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Vol. 27, Issue 1, 110-112, January 1999
Clinical Pharmacology, Glaxo Wellcome, Mississauga, Ontario, Canada (B.W.C., B.N., R.L.); Department of Drug Metabolism, Glaxo Wellcome, Research Triangle Park, North Carolina, United States of America (C.G., J.A.); and Clinical Pharmacology Division, Glaxo Wellcome, Greenford, Middlesex, United Kingdom (B.T., J.L.P.)
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Abstract |
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This open-label, randomized, two-way crossover study compared the relative heterogeneity in systemic availability of oral ondansetron and granisetron. It was conducted in 10 healthy male and 10 healthy female subjects aged 18 to 50 years. Following an overnight fast, each subject received 8 mg ondansetron and 1 mg granisetron. Treatments were separated by 7 days. Blood samples for drug assay were collected over a period of 36 h and variability in pharmacokinetic parameter estimates were assessed following standardization by their respective means. Granisetron showed significantly more variability than ondansetron in the three primary endpoints of the area under the curve extrapolated to infinite time, the area under the curve to the last quantifiable time point, and maximal concentration (p = .0032, .0037, and .0042, respectively). In one subject, concentrations of granisetron were detectable but below the lower limit of quantitation at any time point. The impact this variability may have on therapeutic efficacy is not clear. An apparent bimodal distribution in granisetron AUC infinite, which appeared to be related to smoking was observed. Because granisetron has been reported to be metabolized primarily by the cytochrome P-450 (CYP) 3A isozyme family in humans, it is possible that cigarette smoke could be an inducer of CYP3A or that CYP1A2, also implicated in the metabolism of granisetron and known to be induced by smoking, is more important in the biotransformation of granisetron than previously thought.
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Introduction |
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Heterogeneity in
drug disposition is well known and can play a major role in the
variability observed in therapeutic response to an agent. The CYP3A
(cytochrome P-450 3A)1
subfamily of cytochromes metabolize many drugs and are highly variable
in their degree of expression. Of the four known members of the CYP3A
subfamily in humans, CYP3A4 and CYP3A5 are found in the digestive
tract, in addition to other metabolic sites, and both isozymes display
heterogeneity in their expression in different parts of the gut
(Lown et al., 1994
; Kolars et al., 1994
). As a consequence of
this, compounds that are metabolized predominantly by CYP3A can show
particularly marked variability in oral bioavailability due to
intersubject differences in first-pass metabolism in addition to
variability in hepatic and other systemic metabolic processes.
Ondansetron (Zofran; Glaxo Wellcome Toronto, Canada) and granisetron
and granisetron (Kytril; SmithKline Beecham, Oakville, Canada)
are potent and selective 5-hydroxytryptamine3 receptor antagonist antiemetics. Both compounds are extensively metabolized, although the range of enzymes responsible for the biotransformation of
each is markedly different. Ondansetron is metabolized via a number of
CYP450 enzymes, including CYP1A1, CYP1A2, CYP2D6, and CYP3A4, with no
isoform dominating the overall metabolism (Dixon et al., 1995
). In
contrast, granisetron is largely dependent on the CYP3A family (Bloomer
et al., 1994
). Given these differences, it was probable that greater
heterogeneity in systemic availability would be observed following oral
administration of granisetron than ondansetron. Published information
supported this view (Pritchard et al., 1992
; Cupissol et al., 1993
;
Allen et al., 1994
, 1995
), but there were no data generated
prospectively under well-controlled conditions to evaluate and quantify
any such differences. Hence, the objective of this study was to
determine the relative heterogeneity in systemic availability of oral
ondansetron (8 mg) to a comparable therapeutic dose of oral granisetron
(1 mg) in a normal population of adults.
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Materials and Methods |
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This open-label, randomized, two-way crossover study was conducted in 10 healthy male and 10 healthy female subjects aged 18-50 years. Single oral doses of 8 of mg ondansetron and 1 mg of granisetron, as commercially available tablets, were given in random order with 200 ml of water following an overnight fast. Treatments were separated by a 7-day washout period. Blood samples for serum drug assay were collected predose and at intervals up to 36 h postdosing for each treatment.
Bioanalysis.
Serum samples were analyzed by validated high-performance liquid
chromatography with tandem mass spectrometric detection methods with calibration ranges of 1 to 1000 ng/ml for ondansetron and 0.2 to
200 ng/ml for granisetron. Peak area ratios of ondansetron and
granisetron versus their respective labeled internal standards were
used for quantitation. Linear regression analysis with 1/x weighting
was used to derive calibration standard curves. The interday quality
control precision for ondansetron was
10.9%, and the accuracy ranged
from 88.8 to 101.9% of nominal. The interday quality control precision
for granisetron was
9.5%, and the accuracy range was 97.4 to 105.6%
of nominal.
Pharmacokinetic and Statistical Analysis.
Maximal concentration (Cmax) was the
highest observed concentration. The elimination rate constant
(
z) was calculated by linear least-squares
regression of the terminal elimination phase of the log serum
concentration versus time plot. The area under the curve (AUC) was
calculated by the linear trapezoidal method before
Cmax and log trapezoidal thereafter. AUC
from the last measured concentration to infinite time was calculated by
dividing the last measured concentration by
z.
The data were standardized by dividing individual values for each
treatment by the corresponding mean. The primary analyses compared
ratios of standardized variances for the two treatments on
AUC
,
AUClast, and
Cmax. The null hypothesis of equal variance
was evaluated by testing whether the linear correlation between
individual sums (ondansetron + granisetron) and differences
(ondansetron
granisetron) was zero. The strength of any
evidence against the null hypothesis was assessed by the corresponding
p value ascertained for testing that the correlation
coefficient was zero. All statistical tests were carried out at the
two-sided 5% level of significance.
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Results and Discussion |
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All subjects received the study treatment and had blood drawn
during both dosing periods of the study. In one male subject serum
granisetron concentrations were below the 0.2 ng/ml limit of
quantitation (LOQ) at all time points. Clinical staff verified that the subject took the dose, and evidence of granisetron below the
quantifiable limit was observed in the chromatograms. Serum ondansetron
concentrations in the same subject were quantifiable. Parameter values
for ondansetron and granisetron before and following mean
standardization are shown in Table 1
along with the estimated ratios (granisetron/ondansetron) of variances,
associated 95% confidence intervals, and p values. For all
parameters, the variance associated with granisetron was significantly
greater than that associated with ondansetron. For both compounds, the
range of AUC
values (ondansetron,
7-fold; granisetron, 41-fold) was similar to that reported following
i.v. administration (Allen et al., 1994
; Roila and Del Favero, 1995
).
However, the 41-fold range for granisetron
AUC
excludes the subject in whom granisetron concentrations were below the LOQ at all time points. If an
assay with a sufficiently low LOQ were available, inclusion of this
value would have resulted in a substantially greater range for all
granisetron parameters.
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The normalized granisetron AUC
values
displayed an apparent bimodal distribution, whereas the ondansetron
values in the same subjects appeared to be more normally distributed
(Figure 1). The demographic data
collected during the study revealed that the granisetron bimodality
appeared to be related to the smoking history of the subjects, with
nonsmokers having higher normalized AUC values than current smokers
with median (and range) values of 1.82 (0.53-2.09) and 0.18 (0.07-1.01), respectively. This trend was not apparent for ondansetron
for which the median and range normalized AUC values were 1.15 (0.59-1.97) and 0.91 (0.54-1.46) in nonsmokers and smokers,
respectively. These values exclude three subjects who were recorded as
"former" smokers, because the time since cessation was not
established. These data may only be considered preliminary
observations, because the study was not designed to detect bimodality
and, hence, the subject numbers are insufficient to perform a
meaningful statistical analysis. However, if real, these observations
may be relevant to the interpretation of the existing in vitro
metabolism data for granisetron. The variability in granisetron
pharmacokinetics in vivo has been linked to the in vitro variability of
rate of human liver 7-hydroxylation of granisetron (Bloomer et al.,
1994
), suggesting that the majority of the variability in the
metabolism of granisetron could be explained by heterogeneity in CYP3A
activity. Although the results of this study could be interpreted as
supporting this view, the apparent bimodality in
AUC
distribution, if real, suggests
otherwise. Many drugs (e.g., rifampicin, phenobarbital, carbamazipine,
and dexamethasone) and even dietary salt (Darbaret al., 1997) are known
to induce CYP3A. CYP3A is not, however, generally accepted to be
inducible by cigarette smoking, although there is emerging data that
may suggest otherwise (Wanwimolruk et al., 1995
; Hossain et al., 1997
;
Frye et al., 1997
). Alternatively CYP1A2, reported as contributing only
a minor role in the 7-hydroxylation of granisetron (Bloomer et al.,
1994
), may be more important in granisetron biotransformation than
previously suspected, particularly in individuals who smoke.
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The impact that variability in systemic exposure of the
5-hydroxytryptamine3 receptor antagonists may have on the
therapeutic outcome in a clinical setting remains unclear, because
there are conflicting reports regarding the correlation, or lack of
correlation, between systemic concentration or exposure and effect. In
part, this may be due to the heterogeneous nature of the patient
population, particularly with regard to age, gender, and other
environmental factors such as alcohol consumption, which are known to
affect response to emetogenic stimuli. However, there are also reports of relationships between concentration (Carmichael et al., 1989
; Pritchard et al., 1995
) or total exposure (Haberer and Palmer, 1995
)
and effect for this class of antiemetic agents, and reliability in
systemic drug delivery following oral administration could therefore be
advantageous in ensuring consistent clinical results. It has also been
proposed that the local action of granisetron in the proximal gut
mucosa could explain the apparent lack of a
pharmacokinetic-pharmacodynamic relationship (Blower, 1995
). This
would now appear unlikely because, before reaching the afferent neurones in the proximal gut mucosa, an orally administered drug would
be subject to gut wall metabolism, which this study has demonstrated is
a significant factor in determining the variability in systemic
exposure for granisetron.
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Footnotes |
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Received January 16, 1998; accepted June 18, 1998.
1
Abbreviations used are: CYP, cytochrome P-450;
AUC
, area under the curve extrapolated to
infinite time; AUClast, area under the curve
to the last quantifiable time point; and Cmax,
maximal concentration; LOQ, limit of quantitation.
Send reprint requests to: J. L. Palmer, Clinical Pharmacology Division, Glaxo Wellcome Research and Development, Greenford Road, Greenford, Middlesex UB6 0HE, United Kingdom. E-mail jlp4823{at}glaxowellcome.co.uk
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References |
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