RESEARCH ARTICLE

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APOE gene ɛ4 allele (388C-526C) effects on serum lipids and risk of coronary artery disease in southern Chinese Hakka population

Qinghua Liu

Center for Pathological Diagnostics, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China

Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China

Guangdong Provincial Engineering and Technology Research Center for Molecular Diagnostics of Cardiovascular Diseases, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China

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Heming Wu,

Heming Wu

orcid.org/0000-0002-1876-9585

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Zhikang Yu,

Zhikang Yu

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Qingyan Huang,

Qingyan Huang

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Zhixiong Zhong,

Corresponding Author

Zhixiong Zhong

[email protected]

orcid.org/0000-0002-9997-5339

Correspondence

Zhixiong Zhong, Center for Precision Medicine, Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, No 63 Huangtang Road, Meijiang District, Meizhou 514031, China.

Email: [email protected]

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Qinghua Liu,

Qinghua Liu

Center for Pathological Diagnostics, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences, Meizhou, China

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Heming Wu,

Heming Wu

orcid.org/0000-0002-1876-9585

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Zhikang Yu,

Zhikang Yu

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Qingyan Huang,

Qingyan Huang

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Zhixiong Zhong,

Corresponding Author

Zhixiong Zhong

[email protected]

orcid.org/0000-0002-9997-5339

Correspondence

Email: [email protected]

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First published: 27 July 2021

https://doi.org/10.1002/jcla.23925

Citations: 5

Qinghua Liu and Heming Wu are Contributed equally to this work.

Funding information

This study was supported by Key Scientific and Technological Project of Meizhou People's Hospital, (Grant No.: MPHKSTP-20180101 to Dr. Zhixiong Zhong); the Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translation Research of Hakka Population (Grant No.: 2018B030322003); the Science and Technology Program of Meizhou (Grant No.: 2019B0202001); and the Scientific Research Cultivation Project of Meizhou People's Hospital (Grant No.: PY-C2020033 to Dr. Zhikang Yu)

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Abstract

Objective

To analyze the relationship of Apolipoprotein E (APOE) and solute carrier organic anion transporter family member 1B1 (SLCO1B1) gene polymorphisms with coronary artery disease (CAD).

Methods

1,129 CAD patients and 1,014 non-CAD controls were included in the study, and relevant information and medical records were collected. The single-nucleotide polymorphisms (SNPs) were analyzed, including rs429358, rs7412 in APOE gene and rs2306283, rs4149056 in SLCO1B1 gene.

Results

The CAD patients’ average age was 66.3 ± 10.7 years, while 65.5 ± 12.0 years in controls. The frequencies of APOE allele ɛ3, ɛ4, and ɛ2 were 83.01%, 10.08%, and 6.91% respectively. There were statistically significant differences in genotype ɛ3/ɛ4 (χ² = 8.077, p = 0.005) in CAD patients compared with the controls. The SLCO1B1 genotype *1b/*1b and haplotype *1b showed the highest frequency in the study sample. Moreover, ε4 carriers had significantly lower HDL-C, Apo-A1 levels than ε3 carriers among CAD patients, while ε2 carriers showed lower LDL-C, Apo-B level, and higher Apo-A1/Apo-B level than ε3 and ε4 carriers. In controls, ε2 carriers showed lower LDL-C and Apo-B level, higher Apo-A1, and Apo-A1/Apo-B level than ε4 carriers. Logistic regression analysis showed that high LDL-C and Apo-B level, low HDL-C level, smoking, and the ε4 allele were risks for the presence of CAD.

Conclusions

APOE ε4 allele may be associated with susceptibility to CAD in southern Chinese Hakka population. It indicated that the APOE SNPs rs429358 and rs7412 are associated with CAD, but not SNPs rs2306283 and rs4149056 of SLCO1B1 gene.

Abbreviations

Apo-A1: apolipoprotein A1
Apo-B: apolipoprotein B
APOE: apolipoprotein E
HDL-C: high-density lipoprotein-cholesterol
LDL-C: low-density lipoprotein-cholesterol
SLCO1B1: solute carrier organic anion transporter family member 1B1
TC: total cholesterol
TG: triglyceride

1 INTRODUCTION

Coronary artery disease (CAD) is a kind of coronary artery atherosclerosis, narrowing or occlusion of vascular lumen, resulting in myocardial ischemia and hypoxia or necrosis caused by heart disease, and is one of the main causes of death in developed and developing countries.^{1, 2} CAD is an atherosclerotic inflammatory disease characterized by stable angina, unstable angina, myocardial infarction, or sudden cardiac death.³ Smoking, drinking, obesity, hypertension, bad living habits, and genetic factors are considered to be closely related to the incidence of CAD. So far, more than 60 genetic variants have been confirmed to be associated with increased susceptibility to CAD using genome-wide association studies (GWAS).⁴ Previous studies have shown that genes related to CAD mainly include genes related to vascular structure and function, lipid metabolism, and inflammatory cytokines.^5-7

Apolipoprotein E (ApoE) is one of the apolipoproteins of chylomicron, high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), and very low-density lipoprotein-cholesterol (VLDL-C), which plays an important role in regulating lipoprotein metabolism. ApoE is a multifunctional protein that plays an important role in lipid metabolism by binding to LDL receptors and mediating the removal of chylomicron and VLDL from serum.⁸ APOE (OMIM 107741) is the gene that codes for ApoE, which its cytogenetic location is 19q13.32. There are 2 common single-nucleotide polymorphisms (SNPs) in APOE gene: rs429358 (388T > C) and rs7412 (526C > T). And 3 alleles (ɛ2(388T-526T), ɛ3(388T-526C), and ɛ4(388C-526C)) and 6 genotypes (ɛ2/ɛ2, ɛ2/ɛ3, ɛ2/ɛ4, ɛ3/ɛ3, ɛ3/ɛ4, and ɛ4/ɛ4) can be formed by the 2 SNPs.⁹ ApoE2, -E3, and -E4 are 3 major isoforms of human ApoE, which coded by 3 alleles (epsilon (ɛ) 2, 3, and 4).

Solute carrier organic anion transporter family member 1B1 (SLCO1B1) is an intake transporter for the transport of substances from the blood to the liver. SLCO1B1 is encoded by SLCO1B1 gene (located on chromosome 12p12.1). The rs2306283 (388A > G) and rs4149056 (521T > C) are 2 common SNPs in SLCO1B1 gene.^{10, 11} 4 haplotypes can be formed by these two SNPs: *1a (388A-521T), *1b (388G-521T), *5 (388A-521C), and *15 (388G-521C).^12-14 To date, most studies on SLCO1B1 have focused on the effect of SLCO1B1 polymorphisms on the pharmacokinetics, efficacy and side effects of glucose-lowering drugs, statins, and antitumor drug.^{15, 16}

APOE and SLCO1B1 gene polymorphisms are associated with the efficacy and side effects of statin lipid-lowering drugs, and also affect the occurrence and development of some diseases. However, most patients with CAD will have lipid metabolism dysfunction. Whether these SNP sites are associated with the susceptibility to CAD has not been systematically reported. Although some studies have analyzed the relationship between APOE gene polymorphisms and the risk of cardiovascular and cerebrovascular diseases, the results are inconsistent in different regions and populations. In this study, the relationship between SLCO1B1 and APOE polymorphisms and CAD was analyzed in southern Chinese Hakka population.

2 MATERIALS AND METHODS

2.1 Population samples

A total of 2,143 subjects were recruited from Meizhou People's Hospital (Huangtang Hospital), China, between September 2016 and May 2020, including 1129 CAD patients and 1014 individuals with non-CAD as controls. The diagnosis of CAD was based on the American College of Cardiology/American Heart Association (ACC/AHA) classification. The patients have chest pain, ischemic changes in electrocardiograph (ECG), and increased myocardial enzymes by clinical evaluation and more than 50% reduction of coronary artery diameter in at least one of the major arteries proved by coronary angiography. Patients with severe liver, kidney, brain diseases, malignant tumors, and hematological diseases were excluded. Information recorded included demographic data (age, sex), history of major chronic diseases (hypertension, diabetes), smoking history, and alcohol consumption history. This study was performed in accordance with the ethical standards laid down in the updated version of the 1964 Declaration of Helsinki and approved by the Human Ethics Committees of Meizhou People's Hospital (Clearance No.: 2016-A-29). Informed consent was obtained from the patients or their families, and participants’ privacy was carefully protected.

2.2 Serum lipid measurements

About 3ml of blood was taken from each subject, serum was rapidly separated and tested, and samples that could not be immediately tested were stored at −80℃. Serum lipid levels of samples were evaluated in the Olympus AU5400 system (Olympus Corporation, Tokyo, Japan), test indicators including total cholesterol (TC), triglyceride (TG), LDL-C, HDL-C, apolipoprotein B (Apo-B), and apolipoprotein A1 (Apo-A1). Serum lipid levels were measured by the corresponding detection methods following the manufacturers’ instructions.

2.3 DNA extraction and genotyping assay

Genomic DNA was extracted from whole blood using a TIANamp Blood DNA Kit (Tiangen, Beijing, China) according to the manufacturer's instructions. SLCO1B1 and APOE gene polymorphisms were detected by TaqMan probe fluorescent PCR method through different channels in the reaction system with different primers and probes combinations (Youzhiyou Medical Technology Co., Ltd, Hubei, China). PCR was used to amplify the target fragments using the Roche LightCycler 480 Ⅱ system: initial denaturation at 95℃ for 5 min, followed by 40 cycles of denaturation at 95℃ for 15s, annealing, and extension at 60℃ for 1 min. FAM (SLCO1B1*1b 388A, SLCO1B1*5 521T, ApoE2 526C, ApoE4 388T), VIC (SLCO1B1*1b 388G, SLCO1B1*5 521C, ApoE2 526T, and ApoE4 388C) and ROX (internal standard) fluorescence signals were collected.

2.4 Statistical analysis

SPSS statistical software version 21.0 (IBM Inc., State of New York, USA) was used for data analysis. Continuous variable data are represented by mean ± SD and analyzed using Student's t test or the Mann-Whitney U test. The Chi-square test was used for analyzing categorical variables, which were presented as percentages. Logistic regression analysis was used to evaluate the interactions between SLCO1B1 and APOE polymorphisms and various factors (age, gender, smoking history, drinking history, prevalence of hypertension, and diabetes, etc.) in CAD. p < 0.05 was considered statistically significant.

3 RESULTS

3.1 Population characteristics

In this study, there were 2,143 subjects (65.9 ± 11.4 years), with the youngest is 20 years, the oldest is 97 years, consisted of 1,129 CAD patients (694 (61.47%) males and 435 (38.53%) females), and 1014 non-CAD controls (595 (58.68%) males and 419 (41.32%) females). The CAD patients’ average age was 66.3 ± 10.7 years, while 65.5 ± 12.0 years in controls. There were statistically significant differences in percentage of smokers (CAD patients vs. non-CAD controls: 31.62% vs. 19.72%, p < 0.001), TG level (1.949 ± 1.573 mmol/L vs. 1.642 ± 1.184 mmol/L, p < 0.001), HDL-C level (1.237 ± 0.318 mmol/L vs. 1.307 ± 0.357 mmol/L, p < 0.001), and Apo-B level (0.898 ± 0.284 g/L vs. 0.861 ± 0.270 g/L, p = 0.002) between the patients and controls, while no statistically significant differences in age, TC, LDL-C, Apo-A1, gender composition ratio, and percentage of alcoholics, hypertension, and diabetes (Table 1).

TABLE 1. Comparison of clinical characteristics of coronary artery disease (CAD) patients and non-CAD controls

	CAD Patients (n = 1129)	Non-CAD controls (n = 1014)	p Values
Age, years	66.3 ± 10.7	65.5 ± 12.0	0.112
Gender
Male	694 (61.47%)	595 (58.68%)	0.188 (χ² = 1.737)
Female	435 (38.53%)	419 (41.32%)	0.188 (χ² = 1.737)
History of smoking, n(%)	357 (31.62%)	200 (19.72%)	<0.001 (χ² = 39.307)
History of alcoholism, n(%)	58 (5.14%)	55 (5.42%)	0.772 (χ² = 0.088)
Hypertension, n(%)	645 (57.13%)	561 (55.33%)	0.408 (χ² = 0.707)
Diabetes, n(%)	333 (29.50%)	271 (26.73%)	0.163 (χ² = 2.024)
TG, mmol/L	1.949 ± 1.573	1.642 ± 1.184	<0.001
TC, mmol/L	4.948 ± 1.242	4.959 ± 1.218	0.831
HDL-C, mmol/L	1.237 ± 0.318	1.307 ± 0.357	<0.001
LDL-C, mmol/L	2.737 ± 0.881	2.791 ± 0.869	0.156
Apo-A1, g/L	1.146 ± 0.274	1.172 ± 0.334	0.052
Apo-B, g/L	0.898 ± 0.284	0.861 ± 0.270	0.002
Apo-A1/ Apo-B	1.385 ± 0.493	1.479 ± 0.610	<0.001

Note

Values for age expressed as n (%) or mean ± SD.
Abbreviations: Apo-A1, apolipoprotein A1; Apo-B, apolipoprotein B; HDL-C, high-density lipoprotein-cholesterol; LDL-C, low-density lipoprotein-cholesterol; TG, triglycerides; TC, total cholesterol;.

3.2 Genotype and haplotype frequencies of APOE gene

The frequencies of genotype ɛ3/ɛ3, ɛ3/ɛ4, ɛ2/ɛ3, ɛ2/ɛ4, ɛ4/ɛ4, and ɛ2/ɛ2 were 69.16%, 16.61%, 11.11%, 1.21%, 1.17%, and 0.75%, respectively, in all subjects. The frequencies of allele ɛ3, ɛ4, and ɛ2 were 83.01%, 10.08%, and 6.91% respectively. The genotype distribution in controls was consistent with Hardy-Weinberg equilibrium (χ² = 0.515, p = 0.992). The results showed that the most common APOE genotype was ɛ3/ɛ3, and the frequencies of alleles in order from high to low were ɛ3, ɛ4, and ɛ2 (Table 2).

TABLE 2. Genotypes and alleles distribution of APOE gene in CAD patients and control participants

Genotypes	ɛ2/ɛ2	ɛ2/ɛ3	ɛ2/ɛ4	ɛ3/ɛ3	ɛ3/ɛ4	ɛ4/ɛ4
All subjects(n = 2143)	16(0.75%)	238(11.11%)	26(1.21%)	1482(69.16%)	356(16.61%)	25(1.17%)
Patients(n = 1129)	10(0.89%)	113(10.01%)	15(1.33%)	764(67.67%)	212(18.78%)	15(1.33%)
Controls(n = 1014)	6(0.59%)	125(12.33%)	11(1.08%)	718(70.81%)	144(14.20%)	10(0.99%)
p Values (Patients vs. controls)	0.463(χ² = 0.623)	0.098(χ² = = 2.909)	0.695(χ² = 0.265)	0.122(χ² = 2.466)	0.005(χ² = 8.077)	0.548(χ² = 0.543)
Alleles	ɛ2	ɛ3	ɛ4
All subjects(n = 4286)	296(6.91%)	3558(83.01%)	432(10.08%)
Patients(n = 2258)	148(6.55%)	1853(82.06%)	257(11.38%)
Controls(n = 2028)	148(7.30%)	1705(84.07%)	175(8.63%)
p Values (Patients vs controls)	0.338(χ² = 0.918)	0.087(χ² = 3.059)	0.003(χ² = 8.931)

Note

Numbers in parentheses are percentages.

There were statistically significant differences in genotype ɛ3/ɛ4 (χ² = 8.077, p = 0.005) in CAD patients compared with the controls. The frequency of allele ɛ4 (χ² = 8.931, p = 0.003) showed statistically significant difference in the patients compared with controls. The differences in other genotypes (ɛ2/ɛ2, ɛ2/ɛ3, ɛ2/ɛ4, ɛ3/ɛ3, and ɛ4/ɛ4) and alleles (ɛ2 and ɛ3) of APOE gene between the CAD patients and the controls were not statistically significant (all p > 0.05) (Table 2).

3.3 Genotype and haplotype frequencies of SLCO1B1 gene

Of all the participants, the frequencies of genotype *1b/*1b, *1a/*1b, *1b/*15, *1a/*15, *1a/*1a, *15/*15, and *1a/*5 were 39.06%, 31.64%, 15.59%, 6.16%, 5.83%, 1.63%, and 0.09%, respectively. The genotypes frequencies in the CAD patients were 38.35%, 31.36%, 16.56%, 5.76%, 6.20%, 1.77%, and 0%, and 39.84%, 31.95%, 14.50%, 6.61%, 5.42%, 1.48%, and 0.20% in the controls. The genotype distribution in controls was consistent with Hardy-Weinberg equilibrium (χ² = 1.397, p = 0.968). There were no statistically significant differences in the frequencies of these genotypes between CAD patients and controls. The *1b haplotype (62.67%) presented the highest frequency, followed by haplotype *1a (24.78%), *15 (12.51%), and *5 (0.05%). The frequencies of SLCO1B1 haplotypes between CAD patients and controls showed no statistically significant differences (Table 3).

TABLE 3. Genotypes and alleles distribution of SLCO1B1 gene in CAD patients and control participants.

Genotypes	15/15	1a/15	1a/1a	1a/1b	1a/5	1b/15	1b/1b
All subjects(n = 2143)	35 (1.63%)	132 (6.16%)	125 (5.83%)	678 (31.64%)	2 (0.09%)	334 (15.59%)	837 (39.06%)
Patients(n = 1129)	20 (1.77%)	65 (5.76%)	70 (6.20%)	354 (31.36%)	0 (0)	187 (16.56%)	433 (38.35%)
Controls(n = 1014)	15 (1.48%)	67 (6.61%)	55 (5.42%)	324 (31.95%)	2 (0.20%)	147 (14.50%)	404 (39.84%)
p Values (Patients vs controls)	0.614 (χ² = 0.284)	0.420 (χ² = 0.668)	0.461 (χ² = 0.586)	0.780 (χ² = 0.088)	0.224 (χ² = 2.229)	0.190 (χ² = 1.734)	0.506 (χ² = 0.498)
Alleles	*15	*5	*1a	*1b
All subjects(n = 4286)	536 (12.51%)	2 (0.05%)	1062 (24.78%)	2686 (62.67%)
Patients(n = 2258)	292 (12.93%)	0 (0)	559 (24.76%)	1407 (62.31%)
Controls(n = 2028)	244 (12.03%)	2 (0.10%)	503 (24.80%)	1279 (63.07%)
p Values (Patients vs controls)	0.380 (χ² = 0.791)	0.224 (χ² = 2.228)	0.972 (χ² = 0.001)	0.613 (χ² = 0.261)

Note

Numbers in parentheses are percentages.

3.4 Relationships between serum lipid levels and APOE alleles, SLCO1B1 genotypes and logistic regression analysis of the risks for CAD

Relationships between APOE alleles (ε2, ε3, and ε4) and serum lipid levels were analyzed. Because the ε2 and ε4 alleles play opposite roles in lipid metabolism, subjects with both ε2 and ε4 alleles (ε2/ε4 genotype) were excluded (n = 26, 15 patients, and 11 controls). In CAD patients, ε4 carriers had significantly lower HDL-C (1.193 ± 0.321 mmol/L vs. 1.255 ± 0.322 mmol/L, p = 0.029), Apo-A1 (1.106 ± 0.266 g/L vs. 1.156 ± 0.278 g/L, p = 0.047) levels than ε3 carriers, while ε2 carriers showed lower LDL-C (p = 0.004) and Apo-B (p = 0.008) and higher Apo-A1/Apo-B (p < 0.001) than ε3 and ε4 carriers. In controls, ε2 carriers showed lower LDL-C and Apo-B, higher Apo-A1 and Apo-A1/Apo-B (all p < 0.05) than ε4 carriers (Table 4).

TABLE 4. Relationships between serum lipid level and APOE allele in CAD patients and control participants.

Serum lipid level	CAD patients (n = 1114)				Controls (n = 1003)
Serum lipid level	ɛ2 (n = 123)	ɛ3 (n = 764)	ɛ4 (n = 227)	p Values	ɛ2 (n = 131)	ɛ3 (n = 718)	ɛ4 (n = 154)	p Values
TG, mmol/L	2.191 ± 1.500	1.907 ± 1.587	1.873 ± 1.441	0.137	1.857 ± 1.242◊	1.640 ± 1.229◊	1.424 ± 0.785*	0.008
TC, mmol/L	4.815 ± 1.268	4.965 ± 1.170	4.953 ± 1.384	0.454	5.001 ± 1.423	4.938 ± 1.178	4.986 ± 1.042	0.802
HDL-C, mmol/L	1.218 ± 0.271	1.255 ± 0.322◊	1.193 ± 0.321*	0.029	1.335 ± 0.351	1.304 ± 0.365	1.300 ± 0.326	0.637
LDL-C, mmol/L	2.498 ± 0.872^*◊	2.764 ± 0.828	2.792 ± 0.980	0.004	2.672 ± 0.965◊	2.794 ± 0.861	2.884 ± 0.767	0.117
Apo-A1, g/L	1.157 ± 0.270	1.156 ± 0.278◊	1.106 ± 0.266*	0.047	1.227 ± 0.337◊	1.171 ± 0.340	1.134 ± 0.299	0.065
Apo-B, g/L	0.829 ± 0.285^*◊	0.902 ± 0.269	0.925 ± 0.314	0.008	0.820 ± 0.295◊	0.860 ± 0.265	0.900 ± 0.262	0.044
Apo-A1/ Apo-B	1.520 ± 0.526^*◊	1.380 ± 0.481	1.308 ± 0.469	<0.001	1.654 ± 0.697^*◊	1.477 ± 0.613	1.342 ± 0.482	<0.001

Note

p Value shows the differences compared between groups (ε2, ε3, and ε4).
*p < 0.05 versus corresponding ε3 group.
◊p < 0.05 versus corresponding ε4 group.

Logistic regression analysis was performed to determine independent predictors for CAD. The results indicated significantly higher risks of CAD in the presence of high LDL-C level (adjusted OR 2.885, 95% CI 2.016–4.129, p < 0.001), and Apo-B level (adjusted OR 1.680, 95% CI 1.296–2.178, p < 0.001), low HDL-C level (adjusted OR 0.459, 95% CI 0.498–0.839, p = 0.005), smoking (adjusted OR 2.043, 95% CI 1.619–2.577, p < 0.001), and the ε4 allele (adjusted OR 1.354, 95% CI 1.068–1.717, p = 0.012) (Table 5).

TABLE 5. Logistic regression analysis of risks of CAD in southern Chinese Hakka population.

Variables	Alleles/Genotypes	Unadjusted values			Adjusted values
Variables	Alleles/Genotypes	p Value	OR	95% CI	p Value	Adjusted OR	95% CI
Gender (male)		0.180	0.888	0.746–1.057	0.121	1.181	0.957–1.456
Smoking		<0.001	1.863	1.524–2.276	<0.001	2.043	1.619–2.577
TG		<0.001	1.191	1.108–1.281	0.323	0.953	0.866–1.049
TC		0.880	0.995	0.927–1.067	0.058	0.767	0.582–1.009
HDL-C		<0.001	0.542	0.419–0.700	0.005	0.459	0.498–0.839
LDL-C		0.166	0.933	0.845–1.029	<0.001	2.885	2.016–4.129
Apo-A1		0.046	0.752	0.568–0.996	0.293	0.788	0.505–1.229
Apo-B		0.002	1.658	1.211–2.269	<0.001	1.680	1.296–2.178
APOE allele
	ε2 carrier^c	0.154	0.826	0.636–1.074	0.141	0.811	0.614–1.072
	ε4 carrier^d	0.003	1.411	1.126–1.767	0.012	1.354	1.068–1.717
SLCO1B1 388 genotype
	A/G + G/G^e	0.436	0.865	0.601–1.245	0.357	0.831	0.560–1.232
	A/A + A/G^f	0.711	0.968	0.815–1.150	0.576	0.947	0.784–1.145
SLCO1B1 521 genotype
	T/C + C/C^e	0.514	1.069	0.874–1.307	0.690	1.046	0.840–1.301
	T/T + T/C^f	0.590	0.830	0.423–1.631	0.737	0.883	0.429–1.820

Abbreviations: CI, confidence interval; LDL-C, low-density lipoprotein-cholesterol; OR, odds ratio.
^a ɛ2/ɛ2 plus ɛ2/ɛ3, reference genotype: ɛ3/ɛ3 plus ɛ3/ɛ4 plus ɛ4/ɛ4.
^b ɛ3/ɛ4 plus ɛ4/ɛ4, reference genotype: ɛ2/ɛ2 plus ɛ2/ɛ3 plus ɛ3/ɛ3.
^c Reference genotype: SLCO1B1 388 A/A.
^d Reference genotype: SLCO1B1 388 G/G.
^e Reference genotype: SLCO1B1 521 T/T.
^f Reference genotype: SLCO1B1 521 C/C.

4 DISCUSSION

CAD is a common chronic disease in the world. In recent years, the incidence of CAD has gradually increased, and it has become one of the main causes of death.^{17, 18} The incidence of CAD is increasing among younger individuals.¹⁹ The relationship between gene polymorphisms and genetic susceptibility to CAD has been the focus of clinical and epidemiological studies in recent years. Many studies have shown that the etiologies of CAD are complex, including genetic and environmental factors.^{4, 20, 21} The relationship between genetic polymorphisms of APOE and SLCO1B1 and CAD in Hakka population was analyzed in this study.

Atherosclerosis is an important pathophysiological basis of CAD. The main cause of CAD is the formation of atherosclerotic plaque, and the increase of serum lipid level is the main factor of the formation of atherosclerotic plaque.^{22, 23} ApoE is a major lipid-binding protein that serves as a carrier for chylomicron, HDL-C, LDL-C, and VLDL-C.²⁴ However, the results on the relationship between APOE gene polymorphisms and serum lipid level are not consistent. Rajesh Chaudhary et al evaluated the effect of APOE on lipids has shown that carriers of the ε2 allele have lower TC level and higher TG level, while carriers of the ε4 allele have higher TC and LDL levels.²⁵ Another study showed that the APOE ε4 allele is associated with higher serum lipid levels, whereas the ε2 allele is associated with the lower levels.²⁶ A Pablos-Méndez et al reported that the presence of ε2 has been associated with lower LDL-C level but with no influence on the HDL-C level.²⁷

In the present study, ε4 carriers had significantly lower HDL-C and Apo-A1 levels than ε3 carriers among CAD patients, while ε2 carriers showed lower LDL-C, Apo-B levels, and higher Apo-A1/Apo-B level than ε3 and ε4 carriers. In controls, ε2 carriers showed lower LDL-C and Apo-B levels, higher Apo-A1 and Apo-A1/Apo-B levels than ε4 carriers. ApoE is most important for lipid and lipoprotein metabolism. ApoE is the ligand for the LDL receptor family of proteins and itself assimilates and transfers lipids. The aspartic acid at 154 forms a salt bridge with arginine at position 158 in ApoE3 and ApoE4. In the absence of arginine at position 158, aspartate at position 154 of ApoE2 forms a salt bridge with arginine at position 150. It disrupted the binding of ApoE to the LDL receptor significantly.²⁸ In this study, there is less effect of APOE gene polymorphisms on TC, LDL-C levels in CAD, and control. The effects of APOE alleles on differential lipid profile modulation depend on both genetic and environmental factors. Variations in other lipid metabolism-related genes based on population genetic differences may influence differences in lipid spectrum regulation.^29-31 In addition, one factor that may modulate the relationship between APOE gene variations and lipid levels is body mass index (BMI).³² BMI information was not collected and analyzed, which was one of the shortcomings of this study.

APOE gene polymorphisms have been shown to be associated with atherosclerosis.^{33, 34} However, some previous studies on the association between APOE gene polymorphisms and CAD have yielded inconsistent results. Bennet et al found that there was an approximate linear relationship between APOE genotype, LDL level, and CAD risk. Compared with individuals with ε3/ε3 genotype, the risk of CAD in ε2 carriers was reduced by 20%, while the risk of ε4 carriers was slightly higher.³⁵ Some studies found that the risk of CAD in carriers of ε3/ε4 and ε4/ε4 genotypes was significantly higher than that in carriers of ε3/ε3 genotype, but there was no evidence to find a difference between the variant genotypes of ε2/ε2, ε2/ε3, ε2/ε4, and the risk of CAD.^{36, 37} In this study, there was statistically significant difference in genotype ɛ3/ɛ4 among CAD patients compared with controls. Logistic regression analysis indicated that participants with ε4 allele had a significantly higher risk of CAD. However, another study has been shown that APOE gene polymorphism has no significant association with the occurrence and development of CAD in the study on the relationship between APOE gene polymorphism and blood lipid and CAD in African Caribbean people.³⁸ These inconsistencies may be related to ethnic and regional differences.

Furthermore, this study found ɛ3 to be the most common allele of the APOE gene, accounting for 83.01%, which was consistent with most previous studies.^{28, 39} This indicates that the APOE allele frequencies in the Meizhou area are similar to those of the other studies.^40-43

The frequencies of SLCO1B1 genotypes *1b/*1b, *1a/*1b, *1b/*15, *1a/*15, *1a/*1a, *15/*15, and *1a/*5 were 39.06%, 31.64%, 15.59%, 6.16%, 5.83%, 1.63%, and 0.09%, respectively. The *1b haplotype (62.67%) presented the highest frequency, followed by haplotype *1a (24.78%), *15 (12.51%), and *5 (0.05%). Our results are consistent with previous studies.^{39, 44-47} The most common haplotype in the German (49.5%) and in the Turkish population (46.3%) was SLCO1B1 *1a.⁴⁸ Greek,⁴⁹ Roma and Hungarian,⁵⁰ Indian (North),⁵¹ and Brazilian⁵² populations exhibit relatively lower rates of *1b (<50%), whereas Thai^{53, 54} and Chinese⁵⁵ populations show higher rates, generally above 60%–70%. In contrast, the allele frequency of haplotypes *15 and *5 displayed little difference. Ghassibe-Sabbagh M et al reported that rs4149056 in SLCO1B1 was positively associated with hyperhomocysteinemia and may increase CAD risk.⁵⁶ Rong Lin et al identified significant association of rs4149013 in SLCO1B1 with male CAD.⁵⁷ FF Hao et al reported that SLCO1B1 c.388A > G and c.521T > C may have no correlation between gene polymorphisms and the incidence of CAD in Yunnan Bai population.⁵⁸ In this study, SLCO1B1 genotypes and haplotypes have no significant relationship with the risk of CAD.

There are several strengths of this study. This is the first systematic study of the association between CAD and APOE and SLCO1B1 gene polymorphisms in Hakka population. The lifestyle, lipid levels, APOE, and SLCO1B1 gene polymorphisms were included in the analysis and have excluded the influence of related confounding factors on the results. There are some limitations to this study. First, CAD is a multifactorial diseases caused by genetic and environmental factors. As a retrospective case-control analysis, some records in this study could not be traced and verified, limiting the assessment of potential gene-environment interactions. For example, the study could not trace whether patients were taking statins, lipid-lowering drugs, or traditional Chinese medicine prior to admission. Second, although the sample size included in this study is enough to draw reliable conclusion, the sample size is not particularly large, and the possibility of some deviation in the results cannot be ruled out.

5 CONCLUSIONS

The present study suggests that APOE ε4 allele has effects on serum lipids and may be associated with susceptibility to CAD in southern Chinese Hakka population. SLCO1B1 c.388A > G and c.521T > C may have no relationship between gene polymorphisms and the incidence of CAD. It indicated that the APOE SNPs rs429358 and rs7412 are associated with CAD, but not SNPs rs2306283 and rs4149056 of SLCO1B1 gene. Therefore, APOE genotyping and serum lipids testing may be useful to identify individuals at risk for CAD.

ACKNOWLEDGEMENTS

The author would like to thank other colleagues who were not listed in the authorship of Center for Precision Medicine, Meizhou People's Hospital (Huangtang Hospital), Meizhou Academy of Medical Sciences for their helpful comments on the manuscript.

CONFLICT OF INTEREST

The authors declare that they have no competing interests.

AUTHORS CONTRIBUTIONS

Zhixiong Zhong and Heming Wu designed the study. Qinghua Liu, Heming Wu, and Qingyan Huang collected clinical data. Heming Wu, Zhikang Yu, and Qingyan Huang analyzed the data. Heming Wu and Qinghua Liu prepared the manuscript. All authors were responsible for critical revisions, and all authors read and approved the final version of this work.

Open Research

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Volume35, Issue9

September 2021

e23925

APOE gene ɛ4 allele (388C-526C) effects on serum lipids and risk of coronary artery disease in southern Chinese Hakka population

Abstract

Objective

Methods

Results

Conclusions

Abbreviations

1 INTRODUCTION

2 MATERIALS AND METHODS

2.1 Population samples

2.2 Serum lipid measurements

2.3 DNA extraction and genotyping assay

2.4 Statistical analysis

3 RESULTS

3.1 Population characteristics

Note

3.2 Genotype and haplotype frequencies of APOE gene

Note

3.3 Genotype and haplotype frequencies of SLCO1B1 gene

Note

3.4 Relationships between serum lipid levels and APOE alleles, SLCO1B1 genotypes and logistic regression analysis of the risks for CAD

Note

4 DISCUSSION

5 CONCLUSIONS

ACKNOWLEDGEMENTS

CONFLICT OF INTEREST

AUTHORS CONTRIBUTIONS

Open Research

DATA AVAILABILITY STATEMENT

REFERENCES

Citing Literature

References

Information

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APOE gene ɛ4 allele (388C-526C) effects on serum lipids and risk of coronary artery disease in southern Chinese Hakka population

Abstract

Objective

Methods

Results

Conclusions

Abbreviations

1 INTRODUCTION

2 MATERIALS AND METHODS

2.1 Population samples

2.2 Serum lipid measurements

2.3 DNA extraction and genotyping assay

2.4 Statistical analysis

3 RESULTS

3.1 Population characteristics

Note

3.2 Genotype and haplotype frequencies of APOE gene

Note

3.3 Genotype and haplotype frequencies of SLCO1B1 gene

Note

3.4 Relationships between serum lipid levels and APOE alleles, SLCO1B1 genotypes and logistic regression analysis of the risks for CAD

Note

4 DISCUSSION

5 CONCLUSIONS

ACKNOWLEDGEMENTS

CONFLICT OF INTEREST

AUTHORS CONTRIBUTIONS

Open Research

DATA AVAILABILITY STATEMENT

REFERENCES

Citing Literature

References

Related

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