Vol. 282, Issue 3, R753-R764, March 2002
Unequal autonegative feedback by GH models the sexual
dimorphism in GH secretory dynamics
Leon S.
Farhy1,
Martin
Straume1,2,3,
Michael L.
Johnson1,2,4,
Boris
Kovatchev2,5, and
Johannes D.
Veldhuis1,2,3
1 Division of Endocrinology and Metabolism, Department of
Internal Medicine, 5 Departments of Psychiatric Medicine and
Health Evaluation Sciences, 4 Department of Pharmacology,
The University of Virginia Health System, 2 Center for
Biomathematical Technology, and 3 National Science
Foundation Center for Biological Timing, University of Virginia,
Charlottesville, Virginia 22908
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ABSTRACT |
Growth
hormone (GH) secretion, controlled principally by a GH-releasing
hormone (GHRH) and GH release-inhibiting hormone [somatostatin (SRIF)] displays vivid sexual dimorphism in many species. We
hypothesized that relatively small differences within a dynamic core GH
network driven by regulatory interactions among GH, GHRH, and SRIF
explain the gender contrast. To investigate this notion, we implemented a minimal biomathematical model based on two coupled oscillators: time-delayed reciprocal interactions between GH and GHRH, which endow
high-frequency (40-60 min) GH oscillations, and time-lagged bidirectional GH-SRIF interactions, which mediate low-frequency (occurring every 3.3 h) GH volleys. We show that this basic
formulation, sufficient to explain GH dynamics in the male rat [Farhy
LS, Straume M, Johnson ML, Kovatchev BP, and Veldhuis JD. Am
J Physiol Regulatory Integrative Comp Physiol 281: R38-R51,
2001], emulates the female pattern of GH release, if autofeedback of
GH on SRIF is relaxed. Relief of GH-stimulated SRIF release damps the
slower volleylike oscillator, allowing emergence of the underlying
high-frequency oscillations that are sustained by the GH-GHRH
interactions. Concurrently, increasing variability of basal
somatostatin outflow introduces quantifiable, sex-specific
disorderliness of the release process typical of female GH dynamics.
Accordingly, modulation of GH autofeedback on SRIF within the
interactive GH-GHRH-SRIF ensemble and heightened basal SRIF variability
are sufficient to transform the well-ordered, 3.3-h-interval,
multiphasic, volleylike male GH pattern into a femalelike profile with
irregular pulses of higher frequency.
somatostatin; growth hormone-releasing hormone; hypothalamus; mathematical model; male; female; gender; somatotropic axis
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INTRODUCTION |
PULSATILE SECRETION OF
GROWTH hormone (GH) by the anterior pituitary gland is governed
by several core neuromodulators, such as hypothalamic GH-releasing
hormone (GHRH) and the GH release-inhibiting peptide somatostatin
(SRIF) (16, 48, 56, 57, 60, 66). Both peptides are
carried from hypothalamic neurons via the hypophysial portal
circulation to somatotrope cells. GHRH stimulates the synthesis and release of GH, whereas SRIF antagonizes GH secretion. Circulating GH inhibits its own secretion via feed-forward (stimulation) on SRIF
and feedback (repression) on GHRH (7, 13, 20, 23, 26, 48, 55,
63). The foregoing basic linkages are sufficient to engender GH
pulsatility (16), but it is not known whether such simple
connections will reproduce the vividly sexually dimorphic patterns of
GH release (20, 22, 23, 47).
The adult male rat maintains 3.3-h-interval, multiphasic GH peaks
separated by undetectable GH concentrations (58). The female rat manifests more irregular pulses of higher frequency and
lower amplitude superimposed on an elevated baseline. Different patterns of GH output mediate some of the sexual dimorphism in body
growth and gene expression in the rodent (23).
Sex steroid depletion and add-back studies in the rat can induce
a full spectrum of male- and femalelike GH patterns (22, 42, 43). The regulatory basis for such neuroendocrine phenotypes is not known. As one approach to this issue, we have developed a simple
networklike model of male GH-GHRH-SRIF interactions (16).
Earlier biomathematical constructs of the GH axis model the typical
male pattern (5, 16, 65). For example, Brown et al.
(3) explored the kinetics of GHRH actions at the
pituitary level. Chen et al. (5) added network features
but at the expense of high parameter complexity. Wagner et al.
(65) assumed an autonomous GHRH pulse generator to impose
repeated pulses within a GH secretory volley. More recently, Farhy et
al. (16) used time-delayed feed-forward and
feedback connectivity among GH, GHRH, and SRIF to drive volleys of GH
secretion typical of the adult male rat. However, to our knowledge,
none of the foregoing constructs explains the female-specific GH
pattern of irregular, low-amplitude and high-frequency GH pulses, high
baseline serum GH concentrations, and reduced autonegative feedback by
GH (9, 23). The present work addresses the latter
mechanistic issue.
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METHODS |
Primary Sex Differences
There are vivid sex differences in GH secretion in the adult
rodent and human (4, 5, 10-12, 22, 23, 25, 26, 36, 38-40, 42, 43, 47, 50, 56). In the rat, the male GH profile consists of 3.3-h-interval multiphasic volleys (58),
whereas the female GH pattern has high-frequency (40-60 min)
oscillations of irregular amplitude imposed on a readily detectable
interpulse baseline. Clark et al. (10) further reported
occasional intervals of low-amplitude pulses interspersed with rapid
high-amplitude peaks in the female. Frequently sampled GH profiles also
show multiphasic volleys in the male rodent (4, 10-12, 22,
23, 36, 38-40, 42, 43, 47, 50). In both sexes, more rapid oscillations are variable in amplitude, duration, and frequency (23, 43, 47). Such within-volley variability in the male should be distinguished from the nearly 3.3-h period between-volley intervals. The present model envisions variability due to
minimal in vivo fluctuations in feedback and feed-forward within the network.
Core Two-Oscillator GH Network
Our primary GH network is based on five regulatory interactions
among GH, GHRH, and SRIF (16): 1) GHRH's drive
of pituitary GH release (23, 34, 38); 2)
competitive inhibition of GH release by SRIF (9, 34);
3) GH autofeedback by stimulating SRIF with a time delay
(6, 44, 51, 69); 4) SRIF's inhibition of GHRH
secretion (15, 23, 58); and 5) delayed GH
autonegative feedback on GHRH (8, 17, 23, 36-38, 50, 54, 62; Fig.
1). Interactions 3 and 5 give raise to two coupled oscillators (19):
1) the GH-GHRH oscillator and 2) the GH-SRIF
oscillator.

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Fig. 1.
Schema of connections within the growth hormone (GH) feedback
network (see Ref. 16 for details). Inhibitory interfaces
[including elimination (elim) processes] are denoted by lines ending
with solid circles, whereas stimulatory interactions are presented as
"T" endings. Interactions are numbered consecutively from
1 to 5, as described in the text (see Core
Two-Oscillator GH Network). Segments of the network identified by
dotted lines were assumed to be sexually dimorphic (see
Sex-Related Specificity of Parameter Set). Two
network-specific oscillators are highlighted. P, pituitary gland; GHRH,
GH-releasing hormone; SRIF, somatostatin.
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We postulate that the GH-GHRH oscillator drives high-frequency
(40-60 min) GH pulsatility in both sexes (see Primary
Sex Differences), whereas the GH-SRIF oscillator (because of
the longer delay in feedback) mediates recurrent low-frequency (3.3-h
interval) malelike volleys (16). The system mimics
observed patterns of GH release in the adult male rat, including GH
autonegative feedback and SRIF-induced rebound GH secretion
(16).
Connectivity is encapsulated in the following core equations, which
describe the rate of change of each hormone with respect to feedback
and feed-forward inputs
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(1)
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(2)
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(3)
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where GH, SRIF, and GHRH denote concentrations of the
corresponding peptide; the derivatives (GH', SRIF', and GHRH') are taken with respect to time t;
k1, k2, and
k3 are respective rate constants of elimination;
kr,1, kr,2, and
kr,3 are rate constants of release;
n1, n2,
n4, n5 and
t1, t2,
t4, t5 are Hill
coefficients and thresholds, respectively, for the corresponding
regulatory functions numbered in Fig. 1; T and D
are the time-delay constants for GH's feedback on GHRH and SRIF,
respectively; and t3 is the Michaelis-Menten
constant defining feedback sensitivity.
If baseline "tonic" SRIF availability to somatotrope cells is
viewed as Smin [replacing the positive
constants
kr,2Smin and
kr,2(1
Smin) by
Smin and kr,2,
respectively], then the rate of change of SRIF availability to
somatotrope cells (SRIF'), is
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(4)
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where the first term denotes SRIF's decay from the system,
Smin corresponds to baseline (GH-independent)
SRIF secretion, and the third term defines additional GH
feedback-dependent SRIF release. The following minimal system of
first-order nonlinear differential equations then reflects the GH
network
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(5)
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(6)
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(7)
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Sex-Related Specificity of Parameter Set
The original parameters in the core model equations emulate the
typical adult malelike pattern of GH release (see Ref. 16 for details). Here, we test the hypotheses that femalelike GH patterns reflect blunted SRIF stimulation by GH autofeedback and/or elevated amount and/or variability in SRIF release. Because there is no
evidence of sex-related differences in the elimination of SRIF
(k2) or D, these parameters
(Eq. 6) were not tested. However, selectively elevating
Smin (baseline effective SRIF availability) by
2.2-fold attenuated GHRH-induced GH release by 50-65% as inferred earlier experimentally in the female (4) without
increasing mean SRIF concentrations (23, 38).
Diminished feedback of GH on SRIF could be modeled by decreasing
the rate of SRIF release (kr,2)
and/or elevating t3 of feedback sensitivity. No
direct experimental data are available to distinguish between these
choices in the female [unlike measurements of SRIF responses to a GH
bolus in the male rat (6)]. Thus we tested the impact of
both a decrease in the constant kr,2
(e.g., 15-fold less SRIF release than in the male) and an increase in
t3 (e.g., 5-fold lesser sensitivity). These
changes would reduce the efficacy (maximum) and blunt the potency
(sensitivity) of GH's upregulation of SRIF release. Smaller changes
preserve some delayed-feedback action of GH on SRIF at very high (e.g.,
pharmacological) GH levels.
The other SRIF-related parameters, viz., the thresholds
t2 and t4, govern the
onset of SRIF's inhibition of pituitary GH and hypothalamic GHRH
secretion, respectively (Fig. 1). A physiological expectation is that
GH-induced SRIF release does not block GHRH-driven GH peaks in the
female. Altering (increasing) t2 and
t4 would meet this expectation but would
eliminate the known inhibitory effect of SRIF on pituitary GH release
in the female (9). Thus we have not presently explored the
effects of altering t2 or
t4. Data regarding possible gender differences
in t5 (GH autofeedback on GHRH) are incomplete
(8, 37, 52). Accordingly, we have tested the impact of
"escape" of GHRH from GH auto repression further (see
RESULTS).
In summary, the foregoing reference female model (see Table
1) corresponds to known experimental data
in the rat. This construct generates uniform low-amplitude (<70 ng/ml)
and high-frequency (~45 min) oscillations on an elevated baseline GH
concentration (~30 ng/ml) (see Basic Female Model Output
in METHODS).
GH Irregularity
Possible explanations for irregular GH release patterns in the
female rat (10, 22, 47) include at least the following: 1) variability in the feedback actions of GH on GHRH or SRIF
release; 2) variability in T, denoting the time
latency of GH's feedback on GHRH, or in D, signifying the
time latency for SRIF release induced by GH; and/or 3)
variability in the baseline SRIF secretion rate.
Although variability in the system feedback parameters
(modeling options 1 and 2 above) cannot be excluded, preliminary efforts to achieve
physiologically realistic GH variability by modeling options 1 and 2 above were unsuccessful (see
RESULTS). Moreover, direct hypophysial portal venous
blood-sampling protocols establish considerable variability [~30%
coefficient of variation (CV)] in baseline SRIF release over time in
individual ovariectomized ewes (J. D. Veldhuis, T. P. Fletcher, K. L. Gatford, A. R. Egan, and I. J. Clarke,
unpublished observations). The latter variability is essentially
random, based on approximate entropy (ApEn) estimates. Hence, we here
allow Smin to vary stochastically with a CV of 30%. For comparison, we explored the impact of the same stochastic input on Smin in the male reference model.
ApEn and Sample Entropy Approach
ApEn (45, 46) and sample entropy (SampEn)
(49) are scale- and model-independent statistics to
quantify relative orderliness (or process randomness) of time series
containing as few as 50-300 samples. For example, ApEn
discriminates GH orderliness in the rat in the following rank order
(from maximally to minimally irregular): intact female,
gonadotrophin-releasing hormone agonist (triptorelin)-treated female,
gonadectomized female, gonadectomized male, GHRH agonist-treated male,
and intact male (22). Thus we have applied ApEn and SampEn to quantitate relative orderliness of simulated male and female GH
patterns. To maintain constant sample series size, we compare equivalent-length male and female GH model-generated profiles; e.g.,
240 samples to mimic blood sampling every 5 min for a 20-h period. In
the simulations, "observed" profiles generated by the reference
male and female models are presented without further perturbation or after the addition of 20% Gaussian noise
to mimic combined random procedural and assay variability (5,
23, 25).
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RESULTS |
Basic Female Model Output and GH Irregularities
Simulated GH, SRIF, and GHRH concentration vs. time plots in the
reference female rat model (Eqs. 5-7) are presented in
Fig. 2A. There are uniform low-amplitude (<70
ng/ml) and high-frequency (~45 min) oscillations of GH superimposed
on an elevated baseline (~30 ng/ml).

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Fig. 2.
A: output for the reference female GH model.
B: impact of gradually increasing the threshold of GH's
inhibition of GHRH. C: effects of prolonging the latency of
GH's feedback on GHRH by 4-fold.
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Figure 2, B and C, illustrates the impact of
altered variability in the feedback actions of GH on GHRH and in the
delay constant D (see GH Irregularity in
METHODS). Only a large (7-fold) increase in the GH-on-GHRH
action threshold (t5) elevated GH levels, and blunted GH oscillations (Fig. 2B). Changing the delay
constant D also resulted in physiologically irrelevant model
output (Fig. 2C): GH peak amplitudes of 200 ng/ml required a
fourfold increase in D (D = 0.5 h),
resulting in lower baseline GH concentrations and prolonged interpeak
intervals (2 h). Therefore, we infer that variability in the feedback
actions of GH on GHRH or in the feedback-delay constants (see
modeling options 1 and 2 in GH
Irregularity in METHODS) does not readily account for
the female rat GH pattern (10).
Figure 3 shows the influence of baseline
SRIF variability (0.1, 0.3, and 0.5 SD) on GH profiles simulated in the
female reference model. No other sources of stochastic variation are
included in these plots. Variability in
SRIF release about an unchanging mean induced visually evident and
stochastically quantifiable irregularity in the female but not the male
model (below). Further analyses used a baseline variability of 0.3 SD
to emulate data reported in the ewe (J. D. Veldhuis, T. P. Fletcher, K. L. Gatford, A. R. Egan, and I. J. Clarke,
unpublished observations).

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Fig. 3.
Reference female GH model responses to 3 levels of
stochastic variability of the SRIF baseline (top: 0.1 SD;
middle: 0.3 SD; bottom: 0.5 SD) imposed between
1100 and 3200.
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In the present model, oscillations in GH and GHRH release in the female
evolve as follows. GHRH released into portal blood drives secretion of
GH as the GHRH level approaches its action threshold
(t1). The rise in GH concentrations suppresses
GHRH release ~7 min (the time delay T) after GH reaches
its feedback threshold t5. The GHRH
concentration then begins to decline because of elimination. Increased
GH output continues until GHRH concentrations fall below the
stimulatory threshold. Withdrawal of GHRH input allows GH
concentrations to decay because of waning secretion and continuing
elimination. Diminished GH levels permit a time-delayed resumption of
GHRH release. This reciprocal interaction between GHRH and GH produces
recurrent peaks in the femalelike secretory profile, as long as
excessive somatostatin inhibition is not present (male pattern).
Unequal GH pulse amplitudes and interpulse intervals reflect
modulation of GHRH action by the variable SRIF baseline (above).
Notably, the same perturbation in SRIF baseline applied to the male
fails to induce irregularity (Fig. 4).

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Fig. 4.
Contrasting effect of a variable SRIF baseline (time line:
1100-3200; 0.3 SD) on male (top) and female
(bottom) GH model profiles. Procedural uncertainty (20%
Gaussian noise) was imposed on the model output.
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The latter plots illustrate the further effects of additive Gaussian
noise (0.2 SD) on the GH concentrations, whereby we simulate experimental uncertainties.
Model Reactivity to Defined Interventions
Simulated responses to continuous human GH infusions.
To mimic the laboratory experiments of Clark et al. (11),
we simulated continuous 6-h infusion of human GH in both the male- and
femalelike constructs. To this end, we added constant "secretion" of GH in Eqs. 6 and 7. The analysis was repeated
by imposing a second infusion threefold greater than the first.
Variable SRIF baseline release (0.3 SD) was initiated at 1100, 3 h
after the simulated GH infusion was begun (8000) (Fig.
5).

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Fig. 5.
Comparison between female (left) and
male (right) GH model responses to dose-varying continuous
infusions of human GH (time line: 8000-1400). SRIF baseline
variability (0.3 SD) was initiated at 1100 (see METHODS).
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Simulated femalelike (Fig. 5, left) and malelike (Fig. 5,
right) GH profiles agree well with published experiments
(11), including human GH dose-related inhibition of
endogenous GH release. In the female model, suppression of GH release
is explained by the negative feedback of GH on GHRH secretion. In the
male, GH's stimulation of SRIF release provides additional restraint
of GH output.
Predicted GH secretory-pattern responses to multiple GHRH
injections.
We tested the response of both the male- and femalelike model to series
of 12 simulated injections of GHRH every 45 min to mimic the
experimental protocol of Carlsson et al. (4). Simulated infusion of human GH for 6 h was added after the third GHRH pulse (Fig. 6).

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Fig. 6.
Left: male and female GH model responses to a
simulated series of 12 consecutive GHRH injections (arrows) at 45-min
intervals starting at 1000 (x-axis). Right: added
infusion of exogenous GH for 6 h (solid bars) beginning at 1130. Data are presented otherwise as described in the legend of Fig. 5.
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The malelike model predicted marked feedback suppression by the GH
infusion, as inferred earlier due to GH-induced SRIF outflow during
trough periods (see Ref. 16 for details) (Fig. 6,
top left). The extended suppression of GH release during the
6-h exogenous GH infusion in the male (Fig. 6, top right) is
explained analogously. In contrast, the femalelike model (Fig. 6,
bottom) predicted continuing GH-secretory responsiveness to
repeated injections of GHRH (Fig. 6, bottom
left). Moreover, exogenous GH infusion did not
suppress endogenous GH pulses because of the gender-specific relaxation of GH's feedback stimulation of SRIF release (Fig. 6, bottom
right). The nonuniform amplitude of GH peaks in femalelike
profiles (Fig. 6, bottom) mirrors variable baseline SRIF
secretion (see METHODS).
Infusion of GHRH antibodies.
The model-predicted effect of antiserum to GHRH is illustrated in Fig.
7, wherein we increased the elimination
rate of GHRH by 100-fold starting at 1600. Simulated GH profiles agree
well with experimental data showing suppression of GH release after the
administration of GHRH antibodies in both sexes (39, 66).

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Fig. 7.
Model predictions of malelike (left) and
femalelike (right) responses to GHRH antiserum (solid bars)
introduced at 1600. Data are presented otherwise as described in the
legend of Fig. 5.
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Intermittent SRIF infusion.
Intermittent SRIF delivery comprised a 9-h simulated SRIF infusion,
which was interrupted for 0.5 h every 3 h (Fig.
8). This analysis assumed that peripheral
infusion of SRIF does not directly alter hypothalamic GHRH or SRIF
release (16). Analyses were performed without (Fig. 8,
left) or with (Fig. 8, right) simulated continuous infusions of human GH during the third SRIF infusion period
(see Simulated responses to continuous human GH infusions). Baseline SRIF variability was not imposed here. Corollary experiments (not shown) demonstrated that stochastic variability in
Smin did not affect output of the malelike model
(because GH-driven SRIF secretion dominates the SRIF baseline
variability), whereas the female model displayed large deviations in
rebound amplitudes. Simulated GH responses in both sexes agree well
with the data reported by Clark et al. (9),
wherein concurrent GH infusion abolishes post-SRIF GH rebound in the
male but not in the female. The ability of exogenous GH to suppress
rebound GH release depends on GH's inhibition of GHRH and stimulation
of SRIF release, but the latter action is diminutive in the female (see
METHODS).

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Fig. 8.
Left: simulation of rebound GH secretion
in male (top) and female (bottom) rats induced by
intermittent SRIF infusion (solid bars). Right: modeled
effect of human GH infusion (hatched bars) on the rebound GH secretion
induced by the third SRIF infusion (solid bars) in males (top
right) and females (bottom right) (See
METHODS for details).
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ApEn and SampEn Analysis
The orderliness of GH time series was quantitated by ApEn and
SampEn analyses. Simulated data sets in the male and female comprised
240 data points (with 20% Gaussian noise added), which mimics sampling
every 5 min for 20 h. Series were also subjected to first
differencing (239 observations) to describe the rate of change of (and
detrend) the profiles. Each simulation was repeated 200 times. The
resultant mean ApEn and SampEn values are shown in Table
2.
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Table 2.
Mean ApEn and SampEn values derived from 200 realizations of GH outputs
of both the male- and femalelike models
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Approximate entropy was quantitated for data pairs
(I1) and triples (I2)
(i.e., parametric choices m = 1 and m = 2) at a
normalized tolerance of r = 0.2SD, where SD is the
standard deviation of the particular data set (for details see Refs.
45, 46, and 49). Higher ApEn or SampEn
denotes greater disorderliness of time series, as evident in the female
compared with the male (Table 2). As summarized in the
APPENDIX, an analogous procedure was used to calculate the
normalized ApEn and SampEn ratios for a transitional sequence of
noise-free malelike to femalelike models.
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DISCUSSION |
The present work illustrates that a simple mechanism of
sex-specific regulation of SRIF release could account for female- vs.
malelike GH secretory patterns in the adult rat (14, 16, 20, 23,
26, 33, 34, 38, 50, 56-59, 65). This inference arises from
a core network of GHRH's feed-forward drive of pituitary GH
release, SRIF's competitive inhibition of GH release, GH's stimulation of SRIF after a time delay, SRIF-dependent inhibition of
GHRH secretion, and GH's autonegative feedback on GHRH
(16). The foregoing minimal connections generate two
coupled oscillators, whose output emulates GH patterns in the adult
male rat (see the introduction). We extend this formulation first by
demonstrating that relaxation of GH autofeedback drive of SRIF outflow
induces a femalelike pattern of GH release. The notion of limited GH
feedback on SRIF is well documented in this species (11, 12, 23, 26, 36, 38). Reduced autofeedback drive of SRIF outflow induced
high-frequency GH oscillations. Mechanistically, recurrent GH pulses
are mediated by putative GH-GHRH interactions, whereas loss of
3.3-h-interval volleylike GH release is mediated by the decrease in
GH-SRIF connectivity inferred in the female (see METHODS and Fig. 1) (16). Second, we could show that elevating
mean baseline SRIF activity in the femalelike model diminishes GH pulse amplitude. Heightened tonic (noncyclic) activity of SRIF is consistent with the results of SRIF-neutralization experiments in the adult female
rat and with the ability of estrogen to upregulate pituitary SRIF
receptors (31, 64, 68). And, third, we observed that adding variability about mean SRIF release evokes pulse-amplitude irregularity. Variability in central SRIF release is readily apparent in ewes sampled at 5-min intervals for several hours (J. D. Veldhuis, T. P. Fletcher, K. L. Gatford, A. R. Egan, and
I. J. Clarke, unpublished observations). Thus all three of reduced
GH drive of SRIF outflow, increased SRIF activity and accumulated
variability in mean (baseline) SRIF release in the present femalelike
model of GH neuroregulation are concordant with physiological data.
Several pivotal experiments have examined mechanistic differences in
the neuroregulation of GH patterns in the adult male and female rat in
vivo. For example, exogenous GH infusions of sufficiently high dose
suppress endogenous GH secretion in both genders (11, 33)
but more readily in the adult male than female animal (Fig. 5). In
addition, repeated GHRH injections evoke continued GH responses in the
female but not in the male rat. Similarly, low-dose infusions of human
GH extend GH suppression despite exogenous GHRH stimulation in the male
but not the female rat (4). Because GHRH-stimulated GH
secretion is abolished in the female by SRIF infusion (4),
Clark et al. (11, 12) and Robinson (50) inferred that the female rat is relatively insensitive to GH-induced hypothalamic SRIF release (albeit responsive to SRIF when available) compared with the male. The ability of a high dose of exogenous GH to inhibit endogenous GH output in the female of this species is
explained by GH-induced repression of GHRH release (8, 20, 36,
37, 39, 50, 53, 62, 66). The present biomathematical model
illustrates the foregoing concept, wherein a reduction of GH's
stimulation of SRIF, but not of GH's inhibition of GHRH release, reproduces the femalelike GH secretory pattern and preserves
sensitivity to somatostatin.
A higher frequency, and also higher mean amplitude, of GH peaks in the
female model was achieved solely by attenuating GH's drive of SRIF
release. Elevating average basal SRIF release was required to limit GH
pulse height. Effectual SRIF action in the female has been inferred
experimentally by SRIF-immunoneutralization experiments
(41), the evident suppressibility of GH secretion by
exogenous SRIF (4), and estradiol's upregulation of SRIF receptor expression in somatotrope cells and immortalized tumoral cell
lines (31, 64, 68). Direct measurements of
hypothalamo-pituitary portal venous SRIF release under identical
sampling and assay conditions in the female and male will be required
to document and distinguish between heightened release and/or action of
SRIF in the female rodent.
Exogenous GHRH injection evokes GH release in both sexes (4,
39). In addition, abrupt cessation of SRIF inhibition elicits rebound GH release in both genders (9). The ability of
adult female rats to engender occasional high-amplitude GH peaks
spontaneously (10) further documents pituitary
responsiveness to GHRH. However, other studies allow for reduced GHRH
production and/or action in the estrogen-enriched milieu of the rat
(20, 23, 26, 37, 38). Although strictly comparable data
are not available in humans, recent analyses of the dose-dependent
actions of randomly ordered single injections of recombinant human
GHRH-(1-44)-amide in postmenopausal women show enhanced GHRH
potency (but not efficacy) in response to short-term estrogen repletion
(2). In addition, altered actions of GHRH in the female
could be mediated by reciprocal changes in basal SRIF outflow. The
latter mechanism might also contribute to species differences. For
example, where GH and GHRH peak amplitudes are smaller in the female
than male rat (Fig. 9, panels
1 and 6), GH pulse heights are larger in premenopausal women than comparably aged men (62). Further studies will
be required to asses whether reduced GHRH drive or heightened basal SRIF release maintains low-amplitude GH pulsatility in the female.

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Fig. 9.
Sensitivity analysis illustrated for 1 of the 200 realizations each of malelike (panel 1, top left)
to femalelike (panel 6, bottom right) parameter
transitions (see Table 3). Parameter evolution consisted of gradually
relaxing the feedback of GH on SRIF and elevating baseline SRIF release
with constant variability. The arrows (before 1100) track the emergence
of a single GHRH (light line)-GH (dark line) spike within the initially
malelike intervolley region with femalelike parameter evolution. Data
are presented otherwise as described in the legend of Fig. 5. Objective
quantitation of regularity changes was performed via approximate
entropy and sample entropy analyses on each of 200 simulations carried
out for each parameter set shown (see Table 4).
|
|
Random variability in (constant mean) baseline SRIF release triggered
marked pulse-to-pulse amplitude variability in the femalelike (but not
malelike) feedback model (Fig. 4). Irregular SRIF signaling could
reflect nonuniform secretion and/or delivery of SRIF to somatotropes as
well as inconsistent pituitary responsiveness (28, 29).
The degree of stochastic variation in basal SRIF outflow postulated
here (i.e., a 30% CV) is observed in hypophysial portal blood in the
ewe (Ref. 21; J. D. Veldhuis, T. P. Fletcher, K. L. Gatford, A. R. Egan, and I. J. Clarke, unpublished
observations). However, further studies will be required to monitor
SRIF oscillations in the female of various species and in potential
pathophysiology (23).
Extensive experimental data (23) document that the
GH-GHRH-SRIF network is subject to multiple internal and external
influences [e.g., insulin-like growth factor (IGF)-I, IGF-II,
metabolic factors (e.g., glucose, free fatty acids, acidosis),
glucocorticoids, gonadal sex hormones, thyroid hormones,
catecholamines, and gastrointestinal and neuropeptides]. We did not
include these factors in the present minimal model, because none (with
the exception of ghrelin, IGF-I, and IGF-II) has been proven to
participate in the GH network in a reciprocal feedback fashion. Further
model extension may allow more complex input by such extrinsic
regulators. For example, it will be important to obtain detailed data
on feedback time dependencies of the actions of IGF-I and IGF-II
(23). One could speculate that a prolonged delay in IGF-I
feedback on GH release might contribute to the daily rhythmicity of GH
release in the female rat, as observed in some studies
(10). Thus additional experimental interventions will be
important to distinguish both rapid and delayed regulation by other
negative and positive inputs to the core GH-GHRH-SRIF system.
Perspectives
Dynamic output of the GHRH-SRIF-GH network presumptively reflects
unique nonlinear dose-responsive relationships that link the primary
system components. More formal feedback and feed-forward models
corroborate this intuition (28-30, 47). According to
the present male-female comparisons coupled oscillators within a
complex network endow greater orderliness, e.g., for male GH profiles. Thus the malelike GH axis is dominated by delayed feedback of GH on
SRIF (which oscillator entrains regular 3.3-h-interval volleys of GH
release) and concomitant feedback of GH on GHRH (which inferred oscillator drives rapid GH pulses within volleys). Superimposing variability on an unchanging mean SRIF baseline in this stable feedback
construct fails to disrupt the primary rhythmicity conferred by
reciprocal GH-SRIF interactions. However, blunting of GH autofeedback on SRIF in the femalelike model unleashes the more rapid GH oscillator system mediated by recurrent GH-GHRH interactions. In this context (but
not in the male model), adding minimal stochastic variability to basal
SRIF release created marked irregularity of GH release. Stochastic
properties in basal GH secretion could emerge from the topographic and
functional dispersion of SRIF-secreting neurons in hypothalamic
periventricular nuclei. In addition, nonuniform access of SRIF to
and/or variable responsiveness among somatotrope cells could mimic
irregular SRIF release per se. Whether sex steroids affect one or more
of the foregoing processes is not known. However, this consideration is
plausible based on analyses of other neuronal systems, such as oxytocin
and gondotrophin-releasing hormone neurons (30, 32, 35).
Accordingly, the present network-based formalism points to selected new
experiments, which may aid in clarifying the mechanistic basis of the
sex difference in GH neuroregulation.
 |
APPENDIX |
Parameter Sensitivity in the Male- and Femalelike Models
The male and female models differ by way of three coefficients:
Smin, t3, and
kr,2. Accordingly, we have examined
the spectrum of simulated GH patterns across the foregoing
three-dimensional parameter space (Fig. 9).
The particular parameter grid for each of the six experiments is shown
in Table 3.
Of interest is the gradual transformation of the male-like
3.3-h-interval volley pattern into a femalelike low-amplitude output dominated by high-frequency GH-GHRH oscillations. Irregularity of
amplitude modulation is induced by imposing variability on the SRIF
baseline (after 1100). In the male-predominant model (Fig. 9,
panels 1 and 2), intervolley GHRH release and
diminutive GHRH-driven GH pulses are suppressed by strong GH
autofeedback-dependent time-delayed SRIF release. The femalelike
pattern unfolds progressively in response to selective muting of GH
feedback on SRIF. The arrows in Fig. 9 mark emergence in the femalelike
parameter space of a single increasingly prominent GHRH pulse and
corresponding GHRH-stimulated GH pulse that is undetectable in the
male-predominant parameter space (albeit inferable from an initially
diminutive rise in GHRH concentrations). To quantitate changing GH
time-series regularity, we calculated normalized ApEn and SampEn ratios
for 200 realizations of the 20-h period after 1100 (see ApEn and
Sample Entropy Approach) in each of the six transitional models.
Mean values are given in Table 4.
View this table:
[in this window]
[in a new window]
|
Table 4.
Mean ApEn and SampEn ratios derived from 200 realizations of 6 transitional models (see Table 3 for the particular parameter choice)
ranging from malelike (experiment 1) to femalelike (experiment 6)
|
|
 |
ACKNOWLEDGEMENTS |
L. Farhy acknowledges the support of National Institutes of Health
(NIH) Grant K25 HD-01474. L. Farhy and J. D. Veldhuis acknowledge the support of NIH Grant RO1 AG-14799-02, AG-19695-01, and AG-189697. J. D. Veldhuis and M. L. Johnson acknowledge the support of
the National Science Foundation (NSF) Science and Technology Center for
Biological Timing at the University of Virginia (NSF DIR-8920162) and
the General Clinical Research Center at the University of Virginia (NIH
RR-00847). M. Straume acknowledges the support of the NSF Center for
Biological Timing (NSF-DIR-8920162). M. L. Johnson also
acknowledges the support of the University of Maryland at Baltimore
Center for Fluorescence Spectroscopy (NIH RR-08119). B. Kovatchev
acknowledges the support of NIH Grant RO1 DK-51562.
 |
FOOTNOTES |
Address for reprint requests and other correspondence: L. S. Farhi, Box 800746, The Univ. of Virginia Health System,
Charlottesville, VA 22908 (E-mail: leon{at}virginia.edu).
The costs of publication of this
article were defrayed in part by the
payment of page charges. The article
must therefore be hereby marked
"advertisement"
in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
10.1152/ajpregu.00407.2001
Received 16 July 2001; accepted in final form 31 October 2001.
 |
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