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Association of apolipoprotein E polymorphism with plasma lipid disorders, independent of obesity-related traits in Vietnamese children

Abstract

Background

The dyslipidemia associated with obesity plays a major role in the development of atherosclerosis and cardiovascular disease. Dyslipidemia in childhood can progress in adult stage. APOE is one of the most important genes that regulate plasma lipid transport and clearance. The study aimed to assess whether the common APOE polymorphism is associated with lipid profiles and dyslipidemia, and it could be modulated by obesity-related traits (body mass index, waist circumference, hip circumference, and waist-to-hip ratio) in Vietnamese children.

Methods

A case-control study was designed including 249 cases with dyslipidemia and 600 controls without dyslipidemia. Dyslipidemia is defined as elevated total or low-density lipoprotein (LDL) cholesterol levels, or low levels of high-density lipoprotein (HDL) cholesterol. Genotype for APOE polymorphism (rs7412 and rs429358) was determined by the polymerase chain reaction and restriction fragment length polymorphism method. The association of APOE genotypes with plasma lipid disorders was tested by binary logistic regression analysis, taking into account the confounding factors of age, sex, residence, province and obesity-related traits.

Results

In comparison with ε3/ε3 carriers, the ε4 carriers had the highest concentration of serum TC and LDL-C in cases and controls (P ≤ 0.001), while ε2 carriers had the lowest. Carriers without TT haplotype had higher serum TC than those with TT haplotype. The ε4 carriers had higher hypoalphalipoproteinemia risk than ε3/ε3 carriers (OR = 2.78, P = 0.02) before and after adjustment for age, gender, residence and obesity-related traits.

Conclusions

The study suggested that the APOE genotype and haplotype significantly associated with plasma TC and LDL-C level in Vietnamese children. The association of APOE genotype with hypoalphalipoproteinemia was independent of obesity-related traits.

Background

Dyslipidemia, abnormal of lipid levels in the blood, is a leading risk factor for coronary artery disease (CAD), hypertension, and stroke-the main cause of mortality globally [1, 2]. Dyslipidemia includes hypercholesterolemia - high total cholesterol (TC) level, hyperbetalipoproteinemia - high low density lipoprotein-cholesterol (LDL-C) level, hypoalphalipoproteinemia-reduced high density lipoprotein-cholesterol (HDL-C) level and hypertriglyceridemia-elevated triglyceride (TG) level. It is especially alarming that the proportion of children with dyslipidemia is increasing dramatically, proportional to the percentage of overweight-obesity children in both developed and developing countries. Dyslipidemia was observed in 85.3 % of the overweight children and adolescents [3]. Percentages of 4–9 years old Vietnamese overweight-obesity children had hypertriglycemia, hypercholesterolemia, hyperbetalipoproteinemia and hypoalphalipoproteinemia were 30.7, 15.3, 12.6 and 5.3 %, respectively [4]. Dyslipidemia in childhood can progress in adult stage [5]. Therefore, the early detection of lipoprotein disorders at a young age is very important to prevent complications and decrease coronary heart disease risk in future.

Dyslipidemia is well-known as a complex disorder which is influenced by genetics and environmental factors [68]. There are many environmental factors related to the plasma lipid profile, such as socioeconomic status, diet and physical activity, and especially obesity. Obesity leads to lipid abnormalities partly mediated by adipokines and free fatty acids [9]. In obese individual, reductions in mRNA expression levels of lipoprotein lipase in adipose tissue and lipoprotein lipase activity in skeletal muscle along with competition for lipolysis between very low density lipoprotein and chylomicrons result in decreased lipolysis of TG-rich lipoproteins [10, 11]. Compared with normal-weight individuals, obese patients present with elevated cholesterol synthesis [12]. Therefore, obesity is probably the main cause of dyslipidemia. The distribution of central fat determined by waist circumference was associated with abnormal of TG, LDL-C, and HDL-C levels in children aged 5–17 years [13]. Besides, genetic factors are considered to be important determinants of plasma concentrations of TC, TG, LDL-C and HDL-C in adults [14]. APOE is one of the most important genes that regulate plasma lipid transport and clearance. APOE gene encodes for apolipoprotein E (apo E) protein [15]. Apo E is also one of the central and well established regulators of plasma lipid levels by affecting the hepatic binding, uptake, and catabolism of several classes of lipoproteins [16]. The 3 major isoforms of human apo E (E2, E3, and E4) coded by 3 alleles (ε2, ε3, and ε4) differ in amino acid sequence at 2 sites, residue 112 (rs429358) and residue 158 (rs7412) [17]. These differences alter APOE structure and function. The ε3 (112 cysteine-Cys, 158 arginine-Arg) allele is considered the “neutral” APOE genotype while the ε4 (112 Arg and 158 Arg) and ε2 (112 Cys, 158 Cys) allele associated with dyslipidemia in different adult populations [15, 1820]. However, whether there is a difference between adults and children in the role of APOE for determining plasma lipid and lipoproteins is not clearly understood. Several studies have reported the significant association of APOE polymorphisms with lipid profile in Caucasian children [2124], while studies in Asian children showed inconsistent associations [2527]. Furthermore, the effect of the APOE polymorphism on the lipid profiles has been reported to be modulated by obesity in children [28, 29].

Therefore, we focused on two key questions: (i) Are APOE rs429358 and rs7412 polymorphisms significantly associated with lipid profiles and dyslipidemia in Vietnamese children? and (ii) whether the association could be modulated by obesity-related traits?

Methods

Study subjects

To identify the association between the common APOE polymorphism and plasma lipid disorders in Vietnamese children, we designed a case-control study in which 249 cases were children with hyperlipoproteinemia and 600 controls were children without hyperlipoproteinemia. The study included 849 unrelated children aged 6–10 years: 567 children (405 boys and 162 girls) in Hanoi City; 162 children (104 boys and 58 girls) in Thai Nguyen province and 120 children (81 boys and 39 girls) in Hai Duong province. All of them were Kinh-the major ethnic group in Vietnam. The subjects had no evidence of diseases related to atherosclerosis, coronary artery diseases, diabetes and mental disorder. None of them were using lipid-lowering medication when the blood sample was taken.

Data collection

A questionnaire was provided along with consent forms and parents were asked to provide information regarding the child’s general health. The body weight of participants was measured to the nearest 0.1 kg with standardized medical scales. Subjects were weighed without shoes and minimum of clothing. The height was measured to the nearest 0.1 cm. Body mass index (BMI) was calculated as weight divided by height squared (kg/m2). Waist circumference (WC) was measured at the end of a normal expiration to the nearest 0.1 cm at the mid-point between the last floating rib and the top of the iliac crest. Hip circumference (HC) was measured at the level of the symphysispubis and the greatest gluteal protuberance. Waist-to-hip ratio (WHR) was calculated as WC in cm divided by HC in cm. Blood pressure was measured by using a standardized automated sphygmomanometer (Omron HEM-6131, Tokyo, Japan) after 5 min of rest in the seated position. Blood pressure was measured in duplicate, with an interval of at least 1 min. The mean of the 2 measurements was used as the blood pressure value.

Lipid analysis

Blood lipids and lipoproteins were measured on samples obtained after an overnight fast. Blood samples were collected in EDTA containing tubes. Serum total cholesterol (TC) and triglyceride (TG) were determined with enzymatic method. Serum high-density lipoprotein-cholesterol (HDL-C) and low-density lipoprotein-cholesterol (LDL-C) were measured through a direct assay. All determinations were performed with autoanalyzer (Type Architect C8000; Abbott Ltd., United States of America).

Dyslipidemia was diagnosed according to the criteria of National Cholesterol Education Program [30] for TC and LDL-C and US National Institutes of Health Heart, Lung, and Blood Institute [31] for HDL-C and TG. Hypertriglyceridemia was defined as TG ≥ 100 mg/dL (with children age under 10 years) or TG ≥ 130 mg/dL (with children age uper 10 years). Hypercholesterolemia was defined as TC ≥ 200 mg/dL. Hyperbetalipoproteinemia was defined as LDL-C ≥ 130 mg/dL. Hypoalphalipoproteinemia was defined as HDL-C ≤ 35 mg/dL. The individuals with at least one of the four criteria above were defined as dyslipidemia.

Genotyping method

Peripheral blood samples were obtained from each participants and genomic DNA was extracted from peripheral blood leukocytes, using Wizard® Genomic DNA Purification Kit (Promega Corporation, USA). Genotyping of the APOE was performed by polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) method according to Hixson and Vernier [32] method with some modification. The Fastdigest HhaI restriction enzyme (Thermo Corporation, USA) was added directly to the reaction system consisting of 244 base-pair PCR products (3 μL) in a total 8.0 μL digested for 15 min at 37 °C. Each reaction mixture was loaded onto 12 % polyacrylamide gel and electrophoresised for 90 min at 150 V, 20 mA and 10 W. The digested product was visualized by UV illumination after Redsafe staining for 30 min. Each genotype possessed unique combination of HhaI fragment size. To confirm the accuracy of the RFLP method, six random samples with different genotypes detected by the RFLP method were also confirmed by direct sequencing. The PCR products were purified by low melting point gel electrophoresis and phenol extraction, and then the DNA sequences were analyzed by using the BigDye® Terminator v3.1 cycle sequencing kit chemistry in Axil Scientific Pte Ltd., Singapore. The genotypes by RFLP method were in completed concordance with those of the sequencing method.

Statistical analysis

Qualitative variables were expressed as percentages. Quantitative variables were expressed as means ± SD if variables were normal distribution or median (interquartile range) if variables were not normal distribution. Chi-square test or one-way ANOVA or independent-sample t test or Kruskal-Wallis test or Mann-Whitney U test were used when appropriate. Allele frequency was determined for Hardy-Weinberg equilibrium by Fisher’s exact test. The association of genotypes with plasma lipid disorders was tested by binary logistic regression analysis, taking into account the confounding factors of age, sex, residence, province and each of obesity-related traits including body mass index (BMI), waist circumference (WC), hip circumference (HC), and waist-to-hip ratio (WHR). The statistical analyses were done with the statistical software package SPSS16.0 (SPSS Inc., Chicago, Illinois). To adjust the threshold below which a P-value is considered significant for multiple testing, we used a Bonferroni correction separately for each group of similar tests, taken into account the linkage disequilibrium between two SNPs and correlation among phenotypes. Specifically, P-values < 0.0125 were considered as significant when comparing serum lipid parameters among APOE genotypes and haplotypes; P-values < 0.025 were considered as significant when evaluating risk factors for plasma lipid disorders.

Results

Lipid profile and anthropometric characteristics of the subjects in case and control groups are presented in Table 1. There were significant differences between dyslipidemia and control groups in weight, BMI, WC, WHR, TG, TC, LDL-C, and HDL-C. The genotypic distributions for rs429358 and rs7412 were in Hardy-Weinberg equilibrium in controls (P > 0.05). There was the strong linkage disequilibrium between two SNPs (D’ = 0.99, P = 0.0001). TC haplotype had the highest frequency in all groups (cases: 83.8 %; controls: 80.5 %). Frequencies of TT and CC haplotypes were, respectively, 9.8 and 9.6 % in cases, and 9.0 and 7.2 % in controls.

Table 1 Characteristics of the study subjects

Lipid profile in cases and controls according to APOE genotype is shown in Table 2. The ε4 carriers had the highest concentration of serum TC and LDL-C in cases and controls (P ≤ 0.001), while the ε2 carriers had the lowest. The statistically significant differences among the six genotype groups (ε2/ε2, ε2/ε3, ε3/ε3, ε2/ε4, ε3/ε4, and ε4/ε4) were found in TC and LDL-C for both controls and cases (P ≤ 0.001). Lipid profile in cases and controls according to APOE haplotype is presented in Additional file 1. In both cases and controls, there was a significant difference of TC and LDL-C levels according copy number of TT haplotype: Carriers without TT haplotype had higher serum TC than those with TT haplotype; carriers without TT haplotype had the highest LDL-C level in cases (P < 0.0001).

Table 2 Lipid profiles in cases and controls according to APOE genotypes in Vietnamese children (mg/dL)

We considered the relationship of some obesity-related traits on blood lipid metabolism disorders, and the results showed that there was a strong association of BMI, WC, HC, WHR with TG, TC, HDL-C, and LDL-C (P < 0.0001) (data not shown). Therefore, the association between APOE polymorphism and dyslipidemia was further adjusted for obesity-related traits (BMI, WC, HC, and WHR). Table 3 shows that APOE genotype was significantly associated with hypoalphalipoproteinemia before and after adjusting for BMI and other covariates (age, gender, residence, and province). The ε4 carriers had higher hypoalphalipoproteinemia risk than theε3/ε3 carriers (OR = 2.78, P = 0.02). These above similar associations were found after adjusting for other obesity-related traits including WC, HC, and WHR (Additional file 2).

Table 3 Univariate and multivariate analysis of association of APOE genotype with dyslipidemia and its componentsP-values obtained by univariate logistic regression

Discussion

We have examined the possible association of the APOE rs429358 and rs7412 polymorphism with lipid profiles and disorders in 600 normal and 249 dyslipidemia children. The result showed that the APOE genotype was an independent risk factor for hypoalphalipoproteinemia.

Obesity is the main cause of dyslipidemia because obesity leads to impaired peripheral trapping and increased fluxes of free fatty acids from adipocytes to the liver and other tissues as well as hepatic overproduction of very low density lipoprotein, decreased circulating TG lipolysis and the formation of small dense LDL [9]. The effect of the APOE polymorphism on the TC/HDL-C and apo A-I/apo B ratios is modulated by BMI z-score and adiponectin levels [29]. Therefore, it is crucial to investigate the association of APOE with dislylidemia, considering the contribution of obese status. In present study, the significant association of APOE genotype with hypoalphalipoproteinemia has been found before and after adjustment of obesity-related traits in Vietnamese primary school children. The ε4 carriers had higher hypoalphalipoproteinemia risk than the ε3/ε3 carriers.

Regarding the relationship of APOE polymorphism with plasma lipid levels, we have evaluated the influence of genotype and haplotype. In both cases and controls, carriers without TT haplotype had higher serum TC than those with TT haplotype. Carriers without TT haplotype also had the highest serum LDL-C in cases. The APOE genotype analysis in our study indicated that the ε4 carriers had the highest serum TC and LDL-C concentrations. There are several studies supporting the association of this APOE genoype with these plasma lipid concentrations in children. For instance, ε4 carriers had higher TC, TG, LDL-C concentrations, and lower HDL-C concentration, compared with ε3 carriers [23, 24, 29]. The present study observed no statistically significant association between ε4 genotype and HDL-C concentrations, in line with some studies [33, 34]. On the other hand, there were some investigations reporting that HDL-C concentration was statistically lower in ε4 carriers and higher in ε2 carriers [35, 36]. In this study, we also reported that the ε2 carriers had the lowest serum TC and LDL-C. The ε2 allele was associated with lower TC and LDL-C and with higher HDL-C in the 21-year follow-up study from childhood to adulthood in Young Finns Study [23]. There has been a variation in the association between ε2 genotype and TG level among populations. Several studies showed the significant association between ε2 genotype and TG level in Caucasian subjects [37, 38]. On the other hand, in line with our report, several studies indicated that there was no association between ε2 genotype and TG concentration in both Caucasian and Asian subjects [24, 26]. Thus, the association of ε2 genotype with TG concentration varies by ethnicity. Taken together, the variant determination of APOE genotype on plasma lipid profile may be due to demographic history, the age of the study subjects or diet.

The isoforms of apoE display different role in lipid metabolism and preferences for specific classes of lipoproteins [39]. The apoE isoforms differ in their ability to interact with some receptors (LDL receptor, the LDL receptor-related protein, the VLDL receptor, the apoE receptor-2, and gp330). The E4 isoform has a higher affinity than E2 and E3 isoforms [40]. The different isoforms vary in cholesterol absorption and postprandial remnant clearance. As a result, this leads to down-regulation of hepatic LDL-receptors in subjects with E4-isoform and an increase in serum cholesterol levels [41, 42]. In addition, ApoE isoform-specific activities may be explained by the intramolecular domain interaction of the N-terminal (receptor binding region) and C-terminal (lipid-binding region) domains to determine the preference of apoE4 for VLDL and of apoE3 and apoE2 for HDL [39].

To the best of our knowledge, our study is the initial report on the potential association of APOE genotype and haplotype with plasma lipid disorders in Vietnamese children, independent of obesity-related traits. By comparison with adults, children are less influenced by confounding environmental factors such as alcohol consumption, use of medication, and the presence of undetected diseases. They may therefore be better subjects in whom to identify genetic factors involved in phenotypic variability. The strength of the study is that the sample size was fairly large and it could have the powers between 0.85 and 0.92 to detect the association reported. Meanwhile, there is a limitation of this study. We have not yet considered the influence of diet and physical activity to the association of the APOE polymorphism with dyslipidemia in Vietnamese children.

Conclusions

In conclusion, our data reported that the APOE genotype and haplotype were significantly associated with plasma TC and LDL-C level in Vietnamese children; the association of APOE genotype with hypoalphalipoproteinemia was independent of obesity-related traits.

Abbreviations

Apo:

Apolipoprotein

BMI:

Body mass index

CAD:

Coronary artery disease

CI:

Confidence interval

DNA:

Deoxyribonucleic acid

HC:

Hip circumference

HDL-C:

High-density lipoprotein-cholesterol

LDL-C:

Low-density lipoprotein-cholesterol

OR:

Odd ratio

PCR:

Polymerase chain reaction

RFLP:

Restriction fragment length polymorphism

SNP:

Single nucleotide polymorphism

TC:

Total cholesterol

TG:

Triglyceride

WC:

Waist circumference

WHR:

Waist to hip ratio

References

  1. Tziomalos K, Athyros VG, Karagiannis A, Mikhailidis DP. Dyslipidemia as a risk factor for ischemic stroke. Curr Top Med Chem. 2009;9(14):1291–7.

    Article  CAS  PubMed  Google Scholar 

  2. Musunuru K. Atherogenic Dyslipidemia: Cardiovascular Risk and Dietary Intervention. Lipids. 2010;45(10):907–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Ramos AL, de Carvalho DF, Gonzaga NC, Cardoso AS, Noronha JAF, Cardoso MAA. Lipid profile in overweight children and adolescents. J Hum Growth Dev. 2011;21(3):780–8.

    Article  Google Scholar 

  4. Truong TM, Le TH, Nguyen TH, Ngo TH. Prevalence of overweight, obesity and hyperlipidemia among children 4–9 years old at some schools in Hoan Kiem district, Hanoi. J Food Nutr Sci. 2013;9(3): [Article in Vietnamese].

  5. Tikkanen E, Tuovinen T, Widén E, Lehtimäki T, Viikari J, Kähönen M, et al. Association of known loci with lipid levels among children and prediction of dyslipidemia in adults. Circ Cardiovasc Genet. 2011;4:673–80.

    Article  CAS  PubMed  Google Scholar 

  6. Heller DA, de Faire U, Pedersen NL, Dahlén G, McClearn GE. Genetic and environmental influences on serum lipid levels in twins. N Engl J Med. 1993;328:1150–6.

    Article  CAS  PubMed  Google Scholar 

  7. Ferber D. Lipid research. Possible new way to lower cholesterol. Science. 2000;289:1446–7.

    Article  CAS  PubMed  Google Scholar 

  8. Ruixing Y, Yuming C, Shangling P, Fengping H, Tangwei L, Dezhai Y, Jinzhen W, et al. Effects of demographic, dietary and other lifestyle factors on the prevalence of hyperlipidemia in Guangxi Hei Yi Zhuang and Han populations. EurJ Cardiovasc Prev Rehabil. 2006;13:977–84.

    Article  Google Scholar 

  9. Klop B, Elte JW, Cabezas MC. Dyslipidemia in obesity: mechanisms and potential targets. Nutrients. 2013;5(4):1218–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Clemente-Postigo M, Queipo-Ortuno MI, Fernandez-Garcia D, Gomez-Huelgas R, Tinahones FJ, Cardona F. Adipose tissue gene expression of factors related to lipid processing in obesity. PLoS One. 2011;6:e24783.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Klop B, Jukema JW, Rabelink TJ, Castro CMA. Physician’s guide for the management of hypertriglyceridemia: The etiology of hypertriglyceridemia determines treatment strategy. Panminerva Med. 2012;54:91–103.

    CAS  PubMed  Google Scholar 

  12. Miettinen TA, Gylling H. Cholesterol absorption efficiency and sterol metabolism in obesity. Atherosclerosis. 2000;153(1):241–8.

    Article  CAS  PubMed  Google Scholar 

  13. Freedman DS, Kahn HS, Mei Z, Grummer-Strawn LM, Dietz WH, Srinivasan SR, et al. Relation of body mass index and waist-to-height ratio to cardiovascular disease risk factors in children and adolescents: The Bogalusa Heart Study. Am J Clin Nutr. 2007;86:33–40.

    CAS  PubMed  Google Scholar 

  14. Teslovich TM, Musunuru K, Smith AV, Edmondson AC, Stylianou IM, Koseki M, et al. Biological, clinical and population relevance of 95 loci for blood lipids. Nature. 2010;466:707–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Davignon J, Cohn JS, Mabile L, Bernier L. Apolipoprotein E and atherosclerosis: insight from animal and human studies. Clin Chim Acta. 1999;286:115–43.

    Article  CAS  PubMed  Google Scholar 

  16. Mahley RW, Huang Y. Apolipoprotein E: from atherosclerosis to Alzheimer’s disease and beyond. Curr Opin Lipidol. 1999;10:207–17.

    Article  CAS  PubMed  Google Scholar 

  17. Utermann G, Hees M, Steinmetz A. Polymorphism of apolipoprotein E and occurence of dysbetalipoproteinemia in man. Nature. 1977;269:604–7.

    Article  CAS  PubMed  Google Scholar 

  18. Howard BV, Gidding SS, Liu K. Association of apolipoprotein E phenotype with plasma lipoproteins in African-American and White young adults. The CARDIA Study. Am J Epidemiol. 1998;148:859–68.

    Article  CAS  PubMed  Google Scholar 

  19. Mahley RW, Rall SC. Apolipoprotein E: far more than a lipid transport protein. Annu Rev Genomics Hum Genet. 2000;1:507–37.

    Article  CAS  PubMed  Google Scholar 

  20. Meena K, Misra A, Vikram N, Ali S, Pandey RM, Luthra K. Cholesterol ester transfer protein and apolipoprotein E gene polymorphisms in hyperlipidemic Asian Indians in North India. Mol Cell Biochem. 2011;352:189–96.

    Article  CAS  PubMed  Google Scholar 

  21. Srinivasan SR, Ehnholm C, Wattigney WA, Berenson GS. Relationship between obesity and serum lipoproteins in children with different apolipoprotein E phenotypes: the Bogalusa Heart Study. Metabolism. 1994;43(4):470–5.

    Article  CAS  PubMed  Google Scholar 

  22. Lehtimäki T, Moilanen T, Porkka K, Akerblom HK, Rönnemaa T, Räsänen L, Viikari J, Ehnholm C, Nikkari T. Association between serum lipids and apolipoprotein E phenotype is influenced by diet in a population-based sample of free-living children and young adults: the cardiovascular risk in young Finns study. J Lipid Res. 1995;36(4):653–61.

    PubMed  Google Scholar 

  23. Grönroos P, Raitakari OT, Kähönen M, Hutri-Kähönen N, Marniemi J, Viikari J, Lehtimäki T. Influence of apolipoprotein E polymorphism on serum lipid and lipoprotein changes: a 21-year follow-up study from childhood to adulthood. The Cardiovascular Risk in Young Finns Study. Clin Chem Lab Med. 2007;45(5):592–8.

    Article  PubMed  Google Scholar 

  24. Smart MC, Dedoussis G, Louizou E, Yannakoulia M, Drenos F, Papoutsakis C, Maniatis N, Humphries SE, Talmud PJ. APOE, CETP and LPL genes show strong association with lipid levels in Greek children. Nutr Metab Cardiovasc Dis. 2001;20(1):26–33.

    Article  Google Scholar 

  25. Okada T, Sato Y, Iwata F, Hara M, Kim H, Harada K. Relationship of apolipoprotein E phenotypes to serum lipid and lipoprotein levels in Japanese schoolchildren. Acta Paediatr. 1998;87(4):460–1.

    Article  CAS  PubMed  Google Scholar 

  26. Hu P, Qin YH, Lei FY, Pei J, Hu B, Lu L. Variable frequencies of apolipoprotein E genotypes and its effect on serum lipidsin the Guangxi Zhuang and Han children. Int J Mol Sci. 2011;12(9):5604–15.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Nghiem NT, Ta TTM, Reiko O, Masatoshi K, Nguyen VC, Nguyen TKH, et al. Apolipoprotein E polymorphism in Vietnamese children and its relationship to plasma lipid and lipoprotein levels. Metabolism. 2004;53(12):1517–21.

    Article  PubMed  Google Scholar 

  28. Guerra A, Rego C, Castro EM, Seixas S, Rocha J. Influence of apolipoprotein Epolymorphism on cardiovascular risk factors in obese children. Ann Nutr Metab. 2003;47(2):49–54.

    Article  CAS  PubMed  Google Scholar 

  29. Nascimento H, Silva L, Lourenço P, Weinfurterová R, Castro E, Rego C, Ferreira H, Guerra A, Quintanilha A, Santos-Silva A, Belo L. Lipid profile in Portuguese obese children and adolescents. Interaction of Apolipoprotein E polymorphism with adiponectin Levels. Arch Pediatr Adolesc Med. 2009;163(11):1030–6.

    Article  PubMed  Google Scholar 

  30. National Cholesterol Education Program, American Academy of Pediatrics. National Cholesterol Education Program: Report of the Expert Panel on Blood Cholesterol Levels in Children and Adolescents. Pediatrics. 1992;89(3):525.

    Google Scholar 

  31. Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents; National Heart, Lung, and Blood Institute. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report, 2011. Pediatrics. 2011;128(S5):S213–56.

    PubMed Central  Google Scholar 

  32. Hixson JE, Vernier DT. Restriction isotyping of human apolipoprotein E by gene amplification and cleavage with HhaI. Arteriosclerosis. 1990;31:545–8.

    CAS  Google Scholar 

  33. Schaefer EJ, Lamon-Fava S, Johnson S, Ordovas JM, Schaefer MM, Castelli WP, Wilson PW. Effects of gender and menopausal status on the association of apolipoprotein E phenotype with plasma lipoprotein levels: results from the Framingham Offspring Study. Arterioscler Thromb. 1994;14:1105–13.

    Article  CAS  PubMed  Google Scholar 

  34. Pablos-Mendez A, Mayeux R, Ngai C, Shea S, Berglund L. Association of ApoE polymorphism with plasma lipid levels in a multiethnic elderly population. Arterioscler Thromb Vasc Biol. 1997;17:3534–41.

    Article  CAS  PubMed  Google Scholar 

  35. Wilson HM, Patel JC, Russell D, Skinner ER. Alterations in the concentration of an apolipoprotein E-containing subfraction of plasma high density lipoprotein in coronary heart disease. Clin Chim Acta. 1993;220:175–87.

    Article  CAS  PubMed  Google Scholar 

  36. Ikewaki K, Rader DJ, Zech LA, Brewer HBJ. In vivo metabolism of apolipoproteins A-I and E in patients with abetalipoproteinemia: implications for the roles of apolipoproteins B and E in HDL metabolism. J Lipid Res. 1994;35:1809–19.

    CAS  PubMed  Google Scholar 

  37. Erkkilä AT, Sarkkinen ES, Lindi V, Lehto S, Laakso M, Uusitupa MI. APOE polymorphism and the hypertriglyceridemic effect of dietary sucrose. Am J Clin Nutr. 2001;73(4):746–52.

    PubMed  Google Scholar 

  38. Hernández-Nazará ZH, Ruiz-Madrigal B, Martínez-López E, Roman S, Panduro A. Association of the ε2 allele of apoe gene to hypertriglyceridemia and to early-onset alcoholic cirrhosis. Alcohol Clin Exp Res. 2008;32:559–66.

    Article  PubMed  Google Scholar 

  39. Huang Y, Mahley RW. Apolipoprotein E: structure and function in lipid metabolism, neurobiology, and Alzheimer’s diseases. Neurobiol Dis. 2014;72:3–12.

    Article  CAS  PubMed  Google Scholar 

  40. Weisgraber KH, Innerarity TL, Mahley RW. Abnormal lipoprotein receptor- binding activity of the human E apoprotein due to cysteine-arginine interchange at a single site. J Biol Chem. 1982;257:2518–21.

    CAS  PubMed  Google Scholar 

  41. Davignon J, Gregg RE, Sing CF. Apolipoprotein E polymorphism and atherosclerosis. Arteriosclerosis. 1988;8:1–21.

    Article  CAS  PubMed  Google Scholar 

  42. Garcés C, Benavente M, Ortega H, Rubio R, Lasunción MA, Artalejo FR, Pardo JF, Oya MD. Influence of birth weight on the Apo E genetic determinants of plasma lipid levels in children. Pediatr Res. 2002;52:873–8.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors would like to thank Mr. Phuong PT, and colleagues at the National Institute of Nutrition and Hanoi National University of Education for their kind help and support.

Funding

This study was supported by grant no. B2014-17-47 (Study on the association of TMEM18, APOE genes with obesity and dyslipidemia in primary school children) from the Ministry of Education and Training, Vietnam and grant no. 01C-08/05-2011-2 from Hanoi Department of Science and Technology. The study’s funders had no influence on the design of the study, analysis and interpretation of the data, writing, review, approval or submission of the manuscript.

Availability of data and material

The datasets supporting the conclusions of this article are included within the article and its additional files.

Authors’ contributions

NTHH: Conceptualization of the study, study design, proposal writing, data collection, data analysis, discussion, manuscript writing for publication. BTN, DTAD, LTT: Conceptualization of the study, data collection, discussion and editing of the final draft for publication. LTH, VTMT: data analysis, discussion, and editing of the final draft for publication. TQB: Conceptualization of the study, study design, proposal writing, data analysis, discussion and editing of the final draft for publication. All authors approved the final draft of this article prior to submission.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The research protocol was approved by The Ethics Committee of the National Institute of Nutrition (12-01/HĐĐĐ) and The Institutional Review Board of the National Institute of Hygiene and Epidemiology, Vietnam (IRB-VN01059-25). Written consent to participate in the study was given by the parents of all subjects.

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Correspondence to Tran Quang Binh.

Additional files

Additional file 1:

Table S1. Lipid profiles in cases and controls according to APOE haplotypes in Vietnamese children (mg/dL). TG, triglyceride; TC, total cholesterol; HDL-C, high-density lipoprotein-cholesterol; LDL-C, low-density lipoprotein-cholesterol. Data are median (interquatile range). P-values obtained by Kruskall-Wallis test. Bold values indicate a statistically significant difference among copy number of TC, TT, and CC haplotype after adjustment for multiple testing (P-values < 0.0125). (DOCX 19 kb)

Additional file 2:

Table S2. Multivariate analysis of association for dyslipidemia, adjusted for age, gender, residence, province and obesity-related traits. P-values obtained by multivariate logistic regression and adjusted for age, gender, residence, province, and waist circumference (P*-values) or hip circumference (P**-values) or waist-to-hip ratio (P***-values). Bold values indicate a statistically significant after adjustment for multiple testing (P-values < 0.025). (DOCX 19 kb)

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Hanh, N.T.H., Nhung, B.T., Dao, D.T.A. et al. Association of apolipoprotein E polymorphism with plasma lipid disorders, independent of obesity-related traits in Vietnamese children. Lipids Health Dis 15, 176 (2016). https://doi.org/10.1186/s12944-016-0349-6

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