Environmental impact and human health effects of polycyclic aromatic hydrocarbons and remedial strategies: A detailed review

Chemosphere, Journal Year: 2024, Volume and Issue: 351, P. 141227 - 141227

Published: Jan. 21, 2024

Language: Английский

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Associations between Ambient Air Pollutants and Mortality from Respiratory and Cardiovascular Diseases in the Shandong Peninsula Urban Agglomeration, China: A Distributed Lag Non-linear Model Analysis

Atmospheric Pollution Research, Journal Year: 2025, Volume and Issue: unknown, P. 102416 - 102416

Published: Jan. 1, 2025

Language: Английский

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Joint effects of temperature and humidity with PM2.5 on COPD

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 3, 2025

Abstract Background Particulate matter less than 2.5 microns in aerodynamic diameter (PM ) is a significant air pollutant known to adversely affect respiratory health and increase the incidence of chronic obstructive pulmonary disease (COPD). Furthermore, climate change exacerbates these impacts, as extreme temperatures relative humidity (RH) levels can intensify effects PM . This study aims examine joint , temperature, RH on risk COPD. Methods A case–control was conducted among 1,828 participants from 2017 2022 (995 COPD patients 833 controls). The radial basis function interpolation utilized estimate participants' individual mean differences 1-day, 7-day, 1-month periods. Logistic regression models examined associations environmental exposures with adjusting for confounders. Joint by quartiles temperature were also examined. Results We observed that 1 µg/m 3 7-day associated 1.05-fold 1.06-fold OR ( p < 0.05 ). For RH, we U-shaped optimal identified 21.2 °C, 23.8 °C respectively, 73.8%, 76.7%, 75.4% respectively effect show high (> 23.5 °C) both extremely low (69.3%) (80.9%) generally exacerbate COPD, especially over longer exposure durations. Conclusion underscore importance pollution control comprehensive research mitigate context change.

Language: Английский

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Baseline Particulate Matter Characteristics and Microbial Composition in Air Samples from Natural and Urban Environments: A First Combined Genomic and Microscopy Analysis

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 1778 - 1778

Published: Feb. 10, 2025

This study examines the differences in particulate matter (PM) properties and microbial compositions between natural urban environments, providing foundational data for environmental monitoring biothreat detection. Air samples were collected during spring early summer from two distinct locations: a forest/lake area, an parking lot adjacent to high-traffic roadway. Quantitative phase imaging microscopy genomic sequencing employed characterize particle size distributions, statistical properties, community structures these environments. The results revealed significant PM locations. Urban air exhibited higher concentrations that reflect pollution sources, whereas environment displayed greater variability distribution, correlating with diverse biological content. Genomic showed lower diversity of communities compared area but uniformity. To sum up, by integrating optical sequencing, this research demonstrates feasibility establishing baselines characteristics bio-component diversity. findings underscore potential combining real-time sensing tools detection improved settings.

Language: Английский

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Identification of benzo(a)pyrene-related toxicological targets and their role in chronic obstructive pulmonary disease pathogenesis: a comprehensive bioinformatics and machine learning approach

BMC Pharmacology and Toxicology, Journal Year: 2025, Volume and Issue: 26(1)

Published: Feb. 17, 2025

Chronic obstructive pulmonary disease (COPD) pathogenesis is influenced by environmental factors, including Benzo(a)pyrene (BaP) exposure. This study aims to identify BaP-related toxicological targets and elucidate their roles in COPD development. A comprehensive bioinformatics approach was employed, the retrieval of from Comparative Toxicogenomics Database (CTD) Super-PRED database, identification differentially expressed genes (DEGs) GSE76925 dataset, protein-protein interaction (PPI) network analysis. Functional enrichment immune infiltration analyses were conducted using GO, KEGG, ssGSEA algorithms. Feature related BaP exposure identified SVM-RFE, Lasso, RF machine learning methods. nomogram constructed validated for risk prediction. Molecular docking performed evaluate binding affinity with proteins encoded feature genes. We 72 COPD. analysis highlighted pathways oxidative stress inflammation. Immune revealed significant increases B cells, DC, iDC, macrophages, T helper Tcm, TFH patients compared controls. Correlation showed strong links between stress, inflammation pathway scores, aDC, Th1 Th2 cells. Seven (ACE, APOE, CDK1, CTNNB1, GATA6, IRF1, SLC1A3) across based on these high diagnostic accuracy clinical utility. highest suggestive its pivotal role BaP-induced pathogenesis. The elucidates molecular mechanisms COPD, specifically highlighting promoting cell infiltration. may serve as potential biomarkers therapeutic targets. Additionally, demonstrates predicting risk, providing a valuable tool application BaP-exposed individuals.

Language: Английский

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Exposure to PM2.5 modulate the pro-inflammatory and interferon responses against influenza virus infection in a human 3D bronchial epithelium model

Environmental Pollution, Journal Year: 2024, Volume and Issue: 348, P. 123781 - 123781

Published: March 14, 2024

Language: Английский

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Environmental pollutants particulate matter (PM2.5, PM10), Carbon Monoxide (CO), Nitrogen dioxide (NO2), Sulfur dioxide (SO2), and Ozone (O3) impact on lung functions

Journal of King Saud University - Science, Journal Year: 2024, Volume and Issue: 36(7), P. 103280 - 103280

Published: May 31, 2024

Environmental pollution has been an emerging global public health problem worldwide. This study aimed to investigate the impact of air pollutants particulate matter PM2.5, PM10, Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Sulfur (SO2), and Ozone (O3) on lung functions. In this matched case-control, cross-sectional study, two schools were selected located in different areas, school # 1 was near a traffic-polluted area, 2 area away from area. Of total 300 students, 150 (75 boys 75 girls) students The mean age 13.53 ± 1.20 years. both enrolled their voluntary involvement, status, by age, height, weight, gender, nationality, regional, socioeconomic, cultural background, admission criteria schools. environmental "PM2.5, CO, NO2, SO2, O3" recorded. level 35.00 0.65, significantly higher compared (29.95 0.32). pulmonary function test (PFT) parameters performed electronic Spirometer. included "Forced Vital Capacity (FVC); Forced Expiratory Volume first second (FEV1); Ratio (FEV1/FVC %); Flow 25 % (FEF 50 %) Peak Rate (PEFR) recorded". results revealed that values for FEF-50 (3.31 1.18); FEF-75 (1.66 0.80) PEFR (5.02 1.79) decreased among studying situated motor vehicle polluted those positioned (5.85 6.21) (p = 0.001); (4.49 6.87) 0.001), (8.14 15.08) 0.012). However, groups had no significant difference between FVC, FEV1, FEV1/FVC (%), FEF-25 %. findings further demonstrated pattern impairment peripheral airway involvement amongst placed environmentally contaminated areas. impaired FEF-50%, FEF-75% PEFR, with who studied vehicle-polluted highlight importance implementation effective mitigation strategies promoting sustainable friendly transportation options combat pollution.

Language: Английский

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Associations between PM2.5 Components and Mortality of Ischemic Stroke, Chronic Obstructive Pulmonary Disease and Diabetes in Beijing, China

Toxics, Journal Year: 2024, Volume and Issue: 12(6), P. 381 - 381

Published: May 23, 2024

Ischemic stroke (IS), chronic obstructive pulmonary disease (COPD) and diabetes mellitus (DM) account for a large burden of premature deaths. However, few studies have investigated the associations between fine particular matter (PM2.5) components mortality IS, COPD DM. We aimed to examine these in Beijing, China. Data on daily mortality, air pollutants meteorological factors from 2008 2011 Beijing were collected. Daily concentrations five PM2.5 components, namely, sulfate ion (SO42−), ammonium (NH4+), nitrate (NO3−), organic (OM) black carbon (BC), obtained Tracking Air Pollution (TAP) database The association deaths was explored using quasi-Poisson regression with distributed lag nonlinear model (DLNM). average SO42−, NH4+, NO3−, OM BC 11.24, 8.37, 12.00, 17.34 3.32 μg/m3, respectively. After adjusting temperature, relative humidity, pressure, particulate less than 10 μm aerodynamic diameter (PM10), nitrogen dioxide (NO2) sulfur (SO2), an IQR increase at day 2 6 associated increased DM risk (RR 1.038; 95% CI: 1.005–1.071) 1.013; 1.001–1.026). An 0 1.228; 1.017–1.48, RR 1.059; 1.001–1.121). Cumulative exposure SO42− NH4+ highest effect found 0–7 days 1.085; 1.010–1.167, 1.083; 1.003–1.169). These effects varied by sex age group. This study demonstrated short-term general population. Our also highlighted susceptible subgroups.

Language: Английский

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Effect of fine particulate matter exposure on gestational diabetes mellitus risk: a retrospective cohort study

European Journal of Public Health, Journal Year: 2024, Volume and Issue: 34(4), P. 787 - 793

Published: May 23, 2024

Abstract Background The literature on the association between fine particulate matter (PM2.5) exposure and gestational diabetes mellitus (GDM) risk has focused mainly during first second trimesters, research results are inconsistent. Therefore, this study aimed to investigate associations PM2.5 preconception, trimester GDM in pregnant women Guangzhou. Methods A retrospective cohort of 26 354 was conducted, estimating PM2.5, with a diameter &gt;10 µm (PM10), sulphur dioxide (SO2), carbon monoxide (CO) ozone (O3) preconception trimesters. Analyses were performed using Cox proportional hazards models nonlinear distributed lag models. Results found that or combination two pollutants (PM2.5+PM10, PM2.5+SO2, PM2.5+CO PM2.5+O3) be significantly associated (P &lt; 0.05). In trimester, significant interactions for occupation anaemia GDM. When concentrations ≥19.56, ≥25.69 ≥23.87 μg/m3 respectively, hazard ratio started increase. critical window identified from 9 11 weeks before conception. Conclusions Our suggest trimesters increases GDM, period appearing exposure.

Language: Английский

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The role and mechanism of gut-lung axis mediated bidirectional communication in the occurrence and development of chronic obstructive pulmonary disease

Gut Microbes, Journal Year: 2024, Volume and Issue: 16(1)

Published: Oct. 24, 2024

The current studies have shown that the occurrence and development of chronic obstructive pulmonary disease (COPD) are closely related to changes in gut health its microenvironment, even some diseases significant clinical correlation with COPD. dysbiosis microbiota observed COPD patients also suggests a potential bidirectional interaction between lung. Communication lung may occur through circulating inflammatory cells, microbial metabolites, mediators, but mechanism communication is still under study. Therefore, more research needed this area. In review, we summarize recent animal models on role gut-lung axis mechanisms, so as provide ideas for further field. addition, summarized negative effects medication risk factors proposed prevention treatment strategies.

Language: Английский

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