Literature DB >> 11067778

The proportions of mutagens among chemicals in commerce.

E Zeiger1, B H Margolin.   

Abstract

It has been estimated that there are approximately 80,000 chemicals in commerce. Thus, it is not possible to test all these substances for mutagenicity and carcinogenicity; it is possible, however, to test or make estimates from selected subsets of these chemicals. For example, in the U.S. National Toxicology Program (NTP), 35% of the chemicals tested for mutagenicity in Salmonella were positive, as were 52% of the chemicals tested for carcinogenicity in rodents. In contrast, in the U.S. EPA Gene-Tox database, the proportions of chemicals that are Salmonella mutagens is 56%. These and other databases may be biased toward positive responses because they generally have been developed to look at specific structural or use classes of chemicals or chemicals suspected of genetic or carcinogenic activity. To address the question of the proportions of mutagens among all chemicals in commerce, a database of 100 chemicals was created from a random selection of chemicals in commerce. These chemicals were tested for mutagenicity in Salmonella and 22% were mutagenic. The mutagenicity of the 46 highest U.S. production organic chemicals was also compiled; 20% were mutagenic. These values provide a more accurate estimate of the proportions of mutagens among chemicals in commerce than can be derived from published mutagenicity databases. Copyright 2000 Academic Press.

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Year:  2000        PMID: 11067778     DOI: 10.1006/rtph.2000.1422

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  6 in total

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3.  Intersection of toxicogenomics and high throughput screening in the Tox21 program: an NIEHS perspective.

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Review 4.  The Salmonella mutagenicity assay: the stethoscope of genetic toxicology for the 21st century.

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5.  Estimating the extent of the health hazard posed by high-production volume chemicals.

Authors:  A R Cunningham; H S Rosenkranz
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6.  Improvement of quantitative structure-activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project.

Authors:  Masamitsu Honma; Airi Kitazawa; Alex Cayley; Richard V Williams; Chris Barber; Thierry Hanser; Roustem Saiakhov; Suman Chakravarti; Glenn J Myatt; Kevin P Cross; Emilio Benfenati; Giuseppa Raitano; Ovanes Mekenyan; Petko Petkov; Cecilia Bossa; Romualdo Benigni; Chiara Laura Battistelli; Alessandro Giuliani; Olga Tcheremenskaia; Christine DeMeo; Ulf Norinder; Hiromi Koga; Ciloy Jose; Nina Jeliazkova; Nikolay Kochev; Vesselina Paskaleva; Chihae Yang; Pankaj R Daga; Robert D Clark; James Rathman
Journal:  Mutagenesis       Date:  2019-03-06       Impact factor: 3.000

  6 in total

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