Sheikhy Morasa, Schrieber Sarah J, Sun Qin, Gershuny Victoria, Matta Murali K, Bai Jane P F, Du Xiulian, Vegesna Giri, Shah Aanchal, Prentice Kristin, Nalepinski Colleen, Zineh Issam, Wang Yow-Ming, Strauss David G, Florian Jeffry
Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Office of Therapeutic Biologics and Biosimilars, Office of New Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Clin Pharmacol Ther. 2023 Jan;113(1):71-79. doi: 10.1002/cpt.2769. Epub 2022 Nov 15.
US Food and Drug Administration (FDA) guidance outlines how biosimilars can be developed based on pharmacokinetic (PK) and pharmacodynamic (PD) similarity study data in lieu of a comparative clinical efficacy study. There is a paucity of PD comparability studies in biosimilar development, leaving open questions about how best to plan these studies. To that end, we conducted a randomized, double-blinded, placebo-controlled, single-dose, parallel-arm clinical study in healthy participants to evaluate approaches to address information gaps, inform analysis best practices, and apply emerging technologies in biomarker characterization. Seventy-two healthy participants (n = 8 per arm) received either placebo or one of four doses of the proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors alirocumab (15-100 mg) or evolocumab (21-140 mg) to evaluate the maximum change from baseline (ΔPD ) and the baseline-adjusted area under the effect curve (AUEC) for the biomarkers low-density lipoprotein cholesterol (LDL-C) and apolipoprotein B (apoB) in serum. We investigated approaches to minimize variability in PD measures. Coefficient of variation was lower for LDL-C than apoB at therapeutic doses. Modeling and simulation were used to establish the dose-response relationship and provided support that therapeutic doses for these products are adequately sensitive and are on the steep part of the dose-response curves. Similar dose-response relationships were observed for both biomarkers. ΔPD plateaued at lower doses than AUEC. In summary, this study illustrates how pilot study data can be leveraged to inform appropriate dosing and data analyses for a PK and PD similarity study.
美国食品药品监督管理局(FDA)指南概述了如何基于药代动力学(PK)和药效学(PD)相似性研究数据来开发生物类似药,以替代比较性临床疗效研究。在生物类似药开发中,PD可比性研究较少,这使得如何最佳规划这些研究仍存在疑问。为此,我们在健康参与者中开展了一项随机、双盲、安慰剂对照、单剂量、平行组临床研究,以评估解决信息缺口的方法,为最佳分析实践提供信息,并在生物标志物表征中应用新兴技术。72名健康参与者(每组n = 8)接受安慰剂或四种剂量之一的前蛋白转化酶枯草溶菌素/九型(PCSK9)抑制剂阿利西尤单抗(15 - 100mg)或依洛尤单抗(21 - 140mg),以评估血清中生物标志物低密度脂蛋白胆固醇(LDL-C)和载脂蛋白B(apoB)相对于基线的最大变化(ΔPD)以及效应曲线下基线调整面积(AUEC)。我们研究了使PD测量变异性最小化的方法。在治疗剂量下,LDL-C的变异系数低于apoB。使用建模和模拟来建立剂量反应关系,并支持这些产品的治疗剂量具有足够的敏感性且处于剂量反应曲线的陡峭部分。两种生物标志物均观察到相似的剂量反应关系。ΔPD比AUEC在更低剂量时达到平台期。总之,本研究说明了如何利用预试验数据为PK和PD相似性研究的适当给药和数据分析提供信息。