Atherosclerosis and Lipoproteins |
From the Department of Preventive Medicine, Institute for Prevention Research, Keck School of Medicine of the University of Southern California, Los Angeles, and the Division of Cardiology (C.N.B.M.), Department of Medicine, Cedars-Sinai Research Institute, Cedars-Sinai Medical Center and Department of Medicine, University of California at Los Angeles School of Medicine.
| Abstract |
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Key Words: atherosclerosis response-to-injury model intima-media thickness LDL cholesterol blood pressure
| Introduction |
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This model of atherogenesis predicts that the atherosclerotic deposition of LDL cholesterol (LDL-C) may require previous damage to the endothelium by a factor such as hypertension. There are various experimental results from animal models of atherosclerosis that support the injury hypothesis.3 For example, in the Watanabe heritable hyperlipidemic rabbit, plasma lipoproteins play a key role in determining the intimal response to hypertension.4 Hypertension-induced changes in the intima lead to thickening but do not generally progress to atherosclerotic plaque formation in the absence of elevated plasma lipoproteins.5
The roles of high blood pressure and LDL-C proposed in the response-to-injury hypothesis of atherosclerosis can be tested with B-mode ultrasound measurement of intima-media thickness (IMT) in the common carotid artery.6 Increased IMT is characteristic of natural aging7 and early atherosclerosis.2 Such thickening of the common carotid arteries has been related prospectively to the risk of coronary heart disease events.8 9 10 In addition, carotid IMT has been related to cardiovascular risk factors in epidemiological studies,11 12 and it has shown regression in lipid-lowering intervention trials.13 14 15 16 17
Epidemiological data from cohorts with coronary disease morbidity or mortality events as end points may not detect an interaction between blood pressure and blood lipid levels because of the additional role of hypertension or hypercholesterolemia in the thromboembolic pathways that lead to events.
Hypertension and elevated serum LDL-C are established as independent risk factors for thicker carotid artery intima-media layers.8 11 12 However, we know of no published epidemiological data assessing the interaction between blood pressure and LDL-C as they relate to carotid artery wall thickness. The present study evaluates this hypothesis by investigating interactive relations between systolic blood pressure (SBP), LDL-C, and carotid artery IMT in a cross-sectional epidemiological study.
| Methods |
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Measures
Measures at the baseline examination included the following:
ultrasound scanning of the left and right carotid arteries in 2 body
positions (supine and lateral); a questionnaire concerning demographic
information, medication use, and health behaviors;
venipuncture; blood pressure in the brachial artery of the
right arm; body size; and three 24-hour recalls of dietary intake. All
measures (except 2 of the three 24-hour dietary recalls) were collected
in a single examination conducted in a specially equipped van that was
driven to work sites.
Carotid B-mode images were obtained with a portable ultrasound scanner
(ATL Ultramark 4+) equipped with a 7.5-MHz linear array transducer. IMT
was calculated offline with a computerized pattern recognition
algorithm.18 These procedures and the reproducibility of
the measurements have been reported elsewhere.19 Briefly,
IMT is averaged over a 1-cm segment of the far wall of the common
carotid artery 0.25 cm proximal to the carotid bulb. The number of
pixels can range from 55 to 80 over the 1-cm segment, depending on the
penetration depth (
55 pixels for 60-mm scanning depth, 80 for 40-mm
depth) of the far wall of the artery. IMT is determined by measures on
2 frames in each of 2 body positions (lateral and supine) in the left
and right arteries. The overall IMT measure was expected to be the mean
of 8 frames. Out of the total of 576 subjects, IMT could not be
measured on all 8 frames for 3 subjects, IMT was measurable in 4 frames
for 3 subjects, and IMT was measurable in 6 frames for another 20
subjects. In the case of missing frames, IMT was calculated as the
average of the available measures. By use of this protocol, the
standard deviation of differences between repeated measures of IMT by
different sonographers was 0.029 mm.19
Seated and supine blood pressures were measured twice in the brachial artery with a standard mercury sphygmomanometer. The first reading occurred before the ultrasound examination; the second occurred after the examination. The 2 seated readings were averaged for analysis. Seated blood pressures were not measured for 10 of the 576 subjects in the study; these 10 missing seated blood pressure values were imputed from the supine readings.
LDL-C levels were determined from fasting serum samples. Fasting was defined as a self-reported interval of >8 hours since the last intake of food. Blood was processed immediately and stored at -20°C for 1 to 5 days; samples were then stored at -70°C until analysis. Serum lipids were determined by automated clinical chemistry analyzers. Serum LDL-C was estimated from total cholesterol, HDL cholesterol, and triglycerides by using the formula of Friedewald et al.20 LDL-C was not determined in subjects with fasting serum triglyceride levels >3.955 mmol/L.
Statistical Analysis
To depict the general relations between IMT with serum LDL-C and
SBP, covariate-adjusted mean IMT was estimated within subgroups of
LDL-C and SBP. Subjects were categorized into tertiles of SBP and then
quintiles of LDL-C within each blood pressure group. Means within these
15 groups were adjusted for age, sex, ethnic group (non-Hispanic white,
Hispanic, black, Asian, and other), body height, body mass index,
smoking status (current, former, and never), diabetes
(noninsulin-dependent diabetes mellitus or insulin-dependent diabetes
mellitus/other), use of pharmacological agents for hypertension
(yes/no), and hypercholesterolemia (yes/no). In
the figure, mean IMT is plotted against the median of LDL-C
(LDLM) within each of the 15 groups.
To estimate the linear relationship between IMT and LDL-C within SBP
tertile groups and the difference of the linear dependence of IMT on
LDL-C between SBP levels, a linear regression was performed in which
the dependent variable was IMT. The independent variables were
LDLM, 2 dummy variables indicating SBP
tertiles, the product of LDLM and these 2 SBP
dummy variables, and the covariates. The dummy variables and
the linear regression were constructed as depicted in Table 1
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For a comprehensive exploration of the interactions between different kinds of blood pressures and lipids, similar analyses were conducted with serum total, LDL-C, and HDL cholesterol and with SBP as well as diastolic blood pressure (DBP). No interactions of these relations with sex were detected, so interactions with sex were not included.
| Results |
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The Figure
depicts the relations
between IMT and LDL-C quintiles within SBP tertile groups. Adjusted IMT
had a monotonous relationship with SBP (P<0.001 for high
versus middle SBP groups or high versus low SBP groups,
P<0.005 for middle versus low SBP groups). IMT was
0.692±0.007 mm, 0.657±0.006 mm, and 0.631±0.006 mm in
the high, middle, and low SBP groups, respectively. However, this
monotonic relation did not hold when LDL-C was low. The adjusted IMT in
the lower two LDL-C quintiles (LDL-C<3.42 mmol/L) of the high SBP
group was 0.659±0.009 mm; it was no longer statistically
different from the adjusted IMT of the middle SBP group
(P=0.8).
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It is clear from the Figure
that there was no significant
linear trend in IMT across LDL-C quintiles in the low
(ß=-0.004±0.009, where ß values are IMT [mm]/LDL-C [mmol/L];
P=0.64) and middle (ß=-0.006±0.008, P=0.39)
SBP tertile groups. However, there was an upward trend
(ß=0.025±0.008, P=0.002) in IMT with increasing LDL-C in
the high SBP tertile group. The slope in the high SBP group was
significantly greater than the slope in the middle (P=0.004)
and low (P=0.014) SBP groups. The findings were comparable
when total cholesterol (rather than LDL-C) was used in the
previous analysis. IMT was significantly related to total
cholesterol in only the high SBP tertile group
(ß=0.020±0.008, P=0.011). These slopes were not
significant in the middle (ß=-0.004±0.007, P=0.56) or
low (ß=-0.006±0.008, P=0.75) SBP tertile groups, and the
interaction terms were significant between high SBP tertile and the
middle (P=0.02) and low (P=0.02) SBP
tertiles.
The linear relationships between HDL cholesterol and IMT were not significant in low (ß=0.008±0.019, P=0.68), middle (ß=-0.012±0.023, P=0.60), or high (ß=-0.019±0.024, P=0.40) SBP tertile groups. None of the linear slopes were significantly different from each other.
Similar analysis of LDL-C and DBP yielded results in the same direction. When subjects were stratified into 3 groups based on DBP tertile (low [67 to 85 mm Hg], middle [86 to 92 mm Hg], and high [93 to 128 mm Hg]), IMT was shown to be significantly related with LDL-C in the high DBP tertile group (ß=0.022±0.008, P=0.008) but not in the middle (ß=0.012±0.008, P=0.13) or low (ß=-0.008±0.009, P=0.36) DBP tertile group. The difference in the linear slopes was statistically significant between the high and low DBP tertile groups (P=0.01) and was moderately significant between the high and middle DBP tertile groups (P=0.09).
Similar analyses were performed on the subset of 413 subjects without diabetes or treatment for hypertension or hypercholesterolemia. The results were comparable: eg, IMT was significantly related to LDL-C only in the high SBP tertile (ß=0.019±0.009, P=0.03). Slopes were not significant in the middle (ß=-0.003±0.008, P=0.74) or low (ß=-0.004±0.008, P=0.57) SBP tertiles, and the interaction terms were moderately significant for the middle (P=0.06) and low (P=0.04) SBP tertiles.
| Discussion |
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Similar analyses with total cholesterol or DBP yielded a comparable pattern of associations, but the magnitude of the interactions was reduced. Considering the close correlation between total cholesterol and LDL (r=0.68, P=0.0001) and between SBP and DBP (r=0.93, P=0.0001), these findings may indicate that LDL-C and SBP are the more direct measures of the factors that interact to impact arterial wall thickening due to atherosclerosis.
There are additional aspects of the findings with implications for the
pathophysiology of IMT. As shown in the Figure
and Table
2, IMT increased substantially, with an increase in SBP from the
bottom to middle tertile, but IMT was not positively related to LDL-C
in the middle SBP tertile group. One plausible explanation for this
pattern is that the thickening that occurred in the middle SBP tertile
is adaptive thickening of the intima7 21 and
media.21 22 Such thickening is characterized by remodeling
to counteract the rise in wall tension. In contrast, maladaptive
thickening involving monocyte recruitment, an inflammatory response
with stimulation of growth factors, proliferation of smooth muscle
cells, and lipid accumulation in the intima occurs in the high blood
pressure tertile group, in which endothelial damage is
more likely sufficient to initiate atherogenesis. In addition to
inducing the damage that initiates atherogenesis, elevated blood
pressure may also accelerate lipid deposition through continued damage
to the endothelium or increased diffusion of
lipoproteins into the subendothelial
space.23 24 The combination of elevated serum LDL-C
concentration and SBP may thus operate synergistically to produce the
thickest intima-media complex.
When LDL-C was low, it was found that IMT increases between the low and middle tertiles of SBP, but there is no comparable increase between the middle and high SBP groups. This suggests that high blood pressure alone, in the absence of elevated LDL-C, is insufficient to induce maladaptive (atherosclerotic) intimal thickening beyond the adaptive thickening observed in the middle SBP tertile.3 This interpretation is supported by findings from animal models with induced hypertension.5 It is also consistent with the observation that in hypertensive patients with low cholesterol levels, left ventricular hypertrophy is common, but coronary artery disease is not.25 The escalating inflammatory cycle that characterizes the atherogenic response to blood pressure damage may require elevated LDL-C (or some other mediator) to accelerate the process. With low LDL-C, the cascade of inflammatory response to elevated blood pressure (involving cytokines, growth factors, monocyte colonystimulating factor, and modified LDL-C) may be dampened such that repair is achieved without self-perpetuation. Thus, the adaptive thickening of the intima may reach a maximum in the middle SBP tertile, and further intimal thickening is achieved only with LDL-Cmediated atherosclerosis.
This response-to-injury explanation of our findings is indirectly supported by a comparison of findings from cross-sectional and longitudinal studies of blood pressure and IMT. In cross-sectional studies, the relationship between SBP and IMT is generally monotonically positive.12 26 27 However, in the few published longitudinal studies, 428 29 30 31 of 615 32 studies found no relationship between baseline SBP and subsequent change in IMT. Interestingly, the other 2 studies found the association among control groups from lipid-lowering trials in which hypercholesterolemic subjects were recruited. For instance, in the Kuopio Atherosclerosis Prevention Study (KAPS), one of the subjects recruitment criteria was that LDL-C was consistently >4 mmol/L.32 These findings are explained by our model inasmuch as only those persons with elevated blood pressure (or some other source of injury) and elevated LDL-C would be expected to show atherosclerotic progression. This pattern of findings from cross-sectional and longitudinal studies is consistent with a process in which elevated blood pressure leads to adaptive wall thickening that reaches an equilibrium with the demands of elevated pressure (rather than continued thickening, as in atherosclerosis). Subsequently, the damaged endothelium induced by the increased pressure is subject to atherosclerosis if LDL-C is retained in the artery wall.33
A finding from an intervention study that supports the response-to-injury interpretation of our results is the regression of carotid artery IMT in one lipid-lowering trial. In the Asymptomatic Carotid Artery Plaque Study (ACAPS),34 among subjects selected for elevated LDL-C (60th to 90th percentiles) and carotid wall thickening, the lovastatin intervention effect in the hypertensive patients was found to be larger than in the nonhypertensive patients receiving lovastatin.15 Compared with wall thickening in the nonhypertensive group, wall thickening in the participants with combined elevated blood pressure and LDL-C was more likely due to progressing atherosclerosis.
Given the cross-sectional findings reported in the present study and the observational nature of the other studies cited, there are clearly alternative explanations of an interaction between SBP and LDL-C as they relate to carotid IMT. The interaction could arise because of a synergism of the 2 factors that does not involve the temporal sequence inherent in the response-to-injury model or that of pressure-adaptive wall thickening. Elevated blood pressure may, for example, increase the diffusion of LDL-C into the subendothelial space23 24 or prolong the retention of LDL-C in the intima.33 Elevated blood pressure could also tend to promote lesions initiated by elevated LDL-C. Given that SBP and LDL-C tend to be correlated,35 it is also plausible that the interaction between them is due to each being determined by some other factor(s) that induces atherosclerosis. The apparent synergism would then actually be due to a third factor that is indicated by the presence of both risk factors.
Several studies describe a possible synergism of multiple risk factors to account for the existence of collagenous fibrous plaques in the aorta or coronary arteries.36 A study of 129 autopsied cases in Oslo (Holme et al37 ) also revealed an interactive role of SBP and total serum cholesterol on raised lesions in the coronary arteries. It is of interest that this finding was in the opposite direction compared with our finding: Holme et al reported that the correlations between serum cholesterol and coronary lesions were 0.485 in the low SBP tertile, 0.353 in middle SBP tertile, and 0.185 in high SBP tertile. Another clinical study found that IMT in hypercholesterolemic hypertensives was not significantly thicker than IMT in normocholesterolemic hypertensives.38
A synergism between SBP and LDL for atherosclerosis is not supported by findings from cohort studies with incident coronary disease or mortality as end points. For example, in the Honolulu Heart Program, serum cholesterol and SBP are additive (rather than synergistic) in logistic or probit models of coronary heart disease risk (J.H. Dwyer, D. Reed, unpublished data, 2000). Such risk regression models are the equivalent of the additive form (no interaction) of the linear model with a continuous outcome, such as carotid IMT. However, the absence of synergism between serum cholesterol or LDL-C and hypertension in cohort studies with coronary heart disease end points does not necessarily contradict the injury hypothesis. Event end points include atherogenic and thrombotic effects of factors, and elevated blood pressure may play a role in thrombotic events as well as an injury role in atherogenesis. An example of a potential thrombotic effect of hypertension is the adverse impact of elevated blood pressure on endothelium-dependent vasodilation and blood rheology, and both of these factors have been implicated as promoters of the conversion of atherosclerosis to atherothrombosis.39
The complete absence of a positive association between carotid IMT and
LDL-C in the lower blood pressure groups (see Figure
) is
puzzling. If elevated LDL-C is sufficient to cause
endothelial damage and induce
atherosclerosis,40 then a positive
gradient in these groups would be expected. However, even if elevated
LDL-C must be preceded by injury to promote
atherosclerosis, we might expect that injuries to the
arterial wall due to other factors (that are uncorrelated
with LDL-C) would induce a positive association. Our findings therefore
suggest that elevated blood pressure is the major source of
arterial injury that results in susceptibility to
LDL-Cinduced atherosclerosis. It is also plausible
that atherosclerosis due to LDL-induced injury develops at a later age
and that such effects will become apparent as the cohort ages.
In summary, the finding of a cross-sectional interaction between SBP and LDL-C as they relate to carotid wall thickness in asymptomatic healthy people is consistent with predictions of the response-to-injury model of atherogenesis.2 Given that this finding has not been reported previously and that there are numerous alternative interpretations, replication and longitudinal investigations are needed to further investigate this issue.
| Acknowledgments |
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| Footnotes |
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Received February 1, 2000; accepted March 29, 2000.
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M. GLICK Screening for traditional risk factors for cardiovascular disease: A review for oral health care providers J Am Dent Assoc, March 1, 2002; 133(3): 291 - 300. [Abstract] [Full Text] [PDF] |
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J. H. Dwyer, M. Navab, K. M. Dwyer, K. Hassan, P. Sun, A. Shircore, S. Hama-Levy, G. Hough, X. Wang, T. Drake, et al. Oxygenated Carotenoid Lutein and Progression of Early Atherosclerosis : The Los Angeles Atherosclerosis Study Circulation, June 19, 2001; 103(24): 2922 - 2927. [Abstract] [Full Text] [PDF] |
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K. A. Matthews, L. H. Kuller, K. Sutton-Tyrrell, Y.-F. Chang, G. E. Tietjen, and R. L. Brey Changes in Cardiovascular Risk Factors During the Perimenopause and Postmenopause and Carotid Artery Atherosclerosis in Healthy Women Editorial Comment : Premenopausal Risk Continuum for Carotid Atherosclerosis After Menopause Stroke, May 1, 2001; 32(5): 1104 - 1111. [Abstract] [Full Text] [PDF] |
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