HPLC-MS/MS-based quantification of human monoclonal antibodies targeting SARS-CoV-2 in the presence of endogenous SARS-CoV-2 antibodies in human serum.

Abstract

Antibodies for treatment and prophylaxis against SARS-CoV-2 are needed particularly for immunocompromised individuals, who cannot adequately benefit from vaccination. To address this need, Aerium Therapeutics is developing antibodies targeting the SARS-CoV-2 spike protein. A bioanalytical method to quantify fully human monoclonal antibodies in a population with widely varying anti-spike antibody titers is required to investigate the pharmacokinetics of these antibodies in clinical trials. To eliminate interference from endogenous anti-spike protein antibodies, an HPLC-MS/MS assay was developed to quantify the investigational monoclonal antibodies (AER001 and AER002) by targeting signature peptides spanning the monoclonal antibodies' CDR regions. By optimizing and comparing affinity capture and ammonium sulphate precipitation, it was demonstrated that both procedures allowed accurate and precise quantification of AER001 and AER002 in human serum with comparable sensitivity. Ammonium sulphate precipitation outperformed immunocapture due to its simplicity and speed at lower cost and a full bioanalytical method validation was performed in human serum. The assay was also validated for human nasal lining fluid extract with a 50-fold lower limit of quantification and was shown to deliver similar sensitivity to previously published affinity capture HPLC-MS/MS assays. Finally, the CDR-derived signature peptides were also generated by tryptic digestion of blank serum in some individuals, an important caveat for HPLC-MS/MS strategies targeting human monoclonal antibodies. In summary, the presented results show that ammonium sulphate precipitation and HPLC-MS/MS allow accurate and precise quantification of monoclonals in clinical studies. The developed methods demonstrate that HPLC-MS/MS can reliably quantify human monoclonal antibodies even when endogenous antibodies with overlapping specificities are present and are crucial for the clinical testing of two investigational COVID-19 monoclonals.