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一种用于对环境中发现的药品进行风险评估、监测和深入研究的优先级排序的综合方法。

An integrated approach for prioritizing pharmaceuticals found in the environment for risk assessment, monitoring and advanced research.

机构信息

Johnson & Johnson, New Brunswick, NJ, USA.

Pfizer Inc., New York, NY, USA.

出版信息

Chemosphere. 2014 Nov;115:4-12. doi: 10.1016/j.chemosphere.2014.01.021. Epub 2014 Mar 15.

DOI:10.1016/j.chemosphere.2014.01.021
PMID:24636702
Abstract

Numerous active pharmaceutical ingredients (APIs), approved prior to enactment of detailed environmental risk assessment (ERA) guidance in the EU in 2006, have been detected in surface waters as a result of advancements in analytical technologies. Without adequate knowledge of the potential hazards these APIs may pose, assessing their environmental risk is challenging. As it would be impractical to commence hazard characterization and ERA en masse, several approaches to prioritizing substances for further attention have been published. Here, through the combination of three presentations given at a recent conference, "Pharmaceuticals in the Environment, Is there a problem?" (Nîmes, France, June 2013) we review several of these approaches, identify salient components, and present available techniques and tools that could facilitate a pragmatic, scientifically sound approach to prioritizing APIs for advanced study or ERA and, where warranted, fill critical data gaps through targeted, intelligent testing. We further present a modest proposal to facilitate future prioritization efforts and advanced research studies that incorporates mammalian pharmacology data (e.g., adverse outcomes pathways and the fish plasma model) and modeled exposure data based on pharmaceutical use.

摘要

由于分析技术的进步,许多在 2006 年欧盟详细环境风险评估 (ERA) 指南颁布之前获得批准的活性药物成分 (API) 已在地表水中被检测到。由于缺乏对这些 API 可能带来的潜在危害的充分了解,评估其环境风险具有挑战性。由于大规模开展危害特征描述和 ERA 不切实际,因此已经发布了几种优先考虑进一步关注物质的方法。在这里,我们通过最近一次会议(2013 年 6 月在法国尼姆举行的“环境中的药物,是否存在问题?”)上的三个演讲的组合,回顾了其中的几种方法,确定了突出的组成部分,并介绍了可用的技术和工具,这些技术和工具可以促进针对 API 进行高级研究或 ERA 的务实、合理的方法,并在必要时通过有针对性的、明智的测试来填补关键数据空白。我们进一步提出了一个适度的建议,以促进未来的优先排序工作和高级研究,该建议纳入了哺乳动物药理学数据(例如,不良后果途径和鱼类血浆模型)和基于药物使用的建模暴露数据。

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