29 September 2014: Clinical Research
Polymorphism Ala54Thr of Fatty Acid-Binding Protein 2 Gene is Not Associated with Stroke Risk in Han Population of Hunan China
Yanmin Song ABCDEF , Yinxi Long ABCDF , Lili Long CDE , Ning Zhang CDE , Yunhai Liu ABCDEFG
DOI: 10.12659/MSM.892226
Med Sci Monit 2014; 20:1751-1757
Abstract
BACKGROUND: The aim of this study is to make sure whether polymorphism Ala54Thr of gene Fatty Acid-Binding Protein 2 (FABP2) is associated with stroke risk in Hunan Han population of China.
MATERIAL AND METHODS: A total of 206 cerebral infarction (CI), 185 cerebral hemorrhage (CH) and 172 controls were enrolled in our study. Ala54Thr was applied by polymerasechain reaction (PCR) and restriction fragment length polymorphism (RFLP).
RESULTS: No significant difference in Ala54Thr genotypic distribution of FABP2 was observed between stroke group (CI subgroup, CH subgroup included) and controls group. In stroke group, plasma TG level of who carried Ala54Thr, Thr54Thr of FABP2 is significantly higher than who carring Ala54Ala. In controls group, blood lipid is not significantly different among 3 genotypes of Ala54Thr. There is no significant difference in blood pressure and fasting blood sugar between strokes and controls.
CONCLUSIONS: Our study shows that Ala54Thr of FABP2 may be not associated with stroke risk but associated with plasma TG level of stroke patients for Hunan Han population of China.
Keywords: Demography, Case-Control Studies, Amino Acid Substitution, Ethnic Groups - genetics, Fatty Acid-Binding Proteins - genetics, Gene Frequency - genetics, Genetic Association Studies, Genetic Predisposition to Disease, Logistic Models, Polymorphism, Single Nucleotide - genetics, Risk Factors, Stroke - genetics
Background
Stroke is well known as one of the most serious diseases endangering human health. In recent years, with the aging of population and lifestyle changing in China, the incidence and mortality of stroke increased rapidly, causing huge burdens to the economy, families, and society [1,2]. Stroke, as one of complex diseases, is widely considered to be caused by interaction between genetic and environmental factors. For individualized treatment and screening susceptible populations at risk of stroke, it is important to find the key genes involved [3].
To the best of our knowledge, it has not been determined whether Ala54Thr of
Material and Methods
SUBJECTS:
This study was approved by the Medical Ethics Committee of Xiangya Hospital (Changsha, Hunan province, China). All subjects signed an informed consent. We enrolled 391 stroke patients in the Department of Neurology, Xiangya Hospital from May 1, 2008 to February 28, 2009. They were divided into 2 subgroups: Cerebral infarction (CI) subgroup, 206 patients (134 men and 72 women, average age 62.74±9.9 years); and Cerebral hemorrhage (CH) subgroup, 185 patients (117 men and 68 women, average age 58.9±11.7 years). All the stroke patients were diagnosed through CT and/or MRI according with the Diagnostic Criteria of Fourth National Cerebrovascular Disease Conference of China [16]. Patients with cerebral infarction caused by cardiogenic factors, arteritis, hematological disorders, tumors, or cerebral vascular malformations were excluded. Patients who took oral anticoagulants or contraceptives in the last 3 months, who were pregnant, or who had liver and kidney diseases or autoimmune diseases were excluded.
Sex- and age-matched controls consisted of 172 healthy volunteers (109 men and 63 women, average age 60.8±10.5 years), recruited over the same time period. Exclusion criteria of the control group were: history of stroke or family history of stroke; liver or kidney diseases; hematological diseases; and autoimmune diseases.
BLOOD BIOCHEMISTRY TESTS AND GENOMIC DNA EXTRACTION:
For each subject, 3 ml of peripheral blood was collected for examination of fasting blood sugar (FBS) and blood lipids. Another 3 ml of the blood sample (EDTA anticoagulant) was used for genomic DNA extraction by the phenol/chloroform method.
GENOTYPING BY PCR-RFLP:
The primers for Ala54Thr genotyping were designed according to the reference [17] and synthesized by Sangon Biotech Co., Ltd., (Shanghai, China). The sequence of the primers was 5′-ACAGGTGTTAATATAGTGAAAAG-3′ (forward primer) and 5′-TACCCTGAGTTCAGTTCCGTC-3′ (reverse primer). The length of the amplification product was 180 bp. PCR was conducted: pre-denaturation at 94°C for 6 min, 35 cycles of denaturation at 94°C for 35 s, annealing at 53°C for 30 s, then extension at 72°C for 30 s; and final extension at 72°C for 30 s.
An Hha I restriction enzyme cutting sites exists in the PCR amplification product of wild-type homozygotes. Variant of G→A (Ala→Thr) can lead to loss of this enzyme cutting site [17]. We took 5 μl of PCR product for digestion with restriction enzyme Hha I (Biolabs Co., UK). The enzyme cutting reaction was incubated at 37°C for 5 h, and 5 μl of reaction product was taken for electrophoresis (0.5×TBE, 110 V, 45 min) on a 3% agarose gel containing 0.5 g/ml ethidium bromide. Genotype detection: wild-type homozygotes (Ala/Ala), with 2 fragments at 99bp and 81bp; heterozygotes (Ala/Thr), 3 fragments with lengths of 180bp, 99bp, and 81bp respectively; and only 1 fragment for the mutant homozygotes (Thr/Thr) with length of 180 bp.
STATISTICAL ANALYSIS:
Genotypic and allelic frequencies were calculated using the direct gene counting method. Statistical analysis was performed using SPSS 18.0 software (SPSS Inc., Chicago, IL, USA). The
Results
CHARACTERISTICS OF SUBJECTS:
The main clinical data of the stroke group and control group are listed in Table 1. There was not significant difference in sex, age, smoking history, or drinking history between the stroke group (2 subgroups respectively) and control group (P<0.05), but systolic blood pressures (SBP) and diastolic blood pressures (DBP) were significantly different (P<0.05). Body mass index (BMI) of the CI subgroup was significantly higher than in controls (P<0.05). High-density lipoprotein (HDL) level of the stroke group (subgroups respectively) was significantly lower than in the control group (P<0.05). TG and low-density lipoprotein (LDL) levels of the CI subgroup were significantly higher than in controls (P<0.05).
DISTRIBUTION OF GENOTYPES AND ALLELES:
We enrolled 563 subjects in this study. Frequencies of genotypes and alleles in both groups were compatible with the Hardy-Weinberg equilibrium. Frequencies of 3 genotypes (Ala/Ala, Ala/Thr, and Thr/Thr) in the stroke group were 45.0%, 43.0%, and 12.0%, respectively, which were not significantly different from the control group. Frequencies of 3 genotypes (Ala/Ala, Ala/Thr, and Thr/Thr) in the CI and CH subgroups were 44.2%, 42.7%, 13.1% and 45.9%, 43.2%, 10.8%, respectively. Frequencies of allele Thr 54/Ala 54 in CI and CH were 0.655/0.345 and 0.676/0.324, respectively. There was no significant difference between the 2 subgroups and the control group (P>0.05) (Table 2).
ALA54THR AND TRADITIONAL STROKE RISK FACTORS:
As shown in Table 3, in the stroke group and in the control group there was no significant difference in levels of FBS, BP, TC, LDL, and HDL among the 3 genotypes (P>0.05). In the stroke group, TG levels of subjects carrying Ala/Thr and Thr/Thr genotypes were higher than who carrying Ala/Ala genotype (P<0.05). In the control group, this difference did not exist among the 3 genotypes (P>0.05).
In Table 4 we merged genotypes Ala/Thr and Thr/Thr into Thr (+) alleles and compared them with Thr (−) alleles (Ala/Ala). All stroke patients were first stratified according to sex and then stratified according to whether they were carrying Thr allele. No significant difference between Thr (+) and Thr (−) (P> 0.05) was found in sex, blood pressure, FBS, TC, or LDL levels. For male stroke patients, TG level of Thr (+) was higher than Thr (−) and HDL level of Thr (+) was lower than Thr (−) (P<0.05). For female stroke patients, TG level of Thr (+) was significant higher than Thr (−) (P <0.05).
MULTIPLE LOGISTIC REGRESSION MODEL:
Candidate variables such as sex, body mass index, smoking history, drinking history, hypertension history, diabetes history, SBP, DBP, TC, TG, LDL, HDL, and FABP2 Ala54Thr genotypes were imported into multivariate logistic regression models. Stepwise regression method was used to filter out the risk factors. Stroke diagnosis was used as the dependent variable. Variable inclusion and exclusion criteria were αin=0.10 and αout=0.15. Our results showed that hypertension history, TG, and DBP were risk factors; HDL presented as a protective factor; other candidate variables (including Ala54Thr genotypes) did not enter into the model. The results are shown in Table 5.
Discussion
In recent years, many studies have found that polymorphisms of
In the present study, PCR-RFLP method was used to genotype Ala54Thr in the stroke group and control group. There was no significant difference in frequencies of genotypes and alleles between the 2 groups, suggesting that the Ala54Thr polymorphism of
Accumulating evidence shows that Ala54Thr is closely associated with dyslipidemia. In the Framingham population, Galluzzi found that Thr54 allele of
These results indicate that polymorphism Ala54Thr of
Conclusions
Although our study found an effect of Ala54Thr on plasma TG level of stroke patients, this variant had nothing to do with stroke risk. Further research with larger sample is warranted to determine if Ala54Thr of
References
1. Sun H, Zou X, Liu L, Epidemiological factors of stroke: a survey of the current status in china: J Stroke, 2013; 15; 109-14, pmid: 24324946
2. Liu L, Wang D, Wong KS, Wang Y, Stroke and stroke care in China: huge burden, significant workload, and a national priority: Stroke, 2011; 42; 3651-54, pmid: 22052510
3. Duan H, Cai Y, Sun X, Platelet glycoprotein IIb/IIIa polymorphism HPA-3 b/b is associated with increased risk of ischemic stroke in patients under 60 years of age: Med Sci Monit, 2012; 18(1); CR19-24, pmid: 22207115
4. Sweetser DA, Birkenmeier EH, Klisak IJ, The human and rodent intestinal fatty acid binding protein genes. A comparative analysis of their structure, expression, and linkage relationships: J Biol Chem, 1987; 262; 16060-71, pmid: 2824476
5. Baier LJ, Sacchettini JC, Knowler WC, An amino acid substitution in the human intestinal fatty acid binding protein is associated with increased fatty acid binding, increased fat oxidation, and insulin resistance: J Clin Invest, 1995; 95; 1281-87, pmid: 7883976
6. Vimaleswaran KS, Radha V, Mohan V: Metabolism, 2006; 55; 1222-26, pmid: 16919542
7. Alharbi KK, Khan IA, Bazzi MD, A54T polymorphism in the fatty acid binding protein 2 studies in a Saudi population with type 2 diabetes mellitus: Lipids Health Dis, 2014; 13; 61, pmid: 24690233
8. Galluzzi JR, Cupples LA, Otvos JD, Association of the A/T54 polymorphism in the intestinal fatty acid binding protein with variations in plasma lipids in the Framingham Offspring Study: Atherosclerosis, 2001; 159; 417-24, pmid: 11730822
9. Wanby P, Palmquist P, Brudin L, Carlsson M, Genetic variation of the intestinal fatty acid-binding protein 2 gene in carotid atherosclerosis: Vasc Med, 2005; 10; 103-8, pmid: 16013194
10. Georgopoulos A, Bloomfield H, Collins D, Codon 54 polymorphism of the fatty acid binding protein (FABP) 2 gene is associated with increased cardiovascular risk in the dyslipidemic diabetic participants of the Veterans Affairs HDL intervention trial (VA-HIT): Atherosclerosis, 2007; 194; 169-74, pmid: 16945373
11. Turkovic LF, Pizent A, Dodig S: Biochem Med (Zagreb), 2012; 22; 217-24, pmid: 22838187
12. Martínez-López E, Ruíz-Madrigal B, Hernández-Cañaveral I, Panduro A: Diab Vasc Dis Res, 2007; 4; 235-36, pmid: 17907115
13. Wanby P, Palmquist P, Brudin L, Carlsson M, Genetic variation of the intestinal fatty acid-binding protein 2 gene in carotid atherosclerosis: Vasc Med, 2005; 10; 103-8, pmid: 16013194
14. Yamada Y, Kato K, Oguri M, Association of genetic variants with atherothrombotic cerebral infarction in Japanese individuals with metabolic syndrome: Int J Mol Med, 2008; 21; 801-8, pmid: 18506375
15. Carlsson M, Orho-Melander M, Hedenbro J, The T 54 allele of the intestinal fatty acid-binding protein 2 is associated with a parental history of stroke: J Clin Endocrinol Metab, 2000; 85; 2801-4, pmid: 10946885
16. The Forth National Cerebrovascular Diseases Conference, Diagnostic criteria and disability scale for cerebrovascular diseases: Chin J Neurol, 1996; 29; 379 [in Chinese]
17. Kunsan X, Taisan Z, Weiping J, The association of Ala54Thr variant of intestinal fatty acid binding protein gene with general and regional adipose tissue depots: Chin Med Sci J, 1999; 14; 46-51, pmid: 12899384
18. Chamberlain AM, Schreiner PJ, Fornage M, Ala54Thr polymorphism of the fatty acid binding protein 2 gene and saturated fat intake in relation to lipid levels and insulin resistance: the Coronary Artery Risk Development in Young Adults (CARDIA) study: Metabolism, 2009; 58; 1222-28, pmid: 19439328
19. de Koning L, Merchant AT, Hegele RAStudy of Health Assessment and Risk in Ethnic Groups investigators: Clin Chem, 2008; 54; 1742-44, pmid: 18824579
20. De Luis DA, Gonzalez Sagrado M, Aller R, Influence of Ala54Thr polymorphism of fatty acid-binding protein 2 on insulin resistance and adipocytokines in patients with diabetes mellitus type 2: Eur Rev Med Pharmacol Sci, 2010; 14; 89-95, pmid: 20329566
21. Morcillo S, Rojo-Martínez G, Cardona F, Effect of the interaction between the fatty acid binding protein 2 gene Ala54Thr polymorphism and dietary fatty acids on peripheral insulin sensitivity: a cross-sectional study: Am J Clin Nutr, 2007; 86; 1232-37, pmid: 17921407
22. Chiu KC, Chuang LM, Yoon C, The A54T polymorphism at the intestinal fatty acid binding protein 2 is associated with insulin resistance in glucose tolerant Caucasians: BMC Genet, 2001; 2; 7, pmid: 11299043
23. Albala C, Villarroel A, Santos JL: Diabetes Res Clin Pract, 2007; 77; 245-50, pmid: 17292994
24. Pérez-Bravo F, Fuentes M, Angel B: Acta Diabetol, 2006; 43; 93-98, pmid: 17211557
25. Erkkilä AT, Lindi V, Lehto S, Variation in the fatty acid binding protein 2 gene is not associated with markers of metabolic syndrome in patients with coronary heart disease: Nutr Metab Cardiovasc Dis, 2002; 12; 53-59, pmid: 12189904
26. Stan S, Lambert M, Delvin E, Intestinal fatty acid binding protein and microsomal triglyceride transfer protein polymorphisms in French-Canadian youth: J Lipid Res, 2005; 46; 320-27, pmid: 15547295
27. Zhao T, Nzekebaloudou M, lv J, Ala54Thr polymorphism of fatty acid-binding protein 2 gene and fasting blood lipids: a meta-analysis: Atherosclerosis, 2010; 210; 461-67, pmid: 20047744
28. McColley SP, Georgopoulos A, Young LR, A high-fat diet and the threonine-encoding allele (Thr54) polymorphism of fatty acid-binding protein 2 reduce plasma triglyceride-rich lipoproteins: Nutr Res, 2011; 31; 503-8, pmid: 21840466
29. Vincent S, Planells R, Defoort C, Genetic polymorphisms and lipoprotein responses to diets: Proc Nutr Soc, 2002; 61; 427-34, pmid: 12691171
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