Air pollution: A culprit of lung cancer

Fully-biodegradable and self-powered intelligent filter assembled by fibrous cellulose and MOF-functionalized poly(lactic acid) core-shell nanofibers for active PM capturing and passive respiratory sensing

With the increasing demand for ecofriendly air filtration materials, poly(lactic acid) (PLA) nanofibrous membranes (NFMs) show significant potential for efficient air purification while evading plastic pollution. However, there is still an urgent need to solve the issues of intrinsically low electroactivity and poor electret performance for PLA. Here, we prepared MOF-functionalized core-shell beaded PLA (MCSB-PLA) gradient nanofibers at fibrous cellulose, featuring a PLA/MOF-5 composite shell layer by coaxial electrospinning. Under the action of high-voltage electric field, MOF-5 nanocrystals were ready to interact with PLA chains, prompting the generation of highly refined and electroactive nanofibers. The MCSB-PLA NFMs were characterized by ultrafine fibers (diameter decrease of 23.5 %) and MOF-triggered bead-on-string microstructures. Meanwhile, both the surface potential and dielectric constant were largely elevated for MCSB-PLA NFMs (up to 5.2 kV and 1.86, respectively), accompanied by excellent tribo-output performance (236.8 % and 161.9 % increase in output voltage and current, respectively). Given the increased electroactivity, MCSB-PLA NFMs showed high-efficiency PM0.3 filtration (93.4 %, 106 Pa, at 32 L/min), representing an increase of 12.26 % compared to pure PLA counterpart (only 83.2 %). Even under high-humidity conditions, 91.3 % removal of PM0.3 was realized by MCSB-PLA (at 90 %RH and 32 L/min). Furthermore, the self-powered mechanisms were integrated with MCSB-PLA/cellulose, permitting real-time monitoring of physiological signals. The proposed degradable and highly electroactive MCSB-PLA NFMs is highly promising for air purification and passive healthcare.

PM2.5 affected ciliary beat frequency of axonemes via the cyclic AMP-dependent protein kinase a pathway

Long-term inhalation of fine particulate matter (PM2.5) has been linked to the onset of various lung diseases. The mucociliary clearance system, acts as the primary host defense mechanism in the airways, with ciliary beat frequency (CBF) being a key parameter for assessing its functionality. The primary aim of this study was to demonstrate the impact of PM2.5 on CBF and to investigate the potential mechanisms by which PM2.5 induced changes in CBF through airway axonemes. Airway axonemes were extracted from bovine ciliated epithelium and treated with different concentrations of PM2.5 in vitro for 10 min and 1 h to simulate short-term and prolonged exposures. Additionally, the pathway was examined using PKA activator (cAMP) and PKA inhibitor (PKI) on ciliary axonemes. The results revealed that PM2.5 stimulated CBF in airway axonemes via the cAMP-PKA pathway. Low concentrations and short-term exposure to PM2.5 stimulated CBF elevation, however, high concentration and prolonged exposure to PM2.5 might damage respiratory cilia, thereby increasing the risk of respiratory diseases.

Computational insights into exploring the potential effects of environmental contaminants on human health

With rapid industrialization and urbanization, the increasing prevalence of air and water pollutants poses a significant threat to public health. Traditional research methods, such as epidemiological studies and in vitro/in vivo experiments, provide valuable biological insights but are often costly, time-consuming, and limited in scale. To address this gap, this study develops a machine learning-based approach to predict the carcinogenicity of pollutants. Using the dataset of carcinogenic and non-carcinogenic molecules that we collected, the pretrained KPGT model trained with molecular fingerprints and descriptors achieved an AUC of 0.83, surpassing traditional machine learning models. To validate this model, common pollutants from air and water sources were analyzed. Further clustering classified these pollutants into five distinct groups. Target prediction analysis identified key genes associated with representative pollutant molecules, such as MAPK1, MTOR, and PTPN11. GO and KEGG pathway analyses, along with survival analysis, revealed potential carcinogenic mechanisms and prognostic implications. Our findings contribute to improved pollution risk assessment and evidence-based environmental policy development, ultimately aiding in the mitigation of pollutant-related health risks.

Particulate matter air pollution as a cause of lung cancer: epidemiological and experimental evidence

Air pollution has a significant global impact on human health. Epidemiological evidence strongly suggests that airborne particulate matter (PM), the dust components of polluted air, is associated with increased incidence and mortality of lung cancer. PM2.5 (PM less than 2.5 µm) from various sources carries different toxic substances, such as sulfates, organic compounds, polycyclic aromatic hydrocarbons, and heavy metals, which are considered major carcinogens that increase lung cancer risk. The incidence and mortality of lung cancer caused by PM2.5 exposure may be due to significant geographical differences, and can be influenced by various factors, including local sources of air pollution, socioeconomic conditions, and public health measures. This review aims to provide comprehensive insights into the health implications of air pollution and to inform strategies for lung cancer prevention, by summarising the relationship between exposure to PM2.5 and lung cancer development. We explore the different sources of PM2.5 and relevant carcinogenic mechanisms in the context of epidemiological studies on the development of lung cancer from various geographical regions worldwide.

Explainable no-code OECD-compliant machine learning models to predict the mutagenic activity of polycyclic aromatic hydrocarbons and their radical cation metabolites

Polycyclic aromatic hydrocarbons (PAHs) are persistent pollutants with well-known genotoxic and mutagenic effects, posing risks to ecosystems and human health. Their hydrophobic nature promotes accumulation in soils and aquatic environments, increasing exposure risks. Upon metabolic activation, PAHs generate reactive species that form DNA adducts, driving their mutagenic potential. This study presents an OECD-compliant methodology that integrates conceptual density functional theory (CDFT) calculations at the GFN2-xTB level with machine learning models to predict PAH mutagenicity. Using quantum chemical descriptors of procarcinogens and radical cation metabolites alongside Ames test data, key electronic properties linked to mutagenicity were identified. Feature selection consistently highlighted radical cation descriptors as key indicators of metabolic activation pathways. Machine learning models - including SPAARC, Random Tree, and JCHAID - achieved validation accuracies exceeding 89 %, with minimal false-negative rates, ensuring conservative predictions for environmental risk assessment. The PSL and CDP electrophilicity frameworks proved particularly effective in modeling DNA damage-related processes. This no-code, freeware-based methodology provides a scalable and cost-effective tool for assessing mutagenic risks in environmentally relevant conditions. The findings reinforce the importance of metabolic activation, validate the radical cation as a reliable proxy for this process, and demonstrate the predictive value of electronic properties in QSAR modeling. These insights support advances in environmental toxicology and contribute to improved strategies for regulatory risk assessment.

Association of metabolic signatures of air pollution with MASLD: Observational and Mendelian randomization study

BACKGROUND & AIMS

Air pollution is a significant public health issue and an important risk factor for metabolic dysfunction-associated steatotic liver disease (MASLD), though the underlying mechanisms of this association are unknown. Herein, we aimed to identify metabolic signatures associated with exposure to ambient air pollution and to explore their associations with the risk of MASLD.

METHODS

We utilized data from the UK Biobank cohort. Annual mean concentrations of PM2.5, PM10, NO2 and NOx were assessed for each participant using bilinear interpolation. The elastic net regression model was used to identify metabolites associated with four air pollutants and to construct metabolic signatures. Associations between air pollutants, metabolic signatures and MASLD were analyzed using Cox models. Mendelian randomization (MR) analysis was used to examine potential causality. Mediation analysis was employed to examine the role of metabolic signatures in the association between air pollutants and MASLD.

RESULTS

A total of 244,842 participants from the UK Biobank were included in this analysis. We identified 87, 65, 76, and 71 metabolites as metabolic signatures of PM2.5, PM10, NO2, and NOx, respectively. Metabolic signatures were associated with risk of MASLD, with hazard ratios (HRs) and 95% CIs of 1.10 (1.06-1.14), 1.06 (1.02-1.10), 1.24 (1.20-1.29) and 1.14 (1.10-1.19), respectively. The four pollutants were associated with increased risk of MASLD, with HRs (95% CIs) of 1.03 (1.01-1.05), 1.02 (1.01-1.04), 1.01 (1.01-1.02) and 1.01 (1.00-1.01), respectively. MR analysis indicated an association between PM2.5, NO2 and NOx-related metabolic signatures and MASLD. Metabolic signatures mediated the association of PM2.5, PM10, NO2 and NOx with MASLD.

CONCLUSION

PM2.5, PM10, NO2 and NOx-related metabolic signatures appear to be associated with MASLD. These signatures mediated the increased risk of MASLD associated with PM2.5, PM10, NO2 and NOx.

IMPACT AND IMPLICATIONS

Air pollution is a significant public health issue and an important risk factor for metabolic dysfunction-associated steatotic liver disease (MASLD), however, the mechanism by which air pollution affects MASLD remains unclear. Our study used integrated serological metabolic data of 251 metabolites from a large-scale cohort study to demonstrate that metabolic signatures play a crucial role in the elevated risk of MASLD caused by air pollution. These results are relevant to patients and policymakers because they suggest that air pollution-related metabolic signatures are not only potentially associated with MASLD but also involved in mediating the process by which PM2.5, PM10, NO2, and NOx increase the risk of MASLD. Focusing on changes in air pollution-related metabolic signatures may offer a new perspective for preventing air pollution-induced MASLD and serve as protective measures to address this emerging public health challenge.

Impact of air pollution on the progress-free survival of non-small cell lung cancer patients with anti-PD-1/PD-L1 immunotherapy: A cohort study

Air pollution is a well-established risk factor for lung cancer, but limited evidence exists on its impact on the treatment of lung cancer. The objective of this study was to investigate the impact of key pollutants on the efficacy of PD-1/PD-L1 inhibitor immunotherapy in non-small cell lung cancer (NSCLC) patients, thereby providing clinicians with evidence to potentially enhance the efficacy of PD-1 therapy and inform policy decisions for cancer care. To this end, we conducted a study involving 361 NSCLC patients who received PD-1/PD-L1 inhibitor immunotherapy, examining the correlation between air pollution exposure and progression-free survival (PFS) following immunotherapy treatment. Their moving-average ambient levels up to 1 year of PM2.5 and its constituents (organic matter (OM), black carbon (BC), nitrate (NO3-), sulfate (SO42-), and ammonium (NH4+)), as well as ozone (O3) were estimated using the Tracking Air Pollution in China dataset. Cox proportional hazards models were adopted to estimate the effects of exposure to each pollutant on PFS risk for NSCLC. 179 patients obtained the progression of NSCLC. While PM2.5 exposure prior to the immunotherapy was not associated with NSCLC progression, long-term exposure to BC and OM, the important organic components of PM2.5, were significantly associated with a higher risk of NSCLC progression with corresponding hazard ratios (HRs, 95% confidence intervals) of 2.42 (1.39, 4.23) and 2.41 (1.40, 4.14) for 1-year moving average, respectively. Short-term exposure to O3 was also associated with PFS with a HR of 1.64 (1.08, 2.50) for 3-month averaged exposure. Monotonic increasing dose-response relationships were further observed for the associations of BC, OM and O3 with PFS. Our findings imply the need of implementing effective measures for targeted reduction in specific sources of PM2.5 constituents (especially BC and OM) and O3 at different time windows to improve the prognosis of NSCLC patients especially for their PFS.

Silica dust exposure and associated pulmonary dysfunction among mine workers

This study assessed the impact of silica exposure on 145 mine workers in Mianwali, Punjab, Pakistan, compared to 45 non-exposed individuals. Pulmonary function tests revealed significantly reduced lung function in exposed workers (P < 0.05), with declines in Forced Expiratory Volume in one second (FEV1), Forced Vital Capacity (FVC), FEV1/FVC ratio, Peak Expiratory Flow, and Forced Expiratory Flow at 25-75% of FVC (FEF25-75). Radiological evaluations confirmed extensive lung damage (P < 0.05), including pleural effusion, reticular shadowing, and lung consolidation. Oxidative stress markers demonstrated increased lipid peroxidation, Fenton's Oxidative Stress, and Oxidative Stress Index (P < 0.05), along with reduced antioxidant enzyme activities, including Catalase, Superoxide Dismutase, Total Antioxidant Capacity, and Glutathione Peroxidase. Hematological analysis showed elevated White Blood Cells, Lymphocyte percentage, Hemoglobin, Hematocrit, Mean Corpuscular Volume, and Mean Corpuscular Hemoglobin (P < 0.05), reflecting systemic inflammation. Silica's piezoelectric properties contributed to oxidative stress and cellular damage, exacerbating pulmonary dysfunction. These findings highlight silica exposure as a severe occupational hazard, causing irreversible lung impairment and systemic oxidative imbalance. Implementing strict safety protocols, personal protective measures, and regular health monitoring is crucial to safeguarding workers.

Mediating effect of diabetes in the association between long-term PM2.5 exposure and cancer risk in CHARLS

Long-term exposure to air pollutants and diabetes are both linked to cancer development. However, their combined effect remains unclear. This study examined the relationship between air pollutants and cancer incidence, with diabetes as a potential mediator. Data from 10,590 participants in the 2015 China Health and Retirement Longitudinal Study (CHARLS) were analyzed. Participants were grouped based on cancer diagnosis, and air pollutant exposure levels were estimated using satellite-based spatiotemporal models. Generalized linear regression and restricted cubic spline (RCS) analysis were used to assess the impact of air pollutants and diabetes in covariates-adjusted models. Further analyses, including conditional independence test, mediation effect and sensitivity analysis based on Bayesian networks, were performed to further analyze specific air pollutants. After adjusting for covariates, particulate matter (PM) (PM ≤ 1 μm in aerodynamic diameter [PM1], PM2.5, ammonium (NH4), nitrate (NO3) and diabetes showed significant associations with cancer incidence. RCS analysis confirmed significant direct effects of PM2.5 and PM10 on cancer and the mediated effects of diabetes. The interaction between diabetes and both PM2.5 and PM10 was further supported by conditional independence tests, highlighting diabetes as a significant mediator in the PM2.5-cancer relationship. This study offers a novel perspective by identifying diabetes as a key intermediary in the association between PM2.5 exposure and cancer risk, providing evidence that diabetes plays a significant mediating role in air pollutant-related cancer development.

The impact of atmospheric ultrafine particulate matter on IgE-mediated type 1 hypersensitivity reaction

The effect of atmospheric ultrafine particulate matter (UPM) on respiratory allergic diseases has been investigated for decades; however, the precise molecular mechanisms underlying these effects remain poorly understood. In this study, we used a simulated UPM (sUPM) generated via the spark discharge method to refine black carbon, a core particle that closely mimics real-world UPM, including the size (i.e., size of agglomerates: 165 nm) and organic carbon/elemental carbon ratio (i.e., 2.62). When 25 μg/mouse of dispersed sUPM was instilled into the lungs of mice, it promoted the infiltration and degranulation response of pulmonary mast cells, and exposure to sUPM in an immunoglobulin E (IgE)-mediated passive anaphylaxis model intensified the degranulation response of peripheral mast cells. These effects of sUPM were demonstrated to amplify the downstream signaling mechanism of the high-affinity IgE receptor (FcεRI) mediated by IgE when tested using rat basophil leukemia (RBL)-2H3 and mouse bone marrow-derived mast cells (BMMCs) collected from the bone marrow of BALB/c mice. These results indicate that airborne UPM can exacerbate type 1 hypersensitivity reactions by enhancing the IgE-mediated signaling pathways within mast cells. Furthermore, this study provided mechanistic evidence on exacerbated allergic pulmonary diseases induced by UPM inhalation.

Genetic modifiers of asthma response to air pollution in children: An African ancestry GWAS and PM2.5 polygenic risk score study

RATIONALE

Ambient air pollution (AAP) is linked to asthma outcomes, but predicting individual risk remains challenging. Understanding genetic contributors to AAP sensitivity may help overcome this gap.

OBJECTIVES

To determine if single nucleotide polymorphisms (SNPs) are associated with AAP sensitivity in children with asthma.

METHODS

We complete a GWAS in pediatric patients with asthma frequently exposed to AAP, comparing patients with exacerbations following spikes in AAP to patients without this temporal association and calculate a polygenic risk score (PRS) for PM2.5. This PRS was validated using internal data and data from the All of Us cohort.

MEASUREMENTS AND RESULTS

We included 6023 patients in the GWAS, restricted to the African ancestry cohort due to the association between AAP exposure and race. Three loci reached genome-wide significance, including rs111970601, associated with CO sensitivity (odds ratio [OR] 6.58; P = 1.63 × 10-8) and rs9836522 with PM2.5 sensitivity (OR 0.75; P = 3,87 × 10-9), both externally validated. PRS z-scores were associated with increased asthma exacerbations in patients frequently exposed to poor air quality (β = 0.15; P = 2.67 × 10⁻⁵). Spirometry data from 4138 patients showed that having a high PRS was associated with lower FVC z-scores in patients frequently exposed to AAP (β = -0.44; P = 0.035). External validation confirmed a significant interaction between high PRS and frequent AAP exposure (β = 0.30; P = 0.012) CONCLUSIONS: We associate specific SNPs with AAP-related asthma exacerbations and introduce a PM2.5 sensitivity PRS, paving the way for future research aimed at protecting genetically predisposed patients.

Regional PM2.5 prediction with hybrid directed graph neural networks and Spatio-temporal fusion of meteorological factors

Traditional statistical prediction methods on PM2.5 often focus on a single temporal or spatial dimension, with limited consideration for regional transport interactions among adjacent cities. To address this limitation, we propose a hybrid directed graph neural network method based on deep learning, which utilizes domain features to quantify the influence of neighboring cities and construct a directed graph. The model comprises a historical feature extraction module and a future transmission prediction module, and each module integrates a Graph Neural Network (GNN) and a Long Short-Term Memory Network (LSTM) for spatiotemporal encoding. Compared to other neural network models, our model improves the prediction accuracy of PM2.5 concentration and demonstrates superior performance for 48-h prediction in the North China Plain. For 3- to 48-h prediction tasks, the proposed model achieves mean absolute error (MAE) at 7.64 - 14.04 μg/m3. In addition, by expanding the modeling scope from different directions and integrating domain information, the model significantly enhances its ability to predict PM2.5 trends, seasonal variations, and PM2.5 exceedances in heavily polluted urban areas. The proposed model represents a promising advancement in optimizing air quality forecasting and management.

Influence of air quality on lung cancer in people who have never smoked

OBJECTIVE

Lung cancer is the leading cause of cancer-related death. The percentage of people who have never smoked with lung cancer has risen recently, but alternative risk factors require further study. Our goal was to determine the influence of air quality on incidence of lung cancer in people who have smoked or never smoked.

METHODS

The cancer registry from a large urban medical center was queried to include every new diagnosis of lung cancer from 2013 to 2021. Air quality and pollution data for the county were obtained from the US Environmental Protection Agency from 1980 to 2018. Patient demographics, location of residence, smoking history, and tumor stage were recorded. Bivariate comparison analyses were conducted in R (R Foundation for Statistical Computing).

RESULTS

A total of 2223 new cases of lung cancer were identified. Mean age was 69.2 years. There was a nonsmoking rate of 8.1%. A total of 37% of patients identified as a racial minority. People who have never smoked were more likely to be diagnosed at an advanced stage. When analyzing geographic distribution, incidence of lung cancer among people who have never smoked was more closely associated with highly polluted areas. People who have never smoked with lung cancer had significantly higher exposure levels of multiple pollutants.

CONCLUSIONS

Newly diagnosed lung cancer appears to be more related to poor air quality among people who have never smoked than people who have smoked. Future studies are needed to examine the associations of specific pollutants with lung cancer incidence.

KCNJ15 inhibits chemical-induced lung carcinogenesis and progression through GNB1 mediated Hippo pathway

Polycyclic aromatic hydrocarbons (PAHs) are important environmental carcinogens that can cause lung cancer. However, the underlying epigenetic mechanism during PAHs-induced lung carcinogenesis has remained largely unknown. Previously, we screened some novel epigenetic regulatory genes during 3-methylcholanthrene (3-MCA)-induced lung carcinogenesis, including the potassium inwardly rectifying channel subfamily J member 15 (KCNJ15) gene. This study aimed to investigate the expression regulation, function, and mechanism of KCNJ15 through database analysis, malignant transformed cell model, and xenograft tumor models. We found that KCNJ15 was remarkably under-expressed during lung carcinogenesis and progression. High levels of DNA methylation led to low KCNJ15 expression in 3-MCA-induced malignantly transformed HBE cells. High expression of KCNJ15 was positively correlated with good survival prognosis in lung cancer patients. KCNJ15 overexpression significantly inhibited the growth, invasion, and migration of lung cancer cells both in vitro and in vivo. Knockdown of KCNJ15 resulted in an opposite phenotype. KCNJ15 regulated the Hippo pathway by activating YAP phosphorylation and inhibiting YAP expression. There was a significant protein-protein interaction between KCNJ15 and the G protein subunit beta 1 (GNB1). GNB1 overexpression effectively reduced the effect of KCNJ15 on Hippo pathway. Our data demonstrated that KCNJ15, as a novel epigenetic silencing tumor suppressor, regulates cell growth, invasion, and migration by interaction with GNB1 protein mediating the Hippo-YAP signaling pathway during chemical-induced lung carcinogenesis and progression. It provides novel insights into epigenetic regulation mechanism during carcinogenesis induced by environmental pollutants.

Global, regional and national burden of tracheal, bronchus, and lung cancer attributable to ambient particulate matter pollution from 1990 to 2021: an analysis of the global burden of disease study

BACKGROUND

The ambient particulate matter pollution may play a critical role in the initiation and development of tracheal, bronchus, and lung (TBL) cancer. Up to now, far too little attention has been paid to TBL cancer attributable to ambient particulate matter pollution. This study aims to assess the disease burden of TBL cancer attributable to ambient particulate matter pollution in global, regional and national from 1990 to 2021 to update the epidemiology data of this disease.

METHODS

Leveraging data from the Global Burden of Disease (GBD) 2021 study, we analyzed the worldwide burden of TBL cancer resulting from ambient particulate matter pollution using indices including disability-adjusted life years (DALYs), age-standardised rate of DALYs (ASDR). This burden was further segmented based on variables including geographical location, and socio-demographic index (SDI), age and sex.

RESULTS

The ASDR per 100,000 population of TBL cancer attributable to ambient particulate matter pollution increased by 0.2%[95% UI 0.1 to 0.3] to 79.6[95% UI 49.0 to 111.2] from 1990 to 2021 Globally. Middle-aged and elderly individuals accounted for the majority of the disease burden, with the highest value at the 65-69 years. Most of the disease burden was concentrated in countries with High-middle SDI. There was a positive correlation between ASDR of TBL cancer due to particulate matter pollution and the SDI(ρ = 0.66, p < 0.001). East Asia and Central Europe exhibited higher observed values than the fitted curves, while such as Austraiasia South Asia and Western Sub-Saharan Africa had a lower observed values than the fitted curves. Decomposition analysis showed that population aging and growth were the two major drivers of the increase in DALYs.

CONCLUSIONS

The disease burden of TBL cancer attributable to ambient particulate matter pollution has increased, especially in regions and countries with High-middle SDI.

Burdens of Tracheal, Bronchus, and Lung Cancer From 1990 to 2021 in China Compared to the Global Projection of 2036: Findings From the 2021 Global Burden of Disease Study

BACKGROUND

Tracheal, bronchial, and lung cancers (TBL cancers) pose a significant global health challenge, with rising incidence and mortality rates, particularly in China. Studies from the Global Burden of Disease (GBD), 2021, can guide screening and prevention strategies for TBL cancer. This study aims to provide a comprehensive analysis of the burden of TBL cancers in China compared to global data.

METHODS

We conducted an analysis of incidence, prevalence, mortality, and disability-adjusted life years (DALYs) from 1990 to 2021. We also performed Joinpoint regression analysis and Bayesian age-period-cohort (BAPC) modeling to project future trends.

RESULTS

From 1990 to 2021, there was a substantial increase in TBL cancer indicators for all sexes in China, with the most significant rise observed in females. The female population showed alarming increases in age-standardized incidence rate (ASIR) and age-standardized prevalence rate (ASPR). While global efforts have managed to stabilize these rates, China's figures remain high, suggesting the impact of persistent risk factors such as smoking and air pollution, coupled with an aging population. Furthermore, we utilized the projection model in China to estimate that these indicators of TBL cancers in females will likely follow continuous and rapid upward trends, while the burden of TBL cancers among males is expected to have a steady trend.

CONCLUSION

Although global efforts have been effective in reducing the burden of TBL cancers over the past three decades, there still remains strong regional and gender heterogeneity. TBL cancers need more screening strategies and medical attention in China and in the female population.

The health effects of poor air quality

ABSTRACT

Smoke, particularly from wildfires and other combustion sources, is a significant contributor to air pollution, comprising a complex mixture of particulate matter and gaseous pollutants. Prolonged exposure to smoke can exacerbate respiratory diseases, such as asthma and chronic obstructive pulmonary disease, leading to increased ED visits and hospitalizations. This article examines the significant health risks associated with air pollution, particularly chronic diseases and acute respiratory conditions, and discusses the emergency treatment of acute respiratory distress from exposure.

Early biological effects in outdoor workers exposed to urban air pollution: A systematic review

Urban outdoor workers (OWs), identified as professionals spending most of their working shifts in an urban environment, are exposed for at least 8 h/day to traffic air pollution, leading to potential health risks. This paper reports the results of a systematic review aimed at identifying the potential health outcomes of exposure to air pollutants for OWs, focusing mainly on police officers, drivers and street vendors. Health outcomes were analysed in terms of early biological effects quantified with specific measured indicators. The main inclusion criterion was the assessment of at least one early biological effect (genetic and epigenetic damage/alterations, inflammation or oxidative stress indicators, or hormonal imbalance) in a population of OWs exposed to urban air pollution. By applying the PRISMA workflow, 82 papers were included in this study. The results showed that the measured pollutant concentrations were significantly below the current occupational limit values, while exceeds the indications of WHO for urban air pollution. This exposure led to significant alterations of biological markers in OWs with respect to non-exposed subjects. In particular, OWs presented an increased frequency of micronuclei and DNA adducts as the main DNA alterations, while police officers (a category of highly exposed OWs) showed hormonal alterations affecting mainly the hypothalamic-pituitary-gonadal axis. Concerning oxidative stress and inflammation, all the analysed matrices (i.e. blood, sputum, urine and lachrymal fluids) showed increased indices for OWs respect to non-exposed groups. Therefore, the evaluation of effect biomarkers to detect early alterations provides crucial information for supporting the occupational risk management of OWs and, at broader level, allows for an insight of the early-stage health outcomes due to urban air pollution.

Association between the dietary inflammatory index and risk of lung cancer: a multi-centered case-control study

PURPOSE

Dietary factors might contribute to the risk of lung cancer by increasing the concentration of inflammatory markers. The literature-derived Dietary Inflammatory Index (DII) has been established to evaluate the inflammatory potential of diet correlated with inflammatory markers. The association between DII scores and the risk of lung cancer has been conflicting. So, in the current study, we aimed to assess the effect of pro-inflammatory dietary patterns measured with DII and the risk of lung cancer.

METHODS

A multi-center case-control study was carried out on 616 patients with lung cancer and 3412 healthy controls. Dietary intakes were collected using a 131-item food frequency questionnaire during a face-to-face interview. The DII scores including thirty-six nutrients were calculated after energy adjustments. Finally, the association between DII level and the risk of lung cancer was evaluated by performing a multi-variable regression method after adjusting for potential confounders.

RESULTS

The risk of overall lung cancer, small cell, and squamous cell carcinoma was elevated in the third tertile compared to the first tertile of the DII score, (odds ratio [OR] T3 vs. T1 of overall lung cancer = 1.38 (95% confidence interval [CI] 1.08-1.77), P trend = 0.01, OR T3 vs. T1 of squamous cell lung cancer = 1.82 (95% CI 1.02-3.24), P trend = 0.04, OR T3 vs. T1 of small cell lung cancer = 1.66 (95% CI 1.08-2.54), P trend = 0.019). However, no increase was observed in the risk of adenocarcinoma by adherence to a pro-inflammatory dietary pattern.

CONCLUSION

A positive link was found between DII and the risk of overall lung cancer, small-cell, and squamous-cell lung cancer. However, there was no association between DII and the risk of lung adenocarcinoma.

Molecular Mechanism of Action of Endocrine-Disrupting Chemicals on the Respiratory System

Endocrine-disrupting chemicals (EDCs) are a growing health hazard for humankind and respiratory health in particular. Such chemical compounds are present in the environment and food and may interfere with physiological processes through interference with functions of the endocrine system, making humans more susceptible to various types of diseases. This review aims to discuss the effects of EDCs on the respiratory system. Exposure to EDCs during fetal development and adulthood increases susceptibility to respiratory diseases such as asthma, COPD, and pulmonary fibrosis. EDCs are both multiple and complex in the ways they can act. Indeed, these chemicals may induce oxidative stress, modify cell proliferation and differentiation, interfere with tissue repair, and modulate the inflammatory response. Moreover, EDCs may also break the integrity of the blood-air barrier, allowing noxious substances to penetrate into the lung and thus enhancing the opportunity for infection. In conclusion, the scientific evidence available tends to indicate that EDCs exposure is strongly linked to the initiation of respiratory disease. Further research will be important in discovering the underlying molecular mechanisms and devising preventive and therapeutic measures.

New Insights into the Toxic Effects of Different Sizes of Nanosilica Particles in Food on the Mouse Bladder: Involving Epithelial-Mesenchymal Transition

Animals are widely exposed to nanosilica as a food additive. However, the negative effects of such nanosilica particles on animals' bladders are unclear. In the present study, we investigated the impact of MPs-SiO2 on mouse bladder and the underlying mechanisms. Mouse and MBEC cell models exposed to MPs-SiO2 with different particle sizes were established. At the same time, aminoguanidine hydrochloride (RNS inhibitor) and NF-κB activator were used to further explore its mechanism in vitro. We found that MPs-SiO2 of three sizes could induce RNS-induced pyroptosis causing EMT both in vitro and in vivo. After inhibiting RNS, the expression of related proteins in downstream pathways was decreased, and fibrosis was alleviated. The above situation was reversed by the addition of NF-κB activator. Furthermore, our data suggest that 300 nm MPs-SiO2 particles have a greater impact on the bladder than 50 nm particles. This study revealed the potential health risks of MPs-SiO2 and provided new insights into the toxicology of MPs-SiO2.

Defect Chemistry of Titanium Dioxide (Rutile). Progress Toward Sustainable Energy

This work, which overviews defect chemistry of TiO2 (rutile), is focused on atomic-size structural defects that are thermodynamically reversible. Here it is shown that thermodynamics can be used in defect engineering of TiO2-based energy materials, such as photoelectrodes and photocatalysts. We show that surface segregation of defects leads to the building-up of new surface structures that are responsible for reactivity. Since rational design of surface properties requires in situ surface characterization in operational conditions, expansion of bulk defect chemistry to surface defect chemistry requires a defect-related surface-sensitive tool for in situ monitoring of defect-related properties at elevated temperatures corresponding to defect equilibria and in a controlled gas-phase environment. Here we show that the high-temperature electron probe is a defect-related surface-sensitive tool that is uniquely positioned to aid surface defect engineering and determine unequivocal surface properties. The related applied aspects are considered for photoelectrochemical water splitting and the performance of solid oxide fuel cells. Here we report that trail-blazing studies on in situ surface monitoring of TiO2 during gas/solid equilibration, along with in situ characterization of surface semiconducting properties, leads to the discovery of a segregation-induced low-dimensional surface structure that is responsible for stable performance of oxide semiconductors, such as TiO2, in operational conditions.

Unexpected Inhibitory Role of Silica Nanoparticles on Lung Cancer Development by Promoting M1 Polarization of Macrophages

Introduction

Inhalation exposure to silica nanoparticles (SiNPs) is frequently inevitable in modern times. Although the impact of SiNPs on the ecological niche of the lungs has been extensively explored, the role and mechanism of SiNPs in the microenvironment of lung tumors remain elusive.

Methods

In this investigation, Lewis lung carcinoma (LLC) was implanted into the left lung in situ after 28 days of intratracheal SiNPs injection into the lungs of mice. This study evaluates the effects of SiNPs on the tumor immune microenvironment both in vitro and in vivo. Our findings indicate that SiNPs can suppress lung cancer by modulating the immune microenvironment of tumors.

Results

SiNPs treatment promotes macrophage M1 polarization by activating both NF-κB pathway and glycolytic mechanisms. This phenomenon may be associated with lung inflammation and fluctuation in the pre-metastatic and metastatic microenvironments induced by SiNPs exposure in mice. Additionally, we have shown for the first time that SiNPs have an inhibitory effect on lung carcinogenesis and its progression.

Conclusion

This study uniquely demonstrates that SiNPs suppress lung cancer by promoting M1 polarization of macrophages in the immune microenvironment of lung tumors. Our findings are critical in exploring the interaction between SiNPs and lung cancer.

Airborne ultrafine particle concentrations and brain cancer incidence in Canada's two largest cities

BACKGROUND

Malignant brain tumours are rare, but are important to study because survival rates are low and few modifiable risk factors have been identified. Existing evidence suggests that outdoor ultrafine particles (UFPs; particulate matter < 100 nm; sometimes referred to as nanoparticles) can deposit in the brain and could encourage initiation and progression of cancerous tumours, but epidemiological data are limited.

METHODS

High-resolution estimates of outdoor UFP concentrations and size were linked to residential locations of approximately 1.5 million people in Montreal and Toronto, Canada from 2001 to 2015. Cox proportional hazards models were used to estimate associations between annual average outdoor UFPs and malignant brain tumour incidence while adjusting for potential confounding factors including other outdoor air pollutants.

FINDINGS

In total, 1365 incident brain tumour cases occurred during follow-up. Consistent positive associations were observed between long-term exposures to outdoor UFPs and brain tumour incidence with increased risk ranging from 10.5% (95% CI: -1.4, 24.0%) to 15.3% (95% CI: 0.4, 32.5%) per 10,000 particle/cm3 increase. Long-term exposures to oxidant gases, black carbon, or fine particulate matter (PM2.5) were not associated with increased brain tumour incidence.

INTERPRETATION

Our results suggest that long-term exposures to outdoor UFPs are associated with an increased risk of developing malignant brain tumours. On an absolute scale, the magnitude of this risk translates into approximately 24 additional cases per year per 10,000 particle/cm3 increase in annual average outdoor UFPs in a hypothetical city of 3-million people.

FUNDING

Canadian Institutes of Health Research (CIHR) Foundation Grant and The United States Health Effects Institute (HEI).

Global, regional, and national burden and trends of air pollution-related neoplasms from 1990 to 2019: An observational trend study from the Global Burden of Disease Study 2019

BACKGROUND

Air pollution-related neoplasms are a major global public health issue and are one of the leading causes of death worldwide. Air pollution is one of the important risk factors of air pollution-related neoplasms and is associated with a variety of air pollution-related neoplasms.The primary objective of this study was to estimate the epidemiological patterns of death rates and disability-adjusted life years (DALYs) associated with air pollution-related neoplasms on a global scale, covering the period from 1990 to 2019. Furthermore, we aimed to predict the trends in these epidemiological patterns up to 2050. By achieving these goals, our study seeks to provide a comprehensive understanding of the potential causes underlying the observed disparities in neoplasm-related health outcomes, ultimately contributing to the development of effective strategies for addressing this major public health issue.

METHODS

Based on data from the 2019 Global Burden of Disease (GBD) study, the indicators of the air pollution-related neoplasms disease burden was the numbers and age-standardized rates (ASR) of deaths and disability-adjusted life years (DALYs) from 1990 to 2019. First, we compared the burden of air pollution-related neoplasms and temporal trends by gender, age, socio-demographic index (SDI), region, and country. Furthermore, driving factors and improvement potential were evaluated using decomposition and frontier analysis. Finally, forecasting analyses of the changing trend in the burden of air pollution-related neoplasm up to 2050 was conducted based on time series forecasting models.

RESULTS

In 2019, air pollution-related neoplasms accounted for 387.45 million (95 % UI 288.04-490.06 million) deaths and 8951.97 million (95 % UI 6680.89-11342.60 million) DALYs globally. Deaths and DALYs demonstrated an upward trend from 1990 to 2019, while their ASR showed a downward trend. The disease burden and the decline degree of males were both significantly higher than that of females, and the high burden was mainly in the elderly groups. The middle SDI region possessed the highest burden with the most significant upward trend, while the high SDI region had the lowest burden with the most significant downward trend. Decomposition analyses represented that the increase in the overall deaths and DALYs of air pollution-related neoplasms was mainly driven by population growth. The predictive analyses expected that the deaths and DALYs of air pollution-related neoplasms will continue to rise, while their corresponding ASR will decrease by 2050.

CONCLUSION

The global burden of air pollution-related neoplasms remained high, and deaths and DALYs will be on upward trends up to 2050, with differences among genders, ages, SDI levels, GBD regions, and countries. It is essential to understand the air pollution-related neoplasm burden and contributing epidemiological factors for implementing effective and factor-tailored interventions to reduce the global burden.

Epigenetic changes driven by environmental pollutants in lung carcinogenesis: a comprehensive review

Lung cancer remains the leading cause of cancer-related mortality globally, with environmental pollutants identified as significant risk factors, especially for nonsmokers. The intersection of these pollutants with epigenetic mechanisms has emerged as a critical area of interest for understanding the etiology and progression of lung cancer. Epigenetic changes, including DNA methylation, histone modifications, and non-coding RNAs, can induce alterations in gene expression without affecting the DNA sequence and are influenced by environmental factors, contributing to the transformation of normal cells into malignant cells. This review assessed the literature on the influence of environmental pollutants on lung cancer epigenetics. A comprehensive search across databases such as PubMed, Web of Science, Cochrane Library, and Embase yielded 3,254 publications, with 22 high-quality papers included for in-depth analysis. These studies demonstrated the role of epigenetic markers, such as DNA methylation patterns of genes like F2RL3 and AHRR and alterations in the miRNA expression profiles, as potential biomarkers for lung cancer diagnosis and treatment. The review highlights the need to expand research beyond homogenous adult male groups typically found in high-risk occupational environments to broader population demographics. Such diversification can reduce biases and enhance the relevance of findings to various clinical contexts, fostering the development of personalized preventive and therapeutic measures. In conclusion, our findings underscore the potential of innovative epigenetic therapies, such as DNA demethylating drugs and histone modification agents, to counter environmental toxins' carcinogenic effects. The growing interest in miRNA therapies and studies aiming to correct aberrant methylation patterns indicate significant strides toward better lung cancer management and a healthier future for global communities.

On the dose-response association of fine and ultrafine particles in an urban atmosphere: toxicological outcomes on bronchial cells at realistic doses of exposure at the Air Liquid Interface

Air pollution and particulate matter (PM) are the leading environmental cause of death worldwide. Exposure limits have lowered to increase the protection of human health; accordingly, it becomes increasingly important to understand the toxicological mechanisms on cellular models at low airborne PM concentrations which are relevant for actual human exposure. The use of air liquid interface (ALI) models, which mimic the interaction between airborne pollutants and lung epithelia, is also gaining importance in inhalation toxicological studies. This study reports the effects of ALI direct exposure of bronchial epithelial cells BEAS-2B to ambient PM1 (i.e. particles with aerodynamic diameter lower than 1 μm). Gene expression (HMOX, Cxcl-8, ATM, Gadd45-a and NQO1), interleukin (IL)-8 release, and DNA damage (Comet assay) were evaluated after 24 h of exposure. We report the dose-response curves of the selected toxicological outcomes, together with the concentration-response association and we show that the two curves differ for specific responses highlighting that concentration-response association may be not relevant for understanding toxicological outcomes. Noteworthy, we show that pro-oxidant effects may be driven by the deposition of freshly emitted particles, regardless of the airborne PM1 mass concentration. Furthermore, we show that reference airborne PM1 metrics, namely airborne mass concentration, may not always reflect the toxicological process triggered by the aerosol. These findings underscore the importance of considering different aerosol metrics to assess the toxicological potency of fine and ultrafine particles. To better protect human health additional metrics should be defined, than account for the properties of the entire aerosol mixture including specific as particle size (i.e. particles with aerodynamic diameter lower than 20 nm), the relevant aerosol sources (e.g., traffic combustion, secondary organic aerosol …) as well as their atmospheric processing (freshly emitted vs aged ones).

m6A-mediated HDAC9 upregulation promotes particulate matter-induced airway inflammation via epigenetic control of DUSP9-MAPK axis and acts as an inhaled nanotherapeutic target

Exposure to particulate matter (PM) can cause airway inflammation and worsen various airway diseases. However, the underlying molecular mechanism by which PM triggers airway inflammation has not been completely elucidated, and effective interventions are lacking. Our study revealed that PM exposure increased the expression of histone deacetylase 9 (HDAC9) in human bronchial epithelial cells and mouse airway epithelium through the METTL3/m6A methylation/IGF2BP3 pathway. Functional assays showed that HDAC9 upregulation promoted PM-induced airway inflammation and activation of MAPK signaling pathway in vitro and in vivo. Mechanistically, HDAC9 modulated the deacetylation of histone 4 acetylation at K12 (H4K12) in the promoter region of dual specificity phosphatase 9 (DUSP9) to repress the expression of DUSP9 and resulting in the activation of MAPK signaling pathway, thereby promoting PM-induced airway inflammation. Additionally, HDAC9 bound to MEF2A to weaken its anti-inflammatory effect on PM-induced airway inflammation. Then, we developed a novel inhaled lipid nanoparticle system for delivering HDAC9 siRNA to the airway, offering an effective treatment for PM-induced airway inflammation. Collectively, we elucidated the crucial regulatory mechanism of HDAC9 in PM-induced airway inflammation and introduced an inhaled therapeutic approach targeting HDAC9. These findings contribute to alleviating the burden of various airway diseases caused by PM exposure.

Construction of an adverse outcome pathway framework for arsenic-induced lung cancer using a network-based approach

Environmental pollutants are considered as a cause of tumorigenesis, but approaches to assess their risk of causing tumors remain insufficient. As an alternative approach, the adverse outcome pathway (AOP) framework is used to assess the risk of tumors caused by environmental pollutants. Arsenic is a pollutant associated with lung cancer, but early assessment of lung cancer risk is lacking. Therefore, we applied the AOP framework to arsenic-induced lung cancer. A systematic review revealed increased risks of lung cancer following exposure to a range of arsenic concentrations in drinking water (OR = 1.83, 95 % CI = 1.46-2.30). We obtained, from public databases, genes related to risk of arsenic-induced lung cancer. Then, Cox and LASSO regressions were used to screen target genes from the risk genes. Subsequently, target genes, phenotypes, and pathways were used to construct the computational AOP network, which was determined by Cytoscape to have 156 edges and 45 nodes. Further, target genes, phenotypes, and pathways were used as molecular initiating events and key events to construct the AOP framework depending on upstream and downstream relationships. In the AOP framework, by Weight of Evidence, arsenic exposure increased levels of EGFR, activated the PI3K/AKT pathway, regulated cell proliferation by promoting the G1/S phase transition, and caused generation of lung cancers. External validation was achieved through arsenite-induced, malignant transformed human bronchial epithelial (HBE) cells. Overall, these results, by integration into existing data to construct an AOP framework, provide insights into the assessment of lung cancer risk for arsenic exposure. Special attention needs to be focused on populations with low-dose arsenic exposure.

Environmental contamination with polycyclic aromatic hydrocarbons and contribution from biomonitoring studies to the surveillance of global health

This work presents an integrated overview of polycyclic aromatic hydrocarbons' (PAHs) ubiquity comprising environmental contamination in the air, aquatic ecosystems, and soils; characterizes the contamination in biota; and identifies main biomonitors and human exposure to PAHs and associated health risks. Urban centers and industrial areas present increased concentrations in the air (1344.4-12,300 versus 0.03-0.60 ng/m3 in industrial/urban and rural zones) and soils (0.14-1.77 × 106 versus 2.00-9.04 × 103 versus 1.59-5.87 × 103 ng/g in urban, forest, and rural soils), respectively. Increased concentrations were found in coastal zones and superficial waters as well as in sediments (7.00 × 104-1.00 × 109 ng/g). Benzo(a)pyrene, a carcinogenic PAH, was found in all environmental media. Mosses, lichens, tree leaves, bivalves, cephalopods, terrestrials' snails, and honeybees are good biomonitors of biota contamination. More studies are needed to improve characterization of PAHs' levels, distribution, and bioaccumulation in the environmental media and assess the associated risks for biota and human health. Actions and strategies to mitigate and prevent the bioaccumulation of PAHs in the environment and trophic chains toward the WHO's One-Health Perspective to promote the health of all ecosystems and human life are urgently needed.

Macrophage Extracellular Traps Suppress Particulate Matter-Induced Airway Inflammation

Accumulating evidence has substantiated the potential of ambient particulate matter (PM) to elicit detrimental health consequences in the respiratory system, notably airway inflammation. Macrophages, a pivotal component of the innate immune system, assume a crucial function in responding to exogenous agents. However, the roles and detailed mechanisms in regulating PM-induced airway inflammation remain unclear. The current study revealed that PM had the ability to stimulate the formation of macrophage extracellular traps (METs) both in vitro and in vivo. This effect was dependent on peptidylarginine deiminase type 4 (PAD4)-mediated histone citrullination. Additionally, reactive oxygen species were involved in the formation of PM-induced METs, in parallel with PAD4. Genetic deletion of PAD4 in macrophages resulted in an up-regulation of inflammatory cytokine expression. Moreover, mice with PAD4-specific knockout in myeloid cells exhibited exacerbated PM-induced airway inflammation. Mechanistically, inhibition of METs suppressed the phagocytic ability in macrophages, leading to airway epithelial injuries and an aggravated PM-induced airway inflammation. The present study demonstrates that METs play a crucial role in promoting the phagocytosis and clearance of PM by macrophages, thereby suppressing airway inflammation. Furthermore, it suggests that activation of METs may represent a novel therapeutic strategy for PM-related airway disorders.

The effect of air pollution quality on lung cancer rates in middle-income and high-income countries: a panel data analysis approach

Background

Air pollution is one of the biggest problems in societies today. The intensity of indoor and outdoor air pollutants and the urbanization rate can cause or trigger many different diseases, especially lung cancer. In this context, this study's aim is to reveal the effects of the indoor and outdoor air pollutants, and urbanization rate on the lung cancer cases.

Methods

Panel data analysis method is applied in this study. The research includes the period between 1990 and 2019 as a time series and the data type of the variables is annual. The dependent variable in the research model is lung cancer cases per 100,000 people. The independent variables are the level of outdoor air pollution, air pollution level indoor environment and urbanization rate of countries.

Results

In the modeling developed for the developed country group, it is seen that the variable with the highest level of effect on lung cancer is the outdoor air pollution level.

Conclusions

In parallel with the development of countries, it has been determined that the increase in industrial production wastes, in other words, worsening the air quality, may potentially cause an increase in lung cancer cases. Indoor air quality is also essential for human health; negative changes in this variable may negatively impact individuals' health, especially lung cancer.

Correlation of time trends of air pollutants, greenspaces and tracheal, bronchus and lung cancer incidence and mortality among the adults in United States

Background

Tracheal, Bronchus, and Lung (TBL) cancer continues to represent the majority of cancer-related incidence and mortality in United States (U.S.). While air pollutants are considered essential risk factors, both global and national average concentrations of major harmful air pollutants have significantly decreased over the decades. Green space may have a beneficial effect on human health.

Methods

We obtained data on national and state-level burden of TBL cancer, the annual average concentration of main air pollutants, and levels of green spaces in 2007, 2013, and 2019. According to generalized estimating equation (GEE), we examine the associations among incidence and mortality of TBL cancer, air pollutants, and greenspaces, represented by the Normalized Difference Vegetation Index (NDVI) in different age groups with models adjusted with meteorological, and socio-demographic. We observed additional effects of the interaction between the NDVI, Ozone, PM2.5, and other factors, which helped us to interpret and understand our results. Also, we collated states that witnessed net increments in forest coverage and conducted the same analysis separately.

Results

In our analysis, the majority of associations between NDVI and air pollutants with TBL cancer remained significantly positive, particularly noticeable among individuals aged 20 to 54. However, our findings did not explore air pollution as a potential mediator between greenspace exposure and TBL cancer. While the associations of PM2.5 with TBL cancer remained positive, the other four pollutants showed positive but statistically insignificant associations. Our interaction analysis yielded that there were positive associations between NDVI and ozone, PM2.5, and tobacco use. Max NDVI acts as a protective factor along with high HDI. Additionally, PM2.5 and HDI also showed a negative association. In 18 states with more forest, NDVI acts as a protective factor along with higher health care coverage, better health status, and participation in physical activities.

Conclusion

In the state-level of U.S., the effects of total greenspace with TBL cancer are mixed and could be modified by various socio-economic factors. PM2.5 has a direct correlation with TBL cancer and the effects can be influenced by underlying socioeconomic conditions.

Mapping the influence of hydrocarbons mixture on molecular mechanisms, involved in breast and lung neoplasms: in silico toxicogenomic data-mining

BACKGROUND

Exposure to chemical mixtures inherent in air pollution, has been shown to be associated with the risk of breast and lung cancers. However, studies on the molecular mechanisms of exposure to a mixture of these pollutants, such as hydrocarbons, in the development of breast and lung cancers are scarce. We utilized in silico toxicogenomic analysis to elucidate the molecular pathways linked to both cancers that are influenced by exposure to a mixture of selected hydrocarbons. The Comparative Toxicogenomics Database and Cytoscape software were used for data mining and visualization.

RESULTS

Twenty-five hydrocarbons, common in air pollution with carcinogenicity classification of 1 A/B or 2 (known/presumed or suspected human carcinogen), were divided into three groups: alkanes and alkenes, halogenated hydrocarbons, and polyaromatic hydrocarbons. The in silico data-mining revealed 87 and 44 genes commonly interacted with most of the investigated hydrocarbons are linked to breast and lung cancer, respectively. The dominant interactions among the common genes are co-expression, physical interaction, genetic interaction, co-localization, and interaction in shared protein domains. Among these genes, only 16 are common in the development of both cancers. Benzo(a)pyrene and tetrachlorodibenzodioxin interacted with all 16 genes. The molecular pathways potentially affected by the investigated hydrocarbons include aryl hydrocarbon receptor, chemical carcinogenesis, ferroptosis, fluid shear stress and atherosclerosis, interleukin 17 signaling pathway, lipid and atherosclerosis, NRF2 pathway, and oxidative stress response.

CONCLUSIONS

Within the inherent limitations of in silico toxicogenomics tools, we elucidated the molecular pathways associated with breast and lung cancer development potentially affected by hydrocarbons mixture. Our findings indicate adaptive responses to oxidative stress and inflammatory damages are instrumental in the development of both cancers. Additionally, ferroptosis-a non-apoptotic programmed cell death driven by lipid peroxidation and iron homeostasis-was identified as a new player in these responses. Finally, AHR potential involvement in modulating IL-8, a critical gene that mediates breast cancer invasion and metastasis to the lungs, was also highlighted. A deeper understanding of the interplay between genes associated with these pathways, and other survival signaling pathways identified in this study, will provide invaluable knowledge in assessing the risk of inhalation exposure to hydrocarbons mixture. The findings offer insights into future in vivo and in vitro laboratory investigations that focus on inhalation exposure to the hydrocarbons mixture.

Personal exposure to airborne organic pollutants and lung function changes among healthy older adults

Epidemiological evidence on the impact of airborne organic pollutants on lung function among the elderly is limited, and their underlying biological mechanisms remain largely unexplored. Herein, a longitudinal panel study was conducted in Jinan, Shandong Province, China, involving 76 healthy older adults monitored over a span of five months repetitively. We systematically evaluated personal exposure to a diverse range of airborne organic pollutants using a wearable passive sampler and their effects on lung function. Participants' pulmonary function indicators were assessed, complemented by comprehensive multi-omics analyses of blood and urine samples. Leveraging the power of interaction analysis, causal inference test (CIT), and integrative pathway analysis (IPA), we explored intricate relationships between specific organic pollutants, biomolecules, and lung function deterioration, elucidating the biological mechanisms underpinning the adverse impacts of these pollutants. We observed that bis (2-chloro-1-methylethyl) ether (BCIE) was significantly associated with negative changes in the forced vital capacity (FVC), with glycerolipids mitigating this adverse effect. Additionally, 31 canonical pathways [e.g., high mobility group box 1 (HMGB1) signaling, phosphatidylinositol 3-kinase (PI3K)/AKT pathway, epithelial mesenchymal transition, and heme and nicotinamide adenine dinucleotide (NAD) biosynthesis] were identified as potential mechanisms. These findings may hold significant implications for developing effective strategies to prevent and mitigate respiratory health risks arising from exposure to such airborne pollutants. However, due to certain limitations of the study, our results should be interpreted with caution.

Air pollution and upper respiratory diseases: an examination among medically insured populations in Wuhan, China

Multiple evidence has supported that air pollution exposure has detrimental effects on the cardiovascular and respiratory systems. However, most investigations focus on the general population, with limited research conducted on medically insured populations. To address this gap, the current research was designed to examine the acute effects of inhalable particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), ground-level ozone (O3), and sulfur dioxide (SO2) on the incidence of upper respiratory tract infections (URTI), utilizing medical insurance data in Wuhan, China. Data on URTI were collected from the China Medical Insurance Basic Database for Wuhan covering the period from 2014 to 2018, while air pollutant data was gathered from ten national monitoring stations situated in Wuhan city. Statistical analysis was performed using generalized additive models for quasi-Poisson distribution with a log link function. The analysis indicated that except for ozone, higher exposure to four other pollutants (NO2, SO2, PM2.5, and PM10) were significantly linked to an elevated risk of URTI, particularly during the previous 0-3 days and previous 0-4 days. Additionally, NO2 and SO2 were found to be positively linked with laryngitis. Furthermore, the effects of air pollutants on the risk of URTI were more pronounced during cold seasons than hot seasons. Notably, females and the employed population were more susceptible to infection than males and non-employed individuals. Our findings gave solid proof of the link between ambient air pollution exposure and the risk of URTI in medically insured populations.

GWAS reveals Genetic Susceptibility to Air Pollution-Related Asthma Exacerbations in Children of African Ancestry

Background

The relationship between ambient air pollution (AAP) exposure and asthma exacerbations is well-established. However, mitigation efforts have yielded mixed results, potentially due to genetic variability in the response to AAP. We hypothesize that common single nucleotide polymorphisms (SNPs) are linked to AAP sensitivity and test this through a Genome Wide Association Study (GWAS).

Methods

We selected a cohort of pediatric asthma patients frequently exposed to AAP. Patients experiencing exacerbations immediately following AAP spikes were deemed sensitive. A GWAS compared sensitive versus non-sensitive patients. Findings were validated using data from the All of Us program.

Results

Our study included 6,023 pediatric asthma patients. Due to the association between AAP exposure and race, GWAS analysis was feasible only in the African ancestry cohort. Seven risk loci reached genome-wide significance, including four non-intergenic variants. Two variants were validated: rs111970601 associated with sensitivity to CO (odds ratio [OR], 6.58; PL=L1.63L×L10-8; 95% CI, 3.42-12.66) and rs9836522 to PM2.5 sensitivity (OR 0.75; PL=L3,87 ×L10-9; 95% CI, 0.62-0.91).

Interpretation

While genetic variants have been previously linked to asthma incidence and AAP exposure, this study is the first to link specific SNPs with AAP-related asthma exacerbations. The identified variants implicate genes with a known role in asthma and established links to AAP. Future research should explore how clinical interventions interact with genetic risk to mitigate the effects of AAP, particularly to enhance health equity for vulnerable populations.

What is already known on this topic

The relationship between ambient air pollution (AAP) exposure and asthma exacerbations is well-established. However, efforts to mitigate the impact of AAP on children with asthma have yielded mixed results, potentially due to genetic variability in response to AAP.

What this study adds

Using publicly available AAP data, we identify which children with asthma experience exacerbations immediately following spikes in AAP. We then conduct a Genome Wide Association Study (GWAS) comparing these patients with those who have no temporal association between AAP spikes and asthma exacerbations, identifying several Single Nucleotide Polymorphisms (SNPs) significantly associated with AAP sensitivity.

How this study might affect research practice or policy

While genetic variants have previously been linked to asthma incidence and AAP exposure, this study is the first to link specific SNPs with AAP-related asthma exacerbations. This creates a framework for identifying children especially at risk when exposed to AAP. These children should be targeted with policy interventions to reduce exposure and may require specific treatments to mitigate the effects of ongoing AAP exposure in the interim.

Air pollution is associated with increased incidence-rate of head and neck cancers: A nationally representative ecological study

INTRODUCTION

Early studies show conflicting findings regarding particulate matter ≤ 2.5 μm in diameter (PM2.5) exposure and development of head and neck cancers (HNC). We analyzed the relationship between PM2.5 exposure and various types of HNC in a nationally representative ecological sample.

METHODS

We determined HNC incidence in 608 US counties from 2011 to 2019 using the Surveillance, Epidemiology and End Results (SEER) Program from the National Cancer Institute. We also collected information on sociodemographic factors from SEER and data on smoking and alcohol intake from CDC data frames (county level). PM2.5 exposure levels were estimated using satellite and meteorological data via previously validated general additive models. Flexible semi-nonparametric regression models were used to test the relationship between PM2.5 exposure levels and HNC incidence, adjusting for demographics, socioeconomic factors, and comorbidity.

RESULTS

Increased PM2.5 exposure levels were associated with higher incidence-rates of oral cavity and pharyngeal cancers controlling for confounders in our primary analyses (IRR = 1.04, 95 % CI 1.01, 1.07, p = 0.02 per 1 μg/m3 increase in PM2.5). This relationship was maintained after adjusting for multiple testing (Holm s method, p = 0.04) and in ordinary least squares (OLS) regression (β = 0.17, 95 % CI 0.01, 0.57, p = 0.01). Increased exposure was also associated with other HNC: esophagus (IRR = 1.06, 95 % CI 1.01, 1.11, p = 0.02), lip (IRR = 1.16, 95 % CI 1.03, 1.31, p = 0.01), tonsil (IRR = 1.10, 95 % CI 1.03, 1.16, p < 0.01). However, these relationships were not maintained in secondary analyses.

CONCLUSIONS

This nationally representative ecological study shows that increased levels of air pollution are associated with increased incidence of overall oral cavity and pharyngeal cancers in the US.

Causal effects of exposure to ambient air pollution on cancer risk: Insights from genetic evidence

Air pollution has been increasingly linked to cancer risk. However, the genetic causality between air pollution and cancer risk remains poorly understood. To elucidate the potential roles of air pollution (NOx, NO2, PM2.5, PM course, and PM10) in the risk of 18 specific-site cancers, large-scale genome-wide association studies with a novel Mendelian randomization (MR) method were employed. Our MR analyses revealed significant associations between certain air pollutants and specific types of cancer. Specifically, a positive association was observed between NOx exposure and squamous cell lung cancer (OR: 1.96, 95%CI: 1.07-3.59, p = 0.03) as well as esophageal cancer (OR: 1.002, 95%CI: 1.001-1.003, p = 0.005). Genetically predicted NO2 exposure was found to be a risk factor for endometrial cancer (OR 1.41, 95%CI: 1.03-1.94, p = 0.03) and ovarian cancer (OR: 1.49, 95%CI: 1.14-1.95, p = 0.0037). Additionally, genetically predicted PM2.5 exposure was associated with an increased risk of ER+ breast cancer (OR: 1.24, 95%CI: 1.03-1.5, p = 0.02) and ER- breast cancer (OR: 2.57, 95%CI: 1.05-6.3, p = 0.04). PM course exposure was identified as a risk factor for glioma (OR: 487.28, 95%CI: 13.08-18,153, p = 0.0008), while PM10 exposure exerted a detrimental effect on mesothelioma (OR: 114.75, 95%CI: 1.14-11,500.11, p = 0.04) and esophageal cancer (OR: 1.01, 95%CI: 1.007-1.02, p = 0.03). These findings underscored the importance of mitigating air pollution to reduce the burden of cancer and highlight the need for further investigations to elucidate the underlying mechanisms involved in these associations.

From Local Issues to Global Impacts: Evidence of Air Pollution for Romania and Turkey

Air pollution significantly threatens human health and natural ecosystems and requires urgent attention from decision makers. The fight against air pollution begins with the rigorous monitoring of its levels, followed by intelligent statistical analysis and the application of advanced machine learning algorithms. To effectively reduce air pollution, decision makers must focus on reducing primary sources such as industrial plants and obsolete vehicles, as well as policies that encourage the adoption of clean energy sources. In this study, data analysis was performed for the first time to evaluate air pollution based on the SPSS program. Correlation coefficients between meteorological parameters and particulate matter concentrations (PM1, PM2.5, PM10) were calculated in two urban regions of Romania (Craiova and Drobeta-Turnu Severin) and Turkey (Adana). This study establishes strong relationships between PM concentrations and meteorological parameters with correlation coefficients ranging from -0.617 (between temperature and relative humidity) to 0.998 (between PMs). It shows negative correlations between temperature and particulate matter (-0.241 in Romania and -0.173 in Turkey) and the effects of humidity ranging from moderately positive correlations with PMs (up to 0.360 in Turkey), highlighting the valuable insights offered by independent PM sensor networks in assessing and improving air quality.

Joint association of heavy metals and polycyclic aromatic hydrocarbons exposure with depression in adults

BACKGROUND

Heavy metals (HMs) and polycyclic aromatic hydrocarbons (PAHs) represent significant components of environmental pollution, typically occurring as mixtures, raising concerns about their potential impact on human health. However, the combined effect of HMs and PAHs exposure on depression has not been explored.

METHODS

Leveraging National Health and Nutrition Examination Survey (NHANES) data spanning 2005 to 2016, we employ survey-weighted multiple logistic regression models to probe the interrelation between HMs, PAHs, and depression. This exploration is complemented by age and gender-stratified analyses, as well as a determination of the dose-response linkage via restricted cubic spline regression. Furthermore, the combined impact of HMs and PAHs on depression was evaluated through a range of statistical methodologies.

RESULTS

The study encompasses 7732 adults. Our findings unveil notable associations, indicating the significant influence of cadmium (Cd), lead (Pb), and all six PAHs metabolites on depression. Moreover, mixed exposure to HMs and PAHs emerges as a substantial contributor to an augmented depression risk, with Cd, Pb, 1-hydroxynaphthalene (1-NAP), 2-hydroxyfluorene (2-FLU), and 1-hydroxypyrene (1-PYR) likely driving this positive relationship. Intriguingly, subgroup analyses highlight greater prominence of these connections among individuals aged 20-59 and among women. Furthermore, the results tentatively suggest a potential interplay between Cd and 2-NAP in relation to depression.

CONCLUSION

This study posits that exposure to both individual and combined HMs and PAHs may be associated with an elevated risk of depression. Further prospective investigations are warranted to substantiate these findings.

The changes and correlation of IL-6 and oxidative stress levels in RAW264.7 macrophage cells induced by PAHs in PM2.5

The objective of this study was to investigate the effects of anthracene (Ant) with 3 rings, benzo[a]anthracene (BaA) with 4 rings and benzo[b]fluoranthene (BbF) with 5 rings in fine particulate matter (PM2.5) at different exposure times (4 h and 24 h) and low exposure levels (0 pg/mL, 0.1 pg/mL, 1 pg/mL, 100 pg/mL and 10,000 pg/mL) on RAW264.7 cells. The changes of interleukin-6 (IL-6) and oxidative stress levels in RAW264.7 cells were investigated by methyl-thiazolyl-tetrazolium (MTT) and enzyme-linked immunosorbent assay (ELISA). Pearson correlation analysis was used to analyze the correlation between variables. Ant, BaA and BbF induced the secretion of IL-6 and the occurrence of oxidative stress in RAW264.7 cells. The inflammatory effect and oxidative damage were exacerbated with prolonged exposure time, increasing exposure concentration and increasing number of PAH rings. At the same time, IL-6 was found to have a certain correlation with the levels of ROS, MDA and SOD. Exposure to atmospheric PAHs at low concentrations can also produce toxic effects on cells, IL-6 and oxidative stress work together in cell damage. The study is expected to provide a theoretical and experimental basis for air pollution control and human health promotion.

Recent Progress on Functionalized Graphene Quantum Dots and Their Nanocomposites for Enhanced Gas Sensing Applications

Gas-sensing technology has witnessed significant advancements that have been driven by the emergence of graphene quantum dots (GQDs) and their tailored nanocomposites. This comprehensive review surveys the recent progress made in the construction methods and applications of functionalized GQDs and GQD-based nanocomposites for gas sensing. The gas-sensing mechanisms, based on the Fermi-level control and charge carrier depletion layer theory, are briefly explained through the formation of heterojunctions and the adsorption/desorption principle. Furthermore, this review explores the enhancements achieved through the incorporation of GQDs into nanocomposites with diverse matrices, including polymers, metal oxides, and 2D materials. We also provide an overview of the key progress in various hazardous gas sensing applications using functionalized GQDs and GQD-based nanocomposites, focusing on key detection parameters such as sensitivity, selectivity, stability, response and recovery time, repeatability, and limit of detection (LOD). According to the most recent data, the normally reported values for the LOD of various toxic gases using GQD-based sensors are in the range of 1-10 ppm. Remarkably, some GQD-based sensors exhibit extremely low detection limits, such as N-GQDs/SnO2 (0.01 ppb for formaldehyde) and GQD@SnO2 (0.10 ppb for NO2). This review provides an up-to-date perspective on the evolving landscape of functionalized GQDs and their nanocomposites as pivotal components in the development of advanced gas sensors.

Efficacy and safety of second-line camrelizumab combined with apatinib and chemotherapy in patients with advanced lung adenocarcinoma: A prospective, open-label, multicentric study

OBJECTIVES

Camrelizumab (a programmed cell death protein 1 inhibitor) and apatinib (an angiogenesis inhibitor) are considered as potential treatments for advanced lung adenocarcinoma (LUAD). This study aimed to evaluate the efficacy and safety of second-line camrelizumab combined with apatinib and chemotherapy (albumin-bound paclitaxel, docetaxel, or pemetrexed) in patients with advanced LUAD.

METHODS

Twenty-nine patients with advanced LUAD underwent second-line camrelizumab combined with apatinib and chemotherapy were enrolled in this prospective, open-label, multicentric study. Follow-up with a median duration of 18.0 months was conducted.

RESULTS

There were 0 (0.0 %), 11 (37.9 %), 14 (48.4 %), and 3 (10.3 %) patients achieving complete response, partial response, stable disease, and progressive disease, respectively. Meanwhile, treatment response was not evaluated in 1 (3.4 %) patient. The objective response and disease control rates were 37.9 % and 86.3 %, respectively. In terms of survival, the median (95 % confidence interval) progression-free survival (PFS) was 11.1 (5.2-17.0) months, with 1-year and 2-year PFS rates of 40.4 % and 20.5 %, respectively. The median overall survival (OS) was not reached; the 1-year and 2-year OS rates were 72.0 % and 64.8 %, respectively. Current treatment cycles ≥ 8 were associated with better PFS and OS (both P < 0.001). In addition, 21 (72.4 %) patients experienced at least one treatment-emergent adverse event (TEAE), which was mostly of grade I and II. The most commonly occurring TEAE was leukopenia (17.2 %), liver dysfunction (17.2 %), hypothyroidism (13.8 %), hand-foot syndrome (13.8 %), and thrombocytopenia (13.8 %).

CONCLUSION

Second-line camrelizumab combined apatinib and chemotherapy might serve as a potential treatment with acceptable safety in patients with advanced LUAD.

An Overview of Cancer in Djibouti: Current Status, Therapeutic Approaches, and Promising Endeavors in Local Essential Oil Treatment

Djibouti, a developing economy, grapples with significant socioeconomic obstacles and the prevalence of infectious pathologies, including certain forms of neoplasms. These challenges are exacerbated by limited access to affordable medical technologies for diagnosis, coupled with a lack of preventive interventions, particularly in disadvantaged areas. The attention devoted to local phytotherapeutic treatments underscores the uniqueness of Djibouti's flora, resulting from its distinctive geographical position. International focus specifically centers on harnessing this potential as a valuable resource, emphasizing the phytoconstituents used to counter pathologies, notably carcinomas. This comprehensive overview covers a broad spectrum, commencing with an examination of the current state of knowledge, namely an in-depth investigation of oncological risk factors. Essential elements of control are subsequently studied, highlighting the fundamental prerequisites for effective management. The significance of dietary habits in cancer prevention and support is explored in depth, while traditional methods are examined, highlighting the cultural significance of indigenous essential oil therapies and encouraging further research based on the promising results.

A regional cooperative reduction game model for air pollution control in North China

Due to variations in economic scale, economic structure, and technological advancement across different Chinese provinces and cities, the cost of air pollution reduction differs significantly. Therefore, the total reduction cost can be decreased by capitalizing on these regional discrepancies in reduction cost to carry out cooperative emission reduction. In this paper, taking NOx reduction in North China as an example, a regional cooperative reduction game (CRG) model was constructed to minimize the total cost of emission reduction while achieving future emission reduction targets. The fair allocation of benefits from cooperation plays a crucial role in motivating regions to participate into the cooperation. A comprehensive mechanism of benefits allocation was proposed to achieve fair transferred compensation. The mechanism combines the consumption responsibility principle based on input-output theory and the Shapley value method based on game theory. Compared to the cost before the optimized collaboration, the CRG model will save 20.36% and 13.71% of the total reduction cost in North China, respectively, under the target of 17.68% NOx reduction by 2025 and 66.44% NOx reduction by 2035 relative to 2020. This method can be employed in other regions to achieve targets for air pollution reduction at minimum cost, and to motivate inter-regional cooperation with this practical and fair way of transferred compensation.