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Non-constant mean relative potency for antibody-dependent cellular cytotoxicity assays.
Faya, Paul; Zhang, Tianhui; Walton, Wendy; Novick, Steven.
Afiliación
  • Faya P; Global Statistical Sciences, Eli Lilly and Company, Indianapolis, IN, USA.
  • Zhang T; Global Statistical Sciences, Eli Lilly and Company, Indianapolis, IN, USA.
  • Walton W; Bioproduct Research and Development, Eli Lilly and Company, Indianapolis, IN, USA.
  • Novick S; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA.
J Biopharm Stat ; : 1-12, 2024 Sep 22.
Article en En | MEDLINE | ID: mdl-39306756
ABSTRACT
Bioassays are regulated, analytical methods used to ensure proper activity (potency) of biological products at release and during long-term storage. Potency is commonly reported on a relative basis by comparing and calibrating a concentration-response curve from the test material to that of a reference standard material. The relative potency approach depends on an assumption that the two concentration-response curves exhibit similar (equivalent) shapes, except for a potency shift. In certain circumstances, however, biological factors preclude the similarity assumption, and the traditional approach becomes unworkable. The antibody-mediated cytotoxicity assay is one example where the similarity assumption does not always hold. Other examples also arise in the fields of toxicology and pharmacology. In this work, we present a non-constant mean relative potency approach which averages the relative potency across a common range of the concentration-response curves. The proposed method captures the changing nature of the relative potency into a summary statistic that can be reported for batch calibration and quality control purposes. We provide inferential methods for this statistic and summarize the results of a simulation comparing these methods across a number of non-constant relative potency scenarios and assay conditions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Biopharm Stat Asunto de la revista: FARMACOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Biopharm Stat Asunto de la revista: FARMACOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido