LC-MS multi-attribute method for characterization of biologics

Xiaobin Xu, Haibo Qiu, Ning Li
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引用次数: 21

Abstract

(mAbs), are complex protein molecules produced from mammalian tissue culture cells through recombinant DNA technology. As a result of naturally-occurring molecular heterogeneity as well as chemical and enzymatic modifications during manufacture, process, and storage, there are many product quality attributes (PQAs) presenting in therapeutic proteins. These PQAs can potentially include: product-related structural heterogeneity related to glycosylation profile, disulfide bond pattern, and higher order structure; product-related degradants and impurities, such as deamidation, oxidation, sequence variants; and process-related impurities and residuals, such as host cell protein (HCP), host cell DNA, and residual protein A [1]. Regulatory agencies have recently recommended a Quality by Design (QbD) approach for the manufacturing of therapeutic molecules [2-5], which requires in-depth understanding of these PQAs at the molecular level to ensure that the drug products meet the desired safety and efficacy profiles [6]. The QbD guidelines require development of a quality target product profile (QTPP) that identifies critical quality attributes (CQAs) and implementation of control strategies to ensure that the QTPP is achieved. QTPP is a prospective summary of the quality characteristics of a drug product to be achieved to ensure the desired quality, safety and efficacy [2]. QTPP describes the design criteria for the product and forms the basis for determination of the CQAs, critical process parameters (CPPs), and control strategy. A CQA is a physical, chemical, biological, or microbiological property or characteristic that should be within an appropriate limit, range, or distribution to ensure the desired product quality [2]. A CQA is identified based on the severity of harm to a patient resulting from failure to meet that quality attribute. Analytical methods to identify and quantify these PQAs, especially CQAs, are essential for the development of QTPP and implementation of control strategies. Conventionally, a panel of analytical techniques such as size-exclusion chromatography (SEC), ion-exchange chromatography (IEX), hydrophobic-interaction chromatography (HIC), or capillary electrophoresis (CE) is typically used to monitor product quality consistency as well as product variants and impurities at the intact protein level [7-9]. Although these chromatographic and electrophoretic methods widely are used as release assays for biologics [10], they cannot directly monitor biologically relevant PQAs at the molecular level, which does not align with QbD principles. The complexity of biologics attributes and the implementation of QbD strategies demand a multi-attribute method (MAM) that can monitor multiple biologics PQAs at the molecular level in a single assay. Coupling liquid chromatography (LC) to high resolution and high accuracy mass spectrometry (MS) techniques, LC-MS based peptide mapping has become a MAM approach that can identify and quantify multiple attributes JOURNAL OF APPLIED BIOANALYSIS, April 2017, p. 21-25. http://dx.doi.org/10.17145/jab.17.003 (ISSN 2405-710X) Vol. 3, No. 2
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生物制剂的LC-MS多属性表征方法
单克隆抗体(mab)是通过重组DNA技术从哺乳动物组织培养细胞中产生的复杂蛋白质分子。由于天然存在的分子异质性以及在制造、加工和储存过程中的化学和酶修饰,治疗蛋白中存在许多产品质量属性(pqa)。这些pqa可能包括:与糖基化谱、二硫键模式和高阶结构相关的与产物相关的结构异质性;与产品相关的降解物和杂质,如脱酰胺、氧化、序列变异;以及过程相关的杂质和残留物,如宿主细胞蛋白(HCP)、宿主细胞DNA和残留蛋白A[1]。监管机构最近推荐了一种治疗性分子制造的质量设计(QbD)方法[2-5],该方法需要在分子水平上深入了解这些pqa,以确保药物产品满足所需的安全性和有效性[6]。QbD指南要求开发质量目标产品概要(QTPP),确定关键质量属性(cqa)并实施控制策略,以确保实现QTPP。QTPP是对药品所要达到的质量特征进行前瞻性总结,以保证其达到预期的质量、安全性和有效性[2]。QTPP描述了产品的设计标准,并构成了确定cqa、关键工艺参数(CPPs)和控制策略的基础。CQA是一种物理、化学、生物或微生物性质或特性,应在适当的限制、范围或分布范围内,以确保所需的产品质量[2]。CQA是根据未能满足该质量属性对患者造成伤害的严重程度来确定的。识别和量化这些pqa,特别是cqa的分析方法对于QTPP的发展和控制策略的实施至关重要。传统上,通常使用一组分析技术,如尺寸排除色谱(SEC)、离子交换色谱(IEX)、疏水相互作用色谱(HIC)或毛细管电泳(CE)来监测产品质量一致性以及完整蛋白质水平上的产品变异和杂质[7-9]。虽然这些色谱和电泳方法被广泛用于生物制剂的释放分析[10],但它们不能在分子水平上直接监测生物学相关的pqa,这与QbD原则不一致。生物制剂属性的复杂性和QbD策略的实施需要一种多属性方法(MAM),可以在单次分析中在分子水平上监测多种生物制剂pqa。将液相色谱(LC)与高分辨率和高精度质谱(MS)技术相结合,基于LC-MS的肽图谱已经成为一种可以识别和量化多种属性的MAM方法。JOURNAL OF APPLIED BIOANALYSIS, 2017, p. 21-25。http://dx.doi.org/10.17145/jab.17.003 (ISSN 2405-710X)第三卷,第2期
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