ArticleToxicology reports2025
Habit of elongate amphibole particles as a predictor of mesothelial carcinogenicity.
Article in Toxicology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Cleavage fragments and asbestos fibers: better characterization of minerals and improved cell models are needed to elucidate toxicity differences.Archives of toxicology · 2025Article
- Critical values for dimensional parameters of mesotheliomagenic mineral fibers: evidence from the dimensions and rigidity of MWCNT.Frontiers in toxicology · 2025Article
- Comparison of various methodological approaches to model asbestos thresholds for mesothelioma.Frontiers in public health · 2025Review
- Application of artificial intelligence in the analysis of asbestos fibers.Frontiers in public health · 2025Review
- Size-dependent retention of elongate mineral particles in human lungs: modeling and implications for risk assessment.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Amphiboles are a class of minerals that are abundantly present in the environment. Amphiboles may exist in several habits, with asbestiform particles behaving like typical amphibole asbestos and non-asbestiform (or massive) reported to be less biologically active. Materials and methods: The available dimensional information for 16 testing sets (8 asbestiform and 8 non-asbestiform types of tremolite) was combined. In addition, three validation sets (an asbestiform sample from Eastern New York and non-asbestiform samples from Quebec and Falls Village, Connecticut) were tested by Transmission Electron Microscopy (TEM) to determine dimensional distribution. Mathematical modeling was utilized to determine the classification method for amphiboles with various habits. Results: The decision boundary method was developed to distinguish asbestiform vs. non-asbestiform samples (with error rate of 0 % for single-sourced tremolite and 3 % for potentially mixed samples). All validation datasets were correctly classified. A new empirical dimensional coefficient of carcinogenicity (DCC) was proposed, with DCC = 1 - exp(-0.11 Surface Area /(1000width Conclusions: The habit of amphibole particles is predictive of biological behavior that can be estimated from the dimensional data for the particles.
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Registered trials
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