ArticleRespirology (Carlton, Vic.)2022
Effects of chemical composition on the lung cell response to coal particles: Implications for coal workers' pneumoconiosis.
Article in Respirology (Carlton, Vic.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 31 citations in OpenAlex.
- Blood Marker-Based Machine Learning Model for Survival Prediction in Patients with Pneumoconiosis: Construction and External Validation.Journal of inflammation research · 2026Article
- Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers' Pneumoconiosis: An Insight into Disease Progression.Journal of proteome research · 2025Article
- Machine Learning Demonstrates Dominance of Physical Characteristics over Particle Composition in Coal Dust Toxicity.Environmental science & technology · 2024Article
- The impact of coal mine dust characteristics on pathways to respiratory harm: investigating the pneumoconiotic potency of coals.Environmental geochemistry and health · 2023Review
- The dangerous link between coal dust exposure and DNA damage: unraveling the role of some of the chemical agents and oxidative stress.Environmental geochemistry and health · 2023Article
- The dependence of particle size on cell toxicity for modern mining dust.Scientific reports · 2023Article
- Suppression Characteristics and Mechanism of Molasses Solution on Coal Dust: A Low-Cost and Environment-Friendly Suppression Method in Coal Mines.International journal of environmental research and public health · 2022Article
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- Effects of chemical composition on the lung cell response to coal particles: Implications for coal workers' pneumoconiosis.Respirology (Carlton, Vic.) · 2022Article
Corrections and comments
- Erratum issuedCorrigendum.2023
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveCoal mine dust has a complex and heterogeneous chemical composition. It has been suggested that coal particle chemistry plays a critical role in determining the pathogenesis of coal workers' pneumoconiosis (CWP). In this study, we aimed to establish the association between the detrimental cellular response and the chemical composition of coal particles.
methodsWe sourced 19 real-world coal samples. Samples were crushed prior to use to minimize the impact of particle size on the response and to ensure the particles were respirable. Key chemical components and inorganic compounds were quantified in the coal samples. The cytotoxic, inflammatory and pro-fibrotic responses in epithelial cells, macrophages and fibroblasts were assessed following 24 h of exposure to coal particles. Principal component analysis (PCA) and stepwise regression were used to determine which chemical components of the coal particles were associated with the cell response.
resultsThe cytotoxic, inflammatory and pro-fibrotic response varied considerably between coal samples. There was a high level of collinearity in the cell responses and between the chemical compounds within the coal samples. PCA identified three factors that explained 75% of the variance in the cell response. Stepwise multiple regression analysis identified K
conclusionOur data clearly demonstrate that the detrimental cellular effects of exposure to coal mine dusts are highly dependent on particle chemistry. This has implications for understanding the pathogenesis of CWP.
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