...
首页> 外文期刊>Regulatory Toxicology and Pharmacology: RTP >Point of departure (PoD) selection for the derivation of acceptable daily exposures (ADEs) for active pharmaceutical ingredients (APIs)
【24h】

Point of departure (PoD) selection for the derivation of acceptable daily exposures (ADEs) for active pharmaceutical ingredients (APIs)

机译:出发点(PoD)选择,以得出活性药物成分(API)的可接受的每日暴露量(ADE)

获取原文
获取原文并翻译 | 示例
           

摘要

The Acceptable Daily Exposure (ADE) derived for pharmaceutical manufacturing is a health-based limit used to ensure that medicines produced in multi-product facilities are safe and are used to validate quality processes. Core to ADE derivation is selecting appropriate point(s) of departure (PoD), i.e., the starting dose of a given dataset that is used in the calculation of the ADE. Selecting the PoD involves (1) data collection and hazard characterization, (2) identification of "critical effects", and (3) a dose-response assessment including the determination of the no-observed-adverse-effect-level (NOAEL) or lowest-observed-adverse-effect-level (LOAEL), or calculating a benchmark dose (BMD) level. Compared to other classes of chemicals, active pharmaceutical ingredients (APIs) are well-characterized and have unique, rich datasets that must be considered when selecting the PoD. Dataset considerations for an API include therapeutic/pharmacological effects, particularities of APIs for different indications and routes of administration, data gaps during drug development, and sensitive subpopulations. Thus, the PoD analysis must be performed by a qualified toxicologist or other expert who also understands the complexities of pharmaceutical datasets. In addition, as the pharmaceutical industry continues to evolve new therapeutic principles, the science behind PoD selection must also evolve to ensure state-of-the-science practices and resulting ADEs. (C) 2016 Elsevier Inc. All rights reserved.
机译:用于药品制造的可接受的每日暴露量(ADE)是基于健康的限制,用于确保在多产品设施中生产的药品安全并用于验证质量过程。 ADE推导的核心是选择适当的出发点(PoD),即用于ADE计算的给定数据集的起始剂量。选择PoD涉及(1)数据收集和危害表征,(2)“关键影响”的识别以及(3)剂量反应评估,包括确定未观察到的不良影响水平(NOAEL)或最低观察到的不良反应水平(LOAEL),或计算基准剂量(BMD)水平。与其他类别的化学药品相比,活性药物成分(API)具有很好的特性,并且具有独特的丰富数据集,在选择PoD时必须考虑这些数据集。 API的数据集考虑因素包括治疗/药理作用,用于不同适应症和给药途径的API的特殊性,药物开发过程中的数据缺口以及敏感的亚群。因此,PoD分析必须由合格的毒理学家或其他了解药物数据集复杂性的专家执行。此外,随着制药行业不断发展新的治疗原理,PoD选择背后的科学也必须发展,以确保科学的实践和由此产生的ADE。 (C)2016 Elsevier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号