在肽治疗中杂质的准确评估中实施RRF的迫切需要

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Akhilesh Kumar Kuril*, 
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引用次数: 0

摘要

相对响应因子(RRF)是多肽和其他药物物质中杂质定量分析的关键参数,特别是在紫外检测的高效液相色谱(HPLC)分析中。杂质分析对于保证多肽药物的安全性、有效性和质量至关重要。多肽药品中的杂质(工艺/降解)源于插入、截断、脱酰胺、异构化、氧化和制造工艺,这些工艺与主要分析物相比可能没有相同的响应(RRF≥1或RRF≤1);因此,考虑到主要分析物(如肽)及其杂质之间检测器响应的差异,RRF测定对于确保准确的杂质定量是必要的。RRF的使用允许定量相对于肽API的痕量杂质,并确保符合治疗肽的严格质量标准。RRF确保杂质的定量不受分子量、检测器灵敏度或色谱条件差异的影响。通过默认应用RRF值为1,杂质估计结果可能被高估(实际RRF >;1)或低估(实际RRF <;1)多肽治疗。未能准确量化杂质可能导致不符合ICH指南和其他与合成肽相关的法规要求,可能影响药物批准。基于rrf的杂质分析对于评估多肽治疗药物的免疫原性风险尤其重要,因为多肽药物中的杂质可能会引发不必要的免疫反应。使用RRF准确定量这些杂质有助于评估它们对药物免疫原性的潜在影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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.

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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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