Liquid Chromatography-Multiple Reaction Monitoring-Mass Spectrometry Assay for Quantitative Measurement of Therapeutic Antibody Cocktail REGEN-COV Concentrations in COVID-19 Patient Serum.

REGEN-COV is a cocktail of two human IgG1 monoclonal antibodies (REGN10933 + REGN10987) that targets severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein and has shown great promise to reduce the SARS-CoV-2 viral load in COVID-19 patients enrolled in clinical studies. A liquid chromatography-multiple reaction monitoring-mass spectrometry (LC-MRM-MS)-based method, combined with trypsin and rAspN dual enzymatic digestion, was developed for the determination of total REGN10933 and total REGN10987 concentrations in several hundreds of pharmacokinetic (PK) serum samples from COVID-19 patients participating in phase I, II, and III clinical studies. The performance characteristics of this bioanalytical assay were evaluated with respect to linearity, accuracy, precision, selectivity, specificity, and analyte stability before and after enzymatic digestion. The developed LC-MRM-MS assay has a dynamic range from 10 to 2000 µg/mL antibody drug in the human serum matrix, which was able to cover the serum drug concentration from day 0 to day 28 after drug administration in two-dose groups for the clinical PK study of REGEN-COV. The concentrations of REGEN-COV in the two-dose groups measured by the LC-MRM-MS assay were comparable to the concentrations measured by a fully validated electrochemiluminescence (ECL) immunoassay.

Identification and Quantification of a Problematic Host Cell Protein to Support Therapeutic Protein Development.

Monitoring of residual host cell proteins (HCPs) in therapeutic protein is essential to ensure product quality, safety and efficacy. Despite the development of advanced mass spectrometry techniques and optimized workflows, identifying and quantifying all problematic HCPs present at low levels remain challenging. Here, we developed a practical, effective strategy for the identification and quantification of low abundance HCPs, which facilitates the improvement of downstream purification process to eliminate potentially problematic HCPs. A case study of using this strategy to investigate a problematic HCP is presented. Initially, a commonly used native digestion approach coupled with UPLC-MS/MS was applied for HCP profiling, wherein several lipases and proteases were identified in a monoclonal antibody named mAb1 in early stages of purification process development. A highly active lipase, liver carboxylesterase (CES), was found to be responsible for polysorbate 80 degradation. To facilitate process improvement, after the identification of CES, we developed a highly sensitive LC-MS/MS-MRM assay with a lower limit of quantification of 0.05 ppm for routine monitoring of the CES in mAb1 produced through the different processes. This workflow was applied in low-level lipase identification and absolute quantification, which facilitated the investigation of polysorbate degradation and downstream purification improvement to further remove the problematic HCP. The current MRM method increased the sensitivity of HCP quantification by over 10-fold that in previously published studies, thus meeting the needs for quantification of problematic HCPs at sub-ppm to ppb levels during drug development. This workflow could be readily adapted to the detection and quantification of other problematic HCPs present at extremely low levels in therapeutic protein drug candidates.

Mapping of discontinuous conformational epitopes by amide hydrogen/deuterium exchange mass spectrometry and computational docking.

Understanding antigen-antibody interactions at the sub-molecular level is of particular interest for scientific, regulatory, and intellectual property reasons, especially with increasing demand for monoclonal antibody therapeutic agents. Although various techniques are available for the determination of an epitope, there is no widely applicable, high-resolution, and reliable method available. Here, a combination approach using amide hydrogen/deuterium exchange coupled with proteolysis and mass spectrometry (HDX-MS) and computational docking was applied to investigate antigen-antibody interactions. HDX-MS is a widely applicable, medium-resolution, medium-throughput technology that can be applied to epitope identification. First, the epitopes of cytochrome c-E8, IL-13-CNTO607, and IL-17A-CAT-2200 interactions identified using the HDX-MS method were compared with those identified by X-ray co-crystal structures. The identified epitopes are in good agreement with those identified using high-resolution X-ray crystallography. Second, the HDX-MS data were used as constraints for computational docking. More specifically, the non-epitope residues of an antigen identified using HDX-MS were designated as binding ineligible during computational docking. This approach, termed HDX-DOCK, gave more tightly clustered docking poses than stand-alone docking for all antigen-antibody interactions examined and improved docking results significantly for the cytochrome c-E8 interaction.

Expansion of time window for mass spectrometric measurement of amide hydrogen/deuterium exchange reactions.

Backbone amide hydrogen exchange rates can be used to describe the dynamic properties of a protein. Amide hydrogen exchange rates in a native protein may vary from milliseconds (ms) to several years. Ideally, the rates of all amide hydrogens of the analyte protein can be determined individually. To achieve this goal, monitoring of a wider time window is critical, in addition to high sequence coverage and high sequence resolution. Significant improvements have been made to hydrogen/deuterium exchange mass spectrometry methods in the past decade for better sequence coverage and higher sequence resolution. On the other hand, little effort has been made to expand the experimental time window to accurately determine exchange rates of amide hydrogens. Many fast exchanging amide hydrogens are completely exchanged before completion of a typical short exchange time point (10-30 s) and many slow exchanging amide hydrogens do not start exchanging before a typical long exchanging time point (1-3 h). Here various experimental conditions, as well as a quenched-flow apparatus, are utilized to monitor cytochrome c amide hydrogen exchange behaviors over more than eight orders of magnitude (0.0044-1 000 000 s), when converted into the standard exchange condition (pH 7 and 23°C).

A novel bispecific antibody platform to direct complement activity for efficient lysis of target cells.

Harnessing complement-mediated cytotoxicity by therapeutic antibodies has been limited because of dependency on size and density of antigen, structural constraints resulting from orientation of antibody binding, and blockade of complement activation by inhibitors expressed on target cells. We developed a modular bispecific antibody platform that directs the complement-initiating protein C1q to target cells, increases local complement deposition and induces cytotoxicity against target antigens with a wide-range of expression. The broad utility of this approach to eliminate both prokaryotic and eukaryotic cells was demonstrated by pairing a unique C1q-recruiting arm with multiple targeting arms specific for Staphylococcus aureus, Pseudomonas aeruginosa, B-cells and T-cells, indicating applicability for diverse indications ranging from infectious diseases to cancer. Generation of C1q humanized mice allowed for demonstration of the efficacy of this approach to clear disease-inducing cells in vivo. In summary, we present a novel, broadly applicable, and versatile therapeutic modality for targeted cell depletion.

Determination of Backbone Amide Hydrogen Exchange Rates of Cytochrome c Using Partially Scrambled Electron Transfer Dissociation Data.

The technological goal of hydrogen/deuterium exchange-mass spectrometry (HDX-MS) is to determine backbone amide hydrogen exchange rates. The most critical challenge to achieve this goal is obtaining the deuterium incorporation in single-amide resolution, and gas-phase fragmentation may provide a universal solution. The gas-phase fragmentation may generate the daughter ions which differ by a single amino acid and the difference in deuterium incorporations in the two analogous ions can yield the deuterium incorporation at the sub-localized site. Following the pioneering works by Jørgensen and Rand, several papers utilized the electron transfer dissociation (ETD) to determine the location of deuterium in single-amide resolution. This paper demonstrates further advancement of the strategy by determining backbone amide hydrogen exchange rates, instead of just determining deuterium incorporation at a single time point, in combination with a wide time window monitoring. A method to evaluate the effects of scrambling and to determine the exchange rates from partially scrambled HDX-ETD-MS data is described. All parent ions for ETD fragmentation were regio-selectively scrambled: The deuterium in some regions of a peptide ion was scrambled while that in the other regions was not scrambled. The method determined 31 backbone amide hydrogen exchange rates of cytochrome c in the non-scrambled regions. Good fragmentation of a parent ion, a low degree of scrambling, and a low number of exchangeable hydrogens in the preceding side chain are the important factors to determine the exchange rate. The exchange rates determined by the HDX-MS are in good agreement with those determined by NMR. Graphical Abstract ᅟ.

Evidence for a common mechanism of SIRT1 regulation by allosteric activators.

A molecule that treats multiple age-related diseases would have a major impact on global health and economics. The SIRT1 deacetylase has drawn attention in this regard as a target for drug design. Yet controversy exists around the mechanism of sirtuin-activating compounds (STACs). We found that specific hydrophobic motifs found in SIRT1 substrates such as PGC-1α and FOXO3a facilitate SIRT1 activation by STACs. A single amino acid in SIRT1, Glu(230), located in a structured N-terminal domain, was critical for activation by all previously reported STAC scaffolds and a new class of chemically distinct activators. In primary cells reconstituted with activation-defective SIRT1, the metabolic effects of STACs were blocked. Thus, SIRT1 can be directly activated through an allosteric mechanism common to chemically diverse STACs.