Abstract
Introduction: Dyslipidemia is a known risk factor for cardiovascular disease and is partially determined by genetic variations in the genes involved in lipoprotein metabolism. Therefore, we aimed to assess the association between a polymorphism of the Fatty Acid Binding Protein1 (rs2241883) gene locus and dyslipidemia in an Iranian cohort. Materials and methods: This is a case-control study 2737 individuals were recruited (2203 subjects with dyslipidemia and 534 controls). Dyslipidemia was defined as total cholesterol≥200 mg/dl, or TG≥150 mg/dl, or LDL-C≥130 mg/dl, or HDL-C<40 mg/dl in males and <50 mg/dl in females. Serum lipid profile was determined using a Alcyon Abbott biochemical auto analyzer, USA. Genotyping was made through double amplification refractory mutation system polymerase chain reaction (ARMs PCR). Result: The frequency of TT, CT, CC genotypes of rs2241883 polymorphism of FABP1 gene were 65.5, 33.4, 5.1 in subjects with dyslipidemia and 56.9%, 40.4%, 2.6% in subjects without dyslipidemia, respectively. Using a dominant genetic model, subjects carrying C allele (CC&CT genotypes) had a 22% lower risk of dyslipidemia (OR: 0.78, CI 95%: 0.62-0.98 P, 0.03). Individuals with CT vs. TT genotypes had a significantly lower risk of a high serum TC and LDL level. Further analysis showed that there was a positive association between FABP1 genotype (CT) and isolated HTG as well as combined dyslipidemia. The change of a polar amino acid (threonine) in position T94A to a hydrophobic amino acid (alanine) can cause transformation protein. Conclusions: A CC genotype of the rs2241883 polymorphism of the FABP1 gene appears to confer a higher risk of dyslipidemia in our representative cohort of Iranian individuals.
| Original language | English |
|---|---|
| Article number | 102324 |
| Number of pages | 6 |
| Journal | Prostaglandins Leukotrienes and Essential Fatty Acids |
| Volume | 172 |
| Early online date | 7 Aug 2021 |
| DOIs | |
| Publication status | Published - 1 Sept 2021 |
Bibliographical note
Funding Information:We would like to thank Mashhad University of Medical Sciences Research Council for their financial supports.(Grant No. 971203)
Funding
We would like to thank Mashhad University of Medical Sciences Research Council for their financial supports.(Grant No. 971203)
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Dyslipidemia
- FABP1
- Genetic variants
- Polymorphism
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