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Identification and Quantification of Oxidation Products in Full-Length Biotherapeutic Antibodies by NMR Spectroscopy.

ABSTRACT: Therapeutic proteins are an indispensable class of drugs and often therapeutics of last resort. They are sensitive to oxidation, which is of critical concern, because it can affect drug safety and efficacy. Protein oxidation, with methionine and tryptophan as the most susceptible moieties, is mainly monitored by HPLC-MS techniques. However, since several oxidation products display the same mass difference, their identification by MS is often ambiguous. Therefore, an alternative analytical method able to unambiguously identify and, ideally, also quantify oxidation species in proteins is highly desired. Here, we present an NMR-based approach to monitor oxidation in full-length proteins under denaturing conditions, as demonstrated on two biotherapeutic monoclonal antibodies (mAbs). We show that methionine sulfoxide, methionine sulfone, N-formylkynurenine, kynurenine, oxindolylalanine, hydroxypyrroloindole, and 5-hydroxytryptophan result in characteristic chemical shift correlations suited for their identification and quantification. We identified the five most abundant oxidation products in forced degradation studies of two full-length therapeutic mAbs and can also unambiguously distinguish oxindolylalanine from 5-hydroxytryptophan, which are undistinguishable by MS due to the same mass shift. Quantification of the abundant methionine sulfoxide by NMR and MS gave highly comparable values. These results underline the suitability of NMR spectroscopy for the identification and quantification of critical quality attributes of biotherapeutics.

SUBMITTER: Hinterholzer A

PROVIDER: S-EPMC7467420 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Identification and Quantification of Oxidation Products in Full-Length Biotherapeutic Antibodies by NMR Spectroscopy.

Hinterholzer Arthur A Stanojlovic Vesna V Regl Christof C Huber Christian G CG Cabrele Chiara C Schubert Mario M

Analytical chemistry 20200630 14

Therapeutic proteins are an indispensable class of drugs and often therapeutics of last resort. They are sensitive to oxidation, which is of critical concern, because it can affect drug safety and efficacy. Protein oxidation, with methionine and tryptophan as the most susceptible moieties, is mainly monitored by HPLC-MS techniques. However, since several oxidation products display the same mass difference, their identification by MS is often ambiguous. Therefore, an alternative analytical method ...[more]

PMID: 32530275

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Project description:Diffusion-ordered NMR spectroscopy (DOSY) can be used to analyze mixtures of compounds since resonances deriving from different compounds are distinguished by their diffusion coefficients (D). Previously, DOSY has mostly been used for organometallic and polymer analysis, we have now applied DOSY to investigate diffusion coefficients of structurally diverse organic compounds such as natural products (NP). The experimental Ds derived from 55 diverse NPs has allowed us to establish a power law relationship between D and molecular weight (MW) and therefore predict MW from experimental D. We have shown that D is also affected by factors such as hydrogen bonding, molar density and molecular shape of the compound and we have generated new models that incorporate experimentally derived variables for these factors so that more accurate predictions of MW can be calculated from experimental D. The recognition that multiple physicochemical properties affect D has allowed us to generate a polynomial equation based on multiple linear regression analysis of eight calculated physicochemical properties from 63 compounds to accurately correlate predicted D with experimental D for any known organic compound. This equation has been used to calculate predicted D for 217 043 compounds present in a publicly available natural product database (DEREP-NP) and to dereplicate known NPs in a mixture based on matching of experimental D and structural features derived from NMR analysis with predicted D and calculated structural features in the database. These models have been validated by the dereplication of a mixture of two known sesquiterpenes obtained from Tasmannia xerophila and the identification of new alkaloids from the bryozoan Amathia lamourouxi. These new methodologies allow the MW of compounds in mixtures to be predicted without the need for MS analysis, the dereplication of known compounds and identification of new compounds based solely on parameters derived by DOSY NMR.

Dataset Information

Identification and Quantification of Oxidation Products in Full-Length Biotherapeutic Antibodies by NMR Spectroscopy.

Publications

Identification and Quantification of Oxidation Products in Full-Length Biotherapeutic Antibodies by NMR Spectroscopy.

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