Development and validation of a targeted LC-MS/MS quantitation method to monitor cell culture expression of tetanus neurotoxin during vaccine production.

3Rs principles Antibody free protein quantification Consistency approach Targeted LC-MS/MS Tetanus vaccine

Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
01 Jan 2022
Historique:
received: 20 07 2021
revised: 10 09 2021
accepted: 12 09 2021
entrez: 12 10 2021
pubmed: 13 10 2021
medline: 14 10 2021
Statut: ppublish

Résumé

The tetanus neurotoxin (TeNT) is one of the most toxic proteins known to man, which prior to the use of the vaccine against the TeNT producing bacteria Clostridium tetani, resulted in a 20% mortality rate upon infection. The clinical detrimental effects of tetanus have decreased immensely since the introduction of global vaccination programs, which depend on sustainable vaccine production. One of the major critical points in the manufacturing of these vaccines is the stable and reproducible production of high levels of toxin by the bacterial seed strains. In order to minimize time loss, the amount of TeNT is often monitored during and at the end of the bacterial culturing. The different methods that are currently available to assess the amount of TeNT in the bacterial medium suffer from variability, lack of sensitivity, and/or require specific antibodies. In accordance with the consistency approach and the three Rs (3Rs), both aiming to reduce the use of animals for testing, in-process monitoring of TeNT production could benefit from animal and antibody-free analytical tools. In this paper, we describe the development and validation of a new and reliable antibody free targeted LC-MS/MS method that is able to identify and quantify the amount of TeNT present in the bacterial medium during the different production time points up to the harvesting of the TeNT just prior to further upstream purification and detoxification. The quantitation method, validated according to ICH guidelines and by the application of the total error approach, was utilized to assess the amount of TeNT present in the cell culture medium of two TeNT production batches during different steps in the vaccine production process prior to the generation of the toxoid. The amount of TeNT generated under different physical stress conditions applied during bacterial culture was also monitored.

Identifiants

pubmed: 34635263
pii: S0039-9140(21)00804-3
doi: 10.1016/j.talanta.2021.122883
pii:
doi:

Substances chimiques

Tetanus Toxin 0
tetanospasmin 11032-48-7
Metalloendopeptidases EC 3.4.24.-

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

122883

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Antoine Francotte (A)

Department of Expertise and Service Provision, Quality of Vaccines and Blood Products, Sciensano, 14 rue Juliette Wytsman, 1050, Brussels, Belgium; Department of Chemical and Physical Health Risks, Medicines and Health Care Products, Sciensano, 14 rue Juliette Wytsman, 1050, Brussels, Belgium.

Raphael Esson (R)

Sanofi Pasteur, 1541 Avenue Marcel Mérieux, 69280, Marcy l'Etoile, France.

Eric Abachin (E)

Sanofi Pasteur, 1541 Avenue Marcel Mérieux, 69280, Marcy l'Etoile, France.

Melissa Vanhamme (M)

Department of Chemical and Physical Health Risks, Medicines and Health Care Products, Sciensano, 14 rue Juliette Wytsman, 1050, Brussels, Belgium.

Alexandre Dobly (A)

Department of Expertise and Service Provision, Quality of Vaccines and Blood Products, Sciensano, 14 rue Juliette Wytsman, 1050, Brussels, Belgium.

Bruce Carpick (B)

Sanofi Pasteur, 1755 Steeles Ave West, Toronto, Ontario, Canada.

Sylvie Uhlrich (S)

Sanofi Pasteur, 1541 Avenue Marcel Mérieux, 69280, Marcy l'Etoile, France.

Jean-François Dierick (JF)

GSK Vaccines, Parc de la Noire Epine, Avenue Flemming 20, B-1300, Wavre, Belgium.

Celine Vanhee (C)

Department of Chemical and Physical Health Risks, Medicines and Health Care Products, Sciensano, 14 rue Juliette Wytsman, 1050, Brussels, Belgium. Electronic address: celine.vanhee@sciensano.be.

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Classifications MeSH