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在准确评估肽类治疗药物中的杂质时实施相对响应因子(RRF)的迫切需求。

The Critical Need for Implementing RRF in the Accurate Assessment of Impurities in Peptide Therapeutics.

作者信息

Kumar Kuril Akhilesh

机构信息

Flamma USA, Phoenixville Pike, Malvern, Pennsylvania 19355, United States.

出版信息

Anal Chem. 2025 Jun 24;97(24):12480-12485. doi: 10.1021/acs.analchem.5c02149. Epub 2025 Jun 11.

Abstract

The Relative Response Factor (RRF) is a critical parameter in the quantification of impurities in peptides and other pharmaceutical substances, particularly during High-Performance Liquid Chromatography (HPLC) analysis with UV detection. Impurity profiling is crucial for ensuring the safety, efficacy, and quality of peptide drugs. Impurities (process/degradation) in peptide drug products originate due to insertion, truncation, deamidation, isomerization, oxidation, and manufacturing processes that may not have equal responses (RRF ≥ 1 or RRF ≤ 1) compared to their main analyte; hence, the RRF determination is necessary to ensure accurate impurity quantification by accounting for differences in detector responses between the main analyte (e.g., peptide) and its impurities. The use of RRF allows for quantifying trace-level impurities relative to the peptide API and ensuring compliance with stringent quality standards for therapeutic peptides. RRF ensures that the quantification of impurities is not skewed by differences in molecular weight, detector sensitivity, or chromatographic conditions. By applying the RRF value by default as 1, impurity estimation results may be overestimated (actual RRF > 1) or underestimated (actual RRF < 1) in peptide therapeutics. Failure to accurately quantify impurities could result in noncompliance with ICH guidelines and other regulatory requirements related to synthetic peptides, potentially affecting drug approval. RRF-based impurity analysis is particularly important for assessing the immunogenicity risk of peptide therapeutics since impurities in peptide drugs can potentially trigger unwanted immune responses. Accurate quantification of these impurities using RRF helps in evaluating their potential impact on the drug's immunogenicity profile.

摘要

相对响应因子(RRF)是肽类及其他药物杂质定量分析中的关键参数,尤其在采用紫外检测的高效液相色谱(HPLC)分析过程中。杂质剖析对于确保肽类药物的安全性、有效性和质量至关重要。肽类药物产品中的杂质(工艺杂质/降解杂质)源于插入、截短、脱酰胺、异构化、氧化以及制造过程,这些杂质与主要分析物相比可能具有不同的响应(RRF≥1或RRF≤1);因此,确定RRF对于通过考虑主要分析物(如肽)与其杂质之间检测器响应的差异来确保准确的杂质定量是必要的。使用RRF能够相对于肽类原料药对痕量杂质进行定量,并确保符合治疗性肽类严格的质量标准。RRF确保杂质的定量不会因分子量、检测器灵敏度或色谱条件的差异而产生偏差。在肽类治疗药物中,如果默认将RRF值设为1,杂质估计结果可能会被高估(实际RRF>1)或低估(实际RRF<1)。未能准确地对杂质进行定量可能导致不符合ICH指南以及与合成肽相关的其他监管要求,从而可能影响药物的批准。基于RRF的杂质分析对于评估肽类治疗药物的免疫原性风险尤为重要,因为肽类药物中的杂质可能会引发不必要的免疫反应。使用RRF对这些杂质进行准确的定量有助于评估它们对药物免疫原性特征的潜在影响。

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