Arachidonic acid metabolism and inflammatory biomarkers associated with exposure to polycyclic aromatic hydrocarbons

Environmental Research, Journal Year: 2022, Volume and Issue: 212, P. 113498 - 113498

Published: May 22, 2022

Exposure to polycyclic aromatic hydrocarbons (PAHs) has been associated with systemic inflammation, yet what mechanisms regulate PAHs' inflammatory effects are less understood. This study evaluated the change of arachidonic acid (ARA) metabolites and biomarkers in response increased exposure PAHs among 26 non-smoking healthy travelers from Los Angeles Beijing. Traveling Beijing significantly urinary dibenzofuran (800%), fluorene (568%), phenanthrene (277%), pyrene (176%), accompanied C-reactive protein, fibrinogen, IL-8, IL-10, decreased MCP-1, sCD40L, sCD62P levels blood. Meanwhile, travel ARA lipoxygenase that were positively a panel pro-inflammatory biomarkers. Concentrations cytochrome P450 metabolite also negatively levels. In contrast, concentrations cyclooxygenase anti-inflammatory IL-10 Changes both reversed 4-7 weeks after participants returned PAH metabolites, but not other exposures such as secondhand smoke, stress, or diet. These results suggested possible roles metabolic alteration PAHs-associated effects.

Language: Английский

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Catalyst-Free Oxidation Reactions in a Microwave Plasma Torch-Based Ion/Molecular Reactor: An Approach for Predicting the Atmospheric Oxidation of Pollutants

Analytical Chemistry, Journal Year: 2022, Volume and Issue: 95(3), P. 2004 - 2010

Published: Dec. 23, 2022

The atmospheric oxidation of chemicals has produced many new unpredicted pollutants. A microwave plasma torch-based ion/molecular reactor (MPTIR) interfacing an online mass spectrometer been developed for creating and monitoring rapid reactions. Oxygen in the air is activated by into highly reactive oxygen radicals, thereby achieving thioethers, alcohols, various environmental pollutants on a millisecond scale without addition external oxidants or catalysts (6 orders magnitude faster than bulk). direct real-time products polycyclic aromatic hydrocarbons p-phenylenediamines from MPTIR match those long-term multistep oxidative process. Meanwhile, two unreported compounds were identified with measured actual water samples, which demonstrates considerable significance proposed device both predicting (non-target screening) studying mechanism processes.

Language: Английский

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Nontargeted Identification of Organic Components in Fine Particulate Matter Related to Lung Tumor Metastasis Based on an Adverse Outcome Pathway Strategy

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 19, 2024

Emerging studies implicate fine particulate matter (PM2.5) and its organic components (OCs) as urgent hazard factors for lung cancer progression in nonsmokers. Establishing the adverse outcome pathway (AOP)-directed nontargeted identification method, this study aimed to explore whether PM2.5 exposure coal-burning areas promoted tumor metastasis how we identify effective OCs support traceability control of regional pollution. First, used a nude mouse model found that significantly hematogenous metastases A549-Luc cells tissues outcomes (AOs), with key events (KEs) including changed expression epithelial–mesenchymal transition (EMT) markers, such suppression E-cad increased Fib. Subsequently, using AOs KEs directors, identified total 35 candidate chemicals based on vitro analysis. Among them, tributyl phosphate (C12H27O4P), 2-bromotetradecane (C14H29Br), methyl decanoate (C11H22O2) made greater contributions AOs. Finally, clarified interactions between these EMT-activating transcription (EMT-ATFs) molecular initiation event (MIE) feasibility above strategy. The present updates new framework identifying metastasis-promoting provides solid data screening out need priority polluted posing higher risk.

Language: Английский

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PAH-Finder: A Pattern Recognition Workflow for Identification of PAHs and Their Derivatives

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Polycyclic aromatic hydrocarbons (PAHs) are pervasive environmental pollutants with significant health risks due to their carcinogenic, mutagenic, and teratogenic properties. Traditional methods for PAH identification, primarily relying on gas chromatography–mass spectrometry (GC–MS), utilize spectral library searches together other techniques, such as mass defect analysis. However, these limited by incomplete libraries a high false positive rate. Here, we present PAH-Finder, data-driven workflow that integrates machine learning high-resolution (HRMS). PAH-Finder introduces novel approach evaluate the fragment distribution of backbones in MS spectra normalizing m/z values 0–100% range relative molecular ion peak. Seven features capture fragmentation characteristics, random forest model trained 98 1003 background achieved an F1 score ∼0.9 5-fold cross validation. Additionally, leverages presence doubly charged fragments formula prediction enhance identification accuracy. In case study, identified 135 PAHs, including 7 types previously unreported formulas particulate matter samples, demonstrating 246% increase annotation efficiency compared NIST20 search. It also 32 heteroatom-doped PAHs not included training data set, showcasing its robustness generalization. PAH-Finder's accuracy detecting broad spectrum facilitates efficient processing interpretation nontargeted analysis, enhancing our understanding air pollution public protection. is freely available at Github (https://github.com/FangLabNTU/PAH-Finder).

Language: Английский

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Prenatal PM2.5 exposure affects embryonic hematopoietic development through SOX2-regulated gene expression

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 487, P. 137193 - 137193

Published: Jan. 16, 2025

Language: Английский

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