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S.Lakshmi, P.Gomathi Sundari / International Journal of Engineering Research and
                   Applications (IJERA)      ISSN: 2248-9622 www.ijera.com
                         Vol. 3, Issue 2, March -April 2013, pp.519-523
       A New Mathematical Model for GABA-aminotransferase in
                   human platelets by Vigabatrin
                           S.Lakshmi * and P.Gomathi Sundari **
   * Head and Associate Professor of Mathematics, K.N.Govt.Arts College for Women,Thanjavur -613007,
                                            TamilNadu, India.
              ** Assistant Professor of Mathematics, Rajah Serfoji Government College,
                                   Thanjavur-613005, TamilNadu, India.


Abstract                                               2.Mathematical Models
         To analyzing for some well-known                       The reliability modeling, some well-
generations of Weibull-related lifetime models         known interrelationships between the various
for quick information. A brief discussion on the       quantities such as pdf, cdf, failure rate function,
properties of this general class is also given. For    cumulative failure rate function, and reliability
example, the effect of the new antiepileptic drug,     function, for a continuous lifetime T, can be
Vigabatrin (γ-vinyl GABA), on the platelet             summarized as
enzyme, GABA-aminotransferase (GABA-T)                                       f (t )   f (t )
was investigated in volunteers and patients. The                h(t )              
prolonged effect of Vigabatrin on the platelet                            1  F (t ) R(t ) ……(1)
enzyme activity would fit in with the fact that                            t
restoration of enzyme activity is dependent on                  H (t )   h( x)dx      ……(2)
regeneration of new enzyme. If the enzyme                                  0
activity of platelets can be shown to reflect brain                          H (t )
GABA-T activity, assay of the easily obtainable
                                                                R(t )  e                    ……(3)
platelet enzyme may provide a convenient
approach to assessing the pharmacological              Note that all the cumulative failure rate functions
response in epileptic patients during treatment        must satisfy the following conditions:
with GABA-T inhibitor drugs such as                         i.        H(t) is nondecreasing for all t  0
Vigabatrin. The generations of Weibull                      ii.       H(t) = 0
distribution is utilized for fitting the                    iii.      lim 𝑡→∞ 𝐻 𝑡 = ∞
corresponding medical data, and the feedback is        Thus, knowing one of the three quantities, one can
compared with the medical report . The curves          easily obtain the other two. Here we shall see how
for Reliability rate function by using                 (3) facilitates the construct of Weibull-type lifetime
Exponentiated weibull and four parameters              distributions. The bathtub-shaped failure rate
Generalized Weibull Distribution in all the 3          function plays an important role in reliability
cases after 5 hours reaches the zero value in the      applications, such as human life, and electronic
time axis and which are perfectly fitted with the      devices.
medical curve. These results give good                           Many generalized Weibull models have
suggestions to the medical professionals.              been proposed in reliability literature through the
                                                       fundamental relationship between the reliability
Keywords: Failure rate function, Weibull               function R(t) , and its corresponding cumulative
distribution, Vigabatrin ,GABA, GABA-T.                failure rate function H(t). In this paper, we
AMS Classification: 60 Gxx, 62 Hxx, 62Pxx              summarize some commonly known models, and
                                                       also discuss their general properties with a hope to
1. NOTATION                                            provide practitioners a quick overview of the most
T        Lifetime random variable                      recent developments in reliability concerning the
f(t)     Probability density function (pdf) of T       Weibull distribution. Most generalizations of the
F(t)     Cumulative distribution function (cdf)        Weibull distribution stemmed from a desire to
h(t)     hazard rate function                          provide a better fitting of certain data sets than the
H(t)     Cumulative failure rate function              traditional two- or three- parameter Weibull. One
          t
                                                      would expect many more such generalizations,
 H (t )   h( x)dx                                  modifications, or extensions to appear in years to
          0                                          come. Given a data set, a researcher has an onerous
R(t)     Reliability function [= 1-F(t) ]              task to select an „optimal‟ model among many
                                                       possible Weibull related models.
                                                                 In general, there are three steps involving
                                                       the empirical modeling of data, including Weibull,



                                                                                             519 | P a g e
S.Lakshmi, P.Gomathi Sundari / International Journal of Engineering Research and
                  Applications (IJERA)      ISSN: 2248-9622 www.ijera.com
                        Vol. 3, Issue 2, March -April 2013, pp.519-523
                                                                                                         𝛼
such as model selection, estimation of model                                   𝑅 𝑡 = 1 − 𝑒𝑥𝑝 −
                                                                                                     𝑡
                                                                                                             ,            𝛼, 𝛽 >
parameters, and model validation. On parameter                                                       𝛽
estimation, the number of parameters could be                        0; 𝑡 ≥ 0
pivotal; and how easily the estimates of these                       Case (v):
parameters can be found is also an important factor.                          Generalized Weibull Distributions for
An overcomplicated Weibull model often                               Nikulin & Haghighi (2006) is
                                                                                                                    𝜃
diminishes the possibility of interpreting the                                                               𝑡 ∝
                                                                               𝑅 𝑡 = 𝑒𝑥𝑝 1 − 1 + 𝜆                      , 𝛼, 𝛽 >
parameters. Generally speaking, a Weibull model                                                              𝛽
that has more than three parameters is undesirable,                  0, 𝑡 ≥ 0, 𝜃 ≥ 0
with the exception of mixtures of two modified
Weibull distributions[1]. Thus mathematical                          3. Applications
operations on the failure rate can be obtained                                 Vigabatrin (γ-vinyl GABA) is a new
relatively easily, and therefore, numerical estimates                antiepileptic drug, recently demonstrated to have a
of parameters become less prohibitive.                               consistent anticonvulsant effect in double-blind
          The Weibull, and related models have                       placebo-controlled trials of patients with chronic
been used in many applications, and for solving a                    drug-resistant      epilepsy[5].   The      postulated
variety of problems from many disciplines.                           mechanism of action of Vigabatrin in epilepsy is
Although the Weibull distribution is primarily used                  believed to be irreversible or 'suicide' inhibition of
for modeling product failures in reliability                         the          cerebral        enzyme,          GABA-
engineering, it is also sometime used to model the                   aminotransferase(GABA-T), resulting in elevated
human aging process[2] .[3,4] have modeled                           brain     concentrations      of    the     inhibitory
human mortality using mixtures of two different                      neurotransmitter, γ-aminobutyric acid (GABA) [6].
modifiedWeibull distributions.We have various                        However, there does not appear to be a simple
mixtures of two modified Weibull distributions                       relationship between elevation of whole brain
could have a wide range of possible applications.                    GABA concentration and seizure protection in
Case (i):                                                            animals and it has been suggested that elevation of
          Reliability functions for Exponentiated                    the seizure threshold correlates more closely with
weibull is                                                           increases in nerve terminal rather than whole brain
                                                     𝜃
                                           𝑡 ∝                       GABA concentrations. The measurement of plasma
         𝑅 𝑡 = 1 − 1 − 𝑒𝑥𝑝 −                                 ,
                                           𝛽                         concentrations of Vigabatrin itself are unlikely to
𝛼, 𝛽 > 0, 𝑡 ≥ 0, 𝜃 ≥ 0                                               be helpful in the management of epileptic patients
Case (ii):                                                           who are being treated with this drug, because the
          Generalized Weibull Distributions for                      intensity of drug action will be influenced not only
Mudholkar, Srivastava & Kollia (1996) is                             by the dose schedule and the pharmacokinetic
                                                 1                   parameters of Vigabatrin, but also by the half-life
                                       𝑡 ∝               𝜆
         𝑅 𝑡 = 1− 1− 1− 𝜆                                        ,   of the target enzyme. Ideally one would like to be
                                       𝛽
                                                                     able to correlate the dose of Vigabatrin
𝛼, 𝛽 > 0, 𝑡 ≥ 0                                                      administered to patients with the pharmacodynamic
                                                                     effect of the drug on the neuro chemical changes in
Case (iii):                                                          the brain (extent of inactivation of GABA-T, and
          Generalized Weibull Distributions for                      the degree of elevation of brain GABA levels) and
Marshall Olkin (1997) is                                             the clinical response (seizure control).
                     𝑣𝑒𝑥𝑝 − 𝑡/𝛽 𝛼
         𝑅 𝑡 =                         , 𝛼, 𝛽, 𝑣 >                              If the enzyme activity of platelets can be
                  1− 1−𝑣 𝑒𝑥𝑝 − 𝑡/𝛽 𝛼
0; 𝑡 ≥ 0                                                             assumed to reflect brain GABA-T activity, assays
Case (iv):                                                           of the easily obtainable platelet enzyme may
         Generalized inverse Weibull Distributions                   provide a convenient approach to the measurement
for Jiang et al.(2001) is                                            of the pharmacological response to GABA-T
                                                                     inhibitors in the treatment of patients with epilepsy.




                                                                                                                 520 | P a g e
S.Lakshmi, P.Gomathi Sundari / International Journal of Engineering Research and
                 Applications (IJERA)      ISSN: 2248-9622 www.ijera.com
                       Vol. 3, Issue 2, March -April 2013, pp.519-523




Figure 1: Mean platelet GABA-aminotransferase activity in six subjects after single doses of Vigabatrin
(▲1 g, ○ 2 g, ■ 4 g) compared with control values (●). The platelet GABA-aminotransferase values following
administration of Vigabatrin were significantly different from controls with all three doses at 0.5, 1, 2, 3, 4, 6
(P < 0.01) and 8 h (P < 0.05). There were significant differences between the three doses at 1,2 and 3 h (P <
0.05) and the mean values obtained with the three doses lay in the expected order consistent with a dose-
response relationship.
         Figure 1 shows the mean levels of platelet GABA-T activity after the three different doses of
Vigabatrin compared with the values obtained during the control period. This prolonged effect on the platelet
enzyme would fit in with the fact that restoration of normal enzyme activity is dependent on regeneration of new
enzyme. Indeed, in the patient study a week after stopping Vigabatrin the platelet enzyme activity was not
significantly different from the control value.

                                             4. Mathematical Results
Case (i)
           control case                                        Experimental case
                      α= 34.113,β=2.204 ,θ=0.033                 α=19.6,β=3.129, θ=0.057
                   0.8                                                 0.8
                   0.6                                                 0.6
                                                                R(t)
            R(t)




                   0.4                                                 0.4
                   0.2                                                 0.2
                    0                                                   0
                         0           5            10                         0          5             10
                               Time(Hours)                                       Time(Hours)

                            Experimental case                                  Experimental case
                         α=16.759 , β=2.214, θ=0.068               α=22.197 , β=2.89, θ=0.06




                                                                                                   521 | P a g e
S.Lakshmi, P.Gomathi Sundari / International Journal of Engineering Research and
           Applications (IJERA)      ISSN: 2248-9622 www.ijera.com
                 Vol. 3, Issue 2, March -April 2013, pp.519-523
                 0.8                                                         1
                 0.6                                                       0.8
                                                                           0.6
          R(t)




                                                               R(t)
                 0.4
                                                                           0.4
                 0.2                                                       0.2
                     0                                                       0
                         0            5               10                          0            5          10

                              Time(Hours)                                                 Time(Hours)

                                                      Case (iii):
                        control case                                                Experimental case
                     α=16.759, β=2.214,λ=0.068                         α=34.113 , β=2.204,λ=0.033
             1.2                                                             1.2
               1                                                               1
             0.8                                                             0.8
             0.6                                                             0.6

                                                                    R(t)
   R(t)




             0.4                                                             0.4
             0.2                                                             0.2
               0                                                               0
            -0.2 0                5              10                         -0.2 0                 5           10
                             Time(Hours)                                                   Time(Hours)


                     Experimental case                                            Experimental case
                      α=34.113 , β=2.204,λ=0.033                           α=22.197 , β=2.89,λ=0.06
                                                                           1.2
                  1.2
                                                                              1
                    1
                  0.8                                                      0.8
                  0.6                                                      0.6
                                                               R(t)
          R(t)




                  0.4                                                      0.4
                  0.2                                                      0.2
                    0                                                         0
                 -0.2 0               5            10                      -0.2 0              5          10
                               Time(Hours)                                                Time(Hours)

                                                      Case (v) :
                       control case                                                Experimental case
                 α=19.6,β=3.129,λ=0.1,θ=0.057                         α=32.585,β=5.499,λ=0.1,θ=0.03
             0.8                                                              0.7
                                                                              0.6
             0.6                                                              0.5
                                                                              0.4
                                                                       R(t)
   R(t)




             0.4
                                                                              0.3
             0.2                                                              0.2
                                                                              0.1
                 0                                                              0
                     0            5              10                                   0            5           10
                             Time(Hours)                                                    Time(Hours)




                                                                                                          522 | P a g e
S.Lakshmi, P.Gomathi Sundari / International Journal of Engineering Research and
                   Applications (IJERA)      ISSN: 2248-9622 www.ijera.com
                         Vol. 3, Issue 2, March -April 2013, pp.519-523
                          Experimental case                                    Experimental case
                     α=16.759,β=2.214,λ=.1,θ=.068                 α=22.197,β=2.89,λ=0.1,θ=0.06
                    0.7                                            1
                    0.6
                                                                  0.8
                    0.5
                    0.4                                           0.6
             R(t)




                                                           R(t)
                    0.3                                           0.4
                    0.2
                                                                  0.2
                    0.1
                      0                                            0
                          0           5              10                 0            5              10
                                Time(Hours)                                    Time(Hours)


 In the case of          Exponentiated weibull the                 of       Theoretical        Biology,      2007,
 Reliability rate decreases from 1 to 0. After the                 10.1016/j.jtbi.2006.11.011, to appear in.
 time of 5 hours and the Reliability reaching the          [2] .   G. S. Mudholkar and D. K. Srivastava,
 saturation point zero. In the Generalized Weibull                 “Exponential Weibull family for analyzing
 Distributions for Marshall Olkin the Reliability rate             bathtub failure-rate data,” IEEE Trans.
 decreases suddenly and reaches the value zero                     Reliability, vol. 42, pp. 299–302, 1993.
 nearing to 5 hours . In the Four parameter Weibull        [3] .    E. I. Wondmagegnehu, J. Navarro, and P. J.
 Distributions for Nikulin & Haghighi shows that                   Hernandez, “Bathtub shaped failure rates from
 the Reliability rate after the time point of 5 hours              mixtures: A practical point of view,” IEEE
 reaches the zero level in the time axis .Similarly we             Trans. Reliability, vol. 54, pp. 270–275, June
 can find figures for the cases of Generalized                     2005.
 Weibull                Distributions               for    [4] .   S. Nadarajah, “On the moments of the
 Mudholkar,Srivastava&Kollia and Generalized                       modified Weibull distribution,” Reliability
 inverse Weibull Distributions for Jiang.                          Engineering and System Safety, vol. 90, pp.
                                                                   114–117, Oct. 2005.
 5. Conclusion                                             [5] .   Jj Loiseau, P., Hardenberg, J. P., Pestre, M.,
           Mean platelet GABA-aminotransferase                     Guyot, M., Schechter, P. L. & Tell, G. P.
 activity in six subjects after single doses of                    (1986). Doubleblind placebo-controlled study
 Vigabatrin (▲1 g, ○ 2 g, ■ 4 g) compared with                     of vigabatrin (-yvinyl GABA) in drug resistant
 control values (●). The platelet GABA-                            epilepsy. Epilepsia, 2, 115-120.
 aminotransferase values following administration          [6] .   Bohen, P., Huot, S. & Palfreyman, M. G.
 of Vigabatrin were significantly different from                   (1979). The relationship between GABA
 controls with all three doses at 0.5, 1, 2, 3, 4, 6 ,(P           concentrations in brain and cerebrospinal fluid.
 < 0.01) and 8 h (P < 0.05). There were significant                Brain Res., 167, 297-305.
 differences between the three doses at 1,2 and 3 h
 (P < 0.05) and the mean values obtained with the
 three doses lay in the expected order consistent
 with a dose-response relationship. These values are
 compared in the 5 cases of mathematical
 distribution and corresponding results have been
 obtained. The curves for Reliability rate function
 by using Exponentiated weibull and four
 parameters Generalized Weibull Distribution in all
 the 3 cases after 5 hours reaches the zero value in
 the time axis and which are perfectly fitted with the
 medical curve. These results give good suggestions
 to the medical professionals.

 REFERENCES
[1] . M. Bebbington, C. D. Lai, and R. Zitikis,
      “Modeling human mortality using mixtures of
      bathtub shaped failure distributions,” Journal




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Cg32519523

  • 1. S.Lakshmi, P.Gomathi Sundari / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 2, March -April 2013, pp.519-523 A New Mathematical Model for GABA-aminotransferase in human platelets by Vigabatrin S.Lakshmi * and P.Gomathi Sundari ** * Head and Associate Professor of Mathematics, K.N.Govt.Arts College for Women,Thanjavur -613007, TamilNadu, India. ** Assistant Professor of Mathematics, Rajah Serfoji Government College, Thanjavur-613005, TamilNadu, India. Abstract 2.Mathematical Models To analyzing for some well-known The reliability modeling, some well- generations of Weibull-related lifetime models known interrelationships between the various for quick information. A brief discussion on the quantities such as pdf, cdf, failure rate function, properties of this general class is also given. For cumulative failure rate function, and reliability example, the effect of the new antiepileptic drug, function, for a continuous lifetime T, can be Vigabatrin (γ-vinyl GABA), on the platelet summarized as enzyme, GABA-aminotransferase (GABA-T) f (t ) f (t ) was investigated in volunteers and patients. The h(t )   prolonged effect of Vigabatrin on the platelet 1  F (t ) R(t ) ……(1) enzyme activity would fit in with the fact that t restoration of enzyme activity is dependent on H (t )   h( x)dx ……(2) regeneration of new enzyme. If the enzyme 0 activity of platelets can be shown to reflect brain  H (t ) GABA-T activity, assay of the easily obtainable R(t )  e ……(3) platelet enzyme may provide a convenient approach to assessing the pharmacological Note that all the cumulative failure rate functions response in epileptic patients during treatment must satisfy the following conditions: with GABA-T inhibitor drugs such as i. H(t) is nondecreasing for all t  0 Vigabatrin. The generations of Weibull ii. H(t) = 0 distribution is utilized for fitting the iii. lim 𝑡→∞ 𝐻 𝑡 = ∞ corresponding medical data, and the feedback is Thus, knowing one of the three quantities, one can compared with the medical report . The curves easily obtain the other two. Here we shall see how for Reliability rate function by using (3) facilitates the construct of Weibull-type lifetime Exponentiated weibull and four parameters distributions. The bathtub-shaped failure rate Generalized Weibull Distribution in all the 3 function plays an important role in reliability cases after 5 hours reaches the zero value in the applications, such as human life, and electronic time axis and which are perfectly fitted with the devices. medical curve. These results give good Many generalized Weibull models have suggestions to the medical professionals. been proposed in reliability literature through the fundamental relationship between the reliability Keywords: Failure rate function, Weibull function R(t) , and its corresponding cumulative distribution, Vigabatrin ,GABA, GABA-T. failure rate function H(t). In this paper, we AMS Classification: 60 Gxx, 62 Hxx, 62Pxx summarize some commonly known models, and also discuss their general properties with a hope to 1. NOTATION provide practitioners a quick overview of the most T Lifetime random variable recent developments in reliability concerning the f(t) Probability density function (pdf) of T Weibull distribution. Most generalizations of the F(t) Cumulative distribution function (cdf) Weibull distribution stemmed from a desire to h(t) hazard rate function provide a better fitting of certain data sets than the H(t) Cumulative failure rate function traditional two- or three- parameter Weibull. One  t  would expect many more such generalizations,  H (t )   h( x)dx modifications, or extensions to appear in years to  0  come. Given a data set, a researcher has an onerous R(t) Reliability function [= 1-F(t) ] task to select an „optimal‟ model among many possible Weibull related models. In general, there are three steps involving the empirical modeling of data, including Weibull, 519 | P a g e
  • 2. S.Lakshmi, P.Gomathi Sundari / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 2, March -April 2013, pp.519-523 𝛼 such as model selection, estimation of model 𝑅 𝑡 = 1 − 𝑒𝑥𝑝 − 𝑡 , 𝛼, 𝛽 > parameters, and model validation. On parameter 𝛽 estimation, the number of parameters could be 0; 𝑡 ≥ 0 pivotal; and how easily the estimates of these Case (v): parameters can be found is also an important factor. Generalized Weibull Distributions for An overcomplicated Weibull model often Nikulin & Haghighi (2006) is 𝜃 diminishes the possibility of interpreting the 𝑡 ∝ 𝑅 𝑡 = 𝑒𝑥𝑝 1 − 1 + 𝜆 , 𝛼, 𝛽 > parameters. Generally speaking, a Weibull model 𝛽 that has more than three parameters is undesirable, 0, 𝑡 ≥ 0, 𝜃 ≥ 0 with the exception of mixtures of two modified Weibull distributions[1]. Thus mathematical 3. Applications operations on the failure rate can be obtained Vigabatrin (γ-vinyl GABA) is a new relatively easily, and therefore, numerical estimates antiepileptic drug, recently demonstrated to have a of parameters become less prohibitive. consistent anticonvulsant effect in double-blind The Weibull, and related models have placebo-controlled trials of patients with chronic been used in many applications, and for solving a drug-resistant epilepsy[5]. The postulated variety of problems from many disciplines. mechanism of action of Vigabatrin in epilepsy is Although the Weibull distribution is primarily used believed to be irreversible or 'suicide' inhibition of for modeling product failures in reliability the cerebral enzyme, GABA- engineering, it is also sometime used to model the aminotransferase(GABA-T), resulting in elevated human aging process[2] .[3,4] have modeled brain concentrations of the inhibitory human mortality using mixtures of two different neurotransmitter, γ-aminobutyric acid (GABA) [6]. modifiedWeibull distributions.We have various However, there does not appear to be a simple mixtures of two modified Weibull distributions relationship between elevation of whole brain could have a wide range of possible applications. GABA concentration and seizure protection in Case (i): animals and it has been suggested that elevation of Reliability functions for Exponentiated the seizure threshold correlates more closely with weibull is increases in nerve terminal rather than whole brain 𝜃 𝑡 ∝ GABA concentrations. The measurement of plasma 𝑅 𝑡 = 1 − 1 − 𝑒𝑥𝑝 − , 𝛽 concentrations of Vigabatrin itself are unlikely to 𝛼, 𝛽 > 0, 𝑡 ≥ 0, 𝜃 ≥ 0 be helpful in the management of epileptic patients Case (ii): who are being treated with this drug, because the Generalized Weibull Distributions for intensity of drug action will be influenced not only Mudholkar, Srivastava & Kollia (1996) is by the dose schedule and the pharmacokinetic 1 parameters of Vigabatrin, but also by the half-life 𝑡 ∝ 𝜆 𝑅 𝑡 = 1− 1− 1− 𝜆 , of the target enzyme. Ideally one would like to be 𝛽 able to correlate the dose of Vigabatrin 𝛼, 𝛽 > 0, 𝑡 ≥ 0 administered to patients with the pharmacodynamic effect of the drug on the neuro chemical changes in Case (iii): the brain (extent of inactivation of GABA-T, and Generalized Weibull Distributions for the degree of elevation of brain GABA levels) and Marshall Olkin (1997) is the clinical response (seizure control). 𝑣𝑒𝑥𝑝 − 𝑡/𝛽 𝛼 𝑅 𝑡 = , 𝛼, 𝛽, 𝑣 > If the enzyme activity of platelets can be 1− 1−𝑣 𝑒𝑥𝑝 − 𝑡/𝛽 𝛼 0; 𝑡 ≥ 0 assumed to reflect brain GABA-T activity, assays Case (iv): of the easily obtainable platelet enzyme may Generalized inverse Weibull Distributions provide a convenient approach to the measurement for Jiang et al.(2001) is of the pharmacological response to GABA-T inhibitors in the treatment of patients with epilepsy. 520 | P a g e
  • 3. S.Lakshmi, P.Gomathi Sundari / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 2, March -April 2013, pp.519-523 Figure 1: Mean platelet GABA-aminotransferase activity in six subjects after single doses of Vigabatrin (▲1 g, ○ 2 g, ■ 4 g) compared with control values (●). The platelet GABA-aminotransferase values following administration of Vigabatrin were significantly different from controls with all three doses at 0.5, 1, 2, 3, 4, 6 (P < 0.01) and 8 h (P < 0.05). There were significant differences between the three doses at 1,2 and 3 h (P < 0.05) and the mean values obtained with the three doses lay in the expected order consistent with a dose- response relationship. Figure 1 shows the mean levels of platelet GABA-T activity after the three different doses of Vigabatrin compared with the values obtained during the control period. This prolonged effect on the platelet enzyme would fit in with the fact that restoration of normal enzyme activity is dependent on regeneration of new enzyme. Indeed, in the patient study a week after stopping Vigabatrin the platelet enzyme activity was not significantly different from the control value. 4. Mathematical Results Case (i) control case Experimental case α= 34.113,β=2.204 ,θ=0.033 α=19.6,β=3.129, θ=0.057 0.8 0.8 0.6 0.6 R(t) R(t) 0.4 0.4 0.2 0.2 0 0 0 5 10 0 5 10 Time(Hours) Time(Hours) Experimental case Experimental case α=16.759 , β=2.214, θ=0.068 α=22.197 , β=2.89, θ=0.06 521 | P a g e
  • 4. S.Lakshmi, P.Gomathi Sundari / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 2, March -April 2013, pp.519-523 0.8 1 0.6 0.8 0.6 R(t) R(t) 0.4 0.4 0.2 0.2 0 0 0 5 10 0 5 10 Time(Hours) Time(Hours) Case (iii): control case Experimental case α=16.759, β=2.214,λ=0.068 α=34.113 , β=2.204,λ=0.033 1.2 1.2 1 1 0.8 0.8 0.6 0.6 R(t) R(t) 0.4 0.4 0.2 0.2 0 0 -0.2 0 5 10 -0.2 0 5 10 Time(Hours) Time(Hours) Experimental case Experimental case α=34.113 , β=2.204,λ=0.033 α=22.197 , β=2.89,λ=0.06 1.2 1.2 1 1 0.8 0.8 0.6 0.6 R(t) R(t) 0.4 0.4 0.2 0.2 0 0 -0.2 0 5 10 -0.2 0 5 10 Time(Hours) Time(Hours) Case (v) : control case Experimental case α=19.6,β=3.129,λ=0.1,θ=0.057 α=32.585,β=5.499,λ=0.1,θ=0.03 0.8 0.7 0.6 0.6 0.5 0.4 R(t) R(t) 0.4 0.3 0.2 0.2 0.1 0 0 0 5 10 0 5 10 Time(Hours) Time(Hours) 522 | P a g e
  • 5. S.Lakshmi, P.Gomathi Sundari / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 2, March -April 2013, pp.519-523 Experimental case Experimental case α=16.759,β=2.214,λ=.1,θ=.068 α=22.197,β=2.89,λ=0.1,θ=0.06 0.7 1 0.6 0.8 0.5 0.4 0.6 R(t) R(t) 0.3 0.4 0.2 0.2 0.1 0 0 0 5 10 0 5 10 Time(Hours) Time(Hours) In the case of Exponentiated weibull the of Theoretical Biology, 2007, Reliability rate decreases from 1 to 0. After the 10.1016/j.jtbi.2006.11.011, to appear in. time of 5 hours and the Reliability reaching the [2] . G. S. Mudholkar and D. K. Srivastava, saturation point zero. In the Generalized Weibull “Exponential Weibull family for analyzing Distributions for Marshall Olkin the Reliability rate bathtub failure-rate data,” IEEE Trans. decreases suddenly and reaches the value zero Reliability, vol. 42, pp. 299–302, 1993. nearing to 5 hours . In the Four parameter Weibull [3] . E. I. Wondmagegnehu, J. Navarro, and P. J. Distributions for Nikulin & Haghighi shows that Hernandez, “Bathtub shaped failure rates from the Reliability rate after the time point of 5 hours mixtures: A practical point of view,” IEEE reaches the zero level in the time axis .Similarly we Trans. Reliability, vol. 54, pp. 270–275, June can find figures for the cases of Generalized 2005. Weibull Distributions for [4] . S. Nadarajah, “On the moments of the Mudholkar,Srivastava&Kollia and Generalized modified Weibull distribution,” Reliability inverse Weibull Distributions for Jiang. Engineering and System Safety, vol. 90, pp. 114–117, Oct. 2005. 5. Conclusion [5] . Jj Loiseau, P., Hardenberg, J. P., Pestre, M., Mean platelet GABA-aminotransferase Guyot, M., Schechter, P. L. & Tell, G. P. activity in six subjects after single doses of (1986). Doubleblind placebo-controlled study Vigabatrin (▲1 g, ○ 2 g, ■ 4 g) compared with of vigabatrin (-yvinyl GABA) in drug resistant control values (●). The platelet GABA- epilepsy. Epilepsia, 2, 115-120. aminotransferase values following administration [6] . Bohen, P., Huot, S. & Palfreyman, M. G. of Vigabatrin were significantly different from (1979). The relationship between GABA controls with all three doses at 0.5, 1, 2, 3, 4, 6 ,(P concentrations in brain and cerebrospinal fluid. < 0.01) and 8 h (P < 0.05). There were significant Brain Res., 167, 297-305. differences between the three doses at 1,2 and 3 h (P < 0.05) and the mean values obtained with the three doses lay in the expected order consistent with a dose-response relationship. These values are compared in the 5 cases of mathematical distribution and corresponding results have been obtained. The curves for Reliability rate function by using Exponentiated weibull and four parameters Generalized Weibull Distribution in all the 3 cases after 5 hours reaches the zero value in the time axis and which are perfectly fitted with the medical curve. These results give good suggestions to the medical professionals. REFERENCES [1] . M. Bebbington, C. D. Lai, and R. Zitikis, “Modeling human mortality using mixtures of bathtub shaped failure distributions,” Journal 523 | P a g e