Lewy body dementia promotion by air pollutants
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE297423 | GEO | 2025/11/13
REPOSITORIES: GEO
Dataset's files
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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:Over the last years, evidence has grown that exposure to air pollution, in addition to impairing lung function and health in individuals of all age, can be linked to negative effects in newborn when present during pregnancy. Data suggests that intrauterine exposure of fetuses (exposure of the mother to air pollution during pregnancy) in fact exerts a negative impact on lung development. However, the means by which exposure during pregnancy affects lung development, have not been studied in depth yet. In this study, we investigated alterations of the transcriptome of the developing lung in a mouse model of gestational and early-life postnatal exposure to urban PM2.5 (from Sao Paulo, Brazil).
2018-06-08 | GSE104656 | GEO
Project description:Air pollution particulate matter <2.5 microns (PM2.5) is associated with poor respiratory outcomes. Mechanisms underlying PM2.5-induced lung pathobiology are poorly understood, but likely involve cellular and molecular changes to the airway epithelium. We extracted and chemically characterized the organic and water-soluble components of contemporary ambient air pollution PM2.5 samples. We then determined the whole transcriptome responses of human mucociliary airway epithelial cultures (n=12) to a dose series of PM2.5 extracts. We found PM2.5 organic, but not water-soluble, constituents elicited a potent, dose-dependent transcriptomic response from the mucociliary epithelium. Epithelial exposure to a moderate organic extract (OE) dose modified the expression of 424 genes, which included activation of aryl-hydrocarbon receptor (AHR) signaling and an interleukin-1 inflammatory program. We generated an OE response network composed of 8 metagroups, which exhibited high connectivity through the CYP1A1, IL1A, and IL1B genes. This OE exposure also robustly activated a mucus secretory expression program (>100 genes), which included transcriptional drivers of mucus metaplasia (SPDEF, FOXA3). Exposure to a higher OE dose modified the expression of 1,240 genes and further exacerbated expression responses observed at the moderate dose, including the mucus secretory program. Moreover, the higher OE dose significantly increased the MUC5AC/MUC5B gel-forming mucin expression ratio and strongly downregulated ciliated cell expression programs, including key ciliating cell transcription factors (FOXJ1, MCIDAS). Our results suggest organic chemicals in PM2.5 likely drive cellular remodeling of the airway epithelium, punctuated by mucus metaplasia and loss of ciliated cells. This epithelial remodeling may underlie poor respiratory outcomes associated with high PM2.5 exposure.
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Project description:Maternal exposure to particulate air pollution increases the incidence and severity of asthma in offspring, yet the mechanisms for this are unclear. Known susceptibility loci are a minor component of this effect. We interrogate a mouse allergic airway disease model to assess epigenetic associations between maternal air pollution exposure and asthma-like responses in offspring. Maternal air pollution exposure increased allergic airway disease severity in adult offspring associated with a suppressed transcriptomic response to allergen. Control progeny showed differential expression of 2842 genes across several important pathways, including the SMAD and TGFβR pathways, whilst air pollutant progeny showed an 80% reduction in differentially expressed genes and abrogation of many pathway associations. Whole genome CpG methylome analysis following allergen challenge detected differential methylation regions across the genome. Approximately 20% of differentially expressed genes were associated with differential methylation. Differentially methylated regions were markedly reduced in offspring of air pollution exposed mothers, and this was most evident in intronic regions and some transposable element classes. This study shows that allergic airways disease in adult offspring of PM2.5 exposed mothers had a markedly repressed transcriptomic response, a proportion of which was associated with identifiable changes in the lung’s methylome. The results point to an epigenetic contribution to the severity of asthma in offspring of mothers exposed to particulate air pollution.
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Project description:Background: Epidemiologic associations between acutely increased cardiorespiratory morbidity and mortality and particulate air pollution are well-established, but the effects of acute pollution exposure on human gene expression changes are not well understood. Objectives: In order to identify potential mechanisms underlying epidemiologic associations between air pollution and morbidity, we explored changes in gene expression in humans following inhalation of fresh diesel exhaust (DE), a model for particulate air pollution. Methods: 14 ethnically homogeneous (white males), young, healthy subjects underwent sixty minute inhalation exposures on 2 separate days with clean air (CA) or freshly generated and diluted DE at a concentration of 300 μg/m3 PM2.5. Prior to and 24 hours following each session, whole blood was sampled and fractionated for PBMC isolation, RNA extraction, and generation of cDNA, followed by hybridization with Agilent Whole Human Genome (4X44K) arrays. Results: Oxidative stress and the ubiquitin proteasome pathway, as well as the coagulation system, were among hypothesized pathways identified by analysis of differentially expressed genes. Nine genes from these pathways were validated using real-time PCR comparing fold change in expression between DE exposed and clean (CA) days. Quantitative gene fold changes generated by real-time PCR were consistent with the directional fold changes from the microarray analysis. Conclusions: Changes in gene expression connected with key oxidative stress, protein degradation, and coagulation pathways are likely to underlie observed physiologic and clinical outcomes and suggest specific avenues and sensitive time points for further physiologic exploration. Diesel exhaust inhalation exposure-induced human gene expression changes were measured in peripheral blood mononuclear cells. 14 white males subjects were seated in a controlled environment facility for 2 separate 60 minute inhalation exposures which occurred at least 1 week apart to either clean air and freshly generate or diluted diesel exhaust (300ug/m3 PM2.5) .Blood collection occurred immediately prior to and 24 hours following exposures. Two microarrays per subject were completed using Agilent Whole Human Genome (4X44K) arrays. Genes that were of interest to our research group were verified using Real Time PCR analysis.
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2016-07-08 | GSE83864 | GEO
Project description:Fine particulate matter (PM2.5) pollution remains a major threat to public health. As the physical barrier against inhaled air pollutants, airway epithelium is a primary target for PM2.5 and influenza viruses, two major environmental insults. Recent studies have shown that PM2.5 and influenza viruses may interact to aggravate airway inflammation, an essential event in the pathogenesis of diverse pulmonary diseases. Airway epithelium plays a critical role in lung health and disorders. Thus far, the mechanisms for the interactive effect of PM2.5 and the influenza virus on gene transcription of airway epithelial cells have not been fully uncovered. In this present pilot study, the transcriptome sequencing approach was introduced to identify responsive genes following individual and co-exposure to PM2.5 and influenza A (H3N2) viruses in a human bronchial epithelial cell line (BEAS-2B). Enrichment analysis revealed the function of differentially expressed genes (DEGs). Specifically, the DEGs enriched in the xenobiotic metabolism by the cytochrome P450 pathway were linked to PM2.5 exposure. In contrast, the DEGs enriched in environmental information processing and human diseases, such as viral protein interaction with cytokines and cytokine receptors and epithelial cell signaling in bacterial infection, were significantly related to H3N2 exposure. Meanwhile, this study found that co-exposure to PM2.5 and H3N2 may affect G protein-coupled receptors on the cell surface by modulating Ca2+. Thus, the results from this study provides insights into PM2.5- and influenza virus-induced airway inflammation and potential mechanisms
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Project description:The Global Burden of Disease implicates air pollution in mediating as much as 20% of Type 2 Diabetes mellitus globally. This profound impact of air pollution is supported by experimental studies suggesting effects on whole body metabolism and insulin resistance. We explored the effect of chronic inhalational air pollution exposure for 12 weeks, using a whole body inhalation device in mice that allows for daily exposure to concentrated ambient particulate matter <2.5 microns (6 hours/day, 5 days a week) on whole body metabolism and brown adipose tissue (BAT) function, with detailed investigation of differentially methylated regions (DMRs), chromatin accessibility (differential accessible regions or DARs), and differential gene expression (DEGs) levels using a combination of whole genome bisulfite sequencing, ATAC-sequencing, and RNA-sequencing respectively. A significant impact of chronic PM2.5 exposure on BAT function and whole-body metabolism through alterations in key BAT transcriptional programs resulting in increased redox stress, lipid deposition, fibrosis and reduced thermogenic function of BAT was observed. Significant differential methylation with evidence for both hypomethylation and hypermethylation involving target regions corresponding to both circadian and Nrf2 target genes including sites enriched for transcription factor binding sites implicated in redox stress, insulin resistance and BAT function in response to PM2.5. ATAC sequencing revealed widespread chromatin remodeling involving intronic regions and enhancer elements and loss of DARs in Ucp1 and Gclc major regulatory genes associated with thermogenesis and glutathione synthesis. DARs-DEGs interaction analysis pointed to functional pathways linked to diabetes development, fatty acid biosynthesis activation and activation of JAK-STAT, and MAPK in PM-exposed mice. Integrated analysis of DARs, DEGs and DMRs uncovered the Histone de-acetylase Hdac9 and Kdm2b, a Histone demethylase that demethylates 'Lys-4' and 'Lys-36' of histone H3. ChiP studies demonstrated that Hdac9 physically interacts with the BAT transcription factor Prdm16 and rorα in BAT decreasing their expression and providing at least one direct mechanism for our observations. Collectively our results results link DNA methylation with control of chromatin accessibility and gene expression changes involved in the alteration of brown fat metabolism linking chronic air pollution exposure with alterations in BAT and whole-body metabolism
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