Division of Clinical Pharmacology, Georgetown University Medical
Center, Washington, DC; and the Pharmacokinetics Division, Department
of Oncology, and the Department of Pharmacology, McGill University,
Montreal, Quebec, Canada
To determine the effect of age on exposure to the circulating major
verapamil metabolites norverapamil, N-dealkylverapamil (D-617), and N-dealkylnorverapamil (D-620),
plasma concentrations of verapamil and the three metabolites were
determined during the last dose interval of a 14-day administration
period of 240 mg of sustained release verapamil once daily in 11 older
(aged 65-75 years) and 8 younger (20-28 years) healthy male
volunteers. Area under the plasma concentration time curve (AUC) was
greater for verapamil (mean ± S.D.) (2815 ± 733 older
versus 1639 ± 466 ng/ml·h
1 young;
P < .0007) and norverapamil (2927 ± 655 versus 2143 ± 471 ng/ml·h
1; P < .007); however, it was not significantly different for D-617 [2386 ± 772 versus 1894 ± 418 ng/ml·h
1;
not significantly different (NS)] and
N-dealkylnorverapamil (897 ± 366 versus 757 ± 104 ng/ml·h
1; NS) in older as compared with young
subjects. These data indicate that impaired verapamil oral clearance
previously described in older men does not result in decreased exposure
to the formed major metabolites, rather there is increased exposure to
norverapamil and the same or a trend toward greater exposure to D-617
as well. This suggests that in addition to the impaired clearance
mechanisms for verapamil, which are thought to be primarily mediated by
CYP3A, biotransformation processes distal to the formation of
norverapamil and D-617 are impaired as well.
 |
Introduction |
Verapamil disposition clearance has been
described as decreased in older as compared with younger subjects and
patients (Abernethy et al., 1986
, 1993
; Schwartz, 1990
). This is
apparently true after single doses of either i.v. or oral verapamil and
during chronic i.v. infusion or oral administration of verapamil as
would more commonly occur during therapy. Verapamil biotransformation
in humans is predominantly mediated by CYP3A species, with gut wall CYP3A thought to contribute substantially to oral clearance (Kroemer et
al., 1992
, 1993
; Fromm et al., 1996
). Previous reports indicate that
formation of D-617
(N-dealkylverapamil)1
may be in part mediated by CYP1A2 (Kroemer et al., 1992
); however, the
involvement of CYP2C8 has also been implicated in the formation of both
D-617 and D-620 (N-dealkylnorverapamil) in human liver microsomal studies (Tracy et al., 1999
). In addition, indirect studies
have implicated hepatic flavin-containing monooxygenase in the
N-oxygenation reaction that leads to formation of both D-617
and D-620 (Cashman, 1989
). Therefore, it remains uncertain which drug
metabolizing enzyme activities may be decreased in older individuals,
and which result in the observed decreases in parent drug verapamil
clearance. Although norverapamil has usually been reported as the
formed metabolite that attains substantial plasma concentrations in
humans after verapamil exposure (Abernethy et al., 1984
), D-617 and
D-620 have also been noted in patients and healthy volunteers in
concentrations of the same magnitude as verapamil and norverapamil
(Barbieri et al., 1985
; Padrini et al., 1985
; Piotrovskii et al.,
1986
).
Pharmacological activity of the metabolites has been studied in the dog
(Neugebauer, 1978
) and perfused rabbit heart (Johnson et al., 1991
).
Norverapamil may have about 20% of the potency of verapamil to block
cardiac atrioventricular conduction and mediate coronary
vasodilatation in these preparations, whereas D-617 may have
limited effects on cardiac contractility and D-620 may have some
effect on slowing atrioventricular conduction. Both are much less
potent than parent drug verapamil and somewhat less potent than
norverapamil for any of the measured pharmacodynamic effects.
This study is a further analysis of our previous report (Abernethy et
al., 1993
), which noted markedly decreased clearance of both verapamil
enantiomers in older as compared with young healthy male
volunteers (Table 1). Here we report the
analysis of plasma concentrations of racemic verapamil,
norverapamil, D-617, D-620,
(2-[4-hydroxy-3-methoxyphenyl]-8-[3,4-dimethoxyphenyl]-6-methyl-2-isopropyl-6-azaoctanitrile) (PR-22), and ([3,4-dimethoxyphenyl]-acetic acid) (PR-25) and
note that exposure to all detectable species is substantially greater (verapamil, norverapamil) or tending to be greater (D-617, D-620) in
older individuals.
 |
Materials and Methods |
Samples were analyzed from 11 older (aged 65-75 years) and 8 younger (aged 20-28 years) healthy males who were on no medications and in good health. All were nonsmokers and of similar height (67-73 inches, older; 68-76 inches, younger) and weight (75-100 kg,
older; 61-91 kg, younger). Overall study design was as previously described (Abernethy et al., 1993
), and subjects included in this study
were those who had sufficient plasma samples for the additional drug
and metabolite analysis. Samples for this analysis were obtained after
the last dose of a 7-day administration of 240 mg of verapamil (Calan
SR, G.D. Searle, Skokie, IL) once daily. Samples were obtained immediately before the last dose and at 0.5, 1.0, 1.5, 2.0, 2.5, 3, 4, 5, 6, 7, 10, 12, 16, and 24 h after the dose. An achiral HPLC
assay was developed to measure total verapamil and its metabolites, norverapamil, D-617, D-620, PR-22, and PR-25. Analytical standards for
verapamil and metabolites were kindly provided by Dr. James Longstreth
(G.D. Searle and Co.). The enantiospecific HPLC method previously described for the determination of (R)- and
(S)-verapamil and (R)- and
(S)-norverapamil concentrations in plasma (Shibukawa and
Wainer, 1992
) could not be used in this study because the expected
plasma concentrations of D-620, PR-22, and PR-25 were too low to be
detected by this assay.
In the method developed for this study, verapamil and its metabolites
were separated from each other and from matrix interferences on a
150 × 4.1 mm i.d. column containing a 5-µm C18 support (ODSII column; Regis Chemical Company, Morton Grove, IL). The mobile phase
consisted of 0.3% diethylamine in water modified with acetonitrile (69:31, v/v). The pH of the aqueous portion of the mobile phase was
adjusted to 4 with glacial acetic acid before the addition of
acetonitrile. The flow rate was 1.0 ml/min, and ambient temperature was
used throughout the study. The analytes were detected using a
fluorescence detector, excitation wavelength
= 236 nm and emission wavelength
= 310 nm. Under these conditions, baseline separation was achieved for verapamil and its metabolites, as well as
for the internal standard, gallopamil. The observed relative retentions, expressed as capacity factors (k values) were:
k'(PR-25) = 6.0, k'(D-620) = 8.0, k'(D-617) = 10.0, k'(PR-22) = 30.0, k'(verapamil) = 60.0, k'(norverapamil) = 70.0, k'(gallopamil) = 80.0. Stability studies of verapamil and metabolites over time in plasma and standard solvent were determined and all were stable at
20°C for more than 4 years. All analyses were performed within 3 years of sample collection,
with samples maintained at
20°C from the time of collection to analysis.
Plasma samples were assayed by transferring a 600-µl aliquot to a
1.5-ml amber polypropylene microcentrifuge tube followed by the
addition of 60 µl of the internal standard gallopamil (0.5 µg/ml in
water). The resulting solution was centrifuged for 30 min at 13,000 rpm, and 1 ml of the supernatant was transferred to a 1-ml C-18
extraction column (Wennick Scientific, Ottawa, Canada). The
solid-phase extraction column had been previously conditioned with 2 ml
of water, the analytes were eluted with 2 ml of methanol (containing
0.3% diethylamine), the methanol was evaporated to dryness under a
stream of air, the resulting residue was dissolved in 250 µl of 0.0l
M HCl for 10 min at 10°C, and a 50-µl aliquot was injected into the
chromatographic system.
Standard curves were prepared for verapamil and norverapamil using
concentrations of 500, 400, 300, 200, 100, and 50 ng/ml. Standard
curves for the remaining metabolites were constructed using
concentrations of 120, 100, 80, 60, 40, 20, and 10 ng/ml. Triplicate
samples were prepared for each concentration Calibration curves
plotting analyte plasma concentration as a function of the
analyte/internal standard peak area ratios were derived for verapamil
and each of the metabolites. All of the standard curves were linear
with the after regression equations: verapamil y = 0.0065x
0.0814, R2 = 0.9966; norverapamil y = 0.0063x
0.0912, R2 = 0.9965; D-620 y = 0.0047x
0.0025, R2 = 0.9793; D-617
y = 0.004x
0.0058, R2 = 0.9881;
PR-22 y = 0.0052x
0.0048, R2 = 0.9862; PR-25 y = 0.0029x
0.0115, R2 = 0.985.
Plasma recoveries were determined by using spiked plasma concentrations
for verapamil and norverapamil of 600, 300, and 50 ng/ml whereas the
recoveries of the other analytes, D-617, D-620, PR-22, and PR-25, were
examined at 120, 60, and 10 ng/ml. The peak area ratios of the three
extracted samples of the analytes were compared with two aqueous
unextracted samples to derive percent recovery. The recoveries were
above 80% for all analytes at all levels except for PR-22 and PR-25,
where the recoveries from serum samples containing 10 ng/ml of each
analyte were 65 and 66%, respectively. A dilution experiment was also
assessed to verify whether dilution of samples off the curve could be
reliably assayed. This became an issue during the quantification
of subject samples. Occasionally, a subject would have a value for
D-617 or D-620 that exceeded the maximum value on the standard curve.
The results indicated that concentrations that exceeded the maximum
value on the standard curve could be determined with an accuracy of
93% and a c.v. of 6%.
Area under the plasma concentration time curve (AUC) for each
species from 0 to 24 h was determined by the linear trapezoidal method. Comparisons between older and younger subjects for the various
parameters were made by the Student's t test assuming unequal variances between groups. A two-sided P value of
less than .05 was accepted as significant.
 |
Results |
The human metabolic pathway of verapamil is shown in Fig.
1. The plasma concentration data reported
here represent exposure to either verapamil or the metabolite, and
reflect both formation and clearance rate of these various intermediate
metabolites. Plasma concentrations of verapamil, norverapamil, D-617,
and D-620 at each time point are shown in Fig.
2(A-D). At the same dose, older subjects
appear to have greater exposure to verapamil and norverapamil, and the
same or somewhat greater exposure to D-617 and D-620 as compared with
younger subjects. As previously reported, intersubject variability is
large for both groups. To compare exposure to the various species
within a subject age group, mean concentrations of each are
demonstrated in Fig. 3 (A and B). Within each group, exposure to verapamil, norverapamil, and D-617 is similar,
and to D-620 approximately one-third that of the other species. AUC
comparisons reflected these observations, with exposure to verapamil
and norverapamil greater in older subjects and exposure to D-617 and
D-620 tending to be greater in older subjects, although this was not
statistically significant (Table 2; Fig.
4). To further explore the relative
changes in metabolite formation as reflected by steady-state plasma
concentrations in older versus younger subjects, the metabolite
AUC/verapamil AUC ratio was determined and compared between groups
(Fig. 5). The ratio of norverapamil to
verapamil AUC was decreased in older subjects, as was that of D-620 to
verapamil AUC, whereas that of D-617 to verapamil AUC tended to be
lower in older subjects, although not significantly so. There
are many limitations on interpretation of such data; however, they
suggest in general that the greater exposure to norverapamil and
tendency to greater exposure to D-617 and D-620 in older subjects is
due to decreased verapamil clearance and the attendant higher
concentrations. Additionally, such findings support the possibility
that enzyme activities that mediate clearance of norverapamil, D-620,
and perhaps D-617 are decreased in older as compared with younger
subjects.

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Fig. 1.
Metabolic pathway for verapamil in humans.
Species measured in this study were verapamil, norverapamil, D-617,
D-620, PR-22, and PR-25. PR-22 and PR-25 were not detectable in any
subject (<10 ng/ml at all time points).
|
|

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Fig. 2.
Plasma concentration-time profiles for
verapamil and measurable metabolites.
A, plasma verapamil concentrations (mean ± S.D.) over one
dose interval for elderly and younger subjects; B, plasma norverapamil
concentrations (mean ± S.D.) over one dose interval for elderly
and younger subjects; C, plasma D-617 concentrations (mean ± S.D.) over one dose interval for elderly and younger subjects; D,
plasma D-620 concentrations (mean ± S.D.) over one dose interval
for elderly and younger subjects.
|
|

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Fig. 3.
Pharmacokinetic curves which represent:
A, mean verapamil and metabolite concentrations for elderly subjects
over one dose interval; B, mean verapamil and metabolite concentrations
for young subjects over one dose interval.
|
|

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Fig. 4.
AUC over the 24-h dose interval for
verapamil and metabolites in elderly and young subjects.
Error bars indicate S.D. of the mean. *P < .05.
|
|

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Fig. 5.
Ratio of metabolite AUC to verapamil AUC
over the 24-h dose interval for elderly and young subjects.
Error bars indicate S.D. of the mean. *P < .05.
|
|
 |
Discussion |
These data indicate that with chronic dosing of sustained release
verapamil at a dose of 240 mg/day healthy older men have greater
exposure to verapamil and norverapamil, tend to have increased exposure
to D-617, and have similar exposure to D-620 as compared with young
men. The clinical importance of such an observation is unknown, but
unlikely to be associated with the altered verapamil responses observed
in older individuals (Abernethy et al., 1986
, 1993
; Schwartz, 1990
) due
to the limited pharmacological activity of these metabolites
(Neugebauer, 1978
; Johnson et al., 1991
). In contrast, these findings
do add insight regarding which enzymes of drug biotransformation have
diminished activity with increasing age. CYP3A4 and CYP3A5 have been
implicated in the formation of both norverapamil and D-617 (Kroemer et
al., 1992
, 1993
; Fromm et al., 1996
; Tracy et al., 1999
) and they have
an important role in verapamil gut wall metabolism (Fromm et al.,
1996
). These findings are consistent with decreased clearance in older
male subjects of other CYP3A substrates such as midazolam and triazolam
(Greenblatt et al., 1983
, 1984
). Previous reports of CYP1A2 and CYP2C8
having a role in verapamil and metabolite biotransformation (Kroemer et
al., 1992
, 1993
; Tracy et al., 1999
) are difficult to place into the
context of the present data as the in vivo contribution of these CYP
enzymes is uncertain. Confounding these and other clinical
pharmacokinetic findings that rather consistently note decreased CYP3A
activity with age is the report of no age-related change in CYP3A
activity as measured by erythromycin N-demethylation in
resected human liver preparations (Hunt et al., 1992
). The more
recently described feature of verapamil disposition is the role of
P-glycoprotein in its gut absorption and distribution (Doppenschmitt et
al., 1999
). There are no data available that relate to age-related
changes in expression or activity of P-glycoprotein; therefore, any
potential contribution to the present data cannot be predicted.
In summary, these data indicate that exposure to not only verapamil,
but also its metabolite norverapamil is increased during chronic
oral verapamil administration to older subjects. In addition, exposure to D-617 tends to be increased with age and exposure to
D-620 is similar in younger and older individuals when the same dose
regimen of oral verapamil is administered to both groups, whereas PR-22
and PR-25 are not detectable in the plasma of older or younger subjects
during steady-state oral verapamil treatment.
We thank Nektaria Markoglou for assistance in determination of
verapamil and metabolite plasma concentrations.
Received November 22, 1999; accepted March 13, 2000.
This work was supported in part by National Institutes of
Health Grants AG-08226 and GM-08386.