Potency Assay Variability Estimation in Practice

Author:

Li Hang1ORCID,Witkos Tomasz M.2ORCID,Umlauf Scott3,Thompson Christopher1

Affiliation:

1. Data Science & Modelling Biopharmaceutical Development, AstraZeneca Gaithersburg Maryland USA

2. Bioassay, Biosafety and Impurities Biopharmaceutical Development, AstraZeneca Cambridge UK

3. Bioassay, Biosafety and Impurities Biopharmaceutical Development, AstraZeneca Gaithersburg Maryland USA

Abstract

AbstractDuring the drug development process, testing potency plays an important role in the quality assessment required for the manufacturing and marketing of biologics. Due to multiple operational and biological factors, higher variability is usually observed in bioassays compared with physicochemical methods. In this paper, we discuss different sources of bioassay variability and how this variability can be statistically estimated. In addition, we propose an algorithm to estimate the variability of reportable results associated with different numbers of runs and their corresponding OOS rates under a given specification. Numerical experiments are conducted on multiple assay formats to elucidate the empirical distribution of bioassay variability.

Funder

AstraZeneca

Publisher

Wiley

Reference17 articles.

1. FDA “Biological Products: General 21 C.F.R. 210.3(b)(16) ” 2023https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/CFRSearch.cfm?fr=210.3.

2. USP “<1032> Design and Development of Biological Assay ”https://doi.org/10.31003/USPNF_M1354_01_01.

3. Assay Acceptance Criteria for Multiwell‐Plate‐Based Biological Potency Assays Draft for Consultation;Robinson C.;Bioprocess International,2014

4. Best practices in bioassay development to support registration of biopharmaceuticals

5. Essentials in Bioassay Design and Relative Potency Determination;Little T. A.;BioPharm International,2016

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