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通过圆二色光谱的客观比较评估糖缀合物疫苗批次一致性。

Glycoconjugate vaccine batch consistency assessed by objective comparison of circular dichroism spectra.

机构信息

Laboratory for Molecular Structure, National Institute for Biological Standards and Control, Blanche Lane, South Mimms, Herts, EN6 3QG, UK.

出版信息

J Pharm Biomed Anal. 2020 Nov 30;191:113571. doi: 10.1016/j.jpba.2020.113571. Epub 2020 Aug 25.

Abstract

Circular dichroism (CD) spectra of biopharmaceutical protein, or protein conjugate, products contain information about their secondary and tertiary structures, which can answer to increasing regulatory interest in demonstrating consistent higher order structures of production batches. Widespread routine use of CD in a regulatory environment requires objective, statistically based, and validated methods to analyse and compare spectra against product specifications. Correlation approaches to compare spectra, developed and tested on monoclonal antibodies, are here used to assess the consistency of Hib PRP-CRM197 glycoconjugate immunogen batches, by analysis of historical data sets. Deconvolution of spectra into Gaussian peaks was used to model the spectrum and allow a more detailed description of spectral differences. Two groups of spectra [and hence samples] were distinguished. The analyses are discussed in the context of spectral comparison approaches, inter-laboratory studies, potential regulatory use and sources of uncertainty between spectra. Data analysis methods implemented here can also support stability and formulation studies.

摘要

生物制药蛋白质或蛋白质缀合物产品的圆二色性 (CD) 光谱包含有关其二级和三级结构的信息,这些信息可以满足对展示生产批次一致的高级结构的监管兴趣日益增加的需求。为了在监管环境中广泛使用 CD,需要客观、基于统计学且经过验证的方法来分析和比较光谱与产品规格。本文使用已开发并在单克隆抗体上测试的相关方法来评估 Hib PRP-CRM197 糖缀合物免疫原批次的一致性,通过对历史数据集的分析。对光谱进行高斯峰分解以对光谱进行建模,并允许更详细地描述光谱差异。将光谱分成两组 [即样品]。讨论了分析方法在光谱比较方法、实验室间研究、潜在监管用途以及光谱之间的不确定性来源的背景下的应用。此处实施的数据分析方法还可以支持稳定性和配方研究。

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