Toxicological responses of A549 and HCE-T cells exposed to fine particulate matter at the air-liquid interface.

Environ Sci Pollut Res Int

Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, 210044, China.

Published: April 2024

Fine particulate matter (PM) can enter the human body in various ways and have adverse effects on human health. Human lungs and eyes are exposed to the air for a long time and are the first to be exposed to PM. The "liquid immersion exposure method" has some limitations that prevent it from fully reflecting the toxic effects of particulate matter on the human body. In this study, the collected PM samples were chemically analyzed. An air-liquid interface (ALI) model with a high correlation to the in vivo environment was established based on human lung epithelial cells (A549) and immortalized human corneal epithelial cells (HCE-T). The VITROCELL Cloud 12 system was used to distribute PM on the cells evenly. After exposure for 6 h and 24 h, cell viability, apoptosis rate, reactive oxygen species (ROS) level, expression of inflammatory factors, and deoxyribonucleic acid (DNA) damage were measured. The results demonstrated significant dose- and time-dependent effects of PM on cell viability, cell apoptosis, ROS generation, and DNA damage at the ALI, while the inflammatory factors showed dose-dependent effects only. It should be noted that even short exposure to low doses of PM can cause cell DNA double-strand breaks and increased expression of γ-H2AX, indicating significant genotoxicity of PM. Increased abundance of ROS in cells plays a crucial role in the cytotoxicity induced by PM exposure These findings emphasize the significant cellular damage and genotoxicity that may result from short-term exposure to low levels of PM.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11052810PMC
http://dx.doi.org/10.1007/s11356-024-32944-4DOI Listing

Publication Analysis

Top Keywords

particulate matter
12
fine particulate
8
air-liquid interface
8
human body
8
epithelial cells
8
cell viability
8
inflammatory factors
8
dna damage
8
exposure low
8
human
6

Similar Publications

Soil microorganisms transform plant-derived C (carbon) into particulate organic C (POC) and mineral-associated C (MAOC) pools. While microbial carbon use efficiency (CUE) is widely recognized in current biogeochemical models as a key predictor of soil organic carbon (SOC) storage, large-scale empirical evidence is limited. In this study, we proposed and experimentally tested two predictors of POC and MAOC pool formation: microbial necromass (using amino sugars as a proxy) and CUE (by O-HO approach).

View Article and Find Full Text PDF

Relationship of modifiable risk factors with the incidence of thyroid cancer: a worldwide study.

BMC Res Notes

January 2025

Non-Communicable Diseases Research Center, Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.

Background: Thyroid cancer is one of the most common cancers of the endocrine system. The incidence of this cancer has increased in many countries. Many cases of thyroid cancer do not have any symptoms.

View Article and Find Full Text PDF

The superposition of heavy metals (HMs) from multiple anthropogenic sources in geochemical anomaly areas makes it difficult to discriminate prime sources in atmospheric HMs. This study utilized a combination of microscopic features, positive matrix factorisation, and Pb isotope fingerprints to trace the main sources of HMs bound to total suspended particulates (TSP) at a pollution site (Msoshui: MS) and control site (Lushan: LS) in northwestern Guizhou. The results reveal that the concentrations of Cd, Pb, Cr, As, Cu, Ni, and Zn in the TSP of LS are 3.

View Article and Find Full Text PDF

This paper proposes a hybridized model for air quality forecasting that combines the Support Vector Regression (SVR) method with Harris Hawks Optimization (HHO) called (HHO-SVR). The proposed HHO-SVR model utilizes five datasets from the environmental protection agency's Downscaler Model (DS) to predict Particulate Matter ([Formula: see text]) levels. In order to assess the efficacy of the suggested HHO-SVR forecasting model, we employ metrics such as Mean Absolute Percentage Error (MAPE), Average, Standard Deviation (SD), Best Fit, Worst Fit, and CPU time.

View Article and Find Full Text PDF

Understanding the composition of mercury (Hg) in the atmosphere is important for confirming its sources and to preventing and reduce the production. To explore the morphological distribution characteristics of wet Hg concentrations in Xi'an Shaanxi Province, China, total Hg (THg), dissolved Hg (DTHg), reactive Hg (RTHg) and particulate-bound Hg (PTHg) (Hg insoluble in water) were measured at 72 precipitation in Xi'an from September 2020 to July 2022, and their average concentrations were 3.035 ± 3.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!