Li Yihan, Villafuerte-Vega Rosendo, Shenoy Vikram M, Jackson Heidi M, Wang Yuting, Parrish Karen E, Jenkins Gary J, Sarvaiya Hetal
Department of Quantitative, Translational & ADME Sciences, AbbVie, South San Francisco, CA, USA.
Department of Chemistry, University of Michigan, Ann Arbor, MI, USA.
MAbs. 2025 Dec;17(1):2479529. doi: 10.1080/19420862.2025.2479529. Epub 2025 Mar 17.
Antibody-based therapeutics have demonstrated remarkable therapeutic benefit, but their susceptibility to biotransformation and degradation in the body can affect their safety, efficacy, and pharmacokinetic/pharmacodynamic (PK/PD) profiles. stability assessments play a pivotal role in proactively identifying potential liabilities of antibody therapeutics prior to animal studies. Liquid chromatography-mass spectrometry (LC-MS)-based stability assays has been developed and adopted in the biopharmaceutical industry for the characterization of antibody-based therapeutics. However, these methodologies often overlook operational error and random variation during sample preparation and analysis, leading to inaccurate stability estimation. To address this limitation, we have developed an LC-MS-based serum stability assessment that incorporates two internal standards (ISs), National Institute of Standards and Technology monoclonal antibody (NISTmAb) and its crystallizable fragment (Fc), to improve assay performance. Our method involves three steps: incubation of antibody therapeutics along with an IS in biological matrices, affinity purification, and LC-MS analysis. The stability of 21 monoclonal or bispecific antibodies was assessed in serums of preclinical species using this method. Our results showed improved accuracy and precision of recovery calculations with the incorporation of ISs, enabling a more confident stability assessment even in the absence of biotransformation or aggregation. stability correlated with exposure, suggesting that this assay could serve as a routine screening tool to select and advance stable antibody therapeutic candidates for subsequent studies.
基于抗体的治疗药物已显示出显著的治疗效果,但其在体内易发生生物转化和降解,这可能会影响其安全性、有效性以及药代动力学/药效学(PK/PD)特征。稳定性评估在动物研究之前主动识别抗体治疗药物的潜在风险方面起着关键作用。基于液相色谱 - 质谱(LC - MS)的稳定性测定方法已在生物制药行业中开发并用于表征基于抗体的治疗药物。然而,这些方法在样品制备和分析过程中常常忽略操作误差和随机变化,导致稳定性估计不准确。为了解决这一局限性,我们开发了一种基于LC - MS的血清稳定性评估方法,该方法纳入了两种内标(ISs),即美国国家标准与技术研究院单克隆抗体(NISTmAb)及其可结晶片段(Fc),以提高测定性能。我们的方法包括三个步骤:将抗体治疗药物与一种内标在生物基质中孵育、亲和纯化以及LC - MS分析。使用该方法在临床前物种的血清中评估了21种单克隆或双特异性抗体的稳定性。我们的结果表明,纳入内标后回收率计算的准确性和精密度得到了提高,即使在没有生物转化或聚集的情况下也能进行更可靠的稳定性评估。稳定性与暴露相关,这表明该测定方法可作为一种常规筛选工具,用于选择和推进稳定的抗体治疗候选药物以供后续研究。