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Modelling the concentration of anti-SARS-CoV-2 immunoglobulin G in intravenous immunoglobulin product batches.
Stinca, Sara; Barnes, Thomas W; Vogel, Peter; Meyers, Wilfried; Schulte-Pelkum, Johannes; Filchtinski, Daniel; Steller, Laura; Hauser, Thomas; Manni, Sandro; Gardiner, David F; Popik, Sharon; Roth, Nathan J; Schuetz, Patrick.
  • Stinca S; Department of Bioanalytical Sciences, Plasma Product Development, Research & Development, CSL Behring AG, Bern, Switzerland.
  • Barnes TW; Department of Bioanalytical Sciences, Plasma Product Development, Research & Development, CSL Behring AG, Bern, Switzerland.
  • Vogel P; Global Digital Core, Plasma Product Development, Research & Development, CSL Behring Innovation GmbH, Marburg, Germany.
  • Meyers W; Global Digital Core, Plasma Product Development, Research & Development, CSL Behring Innovation GmbH, Marburg, Germany.
  • Schulte-Pelkum J; Assay Design, Thermo Fisher Scientific ImmunoDiagnostics Phadia GmbH, Freiburg, Germany.
  • Filchtinski D; Assay Design, Thermo Fisher Scientific ImmunoDiagnostics Phadia GmbH, Freiburg, Germany.
  • Steller L; Assay Design, Thermo Fisher Scientific ImmunoDiagnostics Phadia GmbH, Freiburg, Germany.
  • Hauser T; Department of Bioanalytical Sciences, Plasma Product Development, Research & Development, CSL Behring AG, Bern, Switzerland.
  • Manni S; Department of Bioanalytical Sciences, Plasma Product Development, Research & Development, CSL Behring AG, Bern, Switzerland.
  • Gardiner DF; Immunology, CSL Behring, King of Prussia, Pennsylvania, United States of America.
  • Popik S; Immunology, CSL Behring, King of Prussia, Pennsylvania, United States of America.
  • Roth NJ; Department of Bioanalytical Sciences, Plasma Product Development, Research & Development, CSL Behring AG, Bern, Switzerland.
  • Schuetz P; Department of Bioanalytical Sciences, Plasma Product Development, Research & Development, CSL Behring AG, Bern, Switzerland.
PLoS One ; 16(11): e0259731, 2021.
Article en En | MEDLINE | ID: mdl-34843493
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.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inmunoglobulina G / Inmunoglobulinas Intravenosas / SARS-CoV-2 / COVID-19 / Modelos Biológicos / Anticuerpos Antivirales Tipo de estudio: Prognostic_studies Límite: Adult / Humans / Middle aged Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inmunoglobulina G / Inmunoglobulinas Intravenosas / SARS-CoV-2 / COVID-19 / Modelos Biológicos / Anticuerpos Antivirales Tipo de estudio: Prognostic_studies Límite: Adult / Humans / Middle aged Idioma: En Año: 2021 Tipo del documento: Article