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1.
Food Chem Toxicol ; 45(1): 55-63, 2007 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-16965847

RESUMO

A six-month study was conducted in p53(+/-) mice to evaluate the possible oncogenicity of resveratrol (3,5,4'-trihydroxy-trans-stilbene), a cancer chemopreventive agent present in grapes and other foods. p53(+/-) mice (25/sex/group) received daily gavage exposure to vehicle only (negative control), resveratrol doses of 1000, 2000, or 4000 mg/kg/day, or p-cresidine (400 mg/kg/day; positive control). No mortality was seen in mice receiving the low dose of resveratrol. However, the mid and high doses induced mortality associated with impaction of the test article in the gastrointestinal tract. Resveratrol had no effect on body weight, food consumption, or clinical signs in surviving mice in any dose group, but induced dose-related increases in liver weight and serum cholesterol in both sexes. Mild anemia was seen in male mice at the high dose only; hematologic effects were not seen in females. Histopathology identified the kidney (hydronephrosis) and urinary bladder (epithelial hyperplasia) as target tissues for resveratrol toxicity. The incidences of both benign and malignant tumors in mice exposed to resveratrol were comparable to those in vehicle controls. By contrast, the positive control article, p-cresidine, induced urinary bladder cancer in both sexes. When administered to p53(+/-) mice at its maximum tolerated dose, resveratrol demonstrates no evidence of oncogenicity.


Assuntos
Anticarcinógenos/toxicidade , Carcinógenos/toxicidade , Estilbenos/toxicidade , Proteína Supressora de Tumor p53/genética , Administração Oral , Anemia/induzido quimicamente , Anemia/patologia , Compostos de Anilina/toxicidade , Animais , Anticarcinógenos/farmacocinética , Testes de Carcinogenicidade , Carcinógenos/farmacocinética , Quimioprevenção , Colesterol/sangue , Relação Dose-Resposta a Droga , Feminino , Hidronefrose/induzido quimicamente , Hidronefrose/patologia , Rim/efeitos dos fármacos , Rim/patologia , Fígado/efeitos dos fármacos , Fígado/patologia , Longevidade/efeitos dos fármacos , Masculino , Camundongos , Camundongos Endogâmicos C57BL , Camundongos Knockout , Tamanho do Órgão/efeitos dos fármacos , Resveratrol , Estilbenos/farmacocinética , Proteína Supressora de Tumor p53/deficiência , Bexiga Urinária/efeitos dos fármacos , Bexiga Urinária/patologia
2.
Chirality ; 9(2): 178-83, 1997.
Artigo em Inglês | MEDLINE | ID: mdl-9134695

RESUMO

A series of 12 chiral arylcarboxylic acids were chromatographed on an immobilized human serum albumin chiral stationary phase (HSA-CSP). The effects of solute structure on chromatographic retentions and enantioselective separations were examined by linear regression analysis and the construction of quantitative structure-enantioselective retention relationships. Competitive displacement studies were also conducted using R-ibuprofen as the displacing agent. The results indicate that the enantioselective retention of the solutes takes place at the indole-benzodiazepine site (site II) on the HSA molecule and that chiral recognition is affected by the hydrophobicity and steric volume of the solutes. The displacement studies also identified a cooperative allosteric interaction induced by the binding of R-ibuprofen to site II.


Assuntos
Ácidos Carboxílicos/isolamento & purificação , Albumina Sérica/química , Sítios de Ligação , Ligação Competitiva , Fenômenos Químicos , Físico-Química , Cromatografia Líquida de Alta Pressão , Humanos , Modelos Moleculares , Solventes , Estereoisomerismo
3.
Anal Chem ; 69(19): 3879-83, 1997 Oct 01.
Artigo em Inglês | MEDLINE | ID: mdl-21639207

RESUMO

A new method for the prediction and description of enantioselective separations on HPLC chiral stationary phases (CSPs) is described. Based on the combination of multivariate regression and neural networks, the method was successfully applied to the separation of a series of 29 aromatic acids and amides, chromatographed on three amylosic CSPs. Combinations of charge transfer, electrostatic, lipophilic, and dipole interactions, identified by multivariate regression, were found to describe retention and enantioselectivity, with highly predictive models being generated by the training of back-propagation neural networks.

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