Original Contributions |
From Unita' di Aterosclerosi e Trombosi and Direzione Sanitaria, IRCCS Casa Sollievo della Sofferenza, S Giovanni Rotondo; and Istituto di Medicina Interna e Geriatria, Università di Palermo (G.D.M.), Palermo, Italy.
| Abstract |
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Key Words: coronary disease genes risk factors
| Introduction |
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In recent years, epidemiological studies have shown that abnormalities in some hemostatic parameters may help predict the risk for ischemic events. An increased risk for arterial thrombosis has been associated with high plasma levels of coagulation and fibrinolytic factors.4 5 6 Low fibrinolytic activity is related to raised plasma levels of PAI-1 and has been documented in subjects who will develop MI.7 8
In population studies, a family history of ischemic coronary events is a major predictor of CAD. The familial aggregation of CHD can be accounted for in large part by the clustering of cardiovascular disease risk factors. It is well recognized that a history of parental CHD is associated with increased risk of myocardial ischemia.9 The presence of CAD in a first-degree relative before the age of 55 increases by 10-fold the risk to other family members.10 In several twin studies, most showed a strong genetic component in the pathogenesis of cardiovascular ischemia.11 12 These findings support the hypothesis that genetic factors play a significant role in MI and vascular risk factors.13
Recently, raised PAI-1 plasma levels have been shown to be related to a single-base-pair guanine deletion/insertion (4G/5G) polymorphism.14 15 Evidence is accumulating that though not sufficient, this variation may enhance the coronary risk (susceptibility locus).16 Previous work has documented that Lp(a) plasma levels and a polymorphism of the angiotensin-converting enzyme gene are independently associated with a parental history of MI and CHD in second-degree relatives.17 18 19 Little is known of PAI-1 gene variants and how they might be related to such a familial history. To address this issue, we have carried out an investigation in a cohort of healthy workers from southern Italy.
| Methods |
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Detection of Biochemical and Genetic Variables
Plasma levels of PAI-1 antigen, total cholesterol,
and triglycerides were determined as described
elsewhere.20 Blood samples were collected and DNA
extracted according to standard protocols.21 The
PAI-1 4G/5G polymorphism was evaluated as
described.22 In brief, a mutated
oligonucleotide was synthesized, which inserts a site
for the Bsl I enzyme within the product of
amplification. PCR was carried out on 50-µL-volume samples in a
Perkin Elmer-Cetus thermal cycler. Each sample contained 0.5 µg of
genomic DNA, 15 pmol of each primer, 100 mmol/L of dNTP, 10
mmol/L Tris HCl (pH 8.3), 50 mmol/L KCl, 1.5 mmol/L
MgCl2, and 1 U thermostable Taq
polymerase. The 30 cycles consisted of steps at 95°C for 1 minute,
60°C for 1 minute, and 72°C for 2 minutes. Then 20-µL volumes of
the amplification products were digested for 2.5 hours at 55°C
with 5 U of the Bsl I restriction enzyme. The fragments were
fractionated by 4% agarose-gel electrophoresis and visualized under UV
light.
Statistical Analysis
All analyses were performed according to the Systat
5.2.1 statistical package.23 Differences in
baseline characteristics between groups with different ischemic
family history were evaluated with Mann-Whitney and
2 tests for continuous and discrete
variables, respectively. The allelic frequencies were estimated by
gene counting and genotypes were scored. The observed numbers
of each PAI-1 genotype were compared with those expected for a
population in Hardy-Weinberg equilibrium by using a
2 test. The significance of the differences of
observed alleles and genotypes between groups was tested
using the
2 analysis. ORs and 95% CIs
were calculated. Statistical significance for differences in continuous
variables among PAI-1 genotypes was tested by
univariate ANOVA. Pairwise multiple comparisons were
performed using Scheffé's method after logarithmic
transformation of variables with high skewness. Appropriate models
were established to evaluate in a logistic regression analysis
the independent relationship of the PAI-1 4G/5G polymorphism with
the family history of coronary ischemic disease.
Adjusted ORs and 95% CIs were calculated with logistic regression
models. Statistical significance was taken at <.05.
| Results |
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2=5.012, OR=1.29, 95% CI=1.04
to 1.60; P=.025). Different frequencies between the two
subsets were also observed (Table 2
2=8.521, OR=1.62, 95% CI=1.17 to 2.25;
P=.004). Additional analysis assuming a dominant
([4G/4G and 4G/5G] versus 5G/5G) effect of the 4G allele failed
to show any significant difference (
2=0.620;
P=.431).
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When the entire sample was analyzed according to the PAI-1 gene
polymorphism (Table 3
), there was no
difference with respect to a series of determinants of PAI-1 plasma
levels (eg, age, hypertension, diabetes mellitus, etc). In contrast,
mean plasma PAI-1 concentration varied significantly among the
different genotypes (ANOVA test: F=7.897; P<.001),
being higher in 4G/4G subjects (17.97±13.32 ng/mL) than in 4G/5G and
5G/5G subjects (15.66±11.49 ng/mL, P=.021; 14.22±9.17
ng/mL, P<.001, respectively).
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To assess the relationship of PAI-1 with a family history of CAD, multiple regression analysis models were employed. In a model in which a recessive (4G/4G versus [4G/5G and 5G/5G]) effect of the 4G allele was assumed, PAI-1 4G/5G polymorphism (P=.024) and age (P=.006), but not blood cholesterol (P=.089) or body mass index (P=.550), were significantly and independently related to a history of a first-degree relative with CAD. The adjusted OR for carrying the 4G/4G alleles was 1.60 (95% CI=1.062.37). The inclusion of PAI-1 antigen levels in the model little affected the strength of the association with 4G/4G (P=.017). The value for the -2 log likelihood with PAI-1 antigen levels was 29.11 (df 5), only slightly less than that for the model without (29.85, df 4). In parallel, the -2 log likelihood statistics of the model without (971.6) was higher than that of the model with PAI-1 antigen levels (954.9). These values differ significantly (difference in -log likelihood=16.6; P<.001). Models that included a dominant ([4G/4G and 4G/5G] versus 5G/5G) or an additive (4G/4G versus 4G/5G versus 5G/5G) effect of the 4G allele did not show a significant association of the PAI-1 4G/5G polymorphism with a history of a first-degree relative with CAD (P=.593 and .091, respectively).
| Discussion |
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Our findings differ from those of the US Physicians' Health Study,24 in which no association between PAI-1 genotype and MI was found. Although the inconsistency may reflect the play of chance, alternative explanations have to be considered. First is the possibility of differences in genetic background. We enrolled subjects from southern Italy whose families have resided in the region for at least two generations and whose grandparents were born in Italy. In the present report the two groups with a different family history of CAD share similar rates of hypertension and diabetes mellitus, and the association with the PAI-1 4G/5G polymorphism was checked for other risk factors in which the groups differed. Furthermore, the hypothesis that our subjects belong to a genetic subgroup that, though white, might have a segregated PAI-1 genotype with a CAD phenotype must be taken into account. However, the frequencies of several alleles of the major histocompatibility complex in our study population (A2, 26.3%; DR7, 12.0%; and DRw8, 2.3%) were not different from those reported in whites (A2, 28.9%; DR7, 12.0%; and DRw8, 3.0%).25
As reported,14 15 mean plasma levels of PAI-1
antigen were different in the three genotypes
(P<.001). However, these levels were not significantly
higher in subjects with a family history of CAD (Table 1
). This finding
may be explained by taking into consideration that in addition to
genotype, a series of environmental factors affects plasma
PAI-1 levels. PAI-1 production has been related to high blood
levels of glucose, insulin, and triglycerides, the common
link possibly being insulin resistance.26 27
PAI-1 antigen has been shown to correlate significantly with insulin
resistance as measured by a hyperinsulinemic
euglycemic clamp.28 In addition,
environmentally influenced factors such as triglycerides
have been reported to interact with the PAI-1 4G/5G polymorphism to
regulate plasma PAI-1 levels.29 30 Furthermore, a
relationship between smoking habits and degree of insulin resistance as
well as higher PAI-1 activity has been found.31
As illustrated (Table 1
), the incidence of diabetes mellitus,
arterial hypertension, mean levels of
triglycerides, and the percentage of current smokers were
not different between the two groups.
In the Tromsø Heart Study, there was 78% agreement between a self-reported history of MI in first-degree relatives and physicians' records, hospital records, and death certificates.32 Such agreement was >86% in an Australian Study.33 In the Tecumseh Community Health Study34 as well as in the study by Badenhop et al,19 underreporting of coronary events was more likely than overreporting. In our study, information was collected by a well-trained staff and was limited to definite coronary ischemic events according to the WHO questionnaire. This questionnaire has a specificity and sensitivity of 91% and 81%, respectively, for angina pectoris, 91% and 87% for MI, and 100% and 92% for intermittent claudication.35 Our study population is living in a very restricted area. For the past 40 years, the hospital where the offspring are employed has been the reference health institution for the large majority of subjects living in the area. Thus, any inaccuracy would tend to lower rather than enhance the risk estimates of a positive family history.
One should also consider that our calculated ORs reflect only the association between the PAI-1 4G/4G genotype and a family history of CAD. Despite "dilution" of the genes, the association between poor fibrinolysis and ischemic risk confers a biological plausibility to our findings. However, the possibility cannot be definitively ruled out that the PAI-1 4G/5G polymorphism might be a neutral marker in tight linkage disequilibrium with a functional variant of a sequence yet to be identified. Our data support the concept that the PAI-1 gene is a susceptibility locus, ie, it is neither necessary nor sufficient for the disease to occur, but makes it more likely that one will become ill. The extent to which this polymorphism confers an additional coronary risk has to be addressed in prospective studies.
| Selected Abbreviations and Acronyms |
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| Footnotes |
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Received July 16, 1997; accepted August 22, 1997.
| References |
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