清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

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 几何学 植物 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.

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
4秒前
yushiolo完成签到 ,获得积分10
6秒前
8秒前
刻苦的新烟完成签到 ,获得积分0
8秒前
兜有米完成签到 ,获得积分10
10秒前
神勇的天问完成签到 ,获得积分10
10秒前
liuye0202完成签到,获得积分10
13秒前
17秒前
占那个完成签到 ,获得积分10
17秒前
百事可乐发布了新的文献求助10
20秒前
毛毛虫完成签到,获得积分10
25秒前
26秒前
隐形的雁完成签到,获得积分10
30秒前
32秒前
百事可乐完成签到,获得积分10
36秒前
感动的白梅完成签到 ,获得积分10
42秒前
囧神完成签到,获得积分10
50秒前
爱吃冻梨完成签到 ,获得积分10
1分钟前
susu完成签到,获得积分10
1分钟前
1分钟前
飞龙在天完成签到 ,获得积分10
1分钟前
斯文的傲珊完成签到,获得积分10
1分钟前
Zhou完成签到 ,获得积分10
1分钟前
灯座完成签到,获得积分10
1分钟前
x夏天完成签到 ,获得积分10
1分钟前
达尔文完成签到 ,获得积分10
1分钟前
1分钟前
达尔文1完成签到 ,获得积分10
1分钟前
1分钟前
531完成签到,获得积分10
1分钟前
末小皮发布了新的文献求助10
1分钟前
末小皮完成签到,获得积分10
1分钟前
1分钟前
2分钟前
如泣草芥完成签到,获得积分0
2分钟前
葛力发布了新的文献求助10
2分钟前
MS903完成签到 ,获得积分10
2分钟前
奥丁不言语完成签到 ,获得积分10
2分钟前
2分钟前
t铁核桃1985完成签到 ,获得积分0
2分钟前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6473620
求助须知:如何正确求助?哪些是违规求助? 8276731
关于积分的说明 17647047
捐赠科研通 5553636
什么是DOI,文献DOI怎么找? 2909798
邀请新用户注册赠送积分活动 1886580
关于科研通互助平台的介绍 1738730