Fatty Acid Composition of Plasma Phosphatidylcholine Determines Body Fat Parameters in Subjects with Metabolic Syndrome-Related Traits.

METABOLIC SYNDROME AND RELATED DISORDERS(2017)

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摘要
Background: This study examines the associations of fatty acids (FAs) in plasma phosphatidylcholine (PC) with the anthropometrical and biochemical characteristic of patients with metabolic syndrome (MetS)-related traits. Methods: We analyzed the FA profiles of PC in 300 persons with MetS-related traits (152M/148F, mean age 46.99.0 years) and in 70 healthy controls of the same age using a balanced men/women ratio and gas-liquid chromatography. Multivariate linear regression analysis was performed to determine the coefficients of determination (R-2) using FA proportions of the mentioned proband characteristics. Results: The FA composition of PC in patients with MetS traits was only associated with waist circumference (R-2=0.27), waist-to-hip ratio (WHR; R-2=0.41), body fat percentage (R-2=0.62), and fat mass (R-2=0.29). Positive associations were found for dihomo--linolenic (DGLA), palmitic, stearic (SA), -linolenic (ALA), and eicosapentaenoic acids, whereas negative associations were found for linoleic (LA), oleic, and docosapentaenoic acids. Palmitoleic acid (POA) was positively associated with waist circumference but negatively with fat percentage. In controls, significant associations were found for waist circumference (R-2=0.51), WHR (R-2=0.53), body fat percentage (R-2=0.60), and fat mass (R-2=0.34). DGLA and saturated FA (SFA) were positively associated, whereas docosahexaenoic, adrenic, and cis-vaccenic acids were negatively associated. The study group differed from controls as follows: lower concentrations of LA and total n-6 FA, higher indices of delta-9-desaturase and delta-6 desaturase activity and higher proportions of POA, SA, ALA, DGLA, and SFA. Conclusions: We found significant associations (R-2 >0.25) of FA in plasma PC with adiposity in middle-aged persons with MetS-related traits, but not with metabolic indices.
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fatty acids,phosphatidylcholine,de novo lipogenesis,multivariate linear regression analysis,anthropometric variables
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