Claudia P. Alvarez Baron , Jun Zhao , Huimei Yu , Ming Ren , Nicolas Thiebaud , Donglin Guo , Ryan DePalma , Mistry Sabyasachy , Isra Tariq , Md Shadiqur Rashid Roni , Omnia A. Ismaiel , Murali K. Matta , Manni Mashaee , Jose Vicente , Lars Johannesen , Jiansong Sheng , Simon Hebeisen , James Kramer , Andrew Bruening-Wright , Koji Nakano , Wendy W. Wu
{"title":"使用标准化方案并遵循ICH S7B Q&A 2.1最佳实践生成的手动膜片钳hERG数据的可变性","authors":"Claudia P. Alvarez Baron , Jun Zhao , Huimei Yu , Ming Ren , Nicolas Thiebaud , Donglin Guo , Ryan DePalma , Mistry Sabyasachy , Isra Tariq , Md Shadiqur Rashid Roni , Omnia A. Ismaiel , Murali K. Matta , Manni Mashaee , Jose Vicente , Lars Johannesen , Jiansong Sheng , Simon Hebeisen , James Kramer , Andrew Bruening-Wright , Koji Nakano , Wendy W. Wu","doi":"10.1016/j.vascn.2025.107801","DOIUrl":null,"url":null,"abstract":"<div><div>The most common mechanism of drug-induced QT<sub>C</sub> prolongation and the potentially fatal arrhythmia <em>Torsade de Pointes</em> is block of hERG channels. Accordingly, the hERG assay is used to assess cardiac safety of new drugs in support of first-in-human studies. The recently updated ICH E14 Q&As 5.1 and 6.1 describe regulatory pathways to use hERG results obtained following best practice recommendations (ICH S7B Q&A 2.1) to complement clinical QT<sub>C</sub> data that otherwise may not be adequate and inform labeling. However, the impact of protocol standardization on variability of hERG data has not been assessed. This is a critical data gap in implementation of the E14/S7B Q&As. This hERG dataset was collected as part of a HESI-coordinated international effort designed to generate cardiac ion channel data using physiologically relevant protocols when feasible and practical, following best practice recommendations in ICH S7B Q&As. Datasets for other cardiac ion channels are presented in a companion abstract (Yu et al.). Five laboratories established drug block potencies (IC<sub>50</sub>s) for 28 clinical drugs in a two-phase study using manual patch clamp. Concentration verification was done to assess drug losses for all laboratories and drugs. Meta-analysis was used to estimate overall variability in IC<sub>50</sub>s. Phase 1 study showed that hERG IC<sub>50</sub>s were similar for four laboratories and systematically higher for one laboratory. The source of the systematic difference could not be identified and was not attributed to different extent of drug loss, drug delivery method, cell lines, or recording quality. The systematic difference disappeared during phase 2. Blind repeat testing of two phase 1 drugs was done by each laboratory to understand within the laboratory reproducibility. The overall variability (or reproducibility) of the hERG assay was estimated accounting for potency differences among different drugs and laboratory-specific tendencies. This variability indicates the resolution limit of the hERG assay under best practices to distinguish two IC<sub>50</sub>s as different. Systematic differences in hERG IC<sub>50</sub>s can occur following protocol standardization and ICH S7B best practice recommendations. The regulatory framework for identifying hERG-positive molecules should account for hERG data variability and may additionally need to account for laboratory-specific differences.</div></div>","PeriodicalId":16767,"journal":{"name":"Journal of pharmacological and toxicological methods","volume":"135 ","pages":"Article 107801"},"PeriodicalIF":1.8000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Variability of manual patch clamp hERG data generated using standardized protocols and following ICH S7B Q&A 2.1 best practices\",\"authors\":\"Claudia P. Alvarez Baron , Jun Zhao , Huimei Yu , Ming Ren , Nicolas Thiebaud , Donglin Guo , Ryan DePalma , Mistry Sabyasachy , Isra Tariq , Md Shadiqur Rashid Roni , Omnia A. Ismaiel , Murali K. Matta , Manni Mashaee , Jose Vicente , Lars Johannesen , Jiansong Sheng , Simon Hebeisen , James Kramer , Andrew Bruening-Wright , Koji Nakano , Wendy W. Wu\",\"doi\":\"10.1016/j.vascn.2025.107801\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The most common mechanism of drug-induced QT<sub>C</sub> prolongation and the potentially fatal arrhythmia <em>Torsade de Pointes</em> is block of hERG channels. Accordingly, the hERG assay is used to assess cardiac safety of new drugs in support of first-in-human studies. The recently updated ICH E14 Q&As 5.1 and 6.1 describe regulatory pathways to use hERG results obtained following best practice recommendations (ICH S7B Q&A 2.1) to complement clinical QT<sub>C</sub> data that otherwise may not be adequate and inform labeling. However, the impact of protocol standardization on variability of hERG data has not been assessed. This is a critical data gap in implementation of the E14/S7B Q&As. This hERG dataset was collected as part of a HESI-coordinated international effort designed to generate cardiac ion channel data using physiologically relevant protocols when feasible and practical, following best practice recommendations in ICH S7B Q&As. Datasets for other cardiac ion channels are presented in a companion abstract (Yu et al.). Five laboratories established drug block potencies (IC<sub>50</sub>s) for 28 clinical drugs in a two-phase study using manual patch clamp. Concentration verification was done to assess drug losses for all laboratories and drugs. Meta-analysis was used to estimate overall variability in IC<sub>50</sub>s. Phase 1 study showed that hERG IC<sub>50</sub>s were similar for four laboratories and systematically higher for one laboratory. The source of the systematic difference could not be identified and was not attributed to different extent of drug loss, drug delivery method, cell lines, or recording quality. The systematic difference disappeared during phase 2. Blind repeat testing of two phase 1 drugs was done by each laboratory to understand within the laboratory reproducibility. The overall variability (or reproducibility) of the hERG assay was estimated accounting for potency differences among different drugs and laboratory-specific tendencies. This variability indicates the resolution limit of the hERG assay under best practices to distinguish two IC<sub>50</sub>s as different. Systematic differences in hERG IC<sub>50</sub>s can occur following protocol standardization and ICH S7B best practice recommendations. The regulatory framework for identifying hERG-positive molecules should account for hERG data variability and may additionally need to account for laboratory-specific differences.</div></div>\",\"PeriodicalId\":16767,\"journal\":{\"name\":\"Journal of pharmacological and toxicological methods\",\"volume\":\"135 \",\"pages\":\"Article 107801\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of pharmacological and toxicological methods\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1056871925002217\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of pharmacological and toxicological methods","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1056871925002217","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
摘要
药物诱导QTC延长和潜在致命性心律失常Torsade de Pointes最常见的机制是阻断hERG通道。因此,hERG检测被用于评估新药的心脏安全性,以支持首次在人体中进行的研究。最近更新的ICH E14 Q&;As 5.1和6.1描述了使用最佳实践建议(ICH S7B Q&A 2.1)获得的hERG结果的监管途径,以补充临床QTC数据,否则可能不充分,并告知标签。然而,尚未评估方案标准化对hERG数据变异性的影响。这是E14/S7B q&a实现中的一个关键数据缺口。该hERG数据集是作为hesi协调的国际努力的一部分收集的,旨在根据ICH S7B Q&; as中的最佳实践建议,在可行和实用的情况下使用生理学相关方案生成心脏离子通道数据。其他心脏离子通道的数据集在伴随的摘要中(Yu et al.)。五个实验室在一项使用手动膜片钳的两期研究中为28种临床药物建立了药物阻滞效价(ic50)。进行了浓度验证,以评估所有实验室和药物的药物损失。荟萃分析用于估计ic50的总体变异性。第一阶段研究表明,四个实验室的hERG ic50相似,一个实验室的hERG ic50更高。系统差异的来源无法确定,也不能归因于不同程度的药物损失、给药方式、细胞系或记录质量。系统差异在第二阶段消失。每个实验室对两种1期药物进行盲重复试验,以了解实验室内的可重复性。hERG测定的总体可变性(或可重复性)估计了不同药物和实验室特定倾向之间的效价差异。这种可变性表明hERG测定在区分两种不同ic50的最佳实践下的分辨率限制。hERG ic50的系统性差异可根据方案标准化和ICH S7B最佳实践建议发生。鉴定hERG阳性分子的监管框架应考虑到hERG数据的可变性,可能还需要考虑到实验室特异性差异。
Variability of manual patch clamp hERG data generated using standardized protocols and following ICH S7B Q&A 2.1 best practices
The most common mechanism of drug-induced QTC prolongation and the potentially fatal arrhythmia Torsade de Pointes is block of hERG channels. Accordingly, the hERG assay is used to assess cardiac safety of new drugs in support of first-in-human studies. The recently updated ICH E14 Q&As 5.1 and 6.1 describe regulatory pathways to use hERG results obtained following best practice recommendations (ICH S7B Q&A 2.1) to complement clinical QTC data that otherwise may not be adequate and inform labeling. However, the impact of protocol standardization on variability of hERG data has not been assessed. This is a critical data gap in implementation of the E14/S7B Q&As. This hERG dataset was collected as part of a HESI-coordinated international effort designed to generate cardiac ion channel data using physiologically relevant protocols when feasible and practical, following best practice recommendations in ICH S7B Q&As. Datasets for other cardiac ion channels are presented in a companion abstract (Yu et al.). Five laboratories established drug block potencies (IC50s) for 28 clinical drugs in a two-phase study using manual patch clamp. Concentration verification was done to assess drug losses for all laboratories and drugs. Meta-analysis was used to estimate overall variability in IC50s. Phase 1 study showed that hERG IC50s were similar for four laboratories and systematically higher for one laboratory. The source of the systematic difference could not be identified and was not attributed to different extent of drug loss, drug delivery method, cell lines, or recording quality. The systematic difference disappeared during phase 2. Blind repeat testing of two phase 1 drugs was done by each laboratory to understand within the laboratory reproducibility. The overall variability (or reproducibility) of the hERG assay was estimated accounting for potency differences among different drugs and laboratory-specific tendencies. This variability indicates the resolution limit of the hERG assay under best practices to distinguish two IC50s as different. Systematic differences in hERG IC50s can occur following protocol standardization and ICH S7B best practice recommendations. The regulatory framework for identifying hERG-positive molecules should account for hERG data variability and may additionally need to account for laboratory-specific differences.
期刊介绍:
Journal of Pharmacological and Toxicological Methods publishes original articles on current methods of investigation used in pharmacology and toxicology. Pharmacology and toxicology are defined in the broadest sense, referring to actions of drugs and chemicals on all living systems. With its international editorial board and noted contributors, Journal of Pharmacological and Toxicological Methods is the leading journal devoted exclusively to experimental procedures used by pharmacologists and toxicologists.