改进的可开发性分类系统在早期发现中的优势
Kristian Beran1, Jennifer Dressman2, Eline Hermans3
1Fraunhofer Institute for Translational Medicine and Pharmacology, Frankfurt am Main, Germany; Janssen Pharmaceutica NV, Pharmaceutical & Material Sciences, Beerse, Belgium.
Journal of pharmaceutical sciences
|December 26, 2024
概括
这项研究比较了老鼠口服药物暴露与精细的发展性分类系统 (rDCS). rDCS准确地预测了活性药物成分 (API) 的配方策略和生物可用性极限.
科学领域:
- 药理动力学和药物开发
- 制药科学 制药科学
- 药用化学 医学化学
背景情况:
- 鼠类的药理动力学研究对于在早期药物发现过程中优化活性药物成分 (API) 是至关重要的.
- 了解吸收,分布,新陈代谢和分泌 (ADME) 是成功开发API的关键.
- 开发能力分类系统 (DCS) 有助于预测药物开发能力,但正在进行改进.
研究的目的:
- 为了在体内比较老鼠口服暴露的悬浮和溶液配方与精制的发育分类系统 (rDCS).
- 评估rDCS在识别口服吸收限制和指导API的配方策略选择方面的实用性.
- 通过利用物理化学性质和预测模型来优化口服生物利用性 (BA).
主要方法:
- 在老鼠中利用了六种不同的API,具有不同的溶解度,代谢稳定性和口服BA.
- 在老鼠中进行了适合目的的口服悬浮液和溶液的药理动力学研究.
- 应用了完善的可开发性分类系统 (rDCS) 来进行可开发性风险评估.
主要成果:
- 在六种药物中,五种药物 (乙氨基,伏利可纳,费德拉提尼布,莱姆博雷克桑,伊斯特拉德菲林) 显示口服BA受限于大鼠的第一通代谢.
- 一个API (voxelotor) 表明口服吸收受到肠道溶解/溶解度的限制.
- rDCS分析提供了差异化的风险评估,与临床/市场配方策略保持一致.
结论:
- 在没有临床前数据的情况下,rDCS为预测口服药物开发能力提供了有价值的工具.
- rDCS有效地将复合物理化学属性和人类生理学纳入风险评估中.
- 这种方法有助于选择合适的配方策略,并在药物发现的早期优化口服生物可用性.
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