(Stroke. 1999;30:969-973.)
© 1999 American Heart Association, Inc.
Original Contributions |
From Robarts Research Institute, University of Western Ontario, London, Ontario, Canada (J.D.S., D.F., R.A.H.); Oregon Regional Primate Research Center, Beaverton, Ore (M.R.M.); London Health Sciences Centre, London, Ontario, Canada (P.A.B.); and the Section of Cardiology, Baylor College of Medicine, Houston, Tex (A.J.M.).
Correspondence to Robert A. Hegele, MD, Blackburn Cardiovascular Genetics Laboratory, John P. Robarts Research Institute, 406-100 Perth Drive, London, Ontario, Canada N6A 5K8. E-mail robert.hegele{at}rri.on.ca
| Abstract |
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MethodsIn 307 subjects who were ascertained through a premature atherosclerosis clinic, we measured CPA with 2-dimensional ultrasound and also determined traditional atherosclerosis risk factors, in addition to plasma H(e) concentration and MTHFR genotypes.
ResultsWe found that the frequency of the MTHFR 677T allele was 0.363 in this sample. Mean plasma H(e) concentration was significantly higher in 677T/T homozygotes than in 677T/C heterozygotes and 677C/C homozygotes (17.1±13.7 versus 13.5±6.1 versus 12.6±5.9 µmol/L, respectively, P<0.001). Analysis of variance showed that CPA was significantly associated with age, sex, smoking, diabetes, hypertension, and hyperlipidemia (each P<0.05). When plasma H(e) concentration was included in the model, it was significantly associated with CPA (P<0.05). However, when the MTHFR genotype was included in the model, it was not associated with CPA (P=0.50). Furthermore, there was a significant correlation of CPA with plasma H(e) (r=0.23, P<0.0001). However, the mean CPA did not differ between subjects according to genotype.
ConclusionsThus, plasma H(e), but not MTHFR genotype, is significantly associated with carotid atherosclerosis, suggesting that the biochemical test may be sufficient to identify patients who may be at increased risk of atherosclerosis through this mechanism.
Key Words: carotid arteries genetics polygenic disease risk factors
| Introduction |
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| Subjects and Methods |
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Clinical, Biochemical and Genetic Determinations
Questionnaires relating to past medical history were
administered to and physical examinations were performed on the study
subjects who were ascertained through the vascular disease prevention
clinic. Fasting plasma H(e) concentration was measured by high
performance liquid chromatography with
electrochemical detection, which had been standardized against
reference methods in both Oregon and Cleveland.29 30 From
determinations performed in more than 1000 previous plasma samples, the
coefficient of variation was <5% at the range of plasma H(e)
concentrations observed in the present study. The MTHFR
C677T genotypes were determined by DNA amplification and
restriction digestion with HinfI as
described.9
Ultrasound Evaluations
Ultrasound measurements were made from 2-D B-mode images of the
carotid arteries using a cursor and a microprocessor within the
ultrasound equipment (Mark 9, ATL).28 CPA was
defined as the sum of the cross-sectional areas of all plaques seen in
longitudinal views of the common, external, and internal carotid
arteries. Within-observer variability of CPA was assessed by having
each of 2 technicians measure the CPA in 25 subjects on 2 separate
occasions, at least a week apart. These ultrasound scans were then
distributed in a blinded fashion within a large number of routine
clinical scans, which resulted in their being scored again by the same
individual. The intraclass correlation coefficient for CPA by the same
observer was 0.94. Between-observer reliability of CPA determination
from the images was assessed by having 2 technicians exchange their
tapes on 25 patients and each measure the plaque area. The intraclass
correlation coefficient between observers was 0.99.
Statistical Analysis
SAS (version 6.12) was used for all statistical
analyses. Significance of the deviation of observed
genotype frequencies from those predicted by the Hardy-Weinberg
law was determined using
2 analysis,
with a nominal P<0.10. ANOVAs were performed with use of
the general linear models procedure to determine the sources of
variation for both plasma H(e) concentration and 2-D CPA. The
untransformed CPA had a distribution that was significantly nonnormal,
but a cube root transformation resulted in a variable whose
distribution was not significantly different from normal (Wilks
W=0.96, NS).
To determine sources of variation for plasma H(e), 1 ANOVA was performed. The independent variable was the MTHFR genotype. If a significant association was found, Bonferroni t tests were performed to determine whether the mean plasma H(e) concentration differed between subjects with the 677T/T genotype and each of the other 2 genotypes.
To determine the sources of variation for CPA, 2 ANOVAs were performed.
The dependent variable for each of the 2 ANOVAs was the transformed
CPA. Plasma H(e) concentration was included as an independent
variable in the first ANOVA. The 3 MTHFR
genotypes were included as an independent variable
(df=1) in the second ANOVA. All factors were adjusted for
other factors used in the model. The sample was divided by quartiles of
plasma H(e) concentration to create subgroups to test for differences
between in CPA and MTHFR genotype frequencies
between lowest and highest plasma H(e) concentration quartiles.
2 tests were used to determine whether there
was a between-groups difference in proportions of subjects who were
homozygous for the MTHFR 677T allele.
| Results |
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MTHFR Allele and Genotype Frequencies
The frequency of the MTHFR 677T allele in the 307
subjects from the vascular disease prevention clinic was 0.363. There
were 124 MTHFR 677C/C homozygotes (40.4%), 143 677C/T
heterozygotes (46.6%), and 40 677T/T homozygotes (13.0%). The
observed MTHFR genotype frequencies did not deviate
from those predicted by the Hardy-Weinberg equilibrium
(P=0.68, NS).
Plasma H(e) Concentration and MTHFR
Genotype
ANOVA showed that MTHFR genotype was a
significant determinant of plasma H(e) concentration
(P=0.0007). Bonferroni t tests showed that there
were significant differences, at a nominal P<0.05, in the
mean plasma H(e) concentration of MTHFR 677T/T homozygotes
(17.1±13.7 µmol/L) compared with both 677T/C heterozygotes
(13.5±6.1 µmol/L) and 677C/C homozygotes (12.6±5.9
µmol/L). Furthermore, the frequencies of MTHFR 677T/T
homozygotes according to ascending quartiles of plasma H(e)
concentrations were 0.087, 0.139, 0.101, and 0.192. There was a
significant difference in the frequency of MTHFR 677T/T
homozygotes between the lowest and the highest quartile of plasma H(e)
concentration (P<0.001).
Correlation of Plasma H(e) Concentration and CPA
The Pearson correlation coefficient between plasma H(e)
concentration and transformed CPA was 0.23 (P<0.0001).
Furthermore, the mean±SDs of transformed CPA according to ascending
quartiles of plasma H(e) concentrations were 0.56±0.33, 0.63±0.35,
0.59±0.30, and 0.76±0.47, respectively. There was a significant
difference in the transformed CPA between the lowest and the highest
quartile of plasma H(e) concentration (P<0.001).
CPA and MTHFR Genotype
When subjects were classified according to MTHFR
genotype, we found that the mean±SDs of transformed CPA in
677T/T homozygotes, 677T/C heterozygotes, and 677C/C homozygotes were
0.65±0.39, 0.61±0.36, and 0.68±0.38, respectively. Pairwise
comparisons indicated that the mean CPA was not significantly different
in 677T/T homozygotes compared with 677T/C heterozygotes and in 677T/T
homozygotes compared with 677C/C homozygotes (each
P>0.50).
Sources of Variation for CPA
Two ANOVAs were performed, with the only difference between them
being the use of plasma H(e) concentration as a covariate in one and
the use of MTHFR genotype as a covariate in the
other. As shown in Table 2
, the 2 ANOVAs
had very similar F values and P values for the
significantly associated independent variables age, sex, smoking,
hypertension treatment, hyperlipidemia treatment, and
diabetes history (each P<0.05). The plasma H(e)
concentration was significantly associated with CPA in the first ANOVA
(P=0.049), but the MTHFR genotype was not
associated with CPA in the second ANOVA (P=0.50).
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| Discussion |
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There are several possible reasons that MTHFR 677T/T homozygotes did not have mean CPA significantly different from subjects with the other MTHFR genotypes despite having significantly higher mean plasma H(e) concentrations than subjects with the other MTHFR genotypes. First, this apparent disparity could simply have reflected a lack of statistical power to detect a difference due to the relatively small number of homozygotes in the overall study sample. Alternatively, it could have reflected the lack of specificity in the association between MTHFR genotype and plasma H(e) concentration. In particular, while the MTHFR 677T/T genotype was associated with elevated plasma H(e) concentration in the overall study sample, the vast majority (ie, >80%) of subjects with elevated plasma H(e) concentration did not have the MTHFR 677T/T genotype. This suggests that factors other than MTHFR genotype are the main determinants of elevated plasma H(e) concentration. It therefore follows that factors other than MTHFR genotype are the main determinants of the association between elevated plasma H(e) concentration and increased CPA.
In addition, almost 10% of subjects in the lowest plasma H(e) concentration quartile had the MTHFR 677T/T genotype, which would also tend to attenuate the association between MTHFR genotype and CPA. It is widely assumed that a diet replete in folate can reverse the tendency to higher plasma H(e) concentration in MTHFR 677T/T homozygotes.2 19 21 33 Although we did not obtain dietary histories of folate intake in our study subjects, it is quite likely that a diet replete in folate could have explained the very low plasma H(e) concentration in at least some of the MTHFR 677T/T homozygotes. Thus, such a gene-diet interaction could have further obscured the association between the MTHFR genotype and CPA.
In our study sample, women were found to have had a lower mean plasma
H(e) concentration compared with men (Table 1
,
P<0.01). The most likely explanation for this observation
was the large number of women in our study sample who were taking
hormone replacement therapy. It has been fairly well established that
plasma H(e) concentration can be reduced by up to 20% in
postmenopausal women who use exogenous estrogen.34
This could be yet another factor that, in addition to MTHFR
genotype and diet, contributes to interindividual variation in
plasma H(e) concentration in the present study and in others.
Is CPA useful to determine the extent of carotid atherosclerosis? In general, technical improvements in carotid ultrasound over the past 10 years have resulted in its wide use as a research tool.35 36 37 38 39 40 41 42 43 44 45 46 Some studies have demonstrated a close correlation between carotid ultrasound measurements, usually of carotid intimal-medial wall thickness, and angiographic measurements.35 36 37 38 39 40 41 42 43 44 45 46 Previous concerns regarding apparent discrepancies between angiography and carotid ultrasound have been alleviated by the recent understanding that factors affecting lesion development within the arterial wall do not necessarily affect the angiographic appearance of the lumen.47 48 As the plaque thickens, the artery enlarges, so that the intima maintains exposure to a constant shear rate; thus, significant plaque can develop before any stenosis occurs.47 48 Thus, the complexity of the atherogenic processes within the arterial wall could weaken the relationship between any single indirect variable, the underlying pathology, and the resulting expression of disease. B-mode ultrasound measurement of CPA may thus be complementary to other measures, such as carotid intimal-medial wall thickness, in the assessment of the progression of preclinical atherosclerosis and the monitoring of its rate of progression.
Our results are somewhat limited by the absence of both dietary information and plasma folate concentrations in our study subjects. Knowledge of either of these might have helped to clarify some of the apparent discrepancy in the relationship between MTHFR genotype, plasma H(e) concentration, and CPA. Nonetheless, our data are consistent with the concept that elevated plasma H(e) concentration, from whatever cause, is more directly involved in atherogenesis than is the MTHFR genotype. While homozygosity for MTHFR 677T/T was statistically associated with elevated plasma H(e) concentration, it was neither the major factor determining elevated plasma H(e) concentration nor was it specifically associated with an elevated plasma H(e) concentration. This is compatible with the idea that the MTHFR genotype can create a susceptibility to an elevated plasma H(e) concentration but that the actual expression of elevated plasma H(e) concentration requires other factors and does not specifically require the presence of homozygosity for MTHFR 677T/T. The results suggest that case-finding to identify patients at higher risk for atherosclerosis, and therefore those who might benefit from earlier diagnosis and treatment, would be more effective with measurement of plasma H(e) concentration instead of MTHFR genotyping. It remains to be shown whether an intervention plan based on knowledge of elevated plasma H(e) or treatment of an elevated plasma H(e) concentration itself will reduce the risk of vascular disease in a particular subject.
| Acknowledgments |
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Received October 12, 1998; revision received January 26, 1999; accepted February 1, 1999.
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