(Hypertension. 2001;37:898.)
© 2001 American Heart Association, Inc.
Scientific Contribution |
Presented in abstract form at the Council for High Blood Pressure Research of the American Heart Association, Autumn 1998.
From the Department of Medicine and Center for Molecular Genetics, University of California at San Diego; and VA San Diego Healthcare System, San Diego, Calif.
Correspondence to Daniel T. OConnor, MD, Department of Medicine and Center for Molecular Genetics, University of California, San Diego (9111H), 3350 La Jolla Village Dr, San Diego, CA 92161. E-mail doconnor{at}ucsd.edu, Website http://medicine.ucsd.edu/hypertension
| Abstract |
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45% of the variance in GFR response. Decline in
FELi+, an inverse index of proximal tubular
reabsorption, paralleled increase in GFR
(r=-0.506,
P=0.01), suggesting differences
in proximal tubular reabsorption during amino acids between the FH
groups. GFR response to amino acid infusion was blunted in the FH+
group despite significantly higher serum concentrations of 6 amino
acids (arginine, isoleucine, leucine, methionine,
phenylalanine, and valine) in the FH+ group, suggesting a novel form of
insulin resistance (to the amino acidtranslocating action of insulin)
in FH+ subjects. We conclude that blunted glomerular
filtration reserve in response to amino acids is an early-penetrance
phenotype seen even in still-normotensive subjects at genetic
risk of hypertension and is linked to impaired formation of NO· in
the kidney. Corresponding changes in GFR and fractional excretion of
Li+ suggest that altered proximal tubular
reabsorption after amino acids is an early pathophysiologic mechanism.
Resistance to the amino acidtranslocating actions of insulin may play
a role in the biological response to amino acids in this setting. This
glomerular reserve phenotype may be useful in
genetic studies of renal traits preceding or predisposing to
hypertension.
Key Words: hypertension, essential genetics glomerular filtration rate kidney
| Introduction |
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30% to
70%.1 2
However, hypertension is an etiologically "complex
trait,"3 with both genetic
and environmental determinants. Lack of bimodality of blood pressure
frequency distribution in the population suggests that its hereditary
determination is also complex and nonmendelian and perhaps
polygenic.3 Indeed, allelic
variation at several genetic loci is reportedly linked to or associated
with common hypertension in the
population.4 The phenotype of elevated blood pressure has delayed penetrance, typically occurring in the fourth, fifth, or sixth decades of life.1 Thus, phenotypes with earlier penetrance ("intermediate phenotypes") are desirable in better understanding early, perhaps pathophysiological, alterations in the course of hypertension.5 6 7 Such early-penetrance phenotypes may also be valuable in genetic analyses of hereditary predisposition to hypertension.5 6 7
The glomerular filtration increment in response to amino acids, or "renal functional reserve," is a general phenomenon in mammals that occurs in species ranging from rodents to humans.8 Patients with established essential hypertension display diminished renal functional reserve,9 but the glomerular response to amino acids is less well studied in normotensive persons at genetic risk of hypertension,10 and the mechanisms of the altered renal response to amino acid infusion in hypertension are not clearly established.9 One of the proposed mediators of the amino acidinduced renal vasodilation is nitric oxide (NO·),11 formed by the action of the enzyme NO synthase (NOS) on its substrate arginine12 ; hence, the link between renal functional reserve and amino acid infusion in general and to arginine in particular.
Because the kidney is a crucial determinant of blood pressure,13 this study focused on early renal alterations in still-normotensive young subjects stratified by family history (genetic risk) of hypertension.7 14 We therefore hypothesized that impaired renal functional reserve is an intermediate, early-penetrance phenotype in essential hypertension.5 6 7
| Methods |
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Amino Acid Infusion and Renal Clearance
Protocol
Subjects ingested 600 mg (16.2 mmol) lithium
carbonate16 by mouth at 10
PM on the night before the
test and then fasted after midnight. Two intravenous access
sites were placed (right and left forearms: 1 for infusions and the
other for blood sampling), and an oral water load of 1500 mL was given
(to increase urine output and thereby improve accuracy of clearance
measurements).
Renal clearance of inulin (Cypros Pharmaceutical Corporation) was used to measure glomerular filtration rate (GFR). After an initial intravenous bolus of 1.4 g inulin, a continuous infusion of inulin was started at 1 mL/min (1 g/100 mL in half-normal saline; ie, 10 mg/min) for 180 minutes.17 One hour after the start of the inulin infusion, the subjects voided and urine was discarded, before the baseline clearance period. In the next 30-minute (baseline) period, blood was drawn for measurement of blood urea nitrogen, creatinine, electrolytes, lithium, amino acids, inulin, glucose, and insulin, and a timed urine test was collected for measurement of creatinine, electrolytes, lithium, inulin, nitrate/nitrite (as an index of NO production), and cGMP.
During the next 30 minutes, subjects received an intravenous infusion of mixed amino acids without electrolytes (Travasol 10% amino acids at pH 6.0; Baxter-Travenol) at a rate of 0.043 mL · kg-1 · min-1, and an acute urine collection allowed measurement of creatinine, urea, sodium, potassium, chloride, lithium, nitrate/nitrite, and inulin. At the midpoint of the amino acid infusion (15 minutes), the blood collection was repeated; at the end of the amino acid infusion, the timed (30 minute) urine collection was repeated.
Assays
Electrolytes, lithium, urea, and
creatinine were measured spectrophotometrically with an
autoanalyzer. Inulin was measured according to the
alkali-stable spectrophotometric method, as we previously
described.17 Urinary cGMP
was measured with radioimmunoassay (DuPont-New England Nuclear). To
measure urinary nitrate/nitrite (NOx), nitrate
(NO3) was first converted to nitrite
(NO2) with
Escherichia coli nitrate
reductase in vitro18 ;
nitrite was then measured with the Griess spectrophotometric reaction
(monitoring absorbance at 546
nm).19 After perchloric acid
precipitation of serum proteins, amino acids in the supernatant were
measured with a Beckman amino acid
analyzer.20
Solute (x) excretions into the urine were normalized to time
(x/min), as well as to body surface area (1.73
m2 unit body surface area) to account for
interindividual differences in body size. Renal clearance
(Cx) of a solute (x) was computed as
Cx=UxV/Px,
where Cx is clearance of x,
Ux is urine concentration of x, V is urine
volume (for that time period), and Px is plasma
concentration of x; for example,
Cinulin=UinulinV/Pinulin.
Renal clearance values were normalized to standardized body surface
area (1.73 m2) as an index of body size.
Fractional excretion (FEx) of a solute (x), in
percent, was computed
as:
![]() |
Statistics
Continuous variables (eg, GFR) are reported as
the mean±1 SEM value. Dichotomous variables (eg, gender) are
reported as proportions. Differences or changes in continuous
variables were evaluated by nonparametric tests: the
Mann-Whitney U test was used
for intergroup differences, and the Wilcoxon signed rank test
was used for changes in the same group under 2 circumstances.
Differences in dichotomous traits (proportions) were evaluated by
2 test. Nonparametric simple
(bivariate) correlations were computed by the Spearman rank-order
method. Two-tailed tests were typically used. Sequential changes were
evaluated by 2-way repeated measures ANOVA, with factoring for effects
of group (family history), time (baseline versus amino acid infusion),
and groupxtime interaction. When data were not normally distributed,
ANOVAs were conducted on log10-transformed data.
Multivariate analyses (specifying several
independent variables with 1 dependent variable) were conducted
by stepwise multiple linear regression, with
criteria for inclusion
(
<0.1) or exclusion (
>0.1) of an independent variable in
the final model. Frequency histograms were created in Microsoft Excel.
Bimodality (or mixture of distributions) was evaluated by the maximum
likelihood program ADMIX.6
Variances were compared by Levenes
F test. Analyses were
performed with the software packages SPSS (Statistical Package for the
Social Sciences), Microsoft Excel, InStat (GraphPAD Software),
StatWorks and CricketGraph (Cricket Software), or
Systat.
| Results |
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Physiological
Diastolic and mean blood pressures were
similar, but the FH+ group had higher systolic blood pressure
(by 9 mm Hg, P=0.049;
Table 1), although at 123±2.3 mm Hg, the FH+ value
was well within customary limits for normal systolic blood
pressure.1 Baseline
creatinine clearance was
25% higher in the FH+ group
(P=0.014), reminiscent of
previous findings on early elevation in GFR in subjects at genetic risk
of hypertension,21 although
baseline inulin clearances did not achieve a statistically significant
difference
(P=0.150).
Biochemical
Blood urea nitrogen, serum creatinine and
electrolytes, serum glucose, arginine, and insulin values were similar
at baseline, as was urinary sodium excretion (all
P>0.05). Fractional excretion
of sodium
(FENa+)
(P=0.004) was lower in the FH+
subjects, likely because baseline hyperfiltration in the FH+ subjects
(see Ccreatinine,
Table 1) coupled with similar sodium excretion rate
obligates a lower
FENa+
to achieve balance at steady state. At baseline, the FH groups had
similar fractional excretion of lithium
(FELi+)
(P=0.229) and renal excretion
of NO metabolites (P=0.546),
although the FH+ subjects had
55% lower cGMP excretion
(P=0.001).
Changes in Physiological
Variables (Including GFR) During Amino Acid Infusion
FH+ subjects had substantial (
92% overall,
P=0.0126) blunting of the
Cinulin increment in response to amino acids
(Table 2).
Figure 1 shows the Cinulin responses
graphically, with 2-way (by FH+ versus FH-) repeated measures (by
before and after amino acids) ANOVA
(Table 3): amino acid infusion elevated
Cinulin overall (time effect,
P=0.028), with an interaction
(P=0.014) between FH category
and time (infusion).
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Similar directional differences after amino acids between FH groups were seen in Ccreatinine (Tables 2 and 3), although these differences did not achieve statistical significance (P=0.060 to 0.069).
Changes in Biochemical Variables During
Amino Acid Infusion
Electrolytes
The fall in FENa+ was greater in
FH- subjects (P=0.025,
Table 2). By 2-way repeated measures ANOVA
(Table 3), FENa+ was influenced by
both family history (P=0.011)
and amino acid infusion
(P<0.001), and the amino acid
effect was more pronounced in FH- subjects
(P=0.025). During amino acid
infusion, FELi+ did not differ systematically
between the FH groups
(Tables 2 and 3.). Change in urinary microalbumin
excretion did not differ between the FH groups
(Tables 2 and 3).
Mediators of Renal Hemodynamic
Changes
There was a substantially greater increment in urinary
NO· metabolite excretion in the FH- group
(P=0.0105,
Table 2), and 2-way repeated measures ANOVA
(Table 3,
Figure 2) showed a significant interaction between family
history and the amino acid effect on NOx
excretion (P=0.005). Change in
GFR correlated with change in urinary NOx
excretion (r=0.786,
P<0.001). Although urinary
cGMP excretion differed substantially between the FH groups throughout
the study (P<0.001,
Table 3), it did not change acutely in response to amino
acid infusion
(P=0.703).
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Amino Acids, Insulin, and Glucose
During amino acid infusion, serum arginine
concentration rose substantially higher in the FH+ subjects
(P=0.0008,
Table 2), even though the FH groups received identical
amino acid infusion doses, standardized to kilograms of body weight
(see Methods), and their body weights were similar
(Table 1). By ANOVA
(Table 3,
Figure 3), not only did amino acid infusion increase serum
arginine (P<0.001), but also
arginine concentration was consistently higher in the FH+ group
(P=0.01) and the FH+ group had
a greater arginine increment during amino acid infusion
(P=0.003).
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The ratio of the NOS substrate arginine to the NOS product NO · metabolites NO2 and NO3 (arginine/NOx) rose far higher in FH+ than in FH- subjects during amino acid infusion (P=0.002, Table 2 and Figure 4). By ANOVA (Table 3), the ratio rose overall during amino acid infusion (P<0.001) but far more in FH+ subjects (P=0.003).
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The plasma concentration of each of the natural amino acids rose substantially during amino acid infusion (P<0.001; time effect on ANOVA); 2- to 3-fold increments were noted for each amino acid. Although the FH groups received identical amino acid infusion doses (standardized to kilograms of body weight), the FH+ subjects had higher overall serum concentrations of 6 amino acids (arginine [P=0.01], isoleucine [P=0.023], leucine [0.014], methionine [P=0.014], phenylalanine [P=0.014], and valine [P=0.031]) and showed greater increments in the plasma concentration of 3 amino acids during infusion (FHxtime effect on ANOVA), including not only arginine (P=0.004) but also methionine (P=0.014) and phenylalanine (P=0.014).
The FH groups did not differ in amino acid effects on serum glucose or insulin (Table 2). The amino acid infusion caused an overall (time effect on ANOVA; Table 3) increase in serum insulin (P<0.001). Despite the rise in serum insulin and the lack of glucose in the intravenous infusate, serum glucose rose during the amino acid infusion (P<0.001); stimulation of glucagon release by amino acids (especially arginine and alanine)22 may contribute to the rise in glucose in this setting. Indeed, serum glucose was greater in FH+ subjects during the entire study period (P=0.049, Table 3).
Predictors of Amino AcidInduced Change in
GFR
We evaluated whether any of 14 likely independent
variables at baseline (demographic/physical [FH, age, gender, body
mass index], physiological [mean
arterial pressure, Cinulin], or
biochemical [serum insulin, serum glucose, serum arginine,
FENa+,
FELi+,
urinary sodium excretion, urinary cGMP excretion, urinary
NOx excretion]) could predict a change in GFR
(Cinulin) during amino acid infusion. Although
this 14-variable model was not significant
(F=2.06,
P=0.109), stepwise regression
produced a significant (multiple
R=0.670,
F=7.04,
P=0.0013) model in which 3
independent variables (FH, baseline Cinulin,
and baseline serum insulin) predicted
45% (adjusted
R2=0.449)
of the variance in GFR response to amino acids; of these 3 independent
variables, the most significant were hypertension FH
(T=2.48, P=0.019) and
baseline Cinulin (T=-2.70,
P=0.012). In simple (bivariate)
analyses, change in GFR correlated with initial inulin
clearance (r=-0.488, n=39,
P=0.002), serum insulin
(r=-0.338, n=38,
P=0.038), and FH
(r=0.435, n=39,
P=0.006).
Thus, a positive family history for hypertension and higher initial GFR and serum insulin each predicts a blunted GFR response to amino acids.
Covariates (Correlates) of Amino AcidInduced
Change in GFR
We also evaluated whether amino acidinduced change in
several biochemical independent variables (urinary cGMP excretion,
urinary NOx excretion, serum insulin, serum
arginine,
FELi+,
or
FENa+)
correlated with change in GFR (Cinulin) during
amino acid infusion. Stepwise regression created a significant model
(multiple R=0.803, adjusted
R2=0.610,
F=18.2,
P<0.0001) in which change in
urinary NOx excretion (T=4.24,
P=0.0004) and change in
FELi+
(T=-2.10, P=0.049) jointly
predicted
61% of the GFR response to amino acids. On simple
(bivariate) analyses, change in GFR correlated with change in
both urinary NOx excretion
(r=0.786, n=29,
P<0.001) and
FELi+
(r=-0.506, n=29,
P=0.01). Thus, the amino
acidinduced increment in GFR correlated with both an increment in
urinary NOx excretion and a decrement in
FELi+.
Change in GFR: Variance, Frequency
Distribution, and Maximum Likelihood Analysis for
Modality
By maximum likelihood analysis, the change in
GFR in these 39 subjects after amino acids best fit a model of 2
distributions rather than 1 distribution
(
2=29.6, 4 degrees of
freedom, P<0.001), and a model
of three distributions was not superior
(
2=0.474, 2
df,
P=0.78).
A frequency histogram of the GFR responses in the 2 FH groups (plot not shown) revealed a clear shift in peak frequency between the FH- (peak at 0% to 25% change) and FH+ (peak at 25% to 50% change) groups; however, the FH+ group did not display clear-cut evidence of bimodality in GFR response, and the variance (SD2) of GFR response to amino acids did not differ in the FH+ and FH- groups (Fmax=0.365, P=0.964).
| Discussion |
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Here, we investigated renal functional reserve in young
(average age
30 years) normotensive adults stratified by genetic
risk (family history) of hypertension and explored potential mechanisms
underlying group differences. In confirmation of the observations of
Grunfeld et al,10 we found
that renal functional reserve was already blunted in still-normotensive
subjects at genetic risk of hypertension. Of note, FH+ subjects had
somewhat higher GFR values at baseline when measured by
Ccreatinine (by
25%,
P=0.014) although not when
measured by Cinulin
(P=0.150); early elevation in
GFR in normotensive subjects at genetic risk of hypertension has been
observed previously22 and
may in itself represent a form of hyperfiltration even in the
absence of an exogenous amino acid challenge. Indeed, in a
multivariate analysis of baseline predictors of
renal functional reserve in this study, not only hypertension family
history status (T=2.48,
P=0.020) but also baseline GFR
(as Cinulin; T=-2.70,
P=0.012) were significant
predictors of the GFR increment in response to amino acids, with higher
baseline GFR predicting smaller GFR response. Perhaps subjects with
higher initial GFR values cannot respond with full increments in GFR
after amino acids, because their GFR values are already closer to a
putative "ceiling" for the amino acid effect.
Thus, blunted renal functional reserve after amino acid
infusion is an early-penetrance
phenotype5 6 7
in the course of development of human genetic hypertension, because it
is already found even in the still-normotensive offspring (FH+) of
essential hypertensives. The early appearance of this phenotype
in still-normotensive FH+ subjects suggests a
pathophysiological role for this renal
phenotype in the later development of hypertension, rather than
simply a late response to high blood pressure. Indeed, the FH+ subjects
displayed baseline GFR values well within normal limits, although their
baseline microalbumin excretion rates were already higher than
those of FH- controls. A decline in renal functional reserve in the
FH+ group was heterogeneous in frequency distribution,
although not clearly bimodal on inspection of the histogram (plot not
shown), weighing against a major gene (or mendelian) effect on this
phenotype.7
Nevertheless, discrete subgroups may have contributed to the FH
difference in GFR response, because on maximum likelihood
analysis, the response best fit a model of 2 response
distributions rather than 1
(
2=29.6,
P<0.001). It should be noted
that familial resemblance (in FH+ subjects) does not necessarily
indicate gene action, because families may share and transmit
environmental and behavioral
factors1 2 3 ;
nonetheless, we did study these individuals under controlled
conditions, and the demographic and physical characteristics of the FH
groups were similar.
What mediated the changes in GFR after amino acids in this study, and why were the GFR responses blunted in the FH+ subjects? One proposed explanation for the effect of amino acids on GFR is that the NOS substrate arginine is converted to NO·, thereby activating guanylyl cyclase and resulting in afferent and efferent arteriolar vasodilation and increases in nephron plasma flow that elevate GFR. Amino acid infusion caused a greater increase in the renal excretion of nitrate/nitrite (NOx, an index of NO· production) in the FH- subjects (P=0.0105), and a change in NOx excretion correlated with a change in GFR (r=0.786, P<0.001). However, in our subjects, neither the FH+ nor the FH- group experienced an increase in cGMP excretion during the amino acid load (Tables 2 and 3; thus, the arginine-NOS-NO· -cGMP pathway cannot be easily invoked to explain our findings and other vasoactive mediators may be involved.8
A decline in FELi+ correlated with increase in GFR after amino acids (r=-0.56, P=0.004). Because FELi+ inversely estimates renal proximal tubular avidity for sodium,23 this inverse correlation suggests that increased GFR was coupled to increased renal proximal tubular sodium reabsorption, maintaining glomerulotubular balance. In the FH+ subjects, increases in FELi+ characterized the absence of a vasodilatory response to amino acid infusion, suggesting a reduction in proximal tubular reabsorption during the amino acid infusion in these individuals. The reduction in proximal tubular reabsorption in FH+ individuals (Table 2) is reminiscent of the decrease in proximal reabsorption observed in experimental animals with no vasodilatory response to glycine infusion.11 24 Studies in experimental animals11 have demonstrated that increases in nephron filtration rate during glycine infusion are associated with increases in proximal tubular reabsorption such that glomerulotubular balance is maintained, a finding similar to that observed in FH- individuals in this study. In contrast, reductions in proximal tubular reabsorption during glycine administration characterize the conditions associated with absence of a vasodilatory response.11 24 The reduction in proximal tubular reabsorption during glycine is likely to activate the tubuloglomerular feedback system by increasing distal delivery of sodium chloride.25 Activation of this system in turn limits glomerular arteriolar vasodilation and the increase in nephron filtration rate. Therefore, one could postulate that reduced proximal tubular transport in FH+ may constitute an early penetrance phenotype whose expression can be unmasked by an amino acid infusion. The mechanism responsible for the reduction in proximal reabsorption in the FH+ remains to be defined.
Another unexpected finding in this study was the difference in plasma amino acids levels displayed by FH+ individuals compared with FH- individuals (Tables 2 and 3, Figure 2). During the amino acid infusion, FH+ subjects displayed greater increments (FHxtime effect) in serum arginine, methionine, and phenylalanine even though the same amino acid dose was administered to each individual (per kg body wt). Thus, the FH+ subjects experienced even greater serum amino acid stimuli to hyperfiltration, excluding a simple pharmacokinetic explanation for blunted renal functional reserve in the FH+ subjects.
The mechanism responsible for impaired disposition of the amino acid load in FH+ remains ill defined. Insulin plays a crucial role in translocation of not only glucose but also amino acids from the extracellular to the intracellular space26 ; specific insulin effects on the transport of cationic amino acids (eg, arginine) are especially well established.22 27 28 29 The FH+ subjects displayed multiple signs of insulin resistance, including (1) higher overall serum glucose concentrations, (2) higher overall serum concentrations of several amino acids (arginine, isoleucine, leucine, methionine, phenylalanine, and valine), and (3) greater increments in 3 amino acids during amino acid infusion (arginine, methionine, and phenylalanine), despite increments of serum insulin at least as great as those seen in the FH- group. Thus, a relative impairment in the ability to drive amino acids into cells may be a manifestation of insulin resistance in persons at genetic risk of hypertension. If amino acid resistance to the effects of insulin is a general feature of insulin-resistant states (eg, hypertension, obesity, type II diabetes, and renal failure), then our results could have general implications that complicate the interpretation of renal functional reserve studies in such states; namely, a given amino acid dose is likely to achieve a higher plasma concentration of that amino acid in an insulin-resistant state. Thus, resistance to the physiological (GFR) actions of amino acids is all the more remarkable in such states. Indeed, resistance to the GFR-elevating actions of amino acids has been described in several insulin-resistant states, including hypertension,9 24 experimental diabetes,29 and renal failure.29 If intracellular translocation of amino acids is required for elevation of GFR, then perhaps it is not surprising that GFR responses to amino acids are blunted in such insulin-resistant states. Indeed, because NOS is a cytosolic enzyme, the most common mechanistic model for amino acid effects on GFR (arginine-NOS-NO·-cGMP) is likely to involve NOS action only on intracellular arginine. Hence, our results suggest a plausible, novel explanation for blunted GFR in insulin-resistant states: diminished substrate (arginine) delivery to NOS. This explanation is also compatible with frequent observations of improved glomerular reserve after ACE inhibition,29 because some ACE inhibitors may actually improve (decrease) insulin resistance in hypertension.30
An assignment of family (parental) history of hypertension (Table 1) is not a matter of certainty, especially because the age-dependent penetrance of hypertension is variable and may not occur until well into the sixth decade of life.1 5 6 Indeed, the parents of our FH- individuals were, on average, younger than the parents of the FH+ group (53.1±1.1 versus 59.2±1.5 years, P=0.013), increasing the possibility of miscategorization of some members of the FH- subject group; however, such misclassification would tend to abolish (rather than create) the numerous biochemical and physiological distinctions we observed between the FH groups (Tables 1 to 3, Figures 1 to 4).
We studied only individuals of European ancestry here (Table 1). Because hypertensives of sub-Saharan African ancestry display differences in autoregulation of glomerular filtration,31 it will be of particular interest to investigate such subjects with similar protocols.
In conclusion, blunted glomerular reserve in response to amino acid infusion in still-normotensive young adults with a positive family history of hypertension is an early-penetrance phenotype in the natural history of hypertension. Our results suggest several pathogenic features that may be at work in creating this phenotype, including insulin resistance to the amino acidtranslocating effects of this hormone, baseline hyperfiltration, and decreased proximal tubular reabsorption during amino acid infusion. Phenotypes with earlier penetrance,5 6 7 such as diminished renal functional reserve, may be especially useful in genetic analyses of hypertension. Coupled with the pathophysiological importance of renal functional reserve or hyperfiltration,8 the further investigation of such phenotypes becomes increasingly attractive in genetic linkage or association studies probing the role of particular genes governing renal involvement in the development or consequences of human essential hypertension.
| Acknowledgments |
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Received April 19, 2000; first decision May 10, 2000; accepted September 11, 2000.
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