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1.
Environ Health Perspect ; 113(6): 775-81, 2005 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-15929903

RESUMO

We report the results of a screen for genetic association with urinary arsenic metabolite levels in three arsenic metabolism candidate genes, PNP, GSTO, and CYT19, in 135 arsenic-exposed subjects from the Yaqui Valley in Sonora, Mexico, who were exposed to drinking water concentrations ranging from 5.5 to 43.3 ppb. We chose 23 polymorphic sites to test in the arsenic-exposed population. Initial phenotypes evaluated included the ratio of urinary inorganic arsenic(III) to inorganic arsenic(V) and the ratio of urinary dimethylarsenic(V) to monomethylarsenic(V) (D:M). In the initial association screening, three polymorphic sites in the CYT19 gene were significantly associated with D:M ratios in the total population. Subsequent analysis of this association revealed that the association signal for the entire population was actually caused by an extremely strong association in only the children (7-11 years of age) between CYT19 genotype and D:M levels. With children removed from the analysis, no significant genetic association was observed in adults (18-79 years). The existence of a strong, developmentally regulated genetic association between CYT19 and arsenic metabolism carries import for both arsenic pharmacogenetics and arsenic toxicology, as well as for public health and governmental regulatory officials.


Assuntos
Arsênio/metabolismo , Arsenicais/urina , Glutationa Transferase/genética , Metiltransferases/genética , Polimorfismo Genético , Purina-Núcleosídeo Fosforilase/genética , Poluentes Químicos da Água/metabolismo , Adolescente , Adulto , Idoso , Arsênio/urina , Criança , Monitoramento Ambiental , Feminino , Genótipo , Humanos , Masculino , Metilação , México , Pessoa de Meia-Idade , Dados de Sequência Molecular , Poluentes Químicos da Água/urina , Abastecimento de Água
2.
Environ Res ; 96(2): 119-26, 2004 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-15325872

RESUMO

The objective of this study was to determine arsenic exposure via drinking water and to characterize urinary arsenic excretion among adults in the Yaqui Valley, Sonora, Mexico. A cross-sectional study was conducted from July 2001 to May 2002. Study subjects were from the Yaqui Valley, Sonora, Mexico, residents of four towns with different arsenic concentrations in their drinking water. Arsenic exposure was estimated through water intake over 24 h. Arsenic excretion was assessed in the first morning void urine. Total arsenic concentrations and their species arsenate (As V), arsenite (As III), monomethyl arsenic (MMA), and dimethyl arsenic (DMA) were determined by HPLC/ICP-MS. The town of Esperanza with the highest arsenic concentration in water had the highest daily mean intake of arsenic through drinking water, the mean value was 65.5 microg/day. Positive correlation between total arsenic intake by drinking water/day and the total arsenic concentration in urine (r = 0.50, P < 0.001) was found. Arsenic excreted in urine ranged from 18.9 to 93.8 microg/L. The people from Esperanza had the highest geometric mean value of arsenic in urine, 65.1 microg/L, and it was statistically significantly different from those of the other towns (P < 0.005). DMA was the major arsenic species in urine (47.7-67.1%), followed by inorganic arsenic (16.4-25.4%), and MMA (7.5-15%). In comparison with other reports the DMA and MMA distribution was low, 47.7-55.6% and 7.5-9.7%, respectively, in the urine from the Yaqui Valley population (except the town of Cocorit). The difference in the proportion of urinary arsenic metabolites in those towns may be due to genetic polymorphisms in the As methylating enzymes of these populations.


Assuntos
Arsênio/urina , Exposição Ambiental , Poluentes Químicos da Água/urina , Abastecimento de Água/análise , Adolescente , Adulto , Arseniatos/urina , Intoxicação por Arsênico/etiologia , Intoxicação por Arsênico/urina , Arsenicais/urina , Arsenitos/urina , Ácido Cacodílico/urina , Feminino , Humanos , Masculino , México , Pessoa de Meia-Idade , Estatísticas não Paramétricas
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