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Dr. S. Shunmugapriya Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 2, ( Part -3) February 2015, pp.01-05
www.ijera.com 1 | P a g e
A Stochastic Model of Reliability for Bivariate Gamma
Distributions with the Levels and Circadian Rhythmicity of Acth
As A Function of Alcoholism Due To Human Stress
Dr. S. Shunmugapriya
Assistant Professor of Mathematics, Anjalai Ammal Mahalingam Engineering College, Kovilvenni-614403,
Thiruvarur District, Tamil Nadu, India.
Abstract
The theoretical study for the effect of stress on ACTH levels of individuals with a family history of alcoholism
may present a dysfunction in the activity of the HPA axis is investigated. The stress strength model describes the
life of a component which has a random strength Y and is subjected to a random stress X. R =Pr (X Y) is a
measure of the component reliability is used to find the levels of ACTH, Cortisol and -endorphin.
Keywords: ACTH, CORTISOL,  ENDORPHIN, GAMMA DISTRIBUTIONS
Mathematical subject classification: 60GXX, 62HXX, 62PXX.
I. INTRODUCTION
The theoretical study for the effect of stress on
HPAaxis dysfunction is associated with alterations in
the pattern of the circadian (24h) secretions of
Adrenocorticotropic hormone (ACTH) cortisol and
-endorphin. Men with High risk (HR) or without
Lowrisk (LR) family history of alcoholism are
participated in this study. Cherian’s Bivariate gamma
distributions, the stress strength model describe the
life of a component which has a random strength Y
and is subject to a random stress X. The component
fails at the instant that the component will function
satisfactorily whenever Y>X. )( YXPR r  is a
measure of the component reliability and it used to
observe the HR and LR participant of the plasma
ACTH, cortisol and -endorphin.
II. APPLICATION
Epidemiological studies clearly indicate the
genetic factors and family history play a significant
role in determining a person’s vulnerability for high
alcohol consumption and alcoholism. Twin studies,
adoption, and cross-fostering studies as well as
detailed pedigree analyses all suggest that alcoholism
“runs” in families and that there are multiple genes
which interact with environmental factors in a
complex manner to increase or decrease an
individual’s vulnerability to develop alcoholism.
Using families with either a strong positive or
negative history of alcoholism, investigations were
performed to determine whether certain genetically
transmitted traits or markers are highly associated
with the incidence of alcoholism. These markers
could be either behavioral, such as impulsive or
violent behavior, physiological, such as
electroencephalogram abnormalities and body sway,
or biochemical, such as enzymes, hormones,
neurotransmitters, and nueromodulators.
Stress is any perceived challenge, either physical
or psychological, real or imagined, that will disturb
an individual’s relatively steady internal
environment, known as homeostasis, which allows
optimal functioning of the organism.
One o the systems greatly affected by stress is
the hypothalamic-pituitary-adrenal (HPA) axis. The
HPA-axis response to stress is coordinated by
complex interactions of various neurotransmitter
systems designed to help an individual cope with a
perceived threat and then return the organism to
homeostasis. Although the mechanisms underlying
the relationship between stress and alcohol
consumption are not well understood, biological
systems affected by both alcohol and stress most
likely play an important role [2]. Both alcohol and
stress affect the HPA-axis and the -endorphin
system. The major hormones of the HPA-axis are
corticotrophin-releasing hormone (CRH), adrenal
corticotropic hormone (ACTH), and cortisol.
Proopiomelanocortin (POMC) is the common
precursor for ACTH and -endorphin [4].
Both stress and alcohol modulate the activity of
these neurotransmitter systems leading to increased
release of CRH and subsequently of -endorphin,
ACTH and Cortisol. Plasma ACTH,Cortisol and -
endorphin levels exhibit a circadian rhythm with low
hormone levels in the late evening, reaching their
minimum during the first several hours after sleep
and their maximum plasma hormone levels at about
0800 hours in the morning.
Nonalcoholic participant with a family history of
alcoholism [high risk (HR)] exhibited lower basal
RESEARCH ARTICLE OPEN ACCESS
Dr. S. Shunmugapriya Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 2, ( Part -3) February 2015, pp.01-05
www.ijera.com 2 | P a g e
plasma -endorphin and ACTH levels than
individuals without alcoholic relatives [low risk
(LR)] [5].
Figure 2.1,2.2 & 2.3 illustrates the 24 hrs. secretion profile of - endorphin, ACTH and Cortisol level of Low
Risk (LR) and High Risk (HR) participants.
III. MATHEMATICAL MODEL Bivariate gamma distribution arises tractable
“lifetime” model in many areas, including life testing
and telecommunications [1].
0
5
10
15
20
25
30
35
16 20 24 4 8 12 16
HR
LR
-Endorphin
(pg/ml)
Fig. 2.1
0
5
10
15
20
25
30
16 20 24 4 8 12 16
HR
LR
ACTH(pg/ml)
Fig. 2.2
0
2
4
6
8
10
12
14
16
16 20 24 4 8 12 16
HR
LR
Cortisol(pg/ml)
Fig. 2.3
Dr. S. Shunmugapriya Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 2, ( Part -3) February 2015, pp.01-05
www.ijera.com 3 | P a g e
)( YXPR r  is a measure of the component
reliability [6].
The calculation of R has been extensively
investigated when YX and are dependent random
variables.
),( YX has a bivariate gamma distribution with
joint probability density function (pdf) f and joint
survivor function F .
 
 

0
.),(
x
dydxyxfR
Calculation of R make use of a number of special
functions. They are the complementary incomplete
gamma function defined by




x
a
dtttxa ,)exp(),( 1
The confluent hypegeometric function )( 11F defined
by




0
,11
!)(
)(
);;(
k k
k
k
kb
xa
xbaF
The Guass hypergeometric function )( 12 F defined
by




0
,12
!)(
)()(
);;(
k k
k
kk
kc
xba
xbaF
The generalized hypergeometric function )( 22 F
defined by




0
,22
!)()(
)()(
);;(
k kk
k
kk
kdc
xba
xbaF
The kummer function defined by
,)(exp)1(
)(
1
),,(
0
11
dtzttt
a
xba aba


 


And the modified Bessel function of the first kind
defined by







0
,2
2
)1(!2
)(
k
mk
mk
m
mkk
z
zI
Where )1)....(1()(  keeee k denotes the
ascending factorial.
Cherian’s bivariate gamma distribution has the joint
pdf specified by [3]



),min(
0
111
)exp()()()exp()exp(),( 321
yx
dzzzzyzxyxKyxf 
(1)
byvenconstantgignormalizinthedenotesKwhere,0,00,y0,x 31   andfor
)()()(
1
321  
K
(2)
For this distribution , the form of R can be expressed as
  
  


0
),min(
0
11
)exp()()( 3
1
21
x
yx
dzdydxyxzzzyzxKR 
   
 


0 0
111
)exp()()exp()exp()( 231
x
x
dzdxdyyzyzzxzxK 
   
 



0 0
111
)exp()exp()exp()( 231
x
zx
dzdxdwwwzzxzxK 
 
 

0 0
2
11
),()exp()( 31
x
dzdxzxzxzxK 
 
 

0
1
0
2
111
),()1()exp( 3131
dtdxxtttxxK 
[8] (3)
Where the transformations are z)/x-(xtandz-yw  have been applied.
Application of Lemma : 0,and0  For
  
a
dxcxxax
0
11
),()( 
);,1;,(),(),()( 22
111
acFBcaBa  
 
shows that the inner integral in (3) can be calculated as
  
1
0
2
11
),()1( 31
dtxttt 
);;1;,(),(),()( 321221222213
1
2312
2
xFxBB 

 
(4)
and thus R can be defined as [7]
Dr. S. Shunmugapriya Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 2, ( Part -3) February 2015, pp.01-05
www.ijera.com 4 | P a g e
,),(
)()(
1
R 213
1
2
31
IB 





(5)
Where I denotes the integral

 

0
321221222
1
.);;1;,()exp(321
dxxFxxI 
(6)
This integral can be calculated by an application of Lemma For ,and0 wc  










0
1222
1
;,,)(),,,,()exp(


w
dbaFcdxwxcdbaFxx cc
to get
(7)
and hence it follows from (5) that the form of R for Cherian’s bivariate gamma distribution is given by
)1;1;,()()(1 221212321
1
2 

 FR
IV. RESULT
0
1
2
3
4
5
6
16 20 24 4 8 12 16
HR
LR
Time
Fig. 4.1
0
50
100
150
200
250
16 20 24 4 8 12 16
HR
LR
R
Time
Fig. 4.2
)1;1;,()( 221212321   FI
Dr. S. Shunmugapriya Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 2, ( Part -3) February 2015, pp.01-05
www.ijera.com 5 | P a g e
The 24 hrs. secretion profile of -endorphin ,
ACTH and Cortisol of LR and HR in the medical
data are to calculate
)1;1;,()()(1 221212321
1
2 

 FR
where 321  are the parameters is correlated with
the gamma distribution and it is developed in the
graph is fitted with real life data to obtain the level of
ACTH, Cortisol and -endorphin of LR and HR.
V. CONCLUSION
The HR and LR participants presented similar
Circadian 24 hrs. Secretion patterns for ACTH,
Cortisol & - endorphin. Due to this pattern,
compared to LR, HR participants presented lower
concentration of plasma ACTH and of - endorphin
but not of Cortisol. Using bivariate gamma
distribution relating the successive time intervals and
sample values of ACTH, -endorphin and Cortisol
are used to estimate R by the parameters. LR
participants presented lower concentrations of
Cortisol and ACTH but not -endorphin. The model
is developed to find out the levels and hormone
secretion and the results have been defined with a
mathematical model fitted with the medical report.
REFERENCE
[1] Becker P.J and Roux J.J.J, “A bivariate
extension of the gamma distribution”, South
African Statist. J.15, no. 1, 1-12, 1981.
[2] Bradbury M.J, Cascio C.S., Scribner K.A.
and Dallman MF, “Stress Induced
Adrenocorticotropin Secretion: diurnal
responses and decreases during Stress in the
evening are not dependent on
Corticosterone”, Endocrinology 128; 680-
688, 1991.
[3] Cherian K.C, “A bi-variate correlated
gamma-type distribution function”, J.Indian
Math. Soc.(N.S) 5, 133-144, 1941.
[4] Cloninger CR, Bohman M, Sigvardsson S,
Vol Knorring AL, “Psychopathalogy in
adopted-out children of alcoholics : the
Stockholm adoption study”, Galanger M (ed)
Recent developments in alcoholism.
Plenum, New York, NY, 37-51, 1985.
[5] Dai X, Thavundayil J, Gianoulaks C,
“Response of the hypothalamic-pituitary
adrenal axis to stress in the absence and
presence of ethanol in subjects at high and
low risk of alcoholism”, Neuro
psychopharmacology 27: 442-452, 2002a
[6] Hanagal D.D, “Testing reliability in a
bivariate exponential stress-strength
model”, J. Indian satist. Assoc.33, no. 1,91-
97, 1995.
[7] Jana P.K and Roy D, “Estimation of
reliability under stress-strength model in a
bivariate exponential set-up”, Culcutta
Statist. Assoc. Bul.44, no. 175-176, 175-
181, 1994.
[8] Prudnikov A.P, Brychkov Yu.A, and
Marichev O.I, “Integrals and Series” Vol 1,
Gordon & Beach Science Publishers, New
York, 1986.
0
20
40
60
80
100
120
140
16 20 24 4 8 12 16
HR
LR
R
Time
Fig. 4.3

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Bivariate Gamma Model of HPA Axis Hormone Levels

  • 1. Dr. S. Shunmugapriya Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 2, ( Part -3) February 2015, pp.01-05 www.ijera.com 1 | P a g e A Stochastic Model of Reliability for Bivariate Gamma Distributions with the Levels and Circadian Rhythmicity of Acth As A Function of Alcoholism Due To Human Stress Dr. S. Shunmugapriya Assistant Professor of Mathematics, Anjalai Ammal Mahalingam Engineering College, Kovilvenni-614403, Thiruvarur District, Tamil Nadu, India. Abstract The theoretical study for the effect of stress on ACTH levels of individuals with a family history of alcoholism may present a dysfunction in the activity of the HPA axis is investigated. The stress strength model describes the life of a component which has a random strength Y and is subjected to a random stress X. R =Pr (X Y) is a measure of the component reliability is used to find the levels of ACTH, Cortisol and -endorphin. Keywords: ACTH, CORTISOL,  ENDORPHIN, GAMMA DISTRIBUTIONS Mathematical subject classification: 60GXX, 62HXX, 62PXX. I. INTRODUCTION The theoretical study for the effect of stress on HPAaxis dysfunction is associated with alterations in the pattern of the circadian (24h) secretions of Adrenocorticotropic hormone (ACTH) cortisol and -endorphin. Men with High risk (HR) or without Lowrisk (LR) family history of alcoholism are participated in this study. Cherian’s Bivariate gamma distributions, the stress strength model describe the life of a component which has a random strength Y and is subject to a random stress X. The component fails at the instant that the component will function satisfactorily whenever Y>X. )( YXPR r  is a measure of the component reliability and it used to observe the HR and LR participant of the plasma ACTH, cortisol and -endorphin. II. APPLICATION Epidemiological studies clearly indicate the genetic factors and family history play a significant role in determining a person’s vulnerability for high alcohol consumption and alcoholism. Twin studies, adoption, and cross-fostering studies as well as detailed pedigree analyses all suggest that alcoholism “runs” in families and that there are multiple genes which interact with environmental factors in a complex manner to increase or decrease an individual’s vulnerability to develop alcoholism. Using families with either a strong positive or negative history of alcoholism, investigations were performed to determine whether certain genetically transmitted traits or markers are highly associated with the incidence of alcoholism. These markers could be either behavioral, such as impulsive or violent behavior, physiological, such as electroencephalogram abnormalities and body sway, or biochemical, such as enzymes, hormones, neurotransmitters, and nueromodulators. Stress is any perceived challenge, either physical or psychological, real or imagined, that will disturb an individual’s relatively steady internal environment, known as homeostasis, which allows optimal functioning of the organism. One o the systems greatly affected by stress is the hypothalamic-pituitary-adrenal (HPA) axis. The HPA-axis response to stress is coordinated by complex interactions of various neurotransmitter systems designed to help an individual cope with a perceived threat and then return the organism to homeostasis. Although the mechanisms underlying the relationship between stress and alcohol consumption are not well understood, biological systems affected by both alcohol and stress most likely play an important role [2]. Both alcohol and stress affect the HPA-axis and the -endorphin system. The major hormones of the HPA-axis are corticotrophin-releasing hormone (CRH), adrenal corticotropic hormone (ACTH), and cortisol. Proopiomelanocortin (POMC) is the common precursor for ACTH and -endorphin [4]. Both stress and alcohol modulate the activity of these neurotransmitter systems leading to increased release of CRH and subsequently of -endorphin, ACTH and Cortisol. Plasma ACTH,Cortisol and - endorphin levels exhibit a circadian rhythm with low hormone levels in the late evening, reaching their minimum during the first several hours after sleep and their maximum plasma hormone levels at about 0800 hours in the morning. Nonalcoholic participant with a family history of alcoholism [high risk (HR)] exhibited lower basal RESEARCH ARTICLE OPEN ACCESS
  • 2. Dr. S. Shunmugapriya Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 2, ( Part -3) February 2015, pp.01-05 www.ijera.com 2 | P a g e plasma -endorphin and ACTH levels than individuals without alcoholic relatives [low risk (LR)] [5]. Figure 2.1,2.2 & 2.3 illustrates the 24 hrs. secretion profile of - endorphin, ACTH and Cortisol level of Low Risk (LR) and High Risk (HR) participants. III. MATHEMATICAL MODEL Bivariate gamma distribution arises tractable “lifetime” model in many areas, including life testing and telecommunications [1]. 0 5 10 15 20 25 30 35 16 20 24 4 8 12 16 HR LR -Endorphin (pg/ml) Fig. 2.1 0 5 10 15 20 25 30 16 20 24 4 8 12 16 HR LR ACTH(pg/ml) Fig. 2.2 0 2 4 6 8 10 12 14 16 16 20 24 4 8 12 16 HR LR Cortisol(pg/ml) Fig. 2.3
  • 3. Dr. S. Shunmugapriya Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 2, ( Part -3) February 2015, pp.01-05 www.ijera.com 3 | P a g e )( YXPR r  is a measure of the component reliability [6]. The calculation of R has been extensively investigated when YX and are dependent random variables. ),( YX has a bivariate gamma distribution with joint probability density function (pdf) f and joint survivor function F .      0 .),( x dydxyxfR Calculation of R make use of a number of special functions. They are the complementary incomplete gamma function defined by     x a dtttxa ,)exp(),( 1 The confluent hypegeometric function )( 11F defined by     0 ,11 !)( )( );;( k k k k kb xa xbaF The Guass hypergeometric function )( 12 F defined by     0 ,12 !)( )()( );;( k k k kk kc xba xbaF The generalized hypergeometric function )( 22 F defined by     0 ,22 !)()( )()( );;( k kk k kk kdc xba xbaF The kummer function defined by ,)(exp)1( )( 1 ),,( 0 11 dtzttt a xba aba       And the modified Bessel function of the first kind defined by        0 ,2 2 )1(!2 )( k mk mk m mkk z zI Where )1)....(1()(  keeee k denotes the ascending factorial. Cherian’s bivariate gamma distribution has the joint pdf specified by [3]    ),min( 0 111 )exp()()()exp()exp(),( 321 yx dzzzzyzxyxKyxf  (1) byvenconstantgignormalizinthedenotesKwhere,0,00,y0,x 31   andfor )()()( 1 321   K (2) For this distribution , the form of R can be expressed as         0 ),min( 0 11 )exp()()( 3 1 21 x yx dzdydxyxzzzyzxKR          0 0 111 )exp()()exp()exp()( 231 x x dzdxdyyzyzzxzxK           0 0 111 )exp()exp()exp()( 231 x zx dzdxdwwwzzxzxK       0 0 2 11 ),()exp()( 31 x dzdxzxzxzxK       0 1 0 2 111 ),()1()exp( 3131 dtdxxtttxxK  [8] (3) Where the transformations are z)/x-(xtandz-yw  have been applied. Application of Lemma : 0,and0  For    a dxcxxax 0 11 ),()(  );,1;,(),(),()( 22 111 acFBcaBa     shows that the inner integral in (3) can be calculated as    1 0 2 11 ),()1( 31 dtxttt  );;1;,(),(),()( 321221222213 1 2312 2 xFxBB     (4) and thus R can be defined as [7]
  • 4. Dr. S. Shunmugapriya Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 2, ( Part -3) February 2015, pp.01-05 www.ijera.com 4 | P a g e ,),( )()( 1 R 213 1 2 31 IB       (5) Where I denotes the integral     0 321221222 1 .);;1;,()exp(321 dxxFxxI  (6) This integral can be calculated by an application of Lemma For ,and0 wc             0 1222 1 ;,,)(),,,,()exp(   w dbaFcdxwxcdbaFxx cc to get (7) and hence it follows from (5) that the form of R for Cherian’s bivariate gamma distribution is given by )1;1;,()()(1 221212321 1 2    FR IV. RESULT 0 1 2 3 4 5 6 16 20 24 4 8 12 16 HR LR Time Fig. 4.1 0 50 100 150 200 250 16 20 24 4 8 12 16 HR LR R Time Fig. 4.2 )1;1;,()( 221212321   FI
  • 5. Dr. S. Shunmugapriya Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 2, ( Part -3) February 2015, pp.01-05 www.ijera.com 5 | P a g e The 24 hrs. secretion profile of -endorphin , ACTH and Cortisol of LR and HR in the medical data are to calculate )1;1;,()()(1 221212321 1 2    FR where 321  are the parameters is correlated with the gamma distribution and it is developed in the graph is fitted with real life data to obtain the level of ACTH, Cortisol and -endorphin of LR and HR. V. CONCLUSION The HR and LR participants presented similar Circadian 24 hrs. Secretion patterns for ACTH, Cortisol & - endorphin. Due to this pattern, compared to LR, HR participants presented lower concentration of plasma ACTH and of - endorphin but not of Cortisol. Using bivariate gamma distribution relating the successive time intervals and sample values of ACTH, -endorphin and Cortisol are used to estimate R by the parameters. LR participants presented lower concentrations of Cortisol and ACTH but not -endorphin. The model is developed to find out the levels and hormone secretion and the results have been defined with a mathematical model fitted with the medical report. REFERENCE [1] Becker P.J and Roux J.J.J, “A bivariate extension of the gamma distribution”, South African Statist. J.15, no. 1, 1-12, 1981. [2] Bradbury M.J, Cascio C.S., Scribner K.A. and Dallman MF, “Stress Induced Adrenocorticotropin Secretion: diurnal responses and decreases during Stress in the evening are not dependent on Corticosterone”, Endocrinology 128; 680- 688, 1991. [3] Cherian K.C, “A bi-variate correlated gamma-type distribution function”, J.Indian Math. Soc.(N.S) 5, 133-144, 1941. [4] Cloninger CR, Bohman M, Sigvardsson S, Vol Knorring AL, “Psychopathalogy in adopted-out children of alcoholics : the Stockholm adoption study”, Galanger M (ed) Recent developments in alcoholism. Plenum, New York, NY, 37-51, 1985. [5] Dai X, Thavundayil J, Gianoulaks C, “Response of the hypothalamic-pituitary adrenal axis to stress in the absence and presence of ethanol in subjects at high and low risk of alcoholism”, Neuro psychopharmacology 27: 442-452, 2002a [6] Hanagal D.D, “Testing reliability in a bivariate exponential stress-strength model”, J. Indian satist. Assoc.33, no. 1,91- 97, 1995. [7] Jana P.K and Roy D, “Estimation of reliability under stress-strength model in a bivariate exponential set-up”, Culcutta Statist. Assoc. Bul.44, no. 175-176, 175- 181, 1994. [8] Prudnikov A.P, Brychkov Yu.A, and Marichev O.I, “Integrals and Series” Vol 1, Gordon & Beach Science Publishers, New York, 1986. 0 20 40 60 80 100 120 140 16 20 24 4 8 12 16 HR LR R Time Fig. 4.3