(Hypertension. 2000;35:710.)
© 2000 American Heart Association, Inc.
Scientific Contributions |
From the Department of Hypertension (M.G., A.V., M.A., P.C., X.J.), Centre dInvestigation Clinique 9201 AP-HP/INSERM, Hôpital Broussais, and INSERM U36, College de France, Paris, France; Department of Medicine (S.C.H., P.N.H.), University of Utah, Salt Lake City; and Endocrine-Hypertension Division (N.D.L.F., G.H.W.), Department of Medicine, Brigham and Womens Hospital and Harvard Medical School, Boston, Mass.
Correspondence to Dr Xavier Jeunemaitre, INSERM U 36, College de France, 3 rue dUlm, 75005 Paris, France. E-mail xavier.jeunemaitre{at}brs.ap-hop-paris.fr
| Abstract |
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=0.35,
P<0.008 in brother-brother pairs). We conclude that
age, gender, and plasma renin are strong determinants of the
aldosterone response to Ang II, with strong sibling
correlations in men and postmenopausal women. These relationships will
have to be considered in future linkage and association studies.
Key Words: hypertension, arterial genetics renin-angiotensin system aldosterone age gender
| Introduction |
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An alternative strategy is to subdivide the hypertensive population into more homogeneous subgroups that share a distinct and heritable clinical phenotype. Such a trait, or "intermediate phenotype," should reflect a more homogeneous genetic subset of the hypertensive population and facilitate genetic analysis.4 Nonmodulation of adrenal and renal vascular responses to stimulation with angiotensin (Ang) II is one such intermediate phenotype. It is characterized by an attenuated adrenal response of aldosterone secretion to the infusion of Ang II when the subject has been placed on a low-salt diet.5 This response is closely correlated with the fall in renal plasma flow in response to a similar Ang II infusion when the subject is on a high-salt diet.6 Thus, salt intake fails to modulate target tissue responsiveness to Ang II in individuals defined as nonmodulators, resulting in salt balance occurring at a higher total body salt concentration and an increased prevalence of salt-sensitive hypertension.
Arguments for a genetic heritability of nonmodulation are the bimodality of the trait and significant familial aggregation of nonmodulation.7 However, little is known about the physiological parameters responsible for the trait. The objectives of the present study were to determine the parameters that influence the plasma aldosterone response to Ang II infusion and to assess the importance of the familial resemblance of this intermediate phenotype in hypertensive sibling pairs. Age, gender, and plasma renin were the strong determinants of the aldosterone response to Ang II, particularly in women, in whom age and menopause seem to play a crucial role. Strong sibling correlations were found as soon as subjects were classified according to gender and menopause, which suggests genetic influences of the trait.
| Methods |
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2 hypertensive siblings who satisfied the
following criteria were considered for entry into the study: (1) age of
18 to 65 years; (2) hypertension defined as a diastolic
blood pressure of >100 mm Hg off all medications, >90
mm Hg on 1 antihypertensive agent, or the need for
2
antihypertensive medications at the time of the screening; and (3) no
secondary or malignant form of hypertension. Other exclusion criteria
included diabetes mellitus, substantial obesity (body mass index of
>31 kg/m2), cardiac failure, acute myocardial
infarction within the past 6 months, impaired renal function, or any
other significant medical problem. Menopause was defined as a positive
history of amenorrhea of >1 year or the presence of hormonal
replacement therapy. Women with menstrual irregularities were defined
as nonmenopausal. Individuals were classified as having a low
renin level if plasma renin activity (PRA) for the subject on a
low-salt diet and in the upright position was
2.4 ng ·
mL-1 · h-1. The
remaining subjects were classified as nonmodulators if the Ang
IIinduced aldosterone increase was
15 ng/dL (<416
pmol/L) and as modulators if the increase was more than 15
ng/dL.5 The study was approved by the human subjects
committee at each center, and all patients provided informed written
consent before enrollment. To avoid sibship size discrepancies, no more
than 3 sibs from each sibship participated in the study.
Study Protocol
All patients discontinued antihypertensive therapy for
4 weeks
before the study began. A calcium channel blocker was administered if
the diastolic blood pressure rose to >115 mm Hg, but
it was stopped at least 1 week before the first evaluation. Patients
with a diastolic blood pressure of >120 mm Hg were
excluded. The first evaluation was performed after 1 week on a
high-salt diet (200 mmol NaCl/d) and will be reported elsewhere.
Patients were then placed on an isocaloric low-salt diet for 7 days (10
mEq sodium, 100 mEq potassium, and 800 mg calcium daily).5
The patients entered the clinical research unit the day before
undergoing Ang II infusion, and their low-salt balance was checked with
a 24-hour urine collection (natriuresis <30 mmol/d).
All subjects remained in the lying position for
6 hours before the
test. A venous catheter was inserted in the arm opposite that arm
receiving the Ang II infusion at 7:00 AM, and blood
pressure was measured every 3 minutes with a Dinamap blood pressure
monitor (Critikon, Inc). Three blood samples were taken at 8:00
AM (baseline levels), and an Ang II (Hypertensin; Ciba)
infusion was started. A dosage of 1 ng ·
kg-1 · min-1 was
administered for 10 minutes to recognize any marked blood pressure
rise. This infusion was maintained at this level for 30 minutes in 2
patients because their diastolic blood pressure rose to
115 mm Hg. The rate of infusion was increased to 3 ng ·
kg-1 · min-1 for
30 minutes in the other patients. Blood samples were taken 3 times (5
minutes apart) at the end of the infusion, and the average of these
measurements was used as the stimulated level.
Biological Measurements
Blood samples were taken with a venous catheter located in the
arm opposite the arm receiving the infusion. Urine was stored at
-20°C without preservatives or additives, until assay. Serum or
plasma was separated from venous blood and stored at -20°C. Frozen
samples were sent to a research laboratory in Boston. Sodium and
potassium were measured through direct potentiometry with an
ion-selective electrode (NOVA Analyzer 1; Nova Biochemical).
Aldosterone was measured with a commercial radioimmunoassay
kit (Instar Corp). Total and active renin levels were measured
with a commercial radioimmunoassay kit (Nichols Institute
Diagnostics). For active renin, the intra-assay coefficient
variation (CV) ranged from 4% to 8%, with an interassay CV of 7% to
12%. Similar CVs were observed for total renin. Plasma prorenin was
calculated as the difference between total and active renin levels. PRA
was measured as previously reported.8
Statistical Analysis
All information (demographic, clinical, biological, and genetic)
was entered into a database for statistical analysis. For
descriptions of patient characteristics, we used mean and SD values for
continuous variables and counts and percentages for discrete
variables. Normality was checked for each variable, and
log-transformation was used when appropriate (ie, plasma renin levels).
Ang IIinduced changes in blood pressure and plasma hormone changes
from baseline were tested for significance with Students t
test for paired values. These calculations were performed with Statview
5.0 software (Abacus Concepts Inc).
Univariate analyses were used to search for parameters that influence plasma aldosterone at baseline or during Ang II stimulation, with generalized linear model regression techniques, and the results are expressed as correlation coefficients through the use of SAS 6.12 statistical package (SAS Institute). Significant factors were then considered to be covariates when the sibling correlations were analyzed. Intraclass sibling correlations were used to estimate familial association.9 Estimates were calculated with the double pairwise method with equal weighting on sibship size through the use of the S.A.G.E. statistical package.10 This method does not rely on any distributional assumption or on the sib order in the sibships. It yields the same results as maximum likelihood estimates for a constant sibship size. To indicate a statistical significance, we assumed that the z-transform of the correlation coefficient had a normal distribution (Dr R. Elston, personal communication). Kappa coefficients were used to estimate the concordance of the modulation nonmodulation phenotype between hypertensive siblings. An inferior 95% confidence limit of >0 indicates a significant concordance.
| Results |
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2 hypertensive subjects in the sibship, hypertension had
been discovered in patients before the age of 50 years (mean 38.7±10.7
years). Their average blood pressure at entry into the protocol was
146.3±22.0/91.4±12.4 mm Hg.
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All patients completed a 1-week low-salt diet (urinary sodium 15±7 mmol/24 h). The Ang II infusion (3 ng · kg-1 · min-1) increased the systolic blood pressure by 17.1% (23.6 mm Hg) and the diastolic blood pressure by 15.6% (12.8 mm Hg) similarly in men and women. Plasma aldosterone was increased 2.2-fold, and active renin decreased by 23% (Table 2), but there was no significant change in prorenin during this short period of time. The slight fall in the cortisol level was about what was expected due to circadian rhythm; the blood samples for basal values were taken at 8:00 AM, and after the infusion, samples were taken 45 minutes later.
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The mean value of the Ang IIinduced aldosterone increase was higher in women than in men (29.1±16.2 versus 18.2±9.6 ng/dL, P<0.0001). An obvious difference was observed in the distribution of the trait, which was much wider in women than in men (Figure 1).
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Influence of Gender and Renin on the Aldosterone
Response to Ang II
We first tested whether the Ang IIinduced increase in plasma
aldosterone was related to any of the classic clinical or
biological parameters. Low-salt baseline and Ang
IIstimulated plasma aldosterone levels were significantly
correlated (r=0.66,
P<10-4). Systematic
univariate regression analysis showed significant
relationships with age, basal PRA, and plasma potassium
(r=-0.20, P<0.01) but no relation with body
mass index (r=0.03, NS) or creatinine clearance
(r=0.12, P=0.25). No relation was observed with
urinary sodium excretion, probably due to the very strict low-salt diet
and, consequently, the very short range of this parameter
(3 to 35 mmol/24 h). The relationship with plasma potassium was
not gender dependent and was no longer significant in a
multivariate regression analysis. The
relationships with age and renin were markedly different in men and
women. There was a highly significant negative correlation between
plasma aldosterone increase and age in women
(r=0.52, P<0.0001) but not in men
(r=0.09, NS) (Figure 2). The
hypertensive women <50 years old had a much higher response
(30.3±16.2 ng/dL; n=57) than did those >50 years old (21.0±14.4
ng/dL, P=0.006; n=36) or the men (18.4±9.5 ng/dL,
P<0.0001; n=105). The aldosterone response to
Ang II in the 11 women receiving oral contraceptive treatment
(42.3±15.4 ng/dL) was not significantly different from that observed
in the nonmenopausal women (35.1±17.8 ng/dL, P=0.27;
n=33).
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A significant and positive correlation was observed between basal PRA and the increase in plasma aldosterone only in women, not in men (Figure 3), whereas basal PRA was significantly related to basal plasma aldosterone levels in both men (r=0.446, P<0.0001) and women (r=0.397, P<0.0001). Similar results were observed with plasma active renin (not shown). After adjustment for age, PRA was still related to the aldosterone response in women (r=0.27, P<0.03) and not in men (r=0.07, NS).
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We suspected that menopausal status could play a role in this particular age, renin, and gender interaction. As shown in Table 3, and despite almost identical plasma renin levels, postmenopausal women had the same adrenal response as men, which was about half of that observed in nonmenopausal women. Interestingly, this effect was not reversed in women receiving estrogen-based replacement therapy (22.1±11.3 ng/dL, n=20) compared with those without such therapy (22.0±13.2 ng/dL, NS; n=22). However, in a multiple stepwise regression analysis, only age (P<10-4), gender (P<10-4), PRA (P=0.07), and the interactions between gender and age (P<10-3) and between gender and PRA (P<0.01) were independent and significant contributors that accounted for 34% of the variance of the Ang IIinduced aldosterone response.
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Sibling Correlations
By evaluating sibling correlations for the age- and
gender-adjusted increase in aldosterone, giving equal
weight to sibships, we estimated the familial component of the adrenal
response to Ang II and the transmission of the trait. Table 4 shows the sibling correlations for
aldosterone response, which were assessed with both the
SIBPAL and generalized linear model (GLM) programs. Similar results
were obtained when the analyses were carried out separately for
each center (data not shown). Weak correlations of the
aldosterone response to Ang II were observed for the whole
set of sibling pairs (r=0.11, NS); however, a strong
influence of gender was observed with either the crude or the
age-adjusted variable. Significant correlations were observed among
brother-brother pairs, suggesting a familial component only in men.
When the sister-sister pairs were separated according to menopause
status, strong correlations were observed among the few postmenopausal
pairs (r=0.70, n=7). Almost similar levels of concordance
were observed if low-renin hypertension was defined as PRA of <2.0
ng · mL-1 ·
h-1 or <1.5 mg ·
mL-1 · h-1 (data
not shown). However, it became nonsignificant if patients were grouped
into only 2 groups (modulators compared with nonmodulators and
low-renin hypertensives as the second group).
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The gender-dependent resemblance of the trait was confirmed when
patients were classified as low renin (n=50), modulators (n=105), or
nonmodulators (n=46). There was a significant concordance for this
classification on the overall set of siblings (weighted
=0.25±0.07,
P<0.001, Table 5). It was
increased in the group of brother-brother pairs (
=0.35±0.14,
P=0.008) but not in that of sister-sister (0.33±0.17,
P=0.10) or brother-sister (0.12±0.10, P=0.24)
pairs. A significant concordance was also observed on the overall set
of siblings when only men and postmenopausal women were considered
(0.31±0.10, P=0.001).
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| Discussion |
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Our first objective was to better define several characteristics of the aldosterone response to Ang II infusion as an intermediate phenotype. A strong and negative relationship was observed between age and this phenotype in women, but no such relation was observed in men. This interaction between age and gender was not initially reported, because most of the first studies describing the nonmodulation phenotype have dealt with normotensive and hypertensive men.4 However, it was found in a recent study of 225 hypertensive patients (age 18 to 66 years) by Fisher et al11 that nonmodulation was strikingly less frequent among the 70 women (26%) than among the 155 men (49%, P=0.001). In this study, the women >55 years old reached a 47% nonmodulation frequency, equal to that observed in men. Our results are in complete agreement with these findings. Both studies show that age is a very significant contributing factor to the aldosterone response to Ang II in women but not in men.
Plasma renin level was the third main predictor of the aldosterone response to Ang II, in interaction with gender and age. A strong difference was observed when hypertensive women were separated according to their age or menopause status. Similar results were obtained when we considered the information on familial clusters with the use of estimating equations (data not shown). The impact of gender was also found in a series of 48 healthy men and women who were tested for renal response to Ang II.12 The decrease in female gender hormones with age is the main physiological change that parallels the changes in this phenotype. Lack of estrogens could act via increased peripheral resistance13 or changes in the renin-angiotensin system, or both. Plasma renin levels tend to decrease with age in normal subjects and have been found repeatedly to be lower in women than in men.14 A recent population survey showed that the average prorenin and renin levels in men were 50% and 30% higher than those in women, and younger women had lower prorenin levels than older women.15 Like the present study, that study found that plasma renin levels correlated with plasma aldosterone, reflecting the stimulation of aldosterone release by Ang II. Interestingly, an altered adrenal sensitivity to Ang II was recently demonstrated in patients with low-renin essential hypertension.16 Thus, despite different responses in renin secretion in patients in the upright position, striking similarities are observed between hypertensive patients classified as low renin or nonmodulators.17 This blunted aldosterone response to Ang II infusion in both syndromes may reflect the decrease of aldosterone synthesis, possibly through angiotensin receptor downregulation.18 19 Estrogens have also been found to modify the Ang II receptor density in the adrenal cortex.20
Our second objective was to test the familial resemblance of the adrenal response to Ang II in a large set of white hypertensive sibling pairs. Several studies that show an association between nonmodulation and a positive family history of hypertension have suggested that this trait could be genetically determined.21 22 23 However, this association was recently disputed in a population-based sample of adults aged 20 to 50 years who participated in the Rochester Family Heart Study.24 Conversely, the study of 31 hypertensive siblings from 14 Utah sibships demonstrated a high degree of concordance for the nonmodulation phenotype based on the renal blood flow response to Ang II.7 We used the aldosterone response to Ang II as a quantitative trait and a large series of white hypertensive siblings who followed the same protocol in 3 centers. Compared with the qualitative trait, this strategy gives more power, allows the familial correlations to be weighted according to sibship size, and prevents the possible bias due to the selection of arbitrary thresholds used to stratify patients into low renin, modulators, and nonmodulators. Two statistical tests showed significant sibling correlations between the unadjusted and the age-adjusted values for aldosterone increase but only in hypertensive brothers. The absence of an overall relationship between sister-sister and sister-brother pairs is likely a reflection of the effect of age and hormonal status on the trait, as confirmed by the concordance of the modulation phenotype, which is significant only in men and older women. We could not further test the inheritance pattern of the aldosterone response to Ang II because it requires a large representative population of siblings for accurate conclusions to be reached on the respective contribution of genes and environment to the transmission of the trait.25
In conclusion, the results of the present study confirm the familial resemblance of the aldosterone response to Ang II analyzed as both a quantitative and a qualitative trait in hypertensive sibling pairs. It also highlights the importance of age, gender, and plasma renin levels in determination of this intermediate phenotype. These relationships will have to be considered in future linkage and association studies.
| Acknowledgments |
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Received August 3, 1999; first decision August 27, 1999; accepted October 25, 1999.
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