Research Article - (2015) Volume 6, Issue 4
Objective: Diabetes mellitus is strongly associated with inflammatory procedures, obesity and macrovascular complications, while genetic factors are involved in the disease pathogenesis and its complications. The aim of this study was to examine the impact of A3872G polymorphism on C-reactive protein (CRP) gene on the prevalence of peripheral arterial disease (PAD) in Greek Caucasian subjects with type 2 diabetes mellitus (T2DM).
Methods: The study population consisted of 423 patients with T2DM. The A3872G polymorphism was detected by polymerase chain reaction and appropriate restriction enzyme digestion (HpyCH4III). High sensitivity CRP was assayed by particle-enhanced immunonephelometry. PAD was diagnosed using clinical or ultrasonography criteria and/or ankle brachial index <0.9.
Results: The genotype distribution (%) in PAD patients (GG: 48.1, AG: 29.1, AA: 22.8) did not differ significantly compared to non-PAD disease subjects (GG: 53.8, AG: 26.7, AA: 19.5), (P=0.258). After adjustment for classical risk factors, carriers of “A” allele (AG+AA) compared with GG homozygotes had higher odds (OR) for PAD, (AG+AA): 82 (40.0) vs. GG: 76 (34.2), (OR 1.622, 95% confidence intervals 1.029-2.536, P=0.037).
Conclusions: In Caucasian subjects with T2DM, the GG homozygotes of the A3872G genetic polymorphism on the C-reactive protein gene may be protected from the risk of peripheral arterial disease compared to carriers of the “A” allele. These results indicate a potential genetic role of inflammation in atherosclerosis in patients with type 2 diabetes mellitus.
Keywords: Type 2 diabetes mellitus; Peripheral arterial disease; C-reactive protein; Gene polymorphism; Waist-to-hip ratio
CRP: C-reactive Protein; T2DM: Type 2 Diabetes Mellitus; PAD: Peripheral Arterial Disease; WHR: Waist-to-hip Ratio; CVD: Cardiovascular Disease; ABI: Ankle Brachial Pressure Index; BMI: Body Mass Index; NCEP: National Cholesterol Education Program; PCR: Polymerase Chain Reaction; OR: Odds Ratio; CI: Confidence Intervals; HbA1c: Glycated Hemoglobin; GFR: Glomerular Filtration Rate; HDL-C: High-density Lipoprotein Cholesterol; LDL-C: Low-density Lipoprotein Cholesterol
The high prevalence of type 2 diabetes mellitus (T2DM) in patients with vascular disease is well established [1,2] and it accounts for the majority of risk associated with development of clinically significant peripheral arterial disease (PAD) characterized by symptoms of intermittent claudication or critical limb ischemia [3]. Diabetic patients are more prone to develop atherosclerosis in comparison to non-diabetic subjects. A variety of mechanisms may contribute to the increased risk of atherosclerosis in patients with T2DM [4]. In addition, chronic condition of arterial disease engenders inflammation and endothelial damage in response to inflammatory markers released in the blood stream of patients with T2DM [5]. Several known risk factors, including hyperglycemia, dyslipidemia, and insulin resistance which characterizes T2DM, acts in concert to target endothelial cells, resulting in oxidative stress and endothelial dysfunction [6]. The combined administration of metformin together with atorvastatin ameliorates inflammation in patients with T2DM [7].
C-reactive protein (CRP) is an inflammatory marker associated with T2DM, obesity, insulin resistance, and cardiovascular disease [8]. Furthermore, according to recent data, CRP is not an acute phase protein only but it is a mediator of atherogenesis, serving as a marker of acute coronary syndromes and cardiovascular disease (CVD) [9].
Notably, it has been recently suggested that common genetic variants within the CRP gene may affect baseline CRP levels and further modulate CRP response in subjects with CVD [10]. CRP gene polymorphisms may also be involved in the development of T2DM by increasing CRP levels [11], while pro-inflammatory genetic profiles are significantly more common in subjects with vascular disease [12]. However, the impact of a specific CRP gene polymorphism such as the A3872G on the presence and severity of PAD in T2DM remains uncertain.
In the present study, we examined the potential association between Adenine / Guanine (A3872G) CRP gene polymorphism with PAD prevalence in patients with T2DM.
Study population
The study enrolled 423 Greek Caucasians with T2DM according to the American Diabetes Association criteria [13]. In the total sample the diabetic participants were n (%) men: 216 (50.7), with hypertension: 322 (76.3), smokers: 69 (16.6), with PAD: 159 (37.58). Participants were recruited from the registries of Laiko General Hospital and Hippokration Hospital in Athens, based on the inclusion and exclusion criteria. All patients were under standard hypoglycemic, anti-hypertensive, hypolipidemic and anti-platelet therapy.
Presence of PAD was evaluated based on history of revascularization procedures at the leg arteries, typical symptoms of intermittent claudication or clinical signs such as presence of bruits proximally and findings of chronic ischaemia in the periphery such as cold feet, pallor on limb elevation and dependent rubor, trophic skin changes and distal gangrene, ischemic foot ulcers and reduced or non-palpable feet pulses. In addition, clinically significant (>50%) stenosis by doppler ultrasonography in lower leg arteries or ankle brachial pressure index (ABI) <0.9 we all considered as PAD. Hypercholesterolemia was defined as total cholesterol levels >200 mg/dl or the use of lipid lowering agents, according to the definition of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) [14]. Subjects were defined as hypertensive patients, if they had medical history of hypertension or arterial blood pressure ≥ 140/90 mm Hg in two consecutives consultancies or being under antihypertensive medication. Current smokers were defined as those who smoked at least one cigarette per day. Body weight and height were measured in light clothing without shoes and mass index (BMI) was calculated. Moreover, waist and hip circumference were measured and the waist-to-hip ratio (WHR) was calculated. We excluded patients with acute or chronic inflammatory diseases, malignancies, end stage renal disease requiring dialysis, acute coronary syndrome in the last 2 months, and severe liver disease.
The study was approved by the Institutional Ethics Committees, and an informed consent was given by all the participants. Blood samples were taken at the time of recruitment, for genotyping and for evaluation of serum levels of CRP, glucose levels and glycated hemoglobin (HbA1c).
Biochemical measurements
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. Serum concentrations of total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) were determined by using colorimetric enzymatic method in a Technicon automatic analyzer RA-1000 (Dade-Behring Marburg GmbH, Marburg, Germany). Serum hs-CRP levels were measured by particle-enhanced immunonephelometry (N Latex; Dade-Behring Marburg GmbH). HbA1c was measured by high performance liquid chromatography (ADAMS A1c, ARKRAY, Inc. Kyoto, Japan)
DNA extraction and genotyping
Genomic DNA was extracted from 2-5 ml of whole blood using standard methods (QIAamp DNA blood kit; Qiagen, West Sussex, UK). For the detection of A3872G (rs1205) polymorphism on CRP gene, we used primer pairs to amplify a part of the gene by Polymerase Chain Reaction (PCR) with the following flanking intronic primers: rs1205F: 5′cacaagagtggacgtgaa -3′ and rs1205R: 5′cttatagacctgggcagt-3′. The resulting product (630bps) was digested by HpyCH4III restriction endonuclease (3hrs at 37°C and resolution by electrophoresis at 1% agarose gel). Digested fragments were visualized after ethidium bromide staining under ultraviolet light. For PCR quality control, 10% of the samples were randomly selected and genotyped twice for quality assurance.
Statistical analysis
Genotype and allele frequencies as well as qualitative variables were compared between groups by chi-square analysis if conformed to Hardy-Weinberg equilibrium proportions and logistic regression analysis was used to estimate odds ratios (OR) and 95% confidence intervals (CI), of the development of PAD as a function of A3872G polymorphism. All OR were adjusted for age, gender, hypertension, smoking, duration of diabetes, lipids (HDL-C, LDL-C, triglycerides), HbA1c and glomerular filtration rate (GFR). Data are shown as mean ± SD, n (%) or median (interquartile range), as appropriate. Comparisons of continuous variables across the genotypes were performed by unpaired Student’s t-test, one-way ANOVA or the non-parametric Mann-Whitney and Kruskal-Wallis tests. All reported P values are based on two-sided tests and compared to a significance level of 5%. SPSS version 18.0 (SPSS, Chicago, IL) software was used for all the statistical calculations.
Polymorphisms and sample characteristics
The demographic and clinical characteristics of the participants stratified by PAD status are shown in Table 1. Patients with PAD in comparison with those without PAD were older (P<0.001), had more often hypertension (P=0.002) and higher arterial systolic blood pressure (P<0.001), higher WHR (P=0.007), lower HDL-C (P=0.007) and lower GFR (P<0.001). Total cholesterol levels were lower in those with PAD than in those without PAD (P=0.035).
Total | PAD | no PAD | Pvalue |
---|---|---|---|
CRP A3872G n (%) | 159(37.58) | 264(62.42) | 0.259 |
Gender (men/women) n (%) | 86(54.1)/73(45.9) | 130(49.2)/134(50.8) | 0.334 |
Hypertension (yes /no) n (%) | 134(84.3)/25(15.7) | 188(71.2)/76(28.8) | 0.002 |
Smokers (yes/no) n (%) | 26(16.4)/133(83.6) | 43(16.3)/221(83.7) | 0.986 |
Age (years) | 69.11 ± 8.606 | 65.06 ± 10.494 | 0 |
Duration of diabetes (years)* | 17(9.75-22.0) | 10(5.0-18.0) | 0 |
Body mass index (kg/m2) | 28.71 ± 4.992 | 29.05 ± 4.787 | 0.489 |
Waist (cm) | 100.92 ± 11.538 | 99.24 ± 12.566 | 0.172 |
Waist-to-hip ratio (m/m)* | 0.96(0.90-1.01) | 0.93(0.88-0.99) | 0.007 |
HbA1c (%), (mmol/mol) |
7.47 ± 1.309, 56.56 ± 9.911 |
7.30 ± 1.567, 55.27 ± 11.864 |
0.251 |
Glucose (mmol/l) | 8.620 ± 4.074 | 8.202 ± 3.632 | 0.277 |
Total cholesterol (mmol/l) | 4.727 ± 1.047 | 4.958 ± 1.110 | 0.035 |
LDL cholesterol (mmol/l) | 2.730 ± 0.931 | 2.907 ± 0.977 | 0.071 |
HDL cholesterol (mmol/l) | 1.202 ± 0.348 | 1.296 ± 0.345 | 0.007 |
Triglycerides (mmol/l)* | 1.468(1.084-2.056) | 1.435(1.070-1.969) | 0.42 |
hs-CRP (mg/l)* | 3.16(3.02-4.1) | 3.16(3.02-3.75) | 0.589 |
log hs-CRP | 0.60 ± 0.26 | 0.57 ± 0.19 | 0.312 |
GFR (ml/min) | 73.74 ± 27.88 | 87.52 ± 32.648 | 0 |
SBP (mmHg) | 138.96 ± 17.862 | 133.06 ± 14.535 | 0 |
DBP (mmHg) | 76.47 ± 10.753 | 77.12 ± 9.918 | 0.532 |
The data are shown as mean±SD. *Median values (25–75th percentile).
HbA1c, hemoglobin A1c; HDL cholesterol, high-density lipoprotein cholesterol; LDL cholesterol, low-density lipoprotein cholesterol; GFR, glomerular filtration rate; SBP, systolic blood pressure; DBP, diastolic blood pressure.
Table 1: Clinical and demographic characteristics of subjects with type 2 diabetes mellitus and or no peripheral arterial disease (PAD) by CRP A3872G polymorphism.
The prevalence of GG, AG and AA polymorphisms of the A3872G was not significantly different between men and women, between smokers and non-smokers and between hypertensive and normotensive participants. Similarly, genotype distribution of log-transformed CRP levels in PAD patients were not significantly different among the three genotypes (GG: 0.61 ± 0.29, AG: 0.57 ± 0.23, AA: 0.60 ± 0.23, P=0.648), (Table 2). Noteworthy, in patients without PAD, GG homozygotes had higher CRP levels compared with carriers of A allele, (GG: 0.61 ± 0.23) vs. (AG+AA: 0.54 ± 0.13), (P=0.007), (Table 2).
PAD | no PAD | |||||||
CRP A3872G | GG | AG | AA | P value | GG | AG | AA | P value |
hs-CRP (mg/l)* | 3.16(3.02-5.53) | 3.02(3.02-3.45) | 3.09(3.02-3.67) | 0.207 | 3.16(3.02-4.18) | 3.16(3.02-3.45) | 3.16(3.02-3.16) | 0.481 |
log hs-CRP | 0.62±0.29 | 0.57±0.24 | 0.59±0.24 | 0.648 | 0.61±0.24 | 0.55±0.14 | 0.53±0.13 | 0.023 |
CRP A3872G | GG | AG+AA | P value | GG | AG+AA | P value | ||
hs-CRP (mg/l)* | 3.16(3.02-4.13) | 0.083 | 3.16(3.02-3.16) | 0.228 | ||||
log hs-CRP | 0.58±0.24 | 0.427 | 0.54±0.14 | 0.007 |
The data are shown as mean ± SD. *Median values (25–75th percentile).
Hs-CRP; high sensitive C- reactive protein.
Table 2: C-reactive protein levels of subjects with type 2 diabetes mellitus and or no peripheral arterial disease (PAD) by CRP A3872G polymorphism.
There was a significant gender difference in patients with PAD, (males: GG: 47.4% vs. AG: 47.8% vs. AA: 75.0%, P=0.014). In the patients with PAD, the GG homozygotes had significantly higher levels of triglycerides; GG: 138.5 (109.75-195.75) mg/dl, in comparison with carriers of “A” allele; AG+AA: 123 (89.50-166.0) mg/dl, (P=0.029), but significantly lower WHR, than the AG, or the AA genotypes, GG: 0.95 (0.9-1.0) vs. AG: 0.96 (0.9-1.0) vs. AA: 1.0 (0.95-1.05), (P=0.031). No significant differences were found in serum triglycerides or in WHR in the patients without PAD.
The majority of patients (n=409, 95.1%) were under standard treatment for diabetes (sulfonylureas, metformin, glitazones, glinides, acarbose, dipeptidyl peptidase 4 inhibitors, glucagon-like peptide-1 receptor agonists or insulin). A total of 317 (73.9%) were on treatment for hypertension (angiotensin-converting-enzyme inhibitors, angiotensin receptor blockers, diuretics, alpha and beta adrenergic receptor antagonists or calcium channel blockers). A total of 226 (52.7%) were on treatment for dyslipidemia (mainly statins), and 179 (41.5%) were on anti-platelet therapy (aspirin or clopidogrel). Among the three genotypes no significant differences were found in the use of hypoglycemic (GG vs AG vs AA), (213 (95.9%) vs 110 (94.8%) vs 83 (93.3%), P=0.606), anti-hypertensive (162 (73.3%) vs 85 (73.3%) vs 68 (76.4%), P=0.838), hypolipidemic (117 (52.9%) vs 59 (50.9%) vs 48 (53.9%), P=0.898), or anti-platelet therapy (88 (39.6%) vs 52 (44.8%) vs 38 (42.7%), P=0.663), respectively.
Polymorphisms and PAD prevalence
Genotype distribution by CRP3872AG polymorphism in subjects with type 2 DM and PAD are presented in Table 3. Genotype distribution (%) in PAD patients (GG: 48.1, AG: 29.1, AA: 22.8) was not significantly different compared to non-PAD subjects (GG: 53.8, AG: 26.7, AA: 19.5), (P=0.258). Remarkably, after adjustment for gender, age, duration of diabetes, body mass index (BMI), smoking, hypertension, lipids, HbA1c and GFR, carriers of “A” allele compared with GG homozygotes had increased odds for having PAD; n% (AG+AA): 82 (40.0) vs GG: 76 (34.2), (P=0.037), (Table 4). In addition, because males with PAD were more often AA homozygotes, we examined the potential effect of the interaction of gender by AA allele on PAD and we did not find significant association in either unadjusted (P=0.54) or adjusted (P=0.62) models of logistic regression analysis.
PAD | no PAD | Pvalue (PAD vs no PAD) | |
Genotype distribution n(%) | |||
GG | 48.1 | 53.8 | |
AG | 29.1 | 26.7 | |
AA | 22.8 | 19.5 | 0.258 |
Recessive models | |||
GG+AG | 77.4 | 80.7 | |
AA | 22.6 | 19.3 | 0.413 |
AG+AA | 51.9 | 46.2 | |
GG | 48.1 | 53.8 | 0.256 |
Table 3: Genotype distribution by CRP A3872G polymorphism in subjects with type 2 diabetes mellitus according to the presence or not of peripheral arterial disease (PAD).
X2 | Pvalue | Unadjusted OR (95% CI) | Pvalue | Adjusted*OR (95% CI) | Pvalue | |
Peripheral arterial disease | ||||||
AGvsGG | 0.699 | 0.403 | 1.219 (0.766-1.941) | 0.404 | 1.602 (0.934-2.748) | 0.087 |
AAvsGG | 1.078 | 0.299 | 1.310 (0.787-2.180) | 0.3 | 1.685 (0.933-3.041) | 0.083 |
AAvsAG | 0.061 | 0.804 | 1.074 (0.610-1.892) | 0.804 | 1.029 (0.540-1.962) | 0.93 |
AA vs GG+AG | 0.671 | 0.413 | 1.22 2(0.756-1.977) | 0.413 | 1.447 (0.837-2.503) | 0.186 |
AG+AA vs GG | 1.289 | 0.256 | 1.257 (0.847-1.867) | 0.256 | 1.622 (1.029-2.536) | 0.037 |
*Adjusted parameters: gender, age, duration of diabetes, body mass index, smoking, hypertension, LDL cholesterol, HDL cholesterol, triglycerides, hemoglobin A1c, glomerular filtration rate OR, odds ratios; CI, confidence intervals
Table 4: The association between peripheral arterial disease of CRP A3872G polymorphism in subjects with type 2 diabetes mellitus by x2 and logistic regression analysis.
In the present study, we examined the impact of the A3872G polymorphism on CRP gene on the prevalence of PAD in patients with T2DM. Genotype distribution in PAD patients was not significant different compared to non-PAD subjects. The present polymorphism had a significant impact on CRP levels, as they were higher in GG homozygotes compared with carriers of “A” allele only in patients without PAD. Remarkably, we found a significant difference in the prevalence of PAD, as GG homozygotes showed significantly lower odds for PAD in comparison with carriers of “A” allele. In the patients with PAD, GG homozygotes had significantly lower WHR than AA homozygotes. This observation may indicate that the fat distribution may play a significant role in the development of PAD, as GG homozygotes who had lower WHR, seem to be protected from the prevalence of PAD.
In a cross-sectional study, involving 3,370 patients with symptomatic PAD the median values of CRP plasma levels were increased in parallel with the severity of PAD [15]. Other studies reported that the inflammatory biomarkers like fibrinogen and CRP may be involved in the progression of PAD in patients with T2DM patients [16]. Moreover, there was a significant negative correlation between ABI and high sensitivity CRP (hs-CRP) levels in subjects with T2DM, suggesting an association between serum CRP levels with the severity of PAD [17].
In the present study, we found that the A3872G polymorphism of the CRP gene has a significant impact on CRP levels only in patients without PAD, as they were higher in GG homozygotes compared to “A” allele carriers. This finding is in accordance with previous data supporting that A3872G variant in the CRP gene is associated with plasma CRP levels [18]. However, other studies reported that this variant was not associated with CRP levels in healthy elderly subjects [19]. Several other polymorphisms on CRP gene have been proposed as potential modulators of CRP levels and subsequently of CVD risk. According to nested case-control studies, even though common variants of the CRP gene were associated significantly with plasma CRP levels, these associations were not associated with established atherosclerosis [18]. Therefore, the underlying inflammatory processes that are involved in the development and progression of atherosclerosis cannot be explained solely by variation in the CRP gene. Confounders such as duration of diabetes, use of medications with effect on serum CRP levels like statins and angiotensin converting enzyme inhibitors as well as angiotensin receptor blockers and interactions with endothelial function, oxidative stress or other genes controlling inflammatory processes could possibly be involved in the pathogenesis of atherosclerosis.
Visceral fat is infiltrated by macrophages, which trigger insulin resistance, a precursor of T2DM [20] In addition, data derived from a systematic review have shown that waist and hip circumference may improve risk prediction models for CVD and other outcomes [21]. On a random sample of 193 non-insulin-dependent diabetic patients, lower extremity arterial disease was significantly related to central body fat distribution [22]. Our study shows that in patients with PAD, GG homozygotes had significantly lower WHR than AA homozygotes. This observation may indicate that the fat distribution can probably play a significant role in the development of PAD; however this finding requires further confirmation. Recent genome-wide association studies have recognized a great variety of loci associated with BMI and WHR.
Furthermore, several case-controls studies have assessed possible associations between CRP gene variants and clinical vascular disease. The CRP rs1800947, but not the 3872G/A variant, has been suggested as a useful prognostic marker of ischemic stroke [23]. Also, CRP gene -717A allele has been proposed to confer a protective effect against ischemic stroke, while other haplotypes may serve as independent risk markers for ischemic stroke [24]. Remarkably, the present study shows that “A” allele carriage compared with GG homozygosity, conferred an increased risk of PAD, after adjustment for all potential confounders. We also demonstrated for the first time that A3872G polymorphism on CRP gene may have a significant impact on both CRP levels and PAD prevalence in this diabetic population. Indeed, these findings seem fairly consistent, in contrast to the existing literature on CRP gene variants, as aforementioned. Nevertheless, the previous paradoxical findings on the association of CRP gene polymorphisms with CRP levels and vascular disease could be attributed to complex regulatory mechanisms, confounding interactions with conventional risk factors and variable genetic settings of the geographic population of the existing studies. Further studies are required in order to elucidate all controversies in these areas.
Diabetes mellitus is strongly associated with obesity and macrovascular complications including PAD. Inflammatory responses are also associated with T2DM, obesity, insulin resistance, and CVD, while genetic factors may participate in the disease pathogenesis and its clinical manifestations. In the present study we examined the impact of the A3872G polymorphism on CRP gene on the prevalence of PAD in Greek Caucasian patients with T2DM. We found that this variant may predict CRP levels in this population and may be a marker for increased prevalence of PAD. Moreover, we demonstrated that in patients without PAD, GG homozygotes had significantly lower WHR than AA homozygotes. This observation may indicate that the fat distribution may play a more significant role in the development of PAD, as GG homozygotes who have lower WHR seem to be protected from PAD and explains in part the genetic predisposition for the development of this complication. However, the exact mechanisms by which this inflammatory polymorphism exerts its biological effects are still not clear and further studies perhaps including other inflammatory agents as interleukins, anti-tumor necrosis factor or adiponectin are required to evaluate its contribution to the atherosclerotic pathways of the disease.
To the National University of Athens who supported the research in part by a research grant (S.A.R.G. 70/3/8615).