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J Am Coll Cardiol, 2006; 47:1959-1966, doi:10.1016/j.jacc.2005.12.057
(Published online 24 April 2006). © 2006 by the American College of Cardiology Foundation |
Athens University Medical School, 1st Cardiology Department, Hippokration Hospital, Athens, Greece.
Manuscript received September 20, 2005; revised manuscript received November 28, 2005, accepted December 5, 2005.
* Reprint requests and correspondence: Dr. Dimitris Tousoulis, S Karagiorga 69, Glifada, Athens, Greece. (Email: tousouli{at}med.uoa.gr).
| Abstract |
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BACKGROUND: C807T and G1648A polymorphisms affect the density of GPIa on platelet surface, but their effect on the risk for MI and the release of sCD40L is unknown.
METHODS: The study population consisted of 219 patients with premature MI and 389 controls. One year after the event, 67 patients and 232 controls were recalled for the follow-up study.
RESULTS: The risk for MI in 807TT was 2.296 (95% confidence interval [CI]: 1.187 to 4.440) p < 0.05 versus CC + CT, 2.269 (95% CI: 1.085 to 4.745) p < 0.05 versus CC, and 2.135 (95% CI: 1.080 to 4.219) p < 0.05 versus CT. During the acute phase of MI, sCD40L was higher in 807CT + TT compared with 807CC (p < 0.01), an effect persisting after one year (p < 0.01). The carriage of 807T allele was an independent predictor for sCD40L during the acute phase of MI (ß = 9.442 [standard error (SE): 2.526], p = 0.001) and in the same patients one year later (ß = 8.282 [SE: 2.044], p = 0.001). In healthy individuals, 807T allele was associated with higher sCD40L levels compared with 807CC (p < 0.05), only among those with von Willebrand factor greater than or equal to median.
CONCLUSIONS: Genetic polymorphism C807T increases the risk for premature MI. 807T allele is an independent predictor for sCD40L levels during the acute phase of premature MI as well as one year after the event, while it is associated with elevated sCD40L levels in healthy subjects, only in the presence of high von Willebrand levels.
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Platelet adhesion to subendothelial collagen during acute coronary syndromes is mediated by specific receptors (integrins) on their surface, such as glycoproteins Ia/IIa (GPIa/IIa) (1,79) and VI (GPVI) (9). Therefore, as a platelet receptor for collagen, GPIa/IIa plays an important role in platelet adhesion and activation during MI (10). Two genetic polymorphisms on GPIa, the C807T and A1648G, have been associated with increased cardiovascular risk in some populations (11,12), although their role is largely controversial (13,14). The presence of 807T allele has been associated with increased expression of GPIa on platelet surface (15) and increased thrombogenicity (16), despite the fact that it does not affect the molecular structure of GPIa. G1648A polymorphism on GPIa gene leads to a Glu/Lys505 substitution in GPIa molecule, and it is responsible for the human platelet alloantigen system Bra/Brb (17), but its effect on the functional status of GPIa is unclear.
In the present study, we examined the potential role of C807T and G1648A polymorphisms of platelet GPIa, as risk factors for the development of premature MI. We also examined whether the presence of these polymorphisms modifies platelet activation and affects the release of sCD40L during the acute phase of premature MI, as well as one year after the event in the same patients, and in healthy individuals. Moreover, we examined the ability of von Willebrand factor (vWF) (a surrogate marker of endothelial injury and activation [18] and a direct stimuli for the platelet surface translocation of CD40L [19]) to modify the effect of these two polymorphisms on the release of sCD40L.
| Methods |
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Protocol. The study was approved by the institutional ethics committee, and an informed consent was given by all the participants. Blood samples were obtained at the 24th h after admission for genotyping and for evaluation of serum levels of sCD40L and plasma levels of vWF. All patients were followed up prospectively for one year, and a well-defined group of patients with a stable clinical condition for at least the previous six months was recalled for the follow-up study one year after the event, and new blood samples were obtained. Exclusion criteria from the follow-up study were the existence of any inflammatory or infective disease, liver or renal disease, malignancy, heart failure defined as ejection fraction <45%, history of deep vein thrombosis or pulmonary embolism, while patients receiving non-steroid or anti-inflammatory drugs or anticoagulants (other than aspirin) were also excluded. To avoid possible influences of percutaneous coronary intervention (PCI), catheter-related acute phase reactions, or coronary artery bypass grafting (CABG) operation on the measured parameters during the acute phase of MI or at the follow-up, patients who required urgent PCI, coronary angiographic investigation, or CABG within the first 24 h of the event or <6 months before the follow-up study were also excluded. None of the patients included in the follow-up study received GPIIb/IIIa antagonists during and after the acute MI. Of the 219 MI patients in the first part of the study, 76 fulfilled the inclusion criteria for the follow-up study, and 67 of them agreed to participate. All patients were under standard medication as appropriate.
The control group in the follow-up study consisted of 232 individuals selected from the initial study cohort to have similar age, gender, and the major risk factors as the patient group (Table 1). This design allows safer comparisons between the groups, because it diminishes any effect of the underlying risk factors on the expression of sCD40L and endothelial activation. All the control subjects had no evidence of cardiovascular disease (such as coronary artery disease or stroke), and they had normal electrocardiograms and exercise stress tests. The same general exclusion criteria used for patients were also applied to the control group. All the participants in the follow-up study were asked to abstain from tobacco, alcohol, and caffeine-containing beverages during the evening before blood sampling, and they discontinued their medication for 12 h before the study. Venous blood samples were centrifuged at 3,500 rpm at 4°C for 15 min, and plasma or serum was collected and stored at 80°C until assayed.
Biochemical measurements. Routine chemical methods were used to determine serum concentrations of total cholesterol, high-density lipoprotein (HDL), and triglycerides. Enzyme linked immunosorbent assays were used for the determination of plasma levels of vWF (Asserachrom, Diagnostica Stago, Asnières sur Seine, France), and sCD40L (Bender Medsystems, Vienna, Austria).
DNA extraction and genotyping. Genomic deoxyribonucleic acid was extracted from 2 to 5 ml of whole blood using standard methods (QIAamp DNA blood kit, Qiagen, Germantown, Maryland). The detection of C807T polymorphism on GPIa gene was performed by polymerase chain reaction as previously described (11,21), with the following primers: sense 5'-ACCTTGCATATTGAATTGCTT-3' and antisense 5'-GTGTTTAACTTGAACACATAT-3', and the polymerase chain reaction products were digested by the TaqI restriction enzyme (New England BioLabs, Ipswich, Massachusetts). Digested fragments were visualized on 3% agarose gel, after ethidium bromide staining under ultraviolet light. Similarly, G1648A polymorphism was detected using the following primers: sense 3'-GTTGATGTGGATAAAGACACC-5' and antisense 3'-ATGATGAAATGTAAACCATAC-5', and the polymerase chain reaction products were digested by Mnl I restriction enzyme (New England Biolabs), electrophoresed with 2.5% agarose gel, and visualized under ultraviolet using ethidium bromide staining, as previously described (12).
Statistical analysis. We tested the allele frequencies conformed to Hardy-Weinberg equilibrium proportions by use of the chi-square test. According to the applied power analysis based on previous reports (22), a total sample size of 230 subjects (cases and controls) was adequate to detect at least a 15% difference in the frequency of the examined alleles between groups, achieving statistical power 90% at p = 0.05 probability level (p value). The number of both cases and controls was, however, increased (n = 606) to permit further analyses in subgroups. Qualitative variables are presented as absolute and relative frequencies. Genotype and allele frequencies were compared between groups by chi-square analysis, and conditional multiple logistic regression analysis was used to estimate odds ratios and 95% confidence intervals (CI), of the development of MI as a function of C807T or A1648G polymorphisms. All odds ratios were adjusted for age, gender, and atherosclerosis risk factors, such as hypertension, diabetes mellitus, hypercholesterolemia, obesity, and smoking. Continuous variables were tested for normal distribution by the Kolmokorov-Smirnov test. Normally distributed variables are presented as mean values ± SEM, while not normally distributed variables were log-transformed for analysis and are presented in the non-logarithmic format as median (25th to 75th percentiles values). The log-transformed variable (triglyceride levels) was confirmed to have normal distribution. Comparisons of continuous variables between patients and controls or between the genotypes were performed by the unpaired Student t test if normally distributed, or by the Mann-Whitney U test if non-normally distributed. The change of sCD40L from baseline (acute phase) to the one-year follow-up value and the comparison of this change between the different genotype groups was assessed by analysis of variance (ANOVA) for repeated measurements. Comparisons of the sCD40L level between the "control group" and the "group of patients during the acute phase" or between the "control group" and the "group of patients at follow-up" were performed by using ANOVA for multiple comparisons followed by Bonferroni correction.
Stepwise multivariate analysis was undertaken with sCD40L as dependent variable and clinical factors (age, gender, hypertension, diabetes, smoking, hypercholesterolemia, and obesity, cholesterol levels, triglyceride levels, HDL levels) and C807T or A1648G polymorphisms as independent variables. We included as independent variables in each multivariate model the respective polymorphism (CC/CT + TT for C807T or GG/AG + AA for A1648G) as well as those that showed a significant association with the dependent variable in univariate analysis, at 15% significance level. A backward elimination procedure was applied in all multivariate models (using p < 0.05 as the threshold for removing a variable from the model).
All reported p values are based on two-sided tests and compared with a significance level of 5%. SPSS version 12.0 (SPSS Inc., Cary, North Carolina) software was used for all the statistical calculations.
| Results |
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median, mean vWF: 97.7 ± 2.1%) carriers of 807T allele had significantly higher levels of sCD40L compared with 807CC homozygotes (p < 0.05) (Fig. 2a). Among patients at follow-up, carriers of the 807T allele had higher levels of sCD40L compared with 807CC independently from vWF levels (median [25th to 75th percentile] of vWF at follow-up: 87.1% [72.84 to 96.60]), as presented in Figure 2b. Similarly, carriers of the 807T allele also had higher levels of sCD40L during the acute phase of MI compared with 807CC, independently from vWF levels (median [25th to 75th percentile] of vWF levels during the acute phase: 92.12% [71.1 to 112.0]).
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Multivariate analysis. In multivariate analysis, it was found that during the acute phase of premature MI, the presence of 807T allele was an independent predictor for sCD40L levels (ß = 9.442 [SE: 2.526], p = 0.001). Other predictors of sCD40L levels during the acute phase of MI were smoking (ß = 8.206 [SE: 3.204], p = 0.014), diabetes mellitus (ß = 10.207 [SE: 4.359], p = 0.024), and obesity (ß = 4.758 [SE: 2.114], p = 0.030). In the same subjects one year after the event, the presence of the 807T allele was still an independent predictor for sCD40L levels (ß = 8.282 [SE: 2.044], p = 0.001), as well as diabetes mellitus (ß = 7.843 [SE: 3.523], p = 0.031) and obesity (ß = 4.463 [SE: 1.714], p = 0.013). Among healthy controls, the presence of T allele was not an independent predictor for sCD40L levels.
| Discussion |
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Genetic polymorphisms C807T and G1648A on platelet GPIa, and the risk for premature MI.
Evidence suggests that platelet GPIa/IIa (integrin
2ß1) and GPVI (9) are major platelet receptors for collagen (7,8). Glycoprotein Ia/IIa also modifies the GPIb-IX, vWF axis (8) and participates in platelet adhesion to subendothelial collagen and activation. Therefore, any variation in platelet GPIa density could become a potential risk factor for hemostatic abnormalities (8). Kunicki et al. (23) first described that genetic polymorphisms within the GPIa gene are associated with variations in platelet GPIa/IIa expression levels. Silent polymorphism C807T (codon Phe224) in GPIa gene affects the density of this integrin on platelets surface, in a way that 807T allele expresses higher levels of GPIa than 807C allele (15,24). On the other hand, G1648A polymorphism leads to a Glu/Lys505 substitution in the GPIa molecule, and it is responsible for the human platelet antigen system Bra/Brb (17). Although these polymorphisms do not affect the functional status of GPIa, they seem to influence its density on the platelet surface (15,25). It has been proposed that C807T polymorphism may affect the stability of mRNA or it may be linked to genetic alteration(s) located in regulatory regions of the GPIa gene, while G1648A could affect the stability of the protein or the formation of the GPIa/IIa complex, thus determining the number of GPIa/IIa complexes (14).
Genetic polymorphism C807T has been associated with the development of stroke (26) or MI in younger individuals (11,27,28) and especially among young smokers (11). Recent evidence suggests that 807T allele may also predict recurrent acute coronary syndromes (29), possibly as a result of the increased thrombogenicity accompanying the presence of 807T allele. However, other studies failed to demonstrate such an effect on the risk for MI (13,22,30,31), or restenosis (32) and events (33) after angioplasty. Similarly, the effect of G1648A polymorphism on the risk for MI is also controversial. The first reports suggested that the presence of 1648A allele may be a risk factor for MI (12) although this relationship is also questioned (14). Based on these controversial reports, it can be hypothesized that other parameters such as the specific population characteristics may modify the effect of this polymorphism on the risk for MI.
In the present study, we have shown that only C807T polymorphism was an independent risk factor for the development of premature MI. Homozygosity for the 807T allele was associated with an increased risk for MI (odds ratio: 2.2 compared with 807C homozygotes). These results were compatible with previous reports suggesting an increase of the risk for MI by 2.6 to 3.3 (11,27) in 807T homozygotes.
Genetic polymorphisms C807T and G1648A on platelet GPIa, and the release of sCD40L during the acute phase of MI. Platelet activation is a key feature in the pathogenesis of acute coronary syndromes (1,34,35). Exposure of circulating platelets to subendothelial collagen leads to their activation and the secretion of several thrombotic and proinflammatory molecules during the acute phase of MI (1). Soluble CD40 ligand, an important proinflammatory molecule secreted by activated platelets (2), is involved in plaque destabilization (3,4) and thrombus formation (3,5,6) during the acute phase of MI (3,6). In addition, ligation of CD40 mediates an array of proinflammatory effects in subjects with risk factors for atherosclerosis such as smokers (36), patients with diabetes mellitus (37) or hypercholesterolemia (38), including the expression of cytokines, chemokines, adhesion molecules, matrix metalloproteinases, and growth factors (2,39), and it is a strong predictor for clinical outcome in patients with advanced atherosclerosis (3). It has been recently reported by Schafer et al. (40) that a decrease of nitric oxide production in healthy volunteers increases CD40L expression on the platelet surface, suggesting that vascular endothelium is a key regulator of platelet CD40L expression.
Platelet activation is partly mediated by the adhesion to subendothelial collagen, an effect mediated by GPIa (7,8). In vitro evidence suggests that 807T allele of GPIa gene is associated with increased platelet reactivity (41) possibly due to its effect on the density of GPIa on platelets surface, an effect confirmed at a clinical level, in platelets from patients after CABG (42). However, the effect of GPIa and its genetic polymorphisms on the release of sCD40L has not been investigated until now.
In the present study, we hypothesized that GPIa may influence the release of sCD40L during the acute phase of MI, due to its role in the platelet-collagen interactions leading to platelet activation, and we examined whether C807T polymorphism (which modifies the density of GPIa on platelet surface) could affect sCD40L levels during the acute phase of premature MI. Moreover, in order to examine the ability of endothelial integrity to mask the effect of C807T on the release of sCD40L, we divided the control group according to plasma levels of vWF (a marker of endothelial cell integrity) (18). We found that the presence of 807T allele was an independent predictor of sCD40L during the acute phase of MI, an effect persisting (although in a lower degree) in the same subjects one year after the event. Interestingly, we also found that even in the control group, carriage of the 807T allele was associated with higher levels of sCD40L compared with 807C homozygotes only among those with vWF greater than or equal to the median, an effect not observed among those with vWF less than the median. This finding suggests that the presence of the 807T allele may participate in the pathogenesis of atherosclerosis and acute coronary syndromes only in the presence of endothelial damage, where platelet-collagen interactions have a significant contribution to platelet activation. A possible explanation for this effect is that endothelial injury and exposure of subendothelial collagen to circulating platelets seems to be the necessary dynamic precondition for any effect of C807T polymorphism or platelet GPIa density on the variability of sCD40L. As described by Tamura et al. (19), vWF can also induce CD40L expression on platelet surface especially under increased sympathetic stimulation that is present during MI. It is also likely that vWF-induced CD40L expression occurs in platelets adhering to exposed subendothelial matrix substances, such as collagen, and that the vWF-GPIb-alpha interaction induces thrombus formation on the collagen surface. Although existing evidence suggests that vWF induces CD40L expression by binding to GPIb-alpha (43), it is also likely that the elevation of vWF observed during MI (44) could induce higher platelet reactivity/activation and release of sCD40L in the presence of 807T allele in GPIa gene, because this glycoprotein modifies the GPIb-IX-vWF axis (8), although the underlying mechanisms require further investigation.
Conclusions. In the present study, we have shown that C807T but not G1648A polymorphism of platelet GPIa gene is an independent risk factor for premature MI. We have shown that the presence of 807T allele is an independent predictor for the variations of sCD40L both during the acute phase of MI as well as one year after the event in the same population. Furthermore, the presence of 807T allele affects the release of sCD40L in healthy subjects only in the presence of higher vWF levels.
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