Non-constant mean relative potency for antibody-dependent cellular cytotoxicity assays.

IF 1.2 4区 医学 Q4 PHARMACOLOGY & PHARMACY
Paul Faya, Tianhui Zhang, Wendy Walton, Steven Novick
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引用次数: 0

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.

抗体依赖性细胞毒性试验的非恒定平均相对效力。
生物测定是一种规范的分析方法,用于确保生物制品在释放和长期储存期间具有适当的活性(效价)。通常通过比较和校准试验材料与参考标准材料的浓度-反应曲线来报告相对效价。相对效价法取决于这样一个假设,即除了效价移动外,两条浓度-反应曲线的形状相似(等效)。然而,在某些情况下,生物因素排除了相似性假设,传统方法变得行不通。抗体介导的细胞毒性检测就是一个相似性假设并不总是成立的例子。其他例子还出现在毒理学和药理学领域。在这项工作中,我们提出了一种非恒定平均相对效力方法,该方法在浓度-反应曲线的共同范围内平均相对效力。所提出的方法能将相对效价的变化性质捕捉到一个汇总统计量中,该统计量可用于批次校准和质量控制报告。我们提供了该统计量的推断方法,并总结了在多种非恒定相对效价情况和检测条件下比较这些方法的模拟结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biopharmaceutical Statistics
Journal of Biopharmaceutical Statistics 医学-统计学与概率论
CiteScore
2.50
自引率
18.20%
发文量
71
审稿时长
6-12 weeks
期刊介绍: The Journal of Biopharmaceutical Statistics, a rapid publication journal, discusses quality applications of statistics in biopharmaceutical research and development. Now publishing six times per year, it includes expositions of statistical methodology with immediate applicability to biopharmaceutical research in the form of full-length and short manuscripts, review articles, selected/invited conference papers, short articles, and letters to the editor. Addressing timely and provocative topics important to the biostatistical profession, the journal covers: Drug, device, and biological research and development; Drug screening and drug design; Assessment of pharmacological activity; Pharmaceutical formulation and scale-up; Preclinical safety assessment; Bioavailability, bioequivalence, and pharmacokinetics; Phase, I, II, and III clinical development including complex innovative designs; Premarket approval assessment of clinical safety; Postmarketing surveillance; Big data and artificial intelligence and applications.
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