Literature DB >> 25310099

Association between the polymorphisms in intercellular adhesion molecule-1 and the risk of coronary atherosclerosis: a case-controlled study.

Mao Yang1, Zhenkun Fu2, Qingjiang Zhang3, Yu Xin4, Yanjun Chen1, Ye Tian5.   

Abstract

Intercellular adhesion molecule-1 (ICAM-1), an important immune adhesion molecule, is related to the atherosclerosis. We explored the association between the polymorphisms of the ICAM-1 gene and coronary atherosclerotic stenosis to determine whether any risk factors correlate with genetic polymorphisms in Chinese patients with coronary atherosclerosis. Using the SNaPshot assay, we examined six SNPs of rs5491, rs281428, rs281432, rs5496, rs5498 and rs281437 in 604 patients diagnosed with coronary atherosclerotic stenosis by angiography and in 468 controls. We found that AG genotype of rs5498 had higher frequency in the coronary atherosclerotic stenosis patients (41.56% to 34.19%, P = 0.017, OR = 1.368,95%CI 1.057-1.770) and that the haplotype Ars5491Crs281428Grs281432 had higher frequency in patients (13.8% to 12.1%, P = 0.048). When analyzing the clinical risk factors for coronary atherosclerosis, we found that the rs5498 locus was associated with the levels of apolipoprotein A (APOA) (P = 0.0002) and triglycerides (TG) (P = 0.002). Furthermore, the levels of triglycerides (TG) were also associated with rs281432 (P = 0.040). Additionally, the TT genotype of rs281437 was associated with a higher level of apolipoprotein A (APOA) (P = 0.039) and apolipoprotein B (APOB) (P = 0.003). Finally, among those with coronary atherosclerosis, we found no differences in the haplotype analysis of polymorphisms of the ICAM-1 gene from individuals with hypertension or those who smoked. According to our results, the ICAM-1 polymorphisms were associated with risk of coronary atherosclerotic stenosis in Chinese individuals.

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Year:  2014        PMID: 25310099      PMCID: PMC4195684          DOI: 10.1371/journal.pone.0109658

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Coronary heart disease, such as coronary atherosclerosis or ischemic stroke, is a common disease in the elderly population, poses a threat to public health, and can even be life-threatening. Serial angiographic studies have revealed that the plaque at the site of the culprit lesion of a future acute myocardial infarction often does not cause a stenosis that, as shown on an antecedent angiogram, is sufficiently severe to limit flow. Immune factors, particularly vascular adhesion molecules, may be play important roles in the plaque rupture and thrombosis, especially for vascular adhesion molecules [1], [2]. The accumulation of atherosclerotic plaques can be regulated by the monocyte recruitment, which is facilitated by the binding of endothelial adhesion molecules, including selectins, intercellular adhesion molecule 1 (ICAM-1) and vascular adhesion molecule 1 (VCAM-1) [3]. ICAM-1, the most common member of immunoglobulin superfamily, is typically expressed on endothelial cells and cells of the immune system. The ICAM-1 gene is located on chromosome 19 p13.2–p13.3. Interactions between cellular adhesion molecules and their co-stimulatory receptors, such as ICAM-1 and LFA-1, can transmit signals into leukocytes and cause the migration of leukocytes into the basement membrane of the vasculature. The cellular adhesion molecule ICAM-1, which binds to LFA-1, is important for the firm adhesion of monocytes to the luminal surface of the endothelium. These monocytes can differentiate into foam cells, which participated in the processes of atherosclerotic plaque formation and inflammation in the vasculature [3]–[5]. The risk factors for atherosclerosis, such as hypertension, hyperlipidemia and low-density lipoprotein, are associated with the level of adhesion molecules, and ICAM-1 maybe considered as a prognostic factor for atherosclerosis [6], [7]. Single nucleotide polymorphisms (SNPs) of immune functional factors appears to play important roles in cardiovascular disease [8]–[12]. Studies of the association study between ICAM-1 polymorphisms and cardiovascular disease focused on two SNPs in exons, including K469E and G241R [13], [14]. Current research on the relationship between the genetic variations in the ICAM-1 gene and coronary atherosclerosis is increasingly relevant. To investigate the relationship between SNPs of the ICAM-1 gene and the clinical indications of coronary atherosclerosis cases, we analyzed six representative SNPs in the ICAM-1 gene and performed a correlative analysis in patients with coronary atherosclerosis using clinical features collected during examinations.

Materials and Methods

Subjects and methods

The research group included 604 Chinese patients with coronary atherosclerosis who were recruited between 2009 and 2013. The enrolled subjects, aged 28 to 89 years (mean 63.95±10.97), were recruited from the Fourth Affiliated Hospital of Harbin Medical University. The clinical features of coronary atherosclerosis, including age, sex, hypertension, smoking history, cholesterol, blood-glucose, triglyceride, high and low density lipoprotein, were obtained from the case history of each patient. We also collected 468 normal controls, mean age 62.35±9.50 (range, 29 to 82), from the same district. The ethical board of Harbin Medical University approved the study before beginning any research and all of the participants provided written informed consent.

Clinical definitions

All of the enrolled patients with coronary atherosclerosis were experiencing their first attack and were not receiving medication. In addition, all patients were given a definite diagnosis by coronary angiography and had clinical symptoms, such as chest pain, S-T segment change upon electrocardiogram and 64-multidetector or 320-multidetector CT examination, and the stenosis of coronary artery was more than 50%. The consensus definition was the achievement of a minimum stenosis diameter reduction of <50% with no significant coronary artery disease [15]. We divided the coronary atherosclerosis patients into two groups, medium stenosis group (50%–80% stenosis) and the severe stenosis group (>80% stenosis). The risk factors for atherosclerosis that were analyzed included age, male gender, smoking, drinking, hyperglycaemia, hypercholesterolemia and hypertension. Smoking was defined as the individuals are smoking now or have been smoking less than one year.. Hyperglycaemia was defined as a fasting blood glucose level greater than>7.8 mmol/L, or treatment with dietary modification, insulin, or oral hypoglycemic agents. Hypertension was defined as systolic blood pressure greater than 140 mm Hg or a diastolic pressure greater than 90 mm Hg on at least three occasions, or if the patient was being treated with medication for hypertension. Hypercholesterolemia was defined as a fasting cholesterol level of more than 6.2 mmol/L or treatment with a lipid-lowering medication. The normal controls were individuals who must satisfy three condition: (1) No typical clinical symptoms of coronary heart disease and S-T segment change on electrocardiogram (ECG). (2) The risk factors of coronary heart disease must be within normal limits, such as CHO, TG, HDL, LDL, APOA, APOB, GLU, UA and blood pressure. (3) Negative results of 64-multidetector and 320-multidetector CT examination, or treadmill exercise ECG.

SNP selecting and genotyping

The selection of SNPs was performed with Haploview 4.0 through pairwise tagging (r2>0.8) and the selection of minor allele frequencies included those greater than 0.05 using Chinese (CHB) genotype data from HapMap (http://www.hapmap.org/) covering the ICAM-1 gene. Six SNPs (rs5491, rs281428, rs281432, rs5496, rs5498 and rs281437) of the ICAM-1 gene were selected as research targets. Genomic DNA was extracted from whole blood using the Universal Genomic DNA Extraction Kit Ver. 3.0 (TaKaRa, Japan). The SNaPshot SNP assay was performed to detect the dimorphisms at the six SNP loci. The PCR primer pairs used to amplify the DNA sequences are shown in . PCR was performed in a 15 µl reaction mixture containing 1 µl (10 ng) of template DNA, 1 µM of each primer, 0.3 mM of each deoxynucleotide triphosphate, 3.0 mM of MgCl2, and 1 U Taq polymerase (Fermentas, USA) with 10×buffer. The PCR program consisted of an initial melting step of 3 minutes at 95°C; 11 cycles of 15 seconds at 94°C, 15 seconds at 60°C–0.5°C/cycle, and 30 seconds at 72°C; 24 cycles of 15 seconds at 94°C, 15 seconds at 54°C, and 30 seconds at 72°C; and a final elongation step of 3 minutes at 72°C. To purify the PCR products, 1 U FastAP and ExoI were mixed with 3 µl PCR product for 15 minutes at 37°C and 15 minutes at 80°C. The SNaPshot multiplex single-base extension reaction primer sequences of each SNP are also shown in . The extension reaction was performed in a 6 µl reaction mixture containing 1 µl of the SNaPshot Multiplex Kit (Applied Biosystems, USA), 2 µl of purified PCR products, 0.8 µM of the extension reaction primer, and 1 µl water. The PCR program was 1 minute at 96°C; 30 cycles of 10 seconds at 96°C, 5 seconds at 52°C, and 30 seconds at 60°C. The sequencing results were analyzed with an ABI3730XL sequencer. To ensure quality control (QC), a random sample of 5% of the cases was genotyped twice by different persons, with a reproducibility of 100%.

Statistical analysis

The data were expressed as the mean±SEM. The genotype frequencies of the SNPs were determined for the Hardy-Weinberg equilibrium (HWE) among coronary atherosclerosis cases and normal controls. The risks between SNPs and coronary atherosclerosis were estimated by odds ratio (OR) with 95% confidence interval (CI). Disease characteristics and risk factors were compared among all patients using by the chi-square test and ANOVA. The genotype frequencies of the subjects were determined using different model of inheritance (additive, dominant, recessive and homozygote comparison) and were analyzed using the chi-square test. The comparisons of the distributions of the allele, genotype and haplotype frequencies were performed using the chi-square test, and statistical significance was set at P<0.05. The statistical analyses were performed using SPSS 16.0 software. We used Haploview 4.1 software to tag all common haplotypes and their frequencies in cases and controls. The haplotype block definitions were based on the confidence limits for a strong LD of upper = 0.85 and lower = 0.70, an upper confidence interval maximum for strong recombination of 0.85, and at least 0.8 of strong LD in informative comparisons.

Results

Genotyping and patient characteristics

Demographic and clinical characteristics are shown in . A total of 604 of the coronary atherosclerosis patients and 468 controls were successfully genotyped by the SNaPshot assay ( ). The rs5496 locus had one genotype (GG), thus we removed the rs5496 locus from our research. The other five SNPs were all consistent with the Hardy–Weinberg equilibrium.
Table 1

Clinical and Demographic Characteristics of Patients (n = 604) and controls (n = 468).

VariableMean ± S.D.
Age (years)
Cases63.95±10.97
Controls62.35±9.50
Sex
CasesFemales (%)267(44.21)
Males (%)337 (55.79)
ControlsFemales(%)199(42.52)
Males (%)269(57.48)
The clinical characteristics of patients and controlsPatientsControls
HDL, mmol/L1.15±0.241.11±0.16
LDL, mmol/L3.00±0.962.65±0.57
Total CHO, mmol/L4.97±1.184.59±0.68
TG, mmol/L2.04±1.561.12±0.33
BMI, kg/m2 25.31±3.2722.48±1.79
Systolic blood pressure (mmHg)137.22±19.81117.28±9.76
Diastolic blood pressure (mmHg)81.35±11.8678.26±10.93
APO A (g/L)1.27±0.241.20±0.13
APO B (g/L)0.96±0.320.84±0.19
GLU (mmol/L)5.99±1.945.22±0.94
UA (umol/L)358.49±98.41300.97±67.09
The smoking and stenosis of coronary artery in patients
Current or ex-smokers (%)182 (30.32%)
Stenosis of coronary artery (%)
50%–80%295 (48.84)
More than 80%309 (51.16)

HDL  =  high-density lipoprotein cholesterol; LDL  =  low-density lipoprotein cholesterol; CHO =  cholesterol; TG  =  Triglyceride; BMI  =  body mass index; APO = apolipoprotein; GLU = fasting blood-glucose; UA = uric acid.

Figure 1

SNP genotyping of ICAM-1 gene (S1.rs281428, S2.rs281432, S3.rs5496, S4.rs5491, S5.rs5498, S6.rs281437).

HDL  =  high-density lipoprotein cholesterol; LDL  =  low-density lipoprotein cholesterol; CHO =  cholesterol; TG  =  Triglyceride; BMI  =  body mass index; APO = apolipoprotein; GLU = fasting blood-glucose; UA = uric acid.

Genotypes, alleles and haplotypes

The frequencies of the genotypes and alleles of the five SNPs of the ICAM-1 gene for both coronary atherosclerosis cancer patients and controls are shown in and . All genotypes of the 5 SNPs were in accordance with the Hardy–Weinberg equilibrium in the breast cancer case and control groups. There was a statistically significant difference in the distribution of the genotype rs5498 when comparing coronary atherosclerosis case and control groups, we found that AG genotype had higher frequency in cases than in controls (P = 0.017, OR = 1.368 95%CI 1.057–1.770). We found no relationship among cases and controls regarding the distribution of the other four SNPs. Additionally, there was no significant difference in the distribution of the alleles of the ICAM-1 gene SNPs among controls and patients with coronary atherosclerosis ().
Table 2

The association between polymorphisms of ICAM-1 gene and coronary atherosclerosis.

SNPGenotypesCases(%)Controls(%)P value, OR(95%CI)Global P
rs5491AA531(87.91%)405(86.54%)reference0.789
AT71(11.75%)61(13.03%)0.523, 0.888(0.616–1.280)
TT2(0.34%)2(0.43%)0.581*, 0.763(0.107–5.438)
rs281428CC468(77.48%)360(76.92%)reference0.397
CT122(20.20%)102(21.80%)0.582, 0.920(0.684–1.238)
TT14(2.32%)6(1.28%)0.229, 1.795(0.683–4.717)
rs281432CC269(44.54%)228(48.72%)reference0.386
CG265(43.87%)188(40.17%)0.175, 1.195(0.924–1.545)
GG70(11.59%)52(11.11%)0.518, 1.141(0.765–1.702)
rs5498AA305(50.50%)266(56.84%)reference 0.048
AG251(41.56%)160(34.19%) 0.017, 1.368(1.0571.770)
GG48(7.94%)42(8.97%)0.988, 0.997(0.638–1.556)
rs281437CC472(78.15%)358(76.50%)reference0.597
CT120(19.87%)103(22.00%)0.414, 0.884(0.657–1.189)
TT12(1.98%)7(1.50%)0.584, 1.300(0.507–3.336)

* Fisher Exact test. Significant values (p<0.05) are in bold.

cases: n = 604; missing, n = 0; controls, n = 468; missing, n = 0.

* Fisher Exact test. Significant values (p<0.05) are in bold. cases: n = 604; missing, n = 0; controls, n = 468; missing, n = 0.

Relationship between patients' characteristics and polymorphisms of ICAM-1 gene

We analyzed the relationship between the stenosis of patients with coronary atherosclerosis and the polymorphisms of the ICAM-1 gene by chi-square test, and we found no significant difference (). The age- and BMI- of those patients with different the genotypes of the ICAM-1 SNPs were not significantly different by ANOVA analysis (P>0.05). There was also no significant difference among the gender compared with the various ICAM-1 SNPs using R*C chi-square (P>0.05). The age-, sex- and BMI- were shown as the mean values in . Hypertension was defined as a systolic blood pressure greater than 130 mmHg or a diastolic blood pressure greater than 90 mmHg. The associations between blood pressure and ICAM-1 gene polymorphisms in patients with coronary atherosclerosis are shown in , We found that those with a GG genotype in rs5498 had a higher frequency of coronary atherosclerosis cases (P = 0.017, OR = 2.398, 95%CI 1.151–4.994). We also found a relationship between being a current or ex-smoker and possessing specific ICAM-1 gene polymorphisms by chi-square analysis; the TT genotype and the T allele were more frequently found in current or ex-smokers (P = 0.024 OR = 3.531, 95%CI 1.102–11.321 and P = 0.025, OR = 1.510, 95%CI 1.052–2.167, respectively) ( ).
Table 3

Hypertention or smoking and ICAM-1 gene polymorphisms (n = 604).

SNPsGenotypes and allelesHypertention or smokingP valueOR(95%CI)Global P
YesNo
HypertentionRs5491AA334(88.13%)197(87.56%)Reference0.922
AT44(11.61%)27(12.00%)0.8790.691(0.557–1.601)
TT1(0.26%)1(0.44%)0.605* 0.590(0.037–9.483)
A712(93.93%)421(93.56%)Reference
T46(6.07%)29(6.44%)0.7940.938(0.580–1.516
Rs281428CC292(77.04%)176(78.22%)Reference0.945
CT78(20.58%)44(19.56%)0.7541.068(0.706–1.617)
TT9(2.37%)5(2.22%)0.8851.085(0.358–3.289)
C662(87.34%)396(88.00%)Reference
T96(12.66%)54(12.00%)0.7351.063(0.745–1.518)
Rs281432CC171(45.12%)98(43.56%)Reference0.421
CG160(42.22%)105(46.67%)0.4470.873(0.616–1.239)
GG48(12.66%)22(9.77%)0.4361.250(0.713–2.194)
C502(66.23%)301(66.89%)Reference
G256(33.77%)149(33.11%)0.8141.030(0.804–1.319)
Rs5498AA187(49.34%)118(52.44%)Reference 0.049
AG154(40.63%)97(43.11%)0.9921.002(0.711–1.412)
GG 38(10.03%) 10(4.45%) 0.017 2.398(1.1514.994)
A528(69.66%)333(74.00%)Reference
G230(30.34%)117(26.00%)0.1071.240(0.955–1.610)
Rs281437CC300(79.16%)172(76.45%)Reference0.386
CT70(18.47%)50(22.22%)0.2910.803(0.534–1.208)
TT9(2.37%)3(1.33%)0.313* 1.720(0.459–6.439)
C670(88.39%)394(87.56%)Reference
T88(11.61%)56(12.44%)0.6650.924(0.646–1.321)
SmokingRs5491AA162(89.01%)369(87.44%)Reference0.672
AT19(10.44%)52(12.32%)0.5180.832(0.477–1.453)
TT1(0.55%)1(0.24%)0.519* 2.278(0.142–36.641)
A343(94.23%)790(93.60%)Reference
T21(5.77%)54(6.40%)0.6780.896(0.533–1.506)
Rs281428CC134(73.63%)334(79.15%)Reference0.266
CT42(23.08%)80(18.95%)0.2131.309(0.856–1.999)
TT6(3.29%)8(1.90%)0.2481.869(0.637–5.490)
C310(85.16%)748(88.63%)Reference
T54(14.84%)96(11.37%)0.0941.357(0.948–1.943)
Rs281432CC86(47.25%)183(43.36%)Reference0.577
CG74(40.66%)191(45.26%)0.3080.824(0.569–1.195)
GG22(12.09%)48(11.38%)0.9310.975(0.554–1.718)
C246(67.58%)557(66.00%)Reference
G118(32.42%)287(34.00%)0.5920.931(0.717–1.209)
Rs5498AA96(52.75%)209(49.53%)Reference0.634
AG74(40.66%)177(41.94%)0.6120.910(0.633–1.309)
GG12(6.59%)36(8.53%)0.3650.726(0.362–1.456)
A266(73.08%)595(70.50%)Reference
G98(26.92%)249(29.50%)0.3630.880(0.669–1.159)
Rs281437CC134(73.63%)338(80.10%)Reference 0.046
CT41(22.53%)79(18.72%)0.2161.309(0.854–2.006)
TT 7(3.84%) 5(1.18%) 0.024 3.531(1.10211.321)
C309(84.89%)755(89.45%)Reference
T 55(15.11%) 89(10.55%) 0.025 1.510(1.0522.167)

*Fisher Exact Test.

*Fisher Exact Test.

Association between clinical risk factors of coronary atherosclerosis and polymorphisms of ICAM-1 gene

We collected relevant clinical factors that may contribute to the stenosis of patients with coronary atherosclerosis, including total cholesterol (CHO), triglycerides (TG), high-density (HDL) and low-density lipoprotein cholesterol (LDL), apolipoprotein (APO), uric acid (UA) and fasting blood-glucose (GLU). According to our statistical analysis, patients with the GG genotype in rs281432 and rs5498 had a higher level of TG (P = 0.040 and 0.002, respectively, ). We found that patients with the AA genotype in rs5498 (P = 0.0002) and the TT in rs281437 (P = 0.039) had a higher level of APOA. Patients with the TT genotype in rs281437 also had a higher level of APOB (P = 0.003). We found no association between the ICAM-1 gene polymorphisms and other risk factors of coronary atherosclerotic stenosis, such as CHO, HDL, LDL, UA and GLU. The data regarding clinical risk factors were analyzed by ANOVA.
Table 4

Relationship between ICAM-1 polymorphisms and risk factor of coronary atherosclerosis in coronary stenosis patients.

VariableSNPs lociGenotypeP value
AAAaaa
CHO, mmol/Lrs54914.96±1.154.94±1.406.05±0.170.425
rs2814284.96±1.175.00±1.194.73±1.410.728
rs2814324.92±1.175.04±1.194.82±1.190.280
rs54984.95±1.204.96±1.185.08±1.030.777
rs2814374.96±1.194.98±1.175.08±1.180.924
TG, mmol/Lrs54911.98±1.462.35±2.113.66±2.370.060
rs2814281.99±1.382.12±1.992.69±2.570.202
rs2814322.08±1.601.89±1.30 2.40±2.17 0.040
rs54982.05±1.531.88±1.33 2.76±2.47 0.002
rs2814372.02±1.532.14±1.771.58±0.360.447
HDL, mmol/Lrs54911.16±0.251.12±0.211.07±0.020.494
rs2814281.15±0.241.18±0.251.08±0.170.227
rs2814321.13±0.241.17±0.241.15±0.230.153
rs54981.14±0.241.17±0.251.14±0.200.232
rs2814371.15±0.241.17±0.251.04±0.150.212
LDL, mmol/Lrs54912.99±0.942.97±1.173.70±0.400.576
rs2814283.00±0.972.98±0.932.89±1.550.911
rs2814322.96±0.963.06±0.982.85±0.970.219
rs54982.99±0.953.03±0.972.85±1.030.577
rs2814373.03±0.962.89±0.962.71±1.150.243
APOA, g/Lrs54911.27±0.251.24±0.221.38±0.020.538
rs2814281.27±0.241.29±0.261.23±0.230.505
rs2814321.25±0.251.28±0.241.29±0.250.291
rs5498 1.31±0.25 1.22±0.241.25±0.21 0.0002
rs2814371.28±0.251.22±0.23 1.32±0.26 0.039
APOB, g/Lrs54910.95±0.310.97±0.371.24±0.120.401
rs2814280.96±0.320.95±0.300.96±0.370.960
rs2814320.94±0.320.98±0.320.92±0.320.215
rs54980.98±0.310.94±0.330.90±0.330.116
rs2814370.97±0.320.87±0.28 1.06±0.47 0.003
UA, umol/Lrs5491356.72±97.97369.84±105.24383.50±64.600.541
rs281428360.22±98.67348.86±100.73378.70±80.650.390
rs281432362.02±92.81354.44±107.99359.09±83.480.675
rs5498358.35±94.52358.73±106.91356.39±79.860.989
rs281437358.25±97.87355.90±103.67386.91±86.240.585
GLU, mmol/Lrs54916.00±1.996.00±1.556.72±0.080.873
rs2814286.01±1.896.03±2.226.00±0.980.731
rs2814326.10±2.115.91±1.826.00±1.720.534
rs54986.06±2.035.91±1.836.14±1.980.579
rs2814376.03±1.985.92±1.885.73±1.000.764

rs5491 A/T, rs281428 C/T, rs281432 C/G, rs5498 A/G, rs281437 C/T.

CHO =  cholesterol; TG  =  Triglyceride; HDL  =  high-density lipoprotein cholesterol; LDL  =  low-density lipoprotein cholesterol; APO = apolipoprotein; UA = uric acid; GLU = fasting blood-glucose.

The data were analyzed by ANOVA and shown as mean value.

rs5491 A/T, rs281428 C/T, rs281432 C/G, rs5498 A/G, rs281437 C/T. CHO =  cholesterol; TG  =  Triglyceride; HDL  =  high-density lipoprotein cholesterol; LDL  =  low-density lipoprotein cholesterol; APO = apolipoprotein; UA = uric acid; GLU = fasting blood-glucose. The data were analyzed by ANOVA and shown as mean value.

Haplotypes of polymorphisms of ICAM-1 gene in coronary atherosclerosis

We identified a haplotype block using Haploview 4.1 ( ). As shown in , we found that there were four haplotypes that had a frequency of more than 5%, in ICAM-1 polymorphisms among the coronary atherosclerosis case and control groups. The haplotype Ars5491Crs281428Crs281432 had the highest frequency, but the haplotype Ars5491Crs281428Grs281432 had a higher frequency in cases than in controls (P = 0.0483).
Figure 2

Blocks of the haplotypes in ICAM-1 gene between coronary atherosclerosis cases and controls.

Table 5

Haplotypes of ICAM-1 gene and risk of coronary atherosclerosis.

HaplotypesFrequencyCasesControlsP value
Rs5491Rs281428Rs281432
ACC0.6740.6630.6880.2211
ACG0.1380.1510.121 0.0483
ATG0.1210.1230.1190.7571
TCG0.0650.0610.0700.4100
We analyzed the haplotypes of the ICAM-1 gene in those patients with hypertension or smoking. As shown in , the most frequent haplotype that appeared in cases and controls was Ars5491Crs281428Crs281432Ars5498Crs281437 (55.2%). We found no association between any haplotype of the ICAM-1 gene and the risk factors of hypertension or smoking in patients with coronary atherosclerosis (P>0.05).

Discussion

Coronary atherosclerosis is a common disease in the elderly population of China, though the disease has only recently become established in China.. The attachment of circulating monocytes to vascular endothelial cells is an important link in the growth regulatory mechanisms and formation of atherosclerosis [16], [17]. Adhesion molecules can mediate, this attachment, particularly ICAM-1, which participates in the proliferation and migration of cells [18]. ICAM-1, is a pivotal immuno adhesion molecule expressed on leukocytes and platelets. As an endothelial integrin ligands, ICAM-1 mediates the adhesion and migration of leukocytes to the endothelium, and it is seldom expressed in normal coronary arteries [19]. Thus ICAM-1 might be associated with the pathology of coronary atherosclerosis, especially the soluble conformation [6], [20]. Certain risk factors play an important roles in the occurrence and development of coronary atherosclerosis, such as smoking, hypertension, aberrant levels of triglycerides, LDL and total cholesterol [21], [22]. In this study, we selected six SNPs of the ICAM-1 gene using the HapMap database, but rs5496 was excluded because it has only one genotype. The other five SNPs were located in introns, exons or the 3′-UTR. The SNPs rs5491 and rs5498 were in exons; rs281428 and rs281432 were in introns; and rs281437 was in the 3′-UTR. The polymorphism in the exon, which leads to missense mutation, can affect the protein coding functions [23]. The rs5491 (A/T, Lys-Met) and rs5498 (A/G, Lys-Glu) are missense mutations. We found that rs5498 showed a significant difference between cases and controls in our study, so this SNP may affect the structure of ICAM-1 and even the binding ability. Traditionally, introns have not been deemed as important as other genetic structures. However, in recent years, introns have been found to perform a vital role in gene transcription, RNA stability and gene processing and therefore, polymorphisms in introns can induce the aberrant splicing because of a disruption of the splice site [24], [25]. The 3'-UTR can regulate gene expression at different levels, and mediates the stability, degradation, and subcellular localization of mRNA [26]. The 3′-UTR can also be the site of microRNA-binding [27]. The genotypes of the SNPs rs281428, rs281432 and rs281437 were not significantly different among the case and control groups in our study. We also found no genetic variations of ICAM-1 that were associated with the severity of coronary atherosclerotic stenosis. Serum total cholesterol (CHO), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels have a high correlation with coronary atherosclerosis [28], [29]. In our research, we found no relationship between the polymorphisms of the ICAM-1 gene and patients with coronary atherosclerosis. Apolipoprotein A (APOA) was an important clinical parameter for coronary atherosclerosis. It is well-known that a decrease in apolipoprotein A is associated with the coronary atherosclerotic stenosis [30], [31]. We found that a GG genotype in the SNP rs5498 and a TT genotype in the SNP rs281437 had higher levels of APOA, and therefore, patients with a TT genotype may be less at risk for coronary atherosclerosis. A high APOB serum level may be associated with hyperlipidemia and atherosclerosis [32], and therefore, the TT genotype in rs281437 may be a risk factor for atherosclerosis cases. Individuals with a high serum level of fasting blood-glucose (GLU) and triglycerides (TG) were highly susceptible to coronary atherosclerosis [33]. In this research, we found that a GG genotype of rs281432 and rs5498 was associated with a high level of TG in coronary atherosclerosis cases (P<0.05), especially for rs5498 (P<0.01). Thus, patients with a GG genotype of rs281432 and rs5498 in the ICAM-1 gene may be more susceptible to coronary stenosis. We found no polymorphisms association in GLU of patients. In the statistical analysis of ICAM-1 gene polymorphisms and coronary atherosclerosis, we found the statistical difference (P<0.05) in the genotypes, haplotypes and risk factors. But only few of the results had significant difference (P<0.01), so the further analyis of ICAM-1 gene polymorphisms and coronary atherosclerosis should focus on more samples and statistical analysis. To further identify the relationship between ICAM-1 gene polymorphisms and risk factors in patients with coronary atherosclerosis, including hypertension and smoking, the haplotypes of the ICAM-1 gene were analyzed by Haploview software. The haplotype block Ars5491Crs281428Crs281432 had the highest frequency, but the haplotype Ars5491Crs281428Grs281432 had a higher frequency in cases than in controls, and thus, possessing Ars5491Crs281428Grs281432 may be a risk factor for coronary atherosclerosis in Chinese individuals. There was no significant association between specific genotypes or alleles and hypertension or smoking in our study. The block Ars5491Crs281428Crs281432Ars5498Crs281437 was the most frequently observed among all haplotypes, but we detected no statistical difference in the haplotypes analysis between polymorphisms and hypertension or smoking. In this case-control study, we found the association between polymorphisms of ICAM-1 and coronary atherosclerosis patients with coronary stenosis. However, we found that several risk factors of atherosclerosis, such as the level of TG, APOA and APOB, had a relationship with the polymorphisms of ICAM-1 in coronary atherosclerosis cases. We found no other risk factors that were associated with the ICAM-1 gene polymorphisms, including sex, BMI, CHO, LDL, GLU, UA and smoking. Thus ICAM-1 genetic variations may be a relevant influencing factor when considering the risk factors of coronary atherosclerosis. The primer of each SNPs in ICAM-1 gene. (DOC) Click here for additional data file. Allele frequencies of ICAM-1 polymorphisms and their associations with coronary atherosclerosis risk. (DOC) Click here for additional data file. ICAM-1 gene polymorphisms and stenosis of coronary atherosclerosis. (DOC) Click here for additional data file. Association of ICAM-1 gene polymorphisms with patients' characteristics: Age-, Sex-, and BMI-. rs5491 A/T, rs281428 C/T, rs281432 C/G, rs5498 A/G, rs281437 C/T. Age and BMI were shown as mean and analyzed by ANOVA. Sex were shown as male percent and analyzed by chi-square. (DOC) Click here for additional data file. Association between the ICAM-1 haplotypes and Stenosis of Hypertention- and Smoking-. (DOC) Click here for additional data file.
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Review 1.  Atherosclerosis. the road ahead.

Authors:  C K Glass; J L Witztum
Journal:  Cell       Date:  2001-02-23       Impact factor: 41.582

Review 2.  Demystified...adhesion molecule deficiencies.

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Journal:  Mol Pathol       Date:  2001-02

3.  ACC/AHA guidelines for percutaneous coronary intervention (revision of the 1993 PTCA guidelines)-executive summary: a report of the American College of Cardiology/American Heart Association task force on practice guidelines (Committee to revise the 1993 guidelines for percutaneous transluminal coronary angioplasty) endorsed by the Society for Cardiac Angiography and Interventions.

Authors:  S C Smith; J T Dove; A K Jacobs; J W Kennedy; D Kereiakes; M J Kern; R E Kuntz; J J Popma; H V Schaff; D O Williams; R J Gibbons; J P Alpert; K A Eagle; D P Faxon; V Fuster; T J Gardner; G Gregoratos; R O Russell; S C Smith
Journal:  Circulation       Date:  2001-06-19       Impact factor: 29.690

4.  Growth regulatory mechanisms and formation of the lesions of atherosclerosis.

Authors:  R Ross
Journal:  Ann N Y Acad Sci       Date:  1995-01-17       Impact factor: 5.691

5.  Circulating cell adhesion molecules and death in patients with coronary artery disease.

Authors:  S Blankenberg; H J Rupprecht; C Bickel; D Peetz; G Hafner; L Tiret; J Meyer
Journal:  Circulation       Date:  2001-09-18       Impact factor: 29.690

6.  Soluble intercellular adhesion molecule-1 and long-term risk of acute coronary events in patients with chronic coronary heart disease. Data from the Bezafibrate Infarction Prevention (BIP) Study.

Authors:  Moti Haim; David Tanne; Valentina Boyko; Tamar Reshef; Uri Goldbourt; Jonathan Leor; Yoseph A Mekori; Solomon Behar
Journal:  J Am Coll Cardiol       Date:  2002-04-03       Impact factor: 24.094

7.  Phylogenetic mapping of intron positions: a case study of translation initiation factor eIF2gamma.

Authors:  Veiko Krauss; Marek Pecyna; Katrin Kurz; Heinz Sass
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8.  Levels of soluble adhesion molecules in various clinical presentations of coronary atherosclerosis.

Authors:  Umit Güray; A Riza Erbay; Yesim Güray; M Birhan Yilmaz; Asiye Ayca Boyaci; Hatice Sasmaz; Sule Korkmaz; Emine Kütük
Journal:  Int J Cardiol       Date:  2004-08       Impact factor: 4.164

9.  Apolipoprotein(a) size and lipoprotein(a) concentration and future risk of angina pectoris with evidence of severe coronary atherosclerosis in men: The Physicians' Health Study.

Authors:  Nader Rifai; Jing Ma; Frank M Sacks; Paul M Ridker; Wendy Jade L Hernandez; Meir J Stampfer; Santica M Marcovina
Journal:  Clin Chem       Date:  2004-05-20       Impact factor: 8.327

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Journal:  Atherosclerosis       Date:  2003-10       Impact factor: 5.162

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Authors:  C Anbarasan; M Bavanilatha; K Latchumanadhas; S Ajit Mullasari
Journal:  Indian Heart J       Date:  2015-05-16

2.  Association of intercellular adhesion molecule-1 single nucleotide polymorphisms with hepatocellular carcinoma susceptibility and clinicopathologic development.

Authors:  Tsung-Po Chen; Hsiang-Lin Lee; Yu-Hui Huang; Ming-Ju Hsieh; Whei-Ling Chiang; Wu-Hsien Kuo; Ming-Chih Chou; Shun-Fa Yang; Chao-Bin Yeh
Journal:  Tumour Biol       Date:  2015-09-05

3.  Interaction between arsenic exposure from drinking water and genetic polymorphisms on cardiovascular disease in Bangladesh: a prospective case-cohort study.

Authors:  Fen Wu; Farzana Jasmine; Muhammad G Kibriya; Mengling Liu; Xin Cheng; Faruque Parvez; Tariqul Islam; Alauddin Ahmed; Muhammad Rakibuz-Zaman; Jieying Jiang; Shantanu Roy; Rachelle Paul-Brutus; Vesna Slavkovich; Tariqul Islam; Diane Levy; Tyler J VanderWeele; Brandon L Pierce; Joseph H Graziano; Habibul Ahsan; Yu Chen
Journal:  Environ Health Perspect       Date:  2015-01-09       Impact factor: 9.031

4.  Association between NF-κB Pathway Gene Variants and sICAM1 Levels in Taiwanese.

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6.  Association between the ICAM-1 gene polymorphism and coronary heart disease risk: a meta-analysis.

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7.  Effects of coal-fired PM2.5 on the expression levels of atherosclerosis-related proteins and the phosphorylation level of MAPK in ApoE-/- mice.

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8.  Associations between the rs5498 (A > G) and rs281432 (C > G) polymorphisms of the ICAM1 gene and atherosclerotic cardiovascular disease risk, including hypercholesterolemia.

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  9 in total

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