hERG potency data in new drug applications submitted to the U.S. Food and Drug Administration between 2008 and 2024

IF 2.1 4区 医学 Q4 PHARMACOLOGY & PHARMACY
Hiba Khalidi, Emily Jo, Mitra Abbasi, Joanne Mahmud, Zofia Bielecka, Christopher E. Pollard, Will S. Redfern
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引用次数: 0

Abstract

Since the implementation of ICH S7B by the FDA in 2005, sponsors are required to test human pharmaceuticals at hERG before Phase 1 clinical trials. ICH S7B stipulated that, ‘Ascending concentrations should be tested until a concentration-response curve has been characterized or physicochemical effects become concentration-limiting.’ Thus subsequent New Drug Applications (NDAs) contained hERG potency data. By interrogating the Drugs@FDA database, we have investigated hERG potency in NDAs submitted 2008–2024 inclusive.
We developed an R-based text-mining pipeline to automate data extraction from machine-readable NDA documents in the Drugs@FDA database, using search terms related to hERG/IKr inhibition. The code screened ~11,000 NDAs and identified 1567 with potentially relevant content. After excluding 1000 non-relevant NDAs (e.g., ophthalmic, topical, diagnostic, and large-molecule drugs >1000 Da), hERG data were expertly curated from the remaining 567 documents (corresponding to 288 drugs) and classified into one of three categories based on the data provided: (1) IC₅₀ value (160 drugs); (2) percent inhibition at specified concentration (65 drugs); (3) no observed block at specified concentration (63 drugs). For category 2 compounds, IC₅₀ values were estimated using the Hill equation (slope = 1) if inhibition was ≥25% (11 drugs); otherwise, compounds were assumed to exhibit no hERG block at the tested concentration (54 drugs). To enable us to use the compounds showing no hERG block, we calculated a ‘worst case’ IC50 by multiplying the quoted test concentration by 100.
Using only IC50 values from category 1 or those estimated from category 2, no clear temporal trend was apparent. Nor did one emerge by adding ‘worst case’ IC50 values to the dataset. This was the case whether the data were assessed by year or by grouping the data into 2–4 year ‘bins’. No trends emerged when we split the dataset into oncology and non-oncology drugs. Clearly, this analysis is blind to efficacious free drug concentrations and therefore to safety margins. Also, it does not assess the possibility that there may be a trend in hERG potency in INDs that is not reflected in NDAs owing to drug failures in development.
2008年至2024年间提交给美国食品和药物管理局的新药申请中的hERG效价数据
自2005年FDA实施ICH S7B以来,申办者被要求在i期临床试验之前在hERG测试人用药物。ICH S7B规定,“浓度上升应进行测试,直到浓度响应曲线已被表征或物理化学效应成为浓度限制。”因此,随后的新药申请(NDAs)包含了hERG效价数据。通过查询Drugs@FDA数据库,我们调查了2008-2024年(含2024年)提交的nda中的hERG效价。我们开发了一个基于r的文本挖掘管道,使用与hERG/IKr抑制相关的搜索词,从Drugs@FDA数据库中机器可读的NDA文档中自动提取数据。该代码筛选了约11000个NDAs,并识别出1567个具有潜在相关内容。在排除了1000个不相关的新药(例如,眼科,局部,诊断和大分子药物)之后,从剩余的567个文件(对应288种药物)中专业地整理了hERG数据,并根据提供的数据将其分为三类之一:(1)IC₅0值(160种药物);(2)一定浓度下的抑制率(65种药物);(3)规定浓度未见阻滞(63种药物)。对于第2类化合物,如果抑制作用≥25%(11种药物),则使用Hill方程(斜率= 1)估计IC₅0值;否则,假定化合物在测试浓度下没有hERG阻滞(54种药物)。为了使我们能够使用没有hERG阻滞的化合物,我们通过将引用的测试浓度乘以100来计算“最坏情况”IC50。仅使用第1类的IC50值或第2类的IC50值,没有明显的时间趋势。在数据集中添加“最坏情况”的IC50值也没有出现。无论是按年评估数据还是将数据分组到2-4年的“箱”中,情况都是如此。当我们将数据集分成肿瘤药物和非肿瘤药物时,没有发现趋势。显然,这种分析对有效的游离药物浓度是盲目的,因此对安全边际也是盲目的。此外,它没有评估由于药物开发失败而在新药开发中没有反映出的新药开发中hERG效力趋势的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of pharmacological and toxicological methods
Journal of pharmacological and toxicological methods PHARMACOLOGY & PHARMACY-TOXICOLOGY
CiteScore
3.60
自引率
10.50%
发文量
56
审稿时长
26 days
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.
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