Associated factors of estimated desaturase activity in the EPIC-Potsdam study.
Associated factors of estimated desaturase activity in the EPIC-Potsdam study.
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DOI：
10.1016/j.numecd.2013.10.029
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发表时间：
2014-05
期刊：
影响因子：
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通讯作者：
K. Schiller;S. Jacobs;E. Jansen;C. Weikert;R. Giuseppe;Heiner Boeing;Matthias B. Schulze;J. Kröger
中科院分区：
文献类型：
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作者：
K. Schiller;S. Jacobs;E. Jansen;C. Weikert;R. Giuseppe;Heiner Boeing;Matthias B. Schulze;J. Kröger
背景和目的去饱和酶活性的改变可能与代谢性疾病如2型糖尿病的发生有关。去饱和酶的活性可能会受到饮食和生活方式相关因素的影响，但迄今为止还没有研究系统地研究这些因素。我们的目的是评估协会的人口，人体测量，饮食和生活方式的特点，估计Δ5-，Δ6-和Δ9-desaturaseactivity.Methods和resultsA子样本（n= 1782）的EPIC-Potsdam研究被用于横断面分析，涉及男性和女性，主要年龄在35-65岁。脂肪酸（FA）产品前体的比例，来自红细胞膜磷脂的FA组合物，被用来估计去饱和酶的活动。使用多元线性回归模型，以估计的Δ5-、Δ6-和Δ9-去饱和酶活性作为结果，（年龄、性别），人体测量（BMI、WHR）、饮食摄入量（脂肪酸，碳水化合物）和生活方式（体力活动，吸烟，饮酒）因素作为暴露变量。酒精摄入量与估计的Δ6-（去饱和酶活性的解释方差：1.52%）和估计的Δ9-去饱和酶活性（解释方差：5.53%）。BMI和WHR与Δ5-去饱和酶活性估计值呈弱负相关（解释方差：BMI：1.07%; WHR：1.02%），与Δ6-去饱和酶活性估计值呈弱正相关（解释方差：BMI：1.17%; WHR：1.19%），与Δ9-去饱和酶活性估计值呈弱正相关（解释方差：BMI：0.70%; WHR：0.96%）。年龄，性别，体力活动，吸烟和饮食因素只有弱相关的估计desaturase activities.ConclusionOur研究结果表明，酒精摄入量以及肥胖的措施与FA比率反映desaturase活性。
Background and aimsAltered activity of desaturase enzymes may be involved in the development of metabolic diseases like type 2-diabetes. Desaturase activities might be modifiable by diet and lifestyle-related factors, but no study has systematically investigated such factors so far. We aimed to evaluate the association of demographic, anthropometric, dietary and lifestyle characteristics with estimated Δ5-, Δ6- and Δ9-desaturase activity.Methods and resultsA subsample (n= 1782) of the EPIC-Potsdam study was used for a cross-sectional analysis, involving men and women, mainly aged 35–65 years. Fatty acid (FA) product-to-precursor ratios, derived from the FA composition of erythrocyte membrane phospholipids, were used to estimate desaturase activities. Multiple linear regression models were used with estimated Δ5-, Δ6- and Δ9-desaturase activity as outcome and demographic (age, sex), anthropometric (BMI, WHR), dietary intake (FAs, carbohydrates) and lifestyle (physical activity, smoking, alcohol consumption) factors as exposure variables.Alcohol intake was positively associated with estimated Δ6- (explained variance in desaturase activity: 1.52%) and estimated Δ9-desaturase activity (explained variance: 5.53%). BMI and WHR showed a weak inverse association with estimated Δ5-desaturase activity (explained variance: BMI: 1.07%; WHR: 1.02%) and weak positive associations with estimated Δ6-(explained variance: BMI: 1.17%; WHR: 1.19%) and estimated Δ9-desaturase activities (explained variance: BMI: 0.70%; WHR: 0.96%). Age, sex, physical activity, smoking and dietary factors were only weakly associated with the estimated desaturase activities.ConclusionOur findings suggest that alcohol intake as well as obesity measures are associated with the FA ratios reflecting desaturase activity.