通过使用大鼠肝脏微粒来改善体内生物清除的抽取,用于高度与血蛋白结合的分子
Markus Trunzer1, Joana Teigão2, Felix Huth2
1Pharmacokinetic Sciences, Novartis Pharma AG, Basel, Switzerland markus.trunzer@novartis.com.
精心调的模型往往低于预测酸性药物的体内清除. 将血添加到体外化中可以改善对高度与蛋白质结合的化合物的预测,从而增强体外-体外抽取 (IVIVE).
科学领域:
- 药理动力学和药物新陈代谢
- 药物发现和开发 药物发现和开发
背景情况:
- 精心的模型 (WSM) 是预测体内肝脏清除从体外肝脏化中的标准.
- 与中性和基本化合物不同的是,WSM对酸性化合物的体外-体内相关性 (IVIVC) 较差.
- 酸的高血蛋白结合被假设为IVIVC断开的原因.
研究的目的:
- 研究血蛋白结合对酸性化合物的IVIVC的影响.
- 开发方法来提高药物清除的体外-体内抽取 (IVIVE) 的准确性.
- 基于与血蛋白结合的 in vitro 清除估计的校正.
主要方法:
- 用老鼠肝脏显微体在有或没有血的情况下化专有化合物.
- 测量内在清除和计算血中未结合的分数 (fup).
- 基于fup的实证,非线性校正方程的开发,用于清除预测.
主要成果:
- 血添加显著改善了对高度与蛋白质结合的酸性化合物的IVIVC (fup <1%).
- 对中度结合的化合物 (fup ≥1%) 观察到较小的影响.
- 根据fup的基础上,我们得出了一个经验性校正方程式来调整不受约束的内在清除 (CLint,u).
结论:
- 用血补充微体化,可以提高对高度结合的化合物代谢清除的估计.
- 由此得出的经验方程可以改善标准缓冲器-only化器的清除预测.
- 这种方法提供了一种改进IVIVE的方法,特别是对于具有高血蛋白结合的酸性药物.
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