Host cell protein quantification workflow using optimized standards combined with data-independent acquisition mass spectrometry - DSA-IPHC Accéder directement au contenu
Article Dans Une Revue Journal of Pharmaceutical Analysis Année : 2023

Host cell protein quantification workflow using optimized standards combined with data-independent acquisition mass spectrometry

Résumé

Monitoring of host cell proteins (HCPs) during the manufacturing of monoclonal antibodies (mAb) has become a critical requirement to provide effective and safe drug products. Enzyme-linked immunosorbent assays are still the gold standard methods for the quantification of protein impurities. However, this technique has several limitations and does, among others, not enable the precise identification of proteins. In this context, mass spectrometry (MS) became an alternative and orthogonal method that delivers qualitative and quantitative information on all identified HCPs. However, in order to be routinely implemented in biopharmaceutical companies, liquid chromatography-MS based methods still need to be standardized to provide highest sensitivity and robust and accurate quantification. Here, we present a promising MS-based analytical workflow coupling the use of an innovative quantification standard, the HCP Profiler solution, with a spectral library-based data-independent acquisition (DIA) method and strict data validation criteria. The performances of the HCP Profiler solution were compared to more conventional standard protein spikes and the DIA approach was benchmarked against a classical datadependent acquisition on a series of samples produced at various stages of the manufacturing process. While we also explored spectral library-free DIA interpretation, the spectral library-based approach still showed highest accuracy and reproducibility (coefficients of variation < 10%) with a sensitivity down to the sub-ng/mg mAb level. Thus, this workflow is today mature to be used as a robust and straightforward method to support mAb manufacturing process developments and drug products quality control.

Domaines

Chimie
Fichier principal
Vignette du fichier
Hessmann_et_al.pdf (1.26 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-04296451 , version 1 (20-11-2023)

Identifiants

Citer

Steve Hessmann, Cyrille Chery, Anne-Sophie Sikora, Annick Gervais, Christine Carapito. Host cell protein quantification workflow using optimized standards combined with data-independent acquisition mass spectrometry. Journal of Pharmaceutical Analysis, 2023, 13 (5), pp.494-502. ⟨10.1016/j.jpha.2023.03.009⟩. ⟨hal-04296451⟩
19 Consultations
19 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More