Designing a clinical drug-drug interaction study

After a much longer delay that I expected, I am back to blogging on a regular basis. Today I want to discuss a common topic among clinical pharmacologists. How do you properly design a drug-drug interaction study?

Defining Drug-Drug Interactions

While these studies may appear complicated, they can be simplified very quickly to make the study design straightforward. In all cases, there are 2 drugs involved in a drug-drug interaction study, and they always interact in the same way. One drug is considered the probe substrate, and the other is the interacting drug. The probe substrate is metabolized or transported by the biological enzyme being studied (e.g. cytochrome P450 3A4, OATP1, etc.). The interacting drug affects the biological enzyme being studied by either inhibition or stimulation. This can be illustrated as shown below:

Drug-drug interaction

To make the example more specific, let’s assume you are evaluating the potential for a candidate drug to inhibit cytochrome P450 3A4. This would make the candidate drug the “interacting drug” (shown in red text) and you would select a probe substrate that is sensitive to changes in CYP3A4 activity (e.g. midazolam). A second example might be the evaluation of inhibition of CYP2C8 on the metabolism of a candidate drug. In this second example, the candidate drug would be the probe substrate (shown in black text), and you would select an interacting drug that is a strong inhibitor of CYP2C8 (e.g. gemfibrozil).

The first step to designing the correct study is to draw an image like the one shown above and list the names of the probe substrate and the interacting drug. In addition, you will need to identify if the interacting drug is expected to inhibit or stimulate the metabolism (or transport) process.Before we move to study design, let’s consider the analysis that needs to be conducted at the end of the study.

Analysis of Drug-Drug Interaction Studies

The basic study involves evaluating the clearance of the probe substrate under two conditions:

 Condition  Treatment  Common term
 1  Probe substrate alone  Reference
 2  Probe substrate + interacting drug  Test

The most common way to evaluate changes in clearance is to measure the area under the curve (AUC) since CL = Dose/AUC. Thus increases in AUC represent decreases in clearance, and vice-versa. You can calculate the relative exposure between the Test and Reference using a ratio (Test/Reference). If the ratio is close to 100%, then the interacting drug did not affect the clearance of the probe substrate. If the ratio is >100%, then the interacting drug inhibited the clearance of the probe substrate. And a ratio <100% suggests that the interacting drug stimulates the clearance of the probe substrate.

Study Design

Now that we have the basics, we can design the study. We need to administer 2 separate treatments to each subject. Since we are testing a biological enzyme that is thought to be free from influence of the study subject, blinding is not necessary in these studies. Since it is an open label study, a fixed sequence design is the easiest to conduct. In this design, a subject receives treatment 1 (probe substrate alone) in the first period, followed by an appropriate washout. Then the same subject receives treatment 2 (probe substrate + interacting drug) in the second period. By comparing period 2 (Test) to period 1 (Reference) you can determine the effect of the interacting drug.

Easy right! … Well there are some additional considerations that may affect your study design.

Washout Period

First, if the washout period for the probe substrate is long (e.g. >14 days), then you may have difficulty running the fixed sequence design. If the probe substrate has a long washout period, you will want to run a parallel study. In this study design, one group of subjects will receive treatment 1 (probe substrate alone) and a second group of subjects will receive treatment 2 (probe substrate + interacting drug). The comparison can then be made across the treatment groups. If you conduct a parallel study try to make sure that you match subject demographics across treatment groups to minimize variability.

Steady-State

Second, you may need to give multiple doses of the interacting drug to achieve maximal inhibition or stimulation. In general the interacting drug is dosed to steady-state levels. This can be achieved by administering doses for multiple days, or giving an initial “loading” dose followed by standard doses. The duration of dosing for the interacting drug varies based on the drug being used.

This should give you a good idea of how to design clinical drug-drug interaction studies for anything you encounter.

What are drug-drug interactions anyway?

A current buzz phrase in pharmaceutical research right now is “drug-drug interaction” or simply “drug interaction”. The definition of a drug-drug interaction has fluctuated over the last few years, not because of changes in research, but because of misconceptions in the research community. The US Food and Drug Administration (FDA) has published a draft guidance in September 2006 and you can download it for yourself (link). This guidance addresses what are called metabolic drug interactions (i.e. cases where Drug A affects the metabolism of Drug B). The guidance also recognizes that other drug interactions can occur (page 4 of guidance):

Furthermore, not every drug-drug interaction is metabolism-based, but may arise from changes in pharmacokinetics caused by absorption, distribution, and excretion interactions. Drug-drug interactions related to transporters are being documented with increasing frequency and are important to consider in drug development. Although less well studied, drug-drug interactions may alter pharmacokinetic/pharmacodynamic (PK/PD) relationships. These important areas are not considered in detail in this guidance.

In more simplistic terms, drug-drug interactions occur when the presence of Drug A affects the levels of Drug B in the body. These effects can increase or decrease the levels of Drug B. The current regulatory environment focuses on only metabolic drug interactions because they are the best understood, and easiest to evaluate. Other interactions (e.g. absorption, distribution, pharmacodynamic, transporters, etc.) are very difficult to evaluate because it is nearly impossible to isolate those processes in humans to allow for the conduct of a proper scientific experiment.

Therefore, let’s discuss metabolic drug interactions. I believe these can be separated into 2 broad categories:

  1. Inhibition
  2. Induction

With Inhibition, Drug A inhibits the metabolism of Drug B. If you refer back to my post on compartmental models, if you reduce the metabolism of Drug B (i.e. the body’s method of eliminating Drug B) then the levels of Drug B will rise. One example of this is the combination of fluoxetine (Drug A, an anti-depressant called Prozac) and dextromethorphan (Drug B, a cough suppressant).

Drugs taken Dextromethorphan levels
Dextromethorphan Normal
Dextromethorphan +
Fluoxetine
High

Thus the fluoxetine inhibits the metabolism of dextromethorphan which results in high dextromethorphan levels. And high levels of dextromethorphan can result in dizziness, drowsiness and hallucinations. This is why drug interactions are tested!

With induction, Drug A accelerates the metabolism of Drug B. This is the opposite of inhibition, the induction speeds up metabolism leading to lower drug levels. One example of this is the combination of rifampicin (Drug A, an antibiotic used to treat tuberculosis) and warfarin (Drug B, an anticoagulant called Coumadin).

Drugs taken Warfarin levels
Warfarin Normal
Warfarin +
Rifampicin
Low

Thus the rifampicin accelerates the metabolism of warfarin leading to lower warfarin levels in the blood. Low levels of warfarin may lead to blood clots that may cause death. In fact, warfarin levels are so sensitive to rifampicin, that this combination is prohibited on the warfarin drug label (link).

Now when you hear “drug-drug interaction”, I hope the first thoughts that come to your mind are:

  1. Change in metabolism
  2. Inhibition or induction

Reminding yourself of these two simple facts will help you conceptualize what is happening, and allow you to ask thoughtful questions. And, it might help detect someone who doesn’t know a thing about drug interactions!