ECE2011 Poster Presentations Cardiovascular endocrinology and lipid metabolism (34 abstracts)
Possible association between polyunsaturated fatty acids and parameters of metabolic syndrome in type 2 diabetes mellitus-pilot study
Z Rasic-Milutinovic 1 , M Vujovic 1 , V Popovic-Radinovic 1 , J Tica 1 , Z Gluvic 1 , M Lackovic 1 , G Perunicic-Pekovic 1 & T Popovic 2
1University Clinical Hospital Zemun/Belgrade, Belgrade, Serbia; 2Institute for Medical Research, Laboratory for Nutrition, Belgrade, Serbia.
Bacground: In type 2 diabetes mellitus (T2DM), the level of polyunsaturated fatty acids (PUFA), is usually decreased, and could be accused for metabolic disturbance, chronic inflammation, and accelerated atherosclerosis. The aim of this study was to determine if there is any relationship between composition of plasma phospholipids PUFAs and parameters of metabolic syndrome.
Methods: The study was cross-sectional. Fifteen T2DM patients 63.22±7.20, BMI 25.73±3.24 kg/m2, waist 87.25±5.84 cm, and 22 healthy subjects, age 59.30±3.84, BMI 25.52±2.90, waist 86.45±3.26 cm, participated. Plasma FAs phospholipids profile was determined by GC chromatograph. Demographic and biochemical data, including serum glucose, HbA1c, insulin, lipids, creatinine, albumin, were collected. Univariate analysis and multiple linear regression analysis were performed.
Results: Diabetic patients have shown higher levels of some n-6 PUFA, 18:2n-6, 20:3n-6, 20:4n-6, 22:4n-6, and higher levels of metabolic variables HbA1c, triglicerydes, and insulin resistance calculated by HOMA-IR. 18:2n-6 correlated directly with HbA1c (P<0.05), triglycerides (P<0.05), inversely with HDL-C (P<0.05), and directly with HOMA-IR (P<0.05). By multiple regression analysis 18:2n-6 was still independent predictor of HOMA-IR.
Conclusion: It looks like that n-6 PUFAs, particularly 18:2n-6, could contribute to insulin resistance in T2DM. Therefore, the treatment of insulin resistance in T2DM should include diet modification with reduce intake 18:2n-6 polyunsaturated fatty acid.
Article tools
My recent searches
My recently viewed abstracts
Authors
Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
© Bioscientifica 2024 |
Privacy policy |
Cookie settings
BiosciAbstracts
Bioscientifica Abstracts is the gateway to a series of products that provide a permanent, citable record of abstracts for biomedical and life science conferences.
Find out more