Validation of assays for use with combination vaccines

被引:8
作者
Klein, J
Capen, R
Mancinelli, R
Robinett, R
Pietrobon, PJF
Quinn, J
Schofield, T
机构
[1] Merck & Co Inc, Merck Res Labs, W Point, PA 19486 USA
[2] Pasteur Merieux Connaught Inc, Swiftwater, PA 18370 USA
关键词
D O I
10.1006/biol.1999.0167
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A general methodology is presented for the validation of assays used for testing combination vaccines. The presentation is detailed and technical as our intention is to address challenges that we have encountered in the design and statistical analysis of assay validation studies. There are several noteworthy features which render the approach particularly useful in practice. It employs a statistical experimental design approach to the investigation of assay ruggedness with respect to manufacturing variability; it makes use of the assay variability results to determine the level of test-run replication necessary to achieve precision compatible with the product specifications; and, it provides a generic approach to assay validation. With combination vaccines, as with other pharmaceuticals, the analytical methods for release and stability must be validated early in the development programme Several things, though, distinguish this task with combination vaccines: (1) assays are typically pre-existing and often have been validated for use with an established sample matrix, e.g, a monovalent formulation; (2) sample matrices are complex and therefore more subject to manufacturing variability and more likely to cause assay interferences; and (3) the analytical workload is considerable due to the number of antigens. The methodology presented here was developed jointly by Merck Research Laboratories (West Point, PA) and Pasteur Merieux Connaught, Inc. (Swiftwater, PA). Many of the issues discussed here have application outside of combination vaccines and are common features of all assay validations. (C) 1999 The International Association for Biologicals.
引用
收藏
页码:35 / 41
页数:7
相关论文
共 5 条
[1]  
[Anonymous], INT C HARM TECHN REQ
[2]  
Burdick R., 1992, Confidence intervals on variance components, V1st
[3]  
FINNEY DJ, 1991, STAT METHOD BIOL ASS
[4]  
*ICH STEER COMM, 1994, INT C HARM TECHN REQ
[5]  
Montgomery D.C., 1991, INTRO STAT QUALITY C