A single-nucleotide polymorphism in the human p27kip1gene (-838C>A) affects basal promoter activity and the risk of myocardial infarction
https://doi.org/10.1186/1741-7007-2-5
© González et al; licensee BioMed Central Ltd. 2004
Received: 19 December 2003
Accepted: 02 April 2004
Published: 02 April 2004
Abstract
Background
Excessive proliferation of vascular smooth muscle cells and leukocytes within the artery wall is a major event in the development of atherosclerosis. The growth suppressor p27kip1 associates with several cyclin-dependent kinase/cyclin complexes, thereby abrogating their capacity to induce progression through the cell cycle. Recent studies have implicated p27kip1 in the control of neointimal hyperplasia. For instance, p27kip1 ablation in apolipoprotein-E-null mice enhanced arterial cell proliferation and accelerated atherogenesis induced by dietary cholesterol. Therefore, p27kip1 is a candidate gene to modify the risk of developing atherosclerosis and associated ischaemic events (i.e., myocardial infarction and stroke).
Results
In this study we found three common single-nucleotide polymorphisms in the human p27kip1 gene (+326T>G [V109G], -79C>T, and -838C>A). The frequency of -838A carriers was significantly increased in myocardial infarction patients compared to healthy controls (odds ratio [OR] = 1.73, 95% confidence interval [95%CI] = 1.12–2.70). In addition, luciferase reporter constructs driven by the human p27kip1 gene promoter containing A at position -838 had decreased basal transcriptional activity when transiently transfected in Jurkat cells, compared with constructs bearing C in -838 (P = 0.04).
Conclusions
These data suggest that -838A is associated with reduced p27kip1 promoter activity and increased risk of myocardial infarction.
Keywords
Background
The proliferation of leukocytes and vascular smooth muscle cells (VSMCs) within the artery wall is a hallmark of the atherosclerotic process [1]. The exposure of coronary arteries to chemical and mechanical injury triggers an inflammatory response characterized by excessive arterial cell proliferation. Progression through the cell cycle depends on the sequential activation of several cyclin-dependent kinases (CDKs). Activation of CDKs requires their interaction with regulatory subunits named cyclins. In resting cells, cyclin–CDK complexes are inhibited by the reversible association with CDK inhibitory proteins (CKIs) of the Cip/Kip family (p21cip1, p27kip1, and p57kip2) and Ink4 family (p16Ink4a, p15Ink4b, p18Ink4c, p19Ink4d) [2].
In recent years, accumulating evidence has implicated p27kip1 as an important endogenous regulator of leukocyte and VSMC proliferation in various pathophysiological situations [3–7]. Remarkably, p27kip1 expression and proliferation of VSMCs and leukocytes are inversely correlated in human atheroma, and a significantly lower level of p27kip1 expression has been reported in primary atherosclerotic and restenotic tissue versus nondiseased arterial tissue [8–10]. We have previously shown that fat-fed mice deficient in both apolipoprotein E (apoE) and p27kip1 display increased arterial cell proliferation and accelerated atherogenesis compared to apoE-null mice with an intact p27kip1 gene [11]. We also found that reconstitution of sublethally irradiated apoE-null mice with p27kip1-deficient bone marrow was sufficient to enhance arterial macrophage proliferation and atherosclerosis induced by fat feeding [12]. In view of these findings, the present study was designed to assess whether p27kip1 is a candidate gene to modify the risk of developing atherosclerosis and consecutive myocardial infarction (MI) in humans.
Results
Identification of p27kip1polymorphisms and genotyping of MI patients and controls
Single-strand conformation analysis of the -838C>A polymorphism within the human p27 kip1 gene. Note the distinct electrophoretic patterns for AA homozygotes, CC homozygotes, and CA heterozygotes.
Primers used to amplify the p27kip1 gene for single-strand conformation analysis (SSCA).
Amplified sequence | Primer sequence* | Annealing temperature | PCR product length (bp) |
|---|---|---|---|
promoter | P5-F: GGAGGAAGGAAGGAGCTGTTGTA P5-R: AAGCCAAAGCGAACGTCTTTC | 62°C | 360 |
promoter | P4-F: ATGATAAGTGCCGCGTCTACTCCT P4-F: ACCAGAGGACCGCGAAGGT | 62°C | 310 |
promoter | P3-F: GGCCGAGCTGGGGGCAGCT P3-R: TTAACCTGGCCCCGGCGC | 66°C | 362 |
promoter | P2-F: TCGGGGAGGCGGCGCGCTCG P2-R: AGAGGGTGGCAAAGCCCGTC | 62°C | 360 |
promoter | P1-F: TGGGTTCGCGGGACCGCG P1-R: CTGCCTGGCGTCCATCCG | 62°C | 385 |
Exon 1 | E1-F: TGCGAGTGTCTAACGGGAGC E1-R: TTACCGTCGGTTGCAGGTC | 58°C | 472 |
Exon 2 | E2-F: TAAAGATTGTGTGTTCTTTTTAA E2-R: TATCGTGAGGTCTGAAGGCC | 55°C | 230 |
Primers used to genotype the single-nucleotide polymorphisms (SNPs).
SNP | Primer sequence* | Annealing temperature (Enzyme) | PCR product length after digestion (bp) |
|---|---|---|---|
-838C>A | F: TCCAGGTCCCGGCTTCCCGGt** R: CCTGCTCTGGCTGGCCTCGGAG | 65°C (TaqI) | 177 (A allele) 153+24 (C allele) |
-79C>T | F: TGATCAGCGGAGACTCGGCG R:CTGCCTGGCGTCCATCCG | 58°C (HaeIII) | 275 (T allele) 140+135 (C allele) |
+326T>G (V109G) | F: TGCGAGTGTCTAACGGGAGC R: TTACCGTCGGTTGCAGGTC | 58°C (BglI) | 472 (T allele) 316+156 (G allele) |
Genotype frequencies for the -838C>A, -79C>T, and V109G p27kip1 single-nucleotide polymorphisms (SNPs).
-838C>A* | |||
|---|---|---|---|
CC | CA | AA | |
Patients | 47 (26%) | 88 (49%) | 45 (25%) |
Controls | 95 (38%) | 115 (46%) | 40 (16%) |
-79C>T | |||
CC | CT | TT | |
Patients | 99 (55%) | 70 (39%) | 11 (6%) |
Controls | 152 (61%) | 82 (32%) | 16 (7%) |
V109G | |||
VV | VG | GG | |
Patients | 100 (55%) | 71 (40%) | 9 (5%) |
Controls | 143 (57%) | 98 (39%) | 9 (4%) |
Functional effect of the -838C>A polymorphism in the promoter region of the human p27kip1gene
Transcriptional activity in Jurkat cells transfected with luciferase reporter gene constructs driven by the p27 kip1 gene promoter containing the -838C or A allelic variants. Luciferase activity was normalized by the internal control green fluorescent protein. Data represent the means ± SD of six independent transfections (P = 0.04 in t-test).
Discussion
VSMC and macrophage proliferation within the artery wall is a major event in the development of the atherosclerotic lesion, a pathological hallmark of coronary artery disease. The CKI p27kip1 is a tumour suppressor that functions as a brake against excessive cell proliferation [2]. Several recent studies have suggested an important role for p27kip1 as a negative regulator of arterial cell proliferation and atheroma development. First, both whole body genetic ablation of p27kip1 and selective p27kip1 inactivation in haematopoietic precursors increase neointimal cell proliferation and accelerates atherosclerosis in fat-fed apoE-null mice [11, 12]. Second, evidence has been presented suggesting that p27kip1 expression and arterial cell proliferation are inversely correlated within human neointimal lesions [8–10].
In addition to environmental risk factors, such as smoking, hypertension, and hypercholesterolaemia, genetic factors may also increase the risk of atherosclerosis and associated ischaemic events. For example, evidence exists indicating that polymorphisms in the components of the renin–angiotensin system, nitric oxide synthases, apolipoproteins, and several cytokines/chemokines and growth factors could modulate the risk of suffering an episode of MI. Genetic variations must fulfil two criteria to be considered candidate modifiers of cardiovascular risk: the corresponding gene encodes a protein involved in vascular physiology or in atheroma development, and the nucleotide change affects gene expression and/or function. In the present study, we have investigated whether genetic variations within the p27kip1 are associated with increased risk of MI. Among the three SNPs described here, only -838C>A showed differences in allele frequency between cases and controls. Carriers of the -838A allele (AA+AC genotypes) would have an almost twofold risk of suffering an episode of MI compared to controls (OR = 1.73; 95%CI = 1.12–2.70), and the risk increased to twofold for AA homozygous (OR = 2.27; 95%CI = 1.26–4.10; AA versus CC).
Because -838C>A lies within the promoter region of p27kip1, we examined whether this SNP affects p27kip1 gene expression. Transient transfection experiments revealed a 34% reduction in promoter activity for -838A compared with the -838C allele. Thus, reduced p27kip1 expression in -838A carriers might facilitate neointimal hyperplasia and therefore accelerate atheroma progression and increase the risk of MI. Distinct transcription factor binding and/or activity may contribute to the difference in -838A and -838C p27kip1 promoter activity. Indeed, analysis of the promoter sequence containing the -838C>A SNP using the MatInspector v2.2 and TRANSFAC v7.3 software revealed potential binding sites for several transcription factors, including STAT and IK-2. However, additional studies are required to conclusively address whether specific transcription factors are involved in different transcriptional activation of -838A versus -838C. These studies should provide valuable insight not only for atherosclerosis but also for cancer, as p27kip1 expression appears to be altered in some human tumors [18, 19].
The use of SSCA to identify p27kip1 SNPs may be a limitation of our study, because this technique apparently fails to identify approximately 20% of SNPs. Therefore, additional functionally relevant p27kip1 SNPs may exist. We also recognize that the number of cases analysed in our study is limited. This was mostly because we included only patients with angiographically diseased vessels, a strategy that was deemed important because p27kip1 has been involved in the control of neointimal thickening [8–12]. The possibility of false-positive results due to population stratification must be considered in association studies, but this is unlikely to occur in our study because we analysed individuals from a homogeneous white population. In addition, genotype frequencies were in the Hardy–Weinberg equilibrium in both groups, suggesting that the observed frequencies are representative of cases and controls.
Conclusions
Three polymorphisms of the human p27kip1 gene (-838C>A, -79C>T, and V109G) were analysed as candidates to modify the risk of suffering MI. We found a significantly higher frequency of the -838A carriers in MI patients compared to controls. Importantly, this polymorphism was associated with reduced basal p27kip1gene promoter activity. We suggest that reduced p27kip1 expression in -838A carriers may facilitate the proliferative response associated with atherosclerosis, thus increasing the risk of MI in these individuals.
Methods
Subjects
A total of 180 patients who had suffered an episode of MI were included in the present study. All patients were male, no more than 55 years of age, and had at least one angiographically diseased vessel (a vessel was considered diseased when the angiography showed a narrowing of at least 70% in the lumen diameter). These patients were recruited for a search of genetic factors involved in MI [20].
The control group consisted of 250 healthy males younger than 55 years (blood bank donors and Hospital Universitario Central de Asturias staff). Although control subjects did not have a history of cardiovascular disease, they were not angiographically analysed to exclude the presence of diseased vessels. Patients and controls were white and were all from the same region (Asturias, northern Spain, 1 million total population) and gave their informed consent to participate in the study, which was approved by the Ethical Committee of the Hospital Universitario Central de Asturias.
Identification and genotyping of SNPs within the human p27kip1gene
Genomic DNA was obtained from each individual included in the study. In the search for p27kip1 SNPs, we analysed 50 patients and 50 controls using SSCA. The entire p27kip1 coding sequence and 1500 nucleotides of the promoter region were amplified in overlapping fragments of 300–450 base pairs by PCR (Table 1 shows the sequences of the PCR primers; the sequence of the p27kip1 gene was obtained from http://ncbi.nlm.nih.gov, accession number NT009714). SSCA analysis was performed as previously described [21]. The DNA from samples showing atypical electrophoretic patterns was amplified, purified, and sequenced using an automated ABI310 system.
For genotyping of the three SNPs in patients and controls, genomic DNA was amplified by PCR to generate DNA fragments containing the SNP, and these fragments were digested with restriction enzymes that produced distinct patterns of digestion depending on the allele present (primers and restriction enzymes are listed in Table 2). The digested fragments were electrophoresed on 3% agarose gels, and the pattern corresponding to each individual was visualized after ethidium bromide staining of the gel.
Construction of p27kip1reporter vectors
DNA fragments from the 5' flanking region of the p27kip1gene between nucleotides – 1100 to -27, containing either C or A at -838, were generated through PCR of two CC and AA homozygous individuals with forward (TATGATGGTACCAGACGTTCGCTTTGGCTTC) and reverse (GCACGAAAGCTTCTCTCGCACTCTCAAAAA) primers containing KpnI and HindIII sites, respectively. The PCR products were cloned into the pGL3-Basic plasmid (Promega, Madison, WI, USA) to generate pGL3-p27kip1 C (-838C) and pGL3-p27kip1 A (-838A). For each genotype, two plasmids were generated and confirmed by direct sequencing.
Cell culture and luciferase reporter gene assays
Jurkat cells (American Type Culture Collection) were incubated at 37°C in a humidified 5% CO2–95% O2 atmosphere in RPMI medium supplemented with 100U/ml penicillin, 0.1 mg/ml streptomycin, 2 mmol/l L-glutamine, and 10% fetal calf serum. Transfections were performed with SuperFect Transfection Reagent following the manufacturer's protocol (Quiagen, Valencia, CA, USA). In a blinded manner, the promoter/luciferase reporter gene (2 μg) was cotransfected with 1 μg of pEGFP-N1 control vector. Three independent transfections were done for each of the four reporter genes (2 pGL3-p27kip1 C and 2 pGL3-p27kip1 A, a total of six transfections for each SNP). For luciferase activity assay, cells were collected by centrifugation, washed twice with PBS, and lysed with 100 μl of cell lysis reagent (Promega). Insoluble protein was removed by a 10-minute centrifugation at 15,000 g, and the supernatants were immediately assayed for luciferase activity and green fluorescence. Luciferase assays were performed using a Victor 4120 multilabel counter (Perkin Elmer, Boston, MA, USA) and the Promega luciferase assay kit. Cell extract (50 μl) and 100 μl of luciferin mixture were incubated for 5 s and light output was monitored for 5 s. For each sample, arbitrary light units from luciferase were normalized versus the measure of green fluorescence.
Statistical analysis
Allele and genotype frequencies in patients and controls were compared using a chi-square test. This test was also used to determine if the observed genotype frequencies in cases and controls differed from those expected under the Hardy–Weinberg equilibrium. Multivariate analysis was used to compare the genotype and allele frequencies between the groups according to the presence/absence of classical risk factors. Odds ratios (OR) with 95% confidence intervals (CI) were obtained to calculate the relative risk of MI associated with the genotypes. The results of transfections were analysed by two-tailed unpaired t-test. All statistical analyses were performed with the SPSS statistical package (v.11.0).
Declarations
Acknowledgements
PG was the recipient of a fellowship from the Fundación para el Fomento en Asturias de la Investigación Científica Aplicada y Tecnológica (FICYT, BP 01-082). AD-J received salary support from Fondo Social Europeo (CSIC-Programa I3P). We thank MJ Andrés-Manzano for preparing the figures. This work was supported by grants from the Spanish Fondo de Investigaciones Sanitarias to EC (FIS 03/05) and from the Spanish Ministry of Science and Technology and Fondo Europeo de Desarrollo Regional to VAndrés (SAF2002-1443).
Authors’ Affiliations
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