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The association of lipoprotein lipase PvuII polymorphism and niacin intake in the prevalence of metabolic syndrome: a KMSRI-Seoul study

Overview of attention for article published in Genes & Nutrition, October 2011
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Title
The association of lipoprotein lipase PvuII polymorphism and niacin intake in the prevalence of metabolic syndrome: a KMSRI-Seoul study
Published in
Genes & Nutrition, October 2011
DOI 10.1007/s12263-011-0251-9
Pubmed ID
Authors

Eunjung Shin, Na-Young Park, Yangsoo Jang, Hyunhee Oh, Jayoung Jeong, Yunsook Lim, Myoungsook Lee

Abstract

Lipoprotein lipase (LPL) polymorphism correlated with LPL activity is associated with plasma lipid and lipoprotein levels. We aimed to investigate the frequency of LPL PvuII polymorphism and effects of LPL PvuII polymorphism and niacin intake on the prevalence of metabolic syndrome (MetSyn) in Koreans. Lifestyle questionnaires, anthropometry, and dietary records were completed, and LPL PvuII polymorphism, LPL mass, and lipid profiles were determined in 548 Koreans (MetSyn: 278, Non-MetSyn: 270). The MetSyn group showed a significantly lower frequency of P1P1 (wild type) and a higher frequency of P1P2 (hetero type) than the non-MetSyn group. The P2P2 (mutant type) group significantly showed lower levels of HDLc and LPL mass and a higher level of TG than the P1P1 group. As niacin intake increased, LPL mass decreased in the P2P2 group (r (2) = 0.07). In particular, the lowest niacin intake group (≤14.82 mg/day) increased more than 3 times with regard to a higher risk of MetSyn than the others in the P2P2 mutant groups. However, the MetSyn risk declined 74% at the optimal levels of niacin intake (14.83-17.80 mg/day) in the P2P2 group compared to those of the P1 allele group. The findings indicate that optimal levels of niacin intake effectively decreased Korean MetSyn prevalence in the P2P2 mutant group.

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Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 20%
Student > Master 3 20%
Professor > Associate Professor 2 13%
Researcher 2 13%
Unspecified 1 7%
Other 0 0%
Unknown 4 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 27%
Medicine and Dentistry 3 20%
Biochemistry, Genetics and Molecular Biology 1 7%
Computer Science 1 7%
Unspecified 1 7%
Other 0 0%
Unknown 5 33%