Time dependent analysis of assay comparability: a novel approach to understand intra- and inter-site variability over time

被引:12
|
作者
Winiwarter, Susanne [1 ]
Middleton, Brian [2 ]
Jones, Barry [3 ]
Courtney, Paul [4 ]
Lindmark, Bo [5 ]
Page, Ken M. [6 ]
Clark, Alan [7 ]
Landqvist, Claire [1 ]
机构
[1] AstraZeneca R&D, Innovat Med Drug Safety & Metab, S-43183 Molndal, Sweden
[2] AstraZeneca R&D Alderley Pk, Discovery Sci, Innovat Med, Macclesfield SK10 4TF, Cheshire, England
[3] AstraZeneca R&D Cambridge, Innovat Med Drug Safety & Metab, Unit 310, Cambridge CB4 0WG, England
[4] AstraZeneca R&D, Pharmaceut Dev, Global Med Dev, Macclesfield SK10 2NA, Cheshire, England
[5] AstraZeneca R&D, Innovat Med Cardiovasc & Metab Dis, S-43183 Molndal, Sweden
[6] AstraZeneca R&D Alderley Pk, Innovat Med Drug Safety & Metab, Macclesfield SK10 4TF, Cheshire, England
[7] AstraZeneca R&D Boston, Innovat Med Drug Safety & Metab, Waltham, MA 01742 USA
关键词
DMPK; ADME; Variability; Screening assay; Site variability; DRUG DISCOVERY; PROTEIN BINDING; VALIDATION; MODELS; INFORMATION; COMPOUND; QUALITY; DESIGN;
D O I
10.1007/s10822-015-9836-5
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We demonstrate here a novel use of statistical tools to study intra- and inter-site assay variability of five early drug metabolism and pharmacokinetics in vitro assays over time. Firstly, a tool for process control is presented. It shows the overall assay variability but allows also the following of changes due to assay adjustments and can additionally highlight other, potentially unexpected variations. Secondly, we define the minimum discriminatory difference/ratio to support projects to understand how experimental values measured at different sites at a given time can be compared. Such discriminatory values are calculated for 3 month periods and followed over time for each assay. Again assay modifications, especially assay harmonization efforts, can be noted. Both the process control tool and the variability estimates are based on the results of control compounds tested every time an assay is run. Variability estimates for a limited set of project compounds were computed as well and found to be comparable. This analysis reinforces the need to consider assay variability in decision making, compound ranking and in silico modeling.
引用
收藏
页码:795 / 807
页数:13
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