Mechanism of Interaction between hsa_circ_0002854 and MAPK1 Protein in PM2.5-Induced Apoptosis of Human Bronchial Epithelial Cells.

Fine particulate matter (PM2.5) pollution increases the risk of respiratory diseases and death, and apoptosis is an important factor in the occurrence of respiratory diseases caused by PM2.5 exposure. In addition, circular RNAs (circRNAs) can interact with proteins and widely participate in physiological and pathological processes in the body. The aim of this study was to investigate the mechanism of circRNA and protein interaction on PM2.5-induced apoptosis of human bronchial epithelial cells (16HBE) in vitro. In this study, we exposed human bronchial epithelial cells to a PM2.5 suspension with different concentration gradients for 24 h. The results showed that apoptosis of 16HBE cells after PM2.5 treatment was accompanied by cell proliferation. After exposure of PM2.5 to 16HBE cells, circRNAs related to apoptosis were abnormally expressed. We further found that the expression of hsa_circ_0002854 increased with the increase in exposure concentration. Functional analysis showed that knocking down the expression of hsa_circ_0002854 could inhibit apoptosis induced by PM2.5 exposure. We then found that hsa_circ_0002854 could interact with MAPK1 protein and inhibit MAPK1 phosphorylation, thus promoting apoptosis. Our results suggest that hsa_circ_0002854 can promote 16HBE apoptosis due to PM2.5 exposure, which may provide a gene therapy target and scientific basis for PM2.5-induced respiratory diseases.

Circulating exosome level of indigenous fish may be a novel biomarker for the integrated ecotoxicity effect of water environment.

The deficiency of effective biomarker for the toxic effects of water pollutants greatly limits the application of biological monitoring. This study aimed to investigate the possibility of circulating exosomes of indigenous fish acting as biomarker for the ecotoxicity effect of water environment. The Helong Reservoir in Guangzhou, China, was chosen as the investigating field, of which the water quality belongs to Class V (2013) (GB 3838-2002, China). The clean drinking water source of the upper reaches of the Liuxihe Reservoir was selected as the control. Indigenous fishes including Oreochromis niloticus (Nile tilapia), Labeo rohita (Rohu), Carassius auratus (Crucian carp) were sampled during the period from July 2020 to April 2021. Circulating exosomes of fish samples were isolated by using ultracentrifugation, characterized with transmission electron microscopy (TEM) and quantified by using bicinchoninic acid (BCA) assay. Oxidative stress, DNA and chromosome damage in liver, kidney, brain, gill and blood of fish samples were measured. The results showed that there were significant differences in superoxide dismutase (SOD) activity, glutathione (GSH) and malondialdehyde (MDA) contents, DNA and chromosome damage in fish samples between the Helong Reservoir and the control. Interestingly, there were also significant differences in circulating exosome levels of fish samples between them. Our data suggested that circulating exosome level of indigenous fish may be a novel biomarker for the ecotoxicity effects of water environment.

lncRNA AABR07005593.1 potentiates PM2.5-induced interleukin-6 expression by targeting MCCC1.

BACKGROUND: Fine particle pollution, specifically pollution by fine particulate matter (PM2.5), remains a significant concern in developing countries and plays an important role in the development and progression of respiratory diseases. Increasing evidences have demonstrated that long non-coding RNAs (lncRNAs) may act as vital molecules by binding to specific RNA-binding protein (RBP); however, their relationship with PM2.5 pollution is largely unexplored. OBJECTIVE: We investigated the association between lncRNA and respiratory system inflammation caused by PM2.5. METHODS: PM2.5 components were detected by gas chromatography-mass spectrometry (GC-MS), inductively coupled plasma-mass spectrometry (ICP-MS), and ionic chromatography. We established an inflammation model of PM2.5-induced toxicity in vivo (male and female SD rats, 0, 25, 50 and 100 mg/k PM2.5, 1, 7 and 14 days, single non-invasive tracheal instillation) and in vitro (rat alveolar macrophage cell line (NR8383), 0, 50, 100, 200, 400 µM PM2.5 for 24, 48, and 72 h). lncRNA high-throughput sequencing (lncRNA-seq) was used to investigate lncRNA profiles in PM2.5-treated NR8383 cells, and RNA interference (RNAi) was applied to explore the function of the target lncRNA. The mechanisms associated with specific lncRNAs were explored using comprehensive identification of RNA-binding proteins by mass spectrometry (ChIRP-MS) and western blot. RESULTS: PM2.5-treated NR8383 cells and SD rats exhibited respiratory inflammation. lncRNA AABR07005593.1 was a pro-inflammatory factor that regulated IL-6 levels. Mechanistically, ChIRP-MS and western blot analyses revealed that highly expressed lncRNA AABR07005593.1 interacted with MCCC1 to involve in the activation of NF-κB pathway, and ultimately promoted the expression of IL-6. CONCLUSION: This study demonstrated that PM2.5 induced inflammation in vivo and in vitro. Furthermore, lncRNA AABR07005593.1 bound to MCCC1 to potentiated IL-6 expression. Therefore, lncRNA AABR07005593.1 may act as a potential biomarker for PM2.5 inflammation.

Indigenous Fish-Based Assessment of Genotoxic Potentials of the Helong Reservoir in Guangzhou, China.

The present study was conducted to assess the genotoxic potential of water from the Helong Reservoir, which was designated as a strategic drinking water source by the Guangdong Provincial Government of China in October 2016. Four kinds of common indigenous fish samples (Labeo rohita, Cirrhinus molitorella, red tilapia, and Oreochromis niloticus) were collected at 6 sampling sites during the period from July to November 2020. Fish from the clean drinking water source of the upper reaches of the Liuxihe Reservoir in Guangzhou were collected as the control. Both the alkaline single cell gel electrophoresis assay and the micronucleus test were used to detect DNA damage and the micronucleus rate in erythrocytes of fish samples, respectively. The results indicated that there was a significant increase in comet tail length, Olive tail moment, and micronucleus rates of all fish samples compared with those of the control (p < 0.05). The order of sensitivity to DNA damage and micronucleus formation was Labeo rohita > Cirrhinus molitorella > red tilapia > Oreochromis niloticus. The results of the 2 kinds of experiments were in perfect agreement with each other. We conclude that there are obvious genotoxic effects from the water in the Helong Reservoir. As a strategic drinking water source, the safety of the Reservoir water quality should be considered. The local government should put the restoration of the Helong Reservoir water quality on the agenda as soon as possible. Environ Toxicol Chem 2021;40:1919-1927. © 2021 SETAC.

EDTA-functionalized magnetic chitosan oligosaccharide and carboxymethyl cellulose nanocomposite: Synthesis, characterization, and Pb(II) adsorption performance.

A novel ethylenediaminetetraacetic acid (EDTA)-functionalized magnetic chitosan oligosaccharide and carboxymethyl cellulose (Fe3O4@CMCCOS-EDTA) nanocomposite adsorbent was successfully fabricated for Pb(II) adsorption. The adsorbent was characterized by Fourier transform infrared, and X-ray photoelectron spectroscopy was used to confirm successful EDTA modification and Pb(II) adsorption. Scanning electron microscopy, transmission electron microscopy, vibrating sample magnetometer, and thermogravimetric analysis were used to study the morphology and properties of magnetic particles. EDTA modification considerably improved the capacity of the adsorbent. The batch adsorption experiment results indicated that the pseudo-second-order (PSO) model and the Langmuir isotherm model reliably described the adsorption behavior. The maximum adsorption capacity (qm) for monolayer chemical adsorption was calculated to be 432.34 mg/g at the pH of 5 and temperature of 308 K. Notably, Fe3O4@CMCCOS-EDTA exhibited a high Pb(II) removal rate of ~100% using an initial metal ion solution of 100 mg/L and 200 mg/L.

Lithium recovery from effluent of spent lithium battery recycling process using solvent extraction.

A novel process of lithium recovery from effluent of spent lithium batteries recycling by solvent extraction was proposed. The ß-diketone extraction system used in the experiment was composed of benzoyltrifluoroacetone (HBTA), trioctylphosphine oxide (TOPO) and kerosene. The effective parameters such as solution pH value, saponification degree, initial lithium concentration and phase ratio were evaluated by experiments. More than 90% of lithium could be extracted by saponified organic phase through three-stage countercurrent extraction. The loaded organic phase was first eluted by dilute HCl solution to remove nontarget sodium, and then stripped by 6 mol/L HCl at a large phase ratio to obtain lithium-rich solution with 4.322 mol/L lithium. The lithium-rich solution from the process could be used to prepare lithium carbonate or lithium chloride. The stripped organic phase can be recycled and no crud or emulsification was observed during the process. The extraction mechanism of HBTA-TOPO was investigated via FT-IR spectroscopy, and the results indicated the two extractants showed strong synergistic effect. The thermodynamic study revealed lithium extraction is an exothermic process, which meant lower temperature promotes extraction of lithium. This work provided a novel approach to recover lithium from effluent of spent lithium battery recycling.

Assessment of kitchen emissions using a backpropagation neural network model based on urinary hydroxy polycyclic aromatic hydrocarbons.

Kitchen emissions are mixed indoor air pollutants with adverse health effects, but the large-scale assessment is limited by costly equipment and survey methods. This study aimed to discuss the application of backpropagation (BP) neural network models in the assessment of kitchen emissions based on the exposure marker. A total of 3686 participants were recruited for the kitchen survey, and their sleep quality was measured by the Pittsburgh sleep quality index (PSQI). After excluding the confounders, 365 participants were selected to assess their urinary hydroxy polycyclic aromatic hydrocarbons (OH-PAHs) concentrations by ultra-high-performance liquid chromatography/tandem mass spectrometry. Two BP neural network models were then set up using the survey and detection data from the 365 participants and used to predict the total urinary OH-PAHs concentrations of all participants. The total urinary OH-PAHs and 1-hydroxy-naphthalene (1-OHNap) concentrations were significantly higher among the 365 participants with poor sleep quality (global PSQI score > 5; P < 0.05). Results from internal and external validation showed that our model has high credibility (model 2). Further, the participants with higher predicted total urinary OH-PAHs concentrations were associated with the global PSQI score of >5 (odds ratio (OR) = 1.284, 95% confidence interval (CI) = 1.082-1.525 for participants with predicted total urinary OH-PAHs concentrations of over 1.897 µg/mmol creatinine in model 1, and OR = 1.467, 95% CI = 1.240-1.735 for participants with predicted total urinary OH-PAHs concentrations of over 2.253 µg/mmol creatinine in model 2) after adjusting for the confounders. Findings suggest that the BP neural network model is suitable for assessing kitchen emissions, and the urinary OH-PAHs concentrations can be taken as the model outlay.

PM2.5-inducible long non-coding RNA (NONHSAT247851.1) is a positive regulator of inflammation through its interaction with raf-1 in HUVECs.

Several studies have demonstrated that PM2.5 inhalation is associated with an increased risk of cerebrovascular disease (CVD), in which inflammation plays an important role. The mechanisms of this disease are not fully understood to date. Long non-coding RNAs (lncRNAs) are involved in many pathophysiological processes, such as immune responses; however, their functions associated with inflammation are largely unexplored. High-throughput sequencing assay and obtained numerous lncRNAs that altered the expression in response to PM2.5 treatment in HUVECs. NONHSAT247851.1 was also identified, which was significantly up-regulated to control the expression of immune response genes. Mechanistically, the results indicated that NONHSAT247851.1 knockdown reduced the expression of IL1ß. In study, we investigated NONHSAT247851.1 as a promoter in regulating immune response genes via binding with raf-1 to regulate the phosphorylation level of p65 protein in HUVECs. The data collected suggests that NONHSAT247851.1 regulates inflammation via interaction with raf-1 to control the inflammatory expression in PM2.5 exposure.

LncRNA LOC101927514 regulates PM2.5-driven inflammation in human bronchial epithelial cells through binding p-STAT3 protein.

Long-term exposure to fine particulate matter (PM2.5) may cause or exacerbate many diseases, including respiratory inflammation. However, the full mechanism is not yet fully understood. The newly discovered long chain non-coding RNA, though unable to encode proteins, regulates multiple life activities and participates in the development of inflammation. In this study, we set up a cell inflammation model by using normal bronchial 16HBE cells exposed to PM2.5. High-throughput sequencing, as well as real-time fluorescent quantitative PCR detection and validation, was performed on the inflamed cells to evaluate the expression level of long chain noncoding RNA that helped us to identify the LncRNA LOC101927514. Inhibiting LncRNA LOC101927514 expression by RNAi, reflected in a reduction in inflammation, is driven by PM2.5. In addition, we identify LncRNA LOC101927514 to be located within the nucleus and binds to STAT3, altering the inflammatory state of the cells and IL6 and IL8 release. This study identifies that LncRNA LOC101927514 is a new potential target for future treatment of the inflammatory response activated by PM2.5 in the respiratory system.

Adsorption of Pb(II) from aqueous solution by polyacrylic acid grafted magnetic chitosan nanocomposite.

A creative combination of chitosan with polyacrylic acid (PAA) improves the acidity resistance of chitosan and increases its potential in the field of adsorption. In order to facilitate recovery, magnetic nanoparticles were incorporated in CS-PAA to obtain a magnetic-CS-PAA (MCS-PAA) nanocomposite. The physical and chemical characteristics of the composite adsorbent MCS-PAA were determined by SEM, TEM, FTIR, EDX, XRD, and XPS. This environmental-friendly, magnetic, composite adsorbent showed significantly better adsorption performance than those of the individual adsorbents alone. The maximal adsorption capacity was 204.89 mg/g according to the Langmuir isotherm model, when the concentration of Pb(II) was 100 mg/L at the equilibrium time of 70 min. The main adsorption mechanism was the complexation between the carboxyl, amino, and hydroxyl groups in MCS-PAA and Pb(II). Further, introduction of PAA also improved the acid resistance of CS. The new adsorbent MCS-PAA is thus expected to facilitate a wider range of applications for chitosan in the adsorption of Pb(II).

Hypoxic storage of erythrocytes slows down storage lesions and prolongs shelf-life.

Conventional storage conditions of erythrocytes cause storage lesions. We propose that hypoxic storage conditions, involving removal of oxygen and replacement with helium, the changes in stored erythrocytes under hypoxic condition were observed and assessed. Erythrocytes were divided into two equal parts, then stored in conventional and hypoxic conditions, separately. Blood gas analysis, hemorheology, and hemolysis were performed once a week. Energy metabolism and membrane damage were monitored by enzyme-linked immunosorbent assay. Phosphatidylserine exposure was measured by flow cytometry. P50 was measured and the oxygen dissociation curve (ODC) plotted accordingly. Erythrocyte morphology was observed microscopically. In the 9th week of storage, the hemolysis of the hypoxia group was 0.7%; lower (p < .05) than that of the control group and still below the threshold of quality requirements. The dissolved oxygen and pO2 were only 1/4 of that in the control group (p < .01); the adenosine triphosphate, glucose, and lactic acid levels were decreased (p < .05), while the 2,3-diphosphoglycerate levels were increased relative to that in the control group (p < .01). There were no statistically significant differences in membrane damage, deformability, and aggregation between the two groups. In addition, the ODC of the two groups was shifted to the left but this difference was not statistically different. Basically similar to the effect of completely anaerobic conditions. Erythrocytes stored under hypoxic conditions could maintain a relatively stable state with a significant decrease in hemolysis, reduction of storage lesions, and an increase in shelf-life.

Induction of Inflammatory Responses in Human Bronchial Epithelial Cells by Pb2+-Containing Model PM2.5 Particles via Downregulation of a Novel Long Noncoding RNA lnc-PCK1-2:1.

Airborne particular matter (PM2.5) contains complex mixtures of pollutants, and their compositions also vary with time and location. Inhalation of PM2.5 may cause a number of diseases, such as bronchial and lung inflammation and lung cancer. So far, how different components of PM2.5 contribute to inflammation and toxicity is still not known. To identify key PM2.5 components that are responsible for inflammation, here we took a reductionism approach and synthesized a model PM2.5 library containing 20 carbon nanoparticle based members with loadings of As(III), Pb2+, Cr(VI), and BaP individually or in combination at environment relevant concentrations. We discovered that only carbon nanoparticle-Pb2+ adducts, not other pollutants or adducts, induced inflammation in human bronchial cells by suppressing the expression of a novel long noncoding RNA lnc-PCK1-2:1, while lnc-PCK1-2:1 routinely plays a regulatory role in inhibiting inflammation. This finding was further substantiated by varying Pb2+ loadings on carbon nanoparticles and overexpressing lnc-PCK1-2:1. The success of this approach opens an avenue for further elucidation of molecular mechanisms of PM2.5-induced inflammation and toxicity.

Cr(VI)/Pb2+ are responsible for PM2.5-induced cytotoxicity in A549 cells while pulmonary surfactant alleviates such toxicity.

The composition of PM2.5 is extremely complicated, making the causes of PM2.5-induced toxicity hard to understand. To identify the major toxic components of PM2.5 particles, we used reductionism approach, synthesized and investigated a model PM2.5 library containing 24 carbon nanoparticles with adsorbed pollutants including Cr(VI), Pb2+, As(III) and BaP either individually or in combinations. Our data showed that major physicochemical characteristics of model PM2.5 library members were similar to PM2.5 particles from Guangzhou city (PM2.5-GZ). Cytotoxicity of lung cells (A549) was increasing as the member of adsorbed pollutants at environment relevant concentrations. Using these model particles, we identified that co-existence of Cr(VI) and Pb2+ components contributed to the PM2.5-induced cytotoxicity in A549 cells. Besides, pulmonary surfactant reduced the PM2.5-induced cytotoxicity in A549 cells probably via enhancing cell autophagy. The findings from this study suggest that systematic investigation using model PM2.5 particle library helps identify key toxic pollutants in otherwise very complex PM2.5 particles and facilitate our understanding of the underlying biological mechanisms.

Multiple-life-stage probabilistic risk assessment for the exposure of Chinese population to PBDEs and risk managements.

Studies assessing body burden of polybrominated diphenyl ethers (PBDEs) exposure have been conducted in the United States and Europe. However, the long-term assessment that is associated with multimedia exposure of PBDEs for the Chinese population is not available. The current study estimated the health risks using large PBDEs data to quantify the contributions of various media from different regions and distinguished the most vulnerable periods in life. We summarized media-specific (soil, dust, outdoor and indoor air, human milk and food) concentration of PBDEs in China from 2005 to 2016. Probabilistic risk assessment was adopted to estimate the health risks of infants, toddlers, children, teenagers and adults through ingestion, inhalation and dermal absorption. Monte Carlo simulation and sensitivity analysis were performed to quantify risk estimates uncertainties. E-waste areas had the highest PBDEs concentration, which was at least an order of magnitude higher than in other areas. BDE209 was the primary congener, accounting for 38-99% of the estimated daily intake. The dominant exposure pathway for infants was dietary intake through human milk, whereas dust ingestion was a higher contributing factor for toddlers, children, teenagers and adults. The 95th percentile of hazard index for infants and toddlers from e-waste areas of Guangdong and Zhejiang provinces exceeded one. Our estimates also suggested that infants may have the highest body burdens of PBDEs compared to other age groups. Sensitivity analyses indicated that PBDEs concentrations and ingestion rates contributed to major variances in the risk model. In this study, e-waste was found as a significant source of PBDEs, and PBDEs-containing e-waste are likely to be a threat to human health especially during early period of life. Risk strategies for better managing environmental PBDEs-exposure and human health are needed, due to the high intake of PBDEs and their persistence in the environment.

Ultrafine particle libraries for exploring mechanisms of PM2.5-induced toxicity in human cells.

Air pollution worldwide, especially in China and India, has caused serious health issues. Because PM2.5 particles consist of solid particles of diverse properties with payloads of inorganic, organic and biological pollutants, it is still not known what the major toxic components are and how these components induce toxicities. To explore this complex issue, we apply reductionism principle and an ultrafine particle library approach in this work. From investigation of 63 diversely functionalized ultrafine particles (FUPs) with adsorbed key pollutants, our findings indicate that 1) only certain pollutants in the payloads of PM2.5 are responsible for causing cellular oxidative stress, cell apoptosis, and cytotoxicity while the particle carriers are much less toxic; 2) pollutant-induced cellular oxidative stress and oxidative stress-triggered apoptosis are identified as one of the dominant mechanisms for PM2.5-induced cytotoxicity; 3) each specific toxic component on PM2.5 (such as As, Pb, Cr or BaP) mainly affects its specific target organ(s) and, adding together, these pollutants may cause synergistic or just additive effects. Our findings demonstrate that reductionism concept and model PM2.5 particle library approach are very effective in our endeavor to search for a better understanding of PM2.5-induced health effects.

Association of active/passive smoking and urinary 1-hydroxypyrene with poor sleep quality: A cross-sectional survey among Chinese male enterprise workers.

INTRODUCTION: Tobacco use has been implicated as an important factor for poor sleep quality. However, in most studies, the sleep quality of smokers was only assessed though a self-reported questionnaire, without measuring any internal biomarkers that reflect the levels of tobacco exposure. We examined the association of active and passive smoking with sleep quality, assessed smoking exposure using urinary 1-hydroxypyrene (1-HOP) as an internal biomarker, and further explored the relationship between 1-HOP and sleep quality. METHODS: A cross-sectional survey was conducted in Liuzhou city, Guangxi, China. A total of 1787 male enterprise workers were enrolled. The smoking attribute data were collected by self-reported questionnaire, and individual sleep quality was evaluated through the Pittsburgh Sleep Quality Index (PSQI). The concentration of urinary 1-HOP was measured by high-performance liquid chromatography. RESULTS: Compared with non-smoking, active smoking and passive smoking were significantly associated with long sleep latency (odds ratio, OR=1.84, 95% confidence interval, CI=1.28-2.64; 1.45, 1.00-2.11, respectively), short sleep duration (OR=2.72, 95% CI=1.45-5.09; 1.94, 1.01-3.71, respectively), daytime dysfunction (OR=1.54, 95% CI=1.10-2.17; 1.44, 1.02-2.03, respectively), and overall poor sleep quality with PSQI total score >5 (OR=1.41, 95% CI=1.05-1.88; 1.34, 1.00-1.79, respectively). Compared with non-smokers, active smokers had higher urinary 1-OHP concentrations that were significant (p=0.004), while passive smokers had no significant difference in urinary 1-OHP concentration (p=0.344). The high concentration group was significantly associated with daytime dysfunction and overall poor sleep quality with PSQI total score >5 (OR = 1.73, 95% CI=1.06-2.81; 1.76, 1.18-2.63, respectively). CONCLUSIONS: Both active smoking and passive smoking are risk factors for poor sleep quality among Chinese male enterprise workers. Active smokers had significantly higher levels of urinary 1-OHP than non-smokers, and high concentration of 1-OHP was associated with daytime dysfunction and overall poor sleep quality.

Relationship between shift work schedule and self-reported sleep quality in Chinese employees.

Few studies have reported on the effects of fixed and rotating shift systems on the prevalence of sleep disturbance. Thus, in this study, the relationships between different work schedules and sleep disturbance in Chinese workers were investigated. A total of 2180 workers aged 19-65 years responded to the self-report questionnaire on shift work schedule (fixed day-shift, fixed night-shift, two-shift or three-shift system), working hours a day, and working days a week, physical effort, subjective sleep quality and subjective mental state. It was found that the rotating shift workers, namely, two- and three-shift workers, exhibited higher risks of sleep disturbance than with the fixed day-shift workers did (OR 1.37; 95% CI 1.07to 1.74; and OR 2.19; 95% CI 1.52 to 3.15, respectively). The risk was particularly high among two- or three-shift workers who worked more than 8 hours a day or more than 5 days a week and among three-shift workers who reported both light and heavy physical effort at work. Moreover, the two- and three-shift workers (rotating shift workers) suffered from poorer sleep quality than the fixed night shift workers did (OR 1.84; 95% CI 1.01 to 3.32; and OR 2.94; 95% CI 1.53 to 5.64, respectively). Consequently, rotating shift work (two- and three-shift work) is a risk factor for sleep disturbance, and the fixed work rhythm may contribute to the quality of sleep.

LncRNA LINC00341 mediates PM2.5-induced cell cycle arrest in human bronchial epithelial cells.

Fine particulate matter (PM2.5) could adhere to many toxic substances and cause respiratory diseases.However, the associated pathogenic mechanism remains unclear. In this study, we investigated the effects of PM2.5 on cell cycle progression in human bronchial epithelial cells (16HBE) and the underlying mechanism mediated by lncRNAs. PM2.5 treatment inhibited cell proliferation in 16HBE cells in a dose-dependent manner. The results of flow cytometry assay (FCM) showed that PM2.5 induced cell apoptosis and cell cycle arrest at G2/M phase. The lncRNA microarray analysis indicated that treatment with PM2.5 led to the alteration of lncRNA expression profiles. qRT-PCR were performed to confirm the differential expression of several candidate lncRNAs. lncRNA LINC00341 was significantly up-regulated in 16HBE cell after PM2.5 treatment. Further functional studies showed that knockdown of lncRNA LINC00341 reversed PM2.5-induced G2/M phase cell cycle arrest and p21 expression. These results suggest that up-regulation of the lncRNA LINC00341 mediates PM2.5-induced cell cycle arrest at the G2/M phase, and probably through regulating the expression of p21.

Oxidative Stress and Genotoxicity of Long-Term Occupational Exposure to Low Levels of BTEX in Gas Station Workers.

Atmospheric benzene, toluene, ethylbenzene, and xylenes (BTEX) can lead to multiple health injuries. However, what remains uncertain is the effect of long-term exposure to low levels of BTEX. Thus, we determined the BTEX levels in the air from the refueling and office areas in gas stations. Then we collected workers' (200 refueling vs. 52 office workers) peripheral blood samples to analyze the serum total-superoxide dismutase (T-SOD), glutathione (GSH), malondialdehyde (MDA), and 8-hydroxydeoxyguanosine (8-OHdG) levels. DNA damage was analyzed by the comet assay and micronucleus test in buccal epithelial cells. We found that the levels of BTEX in refueling areas were significantly higher than those in office areas (p < 0.001). The serum T-SOD and GSH of refueling workers were significantly lower than those in office workers (p < 0.001). By contrast, the serum MDA and 8-OHdG of refueling workers were significantly higher than those of office workers (p < 0.001, MDA; p = 0.025, 8-OHdG). Furthermore, tail and Olive tail moments in refueling workers were longer (p = 0.004, tail moment; p = 0.001, Olive tail moment), and the micronucleus rate was higher (p < 0.001) than those in office workers. Taken together, long-term exposure to low levels of BTEX may reduce the antioxidant ability and increase the risk of DNA damage in refueling workers of gas stations.

Relationship between Methyl Tertiary Butyl Ether Exposure and Non-Alcoholic Fatty Liver Disease: A Cross-Sectional Study among Petrol Station Attendants in Southern China.

Methyl tertiary butyl ether (MTBE)-A well known gasoline additive substituting for lead alkyls-causes lipid disorders and liver dysfunctions in animal models. However, whether MTBE exposure is a risk factor for non-alcoholic fatty liver disease (NAFLD) remains uncertain. We evaluate the possible relationship between MTBE exposure and the prevalence of NAFLD among 71 petrol station attendants in southern China. The personal exposure concentrations of MTBE were analyzed by Head Space Solid Phase Microextraction GC/MS. NAFLD was diagnosed by using abdominal ultrasonography according to the guidelines for the diagnosis and treatment of NAFLD suggested by the Chinese Hepatology Association. Demographic and clinical characteristics potentially associated with NAFLD were investigated. Mutivariate logistic regression analysis was applied to measure odds ratios and 95% confidence intervals (CI). The result showed that the total prevalence of NAFLD was 15.49% (11/71) among the study subjects. The average exposure concentrations of MTBE were 292.98 ± 154.90 µg/m³ and 286.64 ± 122.28 µg/m³ in NAFLD and non-NAFLD groups, respectively, and there was no statistically significant difference between them (p > 0.05). After adjusting for age, gender, physical exercise, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), alanine aminotransferase (ALT), white blood cell (WBC), total cholesterol (TC), triglycerides (TG), low-density lipoprotein (LDL), and high-density lipoprotein (HDL), the odds ratios were 1.31 (95% CI: 0.85-1.54; p > 0.05), 1.14 (95% CI: 0.81-1.32; p > 0.05), 1.52 (95% CI: 0.93-1.61; p > 0.05) in the groups (including men and women) with exposure concentrations of MTBE of 100-200 µg/m³, 200-300 µg/m³, and ≥300 µg/m³, respectively, as compared to the group (including men and women) ≤100 µg/m³. Our investigation indicates that exposure to MTBE does not seem to be a significant risk factor for the prevalence of NAFLD among petrol station attendants in southern China.