{"title":"混合矿物纤维暴露的毒理学和流行病学方法致癌效力建模:纤维巴铁石和温石棉的案例。","authors":"Andrey A Korchevskiy, Ann G Wylie","doi":"10.1080/08958378.2023.2213720","DOIUrl":null,"url":null,"abstract":"<p><strong>Context: </strong>Excess mesothelioma risk was observed among chrysotile miners and millers in Balangero, Italy. The mineral balangeroite has been identified in an asbestiform habit from the Balangero chrysotile mine (Italy). Previous studies did not contain a detailed description of the fiber dimensions, thus limiting possible approaches to estimating their carcinogenic potential.</p><p><strong>Objectives: </strong>To reconstruct excess mesothelioma risk based on characteristics of mixed fiber exposure.</p><p><strong>Methods: </strong>The lengths and widths of particles from a sample of balangeroite were measured by transmission electron microscopy (TEM). Statistical analysis and modeling were applied to assess the toxicological potential of balangeroite.</p><p><strong>Results: </strong>Balangeroite fibers are characterized as asbestiform, with geometric mean length of 10 μm, width of 0.54 μm, aspect ratio of 19, and specific surface area of 13.8 (1/μm). Proximity analysis shows dimensional characteristics of balangeroite close to asbestiform anthophyllite. Modeling estimates the average potency of balangeroite as 0.04% (95% CI 0.0058, 0.16) based on dimensional characteristics and 0.05% (95% CI-0.04, 0.24) based on epidemiological data. The available estimate of the fraction of balangeroite in the Balangero mine is very approximate. There were no data for airborne balangeroite fibers from the Balangero mine and no lung burden data are available. All estimates were performed using weight fractions of balangeroite and chrysotile. However, based on reasonable assumptions, of the seven cases of mesothelioma in the cohort, about three cases (43%) can be attributed to fibrous balangeroite.</p><p><strong>Conclusion: </strong>The presence of different types of mineral fibers in aerosolized materials even in small proportions can explain observed cancer risks.</p>","PeriodicalId":13561,"journal":{"name":"Inhalation Toxicology","volume":"35 7-8","pages":"185-200"},"PeriodicalIF":2.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toxicological and epidemiological approaches to carcinogenic potency modeling for mixed mineral fiber exposure: the case of fibrous balangeroite and chrysotile.\",\"authors\":\"Andrey A Korchevskiy, Ann G Wylie\",\"doi\":\"10.1080/08958378.2023.2213720\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Context: </strong>Excess mesothelioma risk was observed among chrysotile miners and millers in Balangero, Italy. The mineral balangeroite has been identified in an asbestiform habit from the Balangero chrysotile mine (Italy). Previous studies did not contain a detailed description of the fiber dimensions, thus limiting possible approaches to estimating their carcinogenic potential.</p><p><strong>Objectives: </strong>To reconstruct excess mesothelioma risk based on characteristics of mixed fiber exposure.</p><p><strong>Methods: </strong>The lengths and widths of particles from a sample of balangeroite were measured by transmission electron microscopy (TEM). Statistical analysis and modeling were applied to assess the toxicological potential of balangeroite.</p><p><strong>Results: </strong>Balangeroite fibers are characterized as asbestiform, with geometric mean length of 10 μm, width of 0.54 μm, aspect ratio of 19, and specific surface area of 13.8 (1/μm). Proximity analysis shows dimensional characteristics of balangeroite close to asbestiform anthophyllite. Modeling estimates the average potency of balangeroite as 0.04% (95% CI 0.0058, 0.16) based on dimensional characteristics and 0.05% (95% CI-0.04, 0.24) based on epidemiological data. The available estimate of the fraction of balangeroite in the Balangero mine is very approximate. There were no data for airborne balangeroite fibers from the Balangero mine and no lung burden data are available. All estimates were performed using weight fractions of balangeroite and chrysotile. However, based on reasonable assumptions, of the seven cases of mesothelioma in the cohort, about three cases (43%) can be attributed to fibrous balangeroite.</p><p><strong>Conclusion: </strong>The presence of different types of mineral fibers in aerosolized materials even in small proportions can explain observed cancer risks.</p>\",\"PeriodicalId\":13561,\"journal\":{\"name\":\"Inhalation Toxicology\",\"volume\":\"35 7-8\",\"pages\":\"185-200\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Inhalation Toxicology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/08958378.2023.2213720\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TOXICOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Inhalation Toxicology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/08958378.2023.2213720","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TOXICOLOGY","Score":null,"Total":0}
Toxicological and epidemiological approaches to carcinogenic potency modeling for mixed mineral fiber exposure: the case of fibrous balangeroite and chrysotile.
Context: Excess mesothelioma risk was observed among chrysotile miners and millers in Balangero, Italy. The mineral balangeroite has been identified in an asbestiform habit from the Balangero chrysotile mine (Italy). Previous studies did not contain a detailed description of the fiber dimensions, thus limiting possible approaches to estimating their carcinogenic potential.
Objectives: To reconstruct excess mesothelioma risk based on characteristics of mixed fiber exposure.
Methods: The lengths and widths of particles from a sample of balangeroite were measured by transmission electron microscopy (TEM). Statistical analysis and modeling were applied to assess the toxicological potential of balangeroite.
Results: Balangeroite fibers are characterized as asbestiform, with geometric mean length of 10 μm, width of 0.54 μm, aspect ratio of 19, and specific surface area of 13.8 (1/μm). Proximity analysis shows dimensional characteristics of balangeroite close to asbestiform anthophyllite. Modeling estimates the average potency of balangeroite as 0.04% (95% CI 0.0058, 0.16) based on dimensional characteristics and 0.05% (95% CI-0.04, 0.24) based on epidemiological data. The available estimate of the fraction of balangeroite in the Balangero mine is very approximate. There were no data for airborne balangeroite fibers from the Balangero mine and no lung burden data are available. All estimates were performed using weight fractions of balangeroite and chrysotile. However, based on reasonable assumptions, of the seven cases of mesothelioma in the cohort, about three cases (43%) can be attributed to fibrous balangeroite.
Conclusion: The presence of different types of mineral fibers in aerosolized materials even in small proportions can explain observed cancer risks.
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.