The Journal of Clinical Endocrinology & Metabolism Vol. 84, No. 3 1083-1090
Copyright © 1999 by The Endocrine Society
From the Clinical Research Centers |
Mechanisms Subserving the Physiological Nocturnal Relative Hypoprolactinemia of Healthy Older Men: Dual Decline in Prolactin Secretory Burst Mass and Basal Release with Preservation of Pulse Duration, Frequency, and Interpulse Interval1A General Clinical Research Center Study
A. Iranmanesh,
T. Mulligan and
J. D. Veldhuis
Endocrine Section, Medical Service, Salem Veterans Affairs Medical
Center (A.I.), Salem, Virginia 24153; Geriatrics Medicine, Hunter
Holmes McGuire Veterans Affairs Medical Center (T.M.), Richmond,
Virginia 23249; and the Division of Endocrinology, Department of
Internal Medicine, National Science Foundation Center for Biological
Timing, University of Virginia Health Sciences Center (J.D.V.),
Charlottesville, Virginia 22908
Address all correspondence and requests for reprints to: Dr. Johannes D. Veldhuis, Division of Endocrinology, Department of Internal Medicine, Box 202, University of Virginia Health Sciences Center, Charlottesville, Virginia 22908. E-mail: jdv{at}virginia.edu
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Abstract
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Increasing age is accompanied by decrements in randomly obtained,
fasting, or frequently sampled serum PRL concentrations. The precise
neuroendocrine mechanisms underlying such relative
hypoprolactinemia in aging are incompletely understood. In the
present study, we sampled blood at 2.5-min intervals overnight in 11
young (aged 2134 yr) and 8 older (aged 6272 yr) healthy men for
subsequent chemiluminescence-based assay of serum PRL concentrations.
The mean (±SEM) serum PRL concentration was significantly
reduced at 4.3 ± 0.78 µg/L in older men compared with 9.5
± 1.2 µg/L in young volunteers (P = 0.0049). PRL
concentrations correlated with serum testosterone (r = 0.473;
P = 0.041), dehydroepiandrosteroen
sulfate (r = + 0.455, P = 0.05), and
insulin-like growth factor I (r = 0.494; P =
0.032) levels. Deconvolution analysis was used to evaluate combined
pulsatile and basal modes of PRL secretion. In older men, discrete PRL
secretory bursts were marked by a significantly (2.4-fold) attenuated
mass of hormone secreted per burst (amount of PRL secreted per unit
distribution volume), viz. 1.6 ± 0.23 (older)
vs. 3.9 ± 0.57 µg/L (young;
P < 0.01). In contrast, PRL secretory burst
frequency, interpulse interval, and pulse duration were invariant of
age. Concomitantly, basal PRL secretion was reduced by 2-fold in older
subjects, namely to 0.00030 ± 0.00027 (older) vs.
0.00065 ± 0.0002 µg/L/min (young; P <
0.01). The amount of total PRL secretion that was pulsatile averaged
82 ± 5.3% in young and 99 ± 0.13% in older men
(P = 0.012), indicating preferential loss of the
basal mode of PRL release in aging.
Assuming that basal PRL secretion mirrors functional pituitary
lactotroph cell secretory mass, whereas pulsatile PRL release reflects
effective (net) intermittent hypothalamic drive to responsive
lactotroph cells, then our results suggest both an attrition in
lactotroph cell mass and an impoverishment of net positive hypothalamic
(agonistic) input to lactotrophs in older men. Given the multiple roles
of PRL reported in experimental animals (e.g. on the one
hand to support immune function and adrenal androgen biosynthesis and
on the other hand to activate intraprostatic growth factors), we
suggest that the nocturnal relative hypoprolactinemia observed in
healthy aging men may have both adaptive and maladaptive clinical
implications to target tissues.
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Introduction
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PRL RELEASE in experimental animals is
governed jointly by hypothalamic inhibitory and (putatively)
stimulatory signals (1). In experimental animals and humans, PRL
release is both episodic (pulsatile, ultradian) and
circadian/nyctohemeral (2, 3, 4, 5, 6, 7). Recent clinical studies indicate that a
basal/nonpulsatile (or constitutive) mode of PRL release also exists
(8, 9). For example, within the first day of life, a physiological
(relative) hyperprolactinemia is evident that is nearly time invariant
(albeit dopamine suppressible) (10, 11). The basal-like mode of PRL
secretion in the neonate is replaced by admixed basal and pulsatile PRL
release in the adult (5, 7, 8, 9, 12, 13, 14), when 24-h variations in serum
PRL concentrations also emerge. Nyctohemeral rhythms arise
mechanistically from controlled variations in the amounts of pulsatile
and basal PRL release, e.g. as assessed recently by
waveform-independent deconvolution analysis (8).
In limited clinical studies, healthy aging appears to reduce PRL
release in both men and (postmenopausal) women (15, 16, 17, 18). The relative
hypoprolactinemia of aging is thematically analogous to the
hyposomatotropism recognized in older individuals (somatopause), as
lactotropic and somatotropic cells share an embryonic anlage and are
regulated in part by common hypothalamic pathways. However, in contrast
to abundant studies of the neuroendocrine mechanisms that subserve
relative GH deficiency in aging (19), fewer clinical data exist to our
knowledge concerning the hypothalamo-pituitary changes that engender
the (physiological) age-related decline in PRL concentrations.
To evaluate the neuroendocrine mechanisms that mediate reduced PRL
secretion in healthy older men, we studied young and older volunteers
in the absence of confounding illness, drug ingestion, stress, acute
sex-steroid changes, etc., and after the subjects
adaptation to the study unit. To capture the majority of PRL secretion,
we sampled blood every 2.5 min during the hours of sleep. PRL was
measured by a random access chemiluminescence-based assay, and
pulsatile secretion was quantitated via deconvolution analysis to
estimate the frequency, interpulse interval, amplitude, mass, and
duration of underlying PRL secretory bursts (20). By applying earlier
kinetic estimates of PRL disappearance in the human (9, 21), we could
simultaneously evaluate the basal (nonpulsatile) and pulsatile modes of
PRL production.
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Materials and Methods
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Clinical protocol
Eleven healthy young (aged 2134 yr) and eight healthy older
(aged 6272 yr) men were recruited for study at the General Clinical
Research Center at the University of Virginia Health Sciences Center.
After providing written informed consent, each volunteer underwent 1
night of adaptation in the study unit, followed by overnight blood
sampling at 2.5-min intervals. A long venous catheter was placed in a
forearm vein and used to sample blood for an average of 7 h during
sleep. No volunteer was receiving medications, had any illness, had
undertaken recent transmeridian travel, or had any evidence by
screening laboratory assessments, physical examination, or medical
history of hepatic, renal, hematological, metabolic, or endocrine
diseases. Baseline morning (fasting) serum concentrations of LH, FSH,
PRL, GH, TSH, insulin-like growth factor I (IGF-I), T4,
resin T3 binding, testosterone, and estradiol were all
normal for age (22, 23, 24).
Assays
PRL was assayed in an automated, random access,
chemiluminescence-based immunoassay in singlet (22) (ACS: 180, Chiron
Diagnostics, Corp., Walpole, MA). Independent studies demonstrated a
linear correlation between PRL measured under these circumstances and
values obtained in an immunoradiometric assay (Nichols Institute Diagnostics, San Juan, Capistrano, CA; r = 0.938;
P < 0.001; n = 18 pooled samples). Based on
replicate sample pools, the within-assay coefficient of variation was
less than 6.5%, and the between-assay coefficient of variation was
less than 10% (22). All samples from an individual volunteer were
analyzed together to eliminate interassay variability.
Dehydroepiandrosterone sulfate (DHEA-S), testosterone,
estradiol, and IGF-I were assayed by RIA using the reagents provided,
respectively, by Diagnostic Products (Los Angeles, CA) and
Nichols Institute Diagnostics.
Secretion analysis
Deconvolution analysis was used to estimate concurrent pulsatile
and basal PRL secretion from the overnight serum PRL concentration-time
series, as described previously (23, 24). Briefly, we computed basal
(interpulse, nonpulsatile) PRL secretion as well as the number,
duration, amplitude, mass, and interpulse interval of statistically
significant (P < 0.05, by joint confidence intervals)
PRL secretory bursts (20, 25). To this end, we first recalculated
biexponential PRL kinetics using clinical PRL infusion data reported
previously (21). This yielded a mean (±SEM) rapid phase
PRL half-life of 18.4 ± 4.0 min, a slower component value of
139 ± 25 min, and a fractional amplitude of the slower component
(to the total decay) of 0.495 ± 0.15 (9).
PRL secretory measures included the mass of hormone released per burst
(micrograms per L, or integral of the calculated secretory event),
amplitude of the PRL secretory burst (micrograms per L/min, or maximal
rate of calculated PRL secretion attained within a release episode),
frequency (number of events observed per sampling session), and
interpulse interval (mean time in minutes separating consecutive PRL
secretory bursts). Basal PRL secretory rates are expressed as
micrograms of PRL secreted per unit distribution volume (liter) per
min. Total PRL production represents the sum of pulsatile (mean pulse
mass multiplied by PRL burst number) and basal secretory rates (mean
secretory rate multiplied by total duration of the sampling interval).
The percent pulsatile PRL secretion was the (percentage) ratio of
observed pulsatile to total PRL release overnight (20, 25).
Statistics
Statistical comparisons were made by two-tailed unpaired
Students t test for mean serum PRL concentrations and by
Wilcoxons unpaired nonparametric test for deconvolution measures.
P < 0.05 was construed as statistically significant.
Linear regression analysis was employed to evaluate the relationship
between overnight serum PRL and DHEA-S, testosterone,
estradiol, or IGF-I concentrations.
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Results
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As shown in Fig. 1A
, there was a
significant contrast between mean (overnight) serum PRL concentrations
(micrograms per L) in older and young men (P = 0.0049).
Overnight integrated serum PRL concentrations were 3083 ± 353 in
older and 1157 ± 288 µg/L·min in the young individuals
(P < 0.01). Serum DHEA-S concentrations
in the two age groups also were different (P = 0.0017;
Fig. 1B
). In contrast, mean serum total testosterone levels were
similar in older (425 ± 48 ng/dL) and young (523 ± 40
ng/dL) men (P = NS; Fig. 1C
).

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Figure 1. Serum PRL (A) and (pooled)
DHEA-S (B) or total testosterone (C) concentrations
determined by sampling every 2.5 min overnight in 11 young and 8 older
healthy men. Separate symbols denote individual mean overnight hormone
concentrations for each volunteer. The numerical values are the group
mean ± SEM. P values were determined
by unpaired two-tailed Students t testing.
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Figure 2A
illustrates typical overnight
profiles of serum PRL concentrations in three young men and three older
individuals. PRL release profiles were visually pulsatile in both age
groups. Deconvolution analysis was used to quantitate overnight
pulsatile and basal PRL secretion (Fig. 2B
). This analysis delineated a
marked diminution in mean PRL secretory burst mass in older volunteers.
As shown in Fig. 3
, the calculated
(mean ± SEM) amount (mass) of PRL released per
secretory episode per L distribution volume (micrograms per L) was
reduced approximately 2.5-fold in older men, viz. 1.6
± 0.23 (older) vs. 3.9 ± 0.57 (young;
P < 0.01). Reduced PRL secretory burst mass was
associated with a lower PRL secretory pulse amplitude (maximal rate of
PRL secretion attained within a release episode), namely 0.30 ±
0.07 (older) vs. 0.51 ± 0.10 (young) µg/L·min. In
contrast, PRL secretory burst half-duration, pulse frequency, and
intersecretory burst interval were statistically indistinguishable in
young and older men (Table 1
).

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Figure 2. Illustrative overnight PRL release profiles
in three young and three older men sampled every 2.5 min during the
hours of sleep. Data are sample serum PRL concentrations (mean ±
interpolated assay SD), which were determined by an
automated chemiluminescence assay (see Materials and
Methods). The visually evident tendency for pulsatile PRL
release was quantitated by deconvolution analysis. A, Measured serum
PRL concentrations with the deconvolution-predicted fits of the data
(continuous curves); B, the calculated PRL secretory rates (micrograms
per L/min) over time.
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Figure 3. PRL secretory burst mass in 11 young
vs. 8 older men sampled overnight, as assessed by
deconvolution analysis (see Materials and Methods). Data
are otherwise presented as described in Fig. 1 , except that
P values were determined by the unpaired Wilcoxon
(nonparametric) rank sum test.
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Analysis of the basal (interpeak) PRL secretory rate revealed a 2-fold
reduction in older individuals (P < 0.01 for young
vs. older men; Fig. 4
).

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Figure 4. Basal (interpulse) PRL secretory rates
estimated by deconvolution analysis in 11 young and 8 older men sampled
every 2.5 min overnight. Data are presented as described in Fig. 3 .
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Figure 5
shows the partitioning of total
(overnight) PRL secretion into its computed pulsatile and basal
components in young and older men. Each measure of PRL secretion was
significantly lower in older men (P = 0.0044 to
P = 0.0003). The percentage of total overnight PRL
secretion that was pulsatile averaged 82 ± 5.3 in young men and
99 ± 0.139 in older subjects (P = 0.012). This
difference was due to a nearly complete loss of calculated basal PRL
release in older volunteers.

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Figure 5. Bar graphs quantitating the
partitioning of total (bottom) overnight PRL secretion
into its pulsatile (top) and basal
(middle) components in 11 young and 8 older men. Data
are the mean ± SEM.
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Figure 6
presents the positive linear
correlations between overnight serum PRL and DHEA-S
(r = 0.455; P = 0.05), IGF-I (r = 0.494;
P = 0.032), and testosterone (r = 0.473;
P = 0.041) concentrations in the group of 19 men
studied here.

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Figure 6. Linear regression analyses of the
relationships between (mean) serum PRL and DHEA-S (A),
IGF-I (B), or total testosterone (C) concentrations. Data represent a
combined analysis of 11 young (+) and 8 older men () sampled every
2.5 min overnight.
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Discussion
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One physiological concomitant of human aging is a significant
decrement in circulating PRL concentrations in men and women. This
clinical feature of aging contrasts with a striking proclivity for
hyperprolactinemia in the older rodent (1, 2, 15, 16, 17, 26, 27). Indeed,
in the aging rat, elevated PRL secretion in male and female animals can
be accompanied by pituitary lactotroph-cell hyperplasia and/or adenoma
formation (28). On the other hand, available studies in humans
demonstrate that serum PRL concentrations tend to fall with age,
e.g. in older men and estrogen-unreplaced postmenopausal
women (15, 16, 18). Other changes in the PRL axis may coexist with this
relative hypoprolactinemia in human aging. For example, PRL-derived
amyloid accumulates in the aging human pituitary gland (29), and
PRL-binding sites in the choroid plexus, hippocampus, and hypothalamus
decrease in older individuals (27, 30). Moreover, the bioactivity of
circulating PRL may falls in elderly men and postmenopausal
(vs. premenopausal) women (15, 16). A comparable
quantitative reduction in PRL secretion is recognized in critically ill
individuals (31) as well as in patients with poorly controlled type I
diabetes mellitus (12). Here, we have evaluated the specific
neuroendocrine mechanisms that underlie the physiological, age-related,
relative diminution in PRL secretion in healthy older unmedicated men
by the 3-fold strategy of intensive (every 2.5 min) overnight blood
sampling, chemiluminescence-based assay, and deconvolution-assisted
pulse analysis. Overnight blood sampling at a high frequency was used
to capture the time-varying outpouring of PRL during the hours of
sleep. We observed that impoverished PRL secretory pulse mass and
remarkedly limited basal PRL release jointly explicate the (relative)
hypoprolactinemia in aging men. This age-associated decline in
overnight PRL production was accompanied by parallel reductions in
circulating concentrations of IGF-I (somatopause), testosterone
(andropause), and DHEA-S (adrenopause).
PRL secretion is governed by multiple neurotransmitters, peptide
modulators, and sex hormones (1). In relation to sex hormones, in the
aging rat chronic exposure to estrogen can induce PRL-secreting
adenomas and nodular lactotroph hyperplasia (26, 28). In contrast, in
the human, such a pathophysiology is not evident (32). Additionally, a
variety of (nonsex steroid) medications can stimulate PRL secretion
acutely, whereas other pharmacological agents inhibit PRL release.
Numerous other factors also modulate serum PRL concentrations,
including hepatic and/or renal function. Consequently, in the present
study, we adapted each study subject to the sampling protocol for 1
night to limit stress and excluded any volunteer with underlying
hepatic or renal disease, receiving neuroendocrine-active medications,
experiencing physical or psychological stress, or undertaking
transmeridan travel. Under these conditions, we could demonstrate a
sharp distinction in the amount and mode of overnight PRL release in
healthy, unmediated, and unstressed older vs. young
individuals.
Deconvolution analysis provided an explication of the neuroendocrine
secretory mechanisms of aging-associated relative hypoprolactinemia. In
particular, we observed a significant and consistent diminution in
calculated PRL secretory burst mass (amount of PRL secreted per unit
distribution volume/pulse) in older men. The reduction in estimated PRL
burst mass was accompanied by a decline in the maximal PRL secretory
rate achieved within each pulse (calculated underlying secretory event
amplitude), but no abbreviation of burst duration.
The pulsatile mode of PRL secretion is presumptively driven by
intermittent hypothalamic stimulatory input(s), such as TRH, and/or
episodic withdrawal of brain inhibitory signals, such as dopamine (33).
Studies in the experimental animal and human indicate that pulsatile
PRL secretion continues prominently after pharmacological blockade of
dopamine-2 receptors (34, 35, 36). Thus, the generation of a PRL pulse
is probably not attributable solely to momentary withdrawal of
hypothalamic dopamine. Accordingly, other pertinent inhibitors of PRL
release and/or relevant hypothalamic PRL-releasing factors may play a
role in initiating or coordinating episodic PRL secretion bursts (37).
Either or both of these effector pathways may be altered in aging, as
predicted by our finding of attenuated PRL burst mass.
Episodic PRL release is also evident in rat and primate pituitary
glands in vitro, albeit at a significantly higher frequency
and lower amplitude (microbursts) than those recognized in
vivo (37, 38). The exact relationship, if any, between such
in vitro ultradian PRL oscillations occurring every 512
min and the higher amplitude, less frequent (every 4590 min), and
more prolonged PRL secretory events observed in vivo in the
intact animal and human is not known. One plausible hypothesis is that
various hypothalamic and/or intrapituitary factors act in concert
in vivo to orchestrate sustained PRL secretory bursts by
synchronizing multiple, otherwise lower amplitude and brief,
intrapituitary PRL secretory microbursts. We speculate that aging in
the human may disrupt the robustness of such postulated lactotroph cell
synchrony. In favor of this hypothesis is the tendency we observed
toward greater quantifiable disorderliness (higher approximate entropy;
P = 0.095) of PRL release in the older men studied
here. This postulated idea would thematically complement the
significantly more irregular secretory patterns reported previously for
both pituitary GH and LH release in older men (39, 40).
Attenuation of PRL secretory burst mass in aging also could arise
mechanistically from a decrease in lactotroph cell responsiveness to
available secretagogue(s) and/or a reduction in lactotroph cell mass.
Clinical data cannot yet distinguish between these possibilities.
TRHs stimulation of PRL secretion in older individual is either
normal (in women) or reduced (in men) (15, 17). PRL release evoked by
exercise, sleep, surgical stress, insulin-induced hypoglycemia, or
dopamine antagonists often declines in older individuals (1, 4, 17).
Diminished lactotroph responsiveness would suggest a primary reduction
in lactotroph cell mass or secondarily reduced lactotroph cell mass due
to a relatively prolonged diminution in hypothalamic PRL-releasing
activity and/or a sustained excess of hypothalamic inhibitors. In favor
of altered hypothalamic inputs to lactotrophs are numerous changes in
brain neurotransmitter pathways that accompany healthy aging, including
those in dopaminergic, serotoninergic, cholinergic, and noradrenergic
systems (1, 26, 41). Alternatively, in support of a primary
age-dependent attrition of lactotroph cell mass is the 2-fold lower
basal PRL secretory rate observed here in older men. The basal rate of
hormone release is presumptively a measure of the constitutive
secretory capacity of the endocrine gland and, hence, putatively
mirrors active secretory cell mass [e.g. in
parathyroid-gland hyperplasia, acromegaly, etc.
(42, 43, 44)].
The clinical implications of relative hypoprolactinemia in healthy
aging men are not known. Among other experimental considerations, PRL
may serve as a protective factor against stress (45). In addition,
pharmacological suppression of PRL release for several weeks in young
men decreased subsequent hCG-stimulated testosterone secretion (46). To
our knowledge, no clinical studies have tested the converse hypothesis,
namely that restoration of PRL secretion in older men reconstitutes the
diminished Leydig cell responsiveness to LH/hCG stimulation recognized
in aging (47). PRL in some animals also maintains immune function,
influences sleep stage, and stimulates adrenal androgen secretion (1, 48, 49). In the last regard, serum PRL concentrations in the present
study correlated positively with serum DHEA-S
concentrations. However, this statistical relationship does not
establish a causal linkage between relative hypoprolactinemia and
reduced adrenal androgen secretion in older men. Indeed, reduced serum
IGF-I and testosterone concentrations also correlated with the fall in
PRL levels in aging men, suggesting a plausible 4-fold association
among the somatopause, andropause, adrenopause, and "lactopause"
(41).
The reduction in PRL secretion with healthy aging may alternatively
serve one or more adaptive functions; for example, in the rat, PRL
inhibits copulatory behavior (50) and stimulates the expression of
intraprostatic IGF-I peptide and receptors as well as androgen
receptors, which (in combination with others factors) probably govern
overall prostatic growth (51). Clinical experiments would be required
to test any (unproven) proposition of protective effects of the
age-related relative hypoprolactinemia on sexual function or prostatic
growth in older men.
In summary, the present studies demonstrate significant nocturnal
relative hypoprolactinemia in healthy older men. Deconvolution analysis
revealed selectively decreased PRL secretory burst mass and the basal
PRL secretory rate. The number of PRL secretory pulses generated
overnight was age invariant, which would suggest that any (putative)
hypothalamo-pituitary PRL pulse-generating mechanisms are preserved in
older individuals. In contrast, the aging male GnRH-LH-FSH axis is
marked by an accelerated frequency of lower amplitude LH secretory
bursts, and, in contradistinction to PRL, an augmentation of FSH
secretory burst mass with elevated basal FSH secretion rates (52, 53, 54).
Attenuated PRL secretory burst mass with aging more closely emulates
the well recognized decline in GH secretory burst mass in older
individuals (19, 39). Further studies of the neuropharmacology and
neuroendocrinology of aging should thus be helpful in elucidating the
mechanistic linkages (if any) among relative hypoprolactinemia,
hyposomatotropism, reduced DHEA-S, and inappropriately
restrained LH release in the aging male.
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Acknowledgments
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We thank Patsy Craig for her skillful preparation of the
manuscript; Paula P. Azimi for the deconvolution analysis, data
management, and graphics; Brenda Grisso and Ginger Bauler for
performance of the immunoassays; and Sandra Jackson and the expert
nursing staff at the University of Virginia General Clinical Research
Center for conduct of the research protocols.
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Footnotes
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1 This work was supported in part by NIH Grant MO1-RR-00847 (to the
General Clinical Research Center of the University of Virginia Health
Sciences Center), Baxter Healthcare Corp. (Round Lake, IL; to J.D.V.),
the NIH-supported Clinfor Data Reduction Systems, the University of
Virginia Pratt Foundation and Academic Enhancement Program, the NSF
Center for Biological Timing (Grant DIR8920162), the NIH U-54
Specialized Cooperative Centers Program in Reproductive Research
(HD-28934), NIA Grant AG-1479901 (to J.D.V.), and Veterans Affairs
Merit Review Research Funds (to T.M.). 
Received August 25, 1998.
Revised November 11, 1998.
Accepted November 20, 1998.
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