Qiu Jinshu, Li Kim, Miller Karen, Raghani Anil
Product Development, Amgen Inc., Thousand Oaks, CA USA; and
Environment, Health, Safety and Sustainability, Amgen Inc., Thousand Oaks, CA USA.
PDA J Pharm Sci Technol. 2015 May-Jun;69(3):334-45. doi: 10.5731/pdajpst.2015.01056.
The purpose of this article is to recommend a risk-based strategy for determining clearance testing requirements of the process reagents used in manufacturing biopharmaceutical products. The strategy takes account of four risk factors. Firstly, the process reagents are classified into two categories according to their safety profile and history of use: generally recognized as safe (GRAS) and potential safety concern (PSC) reagents. The clearance testing of GRAS reagents can be eliminated because of their safe use historically and process capability to remove these reagents. An estimated safety margin (Se) value, a ratio of the exposure limit to the estimated maximum reagent amount, is then used to evaluate the necessity for testing the PSC reagents at an early development stage. The Se value is calculated from two risk factors, the starting PSC reagent amount per maximum product dose (Me), and the exposure limit (Le). A worst-case scenario is assumed to estimate the Me value, that is common. The PSC reagent of interest is co-purified with the product and no clearance occurs throughout the entire purification process. No clearance testing is required for this PSC reagent if its Se value is ≥1; otherwise clearance testing is needed. Finally, the point of the process reagent introduction to the process is also considered in determining the necessity of the clearance testing for process reagents. How to use the measured safety margin as a criterion for determining PSC reagent testing at process characterization, process validation, and commercial production stages are also described.
A large number of process reagents are used in the biopharmaceutical manufacturing to control the process performance. Clearance testing for all of the process reagents will be an enormous analytical task. In this article, a risk-based strategy is described to eliminate unnecessary clearance testing for majority of the process reagents using four risk factors. The risk factors included in the strategy are (i) safety profile of the reagents, (ii) the starting amount of the process reagents used in the manufacturing process, (iii) the maximum dose of the product, and (iv) the point of introduction of the process reagents in the process. The implementation of the risk-based strategy can eliminate clearance testing for approximately 90% of the process reagents used in the manufacturing processes. This science-based strategy allows us to ensure patient safety and meet regulatory agency expectations throughout the product development life cycle.
本文的目的是推荐一种基于风险的策略,用于确定生物制药产品生产过程中所用工艺试剂的清除测试要求。该策略考虑了四个风险因素。首先,工艺试剂根据其安全性概况和使用历史分为两类:一般认为安全(GRAS)试剂和潜在安全隐患(PSC)试剂。由于GRAS试剂历来使用安全且工艺具备去除这些试剂的能力,因此可以免除其清除测试。然后,使用估计安全裕度(Se)值,即暴露限值与估计最大试剂量的比值,来评估在早期开发阶段对PSC试剂进行测试的必要性。Se值由两个风险因素计算得出,即每最大产品剂量的起始PSC试剂量(Me)和暴露限值(Le)。通常假定采用最坏情况来估计Me值。所关注的PSC试剂与产品共纯化,并且在整个纯化过程中未发生清除。如果该PSC试剂的Se值≥1,则无需进行清除测试;否则需要进行清除测试。最后,在确定工艺试剂清除测试的必要性时,还会考虑工艺试剂引入工艺的时间点。本文还描述了如何将测得的安全裕度用作在工艺表征、工艺验证和商业化生产阶段确定PSC试剂测试的标准。
生物制药生产中使用大量工艺试剂来控制工艺性能。对所有工艺试剂进行清除测试将是一项艰巨的分析任务。本文描述了一种基于风险的策略,利用四个风险因素消除对大多数工艺试剂进行不必要的清除测试。该策略中包含的风险因素有:(i)试剂的安全性概况;(ii)生产过程中使用的工艺试剂起始量;(iii)产品的最大剂量;(iv)工艺试剂在工艺中的引入时间点。基于风险的策略的实施可以消除对生产过程中约90%的工艺试剂的清除测试。这种基于科学的策略使我们能够在产品开发生命周期内确保患者安全并满足监管机构的期望。