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1.
Biochem Pharmacol ; 71(7): 910-8, 2006 Mar 30.
Artículo en Inglés | MEDLINE | ID: mdl-16427026

RESUMEN

The world of antibiotic drug discovery and development is driven by the necessity to overcome antibiotic resistance in common Gram-positive and Gram-negative pathogens. However, the lack of Gram-negative activity among both recently approved antibiotics and compounds in the developmental pipeline is a general trend despite the fact that the plethora of covered drug targets are well-conserved across the bacterial kingdom. Such intrinsic resistance in Gram-negative bacteria is largely attributed to the activity of multidrug resistance (MDR) efflux pumps. Moreover, these pumps also play a significant role in acquired clinical resistance. Together, these considerations make efflux pumps attractive targets for inhibition in that the resultant efflux pump inhibitor (EPI)/antibiotic combination drug should exhibit increased potency, enhanced spectrum of activity and reduced propensity for acquired resistance. To date, at least one class of broad-spectrum EPI has been extensively characterized. While these efforts indicated a significant potential for developing small molecule inhibitors against efflux pumps, they did not result in a clinically useful compound. Stemming from the continued clinical pressure for novel approaches to combat drug resistant bacterial infections, second-generation programs have been initiated and show early promise to significantly improve the clinical usefulness of currently available and future antibiotics against otherwise recalcitrant Gram-negative infections. It is also apparent that some changes in regulatory decision-making regarding resistance would be very helpful in order to facilitate approval of agents aiming to reverse resistance and prevent its further development.


Asunto(s)
Antibacterianos/farmacología , Farmacorresistencia Bacteriana Múltiple/efectos de los fármacos , Bacterias Gramnegativas/efectos de los fármacos , Proteínas de Transporte de Membrana/efectos de los fármacos , Permeabilidad de la Membrana Celular/efectos de los fármacos , Permeabilidad de la Membrana Celular/fisiología , Pared Celular/efectos de los fármacos , Pared Celular/fisiología , Farmacorresistencia Bacteriana Múltiple/fisiología , Bacterias Gramnegativas/metabolismo , Humanos
2.
J Biotechnol ; 119(3): 219-44, 2005 Sep 29.
Artículo en Inglés | MEDLINE | ID: mdl-16005536

RESUMEN

Successful drug discovery requires accurate decision making in order to advance the best candidates from initial lead identification to final approval. Chemogenomics, the use of genomic tools in pharmacology and toxicology, offers a promising enhancement to traditional methods of target identification/validation, lead identification, efficacy evaluation, and toxicity assessment. To realize the value of chemogenomics information, a contextual database is needed to relate the physiological outcomes induced by diverse compounds to the gene expression patterns measured in the same animals. Massively parallel gene expression characterization coupled with traditional assessments of drug candidates provides additional, important mechanistic information, and therefore a means to increase the accuracy of critical decisions. A large-scale chemogenomics database developed from in vivo treated rats provides the context and supporting data to enhance and accelerate accurate interpretation of mechanisms of toxicity and pharmacology of chemicals and drugs. To date, approximately 600 different compounds, including more than 400 FDA approved drugs, 60 drugs approved in Europe and Japan, 25 withdrawn drugs, and 100 toxicants, have been profiled in up to 7 different tissues of rats (representing over 3200 different drug-dose-time-tissue combinations). Accomplishing this task required evaluating and improving a number of in vivo and microarray protocols, including over 80 rigorous quality control steps. The utility of pairing clinical pathology assessments with gene expression data is illustrated using three anti-neoplastic drugs: carmustine, methotrexate, and thioguanine, which had similar effects on the blood compartment, but diverse effects on hepatotoxicity. We will demonstrate that gene expression events monitored in the liver can be used to predict pathological events occurring in that tissue as well as in hematopoietic tissues.


Asunto(s)
Biotecnología/métodos , Diseño de Fármacos , Industria Farmacéutica/métodos , 5-Aminolevulinato Sintetasa/biosíntesis , Animales , Antineoplásicos/farmacología , Antineoplásicos/toxicidad , Automatización , Conductos Biliares/patología , Carmustina/toxicidad , Biología Computacional , Bases de Datos como Asunto , Relación Dosis-Respuesta a Droga , Regulación hacia Abajo , Expresión Génica , Humanos , Hiperplasia/etiología , Hígado/efectos de los fármacos , Masculino , Metotrexato/toxicidad , Hibridación de Ácido Nucleico , Análisis de Secuencia por Matrices de Oligonucleótidos , Tamaño de los Órganos , Farmacología/métodos , ARN/química , ARN Complementario/metabolismo , Ratas , Ratas Sprague-Dawley , Reticulocitos/citología , Reticulocitos/metabolismo , Tioguanina/toxicidad , Factores de Tiempo , Distribución Tisular , Toxicología/métodos
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