Jenke Dennis, Carlson Tage
Baxter Healthcare Corporation, Round Lake, IL
Baxter Healthcare Corporation, Round Lake, IL.
PDA J Pharm Sci Technol. 2014 Sep-Oct;68(5):407-55. doi: 10.5731/pdajpst.2014.00995.
Demonstrating suitability for intended use is necessary to register packaging, delivery/administration, or manufacturing systems for pharmaceutical products. During their use, such systems may interact with the pharmaceutical product, potentially adding extraneous entities to those products. These extraneous entities, termed leachables, have the potential to affect the product's performance and/or safety. To establish the potential safety impact, drug products and their packaging, delivery, or manufacturing systems are tested for leachables or extractables, respectively. This generally involves testing a sample (either the extract or the drug product) by a means that produces a test method response and then correlating the test method response with the identity and concentration of the entity causing the response. Oftentimes, analytical tests produce responses that cannot readily establish the associated entity's identity. Entities associated with un-interpretable responses are termed unknowns. Scientifically justifiable thresholds are used to establish those individual unknowns that represent an acceptable patient safety risk and thus which do not require further identification and, conversely, those unknowns whose potential safety impact require that they be identified. Such thresholds are typically based on the statistical analysis of datasets containing toxicological information for more or less relevant compounds. This article documents toxicological information for over 540 extractables identified in laboratory testing of polymeric materials used in pharmaceutical applications. Relevant toxicological endpoints, such as NOELs (no observed effects), NOAELs (no adverse effects), TDLOs (lowest published toxic dose), and others were collated for these extractables or their structurally similar surrogates and were systematically assessed to produce a risk index, which represents a daily intake value for life-long intravenous administration. This systematic approach uses four uncertainty factors, each assigned a factor of 10, which consider the quality and relevance of the data, differences in route of administration, non-human species to human extrapolations, and inter-individual variation among humans. In addition to the risk index values, all extractables and most of their surrogates were classified for structural safety alerts using Cramer rules and for mutagenicity alerts using an in silico approach (Benigni/Bossa rule base for mutagenicity via Toxtree). Lastly, in vitro mutagenicity data (Ames Salmonella typimurium and Mouse Lymphoma tests) were collected from available databases (Chemical Carcinogenesis Research Information and Carcinogenic Potency Database). The frequency distributions of the resulting data were established; in general risk index values were normally distributed around a band ranging from 5 to 20 mg/day. The risk index associated with 95% level of the cumulative distribution plot was approximately 0.1 mg/day. Thirteen extractables in the dataset had individual risk index values less than 0.1 mg/day, although four of these had additional risk indices, based on multiple different toxicological endpoints, above 0.1 mg/day. Additionally, approximately 50% of the extractables were classified in Cramer Class 1 (low risk of toxicity) and approximately 35% were in Cramer Class 3 (no basis to assume safety). Lastly, roughly 20% of the extractables triggered either an in vitro or in silico alert for mutagenicity. When Cramer classifications and the mutagenicity alerts were compared to the risk indices, extractables with safety alerts generally had lower risk index values, although the differences in the risk index data distributions, extractables with or without alerts, were small and subtle.
Leachables from packaging systems, manufacturing systems, or delivery devices can accumulate in drug products and potentially affect the drug product. Although drug products can be analyzed for leachables (and material extracts can be analyzed for extractables), not all leachables or extractables can be fully identified. Safety thresholds can be used to establish whether the unidentified substances can be deemed to be safe or whether additional analytical efforts need to be made to secure the identities. These thresholds are typically based on the statistical analysis of datasets containing toxicological information for more or less relevant compounds. This article contains safety data for over 500 extractables that were identified in laboratory characterizations of polymers used in pharmaceutical applications. The safety data consists of structural toxicity classifications of the extractables as well as calculated risk indices, where the risk indices were obtained by subjecting toxicological safety data, such as NOELs (no observed effects), NOAELs (no adverse effects), TDLOs (lowest published toxic dose), and others to a systematic evaluation process using appropriate uncertainty factors. Thus the risk index values represent daily exposures for the lifetime intravenous administration of drugs. The frequency distributions of the risk indices and Cramer classifications were examined. The risk index values were normally distributed around a range of 5 to 20 mg/day, and the risk index associated with the 95% level of the cumulative frequency plot was 0.1 mg/day. Approximately 50% of the extractables were in Cramer Class 1 (low risk of toxicity) and approximately 35% were in Cramer Class 3 (high risk of toxicity). Approximately 20% of the extractables produced an in vitro or in silico mutagenicity alert. In general, the distribution of risk index values was not strongly correlated with the either extractables' Cramer classification or by mutagenicity alerts. However, extractables with either in vitro or in silico alerts were somewhat more likely to have low risk index values.
证明适用于预期用途对于药品包装、给药/投药或生产系统的注册是必要的。在使用过程中,此类系统可能会与药品相互作用,有可能向这些产品中添加外来物质。这些被称为可浸出物的外来物质有可能影响产品的性能和/或安全性。为确定潜在的安全影响,分别对药品及其包装、给药或生产系统进行可浸出物或可提取物测试。这通常包括通过一种能产生测试方法响应的手段对样品(提取物或药品)进行测试,然后将测试方法响应与引起该响应的物质的身份和浓度相关联。通常,分析测试产生的响应无法轻易确定相关物质的身份。与无法解释的响应相关的物质被称为未知物。使用科学合理的阈值来确定那些代表可接受的患者安全风险、因此无需进一步鉴定的个体未知物,以及那些潜在安全影响要求对其进行鉴定的未知物。此类阈值通常基于对包含或多或少相关化合物毒理学信息的数据集的统计分析。本文记录了在用于制药应用的聚合物材料实验室测试中鉴定出的540多种可提取物的毒理学信息。为这些可提取物或其结构相似的替代物整理了相关的毒理学终点,如无观察到效应水平(NOELs)、无不良反应水平(NOAELs)、最低公布中毒剂量(TDLOs)等,并进行系统评估以生成风险指数,该指数代表终身静脉给药的每日摄入量值。这种系统方法使用四个不确定性因素,每个因素指定为10,这些因素考虑了数据的质量和相关性、给药途径的差异、从非人类物种到人类的外推以及人类个体间的差异。除了风险指数值外,所有可提取物及其大多数替代物都使用克莱默规则进行结构安全警示分类,并使用计算机方法(通过Toxtree的贝尼尼/博萨致突变性规则库)进行致突变性警示分类。最后,从可用数据库(化学致癌研究信息和致癌潜力数据库)收集体外致突变性数据(鼠伤寒沙门氏菌艾姆斯试验和小鼠淋巴瘤试验)。确定了所得数据的频率分布;一般来说,风险指数值呈正态分布,范围在5至20毫克/天之间。累积分布图95%水平对应的风险指数约为0.1毫克/天。数据集中有13种可提取物的个体风险指数值低于0.1毫克/天,尽管其中4种基于多个不同毒理学终点的额外风险指数高于0.1毫克/天。此外,大约50%的可提取物被分类为克莱默1类(低毒性风险),大约35%被分类为克莱默3类(无安全依据)。最后,大约20%的可提取物触发了体外或计算机致突变性警示。当将克莱默分类和致突变性警示与风险指数进行比较时,有安全警示的可提取物通常风险指数值较低,尽管有警示和无警示的可提取物的风险指数数据分布差异很小且不明显。
来自包装系统、生产系统或给药装置的可浸出物可能会在药品中积累并可能影响药品。尽管可以对药品进行可浸出物分析(对材料提取物进行可提取物分析),但并非所有可浸出物或可提取物都能被完全鉴定。安全阈值可用于确定未鉴定的物质是否可被视为安全,或者是否需要进行额外的分析工作以确定其身份。这些阈值通常基于对包含或多或少相关化合物毒理学信息的数据集的统计分析。本文包含在用于制药应用的聚合物实验室表征中鉴定出的500多种可提取物的安全数据。安全数据包括可提取物的结构毒性分类以及计算出的风险指数,其中风险指数是通过使用适当的不确定性因素对毒理学安全数据,如无观察到效应水平(NOELs)、无不良反应水平(NOAELs)、最低公布中毒剂量(TDLOs)等进行系统评估过程而获得的。因此,风险指数值代表药物终身静脉给药的每日暴露量。检查了风险指数和克莱默分类的频率分布。风险指数值呈正态分布,范围在5至20毫克/天之间,累积频率图95%水平对应的风险指数为0.1毫克/天。大约50%的可提取物属于克莱默1类(低毒性风险),大约35%属于克莱默3类(高毒性风险)。大约20%的可提取物产生了体外或计算机致突变性警示。一般来说,风险指数值的分布与可提取物的克莱默分类或致突变性警示均无强烈相关性。然而,有体外或计算机警示的可提取物更有可能具有较低的风险指数值。