Identification of time-dependent biomarkers and effects of exposure to volatile organic compounds using high-throughput analysis
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE68909 | GEO | 2015/05/15
SECONDARY ACCESSION(S): PRJNA283994
REPOSITORIES: GEO
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Project description:In this study, we examined the effects of VOCs exposure in humans on gene expression using microarray analysis. We recruited participants who had short-term exposure, long-term exposure, or no exposure. We then analyzed changes in gene expression in blood samples from these participants. A total of 866 genes were upregulated, while 366 genes were downregulated in the short-term exposure group. Similarly, in the long-term exposure group, a total of 852 and 480 genes were up- or downregulated, respectively. Hierarchical clustering analysis was used to divide the clustered genes into nine clusters to investigate the expression of variations in accordance with the exposure period. Further research is required to determine the time-dependent effects of VOCs on epigenetic regulation of gene expression.
2015-05-15 | GSE68906 | GEO
Project description:Methylation of DNA is one of the common epigenetic signaling tools that cells use to lock the expression of various genes. In this study, we examined the effects of VOCs exposure in humans on methylation using microarray analysis. We recruited participants who had short-term exposure, long-term exposure, or no exposure. We then analyzed changes in methylation in blood samples from these participants. We found that 1178 genes were hypermethylated and 402 genes were hypomethylated compared with the control group in time-dependent manner. Further research is required to determine the time-dependent effects of VOCs on epigenetic regulation of gene expression.
2015-05-15 | GSE68908 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2015-05-15 | E-GEOD-68909 | biostudies-arrayexpress
Project description:In this study, we examined the effects of VOCs exposure in humans on gene expression using microarray analysis. We recruited participants who had short-term exposure, long-term exposure, or no exposure. We then analyzed changes in gene expression in blood samples from these participants. A total of 866 genes were upregulated, while 366 genes were downregulated in the short-term exposure group. Similarly, in the long-term exposure group, a total of 852 and 480 genes were up- or downregulated, respectively. Hierarchical clustering analysis was used to divide the clustered genes into nine clusters to investigate the expression of variations in accordance with the exposure period. Further research is required to determine the time-dependent effects of VOCs on epigenetic regulation of gene expression. Gene expression of mRNA in human blood samples (IRB #AS 14039) divided into three groups: control (unexposed workers; n = 12), short-term exposure (workers exposed to VOCs for less than 10 years; n = 12), and long-term exposure (workers exposed to VOCs for more than 10 years; n = 12) was experimented by microarray analysis after exposure to VOCs
2015-05-15 | E-GEOD-68906 | biostudies-arrayexpress
Project description:Methylation of DNA is one of the common epigenetic signaling tools that cells use to lock the expression of various genes. In this study, we examined the effects of VOCs exposure in humans on methylation using microarray analysis. We recruited participants who had short-term exposure, long-term exposure, or no exposure. We then analyzed changes in methylation in blood samples from these participants. We found that 1178 genes were hypermethylated and 402 genes were hypomethylated compared with the control group in time-dependent manner. Further research is required to determine the time-dependent effects of VOCs on epigenetic regulation of gene expression. Methylation of DNA in human blood samples (IRB #AS 14039) divided into three groups: control (unexposed workers; n = 12), short-term exposure (workers exposed to VOCs for less than 10 years; n = 12), and long-term exposure (workers exposed to VOCs for more than 10 years; n = 12) was experimented by methylation microarray analysis after exposure to VOCs
2015-05-15 | E-GEOD-68908 | biostudies-arrayexpress
Project description:BackgroundExposure to low levels of volatile organic compounds (VOCs) in ordinary life is suspected to be related to oxidative stress and decreased lung function. This study evaluated whether exposure to ambient VOCs in indoor air affects airway inflammation.MethodsThirty-four subjects from the hospital that had moved to a new building were enrolled. Symptoms of sick building syndrome, pulmonary function tests, and fractional exhaled nitric oxide (FeNO) were evaluated, and random urine samples were collected 1 week before and after the move. Urine samples were analyzed for VOC metabolites, oxidative stress biomarkers, and urinary leukotriene E4 (uLTE4) levels.ResultsThe level of indoor VOCs in the new building was higher than that in the old building. Symptoms of eye dryness and eye irritation, as well as the level of a xylene metabolite (o-methylhippuric acid) increased after moving into the new building (p = 0.012, p = 0.008, and p < 0.0001, respectively). For the inflammatory markers, FeNO decreased (p = 0.012 and p = 0.04, respectively) and the uLTE4 level increased (p = 0.005) after the move.ConclusionExposure to a higher level of VOCs in everyday life could affect airway inflammation.
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Project description:ObjectivesTo identify and summarise volatile organic compound (VOC) exposure profiles of healthcare occupations.MethodsPersonal (n=143) and mobile area (n=207) evacuated canisters were collected and analysed by a gas chromatograph/mass spectrometer to assess exposures to 14 VOCs among 14 healthcare occupations in five hospitals. Participants were volunteers identified by their supervisors. Summary statistics were calculated by occupation. Principal component analysis (PCA) was used to reduce the 14 analyte inputs to five orthogonal factors and identify occupations that were associated with these factors. Linear regressions were used to assess the association between personal and mobile area samples.ResultsExposure profiles differed among occupations; ethanol had the highest geometric mean (GM) among nursing assistants (∼4900 and ∼1900 µg/m(3), personal and area), and 2-propanol had the highest GM among medical equipment preparers (∼4600 and ∼2000 µg/m(3), personal and area). The highest total personal VOC exposures were among nursing assistants (∼9200 µg/m(3)), licensed practical nurses (∼8700 µg/m(3)) and medical equipment preparers (∼7900 µg/m(3)). The influence of the PCA factors developed from personal exposure estimates varied by occupation, which enabled a comparative assessment of occupations. For example, factor 1, indicative of solvent use, was positively correlated with clinical laboratory and floor stripping/waxing occupations and tasks. Overall, a significant correlation was observed (r=0.88) between matched personal and mobile area samples, but varied considerably by analyte (r=0.23-0.64).ConclusionsHealthcare workers are exposed to a variety of chemicals that vary with the activities and products used during activities. These VOC profiles are useful for estimating exposures for occupational hazard ranking for industrial hygienists as well as epidemiological studies.
| S-EPMC4591534 | biostudies-literature
Project description:Quantifying volatile organic compounds (VOCs) in cigarette smoke is necessary to establish smoke-related exposure estimates and evaluate emerging products and potential reduced-exposure products. In response to this need, we developed an automated, multi-VOC quantification method for machine-generated, mainstream cigarette smoke using solid-phase microextraction gas chromatography-mass spectrometry (SPME-GC-MS). This method was developed to simultaneously quantify a broad range of smoke VOCs (i.e., carbonyls and volatiles, which historically have been measured by separate assays) for large exposure assessment studies. Our approach collects and maintains vapor-phase smoke in a gas sampling bag, where it is homogenized with isotopically labeled analogue internal standards and sampled using gas-phase SPME. High throughput is achieved by SPME automation using a CTC Analytics platform and custom bag tray. This method has successfully quantified 22 structurally diverse VOCs (e.g., benzene and associated monoaromatics, aldehydes and ketones, furans, acrylonitrile, 1,3-butadiene, vinyl chloride, and nitromethane) in the microgram range in mainstream smoke from 1R5F and 3R4F research cigarettes smoked under ISO (Cambridge Filter or FTC) and Intense (Health Canada or Canadian Intense) conditions. Our results are comparable to previous studies with few exceptions. Method accuracy was evaluated with third-party reference samples (≤15% error). Short-term diffusion losses from the gas sampling bag were minimal, with a 10% decrease in absolute response after 24 h. For most analytes, research cigarette inter- and intrarun precisions were ≤20% relative standard deviation (RSD). This method provides an accurate and robust means to quantify VOCs in cigarette smoke spanning a range of yields that is sufficient to characterize smoke exposure estimates.
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Project description:In this study, single-lung ventilation was used to detect differences in the volatile organic compound (VOCs) profiles between lung tissues in healthy and affected lungs. In addition, changes that occurred after lung cancer resection in both the VOCs profiles of exhaled breath from ipsilateral and contralateral lungs and the VOCs profiles of exhaled breath and blood sample headspaces were also determined. Eighteen patients with non-small cell carcinoma were enrolled. Alveolar breath samples were taken separately from healthy and diseased lungs before and after the tumor resection. Solid phase microextraction-gas chromatography/mass spectrometry was used to assess the exhaled VOCs of the study participants. The VOCs exhibited significant differences between the contralateral and ipsilateral lungs before surgery, the contralateral and ipsilateral lungs after surgery, the ipsilateral lungs before and after surgery, and the blood samples from before and after surgery; 12, 19, 12 and 5 characteristic metabolites played decisive roles in sample classification, respectively. 2,2-Dimethyldecane, tetradecane, 2,2,4,6,6-pentamethylheptane, 2,3,4-trimethyldecane, nonane, 3,4,5,6-tetramethyloctane, and hexadecane may be generated from lipid peroxidation during surgery. Caprolactam and propanoic acid may be more promising exhaled breath biomarkers for lung cancer.
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Project description:Residential proximity to vegetation and plants is associated with many health benefits, including reduced risk of cardiovascular disease, diabetes and mental stress. Although the mechanisms by which proximity to greenness affects health remain unclear, plants have been shown to remove particulate air pollution. However, the association between residential-area vegetation and exposure to volatile organic chemicals (VOCs) has not been investigated. We recruited a cohort of 213 non-smoking individuals and estimated peak, cumulative, and contemporaneous greenery using satellite-derived normalized difference vegetation index (NDVI) near their residence. We found that the urinary metabolites of exposure to VOCs - acrolein, acrylamide, acrylonitrile, benzene, 1-bromopropane, propylene oxide were inversely associated (7-31% lower) with 0.1 higher peak NDVI values within 100 m radius of the participants' home. These associations were significant at radii ranging from 25 to 300 m. Strongest associations were observed within a 200 m radius, where VOC metabolites were 22% lower per 0.1 unit higher NDVI. Of the 18 measured urinary metabolites, 7 were positively associated with variation of greenness within a 200 m radius of homes. The percent of tree canopy and street trees around participants' residence were less strongly associated with metabolite levels. The associations between urinary VOC metabolites and residential NDVI values were stronger in winter than in summer, and in participants who were more educated, White, and those who lived close to areas of high traffic. These findings suggest high levels of residential greenness are associated with lower VOC exposure, particularly in winter.
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