ICH M10 后的药代动力学测定的交叉验证不是通过/失败标准。

IF 1.9 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Bioanalysis Pub Date : 2024-11-06 DOI:10.1080/17576180.2024.2418284
Marianne Scheel Fjording, Joanne Goodman, Chad Briscoe
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引用次数: 0

摘要

ICH M10 指南为药代动力学测定的生物分析方法验证制定了全球标准,重点关注各项研究中数据的可靠性和准确性。其中一项重要内容是交叉验证,当一项研究涉及多种方法或实验室时,或需要进行比较的跨研究时,应进行交叉验证以确保数据的可比性。然而,ICH M10 并未规定交叉验证的验收标准,这给业界带来了挑战,因为传统上许多实验室总是利用验收标准来判定研究 "通过 "或 "失败"。这篇社论讨论了 ICH M10 后生物分析实验室应如何对 PK 检测进行交叉验证,强调了统计方法的作用以及与临床药理学和生物统计学部门密切合作的必要性。正确实施并战略性地关注相关研究对有效进行交叉验证至关重要。
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Cross-validation of pharmacokinetic assays post-ICH M10 is not a pass/fail criterion.

The ICH M10 guideline establishes global standards for bioanalytical method validation for pharmacokinetic assays, focusing on data reliability and accuracy across studies. A significant component is cross-validation, which should be performed to ensure data comparability when multiple methods or laboratories are involved in a single study or across studies where comparison will be performed. However, ICH M10 does not specify acceptance criteria for cross-validation, creating challenges for the industry because traditionally many laboratories have always utilized acceptance criteria to "pass" or "fail" the study. This editorial discusses how bioanalytical labs should conduct cross-validation for PK assays post-ICH M10, highlighting the role of statistical methods and the need for close collaboration with clinical pharmacology and biostatistics departments. Proper implementation and strategic focus on relevant studies are essential for effective cross-validation.

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来源期刊
Bioanalysis
Bioanalysis BIOCHEMICAL RESEARCH METHODS-CHEMISTRY, ANALYTICAL
CiteScore
3.30
自引率
16.70%
发文量
88
审稿时长
2 months
期刊介绍: Reliable data obtained from selective, sensitive and reproducible analysis of xenobiotics and biotics in biological samples is a fundamental and crucial part of every successful drug development program. The same principles can also apply to many other areas of research such as forensic science, toxicology and sports doping testing. The bioanalytical field incorporates sophisticated techniques linking sample preparation and advanced separations with MS and NMR detection systems, automation and robotics. Standards set by regulatory bodies regarding method development and validation increasingly define the boundaries between speed and quality. Bioanalysis is a progressive discipline for which the future holds many exciting opportunities to further reduce sample volumes, analysis cost and environmental impact, as well as to improve sensitivity, specificity, accuracy, efficiency, assay throughput, data quality, data handling and processing. The journal Bioanalysis focuses on the techniques and methods used for the detection or quantitative study of analytes in human or animal biological samples. Bioanalysis encourages the submission of articles describing forward-looking applications, including biosensors, microfluidics, miniaturized analytical devices, and new hyphenated and multi-dimensional techniques. Bioanalysis delivers essential information in concise, at-a-glance article formats. Key advances in the field are reported and analyzed by international experts, providing an authoritative but accessible forum for the modern bioanalyst.
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