AUTHOR=Wang Xixiang , Ma Xiaojun , Xu Jingjing , Guo Yujie , Zhou Shaobo , Yu Huiyan , Yuan Linhong 

TITLE=Association of cluster determinant 36, scavenger receptor class B type 1, and major facilitator superfamily domain containing the 2a genetic polymorphism with serum lipid profile in aging population with type 2 diabetes mellitus

JOURNAL=Frontiers in Nutrition

VOLUME=9

YEAR=2022

URL=https://www.frontiersin.org/journals/nutrition/articles/10.3389/fnut.2022.981200

DOI=10.3389/fnut.2022.981200

ISSN=2296-861X

ABSTRACT=<sec><title>Background</title><p>Lipid metabolism disorder commonly happens in subjects with Type 2 diabetes mellitus (T2DM) which may be linked to genetic variants of lipid metabolism-related genes. However, few studies have explored the relationship between lipid metabolism-related gene polymorphism and serum lipid profile in aging subjects with T2DM. The present study was designed to explore the impact of genetic polymorphism of cluster determinant 36 (<italic>CD36</italic>) (rs1049673, rs1054516, rs2151916), scavenger receptor class B type 1 (<italic>SCARB1</italic>) (rs5888), and major facilitator superfamily domain containing the 2a (<italic>MFSD2A</italic>) (rs12083239, rs4233508, rs12072037) on the relationship between circulating lipids in aging subjects with T2DM.</p></sec><sec><title>Methods</title><p>205 T2DM patients and 205 age and gender matched control subjects were recruited. Information on demographic characteristics was collected by using a self-administered questionnaire. Fasting venous blood samples were taken for lipid-related gene genotyping and serum lipid profile measurement. The Chi-square test was used to compare percentage differences and to calculate <italic>P</italic>-value for Hardy-Weinberg equilibrium. Logistic regression and multiple linear regression were used to explore the risk or correlation between variables, and general linear model (GLM) was used to compare the means of serum lipids between the groups.</p></sec><sec><title>Results</title><p>In T2DM group, <italic>CD36</italic> rs1054516 and <italic>MFSD2A</italic> rs12072037 were correlated with serum TC level. In control group, <italic>CD36</italic> rs1049673 was correlated with serum HDL-C level. Meanwhile, T2DM subjects with <italic>MFSD2A</italic> rs12083239 (CG), <italic>MFSD2A</italic> rs4233508 (TT), and <italic>MFSD2A</italic> rs12072037 (AA) had higher TG level than control subjects. T2DM subjects with <italic>CD36</italic> rs1049673 (CG, GG), <italic>CD36</italic> rs1054516 (CT), <italic>CD36</italic> rs2151916 (TT, CT), <italic>SCARB1</italic> rs5888 (GG), <italic>MFSD2A</italic> rs12083239 (GG, CG), <italic>MFSD2A</italic> rs4233508 (TT), and <italic>MFSD2A</italic> rs12072037 (CA, AA) had lower HDL-C level than control subjects. T2DM subjects with <italic>MFSD2A</italic> rs12072037 (AA) had lower LDL-C level than control subjects. In dominant model, major genotype (GG) of <italic>SCARB1</italic> gene was associated with the risk of T2DM (OR = 0.636, <italic>P</italic> = 0.032).</p></sec><sec><title>Conclusion</title><p>The genetic polymorphism of <italic>CD36</italic> (rs1049673, rs1054516, rs2151916), <italic>SCARB1</italic> (rs5888), and <italic>MFSD2A</italic> (rs12083239, rs4233508, rs12072037) were associated with serum lipids in T2DM subjects. The <italic>SCARB1</italic> rs5888 major genotype (GG) was a protective factor for T2DM. Large scale cohort study is required to determine the relationship between lipid metabolism-related gene polymorphism, serum lipid profile and T2DM in aging subjects.</p></sec>