA was significantly associated with personal PM2.5 at a false discovery rate (FDR) of 20%. Short-term ambient PM10 was associated with the expression of 12 miRNAs in office workers only (FDR < 20%). Short-term EC was associated with differential expression of 46 human and 7 viral miRNAs, the latter including 3 and 4 viral miRNAs in office workers and truck drivers, respectively. EC-associated miRNAs differed between office workers and truck drivers with significant effect modification by occupational group. Functional interaction network analysis suggested enriched cellular proliferation/differentiation pathways in truck drivers and proinflammation pathways in office workers.Short-term EC exposure was associated with the expression of human and viral miRNAs that may influence immune responses and other biological pathways. Associations between EC exposure and viral miRNA expression suggest that latent viral miRNAs are potential mediators of air pollution-associated health effects. PM2.5/PM10 exposures showed no consistent relationships with miRNA expression.
| S-EPMC4786978 | biostudies-literature
Project description:ContextHistone modifications regulate gene expression; dysregulation has been linked with cardiovascular diseases. Associations between histone modification levels and blood pressure in humans are unclear.ObjectiveWe examine the relationship between global histone concentrations and various markers of blood pressure.Materials and methodsUsing the Beijing Truck Driver Air Pollution Study, we investigated global peripheral white blood cell histone modifications (H3K9ac, H3K9me3, H3K27me3, and H3K36me3) associations with pre- and post-work measurements of systolic (SBP) and diastolic (DBP) blood pressure, mean arterial pressure (MAP), and pulse pressure (PP) using multivariable mixed-effect models.ResultsH3K9ac was negatively associated with pre-work SBP and MAP; H3K9me3 was negatively associated with pre-work SBP, DBP, and MAP; and H3K27me3 was negatively associated with pre-work SBP. Among office workers, H3K9me3 was negatively associated with pre-work SBP, DBP, and MAP. Among truck drivers, H3K9ac and H3K27me were negatively associated with pre-work SBP, and H3K27me3 was positively associated with post-work PP.Discussion and conclusionEpigenome-wide H3K9ac, H3K9me3, and H3K27me3 were negatively associated with multiple pre-work blood pressure measures. These associations substantially changed during the day, suggesting an influence of daily activities. Blood-based histone modification biomarkers are potential candidates for studies requiring estimations of morning/pre-work blood pressure.
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Project description:The study comprises of 24 subjects that have been exposed to low (H) and high dose (O) ambient traffic pollution. Each subject has been exposed to 2 different exposure site. Blood samples were taken at both sites of which circulating miRNAs in plasma have been prepared
2018-02-06 | GSE106221 | GEO
Project description:The overall goal of this proposal is to use blood non-targeted high resolution metabolomics (HRM) to investigate the hypothesis that regional air pollution (NO2, PM2.5 and O3) and traffic-related air pollution exposures (traffic-related particulate matter components including EC2.5 and PM2.5 transition metals, and CALINE model-predicted NOx) alter key metabolic pathway(s) and that these alterations are associated with obesity and type 2 diabetes-related traits during the important developmental period of adolesence in the ongoing prospective Chidlren's Health study (CHS). Specific Aim 1 will examine the adverse impact of environmental chemicals in fasting blood samples measured by HRM on obesity (i.e., total body fat and body mass index (BMI)), metabolic dysfunction (e.g., fasting glucose and insulin concentrations and insulin resistance), and obesity-induced inflammation (i.e., leptin) among 104 Southern California adolescents enrolled in the CHS. Specific Aim 2 will examine associations of childhood exposures to PM2.5 and traffic-related air pollutants (i.e., CALINE model-predicted NOx) with biological metabolites identified in fasting blood samples using HRM among 104 adolescents in the CHS. Specific Aim 3 will investigate the metabolic pathways linking air pollution exposures and obesity and type 2 diabetes-related traits using pathway analysis under bayesian hierarchical model among 104 adolescents in the CHS.
2017-12-05 | ST000909 | MetabolomicsWorkbench
Project description:BackgroundPost-transcriptional modifications of RNA constitute fundamental mechanisms of gene regulation. N6-methyladenosine (m6A) is critical for health and disease and is modulated by cellular stressors. However, associations between environmental exposures and m6A have not been studied in humans. We aimed to examine associations between tobacco smoking and particulate air pollution with m6A and mRNA expression levels of its reader, writer and eraser (RWE) genes in blood.MethodsUsing the Beijing Truck Driver Air Pollution Study, we investigated global m6A in RNA from peripheral blood collected from 106 human subjects in Beijing, China, in 2008. We measured m6A with nano-flow liquid chromatography-tandem mass spectrometry and investigated gene expression of six m6A RWEs with real-time-quantitative PCR. Using linear models, we examined associations with smoking status, pack-years, and smoking on day of visit in men, and with environmental tobacco smoke in nonsmokers. We also examined associations with ambient PM10 (particulate matter ≤ 10 µm in diameter), and personal black carbon (BC) and PM2.5 measured with a portable monitor.ResultsSmoking in men was significantly associated with a relative 10.7% decrease in global m6A levels in comparison to nonsmokers (p = 0.02). In men, smoking greater than 3.8 pack-years was associated with a 14.9% lower m6A than in nonsmokers. BC exposure trended towards positive associations with m6A (5.95% per 10 μg/m3 increase in BC; 95% CI: -0.96, 13.3). Global m6A levels were not correlated with RWE gene expression levels. No associations were detected between smoking or air pollutants and m6A RWE gene expression.Discussionm6A was negatively associated with long-term smoking, yet positively associated with short-term BC exposure. These results indicate variable m6A responses to environmental stressors, providing early evidence into the impacts of toxicants on RNA modifications and suggesting potential for m6A as a biomarker or mechanism in environmental health research.
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Project description:Comparison of genome-wide gene expression between humans living in areas of high levels of air pollution and less polluted areas. Keywords: Comparison of genome-wide gene expression between different conditions
2008-04-17 | GSE7543 | GEO
Project description:Rationale: DNA methylation plays a critical role in asthma development, but differences in DNA methylation associated with asthma severity, especially among adults, are less well-defined. Changes in DNA methylation are influenced by exposure to air pollution, which is a risk factor for asthma exacerbation and severity. Here, we examined how DNA methylomic patterns in adult asthmatics differ by asthma severity and exposure to different components of air pollution. Methods: Peripheral blood CD3+ T cells from adult asthmatics in Beijing, China were serially collected from 37 patients (130 samples total) and analyzed for global DNA methylation using the Illumina MethylationEPIC Array. Measurements and Main Results: Significant differences in DNA methylation were noted among subjects with different degrees of asthma severity, as measured by fraction of exhaled nitric oxide, forced expiratory volume, and asthma control test scores. Differences in DNA methylation were annotated to genes that were enriched in pathways related to asthma or T cell function, and included gene ontology categories related to cellular adhesion, developmental pathways, and calcium signaling. Notable genes that were differentially methylated based on asthma severity included RUNX3, several members of the HLA family, PDGFRA, CDH1, CAV1, and NOTCH4. Differences in DNA methylation also varied by exposure to ambient air pollution, with different components of pollution effecting methylation of different groups of genes. Conclusion: These findings demonstrate how adult asthmatics possess widespread differences in the DNA methylation that associated with varying asthma severity and how air pollution might contribute to more severe asthma via changes in DNA methylation.
2024-07-31 | GSE226257 | GEO
Project description:There has been discrepancies between the daily air quality reports of the Beijing municipal government, observations recorded at the U.S. Embassy in Beijing, and Beijing residents' perceptions of air quality. This study estimates Beijing's daily area PM(2.5) mass concentration by means of a novel technique SPA (Single Point Areal Estimation) that uses data from the single PM(2.5) observation station of the U.S Embassy and the 18 PM(10) observation stations of the Beijing Municipal Environmental Protection Bureau. The proposed technique accounts for empirical relationships between different types of observations, and generates best linear unbiased pollution estimates (in a statistical sense). The technique extends the daily PM(2.5) mass concentrations obtained at a single station (U.S. Embassy) to a citywide scale using physical relations between pollutant concentrations at the embassy PM(2.5) monitoring station and at the 18 official PM(10) stations that are evenly distributed across the city. Insight about the technique's spatial estimation accuracy (uncertainty) is gained by means of theoretical considerations and numerical validations involving real data. The technique was used to study citywide PM(2.5) pollution during the 423-day period of interest (May 10, 2010 to December 6, 2011). Finally, a freely downloadable software library is provided that performs all relevant calculations of pollution estimation.
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Project description:Previous studies have reported epigenetic changes induced by environmental exposures. However, previous investigations did not distinguish 5-methylcytosine (5mC) from a similar oxidative form with opposite functions, 5-hydroxymethylcytosine (5hmC). Here, we measured blood DNA global 5mC and 5hmC by ELISA and used adjusted mixed-effects regression models to evaluate the effects of ambient PM10 and personal PM2.5 and its elemental components-black carbon (BC), aluminum (Al), calcium (Ca), potassium (K), iron (Fe), sulfur (S), silicon (Si), titanium (Ti), and zinc (Zn)-on blood global 5mC and 5hmC levels. The study was conducted in 60 truck drivers and 60 office workers in Beijing, China from The Beijing Truck Driver Air Pollution Study at 2 exams separated by one to 2 weeks. Blood 5hmC level (0.08%) was ∼83-fold lower than 5mC (6.61%). An inter-quartile range (IQR) increase in same-day PM10 was associated with increases in 5hmC of 26.1% in office workers (P = 0.004), 20.2% in truck drivers (P = 0.014), and 21.9% in all participants combined (P < 0.001). PM10 effects on 5hmC were increasingly stronger when averaged over 4, 7, and 14 d preceding assessment (up to 132.6% for the 14-d average in all participants, P < 0.001). PM10 effects were also significant after controlling for multiple testing (family-wise error rate; FWER < 0.05). 5hmC was not correlated with personal measures of PM2.5 and elemental components (FWER > 0.05). 5mC showed no correlations with PM10, PM2.5, and elemental components measures (FWER > 0.05). Our study suggests that exposure to ambient PM10 affects 5hmC over time, but not 5mC. This finding demonstrates the need to differentiate 5hmC and 5mC in environmental studies of DNA methylation.
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