Author
Listed:
- Sara Stinca
- Thomas W Barnes
- Peter Vogel
- Wilfried Meyers
- Johannes Schulte-Pelkum
- Daniel Filchtinski
- Laura Steller
- Thomas Hauser
- Sandro Manni
- David F Gardiner
- Sharon Popik
- Nathan J Roth
- Patrick Schuetz
Abstract
Background: Plasma-derived intravenous immunoglobulin (IVIg) products contain a dynamic spectrum of immunoglobulin (Ig) G reactivities reflective of the donor population from which they are derived. We sought to model the concentration of anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgG which could be expected in future plasma pool and final-product batches of CSL Behring’s immunoglobulin product Privigen. Study design and methods: Data was extracted from accessible databases, including the incidence of coronavirus disease 2019 and SARS-CoV-2 vaccination status, antibody titre in convalescent and vaccinated groups and antibody half-life. Together, these parameters were used to create an integrated mathematical model that could be used to predict anti-SARS-CoV-2 antibody levels in future IVIg preparations. Results: We predict that anti-SARS-CoV-2 IgG concentration will peak in batches produced in mid-October 2021, containing levels in the vicinity of 190-fold that of the mean convalescent (unvaccinated) plasma concentration. An elevated concentration (approximately 35-fold convalescent plasma) is anticipated to be retained in batches produced well into 2022. Measurement of several Privigen batches using the Phadia™ EliA™ SARS-CoV-2-Sp1 IgG binding assay confirmed the early phase of this model. Conclusion: The work presented in this paper may have important implications for physicians and patients who use Privigen for indicated diseases.
Suggested Citation
Sara Stinca & Thomas W Barnes & Peter Vogel & Wilfried Meyers & Johannes Schulte-Pelkum & Daniel Filchtinski & Laura Steller & Thomas Hauser & Sandro Manni & David F Gardiner & Sharon Popik & Nathan J, 2021.
"Modelling the concentration of anti-SARS-CoV-2 immunoglobulin G in intravenous immunoglobulin product batches,"
PLOS ONE, Public Library of Science, vol. 16(11), pages 1-11, November.
Handle:
RePEc:plo:pone00:0259731
DOI: 10.1371/journal.pone.0259731
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