The Journal of Clinical Endocrinology & Metabolism Vol. 83, No. 2 499-502
Copyright © 1998 by The Endocrine Society
The Insulin-Like Growth Factor Axis and Plasma Lipid Levels in the Elderly1
Gian Paolo Ceda,
Elisabetta DallAglio,
Andrea Magnacavallo,
Nicola Vargas,
Vittorio Fontana,
Marcello Maggio,
Giorgio Valenti,
Phillip D. K. Lee,
Raymond L. Hintz and
Andrew R. Hoffman
Cattedra di Geriatria (G.P.C., A.M., N.V., V.F., M.M., G.V.) e
Cattedra di Scienza dellAlimentazione (E.D.), Università di
Parma, Parma, Italy; Diagnostic Systems Laboratories, Inc. (P.D.K.L.),
Webster, Texas 77598; the Departments of Pediatrics (R.L.H.) and
Medicine (A.R.H.), Stanford University, Stanford, California 94305; and
Geriatric Research, Education, and Clinical Center, Veterans
Administration Palo Alto Health Care System (A.R.H.), Palo Alto,
California 94304
Address all correspondence and requests for reprints to: Dr. Gian Paolo Ceda, Cattedra di Geriatria, Università di Parma, Ospedale G. Stuard, Via Don Bosco 2, 43100 Parma, Italy.
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Abstract
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The activity of the hypothalamic-GH-insulin-like growth factor (IGF)
network declines with age. It has recently been shown that increased
cardiovascular mortality occurs in adults with GH deficiency. As
hypercholesterolemia is common in GH-deficient adults, and because
there is experimental evidence that GH may play a role in regulating
plasma cholesterol, we decided to investigate the activity of the
GH-IGF axis in an elderly population by measuring serum IGF-I, IGF-II,
and IGF-binding protein-3 (IGFBP-3) levels and to study their
relationship with blood lipid levels. One hundred and thirty-two
elderly subjects, 52 men and 80 women, were studied (age range, 6091
yr). Men had significantly lower levels of IGFBP-3, high density
lipoprotein cholesterol (HDL-C) and apoprotein A1 (ApoA1) compared to
the women, whereas IGF-I and IGF-II were only slightly lower. Using
linear regression analysis, we observed an inverse relationship of age
with IGF-I (r = -0.35; P < 0.001), IGF-II
(r = 0.40; P < 0.001), IGFBP-3 (r =
0.52; P < 0.001), body mass index, and lipid
levels. Univariate regression analysis showed a strong and positive
correlation of both IGF-I and IGFBP-3 with HDL-C and ApoA1. Partial
correlation analysis, after adjustment for age and body mass index,
showed that IGFBP-3 and IGF-II were still significantly and positively
related to HDL-C and ApoA1. Furthermore, a strong association was
documented among IGF-I, IGF-II, and IGFBP-3. These data demonstrate
that even in an elderly population, further aging is accompanied by a
progressive decline in circulating IGF-I, IGF-II, and IGFBP-3,
suggesting a continuing diminution of the GH-IGF axis throughout aging.
Moreover, the strong correlation between HDL-C and an index of GH
secretion, such as IGFBP-3, suggests that GH might play an important
role in lipid metabolism in healthy elderly subjects.
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Introduction
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GH SECRETION declines dramatically with
advancing age (1, 2). The reduced activity of the GH-insulin-like
growth factor (GH-IGF) axis leads to a condition known as the
somatopause (3), which is characterized by a decrease in lean body mass
and an increase in adipose mass, osteopenia, muscle atrophy, reduced
exercise tolerance, and changes in the plasma lipoprotein profile.
These alterations are similar to those observed in younger adult
patients with GH deficiency (4). In these subjects there are signs and
symptoms that define a GH deficiency syndrome, including central
adiposity, an increased waist/hip ratio, and decreased muscle strength
and exercise performance. Furthermore, in these patients
hypercholesterolemia and increased low density lipoprotein cholesterol
(LDL-C) levels have frequently been observed (5, 6, 7). GH deficiency has
been associated with an increased risk of death due to cardiovascular
disorders (8), an observation that might indicate a role for GH in the
control of lipoprotein metabolism.
GH therapy has been shown to lower plasma cholesterol in patients with
hypercholesterolemia (7, 9). Plasma IGF-I has been shown to correlate
inversely with LDL-C in women with mildly elevated cholesterol levels,
hypothyroid women, and normal elderly individuals (10, 11, 12), whereas
IGF-binding protein-1 (IGFBP-1) has been found to be correlated with
LDL (13). In the rat, GH has effects on serum levels of total
cholesterol, LDL-C, apolipoprotein B (ApoB), and ApoE as well as on
hepatic secretion of triglycerides (TG), ApoB48, ApoB100, and ApoE
(14, 15, 16, 17, 18). Furthermore, GH and IGF-I increase macrophage uptake and
degradation of LDL (19), and GH plays a role in the regulation of
hepatic LDL receptors (20).
Therefore, we decided to investigate the activity of the GH-IGF axis in
a cohort of normal elderly subjects by correlating IGF-I, IGF-II, and
IGFBP-3 levels with plasma lipid levels.
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Subjects and Methods
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One hundred and thirty-two healthy elderly subjects (52 men and
80 women), 6091 yr of age, were examined. The subjects were
out-patients living at home with their families, who were referred for
minor physical problems, such as mild disease of the respiratory
system, borderline systolic hypertension, or degenerative joint
diseases. All subjects had normal renal and liver function, as
documented by a normal physical examination, electrocardiogram, and
blood chemistry panel. Each subject was within 20% of ideal body
weight. No subject was known to have consumed excessive alcohol, and
none was taking any medication known to influence central nervous
system and pituitary function or to alter plasma lipid levels, such as
ß-blockers, diuretics, or lipid-lowering drugs. All patients had
normal thyroid function tests, and none of the women was currently
taking estrogen replacement therapy for the menopause.
All subjects gave informed consent to the study, and the protocol was
approved by the local ethics committee of the University of Parma.
After an overnight fast, a blood sample was drawn between 08000900 h.
Serum was separated and stored at -70 C.
IGF-I and IGF-II were assayed by RIA after acid chromatography of the
samples to separate the IGF peptides from the IGFBPs (21). Serum
(0.31 mL) was introduced into a 100 x 0.9-cm column of Sephadex
G-50 and eluted with 0.25 mol/L formic acid at room temperature. The
IGF fraction (Kd, 0.430.68) was lyophilized and
reconstituted in the appropriate assay buffer. IGFBP-3 was measured by
RIA using reagents provided by DSL (Webster, TX).
Total cholesterol, high density lipoprotein cholesterol (HDL-C; after
precipitation of very low density lipoprotein and LDL with
phosphotungstic acid and magnesium ions), and TG were assayed by
enzymatic-colorimetric reactions with reagents provided by Boehringer
Mannheim (Mannheim, Germany). LDL-C was calculated using the Friedwald
formula. ApoAI and ApoB were determined with a turbidimetric method
(Turbiquant, Istituto Behring, Scoppito, Italy).
Statistical analysis was performed using an SAS software package (SAS
Institute, Cary, NC). Analytical methods included routine descriptive
statistics, simple correlations, partial correlations, unpaired
t test, and repeated measures ANOVA. Normality test was
applied to all of the variables, and only body mass index (BMI),
IGFBP-3, and ApoA were normally distributed. Spearman correlations were
used to assess the crude associations between the variables without
making assumptions about normality of the data. Pearsons partial
correlation coefficients were also performed on log-transformed values,
which better approximate a normal distribution.
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Results
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Although no difference in the mean age, BMI, cholesterol, and TG
values between male and female subjects was observed, HDL-C and ApoA1
levels were significantly lower in the men, indicating that sex
differences in lipid metabolism are maintained even in the elderly
subjects. Men also showed significantly lower IGFBP-3 levels, and IGF-I
and IGF-II levels were slightly, but not significantly, lower than
those in the women (Table 1
).
The influence of age on the various parameters was investigated using
linear regression analysis (Table 2
). A
strong negative correlation of age with IGF-I, IGF-II, and particularly
IGFBP-3 was documented. There was also a negative correlation between
age and BMI; this was due to significantly lower BMI values of the
octogenarians (data not shown). Total cholesterol and HDL-C levels
declined significantly with age, whereas LDL-C and ApoB were not
significantly affected by aging.
When BMI was the dependent variable, and all of the other parameters
were the independent covariates, as expected, a positive correlation
with total cholesterol and TG, and a negative correlation with HDL-C
were observed (Table 2
). BMI was not correlated with any of the growth
factors studied.
IGFBP-3 and, to a lesser extent, IGF-I were positively correlated with
HDL-C (Fig. 1
) and ApoA1, whereas IGF-II
was positively associated with all lipid values, with the strongest
correlations recorded again for HDL and ApoA1 (Table 3
). Partial correlation analysis after
adjustment for age and BMI (Table 4
)
showed that IGFBP-3 was still significantly and positively related to
HDL-C and ApoA1, whereas the IGF-I correlation was lost. IGF-II,
however, remained significantly correlated with total cholesterol, HDL,
and LDL levels. Furthermore, a very strong association was documented
among IGF-I, IGF-II, and IGFBP-3. Therefore, if IGFBP-3 is considered
to be an index of GH secretion, the positive associations documented in
this study with HDL-C suggest that GH as well as IGF-II might play a
role in lipid metabolism during aging.
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Table 3. Linear regression coefficients (r) and P
values between IGFBP-3, IGF-I, and IGF-II and the other measured
variables
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Table 4. Partial correlation coefficients, after adjustment
for age and BMI, between IGF-I, IGF-II, and IGFBP-3 and the other
measured variables
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Discussion
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Previous cross-sectional studies in adult subjects have
demonstrated that the levels of IGF-I decline with advancing age (1, 2, 22, 23, 24, 25), attaining values in the seventh decade 4050% lower than
those recorded in young subjects. We demonstrate that even in an old
population, aging is accompanied by continuously declining levels of
IGF-I. There is a parallel decline in the levels of IGFBP-3, a
GH-dependent protein, which is the major IGFBP in the circulation (22).
Previous studies have clearly demonstrated that aging is associated
with a decrease in both the 24-h integrated GH values and the mean
pulse amplitude and duration (26). Furthermore, an age-related decline
in the responsivity to GHRH stimulation has been reported (27).
Although these data seem to suggest a GH dependency of age-related
declines in IGF-I and IGFBP-3, other hypotheses cannot be excluded. As
the production of both IGF-I and IGFBP-3 is also nutritionally
regulated (22), the presence of subtle nutritional and metabolic
alterations in the very elderly might have played a causative role in
the progressive decrease in IGF and IGFBP-3 levels. We also observed a
slight decline in BMI in the octogenarians. The observation that the
levels of IGF-II, which are far less GH dependent, decline continuously
with aging does not contradict this interpretation. The reduction of
IGF-II levels could be secondary to the reduction of IGFBP-3, which is
the principal binding protein in the blood for both IGF-I and IGF-II.
It is also possible that the age-related decline in IGF and IGFBP
levels occurs independent of changes in the hypothalamic-somatotroph
axis.
It is known that with aging there is a decline in both gonadal and
thyroid function (28, 29). As both testosterone and thyroid hormones
play an important role in IGF-I synthesis (30, 31), it is possible that
the reduced levels of these hormones might also play some role in the
declining activity of the GH-IGF axis with aging. In our subjects,
thyroid hormone levels were normal, whereas testosterone levels were
not assayed due to limitations of the volume of phlebotomy.
We then examined the relationships between plasma lipid levels and
IGF-I, IGF-II, and IGFBP-3 levels. It has become increasingly evident
that GH deficiency in the adult population is accompanied by
hypercholesterolemia (4, 7, 32) and clinical evidence of premature
vascular disease (33, 34). Furthermore, GH treatment in these patients
has been shown to reduce lipid levels (7, 35, 36) and, in some studies,
to increase HDL-C levels (9, 36). The mechanisms underlying the
favorable effects of GH on lipid and lipoprotein metabolism in GH
deficiency are not completely understood. GH stimulates LDL-C
catabolism and influences lipoprotein lipase activity either directly
(37) or through modulation of the activities of other hormones (9).
The demonstration in our study of a positive relationship of IGFBP-3
and IGF-I with HDL-C and ApoA1 levels would suggest a favorable effect
of GH treatment on plasma lipid levels even in the old subjects. In
fact, when the confounding effects of age and BMI were corrected, both
IGFBP-3 and IGF-II showed positive correlations with HDL-C, suggesting
that during aging, higher levels of IGFs are accompanied by a less
atherogenic plasma lipid profile. This hypothesis is supported by the
observation that adult patients with GH deficiency have lower HDL-C
levels and higher TG levels than age-matched controls (38).
In conclusion, the present study demonstrates that even in an elderly
population, further aging is accompanied by a progressive decline in
circulating IGF-I, IGF-II, and IGFBP-3, suggesting a continuing
diminution of GH secretion throughout aging. This decrease has been
previously reported for IGF-I and IGFBP-3, but not for IGF-II, and the
role of IGF-II in lipid metabolism deserves further investigation.
Moreover, the strong correlation between HDL-C and an index of GH
secretion, such as IGFBP-3, suggests that GH might play an important
role in lipid metabolism in healthy elderly subjects. It will be
important to examine lipoprotein and lipid metabolism, therefore, in
elderly subjects who receive long term GH therapy for treatment of the
somatopause.
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Acknowledgments
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The authors thank Ms. M. Calinosi for her excellent secretarial
assistance, and Dr. F. Ablondi for his excellent technical
assistance.
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Footnotes
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1 This work was supported in part by NIH Grant AG-10999 and the
Research Service of the Department of Veterans Affairs. 
Received March 25, 1997.
Revised September 15, 1997.
Accepted October 9, 1997.
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