Impact of APOE Alleles-by-Diet Interactions on Glycemic and Lipid Features- A Cross-Sectional Study of a Cohort of Type 2 Diabetes Patients from Western Mexico: Implications for Personalized Medicine.
Impact of APOE Alleles-by-Diet Interactions on Glycemic and Lipid Features- A Cross-Sectional Study of a Cohort of Type 2 Diabetes Patients from Western Mexico: Implications for Personalized Medicine.
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DOI：
10.2147/pgpm.s277952
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发表时间：
2020
影响因子：
1.9
通讯作者：
Zepeda-Carrillo EA
中科院分区：
文献类型：
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作者：
Torres-Valadez R;Ramos-Lopez O;Frías Delgadillo KJ;Flores-García A;Rojas Carrillo E;Aguiar-García P;Bernal Pérez JA;Martinez-Lopez E;Martínez JA;Zepeda-Carrillo EA
分析载脂蛋白E（APOE）ε2、ε3和ε4等位基因与营养因素对墨西哥西部2型糖尿病（T2 D）患者队列血糖控制和血脂水平的临床相关相互作用。在这项T2 D患者队列的横断面研究中，共选择了224名个体进行相互作用研究。临床和人体测量数据从预先设计的医疗记录中获得。通过经验证的三天摄食量记录评估饮食摄入量。通过自动化方法测定生化测量值。APOE基因分型通过实时等位基因鉴别试验进行。通过校正的多元线性回归分析检验基因-饮食相互作用，并通过潜在混杂因素（如年龄、性别、能量摄入、BMI和抗高血糖治疗（二甲双胍、格列本脲或胰岛素）以及T2 D年数）进行校正。76%的T2 D患者接受了美托洛尔治疗。等位基因频率依次为ε2（5.8%）、ε3（74.1%）和ε4（20.1%）。有趣的是，仅在低MUFA摄入量的APOE ε2等位基因携带者中发现较高的血液总胆固醇（p int. = 0.016）、非HDL-c（p int. = 0.024）和LDL-c（p int. = 0.030）水平。相比之下，饮食中ω-6：ω-3 PUFA比例较高的APOE ε4等位基因携带者的%HbA1c血液浓度较高（p int. = 0.035）。这项研究表明，APOE等位基因对血脂/血糖表型的差异代谢影响取决于饮食摄入量，在2型糖尿病患者的个性化药物和营养管理中具有重要的潜在意义。
To analyze clinically relevant interactions between the apolipoprotein E (APOE) ε2, ε3 and ε4 alleles and nutritional factors on glycemic control and lipid levels in a cohort of type 2 diabetes (T2D) patients from western Mexico. In this cross-sectional study of the cohort of T2D patients, a total of 224 individuals were selected for interaction studies. Clinical and anthropometric data were obtained from pre-designed medical records. Dietary intake was assessed by validated three-day food consumption records. Biochemical measurements were determined by automated methods. APOE genotyping was performed by a real-time allelic discrimination assay. Gene–diet interactions were tested by corrected multiple linear regression analyses, which were adjusted by potential confounding factors such as age, sex, energy intake, BMI and anti-hyperglycemic therapy (Metformin, Glibenclamide or Insulin), and years with T2D. Seventy-six percent of patients with T2D were on Metformin therapy. The frequencies of the APOE alleles were ε2 (5.8%), ε3 (74.1%) and ε4 (20.1%). After statistical settings, significant APOE alleles-by-diet interactions in relation to the metabolic profile were found. Interestingly, higher blood levels of total cholesterol (p int. = 0.016), non-HDL-c (p int. = 0.024), and LDL-c (p int. = 0.030) were found only in carriers of the APOE ε2 allele with a low consumption of MUFA. In contrast, carriers of the APOE ε4 allele with a high ω-6:ω-3 PUFA ratio in the diet had higher %HbA1c blood concentrations (p int. = 0.035). This study suggests a differential metabolic impact of APOE alleles on lipid/glycemic phenotypes depending on the dietary intake, with important potential implications in the personalized medicine and nutritional management of patients with type 2 diabetes mellitus.