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首页> 外文期刊>The Journal of Nutrition: Official Organ of the American Institute of Nutrition >Gender and Single Nucleotide Polymorphisms in MTHFR, BHMT, SPTLC1, CRBP2, CETP, and SCARB1 Are Significant Predictors of Plasma Homocysteine Normalized by RBC Folate in Healthy Adults
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Gender and Single Nucleotide Polymorphisms in MTHFR, BHMT, SPTLC1, CRBP2, CETP, and SCARB1 Are Significant Predictors of Plasma Homocysteine Normalized by RBC Folate in Healthy Adults

机译:MTHFR,BHMT,SPTLC1,CRBP2,CETP和SCARB1中的性别和单核苷酸多态性是正常成年人血浆同型半胱氨酸的重要预测指标,该血浆同型半胱氨酸被RBC叶酸标准化

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Using linear regression models, we studied the main and 2-way interaction effects of the predictor variables gender, age, BMI, and 64 folate/vitamin B-12/homocysteine (Hcy)/lipid/cholesterol-related single nucleotide polymorphisms (SNP) on log-transformed plasma Hcy normalized by RBC folate measurements (nHcy) in 373 healthy Caucasian adults (50% women). Variable selection was conducted by stepwise Akaike information criterion or least angle regression and both methods led to the same final model. Significant predictors (where P values were adjusted for false discovery rate) included type of blood sample [whole blood (WB) vs. plasma-depleted WB; P 0.001] used for folate analysis, gender (P 0.001), and SNP in genes SPTLC1 (rs11790991; P = 0.040), CRBP2 (rs2118981; P 0.001), BHMT (rs3733890; P = 0.019), and CETP (rs5882; P = 0.017). Significant 2-way interaction effects included gender × MTHFR (rs1801131; P = 0.012), gender × CRBP2 (rs2118981; P = 0.011), and gender × SCARB1 (rs83882; P = 0.003). The relation of nHcy concentrations with the significant SNP (SPTLC1, BHMT, CETP, CRBP2, MTHFR, and SCARB1) is of interest, especially because we surveyed the main and interaction effects in healthy adults, but it is an important area for future study. As discussed, understanding Hcy and genetic regulation is important, because Hcy may be related to inflammation, obesity, cardiovascular disease, and diabetes mellitus. We conclude that gender and SNP significantly affect nHcy.
机译:使用线性回归模型,我们研究了预测变量性别,年龄,BMI和64种叶酸/维生素B-12 /同型半胱氨酸(Hcy)/脂质/胆固醇相关的单核苷酸多态性(SNP)的主要和双向相互作用经RBC叶酸测量(nHcy)归一化后的对数转化血浆Hcy的变化(在373名健康的白种人成年人中(50%的女性))。通过逐步的Akaike信息准则或最小角度回归进行变量选择,两种方法都得出相同的最终模型。重要的预测指标(其中P值针对错误发现率进行了调整)包括血样的类型[全血(WB)与血浆贫血WB; P <0.001]用于基因SPTLC1(rs11790991; P = 0.040),CRBP2(rs2118981; P <0.001),BHMT(rs3733890; P = 0.019)和CETP中的叶酸分析,性别(P <0.001)和SNP rs5882; P = 0.017)。显着的双向交互作用包括性别×MTHFR(rs1801131; P = 0.012),性别×CRBP2(rs2118981; P = 0.011)和性别×SCARB1(rs83882; P = 0.003)。 nHcy浓度与显着SNP(SPTLC1,BHMT,CETP,CRBP2,MTHFR和SCARB1)之间的关系是令人感兴趣的,尤其是因为我们调查了健康成年人的主要和相互作用效应,但这是未来研究的重要领域。如前所述,了解Hcy和基因调控非常重要,因为Hcy可能与炎症,肥胖,心血管疾病和糖尿病有关。我们得出结论,性别和SNP显着影响nHcy。

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