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Development and validation of an in vitro

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Development and validation of an in vitro in vivo correlation for extended buspirone HCl release tablets Sevgi Takka, Adel Sakr and Arthur Goldberg – PowerPoint PPT presentation

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Title: Development and validation of an in vitro


1
Development and validation of an in vitroin vivo
correlation for extended buspirone HCl release
tablets
  • Sevgi Takka, Adel Sakr and Arthur Goldberg
  • Journal of Controlled Release
  • Volume 88, Issue 1, 14 February 2003, Pages
    147-157

2
Objective
  • According to the Biopharmaceutics classification
    system, buspirone hydrochloride can be classified
    as a Class 1 drug, i.e., high solubility and
    permeability.
  • In addition, it is a highly variable drug,
    exhibiting a very high first pass metabolism and
    only about 4 of an orally administered dose will
    reach the systemic circulation unchanged after
    oral administration.
  • Therefore, the purpose of this study was to
    develop an IVIVC for a novel hydrophilic matrix
    extended release buspirone hydrochloride tablets.

3
Formulation
  • Extended release formulations of buspirone
    hydrochloride were developed using hydroxypropyl
    methylcellulose (HPMC) as one of the release rate
    controlling excipients, and Eudragit L100-55 as
    the other controlled release polymer, and
    included silicified microcrystalline cellulose as
    filler, and magnesium stearate as lubricant.
  • The formulations were designed to release
    buspirone hydrochloride at two different rates
    referred to as Slow and Fast. The
    high-viscosity HPMC (Methocel K100M) and the
    low-viscosity HPMC (Methocel K100LV) are used for
    slow and fast release, respectively

4
Dissolution Testing
  • The release characteristics of the formulations
    were determined using USP Apparatus II, at 50 and
    100 rpm, in 0.1 M HCl or pH 6.8 phosphate buffer
    maintained at 37 C.
  • Dissolution tests were performed on six tablets
    and the amount of drug released was analyzed
    spectrophotometrically at a wavelength of 238 nm.
  • Dissolution samples were collected at the
    following times 0, 0.5, 1.0, 1.5, 2.0, 3.0, 4.0,
    6.0, 8.0, 10, 12 and 24 h.

5
Dissolution Testing
  • Cumulative buspirone hydrochloride release versus
    time profile for Slow and Fast extended
    release tablets using (a) pH 6.8, 50 rpm, (b) 0.1
    M HCl, 50 rpm, (c) pH 6.8, 100 rpm, (d) 0.1 M
    HCl, 100 rpm.

6
Dissolution Testing
  • Cumulative buspirone hydrochloride release versus
    square root of time profile for Slow and Fast
    extended release tablets using (a) pH 6.8, 50
    rpm, (b) 0.1 M HCl, 50 rpm, (c) pH 6.8, 100 rpm,
    (d) 0.1 M HCl, 100 rpm.

7
Dissolution Testing
  • It is observed that the high-molecular-weight
    (high viscosity) polymer has a slower dissolution
    rate than the dosage form with the
    lower-molecular-weight (lower viscosity) polymer
    in both pH media.
  • The release of buspirone hydrochloride from the
    slow and fast formulations were expected to be
    almost indistinguishable from each other when the
    dissolution is measured in 0.1 M HCl based on
    high solubility of drug in acidic media, but f2
    values were 42.2 and 47.7 at 50 and 100 rpm,
    respectively.
  • However, at pH 6.8, the differences between the
    formulations were more evident. Weakly basic
    buspirone hydrochloride has a lower solubility in
    pH 6.8 phosphate buffer than in 0.1 M HCl. The
    calculated similarity factors (f2) confirmed the
    conclusion

8
Dissolution Testing
9
Dissolution Testing
  • pH 6.8 phosphate buffer at both 50 and 100 rpm
    were found to be the more discriminating
    dissolution media in our study and 50 rpm in
    phosphate buffer was then used in the IVIVC model
    development.
  • Release profiles were compared using the
    similarity factor f2.
  • f2 is a logarithmic reciprocal square root
    transformation of the sum of squared error and is
    a measurement of the similarity in the percent of
    dissolution between the two curves.
  • The similarity factor is 100 when the test and
    reference profiles are identical and approaches
    zero as the dissimilarity increases.

10
Dissolution Testing
  • DTZ release from different formulations was also
    fitted to the Higuchi
  • Where Mt/M8 is the fraction of drug released at
    time t and k is the apparent release rate
    constant.

11
Bioavailability study
  • An open-label, fasting, single dose,
    three-treatment crossover study using normal
    healthy volunteers.
  • Eighteen male, non-smoking volunteers were
    enrolled in the study and received two extended
    release, once-per-day, formulations (slow and
    fast) of buspirone hydrochloride (30 mg) in a
    randomized fashion.
  • In addition to the extended release formulations,
    an immediate release (215 mg) of buspirone
    hydrochloride (BUSPAR) was also administered.

12
Bioavailability study
  • The order of treatment administration was
    randomized in three sequences (ABC, BCA, CAB) in
    blocks of three.
  • Blood samples were obtained at 22 time points
    from pre-dose (0 h) until 36 h post-dose. A
    washout period of 1 week was allowed between dose
    administrations.
  • Subjects fasted for 12 h prior to the morning
    drug administration when the extended and
    immediate release products were administered, and
    for 4 h prior to the evening drug administration
    of the immediate release product.

13
Bioavailability study
14
Bioavailability study
  • There are discernible differences in the plasma
    level concentrations between the three dosage
    forms (Slow, Fast and IR tablets).
  • It was also found that the rank order of release
    observed in the dissolution testing was also
    apparent in the plasma buspirone hydrochloride
    concentration profiles with a mean Cmax of 1.37
    and 1.76 ng/l for the slow and fast releasing
    formulations.
  • However, the same rank order was not observed in
    the AUC8

15
Bioavailability study
16
Bioavailability study
  • There is no significant or noticeable difference
    in the AUC from the slowest releasing dosage form
    compared to the fast releasing dosage form,
    showing that the extent of absorption of
    buspirone was the same despite the differences in
    release rates between the two dosage forms.
  • The AUC of buspirone was much higher from the
    extended release forms than from the IR tablets.

17
In vivo data analysis
  • The measured plasma concentrations were used to
    calculate the area under the plasma
    concentrationtime profile from time zero to the
    last concentration time point (AUC(0t)).
  • The AUC(0t) was determined by the trapezoidal
    method. AUC(08) was determined by the following
    equation
  • ke was estimated by fitting the logarithm of the
    concentrations versus time to a straight line
    over the observed exponential decline.

18
In vivo data analysis
  • The WagnerNelson method was used to calculate
    the percentage of the buspirone hydrochloride
    dose absorbed
  • where F(t) is the amount absorbed. The percent
    absorbed is determined by dividing the amount
    absorbed at any time by the plateau value,
    keAUC(08) and multiplying this ratio by 100

19
In-vitroin-vivo correlation
  • The data generated in the bioavailability study
    were used to develop the IVIVC.
  • The percent of drug dissolved was determined
    using the aforementioned dissolution testing
    method and the fraction of drug absorbed was
    determined using the method of WagnerNelson.

20
In-vitroin-vivo correlation
  • The dissolution rate constants were determined
    from released vs. the square root of time.
  • Linear regression analysis was applied to the
    in-vitroin-vivo correlation plots and
    coefficient of determination (r2), slope and
    intercept values were calculated.

21
In-vitroin-vivo correlation
  • Level A in-vitroin-vivo correlation was
    investigated using the percent dissolved vs. the
    percent absorbed data for both the slow and fast
    formulations, using both 0.1 M HCl and pH 6.8
    phosphate buffer dissolution media at both 50 and
    100 rpm.
  • A good linear regression relationship was
    observed between the dissolution testing using pH
    6.8 phosphate buffer at 50 rpm and the percents
    absorbed for the combined data of the two dosage
    forms
  • Another good linear regression relationship was
    observed between the dissolution testing using
    0.1 M HCl as the dissolution media at 50 rpm, and
    the percents absorbed for the combined data of
    the two dosage forms

22
In-vitroin-vivo correlation
23
In-vitroin-vivo correlation
  • It is also observed that the in-vivo absorption
    rate constant (ka) correlates well with the pH
    6.8 phosphate buffer in-vitro dissolution rate
    constant (kdiss), exhibiting a correlation
    coefficient of 0.9353.
  • This was a better correlation than was obtained
    using the dissolution rates in 0.1 M HCl, and
    therefore, pH 6.8 phosphate buffer was selected
    as the dissolution media of choice.

24
In-vitroin-vivo correlation
  • Plot of in vitro dissolution rate (kdiss) versus
    in vivo absorption rate (ka) constants (The
    zerozero point is theoretical).

25
Internal validation of the IVIVC
  • The internal predictability of the IVIVC was
    examined by using the mean in-vitro dissolution
    data and mean in-vivo pharmacokinetics of the
    extended matrix tablets.

26
Internal validation of the IVIVC
  • The prediction of the plasma buspirone
    hydrochloride concentration was accomplished
    using the following curve fitting equation
  • where, ypredicted plasma concentration (ng/ml)
    Const.the constant representing F/Vd, where F is
    the fraction absorbed, and Vd is the volume of
    distribution ka absorption rate constant ke
    overall elimination rate constant.
  • The de-convolution was accomplished on a
    spread-sheet in Excel.

27
Internal validation of the IVIVC
  • To further assess the predictability and the
    validity of the correlations, we determined the
    observed and IVIVC model-predicted Cmax and AUC
    values for each formulation. The percent
    prediction errors for Cmax and AUC were
    calculated as follows
  • where Cmax(obs) and Cmax(pred) are the observed
    and IVIVC model-predicted maximum plasma
    concentrations, respectively and AUC(obs) and
    AUC(pred) are the observed and IVIVC
    model-predicted AUC for the plasma concentration
    profiles, respectively.

28
Internal validation of the IVIVC
  • Observed and predicted buspirone hydrochloride
    plasma concentration for the (A) Fast and (B)
    Slow releasing formulation using the IVIVC
    model.

29
Internal validation of the IVIVC
30
External validation of the IVIVC
  • The external validation was accomplished by
    re-formulating the extended release dosage form
    to a release rate between the Fast and the
    Slow rates, selected to provide a Cmax of the
    re-formulated product equivalent to the Cmax
    obtained from the IR tablets, and to re-test the
    re-formulated product against the IR tablets in
    another bioequivalence test in human subjects.

31
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