A Compilation of Safety Impact Information for Extractables Associated with Materials Used in Pharmaceutical Packaging, Delivery, Administration, and Manufacturing Systems

计算机科学 风险分析(工程) 鉴定(生物学) 可靠性工程 产品(数学) 生化工程 医药制造业 医学 药理学 数学 工程类 植物 几何学 生物
作者
Dennis Jenke,Tim Carlson
出处
期刊:Pda Journal of Pharmaceutical Science and Technology [Parenteral Drug Association]
卷期号:68 (5): 407-455 被引量:30
标识
DOI:10.5731/pdajpst.2014.00995
摘要

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 product9s 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 entity9s 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. LAY ABSTRACT: 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 extractables9 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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI5应助科研通管家采纳,获得10
刚刚
大模型应助科研通管家采纳,获得10
刚刚
刚刚
隐形曼青应助科研通管家采纳,获得10
刚刚
刚刚
情怀应助科研通管家采纳,获得10
刚刚
刚刚
科研通AI5应助科研通管家采纳,获得10
1秒前
我是老大应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
1秒前
东溟渔夫发布了新的文献求助10
2秒前
mzhnx完成签到,获得积分10
3秒前
yeziyang完成签到,获得积分10
6秒前
6秒前
ding应助ardejiang采纳,获得10
6秒前
cc完成签到 ,获得积分10
7秒前
完美世界应助一区top采纳,获得10
7秒前
8秒前
Tao2023发布了新的文献求助10
8秒前
英姑应助快乐滑板采纳,获得10
9秒前
香蕉觅云应助苗条丹南采纳,获得10
9秒前
SciGPT应助哇塞采纳,获得10
10秒前
xueshudog完成签到,获得积分10
11秒前
12秒前
12秒前
西米完成签到,获得积分10
13秒前
坦率的尔丝完成签到,获得积分10
13秒前
猪猪侠完成签到,获得积分10
13秒前
14秒前
14秒前
卡机了完成签到,获得积分10
15秒前
16秒前
baowang发布了新的文献求助10
17秒前
xxxx发布了新的文献求助10
17秒前
17秒前
杨文志完成签到,获得积分10
18秒前
一区top发布了新的文献求助10
19秒前
西米发布了新的文献求助10
19秒前
高分求助中
Applied Survey Data Analysis (第三版, 2025) 800
Narcissistic Personality Disorder 700
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
Handbook of Experimental Social Psychology 500
The Martian climate revisited: atmosphere and environment of a desert planet 500
Transnational East Asian Studies 400
Towards a spatial history of contemporary art in China 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3846158
求助须知:如何正确求助?哪些是违规求助? 3388556
关于积分的说明 10553391
捐赠科研通 3109110
什么是DOI,文献DOI怎么找? 1713334
邀请新用户注册赠送积分活动 824732
科研通“疑难数据库(出版商)”最低求助积分说明 774982