RESUMO
ABSTRACT The aim of this study was to evaluate the possible protective of C. guianensis oil against MMC and CP, which are direct- and indirect-acting chemical mutagens, using the micronucleus test. Three experiments were performed. First the C. guianensis oil was co-administered to mice at doses of 250, 500 and 1000 mg/kg bw with 4 mg/kg bw MMC or 50 mg/kg bw CP. Second, the mutagenic drug (CP) was administered ip 50 mg/kg bw and after 6 and 12 hours 250 and 500 mg/kg bw of C. guianensis oil were administered. In the last, C. guianensis oil was administrated (250 and 500 mg/kg bw) during five days and after it was administered ip 50 mg/kg bw CP. The results obtained showed that the C. guianensis oil is not cytotoxic neither genotoxic to mouse bone marrow. Regarding the antimutagenic effect, all doses of C. guianensis oil were significantly (p < 0.05) effective in reducing the frequency of micronucleated polychromatic erythrocytes, when compared with MMC or CP alone. Based on these results, our results suggest that the C. guianensis oil shows medicinal potential as an antimutagenic agent, modulating the mutagenicity caused by both direct- and indirect-acting chemical mutagens, in a mammalian model.
Assuntos
Animais , Masculino , Ratos , Óleos de Plantas/farmacologia , Células da Medula Óssea/efeitos dos fármacos , Mitomicina/antagonistas & inibidores , Antimutagênicos/farmacologia , Meliaceae , Extratos Vegetais/farmacologia , Ciclofosfamida/antagonistas & inibidores , Modelos Animais de DoençasRESUMO
The aim of this report was to detect full-sized P element sequences in eight strains of Drosophila sturtevanti populations from distant geographic regions and to assess the structural geographic variation among P element sequences. PCR analysis confirmed the presence of a putative complete P element in all strains. Southern blot analysis indicated bands shared by all strains, and bands restricted to geographically related strains. Parsimony analysis corroborated the hybridization pattern that reflected the geographic relationships