Cardiotoxicity evaluation of two-drug fixed-dose combination therapy under CiPA: a computational study.

IF 1.1 Q4 PHARMACOLOGY & PHARMACY Translational and Clinical Pharmacology Pub Date : 2024-12-01 Epub Date: 2024-12-27 DOI:10.12793/tcp.2024.32.e20
Ali Ikhsanul Qauli, Aroli Marcellinus, Frederique Jos Vanheusden, Ki Moo Lim
{"title":"Cardiotoxicity evaluation of two-drug fixed-dose combination therapy under CiPA: a computational study.","authors":"Ali Ikhsanul Qauli, Aroli Marcellinus, Frederique Jos Vanheusden, Ki Moo Lim","doi":"10.12793/tcp.2024.32.e20","DOIUrl":null,"url":null,"abstract":"<p><p>The Comprehensive <i>In Vitro</i> Proarrhythmia Assay (CiPA) evaluates drug-induced torsade de pointes (TdP) risk, with qNet commonly used to classify drugs into low-, intermediate-, and high-risk categories. While most studies focus on single-drug effects, 2-drug fixed-dose combination (FDC) therapy is widely used for cardiovascular disease management. We aimed to develop the CiPA-based methodology to predict adverse effects of FDC therapy. A human ventricular cell model was stimulated under the effects of various drug combinations from twelve well-characterized compounds suggested by CiPA at 1 to 4 maximum plasma concentration, and the qNet<sub>avg</sub> biomarker as a function of the ratio of two drugs was used to evaluate the TdP risk of combined compounds. Results showed that high-risk and intermediate-risk drug combinations often yielded lower qNet<sub>avg</sub> than individual drugs, suggesting increased TdP risk. Conversely, combinations involving low-risk drugs tended to reduce TdP risk by raising qNet<sub>avg</sub> above individual drug levels. Also, we found that the interplay of some major ionic channels caused variations on qNet<sub>avg</sub>. These findings highlight the importance of evaluating FDC cardiotoxicity to predict risks that may not appear in single-drug analysis.</p>","PeriodicalId":23288,"journal":{"name":"Translational and Clinical Pharmacology","volume":"32 4","pages":"198-215"},"PeriodicalIF":1.1000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11711388/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational and Clinical Pharmacology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12793/tcp.2024.32.e20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/27 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

Abstract

The Comprehensive In Vitro Proarrhythmia Assay (CiPA) evaluates drug-induced torsade de pointes (TdP) risk, with qNet commonly used to classify drugs into low-, intermediate-, and high-risk categories. While most studies focus on single-drug effects, 2-drug fixed-dose combination (FDC) therapy is widely used for cardiovascular disease management. We aimed to develop the CiPA-based methodology to predict adverse effects of FDC therapy. A human ventricular cell model was stimulated under the effects of various drug combinations from twelve well-characterized compounds suggested by CiPA at 1 to 4 maximum plasma concentration, and the qNetavg biomarker as a function of the ratio of two drugs was used to evaluate the TdP risk of combined compounds. Results showed that high-risk and intermediate-risk drug combinations often yielded lower qNetavg than individual drugs, suggesting increased TdP risk. Conversely, combinations involving low-risk drugs tended to reduce TdP risk by raising qNetavg above individual drug levels. Also, we found that the interplay of some major ionic channels caused variations on qNetavg. These findings highlight the importance of evaluating FDC cardiotoxicity to predict risks that may not appear in single-drug analysis.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
CiPA下两药固定剂量联合治疗的心脏毒性评价:一项计算研究。
综合体外心律失常测定(CiPA)评估药物诱导的椎体扭曲(TdP)风险,qNet通常用于将药物分为低、中、高风险三类。虽然大多数研究集中在单药作用,但2药固定剂量联合治疗(FDC)广泛用于心血管疾病的治疗。我们的目的是发展基于cipa的方法来预测FDC治疗的不良反应。在CiPA建议的12种具有良好表征的化合物的1 ~ 4最大血浆浓度下,在不同药物组合的作用下刺激人心室细胞模型,并使用qNetavg生物标志物作为两种药物比例的函数来评估联合化合物的TdP风险。结果显示,高危和中危联合用药往往比单独用药产生更低的qNetavg,提示TdP风险增加。相反,联合使用低风险药物往往通过提高qNetavg高于单个药物水平来降低TdP风险。此外,我们还发现一些主要离子通道的相互作用导致了qNetavg的变化。这些发现强调了评估FDC心脏毒性对预测单一药物分析中可能未出现的风险的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Translational and Clinical Pharmacology
Translational and Clinical Pharmacology Medicine-Pharmacology (medical)
CiteScore
1.60
自引率
11.10%
发文量
17
期刊介绍: Translational and Clinical Pharmacology (Transl Clin Pharmacol, TCP) is the official journal of the Korean Society for Clinical Pharmacology and Therapeutics (KSCPT). TCP is an interdisciplinary journal devoted to the dissemination of knowledge relating to all aspects of translational and clinical pharmacology. The categories for publication include pharmacokinetics (PK) and drug disposition, drug metabolism, pharmacodynamics (PD), clinical trials and design issues, pharmacogenomics and pharmacogenetics, pharmacometrics, pharmacoepidemiology, pharmacovigilence, and human pharmacology. Studies involving animal models, pharmacological characterization, and clinical trials are appropriate for consideration.
期刊最新文献
Analyzing collaborations in clinical trials in Korea using association rule mining. Cardiotoxicity evaluation of two-drug fixed-dose combination therapy under CiPA: a computational study. Comparative pharmacokinetics study of two tablet formulations of delpazolid, a novel oxazolidinone class antibiotic. PMDA initiatives to enhance drug development via multi-regional clinical trials. Research on unintroduced new drugs in South Korea from 2011 to 2020: approaches to prioritization and strategy.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1