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Biochemical Genetics

, Volume 51, Issue 3–4, pp 230–242 | Cite as

Genetic Polymorphisms and the Risk of Myocardial Infarction in Patients Under 45 Years of Age

  • Agata SakowiczEmail author
  • Wojciech Fendler
  • Malgorzata Lelonek
  • Bartosz Sakowicz
  • Tadeusz Pietrucha
Open Access
Article

Abstract

This study investigates the potential role of 17 chosen polymorphisms in 15 candidate genes and the risk of myocardial infarction in patients under 45 years of age. The study consists of 271 patients with myocardial infarction and 141 controls. The analysis of genetic polymorphisms was performed using the PCR–RFLP method. Of the chosen polymorphisms, two (Leu125Val PECAM1 and A1/A2 FVII) are related to myocardial infarction and two (C677T MTHFR and 5A/6A MMP3) to advanced stenosis in arterial vessels (> 75%). We also found that the frequency of some combinations among the analyzed genes and environmental factors varied between the patient and control groups.

Keywords

Myocardial infarction Coronary artery disease Atherothrombosis Polymorphism 

Introduction

Vascular diseases, including coronary artery disease, are the leading cause of death in developed countries. The data indicate that persons under 45 years of age constitute approximately 10% of all patients with myocardial infarction (Doughty et al. 2002). Among young people, the leading factor for myocardial infarction (besides the classic risk factors of hypercholesterolemia, arterial hypertension, smoking, and diabetes mellitus) is a positive family history among first-degree relatives (Garoufalis et al. 1998; Sakowicz et al. 2010b), perhaps because environmental factors have had less time to exert a dominating influence on the disease process in young people (Chaer et al. 2004).

Approximately 90% of all cases of myocardial infarction are the result of acute thrombus, causing obstruction of an artery vessel in places of atherosclerosis plaque rupture (Sakowicz et al. 2010b). The etiopathogenesis of atherosclerosis plaque is still not clear. Several theories or hypotheses about atherogenesis have been proposed. The most probable is the unified theory in which atherosclerosis is caused by complicated interactions among cells of the endothelium, blood cells, and lipoprotein. Damage to the endothelium leads to its dysfunction and activation (Libby 2002). This activation is related to the increased expression of chemoattractant cytokines, lecithin-like oxidized low-density lipoprotein receptor-1 (LOX-1), and adhesion molecules such as selectin E, intracellular adhesion molecule type 1 (ICAM1), vascular adhesion molecule (VCAM), and platelet endothelial cell adhesion molecule type 1 (PECAM1) (Libby 2002). These molecules help leukocytes adhere to the endothelium and migrate into the intima layer of the artery. This process increases inflammation in the vessel. Lymphocytes, macrophages, and other cells (e.g., smooth muscle cells) secrete many different cytokines, metalloproteinases, and factors involved in the progression and disruption of the lesion (Libby 2002). The matrix metalloproteins MMP1, MMP2, MMP3, and MMP9 are involved in degradation of the extracellular matrix, weakening the fibrous cap and subsequently destabilizing atherosclerotic lesions (Koenig and Khuseyinova 2007; Ye 2006). The fibrous cap overlies the athermanous lipid core. The disruption of the atherosclerotic plaque exposes the procoagulants (e.g., phospholipids, tissue factor or platelet-adhesive matrix molecules) that accumulate in the lipid core to blood, which triggers thrombosis (Libby 2002, 2008). It has been hypothesized that impaired fibrinolytic function may also be a risk factor for ischemic events (Morange et al. 2006).

The purpose of this study was to identify which of 17 polymorphisms [C677T MTHFR (rs1801133), Ser128Arg Selectin E (rs5361), K469E ICAM1 (rs5030382), Leu125Val PECAM1 (rs71647806), Ser563Asn PECAM1 (rs1135028), K167N LOX1 (rs11053646), –16071G/2G MMP1 (rs17886084), –16125A/6A MMP3 (rs3025058), –1562C/T MMP9 (rs3918242), –603A/G TF (rs1361600), G1691A FV (rs6025), –6754G/5G PAI1 (rs34857375), –148C/T fibrinogen (rs1800787), –455G/A fibrinogen (rs1800790), –323A1/A2 FVII, R353Q FVII (rs 6046), IVS7 FVII (H5, H6, H7, H8)] promote susceptibility to myocardial infarction in patients under 45 years of age.

Materials and Methods

Study Population

Blood samples were collected from 272 unrelated patients in whom a first incident of myocardial infarction occurred before 45 years of age. All subjects were white Caucasians and showed no typical symptoms of coronary artery disease before the first incident. Myocardial infarction was confirmed by chest pain associated with specific ischemic ECG changes, high serum troponin (T or I), and increased CKMB activity. The participants reported having undergone coronary angiography during their first hospitalization to determine the level of atherosclerotic lesion progression. The coronary segments (right coronary artery: proximal, middle, distal; main left coronary artery: left anterior descending artery, two segments of diagonal branches, left circumflex artery, and marginal branches) identified visually as abnormal were measured quantitatively. Coronary stenoses were scored as significant in the case of a mean lumen diameter reduction of 75% of a stenosed vessel.

The control group consisted of 141 unrelated, asymptomatic, apparently healthy subjects. The inclusion criteria for the control group were age over 45 years (confirming that the subject did not suffer from myocardial infarction before the age of 45) and no symptoms of coronary artery disease. All participants without symptoms of coronary artery disease were recruited from the same geographic region as the patients and were selected randomly.

High blood pressure, hypercholesterolemia (elevated total serum cholesterol levels > 200 mg/dl), and the habit of smoking were not exclusion criteria for the control or patient groups. All information about patients covered the period of time before the first incident of myocardial infarction. We also collected information about positive myocardial infarction or coronary artery disease for first-degree relatives. Patients and controls with diabetes mellitus were not enrolled in the study. The most important criterion for participation in the control or patient groups, besides coronary artery disease, was age. We considered the year and the month of birth in determining age; for example, if a myocardial infarction occurred in the calendar year of a subject’s 45th birthday, but in the month before that birthday, the person was qualified in the study group and registered in the database as 45 years old.

The Institutional Ethics Committee of the Medical University of Lodz has approved the study protocol and sample size. All participants were obliged to sign an informed consent form before enrollment in the study.

Genotype Determination

Venous blood from all individuals in the study was collected in vials containing 3.2% sodium citrate. Samples were stored frozen at –20°C until extraction of DNA. Genomic DNA was extracted from blood leukocytes using standard methods (phenol–chloroform).

Genomic DNA template samples of 100 ng and 50 pM of each primer (Table 1) were used in the polymerase chain reaction (PCR). Denaturation was performed at 94°C for 60 s, annealing at 55–60°C for 60 s, and extension at 72°C for 45 s, in 30 cycles of amplification. DNA amplification was followed by restriction enzyme digestion and polyacrylamide gel electrophoresis (RFLP).
Table 1

Primers and restriction enzymes used for the detection of 17 polymorphisms

Gene

Polymorphism

Primer

Restriction enzyme

Source

MTHFR

C677T

P1 5′-TGAAGGAGAAGGTGTCTGCGGGA-3′

P2 5′-AGGACGGTGCGGTGAGAGTG-3′

HinfI

Brown et al. (1998)

LOX-1

K167N

(G501C)

P1 5′-GGCTCATTTAACTGGGAAAG-3′

P2 5′-CCGTCCAAGGTCATACACAA-3′

BspLI

Trabetti et al. (2006)

Selectin E

A561C (Ser128Arg)

P1 5′-ATGGCACTCTGTAGGACTGCT-3′

P2 5′-GTCTCAGCTCACGATCACCAT-3′

PstI

Ye et al. (1999)

ICAM1

A1405G (K469E)

P1 5′-AGGATGGCACTTTCCCACT-3′

P2 5′-GGCTCACTCACAGAGCACAT-3′

Bsh1236I

Yokoyama et al. (2005)

PECAM1

373 C/G (Leu125Val)

P1 5′-CTATCAGCCTGGCCCTGTAG-3′

P2 5′-TATTCACGCCACTGTGTGCT-3

PvuII

Fang et al. (2005)

PECAM1

1688 G/A (Ser563Asn)

P1 5′-CTATCAGCCTGGCCCTGTAG-3

P2 5′-TCTGTTGAAGGCTGTGCAGT-3′

NheI

Fang et al. (2005)

MMP1

−1607 1G/2G

P1 5′-TCGTGAGAATGTCTTCCCATT-3′

P2 5′-TCTTGGATTGATTTGAGATAAGTGAAATC-3′

XmnI

Dunleavey et al. (2000)

MMP3

−1612 5A/6A

P1 5′-CTTCCTGGAATTCACATCACTGCCACCACT-3′

P2 5′-GGTTCTCCATTCCTTTGATGGGGGGAAAGA-3′

Tth111I

Gnasso et al. (2000)

MMP9

−1562 C/T

P1 5′-GCCTGGCACATAGTAGGCCC-3′

P2 5′-CTTCCTAGCCAGCCGGCATC-3′

BbuI

Zhang et al. (1999)

TF

−603 A/G

P1 5′-AGTCACTATCTCTGGTCGTA-3

P2 5′-CTTCCCTTCCATTTGGTGAT-3′

BstNI

Reny et al. (2004)

PAI-1

−675 4G/5G

P1 5′-CACAGAGAGAGTCTGGCCACGT-3′

P2 5′-CCAACAGAGGACTCTTGGTCT-3′

BslI

Rossaak et al. (2000)

Fibrinogen

−455 G/A

P1 5′-GCTATTCAGCACAAAAAAAGGGTCTTTC-3′

P2 5′-TCTGAGTCCTCTGCTAGGAATGACTTC-3′

HaeIII

 

Fibrinogen

−148 C/T

P1 5′-GCTATTCAGCACAAAAAAAGGGTCTTTC-3′

P2 5′-TCTGAGTCCTCTGCTAGGAATGACTTC-3

HindIII

 

FVII

−323 A1/A2

P1 5′-GAGCGGACGGTTTTGTTGCCAGCG-3′

P2 5′-GGCCTGGTCTGGAGGCTCTCTTC-3

 

Heywood et al. (1997)

FVII

G10976A (R353Q)

P1 5′-GGGAGACTCCCCAAATATCAC-3′

P2 5′-ACGCAGCCTTGGCTTTCTCTC-3′

MspI

Heywood et al. (1997)

FVII

IVS7

P1 5′-AATGTGACTTCCACACCTCC-3′

P2 5′-GATGTCTGTCTGTCTGTGGA-3

 

Doggen et al. (1998)

FV

1691G/A

P1 5′-GGAACAACACCATGATCAGAGCA-3′

P2 5′-TAGCCAGGAGACCTAACATGTTC-3′

MnlI

Middendorf et al. (2004)

Statistical Analysis

Age was expressed as median and interquartile range due to a non-normal distribution. The frequency of alleles was tested against Hardy–Weinberg equilibrium. Pearson chi-square, Yates corrected chi-square, or two-tailed Fisher exact tests were used for data comparisons, depending on the number of cases. Logistic regression analysis was performed to determine the association of particular factors with the incidence of a myocardial infarction before 45 years of age. Univariate comparisons were performed for all analyzed factors, and factors with p values < 0.15 were entered into a multivariate backward, stepwise model. A final p value below 0.05 was deemed statistically significant in the multivariate analysis. Statistica 8.0 and Medcalc 9.36 statistical packages were used for all computations.

Results

Of the 413 participants in the study (70% of whom were male), 141 formed the control group (48% male), and 272 constituted the study group (82% male) (Table 2). The clinical factors of hypertension, hypercholesterolemia, and smoking were more frequently observed in the study group than in the controls. The patients in the study group (40 ± 4.9 years old) were younger than the controls (54 ± 8.6 years old).
Table 2

Characteristics of study participants

Characteristic

Patients (272)

Controls (141)

p

Age in years

40 ± 4.9

54 ± 8.6

<0.0001

Male (%)

222 (82)

67 (48)

<0.0001

Smoker (%)

170 (62)

83 (59)

<0.55

Arterial hypertension (%)

112 (41)

20 (14)

<0.00001

Hypercholesterolemia (%)

169 (59)

49 (35)

<0.00001

First-degree relative with myocardial infarction (%)

121 (44)

43 (30)

<0.008

The frequency of analyzed genotypes at each locus was compatible with Hardy–Weinberg equilibrium. Only the frequency of the MMP1 alleles deviated significantly from the expected value (p = 0.0004).

Because we obtained a very low frequency of genotypes in our study, we decided to compare the polymorphic allele carrier state between analyzed groups (Table 3). Univariate analyses show that the following factors meet the inclusion criteria for multivariate logistic regression: gender, hypertension, hypercholesterolemia, family history of first-degree relatives, and the four polymorphisms FVII (–323 A1/A2), PECAM1 373 C/G (L125 V), PECAM1 G1688A (Ser563Asn), and MMP9 (–1562 C/T). The multivariate analysis (Table 4) shows that among young patients, a higher risk of myocardial infarction was related to gender, hypertension, hypercholesterolemia, myocardial infarction in first-degree relatives, carrier state of allele G of PECAM1 373C/G, interaction between the carrier state of allele T of MMP9 −1562C/T and hypertension, interaction between the carrier state of allele A of PECAM1 G1688A and first-degree relatives. A decrease in risk was related to the carrier state of the A2 allele of FVII A1/A2.
Table 3

Frequency of polymorphic alleles among myocardial infarction patients under 45

Polymorphism

Controls (%)

Patients (%)

p

MTHFR C667T

35.46

41.18

0.31

PECAM1 L125V

51.06

69.49

0.0004

PECAM1 G1688A

66.66

70.48

0.15

Selectin E Ser128Arg

24.11

26.47

0.49

ICAM1 K469E

62.41

66.91

0.42

MMP1 (−1607 1G/2G)

68.09

47.06

0.41

MMP9 (−1562 C/T)

17.02

28.31

0.02

MMP3 (−1612 5A/6A)

39.01

44.12

0.52

LOX-1 K167N

14.89

15.81

0.92

TF (−603 A/G)

49.65

52.94

0.59

PAI (−675 4G/5G)

65.96

66.18

0.95

Fibrinogen HindIII (−146 C/T)

56.03

57.72

0.82

Fibrinogen HaeIII (−455 G/A)

57.45

56.25

0.90

FV 1691 G/A

9.22

5.88

0.29

FVII (−323 A1/A2)

24.11

15.81

0.055

FVII R353Q

24.11

18.75

0.25

FVII IVS7 (H5/H6/H7/H8)

56.03

49.26

0.23

Table 4

Association of myocardial infarction with clinical and genetic factors in patients under 45 years of age

Factor

Multivariate logistic regression

OR

95% CI

Male

2.604

1.952

3.473

Carrier G PECAM1 (C373G, Leu125Val)

1.571

1.185

2.082

Carrier A2 FVII (A1/A2)

0.674

0.482

0.943

Hypertension

1.816

1.290

2.557

Hypercholesterolemia

1.460

1.123

1.897

First-degree relative with myocardial infarction

1.581

1.174

2.128

Carrier T MMP9 and hypertension

1.539

1.129

2.099

Carrier A PECAM1 (G1688A, Ser563Asn) and first-degree relative with myocardial infarction

1.756

1.256

2.455

Other univariate analyses show that significant coronary stenosis (above 75%) was related to seven polymorphisms: C667T MTHFR, K469E ICAM1, –1607 1G/2G MMP1, –1612 5A/6A MMP3, K167N LOX-1, –675 4G/5G PAI, and IVS7 FVII (Table 5).
Table 5

Percentage of minor-allele carriers with critical stenosis

Minor allele

Number of coronary arteries with stenosis >75%

p

0 (%)

1 (%)

2 (%)

3 (%)

MTHFR 667T

38.55

34.78

47.50

61.76

0.03

PECAM1 125V

62.65

72.17

77.50

67.65

0.32

PECAM1 1688A

32.53

30.70

30.00

17.65

0.43

Selectin E 128Arg

25.30

28.70

25.00

23.53

0.91

ICAM1 469E

71.08

71.30

55.00

55.88

0.11

MMP1 –1607 2G

57.83

41.74

37.50

50.00

0.08

MMP9 –1562 T

30.12

27.83

25.00

29.41

0.94

MMP3 –1612 6A

95.18

93.91

92.50

97.06

0.07

LOX-1 167N

19.28

10.43

25.00

14.71

0.12

TF –603G

49.40

50.43

62.50

58.82

0.44

PAI –675 5G

80.72

55.65

70.00

61.76

0.003

Fibrinogen –148C/T

59.04

57.39

52.50

61.76

0.86

Fibrinogen –455G/A

60.24

54.78

50.00

58.82

0.71

FV 1691 A

9.64

4.35

2.50

5.88

0.33

FVII –323A2

20.48

14.78

12.50

11.76

0.53

FVII 353 Q

21.69

16.52

20.00

17.65

0.82

FVII H7

54.22

47.83

35.00

58.82

0.14

We also analyzed the impact of clinical risk factors on the number of coronary arteries with stenosis > 75% (Table 6). Only three factors were associated with a higher number (> 3) of such arteries: a high level of low-density lipoprotein (> 135 mg/dl; p = 0.00003), a high level of triglycerides (> 155 mg/dl; p = 0.02), and smoking (p = 0.07).
Table 6

Association of clinical factors, minor alleles, and coronary artery stenosis

Allele

OR

95% CI

Carrier T MTHFR (C677T)

1.260

1.001

1.618

Carrier 6A/6A MMP3 (–1612 5A/6A)

1.568

1.201

2.048

Carrier 6A/6A MMP3 (–1612 5A/6A) and smoking habit

1.378

1.065

1.782

Multivariate analysis based on Tables 4 and 5

Discussion

The aim of this study was to investigate 17 functional polymorphisms in genes related to atherosclerosis to elucidate their impact on the occurrence of myocardial infarction in Caucasians under 45 years of age. We performed univariate analyses of the chosen polymorphisms and risk factors, and statistically significant data were found in multivariate logistic regression analyses.

We found that carriers of allele T of the MTHFR C677T polymorphism have a higher risk of atherosclerosis than noncarriers. Patients with this allele have statistically significant (p = 0.03) critical stenosis (> 75%) in a minimum of three coronary arteries. The C677T (variant T) mutation reduces the specific activity of MTHFR, increases its thermolability, and has been reported to induce hyperhomocysteinemia. A high level of homocysteine is considered an important risk factor for cardio- and cerebrovascular diseases (Dikmen et al. 2006). Our results are in agreement with the study of Kluijtmans and Whitehead (2001), who found that carriers of the CT genotype have a higher risk of atherothrombosis than CC homozygotes. The role of the MTHFR C677T polymorphism in the development of coronary artery disease or myocardial infarction was confirmed in two independent meta-analyses. Xuan et al. (2011) qualified a total of 30 case–control studies containing 8,140 myocardial infarction cases and 10,522 controls for meta-analysis. They found that the MTHFR C677T polymorphism was associated with risk of myocardial infarction in young/middle-aged Caucasians (OR 1.275, 95% CI: 1.077–1.509). The second meta-analysis included 2,981 Chinese Han subjects. In this population the frequency of the TT genotype was more common among patients with coronary artery disease than the control group (Li 2012). Regardless of the results of recent meta-analyses, the role of the C677T polymorphism in the etiopathology of coronary artery disease and myocardial infarction is still controversial, and it has not been observed in some populations (Balogh et al. 2012; Iqbal et al. 2005). This discrepancy may be related to differences in genetic background in the populations studied or to differences in the selection of patients and healthy controls.

Normal arterial endothelium resists prolonged contact with leukocytes, including blood monocytes. When endothelial cells undergo inflammatory activation, they increase their expression of various leukocyte adhesion molecules, such as selectin E, ICAM1, VCAM, and PECAM1 (Libby 2002). The expression of adhesion molecules is additionally stimulated by elevating the level of LOX-1 molecules on the surface of the endothelium (Dunn et al. 2008). In this study we report that polymorphisms of some molecules expressed on the surface of the endothelium [selectin E (Ser128Arg), ICAM1 (K469E), and LOX-1 (G501C)] are not associated with myocardial infarction or formation of atherosclerotic lesions. Only two polymorphisms that code adhesion molecules had a positive effect on the pathology of myocardial infarction among our young patients. The multivariate analysis shows that the risk of myocardial infarction among carriers of variant G (125 Val) of the polymorphism (C373G; Leu125Val) PECAM1 was almost 1.6-fold that of CC homozygotes (OR 1.571, 95% CI: 1.185–2.082). We found that the carriers of allele A (563Asn; G1688A; Ser563Asn) of the same adhesion molecules (PECAM1) also had a higher risk of myocardial infarction if they had a first-degree relative. According to the literature, these polymorphisms are located in exons 3 and 8 of the extracellular domain, which is responsible for binding PECAM1 with other molecules (e.g., leukocytes). This binding is responsible for the transendothelial migration of immunological cells, which is necessary for the development of atherosclerosis (Fang et al. 2005). Our results are in agreement with the study conducted by Yang et al. (2007), who found that carriers of the AA genotype (Asn563Asn) have a higher risk of myocardial infarction than GG/GA subjects (OR 2.13; 95% CI: 1.08–4.41). Moreover, Wenzel et al. (1999) have shown that carriers of alleles A (G1688A) and G (C373G) of PECAM1 had a higher risk of coronary artery disease than wild homozygotes. The correlation of these polymorphisms of PECAM1 with coronary artery disease or myocardial infarction was confirmed by other researchers in Japanese and South Indian populations (Fang et al. 2005; Sasaoka et al. 2001).

Immunological cells located in the intima (macrophages, T cells, and mast cells) produce several types of molecules: inflammatory cytokines, metalloproteinases, coagulation factors, radicals, and vasoactive molecules (Hansson 2005). Metalloproteinases belong to a family of endopeptidases that degrade proteins of the extracellular matrix (e.g., the fibrous cap that covers the lipid-rich core of the atherosclerotic lesion). This might weaken the fibrous cap and subsequently destabilize an atherosclerotic lesion (Koenig and Khuseyinova 2007). In this study we tried to find correlations of three MMP polymorphisms (–1607 1G/2G MMP1; –1612 5A/6A MMP3; –1562 C/T MMP9) with a higher risk of myocardial infarction and formation of atherosclerosis plaque. We found that individuals with the 6A/6A genotype had a greater extent of coronary atherosclerosis than individuals with other genotypes (OR 1.568, 95% CI: 1.201–2.048). In vitro assays revealed promoter activity of the 5A allele was twice that of the 6A allele (Zhou et al. 2004). Therefore, individuals homozygous for the 6A allele should have lower MMP3 levels in their arterial walls because of reduced gene transcription. Lower levels of this enzyme might favor the accumulation of extracellular matrix and the progression of atherosclerosis (Zhou et al. 2004). Beyzade et al. (2003) have shown that the 6A allele is associated with an increased rate of progression of coronary atherosclerosis (OR 1.52; p = 0.008). The same observation (that individuals carrying the 6A/6A genotype may be predisposed to develop atherosclerotic plaques with significant stenosis) was described by other researchers (Ye 2006; Hirashiki et al. 2003).

In our study we observed that the carrier state of allele T of the –1562 C/T MMP9 polymorphism was correlated with hypertension and a higher risk of myocardial infarction. The risk of myocardial infarction among hypertensive carriers of allele T was almost 1.5-fold that of CC homozygotes, an observation consistent with the results of Blankenberg et al. (2003). They found that the increased expression of MMP9, which was related to the carrier state of allele T MMP9, weakened the cap of the atherosclerotic lesion. The thin layer of the atherosclerotic cap is more prone to rupture under hypertensive conditions. The meta-analyses conducted by Wang et al. (2011) demonstrated that carriers of the T allele have a higher risk associated with increased myocardial infarction susceptibility (OR 1.14, 95% CI: 1.02–1.27; p = 0.02).

The exposure of thrombogenic factors released from an atherosclerotic lesion after its rupture may lead to thrombosis (Thim et al. 2008). In this study we found that young Caucasian carriers of the A2 allele of the –323A1/A2 FVII polymorphism have a decreased risk of myocardial infarction. This result agrees with our previous study, in which we found that carriers of this allele have a lower risk of myocardial infarction than noncarriers (OR 0.40, 95% CI: 0.20–0.80) (Sakowicz et al. 2010a). According to the literature, this polymorphism influences the level of FVII in blood. The A2 allele decreases the level of factor VII, which may lead to a lower risk of myocardial infarction (Sakowicz et al. 2010a). Our results agree with the study by Bozzini et al. (2004), in which male carriers of –323A2 were protected against myocardial infarction (OR 0.6, 95% CI: 0.39–0.94). This observation is also consistent with that of Di Castelnuovo et al. (2000).

Controversially, Bernardi et al. (1996) did not report any protective effect of the –323A2 allele. The same results were observed by Nederhand et al. (2001), who reported that in an Italian population the A2 allele was present in 11% of patients with a history of myocardial infarction and in 10.8% of patients with no history of myocardial infarction.

This study shows that formation of atherosclerotic lesions is strongly correlated with genetic factors in young Caucasians. We found that the C677T MTHFR and –1612 5A/6A MMP3 polymorphisms have strong influences on the formation of atherosclerotic plaque. We observed some correlation among the polymorphisms studied as well as between polymorphisms and environmental risk factors. Our study indicates that PECAM1 polymorphisms and the –1562 C/T MMP9 polymorphism have a positive effect on (i.e., increase) the risk of myocardial infarction in subjects under 45 years of age.

Notes

Acknowledgments

We are grateful to R. Dębiec, M.D., and Ł. Polak, Ph.D., for collecting blood samples from patients. We thank the police station of Lodz city for recruiting the control group. The research was supported by Grant No. 502-03/0-078-01/502-04-006.

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© The Author(s) 2012

Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

Authors and Affiliations

  • Agata Sakowicz
    • 1
    Email author
  • Wojciech Fendler
    • 2
  • Malgorzata Lelonek
    • 3
  • Bartosz Sakowicz
    • 4
  • Tadeusz Pietrucha
    • 1
  1. 1.Department of Medical BiotechnologyMedical University of LodzLodzPoland
  2. 2.Department of Pediatrics, Oncology, Hematology and DiabetologyMedical University of LodzLodzPoland
  3. 3.Department of CardiologyMedical University of LodzLodzPoland
  4. 4.Department of Microelectronics and Computer ScienceLodz University of TechnologyLodzPoland

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