Open Access

CD36 haplotypes are associated with lipid profile in normal-weight subjects

  • Luz E Ramos-Arellano1,
  • Aralia B Salgado-Bernabé1,
  • Iris P Guzmán-Guzmán1,
  • Lorenzo Salgado-Goytia1,
  • José F Muñoz-Valle2 and
  • Isela Parra-Rojas1Email author
Lipids in Health and Disease201312:167

https://doi.org/10.1186/1476-511X-12-167

Received: 9 September 2013

Accepted: 31 October 2013

Published: 5 November 2013

Abstract

Background

Dyslipidemia is a common metabolic disorder that may result from abnormalities in the synthesis, processing and catabolism of lipoprotein particles. Disorders of lipoprotein concentrations and elevated concentration of oxidized lipoproteins (oxLDL) are risk factors in the pathogenesis of cardiovascular diseases (CVD). CD36 plays an important role in lipid metabolism and polymorphisms in the CD36 gene are related to cardiovascular risk factors. The purpose of this study was to evaluate whether there is an association between genotypes and haplotypes of five polymorphisms in the CD36 gene with lipid levels in young normal-weight subjects.

Methods

A total of 232 unrelated subjects with normal-weight of 18 to 25 years old (157 women and 75 men) were randomly selected. The lipid profile and glucose levels were measured by enzymatic colorimetric assays. Genotyping of the polymorphisms -33137A/G (rs1984112), -31118G/A (rs1761667), -22674 T/C (rs2151916), 27645 Ins/Del (rs3840546) and 30294G/C (rs1049673) in the CD36 receptor gene was performed by polymerase chain reaction and restriction fragment length polymorphism, linkage disequilibrium analysis among the five polymorphisms and an analysis of haplotype were estimated.

Results

HDL-C levels was lower in men than in women (P = 0.03). However, the median oxLDL levels in men was higher than in women (P = 0.05). There was no significant difference in the levels of TC, TG, LDL-C and glucose (P > 0.05). HDL-C levels were lower in the subjects with TC genotype of polymorphism -22674 T/C (P = 0.04), but the carriers of TT genotype had lower oxLDL levels (P = 0.01). LDL-C levels were higher in young carriers of CC genotype for 30294G/C polymorphism than non-carriers (P = 0.03). The subjects carrying the AATDC haplotype had 3.2 times presumably higher risk of LDL-C > 100 mg/dL than the carrying the AGTIG haplotype (P = 0.02), whereas the subjects carrying the AATIC haplotype had 2.0 times presumably higher risk of TC > 200 mg/dL than the carrying the AGTIC haplotype (P = 0.02).

Conclusion

The study provides evidence of a genetic association of CD36 haplotypes with the variability in LDL-C and TC levels in a sample of normal-weight subjects.

Keywords

Dyslipidemia CD36 gene Polymorphisms Haplotypes

Background

Dyslipidemia is a common metabolic disorder that may result from abnormalities in the synthesis, processing and catabolism of lipoprotein particles [1]. Lipoproteins are the macromolecular vehicles for transport of hydrophobic lipids throughout the aqueous environment of the circulatory system; they are composed of various lipid species aggregated with specific proteins (apolipoproteins), which act as receptor ligands, stabilize the emulsion and confer structural properties to the lipoprotein particle [2].

Lipid transport and metabolism involves three general pathways: (1) the exogenous pathway, whereby chylomicrons are synthesized by the small intestine, and dietary triglycerides (TGs) and cholesterol are transported to various cells of the body; (2) the endogenous pathway, whereby the very low-density lipoprotein cholesterol (VLDL-C) and TGs are synthesized by the liver for transport to various tissues; in the plasma, the TGs in VLDLs are hydrolyzed by lipoprotein lipase (LPL), generating a series of smaller, cholesterol enriched lipoproteins: intermediate-density lipoprotein (IDL) and low-density lipoprotein (LDL); (3) and the reverse cholesterol transport, whereby high-density lipoprotein (HDL) in a series of metabolic steps facilitates the removal of cholesterol from the peripheral tissues for delivery to the liver and steroidogenic organs [3]. Disorders of lipoprotein concentrations such as elevated LDL-C (≥160 mg/dL), low HDL-C (<40 mg/dL), increase TG (≥150 mg/dL) and elevated oxidized lipoproteins (oxLDL) levels are risk factors in the pathogenesis of cardiovascular diseases (CVD) [4]. However, it has been shown that atherosclerosis can begin with LDL-C levels ≥100 mg/dL, therefore modification of lipid and lipoprotein classification identifies to LDL-C <100 mg/dL as optimal [5].

CD36 is a polypeptide from 78 to 88 kDa of molecular weight (50 kDa deglycosylated) depending on the cell type [6]. CD36 receptor is involved in a variety of biological processes including lipid metabolism, inflammation, atherosclerosis, angiogenesis, innate immune responses, uptake of apoptotic cells, oxidized lipids and advanced glycation end products, transforming growth factor-β activation, insulin resistance, diabetes and thrombosis, depending on nature of the ligand and tissue or cell type on which it is expressed [710]. CD36 contributes to oral fat perception and intestinal chylomicron formation [11]. CD36 is a multi-ligand scavenger receptor expressed on a variety of cell types including adipocytes, myocytes, monocytes, macrophages, platelets, hepatocytes and vascular epithelial cells [12, 13]. Given the many functions of CD36 including long chain fatty acid transport (LCFA), changes in CD36 expression and protein may lead to several disturbances including insulin resistance and dyslipidemia [14]. This receptor is up regulated by oxLDL in macrophages and contributes to the formation and accumulation of foam cells at sites of arterial lesions during early and late atherosclerosis [15].

The CD36 gene is located on chromosome 7 q11.2, is encoded by 15 exons and spans 36 Kb, CD36 plays an important role in lipid metabolism and its gene polymorphisms are associated to cardiovascular risk factors [16, 17]. Genome-wide linkage scans have identified nearby regions of chromosome 7 that are associated with features of metabolic syndrome, such as triglyceride concentrations, HDL-C, and triglyceride/HDL ratio [18].

The aim of this study was to evaluate whether there is an association between genotypes and haplotypes of five polymorphisms in the CD36 gene with lipid levels in normal-weight young men and women.

Results

General and biochemical characteristics

General and biochemical characteristics of study subjects according to gender are shown in Table 1. The measurements of body weight, height, systolic blood pressure, prevalence of hypertension and oxLDL levels were higher in men than in women (P < 0.05), whereas HDL-C levels was lower in men than in women (P = 0.03). There was no significant difference in the levels of TC, TG, LDL-C and glucose (P > 0.05).
Table 1

Clinical characteristics and lipid levels by gender

Variables

Female (n = 157)

Male (n = 75)

P value

Age (years)

21 (19–22)

20 (20–22)

0.433

Weight (kg)

52 (48–56)

63 (57–68)

0.001

Height (cm)

156 (152–159)

169 (166–173)

0.001

BMI (kg/m2)

22 (20–23)

22 (20–23)

0.411

SBP (mmHg)

102 (97–106)

110 (103–119)

0.001

DBP (mmHg)

66 (60–71)

68 (61–72)

0.299

Hypertension (%)

4 (3)

8 (11)

0.009

TC (mg/dL)

75 (58–102)

77 (57–19)

0.926

HDL-C (mg/dL)

48 (38–58)

42 (37–52)

0.032

LDL-C (mg/dL)

93 (67–118)

89 (70–116)

0.311

oxLDL (U/L)

34 (27–46)

39 (31–53)

0.053

TG (mg/dL)

75 (58–103)

77 (57–109)

0.926

Glucose (mg/dL)

81 (75–88)

81 (75–88)

0.942

SBP, Systolic blood pressure; DBP, Diastolic blood pressure; TC, Total cholesterol; HDL-C, High-density lipoprotein cholesterol; LDL-C, Low-density lipoprotein cholesterol; oxLDL, Oxidized low-density lipoprotein; TG, Triglyceride. The values were presented as median (percentile 25-75th). The difference between genders was determined by the Wilcoxon-Mann–Whitney test. Data of hypertension were presented in (n) and the percentages; the difference between genders was determined by chi-square test.

Genotypic and allelic frequencies

Table 2 shows the genotype and allelic distribution of five CD36 polymorphisms in normal-weight subjects, genotype frequencies of each polymorphism were in Hardy-Weinberg equilibrium. The 27645Ins/Del polymorphism was found high linkage disequilibrium (LD) with -31118G/A and -22674 T/C polymorphisms; while the -33137A/G and -31118G/A polymorphisms were also found in high LD (Figure 1).
Table 2

Allele and genotype frequencies in normal-weight subjects

Polymorphism

Genotype n (%)

Allele

n (%)

HWE X 2 (P value)

Location

-33137A/G

    

5′flanking exon 1A

AA

117 (50)

A

328 (0.71)

0.11 (0.73)

 

AG

94 (41)

G

136 (0.29)

 

GG

21 (9)

   

-31118G/A

    

5′flanking exon 1A

GG

46 (20)

G

196 (0.42)

1.53 (0.21)

 

GA

104 (45)

A

268 (0.58)

 

AA

82 (35)

   

-22674 T/C

    

Promoter

TT

106 (46)

T

309 (0.67)

0.84 (0.35)

 

TC

97 (42)

C

155 (0.33)

 

CC

29 (12)

   

27645Ins/Del

    

Exon 14 (3′-UTR)

Ins/Ins

206 (89)

Ins

437 (0.94)

0.06 (0.79)

 

Ins/Del

25 (10.6)

Del

27 (0.06)

 

Del/Del

1 (0.4)

   

30294G/C

    

Exon 15 (3′-UTR)

GG

13 (6)

G

111 (0.24)

0.01 (0.92)

 

GC

85 (36)

C

353 (0.76)

 

CC

134 (58)

    

HWE, Hardy-Weinberg Equilibrium.

Figure 1

Linkage disequilibrium test of CD36 gene polymorphisms (D’).

As shown in Table 3, the levels of HDL-C were lower in the -22674 TC carriers (P = 0.04), but the subjects with TT genotype for this same polymorphism had lower oxLDL levels than non-carriers (P = 0.01). LDL-C levels were higher in 30294 CC carriers than non-carriers (P = 0.03).
Table 3

Blood lipid profile according to CD36 polymorphisms

Polymorphism

TC (mg/dL)

TG (mg/dL)

HDL-C (mg/dL)

LDL-C (mg/dL)

oxLDL (U/L)

-33137A/G

     

AA

150 (140–178)

70 (53–93)

43 (34–52)

86 (59–124)

32 (26–39)

AG

157 (138–180)

79 (56–109)

41 (35–49)

73 (48–109)

30 (24–38)

GG

154 (136–176)

66 (52–109)

41 (35–50)

63 (52–89)

33 (26–35)

P value

0.64

0.40

0.88

0.19

0.70

-31118G/A

     

GG

149 (131–171)

70 (53–102)

44 (34–59)

82 (55–103)

30 (26–35)

GA

160 (144–181)

79 (63–109)

41 (36–48)

75 (51–109)

31 (26–45)

AA

152 (140–172)

63 (53–95)

42 (34–51)

87 (57–137)

30 (25–38)

P value

0.18

0.09

0.71

0.20

0.34

-22674 T/C

     

TT

152 (137–169)

65 (52–109)

43 (37–58)

77 (51–114)

28 (25–35)

TC

154 (138–179)

77 (62–102)

38 (32–48)

89 (61–116)

34 (28–43)

CC

153 (145–175)

71 (53–92)

44 (34–52)

73 (52–106)

34 (28–46)

P value

0.66

0.71

0.04

0.60

0.01

27645Ins/Del

     

Ins/Ins

153 (139–179)

72 (53–103)

42 (34–50)

78 (55–105)

31 (26–38)

Ins/Del

152 (136–169)

68 (56–108)

42 (31–50)

111 (54–145)

29 (26–34)

Del/Del

149 (149–149)

129 (129–129)

34 (34–34)

123 (123–123)

-

P value

0.66

0.43

0.60

0.31

0.51

30294G/C

     

GG

134 (114–150)

77 (63–107)

46 (39–59)

72 (56–103)

33 (26–47)

GC

153 (133–179)

76 (58–106)

46 (36–57)

89 (67–112)

35 (28–46)

CC

150 (130–175)

75 (56–103)

46 (38–56)

96 (75–121)

36 (28–48)

P value

0.06

0.89

0.76

0.03

0.72

TC, Total cholesterol; TG, Triglyceride; HDL-C, High-density lipoprotein cholesterol; LDL-C, Low-density lipoprotein cholesterol; oxLDL, Oxidized low-density lipoprotein. The values were presented as median (percentile 5-95th). P values among genotypes by Kruskal Wallis test.

Haplotypes and dyslipidemia susceptibility

To examine the combined effect of five variants -33137A/G (rs1984112), -31118G/A (rs1761667), -22674 T/C (rs2151916), 27645Ins/Del (rs3840546) and 30294G/C (rs1049673) in the CD36 receptor gene locus, we performed haplotype analysis considered the combinations most frequent (Table 4). In particular, the subjects with AATDC (12122) haplotype had 3.2 times higher risk of LDL-C >100 mg/dL than the carrying the AGTIG (11111) haplotype (P = 0.02), whereas the subjects carrying the AATIC (12112) haplotype had 2.0 times presumably higher risk of TC > 200 mg/dL than the carrying the AGTIC (11112) haplotype (P = 0.02).
Table 4

Association of CD36 haplotypes with lipid levels

Haplotype

Cases (n = 96) LDL-C >100 mg/dL

Controls (n = 134)

OR (95% CI)

P value

AGTIG

(0.046)

(0.035)

1.28 (0.50-3.28)

0.59

11111

AGTIC

(0.088)

(0.081)

1.06 (0.54-2.08)

0.84

11112

AATIC

(0.365)

(0.340)

1.08 (0.73-1.61)

0.68

12112

AATDC

(0.060)

(0.019)

3.25 (1.12-9.40)

0.02

12122

AACID

(0.116)

(0.145)

0.75 (0.42-1.31)

0.31

12212

GGTIG

(0.045)

(0.099)

0.42 (0.19-0.92)

0.02

21111

GGTIC

(0.042)

(0.034)

1.21 (0.46-3.20)

0.69

21112

GGCIG

(0.050)

(0.086)

0.55 (0.25-1.19)

0.12

21211

GGCIC

(0.112)

(0.066)

1.74 (0.90-3.37)

0.09

21212

    

Haplotype

Cases (n = 26) Cholesterol total >200 mg/dL

Controls (n = 206)

OR (95% CI)

P value

AGTIC

(0.052)

(0.087)

0.60 (0.16-2.15)

0.43

11112

AGCIC

(0.031)

(0.012)

2.86 (0.46-17.50)

0.23

11212

AATIC

(0.472)

(0.332)

2.02 (1.09-3.74)

0.02

12112

AATDC

(0.020)

(0.044)

0.46 (0.06-3.43)

0.44

12122

AACIC

(0.109)

(0.131)

0.85 (0.33-2.13)

0.72

12212

GGTIG

(0.021)

(0.081)

0.25 (0.037-1.74)

0.13

21111

GGTIC

(0.022)

(0.039)

0.58 (0.086-3.95)

0.57

21112

GGCIG

(0.083)

(0.068)

1.30 (0.45-3.77)

0.62

21211

GGCIC

(0.080)

(0.088)

0.94 (0.32-2.74)

0.92

21212

    

1 = Major allele, 2 = minor allele. Markers: -33137A/G, -31118G/A, -22674 T/C, 27645Ins/Del, 30294G/C polymorphisms of CD36 gene.

Discussion

The results of the present study show that the levels of serum HDL-C in a Mexican young population with normal-weight were higher in women than in men. This gender difference in HDL-C may be attributed to high endogenous estrogen levels in women, as it has been demonstrated that estrogen concentrations may increase HDL-C, which confers a protective effect of cardiovascular disease to premenopausal women [19]. However, also has been shown that the difference in HDL-C between women and men is an androgen effect, but not an estrogen effect, therefore, at puberty, concurrent with the rise in endogenous testosterone levels, the HDL-C levels in young men decline to the adulthood [20].

There was no significant difference in the levels of TC, TG, and LDL-C between genders. These findings are in agreement with previous studies in other populations [2123]. In this research, oxLDL levels were higher in men than women; but there is a lack of published data about the oxLDL levels by gender. However, it has been shown that men have a higher oxidative stress compared to women, due to an increased generation of reactive oxygen species (ROS) and/or reduced activity of antioxidants, considering that under healthy conditions, cellular respiration in the mitochondria is the dominant source of ROS, therefore, a higher baseline metabolic rate in men than in women might contribute to a higher level of oxidative stress in men [24]. It is also known that an increase in oxLDL, as a consequence of increased oxidative stress and reduced antioxidant defenses, is a key event in the atherogenic process and a cardiovascular disease risk factor, which may be reflected in an increase in circulating levels of oxLDL [25].

CD36 gene is highly polymorphic; data from Ensembl Variation Build 60 (which is based on dbSNP Release 131) describe 2935 common genetic variants within 5 kb of the gene. Some involve putative transcription factor binding sites or sites in the 5′-untranslated region, which are of potential significance because translational efficiency of the CD36 mRNA and thereby CD36 protein expression levels have been shown to be regulated by variants in the 5′-untranslated region [26]. A study on CD36 gene variants showed that subjects with GG homozygote genotype of the variant 80121259A > G (rs3211849) had a higher triglyceride level (99.16 ± 2.61 mg/dL) compared with non-carriers (89.27 ± 1.45 mg/dL, P = 0.001). In addition, compared with non-carriers, subjects with CT heterozygous and TT homozygous genotypes of the variant 80122878C > T (rs1054516) had a significantly lower HDL-C level (46.6 ± 0.46 mg/dL for non-carriers, 44.6 ± 0.36 mg/dL for heterozygous, and 44.3 ± 0.56 mg/dL for homozygous, P = 0.0008) [27].

Previous genetic studies showed various effects between CD36 locus and dyslipidemias, a genome-wide linkage scan among 418 individuals from 27 extended Mexican American families found two different locations on chromosome 7 were suggested as linked to susceptibility loci influencing in HDL cholesterol and triglycerides levels, however, it has been reported a major susceptibility locus in chromosome 15q influencing in TG levels in a Mexican American population [28]. In addition, among non-diabetic Mexican American families, quantitative trait locus study showed a strong linkage of two factors metabolic syndrome related, HDL-C and triglycerides to chromosome 7 (LOD score up to 3.2) [29].

A meta-analysis showed that CD36 gene locus (7p11-q21.11) was significantly linked to triglycerides and triglycerides/HDL-C ratio, but not linked to LDL or total cholesterol [30]. In addition, a study in 61 CD36-deficient patients and 25 controls showed that the HDL-C concentrations in the CD36-deficient patients were significantly higher than in the control subjects, however, nondiabetic CD36-deficient patients had higher triglyceride concentrations than the control subjects, and triglyceride concentrations were higher in the diabetic CD36-deficient patients than in the nondiabetic CD36-deficient patients [31].

In this research the genotype frequencies of each polymorphism were in Hardy-Weinberg equilibrium. However, genotype and allele frequencies found in this study for each of the polymorphisms in the CD36 gene are different to those reported in Caucasian population [32, 33]. Mexicans are an admixed population, descended from a recent mix of Amerindian and European ancestry with a small proportion of African ancestry [34]. The influence of various races in our genetic background as Mexican population may explain the allele and genotype differences with respect to other populations.

In this study, the 27645Ins/Del polymorphism was found in high LD with polymorphisms -31118G/A, -22674 T/C and 30294G/C. These results were similar to those previously reported by Ma X, et al. in Caucasians [32].

Here we show an association between the CD36 polymorphisms and serum lipid levels in Mexican subjects. In this study, the subjects with -22674TC genotype had lower HDL-C levels than non-carriers. However, oxLDL levels were lower in the TT subjects; these results are different to those reported by Goyenechea et al., 2008 in the Spanish population, they shown that subjects carrying the CC genotype had higher levels of HDL-C and lower LDL-C, this difference may be due to they did a study with dietary intervention where participants were under a low calorie diet for 8 weeks and the sample size, also their sample size was larger than ours, they concluded that the association with lower LDL-C level observed in response to the low calorie diet may devolve from reduced ability of –22674CC homozygotes to take up fatty acids from the intestine, to synthesize triglycerides and secrete LDL-C. Our study also found that 30294CC carriers had higher LDL-C concentrations compared with subjects with the other genotypes; CC genotype was associated with high levels of free fatty acids in Caucasian population [9].

Although it is not clear how -33137A/G, -31118G/A -22674 T/C, 27645Ins/Del and 30294G/C polymorphisms can modulate lipid metabolism, has been demonstrated that -22674 T/C SNP is located upstream of the promoter, 14 bases 5′of the transcription start site, which is a binding element for the transcriptional repressor GFI1B, this SNP was in complete LD with the -33137A/G SNP in Caucasians from the general population, thus so has been reported that the allele A at position -33137A/G is in complete LD with the in3(TG)13 variant, which determines the expression of an alternative spliced, inactive transcript lacking exons 4 and 5 [32]. In addition the allele A of -31118 G/A SNP has been associated with reduced CD36 expression, lies between two alternative CD36 promoters, 1C and 1A [35]. It has been suggested that the 27645Ins/Del and 30294G/C polymorphisms located in the 3′-UTR could determine decreased mRNA stability [32].

In this research, five polymorphisms in the CD36 gene in haplotypes combinations were associated with high LDL-C and TC levels. This study showed that a haplotype analysis with five variants in the CD36 receptor gene may explain the lipid profile variation more than a single variant. Similarly, in the Caucasian population have studied the five polymorphisms in the CD36 receptor gene and were found in high linkage disequilibrium and a common haplotype at the CD36 locus was associated with high free fatty acid levels and increased cardiovascular risk [32]. However, further investigations are needed to confirm our findings and demonstrate the mechanisms underlying such associations.

Nonetheless, the results of association studies must always be interpreted with caution, especially when multiple comparisons are performed, and replication in other populations is needed before a link between CD36 variants, dyslipidemias and cardiovascular disease.

Finally, some limitations of our study should be considered. Although this study had sufficient statistical power to detected large effects resulting from common alleles, the power to evaluate small effects due to rare alleles was limited. However, small genetic effects can be expected because of the complexity of lipid metabolism. Second, we could not completely exclude the influence of factors such as consumption of alcohol and tobacco on lipid levels.

Conclusions

The study provides evidence of a genetic association of CD36 haplotypes with the variability in LDL-C and TC levels in a sample of normal-weight subjects. The CD36 gene may be a candidate susceptibility to dyslipidemia in Mexican population.

Methods

Subjects

A total de 232 unrelated normal-weight subjects of 18 to 25 years old, from the state of Guerrero, Mexico. The participants were randomly selected considering their body mass index (BMI) of 18.5 to 24.9 kg/m2. There were 157 women and 75 men, none of them had medication with lipid-lowering drugs such as statins or fibrates. The participants signed informed consent forms, and the protocol was approved by the Research Ethics Committee of the University of Guerrero.

Blood pressure

Blood pressure was measured in the sitting position with the use of an automatic sphygmomanometer on the left arm after 10 min rest. The systolic blood pressure (SBP) and diastolic blood pressure (DBP) were calculated from two readings with a minimal interval of 10 min. Hypertension was defined as mean SBP ≥140 mmHg and/or DBP ≥90 mm Hg [36].

Biochemical analysis

A venous blood sample of 5 mL was obtained from each subject after at least a 12 hours fasting. All serum lipid levels and glucose were determined by enzymatic methods with commercially available kits (spinreact). Abnormal biochemical levels were identified when total-cholesterol (TC) > 200 mg/dL, TG ≥ 150 mg/dL, LDL-C > 100 mg/dL, HDL-C < 40 mg/dL and glucose >100 mg/dL, based on the criteria of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) [5].

Determination of serum oxLDL

An enzyme-linked immunosorbant assay (ELISA) for oxLDL (Mercodia Oxidized LDL ELISA) was performed, according to the manufacturer’s instructions using coated microtitration strips of 96-well plates, serum was diluted 1/6561, and incubated at room temperature for 2 h in plates precoated with oxLDL-lgG. After six washings, the plates were incubated with an anti-apolipoprotein B (apoB) monoclonal antibody at room temperature for 30 minutes. After the removal of unbound conjugates by washing the samples six times, tetramethylbenzidine (TMB) was added to the wells as a chromogenic substrate. The mixture was incubated at room temperature in the dark for 15 minutes. Color development was stopped via a stopping solution, and absorbency was measured at 450 nm within 30 minutes. The oxLDL was calculated by constructing a standard curve using the standards included in the kit. The oxLDL concentrations in the samples were quantified in biomedical units as defined by the manufacturer.

Genotyping

Genomic DNA was extracted from leukocytes in samples of whole blood and was stored at -20°C until analysis. Genotyping of the five polymorphisms -33137A/G (rs1984112), -31118G/A (rs1761667), -22674 T/C (rs2151916), 27645 Ins/Del (rs3840546) and 30294G/C (rs1049673) was performed by polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP). The five polymorphisms in the CD36 gene were selected for genotyping based on previously reported association with free fatty acids and triglycerides, whose minor allele frequency >5% and one insertion/deletion polymorphism [32]. Primers for the polymorphims were designed and restriction enzymes (REs) were identified using the Primer 3 and NEB cutter softwares respectively. Unique National Center for Biotechnology Information (NCBI) Build 37 chromosome and base pair locations may be obtained from Ensembl Variation Build 59 (which is based on dbSNP Release 131). Details including the location of polymorphisms in the CD36 gene, primer sequences and REs with product sizes are presented in Table 5.
Table 5

- Characteristics of the polymorphisms studied in the CD36 gene

Polymorphisms

Primer sequence

Annealing temp. (°C)

Product size (bp)

Restriction enzyme/allele sizes

-33137A/G

F: 5′-CATGCAGCTCTGTTTTATGTGAG-3′

60

159

MseI

AA 67, 56, 29, 7

(rs1984112)

R: 5′-CCCCATCTCTTAGGCCCGTGACA-3′

AG 85, 67, 56, 29, 7

GG 85, 67, 7

- 31118G/A

F: 5′-CAAAATCACAATCTATTCAAGACCA-3′

58

190

HhaI

AA 190

(rs1761667)

R: 5′-TTTTGGGAGAAATTCTGAAGAG-3′

GA 190, 138, 52

GG 138, 52

-22674 T/C

F: 5-′TCTTGCTGGGCCCTGCCCA-3′

68

452

Hpy 188I

TT 452

(rs2151916)

R: 5′-TGTTTGCCCCAAGTGCTGGGTC-3′

TC 452, 430, 22

CC 430, 22

27645Ins/Del16

F: 5′-GGGACCATTGGTGATGAGAAGG-3′

68

563

Ins/Ins

563, 547

Ins/Del

547

Del/Del

(rs3840546)

R: 5′–TTGGAAAATGCACGGCCAGCA-3′

30294G/C

F: 5′-ACGCTTGGCATCTTCAGAATGCT-3′

60

465

Mnll

GG 331, 134

(rs1049673)

R: 5′TGAACCCCTGCTCAAGAAACAGAGT-3′

GC 331, 265, 134, 66

    

CC 265, 134, 66

Each reaction system of a total volume of 24 μL, containing 100 ng of genomic DNA, 0.2 mM of each primer, 0.2 mM dNTPs, and 2.0U of Taq polymerase (Invitrogen Life Technologies). The PCR products were digested with the respective restriction enzymes, and were visualized on 6% polyacrylamide gels stained with silver nitrate 2%.

Statistical analysis

The statistical analyses were done with the statistical software package SPSS 15.0 and STATA software 9.0. Quantitative variables were expressed as medians and 25th to 75th percentiles or 5th to 95th percentiles; the significance of differences between groups was determined using Wilcoxon-Mann Whitney or Kruskal Wallis test. Qualitative variables were expressed as percentages. Allele and genotype frequencies were determined by calculating Hardy-Weinberg equilibrium, difference in genotype distribution between the groups female and male was obtained using the chi-square test, a P value of less than 0.05 was considered statistically significant. For analysis linkage disequilibrium of polymorphisms in CD36 gene and the association between haplotypes and lipid phenotypes were analysed using the software program SHEsis (http://analysis.bio-x.cn/myAnalysis.php) [37].

Declarations

Acknowledgements

We are grateful to Samuel García-Arellano for his technical assistance. This study was supported by grants of the Fondo SEP-CONACyT (No. 106734) and Programa de Fortalecimiento Académico del Posgrado de Alta Calidad (I010/455/2013 C-677/2013). LERA received a fellowship of CONACyT (No. 236905).

Authors’ Affiliations

(1)
Laboratorio de Investigación en Obesidad y Diabetes, Unidad Académica de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero
(2)
Departamento de Biología Molecular y Genómica, Instituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara

References

  1. Yin RX, Li YY, Lai CQ: Apolipoprotein A1/C3/A5 haplotypes and serum lipid levels. Lipids Health Dis. 2011, 10: 140- 10.1186/1476-511X-10-140PubMed CentralView ArticlePubMedGoogle Scholar
  2. Wasan KM, Brocks DR, Lee SD, Barrable KS, Thornton SJ: Impact of lipoproteins on the biological activity and disposition of hydrophobic drugs: implications for drug discovery. Nat Rev Drug Discov. 2008, 7: 84-97. 10.1038/nrd2353View ArticlePubMedGoogle Scholar
  3. Hachem SB, Mooradian AD: Familial Dyslipidaemias: an Overview of Genetics, Pathophysiology and Management. Drugs. 2006, 66 (15): 1949-1969. 10.2165/00003495-200666150-00005View ArticlePubMedGoogle Scholar
  4. Alvim RO, Freitas SR, Ferreira NE, Santos PC, Cunha RS, Mill JG, Krieger JE, Pereira AC: APOE polymorphism is associated with lipid profile, but not with arterial stiffness in the general population. Lipids Health Dis. 2010, 9: 128- 10.1186/1476-511X-9-128PubMed CentralView ArticlePubMedGoogle Scholar
  5. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Circulation. 2002, 106 (25): 3143-3421.Google Scholar
  6. Gautam S, Banerjee M: The macrophage Ox-LDL receptor, CD36 and its association with type II diabetes mellitus. Mol Genet Metab. 2011, 102: 389-398. 10.1016/j.ymgme.2010.12.012View ArticlePubMedGoogle Scholar
  7. Chen K, Frebbraio M, Li W, Silverstein RL: A specific CD36-dependent signaling pathway is required for platelet activation by oxLDL. Cir Res. 2008, 102 (12): 1512-1519. 10.1161/CIRCRESAHA.108.172064.View ArticleGoogle Scholar
  8. Kar NS, Ashraf MZ, Valiyaveettil M, Podrez EA: Mapping and characterization of the binding site for specific oxidized phospholipids and oxidized low density lipoprotein of scavenger receptor CD36. J Biol Chem. 2008, 283 (13): 8765-8771. 10.1074/jbc.M709195200PubMed CentralView ArticlePubMedGoogle Scholar
  9. Love-Gregory L, Sherva R, Schappe T, Qi JS, McCrea J, Klein S, Connelly MA, Abumrad NA: Common CD36 SNPs reduce protein expression and may contribute to a protective atherogenic profile. Hum Mol Genet. 2011, 20 (1): 193-201. 10.1093/hmg/ddq449PubMed CentralView ArticlePubMedGoogle Scholar
  10. Kondo N, Honda S, Kuno S, Negi A: Positive association of common variants in CD36 with neovascular age‒related macular degeneration. Aging. 2009, 1 (2): 266-274.PubMed CentralPubMedGoogle Scholar
  11. Drover VA, Ajmal M, Nassir F, Davidson NO, Nauli AM, Sahoo D, Tso P, Abumrad NA: CD36 deficiency impairs intestinal lipid secretion and clearance of chylomicrons from the blood. J Clin Invest. 2005, 115: 1290-1297.PubMed CentralView ArticlePubMedGoogle Scholar
  12. Bokor S, Legry V, Meirhaeghe A, Ruiz JR, Mauro B, Widhalm K, Manios Y, Amouyel P, Moreno LA, Molnàr D, Dallongeville J, : Single-nucleotide polymorphism of CD36 locus and obesity in European adolescents. Obesity. 2010, 18 (7): 1398-1403. 10.1038/oby.2009.412View ArticlePubMedGoogle Scholar
  13. Yamashita S, Hirano K, Kuwasako T, Janabi M, Toyama Y, Ishigami M, Sakai N: Physiological and pathological roles of a multi-ligand receptor CD36 in atherogenesis; insights from CD36-deficient patients. Mol Cell Biochem. 2007, 299: 19-22. 10.1007/s11010-005-9031-4View ArticlePubMedGoogle Scholar
  14. Noel SE, Lai C, Mattei J, Parnell LD, Ordovas JM, Tucker KL: Variants of the CD36 Gene and metabolic syndrome in Boston Puerto Rican adults. Atherosclerosis. 2010, 211 (1): 210-215. 10.1016/j.atherosclerosis.2010.02.009PubMed CentralView ArticlePubMedGoogle Scholar
  15. Geloen A, Helin L, Geeraert B, Malaud E, Holvoet P, Marguerie G: CD36 Inhibitors reduce postprandial hypertriglyceridemia and protect against diabetic dyslipidemia and atherosclerosis. PLoS ONE. 2012, 7 (5): e37633-10.1371/journal.pone.0037633PubMed CentralView ArticlePubMedGoogle Scholar
  16. Rac ME, Safranow K, Poncyljusz W: Molecular basis of human gene mutations. Mol Med. 2007, 13 (5–6): 288-296.PubMed CentralPubMedGoogle Scholar
  17. Banerjee M, Gautam S, Saxena M, Kumar H, Agrawal C: Association of CD36 gene variants rs1761667 (G > A) and rs1527483 (C > T) with Type 2 diabetes in North Indian population. Int J Diab Mellitus. 2010, 12 (3): 179-183. doi:10.1016/j.ijdm.2010.08.002View ArticleGoogle Scholar
  18. Pravenec M, Kurtz TW: Molecular genetics of experimental hypertension and the metabolic syndrome: from gene pathways to new therapies. Hypertension. 2007, 49: 941-952. 10.1161/HYPERTENSIONAHA.107.086900View ArticlePubMedGoogle Scholar
  19. Eapen DJ, Kalra GL, Rifai L, Eapen CA, Merchant N, Khan BV: Raising HDL cholesterol in women. Int J Womens Health. 2010, 1: 181-191.PubMed CentralPubMedGoogle Scholar
  20. Rossouw JE: Hormones, genetic factors, and gender differences in cardiovascular disease. Cardiovasc Res. 2002, 53 (3): 550-557. 10.1016/S0008-6363(01)00478-3View ArticlePubMedGoogle Scholar
  21. Kolovou GD, Anagnostopoulou KK, Damaskos DS, Bilianou HI, Mihas C, Milionis HJ, Kostakou PM, Cokkinos DV: Gender differences in the lipid profile of dyslipidemic subjects. Eur J Intern Med. 2009, 20 (2): 145-151. 10.1016/j.ejim.2008.06.011View ArticlePubMedGoogle Scholar
  22. Jimoh K, Adediran S, Agboola M, Busari A, Idowu A, Adeoye A, Adebisi A: Lipid profile of type 2 diabetic patients at a rural tertiary hospital in Nigeria. J Diabetes Endocrinol. 2012, 1 (4): 46-51.Google Scholar
  23. Carnevale GP, Fra GP, Colli E, Bigliocca M, Mella R, Scaglia E, Bartoli E: Sex differences in lipid profiles in relation to the progression of glucose abnormalities. J Diabetes. 2012, 4: 95-101. 10.1111/j.1753-0407.2011.00160.xView ArticleGoogle Scholar
  24. Ide T, Tsutsui H, Ohashi N, Hayashidani S, Suematsu N, Tsuchihashi M, Tamai H, Takeshita A: Greater oxidative stress in healthy young men compared with premenopausal women. Arterioscler Thromb Vasc Biol. 2002, 22 (3): 438-442. 10.1161/hq0302.104515View ArticlePubMedGoogle Scholar
  25. João M, Brandão J, Santos A, Coimbra S: Adipokines, Oxidized Low-Density Lipoprotein, and C-Reactive Protein Levels in Lean, Overweight, and Obese Portuguese Patients with Type 2 Diabetes. ISRN Obes. 2013, 142097: 7-doi:10.1155/2013/142097Google Scholar
  26. Ghosh A, Murugesan G, Chen K, Zhang L, Wang Q, Febbraio M: Platelet CD36 surface expression levels affect functional responses to oxidized LDL and are associated with inheritance of specific genetic polymorphisms. Blood. 2011, 117 (23): 6355-6366. 10.1182/blood-2011-02-338582PubMed CentralView ArticlePubMedGoogle Scholar
  27. Chien KL, Hsu HC, Liu PH, Lin HJ, Chen MF: Common sequence variants in CD36 gene and the levels of triglyceride and high-density lipoprotein cholesterol among ethnic Chinese in Taiwan. Lipids Health Dis. 2012, 11: 174- 10.1186/1476-511X-11-174PubMed CentralView ArticlePubMedGoogle Scholar
  28. Duggirala R, Blangero J, Almasy L, Dyer TD, Williams KL, Leach RJ, O’Connell P, Stern MP: A major susceptibility locus influencing plasma triglyceride concentrations is located on chromosome 15q in Mexican Americans. Am J Hum Genet. 2000, 66 (4): 1237-1245. 10.1086/302849PubMed CentralView ArticlePubMedGoogle Scholar
  29. Arya R, Blangero J, Williams K, Almasy L, Dyer TD, Leach RJ, O’Connell P, Stern MP, Duggirala R: Factors of insulin resistance syndrome–related phenotypes are linked to genetic locations on chromosomes 6 and 7 in nondiabetic Mexican-Americans. Diabetes. 2002, 51 (3): 841-847. 10.2337/diabetes.51.3.841View ArticlePubMedGoogle Scholar
  30. Malhotra A, Elbein SC, Ng MC, Duggirala R, Arya R, Imperatore G, Adeyemo A, Pollin TI, Hsueh WC, Chan JC, Rotimi C, Hanson RL, Hasstedt SJ, Wolford JK: Meta-analysis of genome-wide linkage studies of quantitative lipid traits in families ascertained for type 2 diabetes. Diabetes. 2007, 56 (3): 890-896. 10.2337/db06-1057View ArticlePubMedGoogle Scholar
  31. Furuhashi M, Ura N, Nakata T, Shimamoto K: Insulin sensitivity and lipid metabolism in human CD36 deficiency. Diabetes Care. 2003, 26 (2): 471-474. 10.2337/diacare.26.2.471View ArticlePubMedGoogle Scholar
  32. Ma X, Bacci S, Mlynarski W, Gottardo L, Soccio T, Menzaghi C, Iori E, Lager RA, Shroff AR, Gervino EV, Nesto RW, Johnstone MT, Abumrad NA, Avogaro A, Trischitta V, Doria A: A common haplotype at the CD36 locus is associated with high free fatty acid levels and increased cardiovascular risk in Caucasians. Hum Mol Genet. 2004, 13 (9): 2197-2205.View ArticlePubMedGoogle Scholar
  33. Goyenechea E, Collins LJ, Parra D, Liu G, Snieder H, Swaminathan R, Spector TD, Martínez JA, O’Dell SD: CD36 gene promoter polymorphisms are associated with low density lipoprotein-cholesterol in normal twins and after a low-calorie diet in obese subjects. Twin Res Hum Genet. 2008, 11 (6): 621-628. 10.1375/twin.11.6.621View ArticlePubMedGoogle Scholar
  34. Silva I, Price AL, Patterson N, Yu F, Cox DR, Waliszewska A, McDonald GJ, Tandon A, Schirmer C, Neubauer J, Bedoya G, Duque C, Villegas A, Bortolini MC, Salzano FM, Gallo C, Mazzotti G, Tello-Ruiz M, Riba L, Aguilar-Salinas CA, Canizales-Quinteros S, Menjivar M, Klitz W, Henderson B, Haiman CA, Winkler C, Tusie-Luna T, Ruiz-Linares A, Reich D: A genomewide admixture map for Latino populations. Am J Hum Genet. 2007, 80 (6): 1024-1036. 10.1086/518313View ArticleGoogle Scholar
  35. Pepino MY, Love-Gregory L, Klein S, Abumrad NA: The fatty acid translocase gene CD36 and lingual lipase influence oral sensitivity to fat in obese subjects. J Lipid Res. 2012, 53 (3): 561-566. 10.1194/jlr.M021873PubMed CentralView ArticlePubMedGoogle Scholar
  36. 1999 World Health Organization-International Society of Hypertension Guidelines for the Management of Hypertension. Guidelines Subcommittee. J Hypertens. 1999, 17 (2): 151-183.Google Scholar
  37. Shi YY, He L: SHEsis, a powerful software platform for analyses of linkage disequilibrium, haplotype construction, and genetic association at polymorphism loci. Cell Res. 2005, 15: 97-98. 10.1038/sj.cr.7290272View ArticlePubMedGoogle Scholar

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© Ramos-Arellano et al.; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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