Original Contributions |
Presented in part at the 70th Scientific Sessions meeting of the American Heart Association, Orlando, FL, November 912, 1997.
From the Lipid Metabolism Laboratory (W.V.-C., A.H.L., F.K.W., Z.L., S.L.-F., E.J.S.) and Mass Spectrometry Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, Mass (G.G.D.).
Correspondence to Ernst J. Schaefer, MD, Lipid Metabolism Laboratory, Jean Meyer USDA Human Nutrition Research Center on Aging at Tufts University, 711 Washington Street, Boston, MA 02111. E-mail Schaefer_li{at}hnrc.tufts.edu
| Abstract |
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Key Words: diet HDL apolipoprotein kinetics stable isotopes
| Introduction |
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Few human studies have carefully addressed the question of how diets
low in saturated fat and cholesterol content affect the
metabolism of HDL (Table 1
).
Blum et al9 studied 3 women after consumption of a very
high carbohydrate (80%), low fat (<5g) liquid diet. The authors
reported that a 39% increase in total HDL protein fractional catabolic
rate accounted for the 38% decrease in plasma HDL-C levels. These
results did not reach statistical significance. The effect of a diet
high in polyunsaturated fat (polyunsaturated/saturated [P/S]= 4) was
studied by Shepherd et al10 in 4 male subjects. The total
fat (40%) and cholesterol content (400 mg/day) was kept
constant. Compared with a diet high in saturated fat (P/S=0.25), there
was a significant reduction of 33% in HDL-C levels associated with a
significant 26% reduction in apoA-I secretion rate on the
polyunsaturated fat diet. Nestel et al11 studied 7 men on
a vegetarian diet with a mean caloric intake of 26% fat, 60%
carbohydrates, 14% protein and <100 mg of cholesterol/
day, and 6 men on an average Western diet (36% to 43% fat, 42% to
49% carbohydrate, 15% protein, and 500 to 700 mg of
cholesterol/day). The vegetarian subjects had lower levels
of HDL-C (-9%) and apoA-I (-18%) and a 59% higher apoA-I
fractional catabolic rate compared with the nonvegetarian subjects who
served as control. Subsequently, Brinton et al12
investigated the effects of a low fat-low cholesterol diet
(9% fat, 76% carbohydrate, 16% protein, and 40 mg of
cholesterol/1000 kcals) on HDL apoA-I and apoA-II
metabolic rates in 13 humans. Compared with a baseline diet
(42% fat, 43% carbohydrate, 15% protein and 215 mg of
cholesterol/1000 kcals), the authors observed reductions in
HDL-C levels and in apoA-I plasma levels of 29% and 23%,
respectively. Although there was a significant decrease in apoA-I
secretion (-14%) and a significant increase in apoA-I fractional
catabolic rate (11%), the changes in HDL-C levels correlated with the
change in apoA-I secretion rate and not with the change in apoA-I
fractional catabolic rate.
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Limitations concerning the results of some of the studies listed above were the small number of subjects, the use of unpaired analysis, and the inclusion of either liquid diets or diets not habitual to Western societies. In addition, all studies were conducted in young subjects. Because of these concerns, it is difficult to interpret the metabolic basis for the decrease in HDL-C levels especially at intakes of saturated fat and cholesterol recommended for people with elevated plasma cholesterol levels who are often middle-aged or elderly.13
The purpose of this study was to examine the effects of a Step 2 diet (<30% fat, <7% saturated fat, and <200 mg of cholesterol per day) on HDL apoA-I and apoA-II kinetics. The Step 2 diet is the diet currently recommended by the American Heart Association and the National Cholesterol Education Program for people with elevated plasma LDL-C levels to treat hypercholesterolemia and prevent CHD. We studied middle-aged and older subjects, who are most likely to have this diet recommended to them. We hypothesized that a Step 2 diet causes a decrease in HDL-C levels due to an increase in apoA-I fractional catabolic rate as well as a decrease in apoA-I secretion rate without an effect on apoA-II metabolic parameters.
| Methods |
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Experimental Design
The protocol for this project consists of 2 separate
metabolic studies. We studied 11 subjects for 6 weeks on a
baseline average American diet followed by a Step 2 diet for 24 weeks.
In the second study, both dietary periods lasted for 6 weeks. The
length of the Step 2 diet in the second study was reduced to 6 weeks
because results from a previous study showed that stabilization of
plasma lipid levels occurs by 4 weeks.14 There were no
significant differences in any of the parameters assessed
between the 2 groups of subjects, therefore, the data were combined.
The nutrient composition of the experimental diets was analyzed
by Hazleton Laboratories America Inc. on triplicate preparations of
each 3-day menu cycle (Table 2
). All food
and drink during the study periods were prepared and provided to the
subjects by the Metabolic Research Unit of the Jean Mayer
USDA Human Nutrition Research Center on Aging at Tufts University.
Subjects were allowed a maximum of 4 weeks of non-regulated diet
between study phases. Energy intake was adjusted to keep body weight
constant (±1 kg) throughout each dietary phase.
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At the end of each experimental diet, a primed-constant infusion of [5,5,5-2H3]-L-leucine was carried out for 15 hours. After fasting for 12 hours, subjects were fed hourly for 20 hours starting at 6 AM, and each meal consisted of 1/20 their daily caloric intake specific for each dietary phase. Five hours after their first meal, subjects received an intravenous bolus dose (10 µmol/kg) followed by a constant infusion of [5,5,5-2H3]-L-leucine at 10 µmol · kg-1 · hr-1. After 15 hours, the primed constant infusion and hourly feeding were terminated. Blood samples (20 mL) were collected via a second intravenous line at 0, 1, 2, 3, 4, 6, 8, 10, 12, and 15 hours.
Plasma Lipid and Lipoprotein Determinations
Blood samples were collected in tubes containing 0.15% EDTA and
centrifuged at 2500 rpm for 20 minutes at 4°C to separate
plasma. Plasma fatty acid composition during each study period was
measured by esterification of lipid extracts to monitor adherence to
the diets.15 HDL-C was measured in plasma after
precipitation of apoB containing lipoproteins with dextran
sulfate-MgCl2.16
HDL3 cholesterol was also measured
from plasma by a modification of the dextran
sulfate-MgCl2 method.17
HDL2 cholesterol concentration
represents the difference between HDL-C and
HDL3-C. Triglyceride rich lipoprotein
(TRL, d<1.006 g/mL) and HDL (1.063 to 1.21 g/mL)
fractions were obtained by sequential
ultracentrifugation (Beckman Instruments Inc) as
previously described.18 Plasma lipids, VLDL
cholesterol and HDL total cholesterol,
unesterified cholesterol, triglyceride and
phospholipid concentrations were determined by enzymatic methods using
an automated analyzer (Abbott Diagnostics Spectrum
CCX analyzer) and Abbott enzymatic reagents.19
Phospholipid reagents were obtained from Wako Chemicals USA Inc. HDL
esterified cholesterol was calculated as
HDL-C-unesterified cholesterolx1.68, to account for the
mass of the fatty acid. HDL net triglycerides were
determined as the total triglycerides-unesterified
glycerol. The total HDL protein content was estimated as the sum of
apoA-I and apoA-II plasma concentrations that together comprise about
90% of the total protein mass of HDL.20 For each HDL
component, a correction factor was calculated and added to account for
the losses during ultracentrifugation. LDL-C was
calculated as TC-(VLDL-C+HDL-C). All lipid and protein assays were
performed in duplicates and the coefficient of variation within and
between runs were 2% to 5%.
HDL particle size was determined according to the method of Li et al21 22 Plasma samples were loaded onto nondenaturing polyacrylamide gradient gels (4% to 30%) obtained from Pharmacia, electrophoresed and stained with Sudan black B stain (Fisher). The migration distance of each band was compared with the migration of albumin using a LKB Ultrascan XL laser densitometer (LKB Instruments Inc). A standard curve was obtained using proteins of known sizes and the HDL particle size calculated as the mean diameter of each band multiplied by the fraction of the total area for that particular band, expressed as nm.
Quantitation and Isolation of Apolipoproteins
Plasma apoA-I concentration was measured by an
immunoturbidimetric assay,23 using the Spectrum CCx
analyzer (Abbott Diagnostics), with reagents and
calibrators from Incstar Corp. Plasma apoA-II concentration was
assessed by an electroimmunodiffusion technique using commercially
available agarose gels with polyclonal anti-apoA-II antibody
incorporated into the gels (Laboratoires Sebia).24
The coefficients of variation between runs for
both measurements were 4% and 10%, respectively. Within each run, the
coefficient was approximately 4% for apoA-I and 7% for apoA-II.
ApoA-I and apoA-II were isolated from the HDL fraction by SDS
polyacrylamide gradient gel electrophoresis using a 6% to 30%
acrylamide linear gradient.25 The amount of
protein loaded was approximately 100 ug per sample. Protein bands were
identified by comparing their migration bands with those of known
molecular weight proteins (low molecular weight proteins, Sigma
Chemical Co).
Isotopic Enrichment Determinations
Polyacrylamide gel bands for apoA-I and apoA-II were cut
and hydrolyzed with 12N HCL, and incubated at 110°C for 24
hours.25 The amino acids were derivitized by adding
propanol/acetyl chloride and heptafluorobutyric anhydride (HFBA)
reagents. After drying the chemical compounds under nitrogen, ethyl
acetate was added to each sample, which was then analyzed using
a gas chromatograph-mass spectrometer (Hewlett-Packard Co).
Briefly, the derivatized amino acids were separated using a
30mx0.32 mm DX 4 capillary column (J&W Scientific, Inc). The
column temperature is set at 50°C and subsequently increased by
10°C/min to 250°C. To identify labeled from unlabeled leucine, the
amino acids were ionized by methane negative chemical ionization. Ion
monitoring at m/z=349 to 352 was used to determine the isotopic ratio
(labeled/unlabeled leucine x100) of each sample. Enrichment was
calculated from the isotopic ratio and then converted to tracer/tracee
ratios26 according to the formula e(t)/
e(I)-e(t), where e(t) is the enrichment
at time t and e(I) represents the
isotopic abundance of the infusate, which for this study, was
99.8%.
Kinetic Analysis
Fractional secretion rates of HDL apoA-I and apoA-II were
determined by fitting the tracer/tracee ratios to a
monoexponential function using SAAM II. The data were
fit to the function
A(t)=Ap(1-e-k(t-d)),
where A(t) is the tracer/tracee ratio at time t,
Ap is the tracer/tracee ratio of the plateau of
the curve representing the precursor pool, d is the delay
time, and k is the fractional secretion rate. Under steady state
conditions, the fractional secretion rate equals the fractional
catabolic rate. The delay was fixed at 30 minutes
representing the time of labeled leucine incorporation into
the protein of interest.27 VLDL apoB100 plateau
enrichment, determined using a monoexponential function
also, was used to estimate apoA-I and apoA-II precursor
pool.28 In this study, the VLDL apoB100 plateau
represents about 75% of the plasma leucine enrichment
plateau.
To analyze the kinetic data, we assumed that a primed constant infusion provides a constant enrichment of plasma leucine, which is the immediate precursor of the leucine incorporated into apoA-I and apoA-II. Previous studies from our laboratory have reported that under these conditions, plasma leucine reaches its plateau after 1 hour and remains constant throughout the infusion. We also assumed that each subject was studied under steady-state conditions with regard to their lipid and apolipoprotein concentrations. The caloric content and composition of each hourly meal remained constant and was designed to achieve steady state.25 29
The secretion rates of apoA-I and apoA-II were calculated as: fractional secretion rate (pools/day)xapolipoprotein pool size (mg)/body weight (kg) and are expressed as mg · kg-1 · day-1. Pool sizes were defined as apolipoprotein plasma concentration (mg/dl)xplasma volume (0.045 L/kg body weight). The residence time represents the inverse of the fractional secretion rate.
Statistical Analyses
The SYSTAT 7.0 software program (SPSS, Inc) was used for all
statistical analyses. Paired t tests were used to
assess differences between mean values on baseline and Step 2 diets. A
linear regression analysis with gender as a covariate was
performed to test for correlates of the change in HDL-C levels during
the Step 2 diet. For each variable studied, the percent change was
calculated.
| Results |
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HDL Composition
Compositional data for HDL are shown in Table 4
. Compared with the baseline diet, HDL
unesterified and esterified cholesterol, phospholipids, and
protein were significantly lowered (-17%, -16%, -14%, and -9%,
respectively) when subjects were switched from a baseline to a Step 2
diet. There was no significant diet effect on HDL
triglyceride. The HDL protein effect was mostly due to the
diet-associated decrease in apoA-I plasma levels. No significant effect
of diet on HDL particle size was noted.
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Relative to the total weight of the particle, we observed a modest but statistically significant decrease in the percentage of HDL esterified cholesterol and an increase in HDL triglycerides on the Step 2 diet compared with baseline. The relative percentages of unesterified HDL cholesterol, phospholipid and protein were not affected by switching from a baseline to Step 2 diet.
HDL ApoA-I and ApoA-II Metabolic Rates
Table 5
shows the diet effect on
apoA-I and apoA-II metabolic rates. The apoA-I pool size
decreased 12% on the Step 2 diet compared with baseline
(P<0.0001). During the Step 2 diet, the apoA-I fractional
catabolic rate did not change significantly from baseline (4%,
P=0.91) but the apoA-I secretion rate was significantly
lowered (-8%, P=0.03). This reduction in apoA-I secretion
rate contributed to most of the decrease in plasma apoA-I levels during
the Step 2 diet. The mean tracer/tracee ratios for apoA-I and apoA-II
during the baseline and Step 2 diet are shown in Figure 1
. The apoA-I and apoA-II curves were
similar between diets. At 15 hours the maximal apoA-I and apoA-II
enrichment curves were about 1% and 0.8%, respectively. Dietary
treatment appeared to have little effect on these
parameters.
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Figure 2
shows the individual variability
in dietary response with regard to HDL-C and apoA-I levels, and apoA-I
metabolic rates. A decrease in the HDL-C percent change
with diet was observed in all but 1 subject, ranging from 2 to -27%.
The response in apoA-I levels was more homogeneous (-3%
to -22%), but the percent change in apoA-I fractional catabolic rate
(45% to -42%) was highly variable, as was the percent change in
apoA-I secretion rates (17% to -49%).
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With regard to the metabolic rates of apoA-II, we did not observe a significant effect of the Step 2 diet on apoA-II pool size (-2.8%, P=0.20), fractional catabolic rate (2.8%, P=0.77) or secretion rate (0.20%, P=0.46). These results are in agreement with the fact that apoA-II plasma levels remained unchanged after consumption of the Step 2 diet. Within each dietary phase, the apoA-II fractional catabolic rate (baseline, 0.175±0.042; Step 2, 0.171±0.038) was lower than the apoA-I fractional catabolic rate (baseline, 0.219±0.052; Step 2, 0.220±0.043), suggesting that apoA-I is catabolized faster than apoA-II.
Correlates of the Change in HDL-C Levels
A linear regression analysis was performed to examine the
relationship between the change in HDL-C levels with diet and the
change in apoA-I and apoA-II metabolic rates. Gender was
included in the model as a covariate to adjust for the differences in
HDL-C levels between men and women. The change in HDL-C levels
correlated with the change in apoA-I (r=0.81, P<0.001), and
with the change in triglyceride levels (r=-0.45,
P=0.04) but not with the change in apoA-II
(r=0.07, P=0.76) levels. With regard to apoA-I
metabolic rates, the change in HDL-C did not correlate with
the change in apoA-I fractional catabolic rate (r=0.06,
P=0.81) or with the change in apoA-I secretion rate (r=0.30,
P=0.19). In a stepwise multivariate
regression analysis, 80% of the variability in HDL-C change
with diet was explained by changes in apoA-I, triglyceride
levels, and gender.
| Discussion |
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The reduction in apoA-I levels was accompanied by a decrease in apoA-I secretion rates without a significant change in apoA-I fractional catabolic rates. A large degree of individual variability in dietary response with regard to the apoA-I fractional catabolic rates was observed. This variability cannot be attributed to the diet, but probably relates to differences in genetic factors.
The decrease in HDL lipids (with the exception of triglycerides) and protein concentrations without an effect on HDL size suggests a decrease in the number of circulating HDL particles during the Step 2 diet compared with the baseline diet. In addition, the Step 2 diet caused a small alteration in the cholesterol ester and triglyceride content of HDL. Although reductions in both total cholesterol (-19%) and triglyceride (-7%) plasma levels were observed after consumption of the Step 2 diet, the magnitude of the decrease was greater for plasma total cholesterol than for triglycerides. Therefore, it is possible that the higher triglyceride and lower cholesterol ester concentrations in the HDL core of the particle reflects the change in total plasma lipids.
We used a monoexponential equation to analyze the kinetic data with the VLDL apoB100 plateau as an estimate of the apoA-I and apoA-II precursor pool. There are a few limitations associated with using the above parameters to study HDL kinetics. The use of a monoexponential equation assumes that the HDL precursor and product pools are homogeneous. With regard to the precursor pool, apoA-I is synthesized in the liver and the intestine whereas apoA-II is only synthesized in the liver.32 Ikewaki et al reported28 that the apoA-I fractional catabolic rate obtained with stable isotopes, using a monoexponential function and the VLDL apoB100 plateau, was highly comparable with the one obtained using exogenous radiotracer methods. The closest agreement between stable isotope and radioactive tracer was obtained when 90% of the plasma apoA-I plasma pool was assumed to come from the liver. Although other studies have estimated that up to 50% of circulating plasma apoA-I is synthesized in the intestine,33 dietary fat and cholesterol do not seem to have an effect on intestinal apoA-I mRNA levels.34 35 Therefore it seems appropriate to use the apoB100 plateau as an estimate of apoA-I precursor pool. Moreover, we have recently documented that under constant feeding conditions, TRL apoB100 and apoB48 are catabolized at similar rates and have similar percent enrichment at plateau.36
With regard to the product pool, it is well established that HDL particles are heterogeneous on the basis of size and protein composition.37 Previous studies have shown similar enrichment curves for HDL2 and HDL3 apoA-I, suggesting a rapid exchange of apoA-I between the two HDL subclasses.38 39 With regard to HDL subclasses LpA-I and LpA-I/A-II, Rader and colleages40 reported a higher fractional catabolic rates in apoA-I associated with LpA-I compared with apoA-I in LpA-I/A-II particles. However, Tilly-Kiesi et al41 observed similar apoA-I fractional catabolic rates between LpA-I and LpA-I/A-II subclasses. Although the Step 2 diet did not have an effect on apoA-I fractional catabolic rates in our study, it is possible that a difference in response to the diet exists between apoA-I in LpA-I and apoA-I in LpA-I/A-II. If a difference truly exists, it is of small magnitude because it was not reflected in the total apoA-I fractional catabolic rate change with diet.
In our study, the apoA-I fractional catabolic rates (0.219±0.052 pools/day) and the apoA-II fractional catabolic rates (0.175±0.042 pools/day) were comparable to those obtained using exogenous radioactive tracers at similar levels of dietary fat and cholesterol.12 28 40 42 Some of these studies used a multiexponential equation, though others used a 2-compartment model to calculate the fractional catabolic rates, and their apoA-I and apoA-II fractional catabolic rates range from 0.228 to 0.242 and 0.186 to 0.200, respectively.
Studies conducted in primates and transgenic mice have provided information on the molecular mechanisms by which dietary fat and cholesterol affect HDL-C and apoA-I levels. Sorci-Thomas et al34 showed that diets high in polyunsaturated fat (P/S ratio=2.2), at 40% total fat, decrease HDL-C and apoA-I levels by lowering apoA-I mRNA levels and hepatic secretion when compared with a saturated fat diet (P/S=0.3). This effect was only seen in animals that were fed high levels of dietary cholesterol (0.8 mg/kcal). On the other hand, Brousseau and collegues43 reported that replacement of saturated fat with either polyunsaturated or monounsaturated fat without changing the amount of total fat (30%) and dietary cholesterol (0.22mg/kcal), did not alter apoA-I mRNA abundance and secretion. These results suggest that dietary cholesterol may play an important role in modulating apoA-I secretion rates.
Using a mouse model expressing human apoA-I, Hayek et al44 observed a decrease in apoA-I fractional catabolic rates and an increase in apoA-I secretion rates in both control and transgenic animals consuming a diet high in total fat (41%) and cholesterol (0.437 mg/kcal) compared with a low fat (9%), low cholesterol (0.057mg/kcal) diet. There was no significant effect on hepatic apoA-I mRNA levels after the high fat-high cholesterol diet. In addition, increases in HDL cholesterol ester transport rate were also observed in response to an increase in dietary fat and cholesterol. This suggests that the requirement for HDL-mediated cholesterol removal may be less at lower intakes of dietary fat and cholesterol. This response may be compensatory, such that higher secretion rates of apoA-I on an atherogenic diet may be a protective mechanism against the deleterious effects of elevated apoB containing particles on the arterial wall.
Although animal studies have provided valuable information on the regulation of apoA-I gene expression by dietary fat and cholesterol, it remains unclear which dietary factors contribute to the observed changes. In our study, we cannot determine whether the decrease in saturated fat or dietary cholesterol intake accounts for the reductions in apoA-I secretion rates and plasma levels. In addition, the increase in carbohydrate intake to compensate for the decrease in total fat content of the Step 2 diet also may have influenced apoA-I gene expression. However, restriction of dietary saturated fat and cholesterol occurs simultaneously with therapeutic diets designed to lower plasma LDL-C levels. Future studies are needed to evaluate the role of each dietary component on apoA-I gene expression. Such information can be useful in designing diet and/or drug therapies aimed at increasing HDL-C levels and reducing CHD risk.
In summary, we have demonstrated that decreased intakes of total fat, saturated fat and cholesterol as part of Step 2 dietary guidelines beneficially lower total plasma cholesterol and LDL-C levels. Although the Step 2 diet lowers HDL-C plasma levels as well, this should not be viewed as a negative outcome with regard to CHD risk. We observed that the total cholesterol/HDL-C ratio, a strong predictor of CHD,45 decreased as well. We conclude that consumption of a Step 2 diet is associated with decreases in apoA-I secretion rates.
| Acknowledgments |
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Received May 28, 1998; accepted June 3, 1998.
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