The human circulating miRNome reflects multiple diseases associated with short-term exposure to traffic-related air pollution
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE106221 | GEO | 2018/02/06
REPOSITORIES: GEO
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Project description:The human circulating miRNome reflects multiple diseases associated with short-term exposure to traffic-related air pollution
| PRJNA415951 | ENA
Project description:The study comprises of 24 subjects that have been exposed to high and low Traffic-related air pollution.
2022-01-01 | GSE125647 | GEO
Project description:Empirical evidence from both animals and humans suggest that PM2.5 (particulate matter < 2.5μm) exposure accelerates a variety of non-communicable diseases (NCDs) including Type 2 diabetes. We investigated whether chronic exposure to ambient air pollution (PM2.5), disrupts circadian rhythm to facilitate metabolic insulin resistance and compared the impact of inhaled ambient PM2.5 alone or in combination with continuous light exposure (LL). Exposure to PM2.5 induced peripheral IR, disrupted circadian steroid release, reduced peak oxygen consumption and altered brown adipose 18Ffluorodeoxyglucose uptake on PET imaging. These findings were identical to that seen with LL with no additive interaction between PM2.5 and LL. Transcriptome profiles in the liver revealed a number of differentially expressed circadian genes Bmal1 (Arntl/Npas2), Period (Per) and Cryptochrome (Cry) in response to PM2.5. Alteration in chromatin accessibility in circadian targets was observed with PM2.5 by Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) while chromatin immunoprecipitation (ChIP) analysis, showed a marked difference in promoter occupancy by p300. Our data suggest a previously unrecognized role of particulate air pollution in promoting circadian disruption and metabolic dysfunction through epigenetic regulation of multiple circadian targets
2020-12-01 | GSE145566 | 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:Traffic-related air pollution has been a common public health problem, which is associated with central nervous system dysfunction according to large-scale epidemiological studies. Current studies are mostly limited to artificial laboratory exposure environments and specific genetic mechanisms remain unclear. In the spring, we transported the aged mice from the laboratory to the 1-meter-high dry platform in the campus and tunnel at the same time. Aged mice were exposed form 7 am to 7 pm each day for 2, 4 and 12 weeks, respectively. Compared with the control group (in campus), the memory function of mice in the exposure group (in tunnel) was significantly impaired in Morris water maze. Traffic-related air pollution exposure increased the number of activated microglia in the hippocampal DG and CA1, and up-regulated mRNA expression of inflammatory factors IL-18, IL-1β, IL-6 and TNF-α. By screening the risk genes of Alzheimer’s disease, we found the mRNA and protein levels of ABCA7 were down-regulated and those of PYK2 were up-regulated in the dorsolateral prefrontal cortex (dPFC) of aged mice. The DNA methylation ratio increased in four CpG sites of abca7 promoter region and decreased in one CpG site of pyk2 promoter region, which were consistent with the altered expression of ABCA7 and PYK2. In conclusion, exposure to the real traffic environment impaired memory function and enhanced neuroinflammation of aged mice, which could be relevant to the alteration of ABCA7 and PYK2 gene expression. Our work provided a new and promising understanding of the pathological mechanisms of cognitive impairment caused by traffic-related air pollution.
2022-07-16 | GSE208109 | GEO
Project description:In this study, we modeled early life air pollution exposure using C57BL/6J male mice on a controlled chow diet, exposed to real-world inhaled concentrated PM2.5 (~10x ambient level/ ~60-120g/m3) or filtered air (FA) over 14 weeks. We investigated PM2.5 effects on phenotype, transcriptome and chromatin accessibility, compared the effects with a prototypical high-fat diet (HFD) stimulus, and examined the effects of cessation of exposure on reversibility of phenotype/genotype.
2020-11-05 | GSE145840 | 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:In the present study, we investigate pulmonary transcriptional responses in mice following exposure in situ to ambient air in a heavily polluted urban environment. Mature C57BL/CBA male mice were caged in sheds located in an urban area near two working steel mills and a major highway in Hamilton, Ontario, Canada. Control mice were housed in the same environment but received only high-efficiency particle-filtered air. Whole lung tissues were collected from mice exposed for 3 weeks, 10 weeks or for 10 weeks followed by 6 weeks in the laboratory (16 weeks total). DNA microarrays were used to explore changes in pulmonary gene expression in mice breathing ambient air versus HEPA-filtered air. Transcriptional profiling revealed changes in the expression of genes implicated in the lipid droplet synthesis pathway (plin, dgat2, lpl, s3-12, agpat2), antioxidants (ucp1). We postulate that exposure to particulate matter adsorbed with polycyclic aromatic hydrocarbons triggers lipid droplet synthesis (holding depots for lipids and malformed/excess proteins tagged for degradation) in the lungs, which act to sequester particulates adsorbed with toxic chemicals. Increased lipid droplet synthesis could potentially lead to endogenous/stressor-induced synthesis of reactive oxygen species and activation of antioxidant mechanisms. Further investigation into the stimulation of lipid droplet synthesis in the lung in response to air pollution is warranted in order to better understand these mechanistic changes and the resulting health implications. Mature male C57BL/6 x CBA F1 hybrid mice were exposed to either HEPA-filtered or ambient air in Hamilton, ON, Canada. Animals were exposed starting May 14, 2004 for 3 weeks (3wk), 10 weeks (10wk), or for 10 weeks followed by 6 weeks of recovery (16wk). Each treatment group consisted of five mice, for a total of 30 mice. Total RNA was isolated from a random section of the whole lung using TRIzol reagent (Invitrogen) and purified using the RNeasy Mini Kit (Qiagen). RNA quality was confirmed by UV spectrophotometry and using an Agilent Bioanalyzer. Total RNA (200 ng) from HEPA-filtered air or whole air-exposed mice and Universal Mouse Reference RNA (Stratagene) were used to synthesize double-stranded cDNA and cyanine-labelled cRNA according to the manufacturer's instructions (Agilent Linear Amplification Kits, Agilent Technologies). Biological samples were labelled with Cy5 dye while the commercially available Stratagene mouse reference RNA was labelled with Cy3 dye. At each of the three time points, ambient air-exposed samples and HEPA-filtered samples were hybridized to Agilent microarrays. Arrays were washed, and scanned on an Agilent G2505B scanner. Data were acquired using the Agilent Feature Extraction software version 9.5.3.1.
2013-09-30 | E-GEOD-41698 | biostudies-arrayexpress
Project description:In the present study, we investigate pulmonary transcriptional responses in mice following exposure in situ to ambient air in a heavily polluted urban environment. Mature C57BL/CBA male mice were caged in sheds located in an urban area near two working steel mills and a major highway in Hamilton, Ontario, Canada. Control mice were housed in the same environment but received only high-efficiency particle-filtered air. Whole lung tissues were collected from mice exposed for 3 weeks, 10 weeks or for 10 weeks followed by 6 weeks in the laboratory (16 weeks total). DNA microarrays were used to explore changes in pulmonary gene expression in mice breathing ambient air versus HEPA-filtered air. Transcriptional profiling revealed changes in the expression of genes implicated in the lipid droplet synthesis pathway (plin, dgat2, lpl, s3-12, agpat2), antioxidants (ucp1). We postulate that exposure to particulate matter adsorbed with polycyclic aromatic hydrocarbons triggers lipid droplet synthesis (holding depots for lipids and malformed/excess proteins tagged for degradation) in the lungs, which act to sequester particulates adsorbed with toxic chemicals. Increased lipid droplet synthesis could potentially lead to endogenous/stressor-induced synthesis of reactive oxygen species and activation of antioxidant mechanisms. Further investigation into the stimulation of lipid droplet synthesis in the lung in response to air pollution is warranted in order to better understand these mechanistic changes and the resulting health implications.
2013-09-30 | GSE41698 | GEO
Project description:Air pollutants including particulate matter (PM) and chemicals adsorbed onto PM pose a serious threat to human health. In this study, we analyzed the ability of PM to induce diverse gene expression profile modulation after chronic exposure in subjects living in two regions of the Czech Republic differing in levels and sources of the air pollution. We also considered impact of different seasonal conditions on concentrations and compositions of PM. Blood samples of 312 subjects from polluted Ostrava city and 154 controls from Prague city were collected in winter 2009, summer 2009 and winter 2010. The highest concentrations of air pollutants were detected in winter 2010 when the subjects were exposed to: PM of aerodynamic diameter < 2.5 M-BM-5m (70 vs. 44.9 M-BM-5g/m3); benzo[a]pyrene (9.02 vs. 2.56 ng/m3) and benzene (10.2 vs. 5.5 M-BM-5g/m3) in Ostrava and Prague, respectively. Global gene expression analysis of total RNA extracted from leukocytes was performed using whole genome microarrays (Illumina). The expression of selected genes was verified by quantitative real-time PCR (qRT-PCR). Despite lower concentrations of air pollutants we found a higher number of differentially expressed genes and affected KEGG pathways in subjects from Prague. In both locations we observed differences between seasons. The qRT-PCR analysis showed a significant decrease in expression of APEX, ATM, FAS, GSTM1, IL1B and RAD21 in subjects from Ostrava, in a comparison of winter 2010 and summer 2009. In Prague, an increase in gene expression was observed for GADD45A and PTGS2. In conclusion, high concentrations of pollutants in Ostrava do not increase the number of differentially expressed genes. This may be explained by adaption of humans to chronic exposure to air pollution. Total RNA was extracted from leukocytes of total of 154 control subjects and 312 subjects exposed to heavy air pollution. The samples were collected in three seasons (winter 2009, summer 2009, winter 2010) with different levels of air pollution. Most of the subjects were sampled repeatedly; however, some of them joined the study in summer 2009 or winter 2010.
2014-08-27 | E-GEOD-60767 | biostudies-arrayexpress