Home Role of SNPs of CPTIA and CROT genes in the carnitine-shuttle in coronary artery disease: a case-control study
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Role of SNPs of CPTIA and CROT genes in the carnitine-shuttle in coronary artery disease: a case-control study

  • Aslihan Demircan , Ender Coskunpinar , Deniz Kanca , Gulcin Ozkara , Fatih Yanar , Ozlem Kurnaz-Gomleksiz , Zehra Bugra , Oguz Ozturk and Hulya Yilmaz Aydogan ORCID logo EMAIL logo
Published/Copyright: July 26, 2019

Abstract

Objective

Fatty acid β-oxidation defects can lead to difficulties at covering energy requirement of heart. The carnitine-shuttle is responsible for the transfering of long-chain fatty acids from the internal mitochondrial membrane. The role of genetic variants of the enzymes in the carnitine shuttle in coronary artery disease (CAD) has not been studied. Therefore, we performed a case-control study investigating the possible relation between the CPTIA-rs3019613 and CROT-rs2214930 gene variations located carnitine shuttle and CAD risk.

Materials and methods

Study groups were comprised of 96 CAD patients and 85 controls. CPTIA-rs3019613 G > A and CROT-rs2214930 T > C polymorphisms were determined by real-time-PCR.

Results

The CROT-rs2214930-CC genotype was found to be associated with decreased HDL-cholesterol (HDL-C) in controls (p = 0.029). In patients with CPTIA-rs3019613-A allele, body mass index (BMI) (p = 0.016) and BMI threshold-value (p = 0.030) were found be higher compared to those with GG-genotype, while HDL-C threshold-value (HDL-C ≤ 0.90 mmol/L) was found to be lower (p = 0.015). Regression analysis confirmed CPTIA-rs3019613-A allele has a significant relationship with decreased HDL-C (p = 0.009) in patients.

Conclusion

Our study indicated that the polymorphisms of the CROT and CPTIA genes related to β-oxidation of long-chain fatty acids had an important effect on serum HDL-C levels and may be a potential risk for CAD.

Öz

Amaç

Yağ asit β oksidasyonundaki defektler kardiyovasküler problemlere ve kalbin ihtiyacı olan enerjinin karşılanmasında güçlüklere yol açabilir. Karnitin mekiği, uzun zincirli yağ asitlerinin iç mitokondriyal zardan transferinden sorumludur. Koroner arter hastalığında (KAH) karnitin mekiğindeki enzimlerin genetik varyantlarının rolü henüz çalışılmamıştır. Bu nedenle karnitin mekiğinde yer alan CPTIA rs3019613 G > A ve CROT rs2214930 T > C gen varyasyonları ile KAH riski arasındaki olası ilişkiyi araştıran bir vaka kontrol çalışması yaptık.

Gereç ve yöntem

Çalışma grupları 96 KAH hastası ve 85 kontrolden oluşturulmuştur. CPTIA rs3019613-G > A ve CROT rs2214930 T > C polimorfizmleri gerçek zamanlı PZR ile tespit edilmiştir.

Bulgular

Kontrol grubunda CROT rs2214930 CC genotipi düşük HDL-Kolesterol (HDL-K) düzeyleri ile ilişkili bulunmuştur (p = 0.029). CPTIA rs3019613 A aleli olan hastalarda GG genotipli olanlara göre, vücut kitle indeksi (VKİ) (p = 0.016) ve VKİ eşik değeri (p = 0.030) daha yüksek iken, HDL-K eşik değeri (HDL-C ≤ 0.90 mmol/1) daha düşük bulundu (p = 0.015). Regresyon analizi, CPTIA rs3019613 A alelinin, hastalarda azalmış HDL-K (p = 0.009) ile ilişkisini doğrulamıştır.

Sonuç

Çalışmamız uzun-zincirli yağ asitlerinin β oksidasyonu ile ilişkili olan CROT ve CPTIA gen polimorfizmlerinin serum HDL-K düzeylerine önemli etkisi olduğunu ve KAH için potansiyel risk olabileceğine işaret etmektedir.

Introduction

The heart is an organ of high energy demand and requires continuous ATP production in order to maintain its contractile function, basal metabolic processes, and its ionic balance. The main energy fuels used by the heart are carbohydrates and fats. ATP production at large part of the normal adult heart (approximately 95%) is provided by mitochondrial oxidative phosphorylation and the rest is by GTP generated from glycolysis and tricarboxylic acid cycle (TCA) [1]. There is substantial evidence that affecting cardiac mitochondrial energy production by changing long-chain fatty acid oxidation, can influence to heart diseases. In obese Zucher rat, it was observed that the long-chain fatty acyl-CoAs cannot be oxidized in the condition of the fatty acid uptake by the cell exceeds exceeds β-oxidation. The resulting lipid accumulation leads to contractile dysfunction [2]. Sharma et al. observed that lipid accumulation in myocardium cause to increase of toxic lipid intermediates leading to lipotoxicity [3]. Zhou et al. reported that the disruption of cardiac function and energy metabolism by lipotoxicity may contribute to the development of progressive myocardial atrophy and protein breakdown [4]. In cardiac tissue, the acetyl-CoA carboxylase 2 (ACC2) isoform is an important regulator of mitochondrial fatty acid uptake by carnitine palmitoyltransferase-I (CPTI). Essop et al. reported that the Acc2-mutant mice had about decreased 25% left ventricular mass compared with Acc2-wild types [5].

Fatty acid entry into mitochondria via carnitine shuttle in order to produce energy by β-oxidation is carried out by three different proteins [6], [7]. CPTI is localized within intermembrane space of the inner mitochondrial membrane. Acyl-CoA catalyzes separation of acyl which is connected to CoA-SH group and transfer to OH group of carnitine at intermembrane space. Carnitine forms an ester-bond with long chain carboxylic acids through this protein [8]. Carnitine palmitoyltransferase 2 (CPTII) is located on the matrix side of the inner membrane surface and catalyzes retransfer of an acyl group, which is previously transferred by CPTI, from carnitine to CoA [6], [7]. Carnitine-acylcarnitine translocase, which is located on the mitochondrial membrane, provides acyl-carnitine entry into the mitochondria while carnitine is being moved out as antiport reaction [6]. Carnitine octanoyl transferase (CROT) is a kind of acyltransferase which catalyzes the reversible transfer of acyl groups between carnitine and CoA [9].

Carnitine palmitoyltransferase I, which is encoded by CPT1 gene is rate limiting enzyme for β-oxidation of fatty acids. CPT1 is inhibited by malonyl-CoA protein which is expressed by CPTIA gene and it provides rate-control of β-oxidation in all tissues [10]. Three isoforms of CPT1 gene were described. CPTIB is expressed in muscle while CPTIA is found in most of the tissues and especially in the brain [8]. It is lethal when CPTIA and CPTIB are knocked out and is still unknown the exact role of CPT1 in hemostasis of energy [11], [12]. However, several studies have been performed to emerging the function of CPTIA in different metabolic disorders. It was shown that the spontaneous mutations in CPTIA gene result in repeated hepatic insufficiency of CPTAI, hypoketotic hypoglycemia, hepatomegaly, stroke, and coma. Blockage of CPTI activity by selected inhibitors protects the heart from fatty-acid induced ischemic injury and changed the activity of hypothalamic CPTI by molecular and pharmacological approaches effects endogen production of glucose have been declared in previous studies [13].

Carnitine octanoyl transferase which is encoded by CROT gene transforms 4,8-dimethyl-nonanoyl-CoA to adequate carnitine ester. This transesterification process takes place at peroxisome and it is required for transport of medium and long-chain acyl-CoA molecules from outside of peroxisome to cytosol and mitochondria. Thus, the protein product of CROT gene has an important role in lipid metabolism and fatty acid β-oxidation [9].

β-Oxidation of fatty acids is the main energy source used to maintain contractile function in especially heart and skeletal muscle [14]. Therefore, the defect/dysregulation in the β-oxidation in the heart may result in a decrease in energy input of the heart. In many studies, it was investigated the association of CPTIA gene variations with the obesity [15] and lipid disorders [8], [16]. However, the effects of the variations in both CPTIA and CROT genes on coronary artery disease (CAD) risk factors have not been investigated. Martin et al. [17] studied activities of CPTI and CPTII enzymes in the myocardial tissue from patients with congestive heart failure, and from control donor hearts. They reported that CPTI and CPTII activities decreased in patients and they suggested that deficiency of CPT enzyme activity may be related to ventricle function. Therefore, in the present study, we questioned whether the combination of CPTIA rs3019613-G>A and CROT rs2214930-T>C gene variations and risk of CAD and association with lipid parameters in patients with CAD. This is the first study investigating the effect of variations in both CPTIA and CROT genes on lipid/obesity parameters in CAD.

Materials and methods

Characteristics of the study groups

In the present case-control study, CPTIA and CROT gene variations were studied in 96 CAD patients (38 women/58 men) and 85 healthy controls (35 women/50 men). Patients with CAD were in the follow-up of Department of Cardiology in Istanbul Faculty of Medicine, Istanbul University between October 2013 and February 2014. All patients were receiving statin therapy. Severe CAD was documented by angiography. Angiographic inclusion criteria were 50% diameter stenosis of at least one major coronary vessel due to atherosclerosis, and a vascular event.

Randomly selected healthy controls, who were free from any symptoms of CAD, were recruited when they were attending Istanbul Faculty of Medicine, for a routine examination. The presence of atherosclerotic coronary arteries could not be excluded due to coronary angiography was not performed on these individuals. Although coronary angiography is commonly used for diagnosing the presence of CAD, it is undesirable for use as a diagnostic tool in asymptomatic subjects due to an invasive procedure. However, none of control subjects had any history of vascular event and, any chronic diseases, including hepatic, renal, or thyroid. Full histories were taken from all participants with special emphasis on coronary risk factors including smoking, family history of CAD, diabetes mellitus, hyperlipidemia, and hypertension. In CAD group, 51% of the patients had type 2 diabetes mellitus (DM) and 38.6% of the patients had left ventricular hypertrophy (LVH).

Genotyping

The peripheral blood samples of participants were collected in EDTA tubes and genomic DNA isolations were carried out according to the commercial kit protocol (Roche Diagnostics, GmbH, Mannheim, Germany). CPTIA rs3019613-G>A and CROT rs2214930-T>C polymorphisms were investigated with real-time polymerase chain reaction (Real-time PCR). Real-time PCR analysis was performed using the LightCycler 480 (Roche Diagnostics) in a total reaction mixture volume of 20 μL containing 10.4 μL dH2O, 1.6 μL MgCl2 (25 mM), 2.0 μL LightCycler FastStart HybProbe Reaction Mix and LightCycler FastStart Enzyme Mixture (Roche Diagnostics, GmbH, Mannheim, Germany), 1.0 μL fluorescently labelled LightSNiP primer-probe set (TIB Molbiol GmbH, Berlin, Germany) and 5 μL DNA sample (100 ng/μL).

Statistical analysis

“PS Power and Sample Size Calculation” package program was used to determine power analyze to be screened for CAD risk in the polymorphisms of CROT and CPT1A genes. The study sample of 181 subjects (96 cases, 85 controls) provided adequate statistical power to show an association of the CROT rs2214930 and CPT1A rs3019613 variations and risk of CAD. Our study had a 77.0% power (α=0.05) to detect the difference in CROT rs2214930 gene variation distribution and 62.0% power (α=0.05) CPT1A rs3019613 gene variation distribution between the patients and controls.

SPSS software package program (revision 20.0 SPSS Inc., Chicago, IL, USA) was used for statistical analysis. Differences in the distribution of the genotypes and alleles of the CPTIA and CROT genes between age-matched study groups was tested using the Chi-square (χ2) statistic. The statistical analyses of the biochemical and clinical parameters between the patients and the controls that share the same genotypes were performed by using the χ2 test. The allele frequencies were estimated by gene counting methods. The Hardy-Weinberg equilibrium (HWE) was tested for each polymorphism.

Student’s t-test was performed for comparison of quantitative data (mean, standard deviation) such as serum lipid levels, blood pressure, and body mass index (BMI). The value of p<0.05 with 95% confidence interval (CI) was considered as statistical significance.

Linear Logistic regression analysis was performed to assess the effects of CPT1A rs3019613 polymorphism on increased BMI (BMI value classified as above or below 27 kg/m2) and decreased serum HDL-cholesterol (HDL-C) (HDL-C level classified as above or below 0.90 mmol/L) in patients with CAD group (Table 6). In the multivariate regression models, increased BMI (BMI ≥27) (Model A) and low HDL-C levels (HDL-C ≤0.90 mmol/L) (Model B) as the dependent variables were used. Models included sex, CPT1A rs3019613 A allele, type 2 diabetes mellitus, age ≥60 and smoking as independent variables.

Results

Clinical investigation

Clinical and metabolic characteristics of study groups are summarized in Table 1. Smoking was higher in the CAD group (50.0%) than the healthy controls (34.2%) (p=0.04). As expected, in the patient group total cholesterol (TC) (p=0.004), systolic (SBP) (p=0.004) and diastolic (DBP) blood pressures (p<0.001) were higher compared to healthy controls, whereas serum HDL-C level was found to be lower (p=0.001). In addition, threshold HDL-C ≤0.90 mmol/L (p=0.006) and BMI (BMI ≥27 kg/m2) values (p=0.008) were higher compared to healthy controls, while TC ≥5.18 mmol/L, triglyceride (TG) ≥1.70 mmol/L and LDL cholesterol (LDL-C) ≥3.36 mmol/L did not show that there were any significant differences in between study groups (p>0.05).

Table 1:

Demographic and metabolic characteristics of study groups.

Groups
Control (n=85)CAD Patient (n=96)p-Value
Age (year)59.53±5.7660.20±8.240.533
Gender (female/male) (n)35/5038/580.827
BMI (kg/m2)25.57±3.3126.58±3.780.073
Total-C (mmol/L)4.59±1.055.13±1.370.004
TG (mmol/L)1.50±0.581.63±0.810.196
HDL-C (mmol/L)1.14±0.280.99±0.230.001
LDL-C (mmol/L)3.02±0.833.21±0.930.172
VLDL-C (mmol/L)0.70±0.240.76±0.370.206
TC≥5.18 mmol/L (%)34.140.60.374
TG≥1.70 mmol/L (%)33.840.00.395
LDL≥3.36 mmol/L (%)39.039.80.918
HDL≤0.90 mmol/L (%)13.430.90.006
BMI≥27 (kg/m2)30.150.60.008
SBP (mmHg)124.46±15.38135.55±31.850.004
DBP (mmHg)72.03±13.2783.46±17.650.001
Smoking (%)34.2%50.0%0.040
Alcohol consumption (%)9.2%20.8%0.076
Positive family history of CAD (%)32.8%40.8%0.397
Type 2 diabetes (%)52.1%
LVH (%)41.3%
  1. Age, serum lipid, BMI, and the blood pressure values are given as mean±standard deviation (X±SD) and the other parameters are given as percentages in the table (%). Statistical analysis were performed by Student’s t-test and χ2 test. CAD, Coronary artery disease; BMI, body mass index; TG, triglyceride; HDL-C, HDL-cholesterol; LDL-C, LDL-cholesterol; VLDL-C, VLDL-cholesterol; LVH, left ventricular hypertrophy; SBP, systolic blood pressure; DBP, diastolic blood pressure; n, number of samples. Bold values indicate statistical significance (p<0.05).

The frequency of CPTIA rs3019613 and CROT rs2214930 SNPs

The distributions of CPTIA rs3019613 and CROT rs2214930 polymorphisms were consistent with HWE (p>0.05) (Table 2). No significant differences were observed in genotype and allele frequencies of CPTIA rs3019613 between control and patient groups (p>0.05). While common G allele frequency of CPTIA gene rs3019613 SNP was 82.35% in the control group, rare A allele frequency was found 17.65%, in the CAD group it was 82.81%, and 17.19%, respectively.

Table 2:

Genotype and allele distribution of CPT1A and CROT genes.

Study groups
Control (n=85)CAD patient (n=96)
CPT1A rs3019613 genotypes
 GG59 (69.4%)67 (69.8%)
 AA4 (4.7%)4 (4.2%)
 GA22 (25.9%)25 (26.0%)
HWEp>0.05p>0.05
CPT1A rs3019613 alleles
 G140 (82.35%)159 (82.81%)
 A30 (17.65%)33 (17.19%)
CROT rs2214930 genotypes
 CC22 (25.9%)19 (19.8%)
 TT22 (25.9%)28 (29.2%)
 CT41 (48.2%)49 (51.0%)
HWEp>0.05p>0.05
CROT rs2214930 alleles
 C85 (50.0%)87 (45.31%)
 T85 (50.0%)105 (54.69%)
  1. CAD, Coronary artery disease; HWE, Hardy-Weinberg disequilibrium; n, number of samples.

The frequencies of CROT gene rs2214930 SNP C and T alleles among the patients with control were 50.0% and 50.0%, and the CAD subjects were 45.31% and 54.69%, respectively. There was no association in the distribution of genotypes of CROT rs2214930 and the risk of CAD (p>0.05).

The effect of CPTIA rs3019613 and CROT rs2214930 SNPs on clinical parameters

The investigation of the effects of the CPTIA gene rs3019613 polymorphism on serum lipid profile, blood pressure and BMI showed that rare A allele carriers have higher BMI values compared to homozygote GG carriers in the CAD group (p=0.016), yet it was observed no effect of the CPTIA rs3019613 variant on serum lipid and blood pressure levels in the controls (p>0.05) (Table 3).

Table 3:

Comparisons of the effects of CPT1A rs3019613 SNP on serum lipid profile, blood pressure, and body mass index.

GroupCPT1A rs3019613
GG genotypeA allele (AA+GA)p-Value
Controln=59n=26
 Total-C (mmol/L)4.70±0.994.32±1.170.136
 TG (mmol/L)1.54±0.591.40±0.530.322
 HDL-C (mmol/L)1.12±0.261.19±0.320.372
 LDL-C (mmol/L)3.10±0.832.85±0.810.213
 VLDL-C (mmol/L)0.70±0.190.68±0.350.814
 BMI (kg/m2)25.31±2.9126.21±4.120.265
 SBP (mmHg)124.00±15.97125.62±14.100.686
 DBP (mmHg)71.47±14.3073.43±10.410.571
Patients with CADn=67n=29
 Total-C (mmol/L)5.17±1.285.03±1.600.660
 TG (mmol/L)1.64±0.871.60±0.670.815
 HDL-C (mmol/L)1.02±0.230.92±0.230.066
 LDL-C (mmol/L)3.29±1.023.03±0.700.157
 VLDL-C (mmol/L)0.76±0.390.74±0.300.754
 BMI (kg/m2)25.91±3.8228.16±3.240.016
 SBP (mmHg)132.27±30.34143.33±34.530.131
 DBP (mmHg)81.72±16.4887.59±19.870.148
  1. Data are given as X+SD in the table. Statistical analysis was performed by Student’s t-test. CAD, Coronary artery disease; BMI, body mass index; TG, triglyceride; HDL-C, HDL-cholesterol; LDL-C, LDL-cholesterol; VLDL-C, VLDL-cholesterol; SBP, systolic blood pressure; DBP, diastolic blood pressure; n, number of samples.

When we investigated the effects of CROT rs2214930 genotypes on serum lipid profile, blood pressure, and BMI by Student’s t-test, we found that the CC allele was associated with decreased serum HDL-C levels (p=0.029) and TT genotype was prone to have increased LDL-C levels (p=0.058) in the controls. However, it was not observed any association between CROT rs2214930 SNP and serum lipid profile, blood pressure, and BMI values in the CAD group (p>0.05) (Table 4).

Table 4:

The effects of CROT rs2214930 SNP on metabolic parameters.

GroupCROT rs2214930
TTC allelep-ValueCCT allelep-Value
Controln=22n=63n=22n=63
 Total-C (mmol/L)4.80±1.204.51±0.990.2714.45±1.104.64±1.040.472
 TG (mmol/L)1.46±0.451.51±0.620.7621.58±0.541.47±0.590.458
 HDL-C (mmol/L)1.19±0.221.12±0.300.3281.03±0.201.18±0.290.029
 LDL-C (mmol/L)3.31±0.882.92±0.790.053.00±0.863.03±0.820.892
 VLDL-C (mmol/L)0.67±0.220.71±0.250.5830.72±0.240.69±0.240.580
 BMI (kg/m2)25.89±3.5925.46±3.220.59925.44±2.2925.62±3.620.828
 SBP (mmHg)127.75±15.77123.24±15.200.266122.06±15.72125.18±15.350.468
 DBP (mmHg)72.45±10.5271.87±14.240.86969.71±11.9272.72±13.670.415
Patients with CADn=28n=68n=19n=77
 Total-C (mmol/L)5.05±0.955.16±1.520.7125.24±1.115.10±1.440.692
 TG (mmol/L)1.49±0.711.69±0.850.2561.81±0.781.59±0.820.292
 HDL-C (mmol/L)0.93±0.261.01±0.220.1281.02±0.170.98±0.240.527
 LDL-C (mmol/L)3.19±0.813.22±0.990.9093.43±0.963.15±0.930.257
 VLDL-C (mmol/L)0.72±0.320.77±0.390.5950.86±0.370.73±0.370.219
 BMI (kg/m2)25.73±3.2327.01±3.990.16126.59±3.3426.58±3.890.993
 SBP (mmHg)137.32±24.51134.76±34.770.726137.78±41.38135.00±29.370.742
 DBP (mmHg)86.79±14.7381.98±18.720.23386.11±23.2482.81±16.120.575
  1. Data are given as X+SD in the table. Statistical analysis was performed by Student’s t-test. CAD, Coronary artery disease; BMI, body mass index; TG, triglyceride; HDL-C, HDL-cholesterol; LDL-C, LDL-cholesterol; VLDL-C, VLDL-cholesterol; SBP, systolic blood pressure; DBP, diastolic blood pressure; n, number of samples. Bold values of p<0.05 were considered statistically significant.

Effects of CPTIA rs33019613 and CROT rs2214930 genotypes on the metabolic risk threshold values in CAD patient group are shown in Table 5 (TC ≥5.18, TG ≥1.70, HDL-C ≤0.90, LDL-C ≥3.36 and BMI ≥27). The frequencies of having HDL-C level >0.90 and BMI <27 kg/m2 were found higher in patients with CPTIA rs33019613 normal homozygous GG genotype compared to minor A allele carriers in CAD group (For HDL-C: 76.9% vs. 23.1%; p=0.015, OR: 3.111, 95% CI=1.228–7.879; For BMI: 81.6% vs. 18.4%; p=0.03, OR: 3.081, 95% CI=1.090–8.709). However, it was not found any association between CPTIA rs33019613 and CROT rs2214930 genotypes and metabolic risk threshold values in controls.

Table 5:

The effects of CPT1A and CROT Genotypes on metabolic risk threshold values in study groups.

GroupCPT1A rs3019613CROT rs2214930
GGA allelep-ValueTTC allelep-Value
Controln=59n=26n=22n=63
 TC ≥5.18 (mmol/L)78.621.40.26139.360.70.067
 TC <5.18 (mmol/L)66.333.320.479.6
 TG ≥1.70 (mmol/L)74.125.90.57022.277.80.559
 TG <1.70 (mmol/L)67.932.128.371.7
 HDL-C ≤0.9 (mmol/L)63.636.40.5789.190.90.154
 HDL >0.9 (mmol/L)71.828.229.670.4
 LDL-C ≥3.36 (mmol/L)75.025.00.49737.562.50.081
 LDL-C <3.36 (mmol/L)68.032.020.080.0
 BMI ≥27 (kg/m2)64.036.00.35032.068.00.457
 BMI <27 (kg/m2)74.125.924.175.9
CADn=67n=29n=28n=68
 TC ≥5.18 (mmol/L)76.923.10.20823.176.90.278
 TC <5.18 (mmol/L)64.935.133.366.7
 TG ≥1.70 (mmol/L)71.128.90.78523.776.30.312
 TG <1.70 (mmol/L)68.431.633.366.7
 HDL-C ≤0.9 (mmol/L)51.748.30.01541.458.60.101
 HDL-C >0.9 (mmol/L)76.923.124.675.4
 LDL-C ≥3.36 (mmol/L)75.724.30.24624.375.70.416
 LDL-C <3.36 (mmol/L)64.335.732.167.9
 BMI ≥27 (kg/m2)59.041.00.0325.674.40.127
 BMI <27 (kg/m2)81.618.442.157.9
  1. Values are given as % in the table. Statistical analysis was performed by χ2 test. CAD, Coronary artery disease; BMI, body mass index; TG, triglyceride; HDL-C, HDL-cholesterol; LDL-C, LDL-cholesterol. Bold values of p<0.05 were considered statistically significant.

Based on the results from the univariate analysis, we performed multivariate logistic regression analysis (Binary) in CAD group. Elevated BMI (BMI ≥27) and low HDL-C (HDL-C ≤0.90 mmol/L) were used as the dependent variables in multivariate regression analysis. In these analysis (Model A and Model B), sex, CPTIA rs3019613 A allele, type 2 diabetes mellitus, age ≥60 and smoking were used as independent variables. In the Model A multivariate analysis, only the CPTIA rs33019613 A allele remained close to statistical significant after performing statistical adjustments for sex, rs3019613 A allele, type 2 diabetes mellitus and age. This result indicated that the CPTIA rs3019613 A allele is associated with an increase in BMI values (p=0.057) (Table 6). In the other logistic regression model (Model B), low serum HDL-C (≤0.90 mmol/L) used as the dependent variable in the patient group (Table 6). This regression analysis revealed that the CPT1A rs3019613 A allele and sex could predict low serum HDL-C in CAD patient (p=0.009 and p=0.005, respectively).

Table 6:

Linear logistic regression analysis in CAD group (level of significance: p<0.05).

Dependent variablesIndependent variablesp-ValueOdds ratio95% CI for OR
ABMI ≥27 kg/m2CPT1A rs3019613 A allele0.0570.3350.108–1.035
Sex0.0842.5770.881–7.535
Type 2 Diabetes mellitus0.5161.4070.502–3.949
Age ≥600.7521.1760.429–3.226
BHDL-C ≤0.90 mmol/LCPT1A rs3019613 A allele0.0090.2260.074–0.687
Sex0.0050.1620.045–0.583
Type 2 Diabetes mellitus0.1300.3960.119–1.313
Age ≥600.4061.7440.470–6.476
Smoking0.1952.1560.675–6.885
  1. A. Linear logistic regression analysis for the association between CPT1A rs3019613 A allele, sex, presence of type 2 diabetes mellitus, age and risk of high BMI values in CAD group. B. Linear logistic regression analysis for the association between CPT1A rs3019613 A allele, sex, presence of type 2 diabetes mellitus, age, smoking and risk of low HDL-cholesterol levels in CAD group. OR, Odds ratio; CI, confidence interval. Bold values of p<0.05 were considered statistically significant.

Discussion

CAD which is the most important cause of mortality in developed countries develops over years. CAD is the leading cause of myocardial ischemia in consequence of vessel narrowing due to an atherosclerotic process which includes inflammatory cytokines and modifications of low density lipoprotein (LDL) such as oxidation, acetylation, glycosylation [18], [19], [20]. The heart needs to produce high energy for its contractile function, basal metabolic processes and its ionic balance by ATP production (approximately 95%) via mitochondrial oxidative phosphorylation and GTP generated from glycolysis and TCA [1].

Recently, it was reported that changes in cardiac mitochondrial energy metabolism contribute to contractile dysfunction and to a decrease in cardiac efficiency [1], [21]. Carnitine palmitoyltransferase IA (CPTIA) provides fatty acid transport into the inner mitochondrial membrane via binding carnitine. Carnitine is removed when fatty acids enter the inner mitochondrial stage and metabolism of fatty acids starts. CPTIA controls fatty acid influx and oxidative pathways via esterification and malonyl-CoA sensitivity, respectively [16]. Binding of malonyl-CoA to the regulatory site of CPTIA allosterically inhibits acylcarnitine formation while it prevents the transition of fatty acids into mitochondria. Inhibitors of CPTI act as regulators of fatty acid biosynthesis via this mechanism. Inhibition of CPTI might be proposed to have a protective effect against cardiac hypertrophy and heart attack via reducing fatty acid oxidation as well [22].

It was proposed in a study with donor and receptors of cardiac transplantation that total CPT activation and carnitine deficiency might be associated with ventricle function and this association might be useful in order to establish a link between CPT enzymes and heart diseases [17].

Homozygous CPTIB knockout (CPTIb+/+) mice die in the embryonic stage due to cardiac structure and function. In a pressure stimulated aortic contraction study with heterozygous CPTIB knockout (CPT1b+/-) mice, heart defects, mitochondrial anomalies and myocardial lipid accumulation were observed depend on pressure level. These findings indicate that cardiac pathology increases depend on lipotoxicity under pathologic stress in CPTIb deficiency [22].

Limited numerous studies have been found yet relating to CPT1A polymorphism and obesity/lipid association [8], [16], [23]. However, this is the first study investigating the effect of a polymorphism in CPTIA gene on lipid/obesity parameters in CAD patients. The role of CPTI gene variations in heart diseases has been CPTI is a key enzyme in the fatty acid oxidation process, it has been proposed to have an association with healthy obesity with the contribution of SNPs. No association was reported between CPTIA polymorphisms and obesity/lipid profiles in Japanese type 2 diabetes patients by Hirota et al. [23], while CPTIA A275T (rs17610395) SNP was found related to BMI (p=0.05) and waist circumference (p=0.008) in French-Canadian cohorts by Robitaille et al. [15]. Furthermore, Rajakumar et al. [16] investigated the effects of CPTIA P479L variant on metabolic parameters such as serum lipid profile, blood pressure in Arctic populations. They reported that the L479 allele in the P479L variant was associated with elevated fasting HDL-C and ApoA1 levels in Greenland Inuit. In a recent study from the Center of Alaska Native Health Research (CANHR) which was carried out with Yu’pik Eskimo population, polymorphisms at CPTIA gene has been found to be associated with anti-obesity phenotypes such as decreased body fat and adiposity. It also has been proposed to have a cardioprotective effect due to the association of increased fasting levels of HDL-C [8].

The present study is consistent with suggesting studies CPTIA gene variations are associated with obesity and HDL-C levels. We found that CPTIA rs3019613-A allele associated with the increased BMI (BMI≥27) in CAD group (p=0.03), while HDL-C threshold (HDL-C ≤0.90 mmol/L) was found lower (p=0.015). In addition, the logistic regression analysis confirmed CPTIA rs3019613-A allele has a significant relationship with decreased serum HDL-C levels (p=0.009, Table 6) and increased BMI values (p=0.062, Table 6) in CAD group. No association was observed between CPTIA rs3019613 genotypes and metabolic risk thresholds in the control group. Carnitine-O-octanoyl transferase (CROT) enzyme which is a kind of carnitine/choline acetyltransferase takes part in lipid metabolism and fatty acid β-oxidation by catalyzing transesterification of 4,8-dimethyl nonanoyl-CoA to carnitine ester in peroxisome [13]. It is vital for the transfer of medium and long-chain acyl-CoA molecules. There has been no study yet assessing variations in carnitine-O-octanoyl transferase (CROT) gene which encodes CROT in terms of lipid profile in diabetes and atherosclerotic diseases. CROT rs2214930 T>C polymorphism, CC genotype was found to be associated with low HDL-C (p=0.029) in healthy controls. These findings suggested that the CROT rs2214930 T>C polymorphism might have an effect on HDL-C levels. However, this association was not found in CAD patient group. We think that the effect of rs2214930 CC genotype on HDL-C may be masked due to the patient group is under statin therapy.

The limitations of the study include relatively small sample of the study groups. We believe that our findings will be more meaningful and more concrete in a study group on a wider scale, and will guide the future work in this context.

The present study is a preliminary study to establish whether CPT1A and CROT polymorphisms have individual effects in the pathogenesis of CAD in the Turkish population. Based on our findings, we propose that rs3019613 and rs2214930 variations in CPTIA and CROT genes which encode key proteins in fatty acid metabolism might have important effects on serum lipid profile, obesity, and blood pressures. Therefore, these results suggested that the CROT rs2214930 T>C and CPTIA rs3019613 G>A SNPs may contribute to the increased CAD risk dependently other metabolic parameters.


Corresponding author: Professor Hulya Yilmaz Aydogan, Istanbul University, Aziz Sancar Institute of Experimental Medicine, Department of Molecular Medicine, Vakif Gureba c., Capa, 34093 Istanbul, Turkey, Phone: +90212 4142000, Fax: +90212 5324171

Acknowledgments

This study was funded by Scientific Research Project Coordination Union of Istanbul University. Project Number: 36173.

  1. Ethical considerations: The study protocol was approved by the Clinical Research Ethics Committee of the Istanbul University, Istanbul Faculty of Medicine. Written informed consent was obtained from all participants prior to collecting blood samples. All procedures performed in studies involving human participants were in accordance with the ethical standards of the Institutional Committee and the Declaration of Helsinki.

  2. Author’s contribution: The planning and conduct of this work has been made by Professor Hulya Yilmaz Aydogan. Clinic examinations have been made by Dr. Zehra Bugra. The DNA isolations and CROT and CPTIA gene analysis have been made by MSc. Aslihan Demircan, MSc. Deniz Kanca, MSc. Fatih Yanar, MSc. Gülcin Ozkara, and PhD. Ender Coskunpinar. Professor Oguz Ozturk, Professor Hulya Yilmaz-Aydogan and PhD. Ozlem Kurnaz Gomleksiz have contributed to the statistical analysis and interpretation of data.

  3. Conflict of interest: Authors declare that no competing interests exist.

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Received: 2018-11-21
Accepted: 2019-05-23
Published Online: 2019-07-26
Published in Print: 2019-12-18

©2019 Walter de Gruyter GmbH, Berlin/Boston

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