Analysis of Single Nucleotide Variants (SNVs) Induced by Exposure to PM10 in Lung Epithelial Cells Using Whole Genome Sequencing

Impact of Exposure to Environmental Particulate Matter on the Onset of Giant Cell Arteritis

OBJECTIVE

The aim of this study was to investigate the association between exposure to particulate matter with an aerodynamic diameter ≤10 μm (PM10) and the development of giant cell arteritis (GCA) and its ischemic complications.

METHODS

This was case-crossover study on consecutive patients who received a diagnosis of GCA in three hospitals in northern Italy between 2013 and 2021. The PM10 hourly and daily average concentrations, collected in the Italian monitoring network and archived by Istituto Superiore per la Protezione e la Ricerca Ambientale, were determined using European reference. We used a Bayesian hierarchical model to determine patients' daily exposures to them. We employed conditional logistic regression to estimate the effect of exposure on GCA symptoms onset or ischemic complications.

RESULTS

We included 232 patients. A positive association was observed between exposure to PM10 and GCA risk, with an incremental odd of 27.1% (95% confidence interval 5.8-52.6) for every 10-μg/m3 increase in PM10 concentration within a 60-day period. We did not find any significant association for shorter periods or with ischemic complications. Subgroup analysis found a significantly higher incremental risk at a 60-day lag for patients ≥70 years old. Comparing patients who were chronically exposed to high PM10 levels (26.9 ± 13.8 μg/m3) to those who were not (11.9 ± 7.9 μg/m3) revealed that only in the former group was there an association between GCA onset and increased PM10 levels in the preceding 60 days.

CONCLUSION

Exposure to environmental PM10 in the preceding 60 days seems to be associated with an increased risk of developing GCA, especially in older individuals with prolonged exposure to high levels of air pollution.

Mutational landscape induced by chronic exposure to environmental PM10 and PM2.5 in A549 lung epithelial cell

Exposure to particulate matter (PM) has been linked to an increased risk of multiple diseases, primarily lung cancer, through various molecular mechanisms. However, the mutagenic potential of PM remains unclear. This study aimed to provide a comprehensive description of genetic mutations and mutagenic signatures resulting from chronic exposure to PM10 or PM2.5. Using whole exome sequencing, we identified driver mutations and mutational signatures in A549 cells, a lung epithelial cell model subjected to weekly exposure to either PM10 or PM2.5, for a period of 28 weeks. The number of single nucleotide variations, insertions, and deletions increased depending on the duration of exposure. PM10 generated the highest number of genomic alterations. Amplifications in SYK (oncogene) and mutations in NCOR1 (tumor suppressor gene) were prevalent in cells exposed to either PM10 or PM2.5; however, other mutations were exclusive, such as TP53 and ANK3 for PM10, and ERCC1 and ERCC2 for PM2.5. Different p53-related signaling pathways were most enriched by driver mutations upon exposure to both PM10 and PM2.5, particularly the glucose deprivation pathway. Exposure to either PM10 or PM2.5 resulted in high frequencies of C > A substitutions and one-base insertions/deletions in microhomology sites. The single-base substitution (SBS) signature SBS05, related to the nucleotide excision DNA repair pathway, contributed the most to both PM10-and PM2.5-exposed cells. The contribution of signature SBS18, related to oxidative stress, was observed in cells exposed to either PM10 or PM2.5, but a greater contribution was observed in PM2.5-exposed cells. In addition, SBS03 and SBS36, which are related to different DNA damage repair mechanisms, were observed more frequently in PM10-exposed cells. We assessed the mutagenic potential of PM10 and PM2.5, as a complete mixture, identifying mutated driver genes and mutational signatures generated by chronic PM exposure, which could contribute to the development of cancer, cardiovascular, and digestive diseases.

Genomic Characterization Revealed PM2.5-Associated Mutational Signatures in Lung Cancer Including Activation of APOBEC3B

Fine particulate matter (PM_2.5) exposure causes DNA mutations and abnormal gene expression leading to lung cancer, but the detailed mechanisms remain unknown. Here, analysis of genomic and transcriptomic changes upon a PM_2.5 exposure-induced human bronchial epithelial cell-based malignant transformed cell model in vitro showed that PM_2.5 exposure led to APOBEC mutational signatures and transcriptional activation of APOBEC3B along with other potential oncogenes. Moreover, by analyzing mutational profiles of 1117 non-small cell lung cancers (NSCLCs) from patients across four different geographic regions, we observed a significantly higher prevalence of APOBEC mutational signatures in non-smoking NSCLCs than smoking in the Chinese cohorts, but this difference was not observed in TCGA or Singapore cohorts. We further validated this association by showing that the PM_2.5 exposure-induced transcriptional pattern was significantly enriched in Chinese NSCLC patients compared with other geographic regions. Finally, our results showed that PM_2.5 exposure activated the DNA damage repair pathway. Overall, here we report a previously uncharacterized association between PM_2.5 and APOBEC activation, revealing a potential molecular mechanism of PM_2.5 exposure and lung cancer.

Genetic differences between smokers and never-smokers with lung cancer

Smoking is a major risk factor for lung cancer, therefore lung cancer epidemiological trends reflect the past trends of cigarette smoking to a great extent. The geographic patterns in mortality closely follow those in incidence. Although lung cancer is strongly associated with cigarette smoking, only about 15% of smokers get lung cancer, and also some never-smokers develop this malignancy. Although less frequent, lung cancer in never smokers is the seventh leading cause of cancer deaths in both sexes worldwide. Lung cancer in smokers and never-smokers differs in many aspects: in histological types, environmental factors representing a risk, and in genes associated with this disease. In this review, we will focus on the genetic differences between lung cancer in smokers versus never-smokers: gene expression, germ-line polymorphisms, gene mutations, as well as ethnic and gender differences. Finally, treatment options for smokers and never-smokers will be briefly reviewed.

Effects and Mechanism of Particulate Matter on Tendon Healing Based on Integrated Analysis of DNA Methylation and RNA Sequencing Data in a Rat Model

Exposure to particulate matter (PM) has been linked with the severity of various diseases. To date, there is no study on the relationship between PM exposure and tendon healing. Open Achilles tenotomy of 20 rats was performed. The animals were divided into two groups according to exposure to PM: a PM group and a non-PM group. After 6 weeks of PM exposure, the harvest and investigations of lungs, blood samples, and Achilles tendons were performed. Compared to the non-PM group, the white blood cell count and tumor necrosis factor-alpha expression in the PM group were significantly higher. The Achilles tendons in PM group showed significantly increased inflammatory outcomes. A TEM analysis showed reduced collagen fibrils in the PM group. A biomechanical analysis demonstrated that the load to failure value was lower in the PM group. An upregulation of the gene encoding cyclic AMP response element-binding protein (CREB) was detected in the PM group by an integrated analysis of DNA methylation and RNA sequencing data, as confirmed via a Western blot analysis showing significantly elevated levels of phosphorylated CREB. In summary, PM exposure caused a deleterious effect on tendon healing. The molecular data indicate that the action mechanism of PM may be associated with upregulated CREB signaling.