Yohimbine pharmacokinetics were determined after oral administration of a single oral dose of yohimbine 5 mg and a microdose of yohimbine 50 µg in relation to different cytochrome P450 (CYP) 2D6 genotypes. The CYP2D6 inhibitor paroxetine was used to investigate the influence on yohimbine pharmacokinetics. Microdosed midazolam was applied to evaluate a possible impact of yohimbine on CYP3A activity and the possibility of combining microdosed yohimbine and midazolam to simultaneously determine CYP2D6 and CYP3A activity.
Methods
In a fixed-sequence clinical trial, 16 healthy volunteers with a known CYP2D6 genotype [extensive (10), intermediate (2) and poor (4) metaboliser] received an oral dose of yohimbine 50 µg, yohimbine 5 mg at baseline and during paroxetine as a CYP2D6 inhibitor. Midazolam (30 µg) was co-administered to determine CYP3A activity at each occasion. Plasma concentrations of yohimbine, its main metabolite 11-OH-yohimbine, midazolam and paroxetine were quantified using validated liquid chromatography-tandem mass spectrometry assays.
Results
Pharmacokinetics of yohimbine were highly variable and a CYP2D6 genotype dependent clearance was observed. After yohimbine 5 mg, the clearance ranged from 25.3 to 15,864 mL/min and after yohimbine 50 µg, the clearance ranged from 39.6 to 38,822 mL/min. A more than fivefold reduction in clearance was caused by paroxetine in CYP2D6 extensive metabolisers, while the clearance in poor metabolisers was not affected. Yohimbine did not alter CYP3A activity as measured by microdosed midazolam.
Conclusions
The pharmacokinetics of yohimbine were highly correlated with CYP2D6, which was further supported by the clearance inhibition caused by the CYP2D6 inhibitor paroxetine. With these data, yohimbine is proposed to be a suitable probe drug to predict CYP2D6 activity. In addition, the microdose can be used in combination with microdosed midazolam to simultaneously evaluate CYP2D6 and CYP3A activity without any interaction between the probe drugs and because the microdoses exert no pharmacological effects.
This is the first study to demonstrate the major cytochrome P450 2D6 dependency of the clearance of yohimbine.
Yohimbine as a potential probe drug for cytochrome P450 2D6 activity can also be used in a microdose setting to minimise the risk for any potential study population.
1 Introduction
Major variability in drug exposure results from large differences in drug-metabolising enzyme activities. Currently, genotyping and phenotyping tests are used to assess cytochrome P450 (CYP) activity. Although genotyping is a tempting approach propagated widely to define variability [1, 2], the influence of environmental factors on CYP450 activity is not captured by genotyping [3]. It is almost impossible to assess all known (rare) genetic variants on a routine basis and a translation into a phenotype may be very difficult or even impossible [4, 5]. Therefore, the need for specific phenotyping tests is growing, leading to the evaluation of endogenous substances for this purpose [6] to avoid exposure to probe drugs. Microdosing of probe drugs, however, might be an alternative because it poses only a minimal additional risk to the patient. Necessary requirements are high enzyme specificity and sensitivity of the microdosed probe drug. A further advantage of microdosed probe drugs is the ability to combine those microdosed probe drugs without causing drug–drug interactions [7, 8].
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CYP2D6 is an important drug-metabolising enzyme with approximately 20% of approved drugs being metabolised by CYP2D6 [9, 10]. However, this enzyme undergoes a genetic polymorphism resulting in highly variable enzyme activity with about 10% poor metabolisers (PMs), 10–15% intermediate metabolisers (IMs), 1–2% ultra-rapid metabolisers and the remaining largest group of extensive metabolisers (EMs) in the Caucasian population [11, 12].
Yohimbine is an α2-receptor antagonist licensed in Germany (since 1978) as well as Canada (since 1951) [13] for erectile dysfunction but pharmacodynamic effects are not fully understood [14]. In vitro data indicate that CYP2D6 seems likely to catalyse the specific transformation of yohimbine into 11-OH-yohimbine [15]. We therefore evaluated in a clinical study the potential of yohimbine as a phenotyping probe drug using a therapeutic dose as well as a microdose of yohimbine in a CYP2D6 panel study. Moreover, a further objective was to investigate the effect of CYP2D6 inhibition by paroxetine on yohimbine pharmacokinetics after a therapeutic dose and microdose. The combination of microdosed yohimbine with the established microdosed CYP3A probe drug midazolam [16, 17] was also studied.
2 Methods
The trial protocol was approved by the Ethics Committee of the Medical Faculty of Heidelberg University (Germany) and the competent authority (BfArM, Bonn, Germany) and registered at the European Union Drug Regulating Authorities for Clinical Trials (EudraCT2017-001801-34). The trial was conducted at the clinical trial unit of the Department of Clinical Pharmacology and Pharmacoepidemiology (KliPS, certified according to ISO 9001:2015, Heidelberg University Hospital, Germany) in accordance with International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use Good Clinical Practice guidelines and the current Declaration of Helsinki. All included volunteers gave their written informed consent prior to any study procedures.
2.1 Study Design
This open-label, fixed-sequence, clinical phase I trial investigated the pharmacokinetics of yohimbine following single oral administration in healthy volunteers with different CYP2D6 genotypes. Two different doses of yohimbine (50 µg and 5 mg) were administered to determine the pharmacokinetics and dose proportionality of yohimbine. In addition, the effect of CYP2D6 inhibition by paroxetine on the pharmacokinetics of yohimbine was to be studied. To evaluate a possible influence of yohimbine on CYP3A activity, microdosed midazolam (30 µg) was co-administered as a marker substance. A single oral dose of midazolam 30 µg was administered before any other treatment to determine baseline CYP3A activity.
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The chronological trial procedures are shown in Fig. 1. Microdoses of yohimbine (50 µg) and midazolam (30 µg) were administered orally. After a washout period of 1 week, a therapeutic yohimbine dose (5 mg) together with midazolam 30 µg was administered. The CYP2D6 inhibition part was started after another washout (1 week) using paroxetine (20 mg) once daily for 3 days. On the second day, microdosed yohimbine (50 µg) was administered immediately after the paroxetine. On the third day, the yohimbine 5-mg therapeutic dose was administered in the same manner. Midazolam (30 µg) was given at the same time as paroxetine on each of the 3 paroxetine days.
Fig. 1
Clinical trial design. MDZ midazolam, PAR paroxetine, YOH yohimbine
×
To administer the midazolam microdose, an oral solution was freshly prepared (30 µL of a 1-mg/mL stock solution, Dormicum®V; Roche-Pharma, Grenzach-Wyhlen, Germany, diluted in 100 mL of tap water in a plastic cup) 30 min before administration. Yohimbine and paroxetine were administered orally as tablets (Yohimbinum hydrochloricum D4®; Deutsche Homöopathie Union, Karlsruhe, Germany, containing 25 µg per tablet; Yocon Glenwood® 5 mg; Cheplapharm, Greifswald, Germany; Paroxat® 20 mg; Hexal AG, Holzkirchen, Germany).
2.2 Study Population
Potential participants had to pass a thorough physical and mental health evaluation (medical history, physical assessments, vital signs, electrocardiogram and laboratory evaluation, normal renal and liver function tests). Their resting blood pressure had to be 90–140 mmHg systolic and 50–90 mmHg diastolic, heart rate between 50 and 90 beats/min and weight ≥ 50 kg. Participants of child-bearing potential were obliged to use a reliable contraceptive method with a Pearl Index < 1%. Regular drug treatment for at least 2 weeks before inclusion was not allowed except for oral contraceptives or any intake of substances that induce or inhibit drug-metabolising enzymes or drug transporters within a period of less than ten times of the respective elimination half-life or 3 weeks (whatever was longer). Volunteers were not included if they participated in a clinical trial within the previous 6 weeks, donated blood within 8 weeks (male participants)/12 weeks (female participants) before inclusion or haemoglobin ≤ 11 g/dL, any physical disorder that could interfere with a participant’s safety during the clinical trial or with the study objectives; any acute or chronic illness, or clinically relevant findings in the pre-study examination, especially; any condition that could modify absorption, distribution, metabolism or excretion of the drug regimen under investigation; (history/suspicion of) abuse/or dependency of drugs or substances, allergies (except for mild forms of hay fever) or hypersensitivity reactions to drugs in history, regular smoking (five or more cigarettes/week), regular intake of alcoholic beverages, poor mental development or difficulties in communication with the investigator, suspected non-adherence, any contraindications against midazolam, yohimbine or paroxetine or a known intolerance of a substance or its additives and for female participants: pregnancy or lactation.
2.3 Cytochrome P450 (CYP) 2D6 Genotyping
All participants were genotyped for CYP2D6 using a modification of the single-base primer extension method by Sistonen et al. [18]. The method is described in detail in the Electronic Supplementary Material. CYP2D6 allelic variants were translated into an activity score (AS) [19] for further calculations.
2.4 Study Conduct
On the yohimbine pharmacokinetic study days, blood samples (7.5 mL) were taken from a peripheral venous catheter before and 0.25, 0.5, 0.75, 1, 1.25, 1.5, 1.75, 2, 2.5, 3, 4, 5, 6, 8, 10, 12 and 24 h after administration into heparinised tubes (S-Monovette®; Sarstedt AG, Nümbrecht, Germany), and plasma was separated. To determine CYP3A activity using microdosed midazolam, blood samples were taken before and 2, 2.5, 3 and 4 h after administration [20]. Blood samples were centrifuged at 4 °C and 3600×g and plasma was divided into different aliquots and stored at − 20 °C.
2.5 Quantification of Yohimbine, Paroxetine and Midazolam
Plasma midazolam and 1-OH-midazolam concentrations were quantified according to a previously published ultra-performance liquid chromatography-tandem mass spectrometry assay [21]. Lower limits of quantification (LLOQ) were 0.37 pg/mL for midazolam and 0.26 pg/mL for 1-OH-midazolam. Plasma yohimbine and 11-OH-yohimbine were determined using two methods because two doses with a 100-fold difference were administered. For the microdosed yohimbine, plasma concentrations for the parent drug and its metabolite were determined using an ultra-performance liquid chromatography–tandem mass spectrometry assay with an LLOQ of 5 pg/mL each [22]. After the 5-mg dose, plasma concentrations of yohimbine and 11-OH-yohimbine were quantified by a liquid chromatography–tandem mass spectrometry method with an LLOQ of 0.5 ng/mL [23]. Plasma paroxetine concentrations were determined by the same assay with an LLOQ of 0.5 ng/mL. All assays are validated according to the US Food and Drug Administration’s and European Medicines Agency’s pertinent guidelines for bioanalytical method validation requiring accuracy and precision values within ± 15% [24, 25].
To determine the plasma protein binding of yohimbine after both the 5- and 50-µg doses, a rapid equilibrium dialysis assay (Thermo Fisher Scientific, Rockford, IL, USA) was performed at high concentrations (200 µL of plasma of the 0.5-h sample and 400 µL of Dulbecco’s phosphate buffered saline as a dialysis buffer for a dialysis time of 4 h). Equal volumes of plasma and buffer were processed and analysed in the same manner as the plasma samples [22].
2.6 Calculations and Statistical Analysis
Standard non-compartmental pharmacokinetic parameters of yohimbine, 11-OH-yohimbine and paroxetine were calculated using Kinetica 5.0 (Thermo Fisher Scientific, Waltham, MA, USA): maximum plasma concentration (Cmax), time to reach maximum plasma concentration, terminal elimination half-life, area under the plasma concentration–time curve (AUC) extrapolated to infinity, volume of distribution at steady state and apparent oral clearance. A mixed log-linear model was used for AUC calculation. For CYP3A activity evaluation, a limited sampling strategy using AUC from 2 to 4 h was used to calculate the metabolic clearance as described previously [26]. Pharmacokinetic data are presented as geometric mean and 95% confidence intervals unless stated otherwise.
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To evaluate the effect of different CYP2D6 genotypes on yohimbine pharmacokinetic parameters, an ordinary analysis of variance after logarithmic transformation was used. To study the effect of CYP2D6 inhibition by paroxetine on yohimbine and midazolam pharmacokinetics, a repeated-measures analysis of variance after logarithmic transformation was applied. A p value < 0.05 was considered significant. The statistical analysis was performed using Prism 7.02 (GraphPad Software Inc., La Jolla, CA, USA).
3 Results
Sixteen healthy Caucasian women (n = 7) and men (n = 9) with a known CYP2D6 genotype (EMs, n = 10; IMs, n = 2, PMs, n = 4) were included (age 23–59 years, body mass index 18.8–31.2 kg/m2). Two participants discontinued the trial before the paroxetine administration part for personal reasons.
3.1 Yohimbine Pharmacokinetics After a Single 5-mg Oral Dose
After oral administration of yohimbine 5 mg, highly variable plasma concentrations were observed (Fig. 2). Maximum concentrations were reached quickly in all participants, but there were large significant differences between the CYP2D6 genotypes (Table 1) with Cmax more than tenfold higher in PMs compared with EMs. These genotype-related significant differences were also observed for AUC, volume of distribution at steady state, apparent oral clearance and terminal elimination half-life (Table 1). The high clearance of yohimbine in EMs (5130 mL/min) is reduced by a factor more than 100 in PMs where it is a low-clearance drug at 41 mL/min. Correspondingly, the terminal elimination half-life is more than 6 h in PMs in contrast to the fast elimination in EMs (less than 1 h).
Fig. 2
Yohimbine plasma concentration–time curves divided into genotypes after administration of yohimbine 5 mg in linear and logarithmic presentations. Red points and line: poor metaboliser; blue points and line: intermediate metaboliser, green points and line: extensive metaboliser
Table 1
Pharmacokinetic parameter of yohimbine 5 mg and its metabolite 11-OH-yohimbine after a single oral dose and during treatment with paroxetine 20 mg stratified according to the cytochrome P450 2D6 genotype
Yohimbine 5 mg (n = 10)
+ Paroxetine 20 mg (n = 10)
Yohimbine
11-OH-yohimbine
Yohimbine
11-OH-yohimbine
Geom. mean
95% CI
Geom. mean
95% CI
Geom. mean
95% CI
Geom. mean
95% CI
EM
Cmax (ng/mL)
17.5a,d
9.14–33.3
69.2a
54.9–87.3
59.5d
34.6–102
53.2a
42.2–66.9
tmax (h)e
0.36a,b
0.28–0.49
0.42a
0.33–0.56
0.42
0.31–0.65
0.40a
0.28–0.68
AUC (ng/mL*h)
16.2a,b,d
8.93–29.5
480
418–550
109a,d
48.7–24.2
551
470–645
t1/2 (h)
0.64a,d
0.55–0.74
13.25a
11.8–14.9
1.24a,d
0.91–1.70
15.5
13.8–17.5
Vss/F (L)
313a,d
166–589
18.3d
9.40–35.6
Cl/F (mL/min)
5130a,b,w
2821–9330
768a,d
344–1711
MR AUC
0.03a,b,d
0.02–0.06
0.20a,d
0.10–0.40
IM
(n = 2)
(n = 2)
Cmax (ng/mL)
52.9
1.76–1592
37.4c
15.1–92.6
107
5.66–2035
24.6
0.005–112,113
tmax (h)e
0.75b
0.75c
0.71
1.05
AUC (ng/mL*h)
78.7b,c
16.5–375
376
78.8–1795
488
37.6–6325
436
201–947
t1/2 (h)
0.96c,d
0.05–18.5
14.8
4.6–48.2
2.86d
0.05–172
14.86
0.008–2550
Vss/F (L)
115
3.34–3946
59.6
2.45–1448
Cl/F (mL/min)
1059b,c
222–5047
171
13.2–2218
MR AUC
0.21b,c
0.21–0.21
1.12
0.04–31.5
PM
(n = 4)
(n = 2)
Cmax (ng/mL)
198a
121–327
12.0a,c
4.56–31.6
151
12.2–1864
12.7a
0.33–485
tmax (h)e
1.42
0.97–2.64
6.67a,c
4.93–10.3
1.54
5.46a
AUC (ng/mL*h)
2044a,c
1073–3895
584
135–2528
1410a
409–4861
427
290–628
t1/2 (h)
6.59a,c
5.20–8.35
31.2a
11.5–84.7
5.95a
2.78–12.7
21.16
0.72–619
Vss/F (L)
24.5a
14.8–40.7
203
124–334
Cl/F (mL/min)
40.8a,c
21.4–77.7
59.1a
17.41–204
MR AUC
3.50a,c
0.63–19.5
3.3a
1.42–7.75
AUC area under the plasma concentration–time curve, CI confidence interval, Cl/F apparent oral clearance, Cmax maximum plasma concentration, EM extensive metaboliser, Geom. mean geometric mean, IM intermediate metaboliser, MR AUC metabolic AUC ratio (AUC yohimbine/AUC 11-OH-yohimbine), PM poor metaboliser, stmax time to reach maximum plasma concentration, t1/2 terminal elimination half-life, Vss/F volume of distribution at steady state; p < 0.05
aEM vs PM
bEM vs IM
cPM vs IM
dWithout vs with paroxetine (repeated measures)
eHarmonic mean
×
Plasma concentration–time profiles of the metabolite 11-OH-yohimbine were different between the CYP2D6 genotypes mainly during the first 3 h after yohimbine administration (Fig. 3). This is reflected in fivefold lower Cmax values in PMs and also in a later time to reach maximum plasma concentration, which was prolonged to almost 7 h in PMs (Table 1). Elimination of 11-OH-yohimbine is much longer than for its parent drug (Table 1). The fraction unbound was determined for yohimbine at 2.8 ± 0.9% and for 11-OH-yohimbine at 6.3 ± 4.0%.
Fig. 3
11-OH-yohimbine plasma concentration–time curves divided into genotypes after administration of yohimbine 5 mg in linear and logarithmic presentations. Red diamond and line: poor metaboliser; blue diamonds and line: intermediate metaboliser; green diamonds and line: extensive metaboliser
×
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3.2 Yohimbine Pharmacokinetics After a Single 50-µg Oral Dose
Using an oral microdose of 50 µg, the pharmacokinetics of yohimbine was highly variable and similar to the pharmacokinetics after a 5-mg dose in relation to the CYP2D6 genotypes. Clearly, a differentiation between the three CYP2D6 genotypes can be observed for the yohimbine (Fig. 4) and 11-OH-yohimbine (Fig. 5) plasma concentration–time profiles as well as the resulting pharmacokinetic parameters Cmax, AUC, terminal elimination half-life, volume of distribution at steady state and apparent oral clearance (Table 2). The high clearance of yohimbine in EMs (11,152 mL/min) is reduced by a factor more than 200 in PMs where it is a low-clearance drug at 55 mL/min.
Fig. 4
Yohimbine plasma concentration–time curves divided into genotypes after administration of yohimbine 50 µg in linear and logarithmic presentations. Red points and line: poor metaboliser; blue points and line: intermediate metaboliser; green points and line: extensive metaboliser
Fig. 5
11-OH-yohimbine plasma concentration–time curves divided into genotypes after administration of yohimbine 50 µg in linear and logarithmic presentations. Red diamonds and line: poor metaboliser; blue diamonds and line: intermediate metaboliser; green diamonds and line: extensive metaboliser
Table 2
Pharmacokinetic parameter of yohimbine 50 µg and its metabolite 11-OH-yohimbine after a single oral dose and during treatment with paroxetine 20 mg stratified according to the cytochrome P450 2D6 genotype
Yohimbine 50 µg (n = 10)
+ Paroxetine 20 mg (n = 10)
Yohimbine
11-OH-yohimbine
Yohimbine
11-OH-yohimbine
Geom. mean
95% CI
Geom. mean
95% CI
Geom. mean
95% CI
Geom. mean
95% CI
EM
Cmax (pg/mL)
73.9a,b,d
35.4–154
446a,d
342–581
249d
129–481
848a,d
732–983
tmax (h)e
0.36a
0.28–0.49
0.43
0.31–0.70
0.42
0.31–0.65
0.42
0.31–0.69
AUC (pg/mL*h)
74.7a,b,d
36.1–155
4374d
3621–5283
290a,b,d
176–479
15,649d
9106–26,894
t1/2 (h)
0.68a,b,d
0.58–0.80
16.0a
13.42–19.2
1.29a,d
0.98–1.70
20.22
13.8–29.6
Vss/F (L)
810a,b,d
421–1558
231a,d
124–430
Cl/F (mL/min)
11,152a,b,d
5381–23,115
2066a,d
869–4911
MR AUC
0.02a,b
0.01–0.05
0.04a
0.02–0.06
IM
(n = 2)
(n = 2)
Cmax (pg/mL)
266b,c
58.8–1197
277c
123–628
815
126–5253
566
223–1439
tmax (h)+
0.75c
1.0
0.71
0.60
AUC (pg/mL*h)
456b,c
374–556
4216
2064–8614
2588b
113–59,583
14,066c
48.4–4,089,742
t1/2 (h)
1.33b,c
0.94–1.90
19.1
6.62–54.9
2.50
0.04–164.8
24.0
0.24–2363
Vss/F (L)
226b,c
18.8–2730
83.0
54.0–128
Cl/F (mL/min)
1829b,c
1500–2231
322
14.0–7411
MR AUC
0.10a
0.05–0.19
0.24
0.19–0.30
PM
(n = 4)
(n = 2)
Cmax (pg/mL)
2188a,c
965–4963
83.8a,c,d
42.0–167.2
1392
563–3444
395a,d
37.2–4195
tmax (h)e
1.42a,c
0.97–2.64
7.27a,c
4.44–20.1
1.54
8.00a,c
AUC (ng/mL*h)
15,274a,c
9427–24,745
4402d
2165–8948
12,229a
4946–30,237
20,276d
1.88–2,191,230
t1/2 (h)
5.85a,c
5.57–6.14
34.71a
13.0–92.7
5.55a
2.53–12.2
33.7
0.04–30,114
Vss/F (L)
28.4a,c
16.7–48.4
36.9a
11.8–116
Cl/F (mL/min)
54.6a,c
33.7–88.4
68.1a
27.6–169
MR AUC
3.53a,c
2.11–5.90
3.66a
0.61–21.84
AUC area under the plasma concentration–time curve, CI confidence interval, Cl/F apparent oral clearance, Cmax maximum plasma concentration, IM intermediate metaboliser, EM extensive metaboliser, Geom. mean geometric mean, MR AUC metabolic AUC ratio (AUC yohimbine/AUC 11-OH-yohimbine), PM poor metaboliser, tmax time to reach maximum plasma concentration, t1/2 terminal elimination half-life, Vss/F volume of distribution at steady state, p < 0.05
aEM vs PM
bEM vs IM
cPM vs IM
dWithout vs with paroxetine (repeated measures)
eHarmonic mean
×
×
Differences in the 11-OH-yohimbine plasma concentration–time profiles between the CYP2D6 genotypes were limited to the first hours after administration (Fig. 5). Maximum concentrations were reached after 0.5 h in EMs, after 1 h in IMs and only after more than 7 h in PMs, while maximum concentrations were a fifth in PMs and half in IMs compared with EMs. Terminal elimination half-life was doubled in PMs compared with EMs but AUCs were almost similar for all three groups of genotypes (Table 2). The fraction unbound was determined for yohimbine at 1.9 ± 2.1% and for 11-OH-yohimbine at 5.5 ± 2.8%.
3.3 Influence of Paroxetine on Yohimbine Pharmacokinetics
In EMs, the CYP2D6 inhibitor paroxetine significantly increased Cmax, AUC and elimination half-life of yohimbine and reduced volume of distribution and clearance (Fig. 6) irrespective of the yohimbine dose used (Tables 1, 2). In addition, the metabolite 11-OH-yohimbine showed increased exposure (AUC and Cmax) during paroxetine (Table 2).
Fig. 6
Comparison of yohimbine clearance after oral administration of yohimbine 5 mg and yohimbine 50 µg alone and during paroxetine
×
In contrast, no statistically significant alteration of yohimbine pharmacokinetics was observed in PMs using both 5-mg and 50-µg yohimbine doses. No effect on 11-OH-yohimbine pharmacokinetic parameters was observed after the 5-mg dose; however, with the 50-µg yohimbine dose, paroxetine increased AUC and Cmax significantly (Table 2).
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In the two IMs, paroxetine did not alter yohimbine pharmacokinetics irrespective of the yohimbine dose used (Tables 1, 2), except a prolongation of the yohimbine terminal elimination half-life was observed after yohimbine 5 mg. No changes in 11-OH-yohimbine pharmacokinetics by paroxetine were seen.
3.4 CYP3A Activity
Using the limited sampling methodology after single administration of an oral microdose of midazolam 30 µg, the AUC from 2 to 4 h was 371 ± 235 pg/mL*h (n = 16). No statistically significant changes were observed during yohimbine, paroxetine and yohimbine plus paroxetine treatments irrespective of the yohimbine dose (Table 3). Correspondingly, no significant alterations of the calculated metabolic clearance of midazolam were observed (Table 3).
Table 3
Geometric mean (95% confidence interval) and area under the curve of samples from 2 to 4 h(AUC2–4) and metabolic clearance (Clmet) after midazolam 30 µg under different co-medications
Midazolam dose
Yohimbine dose
Paroxetine dose
AUC2–4 (pg/mL*h)
Clmet (mL/min)
30 µg
–
371 (227–606)
545 (414–717)
30 µg
50 µg
259 (147–456)
584 (459–744)
30 µg
5 mg
351 (217–568)
575 (457–722)
30 µg
20 mg
286 (176–464)
613 (476–790)
30 µg
50 µg
20 mg
340 (200–577)
607 (474–779)
30 µg
5 mg
20 mg
317 (180–559)
652 (516–824)
3.5 Safety
In total, 13 adverse events occurred in 9 of 16 participants. The most frequent events observed were headache (n = 3) and nausea (n = 3), in one case with vomiting. All events were temporary. Most (8 out of 13) events occurred during the paroxetine treatment period.
4 Discussion
4.1 Yohimbine and CYP2D6
After administration of an oral therapeutic dose of yohimbine (5 mg) as well as a microdose (50 µg), highly variable pharmacokinetics of yohimbine and its main metabolite in plasma 11-OH-yohimbine were observed. The apparent oral clearance of yohimbine in this healthy volunteer population varied more than 600-fold from 25.3 to 15,864 mL/min after the single oral 5-mg dose and even more than 900-fold from 39.6 to 38,822 mL/min after the single oral 50-µg dose. This variability is clearly associated with the polymorphic CYP2D6 enzyme because yohimbine clearance was highest in CYP2D6 EMs and lowest in PMs. Calculating the fractional clearance of yohimbine via CYP2D6 by 1-(AUCEM/AUCPM) using the mean values of both genotype groups after the 50-µg administration results in 0.995, which demonstrates the almost exclusive and complete elimination of yohimbine via the CYP2D6-mediated 11-hydroxylation. In a pharmacokinetic study using oral and intravenous yohimbine, 1 out of 12 healthy study participants showed a 15-fold reduced yohimbine clearance [27]. This slow metaboliser was said to co-segregate with the CYP2D6 polymorphism.
Considerable variability of yohimbine pharmacokinetics was reported in an earlier study with healthy volunteers [28]. There, one of eight volunteers showed a 10- to 20-fold lower yohimbine clearance. A bioavailability study in seven healthy volunteers demonstrated a range from less than 10% up to 90% bioavailability, and the one volunteer with the lowest clearance and highest bioavailability was at least discussed [29]. Another study investigated the yohimbine pharmacokinetics after intravenous bolus administration in 13 healthy volunteers. Again, one volunteer showed a tenfold lower metabolic clearance than the rest of the group [30]. Overall, this occurrence of reduced metabolism in about 10% of the study participants fits well with the knowledge that in a Caucasian population, the frequency of CYP2D6 PMs ranges between 7 and 10% [12].
A larger study involving 172 volunteers to investigate the α2-adrenegic blockade demonstrated that after a 15-min yohimbine infusion no concentration of the metabolite 11-OH-yohimbine was measurable at this time point in 17 volunteers [15]. The study identified ten PMs by genotyping; however, a conclusive analysis was not performed probably owing to the single metabolite concentration measured at 15 min (end of infusion). However, in vitro enzyme kinetics showed CYP2D6 is responsible for the 11-OH-yohimbine formation [15]. With the results of our CYP2D6 panel study, it becomes evident that CYP2D6 plays the major role in yohimbine elimination via 11-hydroxylation with extreme differences in yohimbine clearance between the CYP2D6 genotypes.
The role of CYP2D6 in yohimbine elimination is further supported by the paroxetine interaction results. Paroxetine is a very potent serotonin reuptake inhibitor and also a substrate and an inhibitor of CYP2D6 [31]. Paroxetine significantly decreased yohimbine clearance in EM and IM subjects, but not in PMs. This was observed when using the 5-mg and 50-µg yohimbine doses. It has been shown that paroxetine is able to change the CYP2D6 phenotype measured by dextromethorphan as a probe drug [32]. Subjects with one functional allele converted to the PM phenotype by 94% whereas 56% of subjects with two functional alleles changed their phenotype to PM during paroxetine treatment [32].
If a drug is eliminated predominantly by a certain enzyme (i.e. CYP3A or CYP2D6), the clearance to the drug (i.e. midazolam or yohimbine) reflects the enzyme activity responsible for the elimination. These drugs with predominant and specific pathways are probe drugs and can be used for phenotyping of metabolic enzyme or transporter activity. This process is established for midazolam as a probe drug for CYP3A [33, 34]. For enzymes with genetic polymorphisms such as CYP2D6, it has been proposed to replace phenotyping by genotyping and a CYP2D6 AS has been established that should reflect the enzyme activity [35]. When transforming the alleles of the study participants into the CYP2D6 AS, this resulted in AS 0 (n = 4), AS 0.5 (n = 2), AS 1 (n = 2) and AS 2 (n = 8). The yohimbine clearance was evaluated for a relationship with this AS, which is shown in Fig. 7 for the 50-µg yohimbine dose. There is a significant log-linear relationship with a weighted r2 of 0.56, which may be due to the limited data points or a wrong model. However, the clearances of the AS groups deviate largely from the predicted clearance. At AS 0, a clearance of 250 mL/min is predicted by the model, which indicates a 4.6-fold overestimation as the average measured clearance was 55 mL/min. Furthermore, at AS 1, the predicted clearance is 2.1-fold underestimated (Fig. 7). At AS 2, the almost twofold overestimated yohimbine clearance increases to 10.6-fold during paroxetine treatment, which is the result of potent CYP2D6 inhibition.
Fig. 7
Relationship between yohimbine clearance and cytochrome P450 2D6 (CYP2D6) activity score after single oral administration of yohimbine 50 µg
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The major drawbacks of genotyping are large inter-individual variabilities within genotype groups or AS groups that can be observed in this study for AS 2. These variabilities occur regardless of the phenotyping method employed and also the contribution of phenoconversion resulting from non-genetic extrinsic factors modifying enzyme activity but not the genotype [35‐37].
4.2 CYP2D6 Phenotyping
For certain probe drugs used for phenotyping of certain enzymes, the metabolic ratio between the parent drug and the metabolite of interest or vice versa is often applied as an activity measure [38‐40]. The metabolic ratio of yohimbine/11-OH-yohimbine AUCs can also be used for determination of enzyme activity. Interestingly, the pharmacokinetics of the yohimbine metabolite 11-OH-yohimbine showed a CYP2D6 genotype dependency only during the first hours after yohimbine administration, which is during the metabolite formation period given the short half-life of yohimbine. The elimination of 11-OH-yohimbine seems to be independent of CYP2D6 as the terminal elimination half-life is very similar in all genotypes.
CYP2D6 phenotyping had a number of probe drugs over the last decades with sparteine and debrisoquine widely used [41, 42]. However, both probe drugs are no longer available and dextromethorphan was selected as a suitable probe drug [43]. Typically, the urinary metabolic ratio of dextromethorphan and dextrorphan is used as an activity measure [34]. A long elimination half-life restricts the use of dextromethorphan especially in drug–drug interaction trials. Furthermore, CYP3A is involved in the metabolism of dextrorphan, the metabolite formed via CYP2D6 [44]. The microdose approaches using dextromethorphan have been dismissed because of non-linear pharmacokinetics [45, 46]. Therefore, microdosed yohimbine might be a valid future option to phenotype accurately CYP2D6 activity in humans. Of course, a validation study must be conducted and these data should also be compared to the current standard phenotyping method using dextromethorphan.
With this study, we also suggest including microdosed yohimbine for microdosed cocktails used to assess enzyme activities. Both the 5-mg and 50-µg yohimbine doses did not alter the estimated partial metabolic clearance of midazolam using a 30-µg oral midazolam dose simultaneously. However, the advantages of the microdoses are that there are no expected pharmacodynamic effects and thus drug-related side effects in trials are reduced to a minimum. Midazolam and yohimbine appear suitable for a simultaneous microdose administration to identify possible drug–drug interactions or perpetrator properties of new drugs.
4.3 Protein Binding
The plasma protein binding of yohimbine and 11-OH-yohimbine was determined to be substantially higher than previously observed (yohimbine: 97.2% vs 82%; 11-OH-yohimbine: 93.7% vs 43%) [47]. There are methodological differences in the method of determination (ultrafiltration vs rapid equilibrium dialysis) with rapid equilibrium dialysis currently the most commonly used and established approach [48].
4.4 Limitations
Certainly, the small number of participants in the PM and IM groups is a limitation of this investigation. However, because results of the genotype groups for yohimbine exposure, clearance and half-life were large and clearly separated, the conclusions of this trial are justified. Indeed, the main interest was the ability to determine the activity of CYP2D6, which was achieved. In addition, CYP2D6 inhibition resulted in the expected decrease of yohimbine clearance in EM and IM participants whereas insignificant changes in PMs were expected because of a lack of functional enzymes and/or alternative pathways. Unfortunately, no ultra-rapid metaboliser could be identified during the genotype screening. The highest observed clearance of yohimbine 50 µg was 38.8 L/min, which might even be much higher in ultra-rapid metabolisers, which would then result in a more than 1000-fold difference in yohimbine clearance in the population.
5 Conclusions
A therapeutic dose (5 mg) and microdose (50 µg) of yohimbine were successfully applied to evaluate the CYP2D6 activity in CYP2D6 genotyped healthy persons. CYP2D6 inhibition significantly decreased yohimbine clearance. Microdosed yohimbine can also be combined with microdosed midazolam to simultaneously determine CYP2D6 and CYP3A activity. Microdosed yohimbine seems to be exclusively eliminated by CYP2D6 and is therefore an excellent candidate to become a reference probe drug for CYP2D6 activity assessment.
Acknowledgements
Open Access funding provided by Projekt DEAL. The authors thank Kathrin Foerster for monitoring the study, Annika Elbe, Brit-Silja Rohr, Vanessa Zhu, Florian Michel and Marlies Stützle‐Schnetz for their excellent assistance during the study performance, and Jürgen Burhenne, Magdalena Longo and Andrea Deschlmayr for their support in the development of the method and analyses of the samples.
Compliance with Ethical Standards
Funding
This trial was funded by internal resources of the Department of Clinical Pharmacology and Pharmacoepidemiology, University Hospital Heidelberg. No medical writing support was used.
Conflict of interest
Manuela Vay, Marleen Julia Meyer, Antje Blank, Gisela Skopp, Peter Rose, Mladen Vassilev Tzvetkov and Gerd Mikus have no conflicts of interest that are directly relevant to the content of this article.
Ethics approval
All procedures performed in studies involving human participants were in accordance with International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use Good Clinical Practice guidelines and the ethical standards of the current Declaration of Helsinki.
Consent to participate
All included volunteers gave their written informed consent prior to any study procedures.
Trial registration
The trial was registered at the European Union Drug Regulating Authorities for Clinical Trials (EudraCT2017-001801-34).
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