(Hypertension. 1999;34:1208.)
© 1999 American Heart Association, Inc.
Scientific Contributions |
From Internal Medicine (A.M.G., P.Z., G.G., A.B., L.G., A.V.), Department of Clinical and Biological Sciences, Faculty of Medicine, University of Insubria, Varese, and the Department of Nuclear Medicine (A.F., L.C.), Ospedale di Circolo, Varese, Italy.
Correspondence to Anna M. Grandi, MD, via Bagaini 15, 21100 Varese, Italy.
| Abstract |
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Key Words: insulin diastole hypertension, essential obesity hypertrophy
| Introduction |
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| Methods |
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25 kg/m2) or
obese (BMI
30 kg/m2, with upper body obesity:
waist/hip ratio >0.92 [men] and >0.82 [women]), with fasting
plasma glucose <5.6 mmol/L and without family history of diabetes
mellitus. Arterial BP was evaluated on the basis of at
least 3 measurements by sphygmomanometer, taken on different days. We
selected subjects with BP >160 (systolic) and/or >95
(diastolic) mm Hg. Subsequently, each patient
underwent a 24-hour noninvasive ambulatory BP monitoring, and patients
with mean 24-hour BP >140 (systolic) and/or >90
(diastolic) mm Hg were enrolled for the study. A
basic criterion of selection was the opportunity to directly assess
family history of hypertension on the basis of parents histories and
BPs. F- was established when both parents were living and had BP
<140/90 mm Hg; F+ was established when at least 1 parent was
living and had BP >160/95 mm Hg or 1 or both parents had a
history of chronic antihypertensive treatment. Parental BP was measured
by sphygmomanometer 3 times in different days by one of the
investigators. Other criteria of selection were as follows: LV M-mode
echocardiogram of good quality; no clinical, ECG, or
echocardiographic evidence of heart failure, myocardial
infarction, angina pectoris, or congenital or valvular heart
diseases; no previous regular antihypertensive treatment or withdrawal
from therapy at least 6 weeks before the study; and no systemic
diseases, such as connective tissue disorders, which, per se, could
induce changes in LV structure and function. Following these criteria,
we selected 197 hypertensive patients and grouped them as follows:
LHF-, 50 lean hypertensives (31 men) with both parents normotensive;
LHF+, 64 lean hypertensives (39 men) with 1 (42 patients) or both (22
patients) parents hypertensive; OHF-, 40 obese hypertensives (25 men)
with both parents normotensive; and OHF+, 43 obese hypertensives (26
men) with 1 (28 patients) or both (15 patients) parents
hypertensive. Of the 197 patients, 138 had been already included, with respect to 24-hour BP profile and metabolic parameters, in 2 previous studies22 24 involving the influence of genetic predisposition to hypertension on insulin sensitivity in hypertensive subjects. The patients were judged to have essential hypertension on the basis of history, physical examination, and laboratory findings. Among the patients selected, 30 LHF- (60%), 38 LHF+ (59%), 25 OHF- (62%), and 27 OHF+ (63%) had never been regularly treated with antihypertensive drugs; 11 LHF- (22%), 15 LHF+ (23%), 10 OHF- (25%), and 9 OHF+ (21%) had been on regular medication with angiotensin-converting enzyme inhibitors; 7 LHF- (14%), 8 LHF+ (12.5%), 5 OHF- (12.5%), and 5 OHF+ (11.6%) had been treated with calcium antagonists; and 2 LHF- (4%), 3 LHF+ (4.7%), and 2 OHF+ (4.6%) had been treated with ß-blockers. Mean duration of therapy was 8±3 months, and drugs failed to control BP in 46 patients; we do not have reliable information regarding BP control during therapy in the remaining 31 patients. Antihypertensive treatment was discontinued at least 6 weeks before the study in all the 77 patients; mean duration of drug withdrawal before the study was 11±5 weeks. Of the 197 patients, 112 were nonsmokers, and 85 smoked <10 cigarettes per day; alcohol intake overall was <30 g per day. No subject was involved in regular and sustained physical activity, and no subject had had changes in body weight or dietary habits for at least 4 months before the study. The study was approved by the Ethical Committee of the Department of Clinical and Biological Sciences, and all the subjects gave their informed consent.
Oral Glucose Tolerance Test
Two or 3 days after the 24-hour ambulatory BP monitoring, each
subject underwent, at 8.00 AM after an overnight fast, a
75 g oral glucose tolerance test (OGTT). Plasma glucose (G), serum
insulin (I), and C-peptide were determined before and 30, 60, 90, and
120 minutes after the glucose load. The values obtained during OGTT
have been expressed as area under the curve (AUC), measured by the
trapezoidal rule. Using insulin and glucose values at the glucose peak
(subscript p), we calculated an index of peripheral insulin
activity (Ia) based on the following formula:
Ia=104/IpGp.28
We also evaluated the fasting insulin/C-peptide ratio as an index of
hepatic insulin clearance. Serum insulin was measured by an antibody
method with a solid-phase 125I radioimmunoassay
(Coat-A-Count Insulin, Diagnostic Products Corp), as
was the C-peptide (Biodata). The method for insulin measurement has a
sensitivity of 6.6 pmol/L and a coefficient of variation of 7.1% at
insulin values of 6 to 240 pmol/L. For C-peptide determination, the
method has a sensitivity of 0.03 nmol/L and a coefficient of variation
of 3.5% at C-peptide values of 0.16 to 1.76 nmol/L.
Echocardiographic Examination
Immediately after the 24-hour BP monitoring, each subject
underwent an echocardiographic examination that was
performed by use of a Hewlett-Packard Sonos 1500 with a 2.0/2.5-MHz
transducer. LV M-mode echocardiograms were recorded under
2-dimensional control, at a paper speed of 100 mm/s, with a
simultaneous ECG. The M-mode tracings were blindly
evaluated by a single operator who digitized 4 consecutive cardiac
cycles of each echocardiogram, as originally described by Upton and
Gibson,29 by use of a Numosonic 2205 graphic tablet. An
IBM personal computer processed digitized data, averaging the 4 cardiac
cycles. We evaluated LV end-diastolic diameter,
end-diastolic thickness of interventricular
septum and posterior wall, LV mass,30 peak shortening rate
and peak lengthening rate of LV diameter, and peak thinning rate of LV
posterior wall. LV mass was normalized for height to the 2.7 power, and
LV diastolic diameter was normalized for height to the
first power, because we wanted to take into account the influence of
obesity on cardiac anatomy, an influence that is partly
overlooked when indexing for body surface area.31
The normal limits of the parameters in our laboratory have been derived from the evaluation of 200 normal adults. The reproducibility of the echocardiographic measurements has been tested on 20 normal subjects (each examined 3 times by the same ultrasonic technique); the same operator digitized 4 consecutive cardiac cycles of each echocardiogram. The coefficients of variation were as follows: LV end-diastolic diameter 0.4%, septal thickness 3.2%, posterior wall thickness 3.4%, peak shortening rate 1.1%, peak lengthening rate 4.7%, and peak thinning rate 7.3%.
Mitral inflow velocities were evaluated by pulsed-wave Doppler, with the sample volume placed at the tips of mitral leaflets, from the apical 4-chamber view. Using the average of 5 beats for the analysis, we measured the ratio between peak early transmitral flow velocity and peak late transmitral flow velocity (E/A ratio) and the deceleration time of early transmitral flow velocity (time from peak early transmitral flow velocity to the time when E-wave descent intercepted the zero line).
24-Hour Ambulatory BP Monitoring
Noninvasive ambulatory BP monitoring was performed with a
portable automated Takeda TM 2421, and a simultaneous
24-hour heart rate monitoring was obtained. The unit was set to take
readings every 15 minutes throughout the 24 hours. The following
parameters have been evaluated: mean 24-hour daytime (from
7 AM to 10 PM) and nighttime (from 10
PM to 7 AM) systolic and
diastolic BP and heart rate, along with the percent
overnight drop in systolic and diastolic BP.
Statistical Analysis
Data are expressed as mean±SD. Comparisons of lean and obese
hypertensives and of offspring of hypertensive parents and offspring of
normotensive parents were made by means of 2-factor ANOVA followed by
Scheffé tests. The Pearson linear correlation coefficient was
used to evaluate linear correlations between variables. Multiple
regression analyses were performed to identify independent
predictors of LV mass and LV diastolic function by a
stepwise procedure, with, as dependent variables, respectively, LV
mass index and peak lengthening rate of LV diameter; we used the
following as independent variables: BMI, age, 24-hour
systolic and diastolic BP, 24-hour heart rate,
fasting glucose, fasting insulin, G-AUC, I-AUC, Ia, and predisposition
to hypertension (as a dummy variable by assigning 1 to F+ and 2 to
F-); LV mass index was added as independent variable in the
analysis for diastolic function. All the
variables were normally distributed, and the variances were
homogeneous across the groups. A value of
P<0.05 was considered statistically significant.
| Results |
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LV Anatomy and Function
LV anatomy and function are shown in Table 3. LV end-diastolic diameter
was normal (<56 mm) in all the patients; LV
hypertrophy (LV mass index >50
g/m2.7 in men and >47
g/m2.7 in women), which was due to
increased (>11 mm) septal and posterior wall thickness, was found
in 14 LHF- (28%), 19 LHF+ (29.7%), 15 OHF- (37.5%), and 18 OHF+
(42%). A significant effect was observed for obesity on LV
end-diastolic diameter and LV mass index; both were greater
in obese than in lean subjects, whereas no interaction was found
between genetic predisposition to hypertension and LV anatomy.
For LV function, the peak shortening rate of LV diameter, an index of
systolic function, was normal (>1.9
s-1) in all patients and not significantly
different among the 4 groups. LV diastolic function was
impaired (peak lengthening rate of LV diameter <3.6
s-1 and/or peak wall thinning rate of LV
posterior wall <8.4 cm/s) in 17 LHF- (34%), 23 LHF+ (36%), 16 OHF-
(40%), and 22 OHF+ (51%) (Figure 1).
Significant effects were observed for obesity status and for
susceptibility to hypertension on LV diastolic function,
which was reduced in obese subjects compared with lean ones and in F+
compared with F- groups. These results did not change after adjustment
of the diastolic parameters for LV mass index
and 24-hour BP (data not shown).
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From 2-factor ANOVA, the analysis of the interaction term did not show any statistically significant interaction between the 2 independent variables (obesity and genetic predisposition to hypertension) in their effects on metabolic and cardiac parameters.
Relation Between Metabolic Parameters, LV
Mass, and Diastolic Function
When all the 197 patients are taken into consideration, multiple
regression analysis (r2=0.49,
P<0.0001) showed that the main independent predictors for
LV mass index were 24-hour systolic BP (ß=0.38,
P<0.0001) and BMI (ß=0.31, P=0.0005), whereas
metabolic parameters and predisposition to
hypertension did not enter the equation.
For LV diastolic function, from multiple regression analysis (r2=0.53, P<0.0001) the variables entering the equation as independent predictors of peak lengthening rate of LV diameter were in the following order: LV mass index (ß=-0.36, P<0.0001), I-AUC (ß=-0.33, P=0.0002), BMI (ß=-0.26, P=0.0005), and genetic predisposition to hypertension (ß=-0.24, P=0.0008). The relations of I-AUC and LV mass index with LV diastolic function have been also investigated in each of the 4 groups by means of linear correlation coefficients: I-AUC was inversely correlated with peak lengthening rate and peak wall thinning rate in the 2 F+ groups, whereas the parameters did not correlate in LHF- and OHF- groups (Figures 2 and 3, Table 4). In F+ groups, LV diastolic indices were significantly (P<0.01) more closely correlated with I-AUC than with LV mass index. We did not find any significant correlation between Doppler-derived filling parameters and insulin parameters. In addition, the elimination of the 77 patients on medication before the study did not affect the results (data not shown).
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| Discussion |
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As regards the LV, obesity was associated with greater LV mass index, whereas family history of hypertension did not influence myocardial mass. Glucose and insulin levels (fasting and during OGTT) and the peripheral insulin activity index did not correlate with LV mass index. This lack of correlation between metabolic parameters and myocardial mass is in keeping with some,14 17 18 but not all, the previous studies; some authors have found a direct correlation between insulin resistance and/or hyperinsulinemia and myocardial hypertrophy in hypertensives and in obese subjects.13 16 19 20 These conflicting results can probably be ascribed to differences in age, gender, BMI, number of subjects studied, enrollment of patients who withdrew from the therapy only a few days before the evaluation, and differences in the method of evaluation of LV mass and insulin sensitivity. From our results, insulin resistance and hyperinsulinemia do not account for the development of myocardial hypertrophy, which appears to be significantly influenced by 24-hour systolic BP and BMI. A possible relation between insulin resistance and LV diastolic dysfunction in hypertension has been evaluated in a few previous studies,14 15 18 19 with partly conflicting results: LV diastolic function appears to be negatively influenced only by increased glucose levels at fast or during load, according to some authors,14 15 18 or by insulin resistance and not by glucose levels, according to others.19 Besides measuring Doppler-derived E/A velocity ratio and the deceleration time of early transmitral flow velocity, we evaluated LV diastolic function also by means of peak lengthening rate of LV diameter and peak thinning rate of posterior wall, both obtained from digitized M-mode echocardiography. These 2 parameters, less popular than Doppler-derived diastolic indices, have been proven more accurate and specific than Doppler parameters in discriminating between normal and abnormal diastole in patients with myocardial hypertrophy.37 In agreement with previous reports,1 32 38 we found an impairment of diastolic function in many lean and obese hypertensives, whereas systolic function was normal in all and similar among the 4 groups. To the best of our knowledge, this is the first study testing the hypothesis that genetic predisposition to hypertension can influence the myocardial response to insulin, and we think that our results support this hypothesis. In fact, LV diastolic function was more impaired in the obese groups than in the lean groups, as previously found,2 but at a similar BMI, the diastolic dysfunction was significantly greater in F+ groups than in F- groups. It is well known that diastolic function is influenced by several factors, such as age, preload, LV mass, and BP load.33 38 39 However, the difference found between F+ and F- groups cannot be ascribed to differences between groups in terms of age, BMI, or 24-hour BP profile, as underlined above, or to differences in preload or LV hypertrophy, in view of the fact that LV end-diastolic diameter, index of preload, and LV mass index were similar between the 2 lean groups and between the 2 obese groups. From multiple regression analysis, in addition to LV mass index and BMI, stimulated insulinemia and genetic predisposition to hypertension were also significant predictors of LV diastolic dysfunction. However, when the 4 groups were evaluated separately, both diastolic indices were inversely correlated with stimulated insulinemia in only the 2 F+ groups, and this correlation was closer than the correlation between diastolic function and LV mass found in all 4 groups. Theoretically, because insulin stimulates collagen synthesis from fibroblasts,9 chronic hyperinsulinemia can affect LV diastolic function through an increase of myocardial interstitial fibrosis. Our results, however, indicate that high fasting and stimulated insulin levels, per se, do not account for the reduced diastolic function. In fact, if we compare LHF+ and OHF-, despite obesity and higher insulin levels in this latter group, the indices of LV diastolic function were similar between the 2 groups. Moreover, in OHF-, stimulated insulinemia and LV diastolic indices were not correlated, indicating that the correlation is not simply due to higher levels of insulinemia. Therefore, hyperinsulinemia and diastolic dysfunction appear to be related only in the presence of genetic predisposition to hypertension; this result, obtained in a small group of subjects, has to be confirmed by studies involving larger populations.
Obviously, the present study does not explore the pathophysiology of the possible link between genetic predisposition to hypertension, hyperinsulinemia, and diastolic dysfunction. However, taking into account experimental studies demonstrating that LV fibroblasts from spontaneously hypertensive rats differ from fibroblasts isolated from normotensive Wistar-Kyoto rats in many aspects, such as growth rate in culture, expression of angiotensin II receptors, structure, and steroid responsiveness,40 we could hypothesize that genetic predisposition to hypertension also influences the response of the fibroblasts to the promoting effect of insulin on collagen production, increasing interstitial collagen accumulation in the myocardial wall.
In conclusion, in untreated lean and obese hypertensives, genetic predisposition to hypertension is associated not only with a reduced insulin sensitivity but also with the response of the myocardium to increased insulin levels, inducing a greater impairment of diastolic function. On the other hand, myocardial hypertrophy, which is significantly related to 24-hour systolic BP and BMI, seems to be influenced neither by genetic predisposition to hypertension nor by insulin sensitivity.
Received February 10, 1999; first decision March 31, 1999; accepted August 4, 1999.
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