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1.
Artículo en Inglés | MEDLINE | ID: mdl-32522347

RESUMEN

Recent years have witnessed an expansion of mutagenesis research focusing on experimentally modeled genome-scale mutational signatures of carcinogens and of endogenous processes. Experimental mutational signatures can explain etiologic links to patterns found in human tumors that may be linked to same exposures, and can serve as biomarkers of exposure history and may even provide insights on causality. A number of innovative exposure models have been employed and reported, based on cells cultured in monolayers or in 3-D, on organoids, induced pluripotent stem cells, non-mammalian organisms, microorganisms and rodent bioassays. Here we discuss some of the latest developments and pros and cons of these experimental systems used in mutational signature analysis. Integrative designs that bring together multiple exposure systems (in vitro, in vivo and in silico pan-cancer data mining) started emerging as powerful tools to identify robust mutational signatures of the tested cancer risk agents. We further propose that devising a new generation of cell-based models is warranted to streamline systematic testing of carcinogen effects on the cell genomes, while seeking to increasingly supplant animal with non-animal systems to address relevant ethical issues and accentuate the 3R principles. We conclude that the knowledge accumulating from the growing body of signature modelling investigations has considerable power to advance cancer etiology studies and to support cancer prevention efforts through streamlined characterization of cancer-causing agents and the recognition of their specific effects.


Asunto(s)
Carcinógenos/toxicidad , Mutagénesis/efectos de los fármacos , Mutación/efectos de los fármacos , Neoplasias/inducido químicamente , Animales , Análisis Mutacional de ADN/métodos , Genoma Humano/efectos de los fármacos , Genoma Humano/genética , Humanos , Mutagénesis/genética , Mutación/genética
2.
Environ Sci Pollut Res Int ; 24(23): 18782-18797, 2017 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-28620855

RESUMEN

In this work, the main objectives were to assess the mutagenic and genotoxic effects of fine particulate matter collected in an industrial influenced site in comparison with a non-industrial influenced one (rural site) and to relate the particulate matter (PM) composition to the observed genotoxic effects. At the industrial influenced site, higher concentrations of phosphates, trace metals, and polycyclic aromatic hydrocarbons (PAHs) in particles could be related to the contributions of quarries, fertilizer producer, cement plants, and tires burning. Gasoline and diesel combustion contributions were evidenced in particles collected at both sites. Particles collected under industrial influence showed a higher mutagenic potential on three tested strains of Salmonella typhimurium (TA98, YG1041, and TA102), and especially on the YG1041, compared to particles from the rural site. Furthermore, only particles collected in the vicinity of the industrial site showed a tendency to activate the SOS responses in Escherichia coli PQ37, which is indicative of DNA damage as a result of exposure of the bacteria cells to the action of mutagenic samples. The mutagenicity and genotoxicity of the industrial PM2.5-0.3 particulates may be attributed to its composition especially in organic compounds. This study showed that proximity of industries can affect local PM composition as well as PM genotoxic and mutagenic potential.


Asunto(s)
Contaminantes Atmosféricos/toxicidad , Daño del ADN , Monitoreo del Ambiente/métodos , Desarrollo Industrial , Mutágenos/toxicidad , Material Particulado/toxicidad , Contaminantes Atmosféricos/análisis , Contaminantes Atmosféricos/química , Escherichia coli/efectos de los fármacos , Escherichia coli/genética , Líbano , Pruebas de Mutagenicidad , Mutágenos/análisis , Mutágenos/química , Tamaño de la Partícula , Material Particulado/análisis , Material Particulado/química , Salmonella typhimurium/efectos de los fármacos , Salmonella typhimurium/genética , Propiedades de Superficie
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