Meta-analysis of the effect of low-level occupational benzene exposure on human peripheral blood leukocyte counts in China

Genomic and algorithm-based predictive risk assessment models for benzene exposure

Aim

In this research, we leveraged bioinformatics and machine learning to pinpoint key risk genes associated with occupational benzene exposure and to construct genomic and algorithm-based predictive risk assessment models.

Subject and methods

We sourced GSE9569 and GSE21862 microarray data from the Gene Expression Omnibus. Utilizing R software, we performed an initial screen for differentially expressed genes (DEGs), which was followed by the enrichment analyses to elucidate the affected functions and pathways. Subsequent steps included the application of three machine learning algorithms for key gene identification, and the validation of these genes within both a cohort exposed to benzene and a benzene-exposed mice model. We then conducted a functional prediction analysis on these genes using four machine learning models, complemented by GSVA enrichment analysis.

Results

Out of the data, 40 DEGs were identified, primarily linked to cytokine signaling, lipopolysaccharide response, and chemokine pathways. NFKB1, PHACTR1, PTGS2, and PTX3 were pinpointed as significant through machine learning. Validation confirmed substantial changes in NFKB1 and PTX3 following exposure, with PTX3 emerging as paramount, suggesting its utility as a diagnostic biomarker for benzene damage.

Conclusion

Risk assessment models, informed by oxidative stress markers, successfully discriminated between benzene-injured patients and controls.

The characteristics of chronic benzene poisoning in 176 Chinese occupational population cases

Benzene is a widespread environmental carcinogen known to induce leukemia. Chronic benzene poisoning is a significant occupational health issue in China, particularly among workers exposed to benzene. The aim of this study was to analyze the distribution patterns and trends of occupational benzene poisoning cases. This study included 176 cases who are diagnosed with occupational chronic benzene poisoning, via the Occupational Disease Direct Network Reporting System of the Sichuan Center for Disease Control and Prevention from 2005 to 2019. Data on gender, date of birth, years of benzene exposure, enterprise size, ownership type, industry were collected and descriptively analyzed. No significant differences were observed between males and females in terms of age or benzene exposure duration. The variation in gender distribution across 4 periods highlighted significant differences (χ 2 = 13.06, p = 0.004). Linear regression analysis indicated that the number of workers increased with year as the independent variable (r2  = 0.40, p = 0.016). The working duration of benzene exposure appeared to decline, but this trend was not statistically significant. The majority of employees were in medium and large-sized enterprises. Before 2016, workers were mainly in joint-stock enterprises and equipment manufacturing industries; however, from 2017 to 2019, benzene poisoning cases were increasingly found in private and light industries. Overall, this study may provide data resources for risk assessment among occupational benzene-exposed workers; therefore, the monitoring of benzene concentrations in the workplace should be strengthened, and targeted preventive measures for workers must be effectively implemented to protect their health.

LncRNA TUG1 regulates mir-34a-5p / SIRT6 to participate in benzene-induced hematotoxicity through PI3K / AKT /mTOR signaling pathway

LncRNA TUG1 plays pivotal roles in various diseases. However, its exact roles in benzene - induced hematotoxicity remain unclear. Herein, we aimed to investigate the role and mechanism of TUG1 in hematoxic injuries caused by benzene. In the current study, TUG1 was found dramatically decreased in WBCs of benzene exposure workers and negatively correlated with benzene exposure duration and urine SPMA. In vitro assays demonstrated that TUG1 overexpression attenuated 1,4-BQ-caused suppression of cell viability and proliferation, and promotion of ROS generation and apoptosis via PI3K/AKT/mTOR pathway. Bioinformatic prediction and molecular assay validated miR-34a-5p was negatively regulated by TUG1. The miR-34a-5p was upregulated in 1,4-BQ treated cells and downregulated in TUG1 overexpression cells. Moreover, miR-34a-5p upregulation partially reversed the protective effects of TUG1 overexpression on 1,4-BQ - caused cytotoxicity. Furthermore, SIRT6 was a downstream target gene of miR-34a-5p, whose expression was reduced in miR-34a-5p upregulation cells and elevated in TUG1 overexpression cells. Upregulated SIRT6 could counteract accelerated cytotoxicity mediated by miR-34a-5p upregulation after 1,4-BQ treatment. Taken together, our study revealed that the critical role of the TUG1/miR-34a-5p/SIRT6 axis in benzene-caused hematotoxicity, and provided scientific basis for further understanding the epigenetic regulatory mechanisms underlying benzene hematotoxicity.

Research on nonsteady-state adsorption and regulation towards stabler adsorption for benzene over single-wall carbon materials

With the intention of separating benzene (C6H6) from indoor polluted air and collecting it in a cleaner way, it is promising of getting C6H6 adsorbed on activated carbon materials with outstanding physicochemical properties. In this study, how C6H6 is adsorbed over single-wall carbon materials and relevant adsorption processes are enhanced is thoroughly investigated via density functional theory (DFT). Especially, distinction between partial and whole effects of adsorbents on C6H6 adsorption, features of electron distribution across section of adsorption forms, and regulation mechanism of nonsteady-state adsorption for C6H6 are key points. According to calculation results, C6H6 molecules could be captured by pure single-wall carbon nanotube (CNT) through repulsive forces (quantified as 103.42 kJ/mol) from all quarters, which makes it stay in nonsteady-state adsorption forms and easily run into free state. Therefore, when external temperature increases from 0 to 300 K, molecular movement will be intense enough to help C6H6 break into another random positions instead of statistically remaining immobile. As for this problem, single-wall CNTs are modified through making defects and replacing some C atoms with N atoms, respectively. In this way, surficial electron distribution of modified adsorbents is regulated to tremendously cut down repulsive forces (quantified as 50.30 kJ/mol) and reverse nonsteady-state adsorption into near-equilibrium quasi-steady-state adsorption (single-side attraction near 100 kJ/mol). Therefore, this research would provide useful information for exploiting single-wall carbon materials as effective adsorbents of C6H6 in order to quickly achieve indoor air purification.

Effects of Benzene: Hematological and Hypersensitivity Manifestations in Resident Living in Oil Refinery Areas

Literature is teeming with publications on industrial pollution. Over the decades, the main industrial pollutants and their effects on human health have been widely framed. Among the various compounds involved, benzene plays a leading role in the onset of specific diseases. Two systems are mainly affected by the adverse health effects of benzene exposure, both acute and chronic: the respiratory and hematopoietic systems. The most suitable population targets for a proper damage assessment on these systems are oil refinery workers and residents near refining plants. Our work fits into this area of interest with the aim of reviewing the most relevant cases published in the literature related to the impairment of the aforementioned systems following benzene exposure. We perform an initial debate between the two clinical branches that see a high epidemiological expression in this slice of the population examined: residents near petroleum refinery areas worldwide. In addition, the discussion expands on highlighting the main immunological implications of benzene exposure, finding a common pathophysiological denominator in inflammation, oxidative stress, and DNA damage, thus helping to set the basis for an increasingly detailed characterization aimed at identifying common molecular patterns between the two clinical fields discussed.