PO.ET07.01 · 实验与分子治疗
用于ADC体内药代动力学分析的灵敏MSD-ECL平台
A sensitive MSD-ECL platform for in vivo pharmacokinetic profiling of ADCs
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
抗体药物偶联物(ADC)是一类快速发展的靶向抗癌治疗药物,它将单克隆抗体的特异性与小分子细胞毒药物的效力相结合。ADC在体循环中保持稳定至关重要,以防止载荷过早释放,后者可导致脱靶毒性和疗效降低。ADC的药代动力学(PK)行为受多种因素影响,如抗体结构异质性、连接子类型及载荷的理化性质。稳定性是直接影响给药策略、治疗窗口和临床结局的关键质量属性。因此,稳健且灵敏的分析平台对于随时间监测ADC完整性和载荷释放至关重要。虽然传统的基于ELISA的方法被广泛使用,但它们往往缺乏检测循环过程中ADC组成细微变化所需的灵敏度和动态范围。在本研究中,我们使用Meso Scale Discovery®(MSD)平台,该平台采用基于板的电化学发光(ECL)技术,以评估ADC的体内PK和稳定性。通过将该技术应用于临床前体内模型,我们旨在生成高分辨率的PK图谱和稳定性数据,以支持ADC的合理设计和优化,用于临床开发。
使用标准1-Spot SECTOR板,通过包被特异性捕获抗体来检测抗体骨架。使用Small Spot链霉亲和素SECTOR板,通过抗载荷抗体捕获分子来检测完整的ADC。在两种实验中,均使用磺酸标记的抗人IgG抗体进行检测。优化设置后,其对抗体和完整ADC均显示出4-5个数量级的宽动态范围,检测下限低于100 pg/mL。随后的体内PK研究涉及通过单次静脉注射向SCID beige小鼠给予ADC。血清样本在含1% BSA的PBS中以1:1000稀释,每孔加样25 µL于MSD板上。这一高稀释倍数允许每个时间点采集极少的血量,从而减少所需动物数量。该实验显示出优异的重现性,重复间变异极小。为进一步提高结果的相关性,未来的研究可能使用mFcRn⁻/⁻ hFcRn转基因小鼠或HSA/hFcRn/hFcgammaR三重转基因模型。这些模型能更准确地反映人IgG的血清半衰期,并与来自食蟹猴和人的数据良好相关。
总之,这一基于MSD的实验平台为ADC的体内PK分析提供了一种高灵敏度、高重现性且节省动物的方法。使用人源化小鼠模型有望进一步改进该方法,以提高临床预测性。
查看英文原文 English abstract
Antibody-drug conjugates (ADCs) are a rapidly evolving class of targeted cancer therapeutics that combine the specificity of monoclonal antibodies with the potency of small-molecule cytotoxic drugs. It is critical for ADCs to be stable in the systemic circulation in order to prevent premature release of the payload, which can lead to off-target toxicity and reduced therapeutic efficacy. The pharmacokinetic (PK) behavior of ADCs is influenced by several factors, such as antibody structural heterogeneity, linker type, and payload physicochemical properties. Stability is a key quality attribute that directly affects dosing strategies, the therapeutic window, and clinical outcomes. Therefore, robust and sensitive analytical platforms are essential for monitoring ADC integrity and payload release over time. While traditional ELISA-based methods are widely used, they often lack the sensitivity and dynamic range required to detect subtle changes in ADC composition during circulation. In this study, we use the Meso Scale Discovery® (MSD) platform, which uses plate-based electrochemiluminescence (ECL) technology, to evaluate the in vivo PK and stability of ADCs. By applying this technology to preclinical in vivo models, we aim to generate high-resolution PK profiles and stability data that support the rational design and optimization of ADCs for clinical development.
Standard 1-Spot SECTOR plates were used to detect the antibody backbone by coating them with a specific capture antibody. Small Spot Streptavidin SECTOR plates were used to detect the intact ADC, capturing the molecule via anti-payload antibodies. In both assays, detection was performed using a sulfo-tagged anti-human IgG antibody. After optimizing the setup, it demonstrated a broad dynamic range of 4-5 orders of magnitude and a lower limit of detection of less than 100 pg/mL for both the antibody and the intact ADC. Subsequent in vivo PK studies involved administering ADCs via a single intravenous injection to SCID beige mice. Serum samples were diluted 1:1000 in PBS containing 1% BSA, and 25 µL per well was applied to the MSD plates. This high dilution factor permits minimal blood volume collection per time point, thereby reducing the number of animals required. The assay demonstrated excellent reproducibility with minimal variability between replicates. To further increase the relevance of the results, future studies may use mFcRn⁻/⁻ hFcRn transgenic mice or HSA/hFcRn/hFcgammaR triple transgenic models. These models more accurately reflect the serum half-life of human IgG and correlate well with data from cynomolgus monkeys and humans.
In summary, this MSD-based assay platform offers a highly sensitive and reproducible approach for in vivo PK analysis of ADCs that spares animals. There is potential to further refine this approach using humanized mouse models to improve clinical predictability.
利益披露 Disclosure
C. N. Castro,
Reaction Biology Europe GmbH Employment.
J. Hummel,
Reaction Biology Europe GmbH Employment.
P. Metzger,
Reaction Biology Europe GmbH Employment.
C. Obodozie,
Reaction Biology Europe GmbH Employment.
H. Weber,
Reaction Biology Europe GmbH Employment.