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首页> 外文期刊>Drug Metabolism and Disposition: The Biological Fate of Chemicals >Prediction of human clearance of twenty-nine drugs from hepatic microsomal intrinsic clearance data: An examination of in vitro half-life approach and nonspecific binding to microsomes.
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Prediction of human clearance of twenty-nine drugs from hepatic microsomal intrinsic clearance data: An examination of in vitro half-life approach and nonspecific binding to microsomes.

机译:从肝微粒体固有清除率数据预测人类清除29种药物的作用:体外半衰期方法和与微粒体的非特异性结合的检查。

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摘要

Twenty-nine drugs of disparate structures and physicochemical properties were used in an examination of the capability of human liver microsomal lability data ("in vitro T(1/2)" approach) to be useful in the prediction of human clearance. Additionally, the potential importance of nonspecific binding to microsomes in the in vitro incubation milieu for the accurate prediction of human clearance was investigated. The compounds examined demonstrated a wide range of microsomal metabolic labilities with scaled intrinsic clearance values ranging from less than 0.5 ml/min/kg to 189 ml/min/kg. Microsomal binding was determined at microsomal protein concentrations used in the lability incubations. For the 29 compounds studied, unbound fractions in microsomes ranged from 0.11 to 1.0. Generally, basic compounds demonstrated the greatest extent of binding and neutral and acidic compounds the least extent of binding. In the projection of human clearance values, basic and neutral compounds were well predicted when all binding considerations (blood and microsome) were disregarded, however, including both binding considerations also yielded reasonable predictions. Including only blood binding yielded very poor projections of human clearance for these two types of compounds. However, for acidic compounds, disregarding all binding considerations yielded poor predictions of human clearance. It was generally most difficult to accurately predict clearance for this class of compounds; however the accuracy was best when all binding considerations were included. Overall, inclusion of both blood and microsome binding values gave the best agreement between in vivo clearance values and clearance values projected from in vitro intrinsic clearance data.
机译:二十九种结构和理化性质不同的药物被用于检查人类肝脏微粒体不稳定性数据的能力(“体外T(1/2)”方法),可用于预测人类清除率。另外,研究了在体外温育环境中非特异性结合微粒体对于准确预测人类清除率的潜在重要性。所检查的化合物表现出广泛的微粒体代谢不稳定性,其固有清除率值范围从小于0.5 ml / min / kg到189 ml / min / kg。在不育中使用的微粒体蛋白浓度确定微粒体结合。对于研究的29种化合物,微粒体中的未结合级分的范围为0.11至1.0。通常,碱性化合物显示出最大程度的结合,而中性和酸性化合物则显示出最小程度的结合。在人类清除率值的预测中,当不考虑所有结合考虑因素(血液和微粒体)时,可以很好地预测碱性和中性化合物,但是,包括这两种结合考虑因素也都得出了合理的预测。对于这两种类型的化合物,仅包括血液结合在内,人体清除率的预测就非常差。但是,对于酸性化合物,不考虑所有结合因素,就无法预测人类清除率。通常,最困难的是准确预测此类化合物的清除率。但是,当考虑所有约束因素时,准确性最高。总的来说,血液和微粒体结合值的包含都给出了体内清除率值与根据体外固有清除率数据预测的清除率值之间的最佳一致性。

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