{"title":"碳纳米管和细长矿物颗粒间皮致癌性的经验度量。","authors":"Andrey A Korchevskiy, Ann G Wylie","doi":"10.1080/08958378.2025.2486087","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Carcinogenic potential of elongate particles depends on many characteristics, with dimensional parameters playing an important role at all stages of disease origination and progression. It is important to develop quantitative metrics of mesothelial carcinogenicity for particles in order to predict their behavior within biological systems. It would be especially valuable if such metrics could be developed for both carbon nanotubes (CNTs) and elongate mineral particles (EMPs) to demonstrate similarities and differences in the estimations of mesothelioma risk.</p><p><strong>Methods: </strong>The database is organized with dimensional characteristics of EMPs, containing 570,950 records for 246 asbestiform, non-asbestiform, and mixed datasets. A database on carbon nanotubes (CNTs) with various toxicological outcomes of animal experiments, including mesothelioma, was also created. Mathematical modeling was used to determine the best metric of mesotheliomagenicity that would work for CNTs and EMPs.</p><p><strong>Results: </strong>The dimensional coefficient of carcinogenicity (DCC) was introduced with the formula DCC = 1-exp(-AxSA/(BxWidth<sup>3</sup>+C)), where SA - surface area of the elongate particle, Width - particle width, A, B, C - coefficients. It was demonstrated that DCC can efficiently determine mesotheliomagenic varieties of CNTs and EMPs, with a threshold for carcinogenic potential of 0.05 with <i>A</i> = 0.11, <i>B</i> = 1000, <i>C</i> = 1.</p><p><strong>Discussion: </strong>The new quantitative metric of carcinogenicity can be used for the purposes of mineralogical evaluation and toxicological analysis. It was confirmed that DCC-based models predict negligible mesothelioma potency for non-asbestiform amphiboles.</p>","PeriodicalId":13561,"journal":{"name":"Inhalation Toxicology","volume":" ","pages":"1-26"},"PeriodicalIF":2.0000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The empirical metric of mesothelial carcinogenicity for carbon nanotubes and elongate mineral particles.\",\"authors\":\"Andrey A Korchevskiy, Ann G Wylie\",\"doi\":\"10.1080/08958378.2025.2486087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Carcinogenic potential of elongate particles depends on many characteristics, with dimensional parameters playing an important role at all stages of disease origination and progression. It is important to develop quantitative metrics of mesothelial carcinogenicity for particles in order to predict their behavior within biological systems. It would be especially valuable if such metrics could be developed for both carbon nanotubes (CNTs) and elongate mineral particles (EMPs) to demonstrate similarities and differences in the estimations of mesothelioma risk.</p><p><strong>Methods: </strong>The database is organized with dimensional characteristics of EMPs, containing 570,950 records for 246 asbestiform, non-asbestiform, and mixed datasets. A database on carbon nanotubes (CNTs) with various toxicological outcomes of animal experiments, including mesothelioma, was also created. Mathematical modeling was used to determine the best metric of mesotheliomagenicity that would work for CNTs and EMPs.</p><p><strong>Results: </strong>The dimensional coefficient of carcinogenicity (DCC) was introduced with the formula DCC = 1-exp(-AxSA/(BxWidth<sup>3</sup>+C)), where SA - surface area of the elongate particle, Width - particle width, A, B, C - coefficients. It was demonstrated that DCC can efficiently determine mesotheliomagenic varieties of CNTs and EMPs, with a threshold for carcinogenic potential of 0.05 with <i>A</i> = 0.11, <i>B</i> = 1000, <i>C</i> = 1.</p><p><strong>Discussion: </strong>The new quantitative metric of carcinogenicity can be used for the purposes of mineralogical evaluation and toxicological analysis. 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引用次数: 0
摘要
简介:细长颗粒的致癌潜力取决于许多特征,尺寸参数在疾病发生和发展的各个阶段都起着重要作用。为了预测颗粒在生物系统中的行为,开发颗粒间皮致癌性的定量指标是很重要的。如果可以为碳纳米管(CNTs)和细长矿物颗粒(EMPs)开发这样的指标,以证明间皮瘤风险估计的相似性和差异性,这将特别有价值。方法:根据emp的维度特征组织数据库,包含246个石棉、非石棉和混合数据集的570,950条记录。此外,还建立了一个关于碳纳米管(CNTs)的各种动物实验毒理学结果(包括间皮瘤)的数据库。采用数学模型来确定适用于CNTs和emp的间皮成形性的最佳指标。结果:引入致癌性尺寸系数(DCC),公式为DCC = 1-exp(- axsa /(BxWidth3+C)),其中SA -细长颗粒表面积,Width -颗粒宽度,A、B、C -系数。结果表明,DCC可以有效地检测CNTs和EMPs的间皮瘤变异,当a = 0.11, B = 1000, C = 1时,其致癌潜力阈值为0.05。讨论:新的致癌性定量指标可用于矿物学评价和毒理学分析。经证实,基于dcc的模型预测非石棉角闪石的间皮瘤潜能可以忽略不计。
The empirical metric of mesothelial carcinogenicity for carbon nanotubes and elongate mineral particles.
Introduction: Carcinogenic potential of elongate particles depends on many characteristics, with dimensional parameters playing an important role at all stages of disease origination and progression. It is important to develop quantitative metrics of mesothelial carcinogenicity for particles in order to predict their behavior within biological systems. It would be especially valuable if such metrics could be developed for both carbon nanotubes (CNTs) and elongate mineral particles (EMPs) to demonstrate similarities and differences in the estimations of mesothelioma risk.
Methods: The database is organized with dimensional characteristics of EMPs, containing 570,950 records for 246 asbestiform, non-asbestiform, and mixed datasets. A database on carbon nanotubes (CNTs) with various toxicological outcomes of animal experiments, including mesothelioma, was also created. Mathematical modeling was used to determine the best metric of mesotheliomagenicity that would work for CNTs and EMPs.
Results: The dimensional coefficient of carcinogenicity (DCC) was introduced with the formula DCC = 1-exp(-AxSA/(BxWidth3+C)), where SA - surface area of the elongate particle, Width - particle width, A, B, C - coefficients. It was demonstrated that DCC can efficiently determine mesotheliomagenic varieties of CNTs and EMPs, with a threshold for carcinogenic potential of 0.05 with A = 0.11, B = 1000, C = 1.
Discussion: The new quantitative metric of carcinogenicity can be used for the purposes of mineralogical evaluation and toxicological analysis. It was confirmed that DCC-based models predict negligible mesothelioma potency for non-asbestiform amphiboles.
期刊介绍:
Inhalation Toxicology is a peer-reviewed publication providing a key forum for the latest accomplishments and advancements in concepts, approaches, and procedures presently being used to evaluate the health risk associated with airborne chemicals.
The journal publishes original research, reviews, symposia, and workshop topics involving the respiratory system’s functions in health and disease, the pathogenesis and mechanism of injury, the extrapolation of animal data to humans, the effects of inhaled substances on extra-pulmonary systems, as well as reliable and innovative models for predicting human disease.