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2025 年 2 月 7 日

A key drug development safety consideration is whether the drug candidate will interact with co-medications. Drug-drug interaction (DDI) studies are used to help assess this risk.

These studies quantify the impact of the drug candidate on key drug-metabolizing enzymes. The most studied metabolic enzymes are the cytochrome P450 (CYP) enzyme family members.

Recommended index substrates are drugs known to be metabolized by specific CYPs. Thus, these drugs serve as probes that can detect if the CYP is being induced or inhibited by the candidate drug.

EnzymeSensitive index substrates unless otherwise noted
CYP1A2caffeine, tizanidine
CYP2B6(a)-
CYP2C8repaglinide(b)
CYP2C9tolbutamide(c), S-warfarin(c)
CYP2C19lansoprazole(c,d), omeprazole
CYP2D6desipramine, dextromethorphan, nebivolol
CYP3Amidazolam, triazolam

When designing clinical drug-drug interaction studies, a key consideration is whether measuring the metabolites of the probe substrates used is necessary. Measuring the products of metabolism may give further insights into how a drug interaction might affect safety or effectiveness. It can also provide more information about the mechanism of the interaction. Ultimately, all this information can help make sense of the DDI study results.

The International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) has published the final version of the harmonized drug-drug interaction (DDI) guideline (ICH M12). Check out this blog for our summary of the ICH M12 guidance and our recommendations on how it may impact your DDI package.

At Certara, our experts in clinical pharmacology, DMPK (drug metabolism pharmacokinetics), and PBPK (physiologically-based pharmacokinetic modeling) collaborate via our Center for Excellence in Drug Interaction Science to help our clients perform DDI risk assessments. The question of drug metabolite measurement in DDI studies was recently explored in an article by several authors from this center, published in the journal Metabolites.

The Certara Drug Interaction Database (DIDB) is the largest scientist-curated collection of qualitative and quantitative human in vitro and clinical (in vivo) information related to various extrinsic and intrinsic factors that can affect drug exposure. Using this database, studies with index substrates from the ICH M12 guideline for CYP1A2, 2B6, 2C8, 2C9, 2C19, 2D6, and 3A were reviewed.

For each probe substrate, the frequency of metabolite measurements in the studies was calculated, and a correlation analysis between the change in the plasma exposure of the index substrates and marker metabolites was performed. In total, 3261 individual index DDI studies were available, and 45% of the studies measured at least one metabolite. For individual substrates, the frequency of metabolite measurement ranged from 11% to > 80%.

The analysis indicated that measuring metabolites for substrates like caffeine (CYP1A2), bupropion (CYP2B6), omeprazole (CYP2C19), and dextromethorphan (CYP2D6) enhanced sensitivity in detecting DDIs or reduced intrasubject variability. Including metabolite measurements for omeprazole can offer mechanistic insights into the effects of the interacting compound on both CYP3A4 and CYP2C19. However, for substrates like midazolam, measuring metabolites did not provide a clear benefit for interpreting the outcomes of drug interaction studies.

Therefore, some metabolites are worth measuring, and some aren’t. Knowing this distinction can help your team get the best ROI on your clinical pharmacology program.

If you need help designing your DDI studies, our experts can help. You can email them at {1}

 

Jingjing Yu
Jingjing Yu, MD, PhD

Director, Drug Interaction Solutions

在收购华盛顿大学药物相互作用解决方案项目后,Dr. Yu 于 2023 年加入 Certara。她在药物代谢和临床药理学领域拥有超过 15 年的经验,通过在学术界和工业界的工作,她在药物相互作用领域积累了独特的专业知识。在 Certara,Dr. Yu 是药物相互作用解决方案总监,也是药物相互作用科学卓越中心的核心成员。她还是华盛顿州西雅图华盛顿大学制药系的副教授。

Isabelle Ragueneau-Majlessi
Isabelle Ragueneau-Majlessi, MD, MS

Distinguished Scientist, Drug Interaction Solutions

Dr. Ragueneau 是华盛顿大学的荣誉临床教授,25 年前,她与他人共同创建了药物相互作用数据库 (DIDB)。在 Certara,她是药物相互作用解决方案项目的负责人,并领导药物相互作用科学卓越中心。她是一名临床药理学家,在评估药物相互作用机制和临床意义方面具有深厚的专业知识。2022 年,她因在药物相互作用数据库方面所做的大量工作以及该工具对药物相互作用研究的影响,获得了美国药物滥用和不良反应学会颁发的 Gary Neil 药物开发创新奖。

Iain Gardner

Sr. Scientific Advisor and Head of Translational Science.

Dr. Gardner has been at Certara since 2011. He leads the science team that is responsible for further developments of the population-based physiologically-based PK/PD simulators to meet the needs of Simcyp Consortium members. Before joining Certara, he spent 12 years working in the Pharmacokinetics, Dynamics, and Metabolism Department at Pfizer Global Research & Development in the UK and the US. In this role, Gardner was responsible for optimizing the pharmacokinetics (PK) properties of compounds for Drug Discovery projects and resolving any ADME issues for projects later in Development. He is particularly interested in the prediction of human PK and the application of in silico physiologically based PK approaches to projects. Before joining Pfizer, Dr. Gardner worked as a postdoctoral scientist at the University of Toronto, Canada, and Imperial College, UK investigating the links between the metabolism and toxicity of drugs and chemicals. He earned his PhD at the University of Sheffield.

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