Recommendations for the bioanalytical method validation of ligand-binding assays to support pharmacokinetic assessments of macromolecules

被引:447
作者
DeSilva, B
Smith, W
Weiner, R
Kelley, M [1 ]
Smolec, JM
Lee, B
Khan, M
Tacey, R
Hill, H
Celniker, A
机构
[1] Johnson & Johnson Pharmaceut, Raritan, NJ USA
[2] Amgen Inc, Thousand Oaks, CA 91320 USA
[3] Lilly Res Labs, Greenfield, IN 46140 USA
[4] Bristol Myers Squibb Co, Princeton, NJ 08543 USA
[5] Alta Analyt Lab, San Diego, CA USA
[6] Pfizer Global Res & Dev, Ann Arbor, MI USA
[7] Covance Labs, Chantilly, VA USA
[8] PPD Dev, Richmond, VA USA
[9] HLS, Huntingdon, Cambs, England
[10] Millennium Pharmaceut Inc, Cambridge, MA USA
关键词
best practices; bioanalytical assay; biological matrices; consensus document; immunoassay;
D O I
10.1023/B:PHAM.0000003390.51761.3d
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Purpose. With this publication a subcommittee of the AAPS Ligand Binding Assay Bioanalytical Focus Group (LBABFG) makes recommendations for the development, validation, and implementation of ligand binding assays (LBAs) that are intended to support pharmacokinetic and toxicokinetic assessments of macromolecules. Methods. This subcommittee was comprised of 10 members representing Pharmaceutical, Biotechnology, and the contract research organization industries from the United States, Canada, and Europe. Each section of this consensus document addresses a specific analytical performance characteristic or aspect for validation of a LBA. Within each section the topics are organized by an assay's life cycle, the development phase, pre-study validation, and in-study validation. Because unique issues often accompany bioanalytical assays for macromolecules, this document should be viewed as a guide for designing and conducting the validation of ligand binding assays. Results. Values of +/- 20% (25% at the lower limit of quantification [LLOQ]) are recommended as default acceptance criteria for accuracy (% relative error [RE], mean bias) and interbatch precision (% coefficient of variation [ CV]). In addition, we propose as secondary criteria for method acceptance that the sum of the interbatch precision (% CV) and the absolute value of the mean bias (% RE) be less than or equal to 30%. This added criterion is recommended to help ensure that in-study runs of test samples will meet the proposed run acceptance criteria of 4-6-30. Exceptions to the proposed process and acceptance criteria are appropriate when accompanied by a sound scientific rationale. Conclusions. In this consensus document, we attempt to make recommendations that are based on bioanalytical best practices and statistical thinking for development and validation of LBAs.
引用
收藏
页码:1885 / 1900
页数:16
相关论文
共 20 条
[1]  
[Anonymous], 2001, Guidance for industry, bioanalytical method validation
[2]  
[Anonymous], 1996, INT C HARM ICH TECHN
[3]   Measuring agreement in method comparison studies [J].
Bland, JM ;
Altman, DG .
STATISTICAL METHODS IN MEDICAL RESEARCH, 1999, 8 (02) :135-160
[4]   Validation of immunoassays for bioanalysis: a pharmaceutical industry perspective [J].
Findlay, JWA ;
Smith, WC ;
Lee, JW ;
Nordblom, GD ;
Das, I ;
DeSilva, BS ;
Khan, MN ;
Bowsher, RR .
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2000, 21 (06) :1249-1273
[5]   REAPPRAISAL OF HYPOTHESIS-TESTING FOR METHOD VALIDATION - DETECTION OF SYSTEMATIC-ERROR BY COMPARING THE MEANS OF 2 METHODS OR OF 2 LABORATORIES [J].
HARTMANN, C ;
SMEYERSVERBEKE, J ;
PENNINCKX, W ;
VANDERHEYDEN, Y ;
VANKEERBERGHEN, P ;
MASSART, DL .
ANALYTICAL CHEMISTRY, 1995, 67 (24) :4491-4499
[6]   The SFSTP guide on the validation of chromatographic methods for drug bioanalysis: from the Washington Conference to the laboratory [J].
Hubert, P ;
Chiap, P ;
Crommen, J ;
Boulanger, B ;
Chapuzet, E ;
Mercier, N ;
Bervoas-Martin, S ;
Chevalier, P ;
Grandjean, D ;
Lagorce, P ;
Lallier, M ;
Laparra, MC ;
Laurentie, M ;
Nivet, JC .
ANALYTICA CHIMICA ACTA, 1999, 391 (02) :135-148
[7]   Statistical methods for assessing stability of compounds in whole blood for clinical bioanalysis [J].
Kringle, R ;
Hoffman, D ;
Newton, J ;
Burton, R .
DRUG INFORMATION JOURNAL, 2001, 35 (04) :1261-1270
[9]   Workshop on bioanalytical methods validation for macromolecules: Summary report [J].
Miller, KJ ;
Bowsher, RR ;
Celniker, A ;
Gibbons, J ;
Gupta, S ;
Lee, JW ;
Swanson, SJ ;
Smith, WC ;
Weiner, RS .
PHARMACEUTICAL RESEARCH, 2001, 18 (09) :1373-1383
[10]  
PLACKETT RL, 1946, BIOMETRIKA 4, V33, P305, DOI [DOI 10.2307/2332195, DOI 10.1093/BIOMET/33.4.305]