Multi-attribute method (MAM) to assess analytical comparability of adalimumab biosimilars.


Journal

Journal of pharmaceutical and biomedical analysis
ISSN: 1873-264X
Titre abrégé: J Pharm Biomed Anal
Pays: England
ID NLM: 8309336

Informations de publication

Date de publication:
20 Sep 2023
Historique:
received: 25 04 2023
revised: 12 06 2023
accepted: 20 06 2023
medline: 28 8 2023
pubmed: 30 6 2023
entrez: 29 6 2023
Statut: ppublish

Résumé

Adalimumab drug product (Humira ®), the first fully human monoclonal antibody (mAb) approved by FDA in 2002, led the top ten list of best-selling mAbs in 2018 and has been the most profitable drug in the world. With the expiration of patent protection in Europe in 2018 and in United States by 2023, the landscape is changing as up to 10 adalimumab biosimilars are expected to enter the market in the US. Biosimilars offer the potential to lower costs on health care systems and increase patient accessibility. The analytical similarity of seven different adalimumab biosimilars was accomplished in the present study using the multi-attribute method (MAM), a LC-MS based peptide mapping technique that allows for primary sequence assessment and evaluation of multiple quality attributes including deamidation, oxidation, succinimide formation, N- and C- terminal composition and detailed N-glycosylation analysis. In the first step, characterization of the most relevant post-translational modifications of a reference product was attained during the discovery phase of MAM. During the second step, as part of the MAM targeted monitoring phase, adalimumab batch-to batch variability was evaluated to define statistical intervals for the establishment of similarity ranges. The third step describes biosimilarity evaluation of predefined quality attributes and new peak detection for the assessment of any new or modified peak compared to the reference product. This study highlights a new perspective of the MAM approach and its underlying power for biotherapeutic comparability exercises in addition to analytical characterization. MAM offers a streamlined comparability assessment workflow based on high-confidence quality attribute analysis using high-resolution accurate mass mass spectrometry (HRAM MS) and the capability to detect any new or modified peak compared to the reference product.

Identifiants

pubmed: 37385093
pii: S0731-7085(23)00312-6
doi: 10.1016/j.jpba.2023.115543
pii:
doi:

Substances chimiques

Adalimumab FYS6T7F842
Biosimilar Pharmaceuticals 0
Antibodies, Monoclonal 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

115543

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Jonathan Bones reports financial support and equipment, or supplies that were provided by Thermo Fisher Scientific Inc.

Auteurs

Silvia Millán-Martín (S)

National Institute for Bioprocessing Research & Training, Fosters Avenue, Mount Merrion, Blackrock, A94 X099 Dublin, Ireland.

Craig Jakes (C)

National Institute for Bioprocessing Research & Training, Fosters Avenue, Mount Merrion, Blackrock, A94 X099 Dublin, Ireland.

Sara Carillo (S)

National Institute for Bioprocessing Research & Training, Fosters Avenue, Mount Merrion, Blackrock, A94 X099 Dublin, Ireland.

Jonathan Bones (J)

National Institute for Bioprocessing Research & Training, Fosters Avenue, Mount Merrion, Blackrock, A94 X099 Dublin, Ireland; School of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland. Electronic address: jonathan.bones@nibrt.ie.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH