Literature DB >> 31734179

Qualification of impurities based on metabolite data.

Lars Weidolf1, Thomas Andersson2, Joel P Bercu3, Andreas Brink4, Susanne Glowienke5, James Harvey6, Martin A Hayes7, Pascale Jacques8, Chuang Lu9, Nenad Manevski10, Wolfgang Muster11, Raphael Nudelman12, Ron Ogilvie13, Jenny Ottosson14, Andrew Teasdale15, Bruce Trela16.   

Abstract

Regulatory Guidance documents ICH Q3A (R2) and ICH Q3B (R2) state that "impurities that are also significant metabolites present in animal and/or human studies are generally considered qualified". However, no guidance is provided regarding data requirements for qualification, nor is a definition of the term "significant metabolite" provided. An opportunity is provided to define those categories and potentially avoid separate toxicity studies to qualify impurities. This can reduce cost, animal use and time, and avoid delays in drug development progression. If the concentration or amount of a metabolite, in animals or human, is similar to that of the known, structurally identical impurity (arising from the administered test material), the qualification of the impurity on the grounds of it also being a metabolite is justified. We propose two complementary approaches to support conclusions to this effect: 1) demonstrate that the impurity is formed by metabolism in animals and/or man, based preferably on plasma exposures or, alternatively, amounts excreted in urine, and, where appropriate, 2) show that animal exposure to (or amount of) the impurity/metabolite is equal or greater in animals than in humans. An important factor of both assessments is the maximum theoretical concentration (or amount) (MTC or MTA) of the impurity/metabolite achievable from the administered dose and recommendations on the estimation of the MTC and MTA are presented.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3R; Degradation product; Drug metabolite; ICH Q3A(R2); ICH Q3B(R2); Impurity; Maximum theoretical concentration; Qualification; Significant metabolite; Specification limit

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Substances:

Year:  2019        PMID: 31734179     DOI: 10.1016/j.yrtph.2019.104524

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  2 in total

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Authors:  David J Ponting; Michael J Burns; Robert S Foster; Rachel Hemingway; Grace Kocks; Donna S MacMillan; Andrew L Shannon-Little; Rachael E Tennant; Jessica R Tidmarsh; David J Yeo
Journal:  Methods Mol Biol       Date:  2022

2.  Safety risk management for low molecular weight process-related impurities in monoclonal antibody therapeutics: Categorization, risk assessment, testing strategy, and process development with leveraging clearance potential.

Authors:  Haibin Luo; Yuling Li; David Robbins; Sheau-Chiann Wang; Guoling Xi; Matthew Cox; Simone M Nicholson; Chenghong Wei; Timothy M Pabst; William K Wang
Journal:  Biotechnol Prog       Date:  2021-01-06
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